Overview We are seeking an innovative and experienced AI Architect to join our dynamic team. The ideal candidate will be responsible for designing and implementing advanced AI solutions that leverage machine learning data mining and big data technologies. You will work closely with cross-functional teams to develop scalable architectures that support our AI initiatives and drive business value. Responsibilities Design and architect AI solutions using various machine learning frameworks including TensorFlow and Spark. Develop and implement models for supervised and unsupervised learning ensuring effective model training and deployment. Collaborate with data engineers to design ETL processes and optimize database design for efficient data storage and retrieval. Utilize programming languages such as Python Java C and R to develop algorithms that enhance AI capabilities. Engage in data mining activities to extract meaningful insights from large datasets using tools like Hadoop and Talend. Implement natural language processing techniques to improve user interactions with AI systems. Work with linked data technologies to enhance data interoperability across platforms. Conduct analytics using Looker and other visualization tools to present findings to stakeholders. Stay updated on advancements in quantum engineering and explore their application in AI solutions. Requirements Proven experience in AI architecture with a strong understanding of machine learning principles. Proficiency in programming languages including Python Java C R and SQL. Familiarity with big data technologies such as Hadoop Spark and analytics tools like SAS. Experience with model training deployment and evaluation in a production environment. Strong knowledge of ETL processes and database design principles. Understanding of unsupervised learning techniques and their applications in real-world scenarios. Ability to work collaboratively in a team-oriented environment while managing multiple projects effectively. Excellent problem-solving skills with a keen attention to detail. Join us as we push the boundaries of artificial intelligence technology! Serious Candidates contact: Zenith.Aii@Mail.com Thank you Job Type: Internship Pay: $12000.00 - $18000.00 per year Benefits: Flexible schedule Paid time off Tuition reimbursement Work Location: Remote

AI Coach & Technical Mentor Role Overview Metric5 is seeking an AI Enablement Consultant to coach and mentor federal employees in the practical application of traditional and generative AI. This role combines deep technical expertise with strong communication and instructional skills to guide agency teams in integrating AI capabilities into their existing large-scale data infrastructure aiming to reduce fraud waste and abuse. Rather than building solutions directly the consultant will leverage their technical expertise along with strong relationship skills to build rapport and trust with federal technical leadership and enhance their knowledge confidence and independence in managing generative AI products and workflows. Success will be measured by the uplift in the federal team's understanding skills and applied outcomes. How This Role Differs from Typical AI Roles This role is not focused on building generative AI solutions for the agency—it’s about building the agency’s internal capacity to do it themselves. Unlike traditional AI roles that prioritize model development or product delivery this position centers on coaching and mentorship helping federal employees understand apply and manage traditional and generative AI within their agency’s context. Success is measured by the knowledge uplift and practical confidence of the federal employees. It blends deep technical expertise with a strong human-centered instructional skill set—rare in most AI job descriptions. AI Expertise (Practical & Applied) + Practical experience using AI models to solve use cases in fraud detection or management. + Deep understanding of traditional AI aand GenAI models frameworks and other techniques and methodologies with an emphasis on feasibility and scalability. + Experience coding fine-tuning and deploying GenAI models (PyTorch TensorFlow Transformers LangChain MLOps and LLMOps) + Experience delivering and deploying GenAI models in a large enterprise setting + Knowledge of responsible AI development and ethical use Coaching & Mentorship Expertise + Demonstrated success in coaching technical teams and individuals + Skilled in designing and delivering practical hands-on learning + Adapts approaches based on skill gaps learning styles and team progress + Practices active listening empathy patience and persistent support + Assist stakeholders in understanding the potential and limitations of AI when planning designing and implementing new products or applications. Federal Environment & Consulting Context Acumen + Experience navigating federal IT compliance and data policies + Skilled in managing client relationships and structured consulting engagements + Ability to align AI work with procurement and organizational dynamics + Understanding of data lake architecture and its implications for generative AI integration + Ability to advise on AI/data alignment security and governance in federal data ecosystem Product Thinking & Use Case Strategy + Experience managing AI product lifecycle and use case development + Skilled at translating stakeholder needs into actionable GenAI solutions + Familiarity with validation prioritization and iterative design Professional & Consulting Execution Skills + Strong communicator across technical and non-technical audiences + Diagnoses technical/product issues and supports problem-solving + Takes initiative and provides support without heavy direction Education: Bachelors degree or equivalent experience required. Masters Degree or higher preferred. Salary Range: $125000 - $145000 annually Location: Remote within the United States. This role will require monthly travel to Baltimore MD Clearance: Must be able to obtain and maintain a federal Public Trust/Suitability which includes a requirement of U.S. residency for three out of the last 5 years About Metric5 Metric5 is a small business with big company benefits. We have a passionate team of smart fun caring professionals and we are here for the long haul. Join our growing team in a business where your contributions make an enormous impact. Our organization offers a comprehensive employee benefits package continuous professional development with a best in class company culture that is enjoyable to work in and supports the growth of each of our professionals. Our benefits include: Health & Dental Insurance with 100% of individual coverage paid for by the company Vision Insurance Life & Short Term Disability Insurance 401K with company match (employees are immediately vested) Paid Vacation 9 Paid Holidays per year (plus 2 paid floating holidays) Parental Leave Employee Bonuses Professional Development Reimbursement Program Tuition Assistance Program Metric5 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran.

AI Coach & Technical Mentor Role Overview Metric5 is seeking an AI Enablement Consultant to coach and mentor federal employees in the practical application of traditional and generative AI. This role combines deep technical expertise with strong communication and instructional skills to guide agency teams in integrating AI capabilities into their existing large-scale data infrastructure aiming to reduce fraud waste and abuse. Rather than building solutions directly the consultant will leverage their technical expertise along with strong relationship skills to build rapport and trust with federal technical leadership and enhance their knowledge confidence and independence in managing generative AI products and workflows. Success will be measured by the uplift in the federal team's understanding skills and applied outcomes. How This Role Differs from Typical AI Roles This role is not focused on building generative AI solutions for the agency—it’s about building the agency’s internal capacity to do it themselves. Unlike traditional AI roles that prioritize model development or product delivery this position centers on coaching and mentorship helping federal employees understand apply and manage traditional and generative AI within their agency’s context. Success is measured by the knowledge uplift and practical confidence of the federal employees. It blends deep technical expertise with a strong human-centered instructional skill set—rare in most AI job descriptions. AI Expertise (Practical & Applied) + Practical experience using AI models to solve use cases in fraud detection or management. + Deep understanding of traditional AI aand GenAI models frameworks and other techniques and methodologies with an emphasis on feasibility and scalability. + Experience coding fine-tuning and deploying GenAI models (PyTorch TensorFlow Transformers LangChain MLOps and LLMOps) + Experience delivering and deploying GenAI models in a large enterprise setting + Knowledge of responsible AI development and ethical use Coaching & Mentorship Expertise + Demonstrated success in coaching technical teams and individuals + Skilled in designing and delivering practical hands-on learning + Adapts approaches based on skill gaps learning styles and team progress + Practices active listening empathy patience and persistent support + Assist stakeholders in understanding the potential and limitations of AI when planning designing and implementing new products or applications. Federal Environment & Consulting Context Acumen + Experience navigating federal IT compliance and data policies + Skilled in managing client relationships and structured consulting engagements + Ability to align AI work with procurement and organizational dynamics + Understanding of data lake architecture and its implications for generative AI integration + Ability to advise on AI/data alignment security and governance in federal data ecosystem Product Thinking & Use Case Strategy + Experience managing AI product lifecycle and use case development + Skilled at translating stakeholder needs into actionable GenAI solutions + Familiarity with validation prioritization and iterative design Professional & Consulting Execution Skills + Strong communicator across technical and non-technical audiences + Diagnoses technical/product issues and supports problem-solving + Takes initiative and provides support without heavy direction Education: Bachelors degree or equivalent experience required. Masters Degree or higher preferred. Salary Range: $125000 - $145000 annually Location: Remote within the United States. This role will require monthly travel to Baltimore MD Clearance: Must be able to obtain and maintain a federal Public Trust/Suitability which includes a requirement of U.S. residency for three out of the last 5 years About Metric5 Metric5 is a small business with big company benefits. We have a passionate team of smart fun caring professionals and we are here for the long haul. Join our growing team in a business where your contributions make an enormous impact. Our organization offers a comprehensive employee benefits package continuous professional development with a best in class company culture that is enjoyable to work in and supports the growth of each of our professionals. Our benefits include: Health & Dental Insurance with 100% of individual coverage paid for by the company Vision Insurance Life & Short Term Disability Insurance 401K with company match (employees are immediately vested) Paid Vacation 9 Paid Holidays per year (plus 2 paid floating holidays) Parental Leave Employee Bonuses Professional Development Reimbursement Program Tuition Assistance Program Metric5 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran.

Job Overview We are seeking innovative and experienced AI QA Engineers to join our dynamic team. The ideal candidate will be responsible for designing and implementing advanced Quality Assurance AI solutions that leverage Manual testing methods. This role requires a deep understanding of various AI frameworks and tools as well as the ability to collaborate with cross-functional teams to drive impactful projects. Responsibilities Design and develop from scratch the AI testing framework that meets business requirements and enhances operational efficiency. Must have experience in the Healthcare Industry. Conduct model training deployment and optimization to ensure high performance and accuracy. Collaborate with data engineers to design ETL processes for data ingestion and transformation. Utilize big data technologies like Hadoop for processing large datasets efficiently. Engage in data mining activities to extract valuable insights from structured and unstructured data. Develop analytics solutions using tools such as Looker and SAS to support decision-making processes. Work with linked data concepts to enhance data interoperability across systems. Ensure database design aligns with best practices for scalability and performance. Stay updated on the latest advancements in AI technologies including quantum engineering. Skills Proficiency in programming languages such as Python Java C and SQL. Experience with machine learning frameworks including TensorFlow Spark and SAS. Strong knowledge of unsupervised learning techniques and model training methodologies. Familiarity with ETL tools like Talend for efficient data processing workflows. Understanding of database design principles and experience with analytics tools like Looker. Ability to work with Bash (Unix shell) for scripting tasks in a Unix environment. Knowledge of natural language processing techniques for developing AI-driven applications. Experience in big data technologies such as Hadoop is a plus. Join us in shaping the future of AI technology by applying your expertise in this exciting role! Job Type: Full-time Pay: $50.00 - $60.00 per hour Expected hours: 40 per week Benefits: 401(k) Work Location: Remote

Senior Software Engineer Full-Time Position ($125-150k) Portland Oregon About Us Rapta is revolutionizing American manufacturing with our AI-powered vision systems. Our cutting-edge software platform helps expand manufacturing capacity 30% by reducing errors 90%+ and automating quality control and inspection processes. Position Overview We're seeking an experienced Senior Software Engineer to join our team in developing distributed cutting-edge applied AI systems. This is a full-time position working directly with our engineering team and CTO to drive technical innovation and mentor mid-level and junior engineers. What You'll Do Contribute to the architecture and development of production-grade distributed computer vision systems Drive research initiatives and experimental design to advance our AI servicing systems Build scalable data processing pipelines for training and validation Provide technical guidance to junior team members What We're Looking For 5+ years of professional experience developing computer vision systems Deep curiosity for all software and artificial intelligence related topics Expert-level Python programming and software architecture skills Strong system design and architecture skills Excellence in technical communication and documentation Required Technical Skills Expertise in prompt engineering and mature integration of modern AI-driven coding assistants in your development workflow Expertise in building scalable and distributed ML training and inference pipelines Experience with TensorFlow PyTorch or similar deep learning frameworks Proficiency with version control and CI/CD practices Experience with cloud infrastructure and distributed computing Nice to Have Previous experience in manufacturing industrial automation or quality control systems Understanding of industrial cameras sensors and imaging hardware Knowledge of manufacturing processes and quality standards (ISO Six Sigma) Experience with real-time processing and edge computing constraints Experience with computer vision libraries (OpenCV scikit-image) Why Join Us? Work with cutting-edge AI technology in a high-impact industry Competitive compensation and benefits package Professional development and learning opportunities Opportunity to shape manufacturing technology that impacts American industry Location Requirements We work remote but prefer candidates to be local in the Portland Oregon metro area Equal Opportunity Rapta is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer making decisions without regard to race color religion creed sex sexual orientation gender identity marital status national origin age veteran status disability or any other protected class. How to Apply No recruiters or agencies - we only accept applications directly from applicants. qTuLCZV6fQ

Overview: TISTA is seeking a highly skilled Resident Solutions Architect (RSA) to provide advanced technical expertise and guidance in support of our Data and Artificial Intelligence (AI) initiatives. The RSA will play a critical role in shaping and executing modern cloud-native architectures ensuring secure scalable and innovative solutions that align with mission and enterprise requirements. TISTA associates enjoy above Industry Healthcare Benefits Remote Working Options Paid Time Off Training/Certification opportunities Healthcare Savings Account & Flexible Savings Account Paid Life Insurance Short-term & Long-term Disability 401K Match Tuition Reimbursement Employee Assistance Program Paid Holidays Military Leave and much more! Responsibilities: Design and implement end-to-end architectures on Databricks Spark and Delta Lake supporting large-scale ingestion ELT and advanced analytics. Architect medallion (Bronze Silver Gold) data lakehouse patterns with batch and real-time pipelines. Enable ML/AI capabilities using MLflow TensorFlow PyTorch and other libraries within collaborative workspaces. Define and enforce security standards including RBAC SCIM SAML SSO and secrets management. Ensure compliance with security requirements while deploying in customer-controlled VPCs. Integrate BI tools (Tableau Power BI etc.) and ensure interoperability across ecosystems. Provide technical leadership documentation and mentorship to engineering and data science teams. Partner with stakeholders to translate requirements into scalable and secure solutions. Qualifications: Bachelor’s degree in Computer Science Engineering or related field. 8+ years of experience in solutions architecture data engineering or related roles. Strong expertise in Databricks Apache Spark and Delta Lake. Proven experience designing secure cloud-native architectures (AWS Azure or GCP). Hands-on experience with SQL Python R or Scala in data/analytics contexts. Deep understanding of ACID transactions data versioning and point-in-time querying Practical experience with AI/ML model development deployment or integration. Experience with data governance security controls and RBAC using Unity Catalog. Strong communication skills with the ability to engage both technical and business stakeholders. Preferred Qualifications: Master’s degree in a technical discipline. Or Bachelors with 10+ years of experience Experience supporting large-scale federal or healthcare data platforms. Familiarity with ML/AI tools (MLflow TensorFlow PyTorch XGBoost). Knowledge of CI/CD pipelines GitHub integration and DevOps best practices. Experience with BI and visualization tools (Power BI Tableau MicroStrategy Qlik). Databricks certification (e.g. Databricks Certified Solutions Architect Databricks Certified Data Engineer). Relevant cloud certifications (AWS Solutions Architect Azure Solutions Architect Databricks Certified Architect). Location: Remote (U.S. Based) Clearance Requirement: Must be a U.S. Citizen or Green Card holder and able to obtain a Public Trust clearance Employment Type: Full-time/Contract Pay Range: The pay for this position ranges from $140730 to $180500. The actual salary offer will carefully consider a wide range of factors including your skills qualifications experience and location. Also certain positions are eligible for additional forms of compensation such as bonuses. TISTA associates are eligible to participate in our comprehensive benefits plan! More information can be found here: https://tistatech.com/working-at-tista/

"Job Overview This position offers an exciting opportunity to pioneer agentic AI and next-generation intelligent systems for the health tech domain. You will help transform patient experiences clinical workflows and healthcare delivery through advanced GCP-powered solutions.. This role requires a deep understanding of various Agentic AI & Next-Gen AI Tech and GCP cloud technologies. The AI Architect will collaborate with cross-functional teams to develop scalable AI models and ensure successful deployment in production environments. MUST HAVES:· Will be building AI applications on the GCP platform. Team is building a ""Primary Care Physician AI Assistant· Must have prior GCP + AI Architecture experience. · Architect will be very 'hands-on' with architecture coding support guidance . Duties Design and develop AI architectures that support business objectives and enhance operational efficiency. Implement machine learning algorithms using frameworks such as TensorFlow Spark and R. Collaborate with data engineers to create ETL processes for data integration and transformation. Conduct model training validation and deployment while ensuring optimal performance. Utilize big data technologies like Hadoop to manage large datasets effectively. Engage in data mining and analytics to extract actionable insights from complex datasets. Develop solutions using programming languages such as Python Java C and SQL. Work with linked data principles to enhance data interoperability across systems. Leverage cloud platforms like AWS for scalable model deployment and management. Stay updated with advancements in AI technologies including quantum engineering and natural language processing. Qualifications Proven experience in AI architecture design and implementation. Strong proficiency in machine learning techniques and frameworks (e.g. TensorFlow SAS). Familiarity with big data technologies (e.g. Hadoop) and database design principles. Experience with programming languages including Python Java C R SQL VBA and Bash (Unix shell). Knowledge of ETL tools such as Talend for efficient data processing. Understanding of unsupervised learning methods and their applications in real-world scenarios. Ability to analyze complex datasets using analytics tools like Looker. Excellent problem-solving skills with a focus on innovative solutions in AI development. Strong communication skills to effectively collaborate with technical teams and stakeholders. Join us as we push the boundaries of artificial intelligence and make a significant impact across various industries! Job Type: Full-time Pay: $70.00 - $80.00 per hour Expected hours: 40 per week Benefits: 401(k) Work Location: Remote"

Job Summary: We are expanding our team of motivated technologists to build AI and ML solutions for our customer. Specifically looking for an ML Engineer who is passionate about helping customers build Data Science and AI/ML solutions at scale. Your insight and expertise will help our delivery teams build ML solutions and build solutions across Data Science Machine learning Generative AI databases security and automation. In addition you will work with mid-tier technologies that include application integration security and much more! This position is ideal for candidates with a strong foundation in machine learning principles data processing and software engineering. You will support the design development and deployment of ML models and pipelines as well as assist in ingesting and transforming data for machine learning use cases. Work Location: Remote ### Key Responsibilities: + Assist in developing training and validating machine learning models for real-world applications (e.g. classification prediction and recommendation systems). + Build and maintain data ingestion pipelines from structured and unstructured sources using Python and SQL-based tools + Perform data cleaning normalization and feature engineering to prepare high-quality datasets for ML training and evaluation. + Collaborate on ML projects such as outcome prediction systems image classification models and intelligent search interfaces. + Contribute to building interactive applications by integrating ML models into frontend/backend systems (e.g. React Django REST APIs). + Participate in MLOps workflows including model versioning basic deployment tasks and experiment tracking. + Document data flows ML experiments and application logic consistently. + Attend Agile meetings and collaborate with peers through code reviews and sprint activities. ### Required Qualifications: + Bachelor’s degree in Computer Science Data Science Statistics Engineering or a related field. + Experience in machine learning data engineering or software development roles (internships or academic projects acceptable). + Solid understanding of supervised learning classification and data preprocessing techniques. + Experience with data engineering concepts including SQL PostgreSQL and REST API integration + Basic knowledge of data ingestion and transformation concepts. + Proficiency in Python and common ML libraries (e.g. scikit-learn pandas NumPy TensorFlow or PyTorch). + Familiarity with full-stack or web-based ML applications (e.g. React Django or Android Studio projects). + Familiarity with SQL and data wrangling tools. + Experience with version control tools like Git. + Strong problem-solving skills and attention to detail. + Effective communication and documentation skills. + Enthusiasm for learning new tools and growing within a collaborative team environment ### Preferred Qualifications: + Exposure to cloud platforms such as AWS GCP or Azure. + Experience with pyton Spark Airflow or data pipeline frameworks. + Understanding of basic data architecture concepts (e.g. data lakes warehouses). + Participation in ML/DS projects hackathons or Kaggle competitions. ### Sponsorship + This role is not sponsorship eligible + Candidates need to be legally allowed to work in the US for any employer The following information is required by pay transparency legislation in the following states: CA CO HI NY and WA. This information applies only to individuals working in these states. The anticipated pay range for Colorado is: $ 69900 - $102520 The anticipated starting pay range for California New York City and Washington is: $ 81500 - 119460 Based on eligibility compensation for the role may include variable compensation in the form of bonus commissions or other discretionary payments. These discretionary payments are based on company and/or individual performance and may change at any time. Actual compensation is influenced by a wide array of factors including but not limited to skill set level of experience licenses and certifications and specific work location. Information on benefits offered is here. About Rackspace Technology We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges designing solutions that scale building and managing those solutions and optimizing returns into the future. Named a best place to work year after year according to Fortune Forbes and Glassdoor we attract and develop world-class talent. Join us on our mission to embrace technology empower customers and deliver the future. More on Rackspace Technology Though we’re all different Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age color disability gender reassignment or identity or expression genetic information marital or civil partner status pregnancy or maternity status military or veteran status nationality ethnic or national origin race religion or belief sexual orientation or any legally protected characteristic. If you have a disability or special need that requires accommodation please let us know. #LI-RL1 #US-Remote

Overview: TISTA is seeking a highly skilled Resident Solutions Architect (RSA) to provide advanced technical expertise and guidance in support of our Data and Artificial Intelligence (AI) initiatives. The RSA will play a critical role in shaping and executing modern cloud-native architectures ensuring secure scalable and innovative solutions that align with mission and enterprise requirements. TISTA associates enjoy above Industry Healthcare Benefits Remote Working Options Paid Time Off Training/Certification opportunities Healthcare Savings Account & Flexible Savings Account Paid Life Insurance Short-term & Long-term Disability 401K Match Tuition Reimbursement Employee Assistance Program Paid Holidays Military Leave and much more! Responsibilities: Design and implement end-to-end architectures on Databricks Spark and Delta Lake supporting large-scale ingestion ELT and advanced analytics. Architect medallion (Bronze Silver Gold) data lakehouse patterns with batch and real-time pipelines. Enable ML/AI capabilities using MLflow TensorFlow PyTorch and other libraries within collaborative workspaces. Define and enforce security standards including RBAC SCIM SAML SSO and secrets management. Ensure compliance with security requirements while deploying in customer-controlled VPCs. Integrate BI tools (Tableau Power BI etc.) and ensure interoperability across ecosystems. Provide technical leadership documentation and mentorship to engineering and data science teams. Partner with stakeholders to translate requirements into scalable and secure solutions. Qualifications: Bachelor’s degree in Computer Science Engineering or related field. 8+ years of experience in solutions architecture data engineering or related roles. Strong expertise in Databricks Apache Spark and Delta Lake. Proven experience designing secure cloud-native architectures (AWS Azure or GCP). Hands-on experience with SQL Python R or Scala in data/analytics contexts. Deep understanding of ACID transactions data versioning and point-in-time querying Practical experience with AI/ML model development deployment or integration. Experience with data governance security controls and RBAC using Unity Catalog. Strong communication skills with the ability to engage both technical and business stakeholders. Preferred Qualifications: Master’s degree in a technical discipline. Or Bachelors with 10+ years of experience Experience supporting large-scale federal or healthcare data platforms. Familiarity with ML/AI tools (MLflow TensorFlow PyTorch XGBoost). Knowledge of CI/CD pipelines GitHub integration and DevOps best practices. Experience with BI and visualization tools (Power BI Tableau MicroStrategy Qlik). Databricks certification (e.g. Databricks Certified Solutions Architect Databricks Certified Data Engineer). Relevant cloud certifications (AWS Solutions Architect Azure Solutions Architect Databricks Certified Architect). Location: Remote (U.S. Based) Clearance Requirement: Must be a U.S. Citizen or Green Card holder and able to obtain a Public Trust clearance Employment Type: Full-time/Contract Pay Range: The pay for this position ranges from $140730 to $180500. The actual salary offer will carefully consider a wide range of factors including your skills qualifications experience and location. Also certain positions are eligible for additional forms of compensation such as bonuses. TISTA associates are eligible to participate in our comprehensive benefits plan! More information can be found here: https://tistatech.com/working-at-tista/

Company Overview Pantheon Data (a Kenific Holding company) is a private small business based in the Washington DC area. Pantheon Data was founded in 2011 initially providing acquisition and supply chain management services to the US Coast Guard. Our service offerings have grown in the past ten years including infrastructure resiliency contact center operations information technology software engineering program management strategic communications engineering and cybersecurity. We have also grown our customer base to include commercial clients. The company has used this experience to expand our service offerings to other agencies within the Department of Homeland Security (DHS) the Department of Defense (DoD) and other Federal Civilian Agencies. Position Overview Pantheon Data is seeking a Senior AI/ML Engineer to join our team supporting a U.S. Navy digital transformation project. The ideal candidate will have deep technical expertise in developing training and deploying machine learning models to solve complex problems in engineering and logistics domains. This role requires hands-on technical work as well as collaboration with product manager data engineers and Navy stakeholders to ensure solutions align with mission needs and operate effectively within DoD environments. Responsibilities Develop and deploy AI models and algorithms on Azure or AWS platforms to deliver scalable and reliable AI solutions. Collaborate with program managers and other team members to understand business requirements and translate them into technical specifications and AI solutions. Design build and optimize AI pipelines data ingestion preprocessing model training and deployment workflows on cloud platform. Conduct research and stay up to date with the latest AI technologies frameworks and tools offered by Azure and AWS. Evaluate and recommend the most suitable AI services based on project requirements and constraints. - Implement and optimize distributed computing and parallel processing techniques to handle large-scale datasets and high-performance AI models. Ensure security privacy and compliance of AI solutions by following best practices and cloud platform guidelines. Collaborate with DevOps/MLOps teams to automate the deployment scaling and monitoring of AI applications on Azure or AWS. Required Skills and Experience A Bachelor of Science (BS) degree in Information Technology Cybersecurity Data Science Information Systems or Computer Science from an ABET accredited or CAE designated institution. Security+ Certification Experience in cloud infrastructure development: AWS and Azure. Experience in one or more of the ML model development libraries: TensorFlow PyTorch scikit-learn etc. Experience with Terraform and Docker is a plus. Strong experience with NoSQL Python and basic Linux. 6+ years professional hands-on experience in an AI/ML engineering role. Excellent communication skills with the ability to interact clearly and succinctly in written and oral presentations. Detail-oriented self-motivated and organized. Ability to work effectively remotely in cross-functional teams. Ability to meet deadlines and produce quality work. Proficient in Microsoft Suite software including Outlook Word Excel SharePoint and PowerPoint. Preferred Skills and Experience Working knowledge of Agile Scrum methodology. AWS (Amazon Web Services) and/or Microsoft Azure. Certification(s) a plus. Experience using big data technologies (Hadoop Hive HBase Spark EMR etc.) SQL relational and non-relational databases. Demonstrated experience with ML Flow and Databricks. Demonstrated experience using AI for software development (Vibe Coding) Experience with unit testing/integration testing is a plus. Experience developing code within a government hosted environment. Clearance Requirements U.S. Citizenship with the ability to obtain and maintain a DoD Secret clearance. Work Location: United States - Remote Our company prioritizes the benefits of flexibility and collaboration whether that happens in person or remotely. If the position is remote or hybrid you may periodically work from a Pantheon Data office location or client site. If this position is assigned to a Pantheon Data office location or client site you'll work with colleagues and clients in person as needed for specific client requirements. Compensation The salary range for this position is $140000 - $180000. This is not however a guarantee of compensation or salary. Rather salary will be set based on experience geographic location and possibly contractual requirements and could fall outside of this range. Benefits Overview We are always looking for good people! Pantheon Data is committed to providing its employees with competitive salaries and benefits in order to increase employee satisfaction and productivity.In addition to our benefits we also offer SmartBenefits through the Washington Metro Area Transportation Authority where you specify an amount of your pre-tax wages be paid directly to your SmarTrip account. In some cases tuition assistance may be available for continuing education expenses and certifications related to their position. Additional details may be found at https://pantheon-data.com/careers/ Pantheon Data Important Information All qualified applicants will be considered for employment without regard to disability status as a protected veteran or any other status protected by applicable federal state local or international law. As part of the application process you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. If you require reasonable accommodation in completing this application interviewing completing any pre-employment testing or otherwise participating in the employee selection process please direct your inquiries to our Talent Team at Recruiting@pantheon-data.com or by phone (571) 363-4020. This company uses E-Verify to confirm each employee's work authorization. For more information click here E-Verify Participation Poster