Halvik

AI/ML Subject Matter Expert

Vienna, VA, US$195,000-$210,000Posted 3 months ago

Job Description

Halvik Corp

delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special!

Responsibilities

  • Responsible for developing and implementing AI/ML solutions to solve complex problems and enhance business operations.
  • Define direction of mission-critical solutions using best-fit AI/ML algorithms and technologies
  • Work closely with cross-functional teams to design, develop, and deploy AI models and algorithms that enable data-driven decision making.
  • Conduct statistical analyses using ML techniques for customer-focused solutions
  • Collaborate with cross-functional teams to deliver world-class solutions for large-scale data processing
  • Guide clients in navigating ML algorithms, tools, and frameworks
  • Design, develop, and deploy AI models for data-driven decision making and business innovation
  • Create intelligent systems that automate processes, improve efficiency, and drive business innovation, leveraging their expertise in AL/ML, deep learning, and data analysis.
  • Create, train, and maintain intelligent systems to automate processes and improve efficiency
  • Report on industry trends and recommend solutions for AI/ML integration
  • Design and build ML models solving real-world business problems
  • Make informed ML infrastructure decisions based on modeling techniques and issues
  • Write and test application code, develop ML models, and automate tests and deployment
  • Retrain, maintain, and monitor production models
  • Leverage cloud-based architectures to deliver optimized ML models at scale
  • Construct optimized data pipelines for ML models
  • Implement CI/CD best practices for ML model and application code deployment
  • Ensure code security, model governance, and adherence to Responsible and Explainable AI practices
  • Regularly recommend and report on industry trends and solutions to meet evolving client needs regarding techniques, tools and technologies for AI/ML integration.

Requirements

  • Master's degree or Bachelor's of science with 5+ years of industry experience in Computer Science, Software Engineering, Data Science, Statistics, or related STEM field.
  • 5+ years of experience in AI, data science, ML engineering, or related fields
  • 4+ years of experience with modern cloud computing technologies (AWS, Databricks, Microsoft Azure or GCP)
  • Experience in fine-tuning LLMs for custom datasets and/or using RAG to augment LLM applications.
  • Knowledge of multiple ways of tackling AI/ML problems and demonstrated ability to make good initial choices to make systems that perform well more quickly
  • Experience using Generative AI tools to help in software programming and testing (e.g. VS-Code or GitHub with copilot AI)
  • Proficiency in SQL, including advanced query techniques
  • Experience with version control systems (e.g., Git, Github, Jenkins)
  • 6+ years of proficiency in Python and Jupyter notebooks. Experience with other languages such as R, and Scala is a plus but not necessary.
  • Experience developing and assessing AI/ML models and ensembles
  • Support the seamless integration of multi-media data processing into platform data pipelines
  • Experienced in planning, setting-up, running and reporting on AI/ML experiments.
  • Experience building feature repositories for AI-ML model training
  • Project work in deep learning, transformers, computer vision, NLP, or chatbot development
  • Experience in developing Generative AI applications especially using LLMs in domains such as NLP and image processing
  • Knowledge of modern software design patterns (e.g., microservices, edge computing)
  • Experience working with LLM frameworks and foundation models like LLaMa-3 and experience working with LLM model repositories like Huggingface
  • Familiarity with MLOps practices and tools for model versioning and experiment tracking
  • Experience identifying appropriate AI/ML models for a problem and using appropriate techniques to evaluate performance to choose the best model
  • Experience with techniques for tuning model parameters to application data and conditions

Abilities

  • Ability to lead an Agile team of data scientists, engineers, architects and testers
  • Demonstrated ability to work independently
  • Strong problem-solving skills and ability to think creatively to overcome technical challenges
  • Participate in the full machine learning lifecycle, from business understanding, data collection and preprocessing to model selection, evaluation, deployment and monitoring
  • Adapt to rapidly changing technologies and methodologies in the AI/ML field
  • Excellent communication, analytical, and interpersonal skills
  • Ability to gather requirements and work effectively as part of an Agile team
  • Capacity to explain complex technical concepts to non-technical stakeholders
  • Excellent technical writing skills
  • Collaborate with business stakeholders to identify opportunities for AI/ML applications
  • Develop and maintain documentation for ML models, including methodology, assumptions, and limitations
  • Mentor junior team members and contribute to the growth of the AI/ML practice
  • Ability to thrive in a mainly remote work environment
  • Commitment to continuous learning in the fast-evolving AI/ML landscape and look for ways to apply new techniques when appropriate.

Desired Qualifications

  • Having experience and a good understanding of Ux, Human-AI teaming, human factors in AI and software systems
  • Published research papers or patents in the field of AI/ML
  • Knowledge of Agentic AI Systems (e.g. AutoGen, LangGraph, LangChain, CrewAI etc.)
  • Experience with Knowledge Graphs tools and techniques
  • Experience with federated learning or privacy-preserving machine learning techniques
  • Knowledge of data visualization techniques and tools
  • GPU programming experience

Halvik offers a competitive full benefits package including

Company-supported medical, dental, vision, life, STD, and LTD insuranceBenefits include 11 federal holidays and PTOEligible employees may receive performance-based incentives in recognition of individual and/or team achievements.401(k) with company matchingFlexible Spending Accounts for commuter, medical, and dependent care expensesTuition AssistanceCharitable Contribution matching

*Halvik Corp 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 veteran status.*

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