What You'll Do:

Halvik is seeking qualified AI ML Engineer to support a federal customer. A key member for a team of Data scientists, AI-ML experts and Data Engineers connecting complex data ecosystems and AI-ML models to solve real-world challenges.

• Conduct statistical analyses on business processes using ML techniques to deliver a customer-focused solution
• Own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies
• Collaborate with data engineers, data scientists, software engineers, solutions architects, and product owners to deliver world-class solutions to real-world problems, processing data and information at a massive scale, developing pipelines that optimize the use of infrastructure, and integrating critical technologies into efficient user experiences
• Use consulting skills and technical expertise to guide clients as they navigate the landscape of ML algorithms, tools, and frameworks
• Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
• Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications
• Retrain, maintain, and monitor models in production
• Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
• Construct optimized data pipelines to feed ML models
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI
• Use programming languages like Python, Scala, or R

What You Need:

• Master's Degree in Computer science, Software engineering, Data Science, Statistics, or STEM related specialty
• 3+ years of experience with artificial intelligence, data science, ML engineering, data research, software engineering, or data analytics.
• 5+ years of experience with modern Cloud computing technologies: AWS and Microsoft Azure
• Demonstrated experience with Generative AI.
• Demonstrated experience tuning neural networks, such as LLMs, on custom data sets and applying results to specific use cases.
• Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
• Demonstrated professional or academic experience with version control systems such as Github and Jenkins
• Demonstrated experience with the Python, R, Scala.
• Demonstrated professional or academic experience developing models and ensembles in the AI/ML space, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance.
• Demonstrated professional or academic experience in building feature repository for training AI-ML models.
• Demonstrated experience with project work in deep learning, computer vision, NLP, or chatbot development.
• Knowledge of modern software design patterns, including microservice design or edge computing.
• Demonstrated experience with frameworks, including Huggingface, LangChain, AutoGPT, or AgentGPT.
• Experience with GPU programming.
• Ability to gather requirements from customers and lead Agile teams.
• Experience with cloud AI ML capabilities like AWS, Databricks is a plus.