Machine Learning Engineer - Remote

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!

Role and Responsibilities

Model Development

• Collaborate with data scientists and SMEs to develop ML models using curated datasets.
• Conduct experiments, prototypes, and proof-of-concepts to validate model performance.
• Create scalable and reusable training pipelines using Databricks notebooks and MLflow.

Implementation and Optimisation

• LLMs (Large Language Models), RAGs, and AI agent systems for various business applications. DeploymentMLOps
• Operationalize models with robust CI/CD workflows.
• Deploy models usingMLflow, SageMaker, or custom APIs.
• Monitor production models for accuracy, drift, and latency; manage retraining schedules.

Data IntegrationArchitecture Alignment

• Work closely with Data Engineering to align ML pipelines with the Bronze, Silver, Gold layers of a Medallion Architecture.
• Engineer high-quality features and maintain training/inference pipelines.

Cloud and Platform Engineering

* Leverage AWS services including S3, EC2, Lambda, SageMaker, and Step Functions.

CollaborationDocumentation

• Document ML artifacts, processes, and performance outcomes.
• Contribute to agile project ceremonies and maintain a feedback loop with stakeholders.
• Share knowledge and mentor junior team members.

Required Skills

• 5+ years of experience in ML Engineering or Applied Machine Learning.
• Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow).
• Proficient with Databricks, MLflow, and PySpark.
• Solid understanding of model lifecycle and MLOps practices.
• Experience wi...