Machine Learning Engineer - Remote
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About The Company:
Halvik Corp is a leading provider of comprehensive digital services dedicated to supporting federal agencies across the United States. Serving 13 executive agencies and 15 independent agencies, Halvik has established itself as a highly successful WOB (Women-Owned Business) enterprise with a robust portfolio of more than 50 prime contracts. Our team of over 500 professionals specializes in delivering innovative solutions in Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security, and Cutting-Edge Technology. Our mission is to empower government agencies with transformative technology solutions that enhance operational efficiency, security, and service delivery. At Halvik, we foster a culture of innovation, collaboration, and excellence, making us a trusted partner in advancing national interests. Join us to be part of a dynamic organization committed to making a meaningful impact through technology.
About The Role:
We are seeking an experienced Machine Learning Engineer to join our team and contribute to the development, deployment, and maintenance of advanced AI and ML solutions for federal government clients. In this role, you will collaborate with data scientists, data engineers, and stakeholders to design and implement scalable machine learning models and AI systems. Your responsibilities will include developing and optimizing models, integrating them into production environments, and ensuring their performance aligns with operational requirements. You will leverage cloud platforms such as AWS and data engineering tools like Databricks to build robust ML pipelines and architectures. The ideal candidate will have a strong background in applied machine learning, MLOps practices, and cloud infrastructure, with a passion for innovation and continuous improvement. This position offers an exciting opportunity to work on cutting-edge AI projects that have a real-world impact on government operations and national security.
Qualifications:
- 5+ years of experience in Machine Learning Engineering or Applied Machine Learning
- Proficiency in Python programming and experience with ML libraries such as scikit-learn, XGBoost, PyTorch, and TensorFlowHands-on experience with Databricks, MLflow, and PySparkStrong understanding of the ML model lifecycle and MLOps practices
- Experience with AWS services including S3, EC2, Lambda, SageMaker, and Step Functions
- Demonstrated ability to productionize models and integrate them into business systems
- Solid knowledge of mathematics and statistics relevant to machine learning and AIExperience with various machine learning algorithms (supervised, unsupervised, deep learning)
- Background in software engineering principles and best practices
- Practical experience with model training frameworks such as TensorFlow, PyTorch, and Hugging FaceHands-on experience with LLMs, RAGs, and AI agent architectures
- Excellent communication and teamwork skills
Responsibilities:
- Collaborate with data scientists and subject matter experts to develop machine learning models using curated datasets
- Conduct experiments, prototypes, and proof-of-concepts to validate model performance
- Create scalable and reusable training pipelines utilizing Databricks notebooks and MLflowImplement and optimize models including LLMs, RAGs, and AI agent systems for various business applications
- Operationalize models with robust CI/CD workflows, deploying via MLflow, SageMaker, or custom APIsMonitor production models for accuracy, drift, and latency; manage retraining schedules accordingly
- Work closely with Data Engineering teams to align ML pipelines with Medallion Architecture layers (Bronze, Silver, Gold)
- Engineer high-quality features and maintain training/inference pipelines for efficiency and reliability
- Leverage AWS cloud services such as S3, EC2, Lambda, and Step Functions for platform engineering
- Document ML artifacts, processes, and performance outcomes to ensure transparency and reproducibility
- Participate in agile project ceremonies and maintain ongoing communication with stakeholders
- Mentor junior team members and share knowledge to foster team growth and expertise
Benefits:
- Competitive salary commensurate with experience and skills
- Comprehensive health, dental, and vision insurance plans
- Retirement savings plans with company matching
- Opportunities for professional development and continuous learning
- Work on innovative projects with cutting-edge technologies
- Flexible work arrangements and supportive work environment
- Paid time off and holidays
Equal Opportunity
Halvik Corp is an equal opportunity employer. We are committed to fostering an inclusive environment where all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. We believe diversity enriches our team and drives innovation, and we welcome applicants from all backgrounds to join our organization.