Machine Learning Engineer - Remote

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Halvik Corp delivers a wide range of services to executive and independent agencies, serving more than 500 professionals across the US Government in areas such as Digital Services, Advanced Analytics, Artificial Intelligence/ Machine Learning, Cyber Security, and Cutting Edge Technology.

• 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.

• Develop LLMs, RAGs, and AI agent systems for various business applications; deploy using MLOps.
• Operationalise models with robust CI/CD workflows.
• Deploy models via MLflow, Sage Maker, or custom APIs.
• Monitor production models for accuracy, drift, and latency; manage retraining schedules.

• 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.

• Leverage AWS services including S3, EC2, Lambda, Sage Maker, and Step Functions.

• 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.

• 5+ years of experience in ML Engineering or applied machine learning.
• Strong Python skills and hands‑on experience with libraries such as scikit‑learn, XGBoost, PyTorch, and Tensor Flow.
• Proficient with Databricks, MLflow, and PySpark.
• Solid understanding of model lifecycle and MLOps practices.
• Experience with AWS‑based data infrastructure and related Dev Ops practices.
• Demonstrated ability to product ionise models and integrate with business systems.
• Strong understanding of mathematics and statistics relevant to machine learning and AI.
• Proven experience with machine learning models and algorithms (supervised, unsupervised, deep learning, etc.).
• Solid background in software engineering principles and best practices.
• Hands‑on experience with training frameworks such as Tensor Flow, PyTorch, and Hugging Face.
• Experience with MLOps tools and workflows on AWS (Sage Maker, Lambda, S3, etc.).
• Practical experience with LLMs, RAGs, and AI agent architectures.
• Proficiency with the Databricks platform for data engineering and ML pipelines.
• Advanced programming skills in Python.
• Excellent communication and teamwork abilities.

• Experience building and deploying interactive UIs for AI models using Streamlit, Gradio, or similar frameworks for rapid prototyping and real‑time model interactions.
• Business acumen and ability to align AI solutions with organizational goals.
• Optimize compute and storage resources for performance and cost‑efficiency.

Halvik’s pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Salary: $135,000 – $155,000 per year.

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.

Mid‑Senior level

Full‑time

Engineering and Information Technology

IT Services and IT Consulting