Halvik
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Machine Learning Engineer - Remote
role at
Halvik .
Halvik Corp
delivers a wide range of services to executive and independent agencies, including Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of a company that is highly successful with more than 50 prime contracts and 500+ professionals.
Senior Level Mid-Senior level
Employment Type Full-time
Job Function Engineering and Information Technology
Industries IT Services and IT Consulting
Role and Responsibilities
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
Develop LLMs (Large Language Models), RAGs, and AI agent systems for various business applications.
Operationalize models with robust CI/CD workflows.
Deploy models using MLflow, SageMaker, or custom APIs.
Monitor production models for accuracy, drift, and latency; manage retraining schedules.
Data Integration & Architecture 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.
Collaboration & Documentation
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 (scikit-learn, XGBoost, PyTorch, TensorFlow).
Proficient with Databricks, MLflow, and PySpark.
Solid understanding of model lifecycle and MLOps practices.
Experience with AWS-based data infrastructure and related DevOps practices.
Demonstrated ability to productionize 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 model training frameworks (TensorFlow, PyTorch, Hugging Face).
Experience with MLOps tools and workflows, particularly on AWS (SageMaker, 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.
Preferred Skills
Experience building and deploying interactive UIs for AI models using Streamlit, Gradio, or similar frameworks.
Business acumen and ability to align AI solutions with organizational goals.
Optimize compute and storage resources for performance and cost‑efficiency.
Salary: $135,000 – $155,000 per year.
Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include responsibilities of the job, education, experience, knowledge, skills, and abilities, and internal equity and market data.
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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Machine Learning Engineer - Remote
role at
Halvik .
Halvik Corp
delivers a wide range of services to executive and independent agencies, including Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of a company that is highly successful with more than 50 prime contracts and 500+ professionals.
Senior Level Mid-Senior level
Employment Type Full-time
Job Function Engineering and Information Technology
Industries IT Services and IT Consulting
Role and Responsibilities
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
Develop LLMs (Large Language Models), RAGs, and AI agent systems for various business applications.
Operationalize models with robust CI/CD workflows.
Deploy models using MLflow, SageMaker, or custom APIs.
Monitor production models for accuracy, drift, and latency; manage retraining schedules.
Data Integration & Architecture 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.
Collaboration & Documentation
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 (scikit-learn, XGBoost, PyTorch, TensorFlow).
Proficient with Databricks, MLflow, and PySpark.
Solid understanding of model lifecycle and MLOps practices.
Experience with AWS-based data infrastructure and related DevOps practices.
Demonstrated ability to productionize 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 model training frameworks (TensorFlow, PyTorch, Hugging Face).
Experience with MLOps tools and workflows, particularly on AWS (SageMaker, 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.
Preferred Skills
Experience building and deploying interactive UIs for AI models using Streamlit, Gradio, or similar frameworks.
Business acumen and ability to align AI solutions with organizational goals.
Optimize compute and storage resources for performance and cost‑efficiency.
Salary: $135,000 – $155,000 per year.
Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include responsibilities of the job, education, experience, knowledge, skills, and abilities, and internal equity and market data.
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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