Job Title :Machine Learning Engineer
Location : Remote
Duration: 10+ Months
Bill rate: $70/Hr on w2
Job Type: W2 Contract
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD .
Role Overview:
The Lead Machine Learning Engineer will be responsible for designing and owning the end-to-end machine learning architecture and recommendation engine framework. This role will lead the development of scalable ML solutions, guide technical direction, and drive the transition of models from experimentation to production.
Key Responsibilities:
Design and implement machine learning system architecture and recommendation engine solutions.
Lead model development, deployment, and productionization efforts.
Collaborate with data scientists, engineers, and business stakeholders to define technical solutions.
Establish ML engineering best practices, model governance, and deployment standards.
Provide technical leadership to a small delivery team.
Optimize model performance, scalability, and reliability.
Advanced Python development for machine learning (Pandas, Scikit-learn).
Experience building and deploying ML models from prototype to production.
Strong expertise in SQL and large-scale data processing.
Experience with cloud-based ML platforms (Azure Machine Learning preferred).
Machine learning model development using XGBoost, LightGBM, or PyTorch.
Key Responsibilities:
Design and implement machine learning system architecture and recommendation engine solutions.
Lead model development, deployment, and productionization efforts.
Collaborate with data scientists, engineers, and business stakeholders to define technical solutions.
Establish ML engineering best practices, model governance, and deployment standards.
Provide technical leadership to a small delivery team.
Optimize model performance, scalability, and reliability.
Technology Stack:
Python
SQL
Snowflake
Azure Machine Learning
GitHub
Docker
XGBoost/LightGBM/PyTorch
Preferred Qualifications:
Experience in utilities or other regulated industries.
Background in optimization and operations research.
Experience leading small technical teams.
Equal Opportunity Employer : We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
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