New York, NY, United States (Hybrid) Contract (5 months 1 day) Published 4 hours ago Snowflake Machine Learning Frameworks Performance & Scalability mlops performance optimization devops cross - functional collaboration sql database 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.
Required Skills (Minimum 3):
- 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.
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.
The pay range that the employer in good faith reasonably expects to pay for this position is $50.85/hour - $79.46/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
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