Machine Learning Engineer / Data Scientist (Databricks & Snowflake) in NY

Role Overview

We are seeking a highly motivated Machine Learning Engineer / Data Scientist with hands-on experience in Databricks, Snowflake, MLflow, and Unity Catalog, along with strong Python expertise.

This role bridges advanced analytics and production ML engineering. The ideal candidate can build robust models, operationalize them using modern MLOps practices, and design scalable data pipelines within cloud-native environments.

Key Responsibilities

🔹 Machine Learning & Advanced Analytics

• Develop, train, validate, and deploy machine learning models for predictive and analytical use cases
• Perform exploratory data analysis (EDA) and feature engineering
• Apply statistical modeling, supervised/unsupervised learning, and optimization techniques
• Evaluate models using robust validation frameworks
• Communicate insights clearly to technical and business stakeholders

🔹 ML Engineering & MLOps

• Productionize ML models using MLflow for experiment tracking, model registry, and lifecycle management
• Implement CI/CD pipelines for ML workflows
• Monitor model performance and manage version control
• Ensure reproducibility and governance of ML assets
• Manage feature pipelines and model retraining strategies

🔹 Databricks & Distributed Processing

• Build scalable data pipelines using Databricks (Spark)
• Optimize distributed workloads for performance and cost efficiency
• Implement notebook-based and production-grade job workflows
• Leverage Unity Catalog for governance, lineage, and secure data/model access control

🔹 Data Warehousing & Snowflake

• Design and optimize data models in Snowflake
• Write advanced SQL queries for transformation and analytics
• Integrate Snowflake with Databricks for seamless data workflows
• Support ELT/ETL design and performance tuning

Required Qualifications

Technical Skills

• Strong programming skills in Python (pandas, NumPy, scikit-learn, etc.)
• Hands-on experience with Databricks (Spark, notebooks, jobs)
• Experience with Snowflake
• Working knowledge of MLflow
• Experience implementing governance using Unity Catalog
• Strong SQL proficiency
• Understanding of distributed computing concepts

Preferred Qualifications

• Experience deploying ML models in cloud environments (AWS/Azure/Google Cloud Platform)
• Familiarity with REST APIs and model serving
• Experience with deep learning frameworks (PyTorch/TensorFlow)
• Exposure to data quality frameworks
• Knowledge of feature stores and real-time inference pipelines

Soft Skills

• Strong problem-solving and analytical skills
• Ability to translate business requirements into technical solutions
• Strong communication and documentation capabilities
• Ability to work in cross-functional agile teams

About FSTONE 
Established in 2004, FSTONE is one of the largest and fastest-growing staffing firms in the U.S. The growth of our company is a direct result of our global client service delivery model powered by our state-of-the-art A.I. proprietary talent acquisition platform, certified processes, and passionate client teams.

FSTONE, a certified Minority Business Enterprise (MBE), has firmly established itself as a dominant player in the U.S. staffing and workforce solutions sector, distinguished by its rapid growth and extensive service range. Catering to over 50 prominent clients across diverse industries such as Pharmaceutical & Life Sciences, Banking and Financial Services, Technology, and Healthcare, we offer a comprehensive array of services, including Contingent, Permanent, Statement of Work (SOW), and Payrolling staffing services. Our “partner for life” ethos drives our approach, blending passionate personnel, proven processes, and cutting-edge technologies to deliver unparalleled service and value to our clients.