Role: Lead Data & ML Engineer
Location: New York NY(Onsite)
Can do Only W2 No C2C
Job Description:
Experience: 12 Years
- Are you passionate about building scalable data pipelines working with cutting-edge ML technologies and leading high-impact engineering teams
- Were looking for a Lead Data & ML Engineer to join a dynamic team driving innovation in data engineering and machine learning.
What Youll Do:
- Design and develop robust ETL pipelines and data integrations across multiple platforms.
- Build and optimize data engineering pipelines using Spark Databricks and Snowflake.
- Collaborate with Quantitative Strategists & Modelers to develop and enhance ML/statistical models.
- Re-engineer risk models using modern frameworks like PyTorch for improved performance.
- Lead cloud transformation initiatives and drive end-to-end ML lifecycle (design deployment).
- Mentor junior engineers and provide technical leadership.
Required Skills:
- Strong expertise in Python Spark PySpark PyTorch Java C.
- Hands-on experience with Databricks Snowflake MLflow.
- Deep understanding of ETL Data Warehousing and Database Systems (DB2 Teradata SQL Server Hive).
- Strong SQL & database programming (stored procedures triggers performance tuning).
- Experience with Unix/Linux scripting (Shell/Perl).
- Solid foundation in Machine Learning & Statistical Modeling.
Nice to Have:
- Financial services / risk modeling experience.
- Informatica ETL.
- Cloud platforms (Azure preferred).
- Scala / AngularJS / KDB exposure.
Why Join Us
- Work on cutting-edge ML & cloud technologies.
- Be a key driver in enterprise data transformation.
- Lead impactful initiatives and shape engineering strategy.
- Collaborate with top-tier talent in a fast-paced environment.
Best Regards:
Peerbhi SK
Phone: 1-
Email:
Role: Lead Data & ML Engineer Location: New York NY(Onsite) Can do Only W2 No C2C Job Description: Experience: 12 Years Are you passionate about building scalable data pipelines working with cutting-edge ML technologies and leading high-impact engineering teams Were looking for a Lead Data & ML E...
Role: Lead Data & ML Engineer
Location: New York NY(Onsite)
Can do Only W2 No C2C
Job Description:
Experience: 12 Years
- Are you passionate about building scalable data pipelines working with cutting-edge ML technologies and leading high-impact engineering teams
- Were looking for a Lead Data & ML Engineer to join a dynamic team driving innovation in data engineering and machine learning.
What Youll Do:
- Design and develop robust ETL pipelines and data integrations across multiple platforms.
- Build and optimize data engineering pipelines using Spark Databricks and Snowflake.
- Collaborate with Quantitative Strategists & Modelers to develop and enhance ML/statistical models.
- Re-engineer risk models using modern frameworks like PyTorch for improved performance.
- Lead cloud transformation initiatives and drive end-to-end ML lifecycle (design deployment).
- Mentor junior engineers and provide technical leadership.
Required Skills:
- Strong expertise in Python Spark PySpark PyTorch Java C.
- Hands-on experience with Databricks Snowflake MLflow.
- Deep understanding of ETL Data Warehousing and Database Systems (DB2 Teradata SQL Server Hive).
- Strong SQL & database programming (stored procedures triggers performance tuning).
- Experience with Unix/Linux scripting (Shell/Perl).
- Solid foundation in Machine Learning & Statistical Modeling.
Nice to Have:
- Financial services / risk modeling experience.
- Informatica ETL.
- Cloud platforms (Azure preferred).
- Scala / AngularJS / KDB exposure.
Why Join Us
- Work on cutting-edge ML & cloud technologies.
- Be a key driver in enterprise data transformation.
- Lead impactful initiatives and shape engineering strategy.
- Collaborate with top-tier talent in a fast-paced environment.
Best Regards:
Peerbhi SK
Phone: 1-
Email:
View more
View less