What are the responsibilities and job description for the Data Scientist with MLOps - W2 position at ASCII Group LLC?
The following requirement is open with our client.
Client : TCS
Title : Data Science Operations Lead
Location : Cambridge, VT
Duration : 12 Months
Rate : $53/hr on W2 / $60/hr on C2C
Relevant Experience (in Yrs.) : 10
Detailed Job Description:
10 years of progressive experience in data science, machine learning engineering, or related fields, with at least 3–4 years in a leadership/lead role.
· Proven track record of delivering scalable, production-grade ML/AI solutions in large, multinational organizations.
· Experience managing a team of 6 resources with demonstrated ability to coordinate across onshore/offshore delivery models.
· Strong experience mentoring technical teams and driving accountability across distributed locations.
· AWS Cloud & Data Lake (Expert): Deep hands-on experience with AWS services — SageMaker, S3, EMR, Glue, Lambda, Redshift, Athena, Step Functions, Lake Formation, and IAM/security best practices. Proven experience designing and managing AWS Data Lake architectures.
· Databricks (Expert): Proficiency in Databricks for large-scale data engineering, ML model development, MLflow for experiment tracking, and Unity Catalog for governance.
· Big Data Processing (Expert): Strong experience with Apache Spark (PySpark/Scala), distributed computing, and processing large-scale structured/unstructured datasets.
· Machine Learning: Solid expertise in ML algorithms, feature engineering, model evaluation, and frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
· MLOps: Proven experience with end-to-end ML lifecycle — model deployment, monitoring, retraining, CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes/ECS).
· Python: Expert-level proficiency for end-to-end data science and ML workflows.
Must Have Skill
- Data Science
- Databricks
- PySpark
- MLOps
- Python
Salary : $64 - $65