Position:Senior /  Lead ML Engineer 
Job ID:		41113

	
Responsibilities:
· Lead ML engineering at the intersection of data science, data engineering, and MLOps.
· Build scalable pipelines, production ML models, and data products with real business impact.
· Work closely with product and business teams; mentor junior engineers and data scientists.
· Strong focus on unstructured data, LLMs, NLP, and modern ML workflows.
· Design and implement scalable ELT/ETL pipelines for analytics and ML systems.
· Build, validate, and deploy production ML models with CI/CD, versioning, retraining, and drift monitoring.
· Apply MLOps best practices for packaging, deployment, serving, and monitoring.
· Develop and maintain data models, feature stores, and governance standards.
· Deliver APIs, dashboards, notebooks, and apps that turn insights into business value.
· Own performance, reliability, and cost-efficiency of ML/data systems.
· Maintain observability: logging, alerting, lineage, SLOs, documentation.
· Partner with PMs and stakeholders to define requirements and drive adoption.
· Mentor data engineers/scientists and ensure clean handoffs to downstream teams.

Qualifications:


·  5+ years in ML engineering, data science, or data engineering.
·  Strong Python + SQL 
·  Experience with Databricks / Snowflake / BigQuery or similar cloud warehouses.
·  Hands-on with dbt, data modeling, and transformation frameworks.
·  Skilled with scikit-learn, PyTorch, Transformers, and fine-tuning workflows.
·  Proven MLOps experience: CI/CD, Kubernetes/serverless, MLflow, Ray Serve, etc.
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-->SALARY:  200-240k 
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