Senior ML Engineer

What You'll Do

• Build and maintain scalable data pipelines and ETL processes for AI/ML platforms
• Develop and optimize web services for model inference at scale
• Train, tune, and monitor ML models for production use cases
• Integrate structured and unstructured data sources into unified platforms
• Apply NLP techniques for data enrichment and transformation
• Leverage Generative Al tools to accelerate development workflows
• Implement best practices for data quality, governance, and security
• Collaborate with data scientists and engineers to deliver production-ready solutions

What We're Looking For

• 5-8 years in ML Engineering, Data Engineering, or related roles
• Strong programming skills in Python, SQL, and Java/Scala
• Hands-on experience with data pipeline frameworks (Airflow, Spark, Kafka)
• Experience building web services, preferably for model inference
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Practical experience with NLP and Generative Al tools
• Knowledge of relational/NoSQL databases and data warehousing (MongoDB, Redshift, BigQuery)
• BS/MS in Computer Science, Data Engineering, or related field.

Why This Role?