Senior ML Engineer (ML Ops)
Tiger Analytics
5 - 10 years
Bengaluru, Chennai, Hyderabad
Posted: 23/06/2025
Job Description
- Engage with clients to understand their business context.
- Translate business problems and technical constraints into technical requirements for the desired analytics solution.
- Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes.
- 6+ years of experience with at least 4+ years of relevant MLOps experience
- Proficient in a structured Python
- Proficient in any one of cloud technologies is mandatory (AWS/ Azure/GCP)
- Model deployment experience is mandatory
- Follows good software engineering practices and has an interest in building reliable and robust software
- Good understanding of DS concepts and DS model lifecycle
- Working knowledge of Linux or Unix environments ideally in a cloud environment
- Working knowledge of Spark/ PySpark is desirable
- CI/CD pipeline creation is good to have
- Excellent written and verbal communication skills
About Company
Tiger Analytics is a global leader in data science and artificial intelligence (AI) consulting, specializing in delivering advanced analytics solutions to Fortune 1000 companies. Headquartered in Santa Clara, California, the company operates across North America, Europe, Asia-Pacific, and India. It offers end-to-end services in data engineering, machine learning, AI, and MLOps, helping organizations unlock value from their data to drive business impact. Serving industries such as retail, healthcare, BFSI, manufacturing, and pharma, Tiger Analytics is frequently recognized by Forrester, Gartner, and Analytics India Magazine as a top analytics firm. The company is also Great Place to Work-Certified™, reflecting its strong culture of innovation, collaboration, and excellence.
Services you might be interested in
One-Shot Campaign
Reach out to ideal employees in one shot!
The intelligent campaign for reaching out to the ideal audience to whom you can ask for help (guidance or referral).