Lead AIML Engineer / Associate Principal - ML Ops
Tiger Analytics
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Keywords
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.
- 8+ years of experience with at least 5+ 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
- Should have hands-on experience in designing, developing, and deploying machine learning models while working across both ML and software engineering domains.
- Should possess strong programming and model development skills, along with the
- ability to translate business problems into machine learning solutions.
- CI/CD pipeline creation is good to have
- Excellent written and verbal communication skills
About The Company
Tiger Analytics
Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. In India, our offices are located in Chennai, Hyderabad and Bangalore.
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