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Senior / Lead - ML Ops
3 months ago
Job Description
Senior / Lead - ML Ops Chennai / Bangalore / Hyderabad (Hybrid) Tiger Analytics is a global leader in AI and analytics, helping Fortune companies solve their toughest challenges. 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. Come work with us to provide certainty to shape a better tomorrow. We are a Great Place to Work-CertifiedTM (-24) and have been consistently ranked among the 'Best' and 'Fastest Growing' analytics firms lists by Inc., Financial Times, Economic Times, Analytics India Magazine, etc. no->About the role We are looking for a Senior / Lead ML Engineer who will work on a broad range of cutting-edge data analytics and machine learning problems across a variety of industries.More specifically, you will Engage with clients to understand their business context Lead a team of data scientists and engineers to embed AI and analytics into the business decision processes. Perform a role that involves a combination of hands-on contribution and customer engagement. Switch between roles of an Individual Contributor, team member and solution architect as demanded by each project Desired Skills and Experience 6+ years exp of which 3+ years of relevant data science experience and at least 3 years of software development experience. Experience in devising creative analytical approaches to solve business problems Developing and enhancing algorithms and models to solve business problem Maintaining all models along with development and updating of code and process documentation Designing a solution approach, leading a team to deploy and maintain it in production. Proficient in Structured programming language is a must - such as Python, C/C++, Java is mandatory. Cloud concepts and significant hands-on experience with at least one cloud provider. Should be knowledgeable about the pros and cons of the various services and comfortable discussing the tradeoffs with stakeholders. Strong SQL skills. Good knowledge of Data science approaches, machine learning algorithms and statistical methods. ETL and Data Engineering pipelines using Spark/PySpark. Workflow orchestration tools like Airflow. Excellent written and verbal communication skills B. Tech from Tier-1 college / M.S or M. Tech is preferred We believe in equal opportunities for all and invite you to come join us as we build the world's best AI and advanced analytics team. Our compensation packages are competitive and among the best in the industry. Your designation will be commensurate with expertise and experience.
