Job
Description
JOB DESCRIPTION Senior MLE / Architect MLE (ML Ops) Chennai / Bangalore / Hyderabad (Hybrid) Who we are 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. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the Best and Fastest Growing analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. About the role Curious about the role? What your typical day would look like? 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 What do we expect? 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.
