Openings IN Chennai For STAFF Engineer-AI

Founded in 2003, our client is a global digital transformation leader with over 6,000 employees, including 500+ in India, and offices across the US, India (Pune, Bangalore, Chennai), EMEA, and LATAM. They specialize in agile development, cloud modernization, and data-driven platforms. Success stories include a 15 improvement in data processing for a global retailer and a 90% surge in digital engagement for a major bank. With 29% YoY revenue growth and strong financial backing, the company offers high-impact roles in a fast-paced, innovation-led environment. They are on the lookout for a STAFF ENGINEER-AI for Chennai Role : AI/ML Data Scientist Experience : 5 - 10 Years Location : Chennai Work Mode : Hybrid Notice Period : Immediate to 30 Days Mandate Skills: Data Scientist/ AI ML, Python, Machine Learning, Advanced SQL, LLM guardrails Job Description : AI, with Automotive domain having 6-10 years of relevant experience, will lead the design, development, and deployment of advanced AI and machine learning models to solve complex business problems. Extensive expertise in Data Science and AI/ML is required, with a strong focus on Python programming and proficiency in libraries such as Pandas, NumPy, and Scikit-learn. The candidate should have a profound understanding of Machine Learning techniques, including supervised and unsupervised learning algorithms, and experience in model evaluation and hyperparameter tuning. Collaboration with cross-functional teams to gather requirements and translate them into technical specifications for AI solutions is essential. Good to have strong proficiency in Advanced SQL for complex data manipulation and analysis, as well as familiarity with data visualization tools and techniques. A Master of Science in Data Science or Master of Technology in Artificial Intelligence is required, with certifications such as Certified Data Scientist and Google Professional Machine Learning Engineer being advantageous. The ability to work collaboratively within teams, tackle complex data challenges, and communicate findings effectively to stakeholders is crucial. Candidates having a notice period exceeding 30 days are requested not to apply.