Data Scientist

Design develop and deploy MLAI models for real time and batch use cases including model experimentation training and evaluation

• Build and optimize inference pipelines and integrate ML capabilities into applications services in partnership with product and engineering teams

• Develop and maintain data pipelines for model training validation and continuous improvement retraining continual learning

• Monitor model performance in production quality drift bias hallucinations where applicable and drive improvements in reliability and robustness

• Establish engineering best practices for ML delivery reproducibility versioning testing documentation and benchmarking experimentation

• Contribute to solution architecture decisions for ML systems data compute deployment patterns and operational controls

Do you have experience in Stakeholder relationship building?, * Mentor junior engineers and lead technical reviews for ML code pipelines and deployment implementations 7 -12 years of experience in software engineering data engineering ML engineering with significant hands on time delivering ML solutions

• Strong proficiency in Python and MLDL libraries such as PyTorch TensorFlow and familiarity with modern model ecosystems eg Hugging Face

• Solid understanding of ML fundamentals feature engineering model selection evaluation metrics overfitting cross validation and deep learning concepts neural nets transformers where relevant

• Experience with model deployment approaches tools eg model serving ONNX Torch Serve Triton or equivalent

• Strong engineering practices clean code debugging performance optimization API integration and collaboration in cross functional teams

• Experience with MLOps GenAI Ops tooling such as ML flow containerization Docker and cloud platforms AWS, Azure, GCP for scalable ML delivery Experience with LLMs Generative AI fine tuning prompt engineering evaluation and production patterns

• Familiarity with RAG and vector databases plus responsible ethical AI practices and governance

• Experience building automated benchmarking AB testing and monitoring frameworks for ML systems

• Contributions to open source publications patents or strong internal innovation track record Strong ownership and ability to lead quality outcomes end-to-end

• Clear communication and stakeholder management

• Mentoring mindset and collaboration across QA Dev and DevOps teams, Mandatory Skills : Deep Learning - AIOPS, GenAI - LLMOps, Machine Learning - AIOPS, MLOPS, Python - Data Science

(part of Larsen and Toubro (L&T)) 3.73.7 out of 5 stars Tampa, FL $86,031 - $113,900 a year, Pulled from the full job description

• Paid parental leave
• Parental leave
• Health insurance
• 401(k) matching
• Vision insurance
• Dental insurance
• Life insurance, Other details

Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ("LTIM"):

Benefits and Perks:

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation., Compensation range: $86,031.00 to $113,900.00 per year

LTM is an AI-centric global technology services company and the Business Creativity partner to the world's largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI - enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert