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Senior Data Scientist
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Role description
This is an exciting opportunity to join a team focused on revolutionizing financial data interaction through advanced AI We are seeking a highly skilled and motivated Senior Data Scientist specializing in Generative AI to contribute to the development of AIML projects within the Finance domain
Responsibilities
Design develop and implement cuttingedge Generative AI solutions for various AIML projects in Finance building upon existing foundations
Lead the integration of Retrieval Augmented Generation RAG techniques to enhance the accuracy and contextawareness of our AI systems
Develop and refine Large Language Model LLM based solutions leveraging expertise in prompt engineering and finetuning
Utilize table transformers and other advanced Python packages for extracting and processing complex financial data
Work endtoend on GenAI solutions from data preprocessing and model development to deployment and monitoring
Collaborate with crossfunctional teams to ensure seamless integration of AI solutions into existing workflows
Stay uptodate with the latest advancements in GenAI and contribute to our ongoing AI innovation efforts
Communicate technical concepts and findings clearly and effectively to both technical and nontechnical audiences
Qualifications
Bachelors in Computer Sciences or related field
Masters degree or PhD in Data Science Computer Science or a related field is preferred
Proven experience 68 years in developing and deploying AIML solutions in realworld settings
Minimum 2 years of experience specifically with Generative AI solutions
Proven experience in developing and deploying Generative AI solutions in realworld settings
Deep understanding of
oRetrieval Augmented Generation RAG
oLarge Language Models LLMs and their applications
oTransformer models eg BERT GPT
oAgentic AI understanding
oPrompt engineering and finetuning techniques
oVector databases and similarity search
oLangChain LlamaIndex or similar frameworks for building GenAI applications
oModel evaluation metrics for GenAI
oMLOps principles and practices for deploying and managing AI models
Strong programming skills in Python including experience with relevant libraries and frameworks eg TensorFlow PyTorch scikitlearn Pandas NumPy
Excellent communication collaboration and problemsolving skills
Handson experience with endtoend AI project development and deployment
Preferred Qualifications
oFormal coursework or certifications in Data Science
oExperience in the financial services industry
oFamiliarity with cloud computing platforms eg AWS Azure GCP
oContributions to opensource AI projects
What to expect
Opportunity to work on cuttingedge AI projects
Collaborative and innovative work environment
Skills
Mandatory Skills : AI/Generative AI, Python - Data Science, Python Basics
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:
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.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Benefits
Compensation range: $ 86,031.00 to 113,900.00 per year
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About LTM
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/
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