Senior Data Scientist

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

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.

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.