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About the role
Job 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
Mandatory Skills : GenAI - LLMOps, Python Good to Have Skills : RPA - Microsoft Power Automate
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree Canada (“LTIMC”): Benefits and Perks:
Comprehensive Medical Plan Covering Medical, Dental, Vision Health Care Spending Account Short Term and Long-Term Disability Coverage Life Insurance Annual vacation and other Paid Leaves Maternity Leave Top Up Pay
The range displayed on each job posting reflects the total compensation range for the position across all Canada 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.
Accessibility and Reasonable Accommodation : LTIMindtree has an accommodation process in place and provides accommodations for applicants with disabilities. If you require a specific accommodation because of a disability or a medical need, please write to us at so that arrangements can be made for the appropriate accommodations to be in place.
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