À propos
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 cutting edge 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 context awareness 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 end-to-end on GenAI solutions from data preprocessing and model development to deployment and monitoring
Collaborate with cross functional teams to ensure seamless integration of AI solutions into existing workflows
Stay up to date 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 non-technical audiences
Qualifications
Bachelor’s in computer sciences or related field
Master’s degree or PhD in Data Science, Computer Science, or a related field (preferred)
Proven experience 68 years in developing and deploying AIML solutions in real-world settings
Minimum 2 years of experience specifically with Generative AI solutions
Proven experience in developing and deploying Generative AI solutions in real world settings
Deep understanding of Retrieval Augmented Generation (RAG)
Large Language Models (LLMs) and their applications
Transformer models eg BERT, GPT
Agentic AI understanding
Prompt engineering and finetuning techniques
Vector databases and similarity search
Lang Chain, LlamaIndex or similar frameworks for building GenAI applications
Model evaluation metrics for GenAI
MLOps principles and practices for deploying and managing AI models
Strong programming skills in Python, including experience with relevant libraries and frameworks eg TensorFlow, PyTorch, scikit-learn, Pandas, NumPy
Excellent communication, collaboration and problem-solving skills
Hands‑on experience with end-to-end AI project development and deployment
Preferred Qualifications
Formal coursework or certifications in Data Science
Experience in the financial services industry
Familiarity with cloud computing platforms eg AWS, Azure, GCP
Contributions to open-source AI projects
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
Paid paternity and maternity leave
Vacation Time, Sick Leave, Paid Holidays
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, such as an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
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.
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Compétences linguistiques
- English
Avis aux utilisateurs
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