Gen AI Engineer (Senior Data Scientist)
Title
AI/ML Engineer Generative AI
Location
Irving, TX (Hybrid 3 days onsite)
Responsibilities & Qualifications
Strong Data Structures in any language; code comprehension in Python or Java
Ability to perform hands-on coding in real time during interview for a given scenario with the right solution approach
Proficient in data manipulation and cleansing: preprocessing large datasets, handling missing values, feature engineering, ensuring data integrity
Strong NLP and Deep Learning concepts, including transformer architecture understanding
Experience fine-tuning LLMs such as Dolly, Llama2, or similar
Experience developing and implementing cutting-edge generative AI models to solve complex problems
Capability to perform prompt engineering and design appropriate prompts based on functional use cases
Hands-on experience with NLP/AI/ML tools and technologies such as GPT, BERT, or other language models
Experience building GenAI applications
Knowledge of word embedding and usage of vector databases such as Pinecone, Milvus or similar
Strong statistical analysis skills, including hypothesis testing, regression analysis, time-series analysis and clustering techniques
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 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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