Senior Specialist - Data Sciences
LTM, Los Angeles, CA, United States
Responsibilities
3-5 years of professional experience in an AI or Machine Learning engineering role
Handson experience with LLM frameworks and tools like LangChain LlamaIndex etc
Expertise in Python and its data science ecosystem eg Pandas NumPy Scikitlearn
Proven experience with one or more deep learning frameworks such as TensorFlow or PyTorch
Handson experience with a major cloud platform AWS Azure or GCP for training and deploying machine learning models GCP Preferred
Experience with generative AI and Large Language Models LLMs
Proficiency in data analysis statistical modeling and machine learning theory
Experience with containerization technologies eg Docker and deploying models as APIs
Excellent communication skills and a proven ability to collaborate effectively in a team environment
Preferred Qualifications
Experience deploying models using API frameworks such as FastAPI or Flask
Knowledge of MLOps principles and tools for CICD model monitoring and lifecycle management
A portfolio of projects or contributions to opensource AIML libraries
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.
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3-5 years of professional experience in an AI or Machine Learning engineering role
Handson experience with LLM frameworks and tools like LangChain LlamaIndex etc
Expertise in Python and its data science ecosystem eg Pandas NumPy Scikitlearn
Proven experience with one or more deep learning frameworks such as TensorFlow or PyTorch
Handson experience with a major cloud platform AWS Azure or GCP for training and deploying machine learning models GCP Preferred
Experience with generative AI and Large Language Models LLMs
Proficiency in data analysis statistical modeling and machine learning theory
Experience with containerization technologies eg Docker and deploying models as APIs
Excellent communication skills and a proven ability to collaborate effectively in a team environment
Preferred Qualifications
Experience deploying models using API frameworks such as FastAPI or Flask
Knowledge of MLOps principles and tools for CICD model monitoring and lifecycle management
A portfolio of projects or contributions to opensource AIML libraries
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.
#J-18808-Ljbffr