Specialist - Data Sciences

Role Description

ML Engineer

Location US GA preferred but not limited

Job Description

Leverage distributed training systems to build scalable machine learning pipelines for model training and deployments in ITOT Products space

Design and implement solutions to optimize distributed training execution in terms of model hyperparameter optimization model traininginference latency and systemlevel bottlenecks

Research and impalement state of the art LLM models for different business use cases including finetuning and serving the LLMs

Ensure ML Model performance uptime and scale maintaining high standards of code quality and thoughtful design quality and monitoring

Optimize integration between popular machine learning libraries and cloud ML and data processing frameworks

Build Deep Learning models and algorithms with optimal parallelism and performance on CPUs GPUs

Your background and who you are

MS or PhD in Computer Science Software Engineering Electrical Engineering or related fields

3 years of industry experience with Python in a programming intensive role

2 years of experience with one or more of the following machine learning topics classification clustering optimization recommendation system graph mining deep learning

3 years of industry experience with distributed computing frameworks such as Spark Kubernetes ecosystem etc

3 years of industry experience with popular ml frameworks such as Spark MLlib Keras Tensorflow PyTorch HuggingFace Transformers and libraries like scikitlearn spacy gensim CoreNLP etc

3 years of industry experience with major cloud computing services

Background or experience in building and scaling Generative AI Applications specifically around frameworks like Langchain PGVector Pinecone AzureML

Prior experience in building data products and established a track record of innovation would be a big plus

An effective communicator you shall be an ambassador for Machine Learning engineering at external forums and have the ability to explain technical concepts to a nontechnical audience

Preferred Qualifications

Proficient PythonPySpark coding experience

Proficient in containerization services

Proficient in Azure ML to deploy the models

Experience with working in CICD framework

Motivation to make downstream modelers work smoother

Background or experience in building and scaling Generative AI Applications specifically around frameworks like Langchain PGVector Pinecone AzureML

Industry experience with popular ml frameworks such as Spark MLlib Keras Tensorflow PyTorch HuggingFace Transformers and libraries like scikitlearn spacy gensim CoreNLP etc

Experience in designing scalable services controller architecture using FastAPI

Skills

Machine Learning-Python

Other Details

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.

Benefits

Compensation range: $ 60.00 to 75.00 per hour