Machine Learning-Python

Overview

Remote
Up to $140,000
Full Time

Skills

AI
Machine Learning
Python
Research
Software Engineering
Tensorflow
Transformers
Azure
Computer Science
cloud computing
containerization
distributed computing
Deep Learning
GPUs
recommendation system
scikit - learn
spacy
Keras
Kubernetes
PyTorch
classification
clustering
gensim
scaling

Job Details

About Us:

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree a Larsen & Toubro Group company combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit .

Job Title:

Machine Learning-Python

Work Location

Remote

Job Description:

Leverage distributed training systems to build scalable machine learning pipelines for model training and deployments in IT/OT Products space.

Design and implement solutions to optimize distributed training execution in terms of model hyperparameter optimization, model training/inference latency and system-level 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 CP GPUs.

MS or Ph.D. 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 scikit-learn, 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 of Honeywell s Machine Learning engineering at external forums and have the ability to explain technical concepts to a non-technical audience.

Preferred Qualifications:

Proficient Python/PySpark 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.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ( LTIM ):

Benefits and Perks:

  1. Comprehensive Medical Plan Covering Medical, Dental, Vision
  2. Short Term and Long-Term Disability Coverage
  3. 401(k) Plan with Company match
  4. Life Insurance
  5. Vacation Time, Sick Leave, Paid Holidays
  6. 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.

Safe return to office:

In order to comply with LTIMindtree s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree s applicable processes.

About LTIMindtree