Join LTIMindtree as a Machine Learning Engineer

About LTIMindtree:

LTIMindtree is a leading global technology consulting and digital solutions provider that helps businesses across various industries rethink their models, accelerate innovation, and achieve growth by leveraging digital technologies. We are digital transformation partners to over 700 enterprises globally, offering domain and technology expertise to drive superior competitive differentiation, customer experiences, and business results. Our team is composed of nearly 90,000 skilled professionals in over 30 countries, combining the powerful capabilities of Larsen & Toubro Infotech and Mindtree to address complex business challenges and deliver transformation at scale. Learn more about us at .

Job Title:

Machine Learning Engineer

Work Location:

Atlanta, GA

Job Description:

As a Machine Learning Engineer, you will:

• Leverage distributed training systems to construct scalable ML pipelines for model training and deployment in the ITOT Products space.
• Design and implement solutions to optimize distributed training execution, focusing on model hyperparameter optimization, training/inference latency, and system-level bottlenecks.
• Research and implement state-of-the-art LLM models for various business cases, including fine-tuning and serving these models.
• Ensure ML model performance, uptime, and scalability while maintaining high standards of code and design quality.
• Optimize integration between widely used ML libraries and cloud ML and data processing frameworks.
• Develop Deep Learning models and algorithms with optimal parallelism and performance on CPUs and GPUs.

Your Background:

We are looking for candidates with:

• 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 key ML areas such as classification, clustering, optimization, recommendation systems, graph mining, and deep learning.
• 3+ years of experience with distributed computing frameworks like Spark and Kubernetes.
• 3+ years of experience with popular ML frameworks including Spark MLlib, Keras, TensorFlow, PyTorch, and libraries such as scikit-learn, spaCy, gensim, and CoreNLP.
• 3+ years of experience with major cloud computing services.
• Hands-on experience in building and scaling Generative AI Applications using frameworks like Langchain, PGVector, Pinecone, and Azure ML.
• A proven track record of innovation in building data products.
• Strong communication skills, capable of representing machine learning engineering in external forums and explaining technical concepts to non-technical audiences.

Preferred Qualifications:

Ideal candidates will possess:

• Proficient Python/PySpark coding experience.
• Proficiency in containerization services.
• Experience with deploying models in Azure ML.
• Experience working in a CI/CD framework.
• Motivation to enhance downstream modeling workflows.
• Background in scalable services controller architecture using FastAPI.

Benefits and Perks:

Our benefits and perks include:

• Comprehensive medical plan covering medical, dental, and vision care.
• Short-term and long-term disability coverage.
• 401(k) plan with company match.
• Life insurance.
• Vacation time, sick leave, and paid holidays.
• Paid paternity and maternity leave.

Note: Benefits and perks may vary based on the nature of your employment with LTIMindtree.

The listed salary range reflects the minimum and maximum compensation targets for this position across all US locations. Actual remuneration will depend on factors such as location, job level, relevant skills, experience, and education or training. Other forms of compensation may include performance-based bonuses, sales incentives, and additional bonuses.

Disclaimer: The compensation and benefits information provided here is accurate as of the date of this posting.