TATA Consultancy Services Limited
TATA Consultancy Services Limited

Machine Learning Engineer

Pittsburgh, PA, US • Posted 2 hours ago • Updated 2 hours ago
Full Time
No Travel Required
On-site
$100,000 - $120,000/yr
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Job Details

Skills

  • machine learning
  • artificial intelligence

Summary

Skills and Qualifications:
  • Strong hands-on experience in Machine Learning, Artificial Intelligence, and Generative AI development.
  • Proven experience implementing AI/ML solutions in production environments.
  • Hands-on experience working with Large Language Models (LLMs) and Generative AI applications.
  • Experience developing agentic AI solutions and multi-step AI workflows.
  • Strong programming skills in Python, including development of APIs, services, and ML/AI pipelines.
Experience with LLM application patterns such as:
  • Retrieval-Augmented Generation (RAG)
  • Prompt engineering
  • Tool/function calling
  • AI agents
  • Model orchestration
  • Embeddings and vector search
  • LLM evaluation and monitoring
  • Exposure to frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, Hugging Face, or similar.
  • Experience working with REST APIs, microservices, data pipelines, and enterprise integration patterns.
  • Understanding of MLOps/LLMOps, CI/CD pipelines, automated testing, version control, deployment, and model monitoring.
  • Experience with Git, Docker, Kubernetes, Jenkins, GitHub Actions, Azure DevOps, or comparable SDLC technologies.
  • Knowledge of cloud-based AI/ML platforms such as Microsoft Azure/Azure AI, AWS/SageMaker/Bedrock, or Google Cloud/Vertex AI.
  • Experience designing AI/ML solutions within model governance, model risk management, security, privacy, and regulatory frameworks.
  • Strong analytical and troubleshooting skills for supporting models and AI applications in production.
  • Strong communication and stakeholder-management skills, with the ability to work directly with internal clients to collect requirements and translate them into technical solutions.
  • Experience supporting release planning, implementation, production deployments, and post-release activities.
Roles & Responsibilities:
  • Design, develop, orchestrate, and implement production-grade Machine Learning and Generative AI solutions.
  • Build applications and services leveraging LLMs, Generative AI, Retrieval-Augmented Generation (RAG), and agentic AI frameworks.
  • Develop and integrate AI agents and workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent technologies.
  • Evaluate and integrate foundation models and enterprise AI platforms based on business, security, performance, and governance requirements.
  • Implement SDLC tooling and engineering harnesses to improve developer productivity, testing, deployment consistency, and overall team efficiency.
  • Partner with internal clients and business stakeholders to elicit, analyze, and translate requirements into technical designs and implementation plans.
  • Communicate technical requirements, solution designs, dependencies, and delivery expectations across engineering and business teams.
  • Develop model pipelines covering data preparation, model integration, orchestration, testing, evaluation, deployment, monitoring, and ongoing support.
  • Design solutions with model governance, responsible AI, risk management, security, auditability, and regulatory compliance incorporated throughout the development lifecycle.
  • Support AI/ML models and services deployed within production applications, including troubleshooting, performance monitoring, and continuous improvement.
  • Establish appropriate LL M evaluation and monitoring mechanisms, including model quality, hallucination risk, latency, reliability, and operational performance.
  • Participate in release planning, release coordination, deployment activities, and hands-on production support during release windows.
  • Collaborate with engineering, architecture, infrastructure, security, data, risk, and governance teams to ensure solutions meet enterprise standards.
  • Maintain technical documentation covering solution architecture, model behavior, dependencies, deployment procedures, testing, and operational support.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91172467
  • Position Id: 9141266
  • Posted 2 hours ago

Company Info

About TATA Consultancy Services Limited

Tata Consultancy Services (TCS) is the technology partner of choice for industry leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence, and customer service.

It has set an aspiration to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence. Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large.

With a highly skilled workforce spread across 55 countries and 202 service delivery centers across the world, the company has been recognized as a top employer in six continents. With the ability to rapidly apply and scale new technologies, the company has built long term partnerships with its clients – helping them emerge as perpetually adaptive enterprises.

Many of these relationships have endured into decades and navigated every technology cycle, from mainframes in the 1970s to artificial intelligence today.

TCS sponsors 14 of the world’s most prestigious marathons and endurance events, including the TCS New York City Marathon, TCS London Marathon and TCS Sydney Marathon with a focus on promoting health, sustainability, and community empowerment.

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Francis Antony

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