AI Engineer 4A

Genpact Ltd.

Pune District

Ibrido

INR 1.100.000 - 1.600.000

Tempo pieno

23 ore fa
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Descrizione del lavoro

Genpact in Pune seeks an innovative Data Scientist with expertise in AI/ML, Generative AI, and Large Language Models. You will design and deploy ML solutions that address real business needs, working with large datasets and modern libraries.

The role emphasizes practical deployment, NLP techniques, cloud platforms (Azure, AWS, GCP), and collaboration across teams. The position offers growth in a fast-moving, innovation-driven environment at Genpact.

Competenze

  • Bachelor’s in CS, Data Science, AI, or related field.
  • Strong Python and SQL skills.
  • Hands-on ML, AI, and data science project experience.
  • Understanding of generative AI concepts and deployment.
  • Proficiency with TensorFlow, PyTorch, or Keras.
  • Experience building LLM applications is a plus.
  • Exposure to cloud AI services (Azure/AWS/GCP).
  • Familiarity with MLOps for model lifecycle management.
  • Strong problem-solving and cross-functional communication.

Mansioni

  • Design, develop, and deploy ML and generative AI models.
  • Work with large-scale datasets using Python, SQL, and standard libraries (Scikit-learn, TensorFlow, PyTorch, Keras, AutoML).
  • Develop and fine-tune LLM-based solutions for real-world applications.
  • Ensure data quality, integrity, and compliance with best practices.
  • Explore NLP techniques for text understanding, summarization, and sentiment analysis.
  • Implement solutions on cloud platforms (Azure, AWS, GCP) ensuring scalability and efficiency.
  • Research and experiment with GenAI, Agentic AI models, and advanced frameworks to drive innovation.

Conoscenze

Python
SQL
AI/ML concepts
NLP basics
English proficiency (B2+)

Formazione

Associates/ Diploma - Statistics
Bachelor - Artificial Intelligence
Bachelor - Computer Science
Bachelor - Mathematics
Bachelor - Software Engineering
Certification in Python and Machine Learning
Deep Learning Foundations and Applications - IIT Kharagpur
Deep Learning Specialization - Coursera
Generative AI & Large Language Models - Databricks Academy
IBM Machine Learning Specialization - IBM

Strumenti

TensorFlow
PyTorch
Keras
Scikit-learn
AutoML

Descrizione del lavoro

AI Engineer Ready to turn bold ideas into real-world impact? At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting‑edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.

Job Description

We are seeking an innovative and highly skilled Data Scientist with expertise in AI/ML, Generative AI, and Large Language Models (LLMs). The role involves building advanced machine learning models, leveraging generative AI frameworks, and applying data science techniques to solve complex business problems. The ideal candidate will bring strong programming skills, hands‑on experience with AI/ML libraries, and exposure to cloud‑based AI services.

Responsibilities
  • Design, develop, and deploy machine learning and generative AI models to address business needs.
  • Work with large‑scale datasets using Python, SQL, and industry-standard libraries (Scikit‑learn, TensorFlow, PyTorch, Keras, AutoML, etc.).
  • Develop and fine‑tune LLM‑based solutions (GPT‑3, GPT‑4, or similar models) for real‑world applications.
  • Ensure data quality, integrity, and compliance with best practices, frameworks, and coding standards.
  • Explore and apply natural language processing (NLP) techniques for text understanding, summarization, and sentiment analysis.
  • Implement solutions on cloud platforms (Azure, AWS, or GCP) ensuring scalability and efficiency.
  • Research and experiment with GenAI, Agentic AI models, and advanced frameworks to drive innovation.
Minimum Qualifications
  • Bachelor’s in Computer Science, Data Science, Artificial Intelligence, or related field.
  • Strong programming skills in Python and proficiency in SQL.
  • Hands‑on experience in machine learning, AI, and data science projects.
  • Understanding of generative AI concepts, frameworks, and model deployment.
  • Proficiency with deep learning libraries such as TensorFlow, PyTorch, or Keras.
Preferred Qualifications/ Skills
  • Prior experience in building LLM applications.
  • Familiarity with NLP techniques and tasks (NER, sentiment analysis, summarization, text classification).
  • Exposure to any cloud AI services (Azure AI, AWS SageMaker, GCP Vertex AI).
  • Familiarity with MLOps practices for model lifecycle management.
  • Strong problem‑solving, communication, and collaboration skills in multidisciplinary environments.
Qualifications
  • Associates/ Diploma - Statistics
  • Bachelors - Artificial Intelligence
  • Bachelors - Computer Science
  • Bachelors - Mathematics
  • Bachelors - Software Engineering Certifications
  • Certification in Python and Machine Learning - Decodr Technology
  • Deep Learning Foundations and Applications - Indian Institute of Technology, Kharagpur
  • Deep Learning Specialization - Coursera
  • Generative AI & Large Language Models - Databricks Academy
  • IBM Machine Learning Specialization - IBM
Required Skills
  • Python (Programming Language)
  • Python Automation
  • Python Numpy Language
  • English (Required) Language Proficiency - Upper Intermediate - B2
Additional Job Information

Additional Job Location - Job Type Regular Master Skill List - AI Remote Type - Hybrid Work Shift - Day Job (India)

Why join Genpact?
  • Lead AI-powered transformation – Drive innovation and solve real‑world business challenges that matter
  • Make an impact – Help global enterprises solve business challenges that matter
  • Accelerate your career – Gain hands‑on experience, mentorship, and world‑class learning opportunities to stay ahead
  • Work with the best – Join 140,000+ bold thinkers and problem‑solvers who push boundaries every day
  • Thrive in a values‑driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws.

Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.

We're an agentic and advanced technology solutions company that runs mission‑critical operations for the world’s leading companies, while building and deploying the agentic products and technology that power those operations. Our teams bring deep expertise to shape what AI can do and change how businesses actually run. Join us to build the career you want — and be on it because you’ll be in it. At Genpact, your expertise grows because you’re inside the work. Whether you build AI systems or bring deep knowledge of how businesses run, you’ll work on real challenges that change how the world’s leading companies operate. There’s a lot to learn here, and room to grow.

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