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Key skills for this role
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.
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-4, or similar models) for real-world applications.
Ensure data quality, integrity, and compliance with best practices, frameworks, and coding standards.
Collaborate with cross-functional teams (engineering, product, business) to translate requirements into AI-driven solutions.
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.
Mentor junior team members on AI best practices and troubleshooting.
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Minimum Qualifications
Bachelor’s/Master’s degree 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.
Solid 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 or fine-tuning LLM applications.
Familiarity with NLP techniques and tasks (NER, sentiment analysis, summarization, text classification).
Exposure to AutoML frameworks and cloud AI services (Azure AI, AWS SageMaker, GCP Vertex AI).
Experience with MLOps practices for model lifecycle management.
Strong problem-solving, communication, and collaboration skills in multidisciplinary environments.
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 Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. 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. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
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