About Company

Our client is a trusted global innovator of IT and business services. We help clients transform through consulting, industry solutions, business process services, digital & IT modernisation and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe.

Job Title: Data Scientists / Extraction

Location: Pan India

Experience: 7+ yrs

Job Type : Contract to hire

Notice Period:- Immediate joiner

Mandatory Skills

· Hands-on experience with Data Scientists / Extraction .

Responsibilities:
- Lead the design and implementation of advanced machine learning and generative AI models for large-scale AI projects.
- Collaborate with data scientists and software engineers to build and deploy scalable, production-grade ML and GenAI solutions.
- Drive the end-to-end deployment of machine learning and GenAI models,



ensuring seamless integration into production environments and monitoring their performance post-deployment.
- Conduct in-depth data analysis and feature engineering to extract meaningful insights from complex, high-volume datasets.
- Optimize and fine-tune machine learning and generative AI models to enhance accuracy, efficiency, and performance.
- Stay current with the latest advancements in machine learning, generative AI (such as LLMs, diffusion models, and GANs), and apply them to improve existing systems.
- Work with cross-functional teams to define project requirements and deliver high-quality, innovative AI solutions on schedule.

Requirements:
- Bachelor’s or master’s degree in computer science, Data Science, or a related field.
- 7–10 years of qualified experience in data science, machine learning, or AI-related roles.
- Hands-on experience with AWS Cloud Stack.
- Expert-level proficiency in Python and experience with machine learning an

📌 Data Scientists (India)
🏢 People Prime Worldwide
📍 India