Job Summary

CTG Tracking ID-RDINI12
HM Name:52293442 Sujan

"Data Scientist / ML Engineer
At HCLTech, our Communications Technology Group (CTG) is driving the future of innovation through our AI Program. We are modernizing processes, transforming products, and pioneering new AI-driven features to help our clients stay ahead in an increasingly digital world. As part of this program, we are building a talented team of Data Scientists and Machine Learning Engineers who are eager to shape the next generation of AI solutions.
We are looking for passionate and skilled Data Scientists and Machine Learning Engineers to join our dynamic team. If you are driven by curiosity, motivated to create real-world impact, and eager to work with cutting-edge technologies, this opportunity is for you.
Required / Desired Experience
- 3–5 years of proven experience in Data Science, Machine Learning, or related roles
- Experience working with real-world datasets, model deployment, and ML pipelines
- Demonstrated ability to collaborate across multidisciplinary teams
Key Responsibilities
- Analyze and interpret large datasets to deliver actionable insights
- Design, develop, and deploy machine learning models at scale
- Collaborate with cross-functional teams to integrate ML solutions into products
- Continuously improve model performance and scalability through MLOps practices
- Communicate technical results to non-technical stakeholders
"

Key Responsibilities

1. To architect| design and develop (through Team) solution for product/project & sustenance delivery
2. To support as an Subject Matter Expert
3. To ensure knowledge up-gradation and work with new technologies so that the solution is current and meets quality standards and the client requirements
4. Ensuring a sufficient pool of skilled professionals in the designated technology, through activities such as conducting interviews, providing training sessions and offering mentorship.
5. To gather specifications and deliver solutions to the client organization based on understanding of a domain or technology.
6. To support competency development with envisioning and articulating propositions – building collaterals/ whitepaper creation, market trend analysis etc.
7. To recommend client value creation initiatives and implement industry best practices (on specific technology/product)

Skill Requirements

AI/ML Tools - Others, Java, Telecom, TensorFlow, Python, Docker

Other Requirements

null