Tata Communications
Website:
tatacommunications.com
Job details:
About The Company
Tata Communications Redefines Connectivity with Innovation and IntelligenceDriving the next level of intelligence powered by Cloud, Mobility, Internet of Things, Collaboration, Security, Media services and Network services, we at Tata Communications are envisaging a New World of Communications
Job Description
Team – AI Application Development Team
Role: Technical Manager
Position overview
Work in an innovative and fast paced AI application development team to conceptualize and execute projects to leverage the power of modern AI and analytics. The work will be related to producing business outcomes for Cloud and Cybersecurity products and services of Novamesh, a wholly owned subsidiary of Tata Communications Ltd.
Success in this role requires a mix of data science skills, appreciation of the business, and ability to work across teams. A special focus area of this role would be to identify and execute ideas for creating monetizable product differentiators by working with Domain Experts from individual product teams and acquire domain skills in the process.
Detailed Job Description
- Lead a team of engineers to delivery the above and own satisfaction of the consumers of the products. Provide technical expertise and also implement code
- Develop, Test, and Deploy AI/ML based tools and products for various stakeholders within the organization and for customers
- Utilize knowledge in ML, Gen AI , Agentic AI, MCP and LLMs for delivery combining with expected business outcomes
- 10+ Years of industry experience with demonstratable outcomes in field of Data Science and Gen AI
- Perform data preprocessing, feature engineering and Agentic, GenAI, ML/AI model evaluation
- Optimize and fine-tune models for performance and scalability
- Good understanding of Statistical, ML, AI, GenAI and Agentic frameworks
- Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT
- Build and refine RAG models to improve information retrieval and answer generation.
- Integrate RAG methods into existing applications to enhance data accessibility and user experience.
- Work closely with cross-functional teams including software engineers, product managers, and domain experts.
- Document processes, methodologies, and model development for internal and external stakeholders.
- Go-getter attitude and will to “Make it happen"
Qualification and Skills
- Demonstrable experience in leading teams
- Bachelor or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field from reputed institutions.
- Strong knowledge of probability and statistics.
- Expertise in machine learning and deep learning skills
- Hand on experience with GenAI, LLMs and SLMs
- Strong programming skills
- Python, PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex , OpenAI
- SQL, flat file DB, Datalakes, data stores, data frames (Pandas, Cudf etc.)
- Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode.
- Good knowledge of Data Engineering and working knowledge of the same
- Excellent problem-solving skills and a proactive attitude.
- Excellent communication skills and teamwork abilities.
Interview will involve written tests including coding.
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