Data Scientist
Infosys
Bengaluru East, Karnataka, India19m agovia LinkedIn
This job at a glance
- Who can apply
- Freshers
- Must know
- Machine learningData structures & algorithmsData analysisStakeholder managementAWSAzure
- Nice to have
- LinuxNLP
- Work
- On-site in Bengaluru East
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis60%Stakeholder management28%Machine learning4%of 25 similar fresher jobs posted in India this week
- Listed
- 12 Nov 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
- Invent, research, envision, design, solution, and deliver AI/ML applications at scale, delivering measurable value.
- Build end-to-end AI/ML solutions: Develop, refine, implement, customize, and deploy state-of-the-art Machine Learning algorithms and systems, and AI models.
- Design, develop, and research Machine Learning systems, models, and schemas through data science and data analytics prototypes.
- Possess an incubation mindset – research-oriented, ability to deliver quick POCs, and come up with ideas.
- Demonstrate strong communication and documentation skills: Ability to share knowledge, conduct presentations and sessions, talk to clients and stakeholders, and write good-quality technical documentation.
- Exhibit problem-solving skills: Technical depth in solving real-world problems with an appreciation of business imperatives.
- Engage in continuous learning through certifications.
Key Responsibilities
- Design, build, and deploy Hyperscalers-based (Azure, AWS, GCP or Databricks) ML models, including large-scale data processing, computationally intensive statistical modeling, and advanced analytics.
- Implement Generative AI models for business solutions and gain experience with Azure Open AI, AWS Bedrock, Vertex AI, or open-source models.
- Develop a framework or generic pipeline to retrieve, optimize, and deploy Open-Source Models.
- Explore and design a reference architecture for developing virtual assistants using foundation models.
- Fine-tune LLM models, implement AI Guardrails, and Responsible AI Framework (explainability, bias detection, hallucination control).
- Implement LangChain Frameworks.
Requirements & Tech Stack
- Python programming with robust code.
- Familiarity with deep learning, machine learning, and frameworks (like Keras, TensorFlow, or PyTorch etc.), HuggingFace Transformers, and libraries (like scikit-learn, spacy, gensim, CoreNLP etc.).
- Understanding of LLMs and Gen AI, especially as applied to text and image analysis and training.
- Familiarity with Linux, HTTP/REST.
- Experience with Cloud Technologies – at least one of GCP, AWS, Azure.
- Experience with JIRA, Confluence.
Qualifications
- Expert knowledge in designing, building, and deploying Hyperscalers-based ML models.
- Expert knowledge in implementing Generative AI models for business solutions.
- Expert knowledge in Python programming.
- Expert knowledge in developing frameworks/pipelines for Open-Source Models.
- Expert knowledge in exploring and designing reference architectures for virtual assistants.
- Working knowledge of deep learning, machine learning, frameworks, HuggingFace Transformers, and associated libraries.
- Working knowledge of LLMs and Gen AI.
- Working knowledge in fine-tuning LLM models, AI Guardrails, and Responsible AI Framework.
- Working knowledge in implementing LangChain Frameworks.
- Working knowledge of Linux, HTTP/REST.
- Working knowledge of at least one of GCP, AWS, Azure.
- Working knowledge of JIRA, Confluence.
Good to Have
- Linux shell-scripting.
- Multilingual NLP.
Soft Skills
- Good communication.
- Ability to work in a team as well as independently deliver modules.
- Team player.
Leadership Skills
- People Leadership: Able to lead and mentor a team of 10-15 people.
- Thought Leadership: Papers published in renowned journals, presentations in conferences, patent-filing preferred.