RGM - Data Scientist

Infosys; Bengaluru; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Infosys Bengaluru is seeking an experienced AI/ML professional to design, develop and deploy large-scale AI/ML applications. You will build end-to-end solutions, research models, and drive POC-based incubation while collaborating with clients and stakeholders.

The role emphasizes hands-on coding, cloud deployment across Azure/AWS/GCP, and ongoing certifications to stay at the cutting edge of AI technologies.

Qualifications

• Experience designing and deploying hyperscaler-based ML models at scale.
• Hands-on with Generative AI models on cloud platforms and open-source options.
• Strong Python coding skills and robust software engineering practices.

Responsibilities

• 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
• Designing, developing, and researching Machine Learning systems, models, and schemas through data science and data analytics prototypes.
• Continuous learning - Certifications.
• Incubation mindset - Research oriented, ability to deliver quick POC's, and come up with ideas.
• Communication and Documentation - Ability to share knowledge, conduct presentations and sessions, talk to clients and stakeholders, write good-quality technical documentation.

Skills

Python programming

Generative AI

LLMs & GenAI

Deep learning

LangChain

Cloud platforms

MLOps & deployment

Frameworks (TF, PyTorch)

Education

Diploma of Applied Science

PhD in Computer Science

PhD in Mathematics

Bachelor of Engineering

Tools

Databricks

Azure

AWS

GCP

HuggingFace

TensorFlow

PyTorch

Job description

Roles & ResponsibilitiesRESPONSIBILITIES:

• 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
• Designing, developing, and researching Machine Learning systems, models, and schemas through data science and data analytics prototypes.
• Continuous learning - Certifications.
• Incubation mindset - Research oriented, ability to deliver quick POC's, and come up with ideas.
• Communication and Documentation - Ability to share knowledge, conduct presentations and sessions, talk to clients and stakeholders, write good-quality technical documentation.
• Problem Solving - Technical depth in solving real-world problems with appreciation of business imperatives. Technical RequirementSKILLS - MUST HAVE:
• 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 - Expert
• Implementation of Generative AI models for business solutions and experience on Azure Open AI, AWS Bedrock or Vertex AI or open-source models - Expert
• Python programming with robust code - Expert
• Developing a framework or generic pipeline to retrieve, optimize, and deploy Open-Source Models - Expert
• Explore and design a reference architecture for developing virtual assistants using foundation models - Expert
• 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.) - Working knowledge
• Understanding of LLMs and Gen AI especially as applied to text and image analysis and training - Working knowledge
• Experienced in fine-tuning of LLM models, implementation of AI Guardrails and Responsible AI Framework (explainability, bias detection, hallucination control) - Working knowledge
• Experienced in implementing LangChain Frameworks - Working knowledge
• Linux, HTTP/ REST - Working knowledge
• Cloud Technologies - At least one of GCP, AWS, Azure
• JIRA, Conflence - Working knowledge Additional ResponsibilitySKILLS - 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: Having papers published in renowned journals, presentations in conferences, patent-filing preferred Educational RequirementDiploma of Applied Science,PhD of Computer Science,PhD of Mathematics,Bachelor of Engineering Preferred SkillsTechnology->AI-Data science->Databricks Machine Learning,Technology->AI-Generative AI->Artificial Intelligence - BASIC Service LineGlobal Delivery