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    Job · 21384120

    BENGALURU · FULLTIME

    RGM - Data Scientist

    Infosys

    Infosys

    Bengaluru · onsite · Posted 3d ago

    Sourced fromNaukri
    Undisclosed8–13 yrsfulltimeBengaluru

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    Section · 01

    About this role

    Roles & ResponsibilitiesRESPONSIBILITIES:
  1. Invent, research, envision, design, solution and deliver AI/ ML applications at scale delivering measurable value
  2. 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
  3. Designing, developing, and researching Machine Learning systems, models, and schemas through data science and data analytics prototypes.
  4. Continuous learning - Certifications.
  5. Incubation mindset - Research oriented, ability to deliver quick POC's, and come up with ideas.
  6. Communication and Documentation - Ability to share knowledge, conduct presentations and sessions, talk to clients and stakeholders, write good-quality technical documentation.
  7. Problem Solving - Technical depth in solving real-world problems with appreciation of business imperatives. Technical RequirementSKILLS - MUST HAVE:
  8. 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
  9. Implementation of Generative AI models for business solutions and experience on Azure Open AI, AWS Bedrock or Vertex AI or open-source models - Expert
  10. Python programming with robust code - Expert
  11. Developing a framework or generic pipeline to retrieve, optimize, and deploy Open-Source Models - Expert
  12. Explore and design a reference architecture for developing virtual assistants using foundation models - Expert
  13. 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
  14. Understanding of LLMs and Gen AI especially as applied to text and image analysis and training - Working knowledge
  15. Experienced in fine-tuning of LLM models, implementation of AI Guardrails and Responsible AI Framework (explainability, bias detection, hallucination control) - Working knowledge
  16. Experienced in implementing LangChain Frameworks - Working knowledge
  17. Linux, HTTP/ REST - Working knowledge
  18. Cloud Technologies - At least one of GCP, AWS, Azure
  19. JIRA, Conflence - Working knowledge Additional ResponsibilitySKILLS - GOOD TO HAVE:
  20. Linux shell-scripting
  21. Multilingual NLP SOFT SKILLS:
  22. Good communication
  23. Ability to work in a team as well as independently deliver modules
  24. Team player LEADERSHIP SKILLS:
  25. People Leadership: Able to lead and mentor a team of ~10-15 people
  26. 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
  27. Sourced from naukri

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    Section · 02

    Skills

    Bedrockai modelscloud technologiesaws bedrockamazon web servicesdata scientistAnalyticsData AnalyticsDatabrickscloudAlgorithmsArchitectureAdvanced AnalyticsDeep LearningData ProcessingMicrosoft AzureData ScienceArtificial Intelligence

    Section · Company

    About Infosys

    Infosys

    Infosys

    IT Services & Consulting

    323.6k+

    employees

    1981

    45 years old

    Bengaluru/Bangalore, Karnataka

    India

    About

    Infosys is a global leader in next-generation digital services and consulting.

    Industries

    IT Services & ConsultingConsulting

    Employee ratings

    48,765 reviews

    3.5/ 5

    Culture

    3.6

    Career growth

    2.6

    Work-life

    3.6

    Employees rate it well for

    Salary10252Work Life Balance6251Work Culture5404Learning4530Appraisal3780

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