Gen Ai

6 - 11 years

15 - 25 Lacs

Posted:1 week ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Location: Bangalore

Experience: 6 - 14 Years

Notice Period: Immediate Joiners and Serving NP

JD:

  • AI and Machine Learning minimum 2 years of hands on experience in Artificial Intelligence,

    Machine Learning

    ,

    Deep Learning

    , Computer Vision projects, products, and systems. Experience of working on ML algorithms, DL models (NLP based models). Vector Databases, Graph Databases etc.
  • Generative AI Familiarity with Generative AI models – including

    LLMs

    ,

    RAG

    Approach, communication flow in both approaches, multimodal usage, open-source models from Hugging face,

    Lang chain frameworks

    ,

    Vector DB

    (atleast one DB should be well known in terms of indexing, storing the embeddings, extracting the answers),

    Prompts, Context based prompts

    etc. Experience with transformer-based and diffuser-based models (e.g.,

    BERT, GPT, T5, Llama, Stable diffusion

    )
  • Cloud Platforms: At-least experience of working on one of cloud platforms:

    AWS Sagemaker, Azure OpenAI, GCP, Google Cloud Vertex AI, IBM WatsonX

    etc.
  • Thorough knowledge on the various types of Models, F1 score, accuracy,

    training the models, tuning of models

    (with hyperparameters & all other techniques), possible statistical models and their fitment, model deployment, data pre/post processing. Knowledge should come out of their practical experience from their projects (no theoretical answers) either using cloud native services or open-source s/w.
  • HW Platforms: At-least experience of working on Intel or Nvidia platforms (CPU+GPU)s
  • Software Engineering – agile development practices, requirements, design, architecture, debugging and validation of software products/projects
  • Experience building commercial grade software, with much of that experience in a large scale, high availability service.
  • Programming Experience –

    Python, C, C++, C#, Java

    etc.
  • Working knowledge of Distributed Systems and Cloud Technologies.
  • Proficiency in

    Python and relevant ML libraries (e.g., TensorFlow, PyTorch)

    to develop production-grade quality product
  • Ability to debug, read code and work on a large and increasing codebase
  • Good understanding of statistics, linear algebra, and probability theory
  • Excellent problem-solving skills and the ability to work independently and collaboratively
  • Design and architecture: Ability to understand scalable, performant, secure, and efficient AI systems and solutions.
  • Collaboration: Ability to work seamlessly with cross-functional teams, including data scientists, project engineers, delivery (customer), and practice teams.
  • Communication: Ability to clearly convey technical concepts to both technical and non-technical audiences

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