Machine Learning Engineer

2 weeks ago

Pune, Maharashtra, India NTek Software Solutions Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Job Title: Data Scientist (GenAI & Python)

Client: IXLY Technologies

Practice:
Data & Analytics

Experience Required:
5+ Years

Role:
Data Scientist

Job Type:
Full-Time(Onsite)

Location: Coimbatore,Chennai,Bengaluru and chennai

Job Description:

We are looking for a
Data Scientist
with 5+ years of experience and strong expertise in
Python programming
,
Generative AI
.

The ideal candidate should have hands-on experience working with
GenAI models (Gemini/OpenAI)
,
Vertex AI
,
BigQuery NLP
, and building
RAG-based solutions, GCP/Azure
. The candidate should also be comfortable with modern MLOps tools and advanced NLP/CV techniques.

Key Responsibilities:

  • Develop and deploy AI/ML solutions leveraging
    GenAI (Gemini/OpenAI)
    and
    Vertex AI
  • Build
    RAG (Retrieval Augmented Generation)
    based solutions using
    Vector DBs
    ,
    chunking
    , and
    embedding
    techniques
  • Create and manage
    CI/CD pipelines
    for model deployment and updates
  • Work with
    GCP services
    , especially
    BigQuery
    ,
    Form Recognizer
    , and
    Vertex AI pipelines
  • Build and expose APIs using
    FastAPI
    or
    Django
    for AI service integration
  • Design and optimize
    NoSQL
    and
    Vector Databases
  • Implement
    NLP
    ,
    Computer Vision (CV)
    , and
    Deep Learning
    models for healthcare data
  • Collaborate with cross-functional teams including engineering and product

Primary Skills Required:

  • Strong proficiency in
    Python programming
  • Hands-on with
    GenAI models
    like
    Gemini
    and
    OpenAI
  • Knowledge of
    Form Recognizer
    and
    CI/CD pipelines
  • Experience with
    Vector DBs
    ,
    embedding techniques
    ,
    chunking
    , and
    retrieval methods
  • Solid understanding of
    Machine Learning
    ,
    Deep Learning
    ,
    NLP
    , and
    Computer Vision
  • API development using
    FastAPI
    or
    Django
  • Familiarity with
    NoSQL databases
    and
    RAG-based architectures
  • Cloud: GCP / Azure

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