Senior Data Scientist

Hi ,

Greetings from talent Triumph Infotech Pvt.Ltd !!

Please find the job description for Senior Data Scientist .

Exp : 6+Years

CTC :upto 18 LPA

Np: Immediate

Education :B.Tech / M.Tech / MCA

Location: Bangalore ,Chennai , Pune , Coimbatore

Job Mode : Contract (Long Term)

Payroll :Talent Triumph Infotech Pvt.Ltd

Work Mode :Hybrid / WFO

Interview Mode : Virtual

Python, Machine Learning (ML) and Natural Language Processing (NLP) and Generative AI (GenAI) and Azure Cloud Services.

Key Responsibilities:

• Design and develop

  ML, NLP, and GenAI models

  to solve complex business problems.
• Build, train, and optimize AI models using

  Python

  and relevant ML frameworks.
• Implement

  Azure AI/ML services

  for scalable deployment of models.
• Develop and integrate APIs for real-time model inference and decision-making.
• Work with

  large-scale data

  to extract insights and drive strategic initiatives.
• Collaborate with cross-functional teams, including

  Data Engineers, Software Engineers, and Product Teams

  , to integrate AI/ML solutions into applications.
• Implement

  CI/CD pipelines

  to automate model training, deployment, and monitoring.
• Ensure adherence to

  software engineering best practices

  and

  Agile methodologies

  in AI/ML projects.
• Stay updated on

  cutting-edge AI/ML advancements

  and continuously enhance models and algorithms.
• Conduct research on

  emerging AI/ML trends

  and contribute to the development of innovative solutions.
• Provide technical mentorship and guidance to junior data scientists.
• Optimize model performance and scalability in a

  production environment

  .

Required Skills & Qualifications:

• Proficiency in Python

  and ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Hands-on experience in

  NLP techniques

  , including transformers, embeddings, and text processing.
• Expertise in

  Generative AI models

  (GPT, BERT, LLMs, etc.).
• Strong knowledge of

  GCP

• Experience in

  developing APIs

  for model deployment and integration.
• Familiarity with

  CI/CD pipelines

  for AI/ML models.
• Strong understanding of

  software engineering principles

  and best practices.
• Experience working in an

  Agile development environment

  .
• Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.
• Strong background in

  statistical analysis, data mining, and data visualization

  .

Preferred Qualifications:

• Experience in

  MLOps

  and automation of model lifecycle management.
• Knowledge of

  vector databases

  and retrieval-augmented generation (RAG) techniques.
• Exposure to

  big data processing frameworks

  (Spark, Hadoop).
• Strong ability to communicate complex ideas to technical and non-technical stakeholders.
• Experience with

  Graph Neural Networks (GNNs) and recommendation systems

  .
• Familiarity with

  AutoML frameworks

  and hyperparameter tuning strategies.