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InfoObjectsvia Indeed

Sr. Data Scientist

RJ, INPosted 3mo ago
Data ScientistSeniorFull-time#python#pytorch#tensorflow#huggingface#gpt#reinforcement-learning#aws#gcp#azure

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About the Role

Job Title - Data Scientist
Exp - 5 years+
Location - Jaipur
Work Mode - On-site
Immediate joiners preferred

About the Role:

As a Senior Data Scientist at InfoObjects, you will take ownership of designing, developing, and deploying advanced AI and ML models to solve complex business challenges. You will collaborate with cross-functional teams, including data engineers, AI/ML engineers, and business stakeholders, to drive data-driven decision making and innovative solutions.

Key Responsibilities:

  • Lead the design and implementation of advanced AI/ML models using frameworks like OpenAI, Hugging Face, PyTorch, or TensorFlow.
  • Develop and fine-tune predictive models, including LLMs (GPT, Claude, Llama, Gemini) and generative models (Diffusion Models, GANs), tailored to client and project needs.
  • Conduct research on cutting-edge AI techniques, including reinforcement learning (RL), transfer learning, and model optimization.
  • Collaborate with stakeholders to identify business problems and translate them into AI/ML solutions.
  • Lead the integration of AI models into scalable applications and ensure seamless deployment.
  • Monitor model performance and implement improvement strategies through continuous training and evaluation.
  • Mentor junior data scientists, promoting best practices and ethical AI adoption.

Must-Have Skills:

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Machine Learning, or related fields.
  • Proficiency in Python, along with experience in frameworks like PyTorch and TensorFlow.
  • Strong expertise in LLMs (GPT, Claude, Llama, Gemini), generative models (GANs, Diffusion Models), and model fine-tuning.
  • Hands-on experience with APIs and platforms such as OpenAI, Hugging Face, and Vector Databases (Pinecone, Weaviate, ChromaDB).
  • Vector DBs: Experience with AWS solutions including Aurora Postgres, and Databricks Mosaic AI Vector Search.
  • Knowledge of data pipeline orchestration and integration with AWS Knowledge Bases. • Document Processing: Familiarity with tools like Azure AI Document Intelligence.
  • Proficiency in cloud platforms (AWS, GCP, Azure) and experience with Databricks.
  • Strong understanding of model evaluation metrics, retrieval-augmented generation (RAG), and ML model lifecycle management.
  • Proven leadership abilities with a focus on team collaboration and mentoring.
  • Analytical mindset and strong problem-solving skills.

Job Type: Full-time

Pay: ₹998,533.88 - ₹2,468,189.16 per year

Benefits:

  • Food provided
  • Health insurance
  • Leave encashment
  • Paid sick time
  • Paid time off
  • Provident Fund

Work Location: In person

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