Job details
Pay
- ₹9,98,533.88 - ₹24,68,189.16 a year
Job type
- Full-time
Location
Jaipur, Rajasthan
Benefits
Pulled from the full job description
- Food provided
- Health insurance
- Paid time off
- Paid sick time
- Leave encashment
- Provident Fund
Full job description
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