Senior Data Scientist for AI Innovation

3 days ago

Dombivli, Maharashtra, India beBeeArtificial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title: Senior Data Scientist for AI Innovation

About the Role

We are seeking a talented and experienced Senior Data Scientist to join our team of innovators in the field of Artificial Intelligence. As a key member of our organization, you will be responsible for designing and developing domain-adaptive agentic AI systems to automate business processes.

The ideal candidate will have a strong background in machine learning and AI engineering, with expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows. You will also have experience in prompt engineering to optimize AI model performance and proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.

Responsibilities
  • Design and develop domain-adaptive agentic AI systems to automate business processes.
  • Fine-tune large-scale pre-trained models with techniques like PEFT, SFT, and adapt them for specific applications and domains.
  • Develop prompts using Chain of Thought and Few Shot to enhance model responses and align outputs with use case requirements.
  • Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments.
  • Collaborate with cross-functional teams to define AI product requirements and deliver innovative solutions.
Requirements
  • 5+ years of hands-on experience in machine learning and AI engineering.
  • Proven track record in working with LLMs such as Llama, Mistral, and models like GPT, BERT, T5, or similar.
  • Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows.
  • Strong experience in prompt engineering to optimize AI model performance.
  • Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
  • Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models.
  • Experience with NLP tasks, such as text classification, text generation, summarization, and question answering.

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