A leading AI consulting firm in Pune is seeking a Data Scientist/Senior Data Scientist to design and implement AI-powered solutions. Candidates should have strong skills in Natural Language Processing, Generative AI, and cloud platforms. This role requires mid-senior level experience and offers full-time employment in a collaborative team environment.
Qualifications
Hands-on experience in NLP for use case classification and chatbots.
Experience in computer vision tasks like object detection.
Proficiency with SaaS LLMs, including Azure OpenAI and Google Vertex AI.
Responsibilities
Design and implement solutions utilizing Large Language Models.
Conduct research on generative AI developments.
Collaborate with cross-functional teams.
Skills
Natural Language Processing (NLP)
Computer Vision
Generative AI
Cloud platforms (Azure, AWS, GCP)
Application Development (Python, Docker)
Problem-solving skills
Communication skills
Tools
TensorFlow/PyTorch
Git
Job description
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Job Title: Data Scientist/Senior Data Scientist
Responsibilities
Design and implement advanced solutions utilizing Large Language Models (LLMs).
Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
Conduct research and stay informed about the latest developments in generative AI and LLMs.
Develop and maintain code libraries, tools, and frameworks to support generative AI development.
Participate in code reviews and contribute to maintaining high code quality standards.
Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.
Possess strong analytical and problem-solving skills.
Demonstrate excellent communication skills and the ability to work effectively in a team environment.
Primary Skills
Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation.
AND/OR
Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.
Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
Familiarity with Open-source LLMs, including tools like TensorFlow/PyTorch and HuggingFace. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.