Padmi

Data Scientist Only Iit Cs/it Passouts Kolkata (India)

IndiaPosted 2 months ago
Data Science And StatisticsJuniorFull Time; Regular
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We are hiring GenAI/LLM practitioners who are hands-on, curious, and execution-focused. Strong practical experience with LLM tools, prompt engineering, and real-world GenAI applications is essential. What you'll do: Design, test, and optimise LLM-driven solutions for real business use cases Create, refine, and manage high-quality prompts, workflows, and agent setups Rapidly prototype GenAI applications using existing tools, APIs, and platforms Evaluate LLM outputs for accuracy, bias, safety, and reliability Stay current with new LLM models, tools, and GenAI trends, and apply them pragmatically Collaborate with business and technical teams to translate ideas into working AI solutions Continuously improve the performance, efficiency, and cost-effectiveness of LLM usage What you'll need: Robust background in Mathematics, Statistics, or Computer Science. Experience with deep learning frameworks like PyTorch or TensorFlow. Proven track record of publishing research or developing scalable AI systems. Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field (Master's or PhD preferred). Additional Competencies: Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus. Robust communication skills and ability to work in a cooperative team environment. We are hiring GenAI/LLM practitioners who are hands-on, curious, and execution-focused. Strong practical experience with LLM tools, prompt engineering, and real-world GenAI applications is essential. What you'll do: Design, test, and optimise LLM-driven solutions for real business use cases Create, refine, and manage high-quality prompts, workflows, and agent setups Rapidly prototype GenAI applications using existing tools, APIs, and platforms Evaluate LLM outputs for accuracy, bias, safety, and reliability Stay current with new LLM models, tools, and GenAI trends, and apply them pragmatically Collaborate with business and technical teams to translate ideas into working AI solutions Continuously improve the performance, efficiency, and cost-effectiveness of LLM usage What you'll need: Robust background in Mathematics, Statistics, or Computer Science. Experience with deep learning frameworks like PyTorch or TensorFlow. Proven track record of publishing research or developing scalable AI systems. Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field (Master's or PhD preferred). Additional Competencies: Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus. Robust communication skills and ability to work in a cooperative team environment.

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