Sr Data Scientist

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The role involves designing, building, and fine-tuning large language models (LLMs) for both text and voice-based applications. The candidate will drive innovation in generative AI solutions, implement end-to-end ML pipelines, and ensure reliability, scalability, and ethical AI deployment across Tanla’s AI initiatives.

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• Design, develop, and deploy large language models (LLMs) for both text and voice use cases.
• Implement fine-tuning, prompt engineering, and optimization for domain-specific Gen AI solutions.
• Architect and manage ML systems leveraging neural networks and transformer architectures.
• Drive implementation of Retrieval-Augmented Generation (RAG) systems and AI agents.
• Collaborate with cross-functional teams to build scalable AI products.
• Conduct data preprocessing, model evaluation, and continuous model improvement.
• Lead projects on responsible AI deployment, bias detection, and model governance.
• Mentor junior engineers and contribute to the AI/ML Centre of Excellence at Tanla.

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Qualification: Bachelor’s or master’s degree from any Tier 1 institution

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Experience: 5–10 Years

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Behavioral Skills:

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• Strong analytical and problem-solving abilities
• Excellent communication and collaboration skills
• Proactive, innovative, and results-driven mindset
• Ability to work in a fast-paced, dynamic environment
• Commitment to responsible AI practices and continuous learning

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• Deep understanding of Neural Networks and Transformer-based architectures (GPT, BERT, Llama, etc.)
• Hands-on experience with LLM fine-tuning, prompt engineering, and generative AI frameworks (LangChain, LlamaIndex, AutoGen, CrewAI)
• Experience building AI systems for both Voice and Text modalities
• Proficiency in Python, TensorFlow, PyTorch, Hugging Face, and related ML frameworks
• Strong understanding of RAG systems and vector databases (Pinecone, Weaviate, ChromaDB)
• Expertise in ML Ops, model deployment, and monitoring (Kubernetes, Docker, CI/CD)
• Knowledge of cloud-based AI services (AWS Sagemaker, Azure ML, GCP Vertex AI)
• Familiarity with NLP, Speech Recognition, and Conversational AI
• Sound understanding of AI ethics, governance, and compliance

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• Impactful Work: Solve meaningful real-life business problems by building cutting-edge products.
• Tremendous Growth Opportunities: Work in a fast-growing CPaaS and product-driven culture with scope for continuous professional development.
• Innovative Environment: Be part of a world-class team that loves solving tough problems and values innovation.

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Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees.

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