Sr Data Scientist

Sr Data Scientist Sr Data Scientist Location
Hyderabad, Telangana IN Department
Product & Engineering Job Role
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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. What you'll be responsible for?
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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.
‍ Qualification and other skills
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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
‍ What you'd have?
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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
‍ Why join us?
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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.