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Note: We are hiring Y25 Company
Role Overview
We are looking for a Senior AI/Data Scientist with 3-5 years of experience who is passionate about
building AI and machine learning solutions for real-world business problems.
As part of our AI team, you will design, develop and deploy advanced machine learning models,
Generative AI applications and AI-powered decision systems. You will work with structured and
unstructured data, develop predictive models, AI-driven insights and business-aware
Generative AI agents that enhance productivity and decision-making.
Key Responsibilities
• Build Gen AI-enabled solutions using online and offline LLMs, SLMs and TLMs tailored to
domain-specific problems.
• Deploy agentic AI workflows and use cases using frameworks like LangGraph, Crew AI etc.
• Apply NLP, predictive modelling and optimization techniques to develop scalable machine
learning solutions.
• Integrate enterprise knowledge bases using Vector Databases and Retrieval Augmented
Generation (RAG).
• Apply advanced analytics to address complex challenges in Healthcare, BFSI and
Manufacturing domains.
• Deliver embedded analytics within business systems to drive real-time operational insights.
Required Skills & Experience
• 3–5 years of experience in applied Data Science or AI roles.
• Experience working in any one of the following domains: BFSI, Healthcare/Health Sciences,
Manufacturing or Utilities.
• Proficiency in Python, with hands-on experience in libraries such as scikit-learn, TensorFlow
• Practical experience with Gen AI (LLMs, RAG, vector databases), NLP and building scalable
ML solutions.
• Experience with time series forecasting, A/B testing, Bayesian methods and hypothesis
testing.
• Strong skills in working with structured and unstructured data, including advanced feature
engineering.
• Familiarity with analytics maturity models and the development of Analytics Centre of
Excellence (CoE's).
• Exposure to cloud-based ML platforms like Azure ML, AWS SageMaker or Google Vertex AI.
• Data visualization using Matplotlib, Seaborn, Plotly; experience with Power BI is a plus.
What We Look for (Values & Behaviours)
• AI-First Thinking – Passion for leveraging AI to solve business problems.
• Data-Driven Mindset – Ability to extract meaningful insights from complex data.
• Collaboration & Agility – Comfortable working in cross-functional teams with a fast-paced
mindset.
• Problem-Solving – Think beyond the obvious to unlock AI-driven opportunities.
• Business Impact – Focus on measurable outcomes and real-world adoption of AI.
• Continuous Learning – Stay updated with the latest AI trends, research and best practices.
Why Join Us
• Work on cutting-edge AI & GenAI projects.
• Be part of a high-Caliber AI team solving complex business challenges.
• Exposure to global enterprises and AI-driven decision-making.
• Competitive compensation and fast-track career growth in AI.
• Get mentored by best-in-class AI leaders who will help shape you into a top AI professional
Job ID: 126965913
Skills:
Performance Tuning, Api Integration, Tensorflow, Pytorch, Python, LangChain, LLMs, cloud platforms, Monitoring, microservices-based architectures, prompt engineering, model evaluation, MLOps tools, RAG pipelines, AI frameworks
Skills:
Apis, Cloud deployment, Microservices, MLops, Python, LangChain, orchestration frameworks, embeddings, data pipelines, LLMs, vector databases, AutoGen, LangGraph
Skills:
Logistic Regression, Sql, Artificial Neural Networks, Linear Regression, Python, Feature Engineering, Model Evaluation, Statistics, Retrieval-Augmented Generation, Accuracy, Agentic AI, PRECISION, Classification, Recall
Skills:
Pytorch, Docker, Flask, Python, FastAPI, Kubernetes, AWS Bedrock, Hugging Face Transformers, Qdrant, re-ranking, LLM application development, Pinecone, LangSmith, LangGraph, fine-tuning open-source models, Mistral, Google Vertex AI, RAG pipelines, ChromaDB, Weights Biases, LangChain, LLaMA, vLLM, hybrid search, LoRA, Arize Phoenix, Milvus, QLoRA, LlamaIndex
Skills:
MLops, Pytorch, Kubernetes, Python, Hugging Face, vLLM Triton, Vector Databases, LLM Gateway, Agentic AI, Self-hosted Models, RAG, LLM Generative AI, LLM Orchestration