What you would do in this role 

• Development and testing of AI algorithms and techniques, custom-tailored to effectively address and solve specific, complex business problems. 
• Manage large databases proficiently, conducting exploratory data analytics to derive valuable insights for stakeholders. 
• Track down and thoroughly investigate previous information related to a problem, asking probing questions to identify root causes. 
• Employ a systematic approach to problem-solving, exploring known avenues and asking insightful questions to unravel the core issues. 
• Work collaboratively with both internal teams and external consultants/managers to achieve project objectives. 
• Develop and manage data pipelines to streamline the flow of information for enhanced efficiency. 
• Demonstrate adaptability and flexibility in responding to changing project requirements. 
• Proactively seek and embrace continuous learning opportunities to stay updated with the industry trends and advancement.  
• Leverage the Microsoft ecosystem—Azure OpenAI, Azure AI Studio, Azure ML, Cognitive Search, and M365 Copilot extensibility—to build secure and scalable AI solutions.
• Design and implement GenAI and agentic AI systems, including RAG pipelines, autonomous agents, and LLM-driven workflows tailored to business needs.

Job Qualifications 

Who are we looking for? 

• Bachelor’s or master’s degree in computer science, engineering, data science, or a related field. 
• Experience working for large Software or Platform organizations. 
• Proven experience (2+ years) in working on AI projects and delivering successful outcomes. 
• Leverage the Microsoft ecosystem—Azure OpenAI, Azure AI Studio, Azure ML, Cognitive Search, and M365 Copilot extensibility—to build secure and scalable AI solutions.
• Design and implement GenAI and agentic AI systems, including RAG pipelines, autonomous agents, and LLM-driven workflows tailored to business needs.
• Develop AI accelerators and POCs using Azure cloud-native architectures, ensuring performance, governance, and Responsible AI compliance.
• Stay current with advancements in LLMs, multimodal models, and Microsoft AI tooling, translating emerging capabilities into actionable business solutions.
• Hands on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modelling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. 
• Ability to work with large data sets and present findings / insights to key stakeholders; Data management using databases like SQL 
• Proficiency in statistical packages such as R, Python, Java, SQL, Spark, etc. 
• Knowledge in training large language models and fine-tuning for specific applications or domains. 
• Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. 
• Excellent analytical and problem-solving skills, with a data-driven mindset. 
• Proficient in Excel, MS word, PowerPoint, etc. 

Gurugram

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