Deputy Vice President/Assistant Vice President/Senior Manager - Data Science - AI/ML Domain

Role Overview: You will be leading the development and scaling-up of production-ready AI systems by combining traditional software engineering with python, machine learning, LLMs, and MLOps to build, deploy, and maintain end-to-end AI-powered applications. Your role will require hands-on technical expertise to drive innovation while mentoring high-performing teams. Key Responsibilities: - Design and architect end-to-end Data science, Machine Learning (ML), Deep Learning (DL) and Gen AI, Video Analytics solutions. Exposure to Agentic AI will be preferred. - Lead the development and deployment of AI solutions, ML models and Gen AI solutions. - Hands-on involvement in designing models, using AI solutions for code generation, reviewing code, and troubleshooting issues in AI, ML, DL, Gen AI solutions. - Drive adoption of Gen AI, Agentic AI solutions. - Establish best practices for ML model development, testing, deployment, and production monitoring. Experience with ML Ops will be preferred. - Ensure scalable, robust, and maintainable data engineering pipelines and solutions. - Ensure designed AI solutions integrate seamlessly with existing Cloud Infrastructure, enterprise systems, and platforms. - Contribute to data-driven decision making, deliver presentations, provide technical mentorship, and foster a collaborative team culture focused on continuous learning. Qualification Required: - 8-15 years of progressive experience in software development and extending into Data Science, AI ML, DL, Gen AI, Agentic AI technologies. - Minimum 3 years of hands-on experience in Data Science, ML, DL, Gen AI. (LLMs, RAG, Fine-tuning). - Experience with cloud services on platforms like AWS, GCP, or Azure. - Strong skills in designing & implementing DS, AI ML, ML Ops, and Gen AI solutions using python, R, Scala, Spark. - Strong foundation in Database systems, data modeling, and data architecture (SQL, NoSQL, vector databases). - Exposure to SAS VIYA analytics platform will be preferred. - Excellent written, verbal communication skills, inter-personal, presentation, time management, escalation management, prioritization, problem-solving, and critical thinking skills. - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Certifications in areas such as Data Engineering, Cloud Skills, AI/ML, Gen AI, Agentic AI will be an added advantage. Role Overview: You will be leading the development and scaling-up of production-ready AI systems by combining traditional software engineering with python, machine learning, LLMs, and MLOps to build, deploy, and maintain end-to-end AI-powered applications. Your role will require hands-on technical expertise to drive innovation while mentoring high-performing teams. Key Responsibilities: - Design and architect end-to-end Data science, Machine Learning (ML), Deep Learning (DL) and Gen AI, Video Analytics solutions. Exposure to Agentic AI will be preferred. - Lead the development and deployment of AI solutions, ML models and Gen AI solutions. - Hands-on involvement in designing models, using AI solutions for code generation, reviewing code, and troubleshooting issues in AI, ML, DL, Gen AI solutions. - Drive adoption of Gen AI, Agentic AI solutions. - Establish best practices for ML model development, testing, deployment, and production monitoring. Experience with ML Ops will be preferred. - Ensure scalable, robust, and maintainable data engineering pipelines and solutions. - Ensure designed AI solutions integrate seamlessly with existing Cloud Infrastructure, enterprise systems, and platforms. - Contribute to data-driven decision making, deliver presentations, provide technical mentorship, and foster a collaborative team culture focused on continuous learning. Qualification Required: - 8-15 years of progressive experience in software development and extending into Data Science, AI ML, DL, Gen AI, Agentic AI technologies. - Minimum 3 years of hands-on experience in Data Science, ML, DL, Gen AI. (LLMs, RAG, Fine-tuning). - Experience with cloud services on platforms like AWS, GCP, or Azure. - Strong skills in designing & implementing DS, AI ML, ML Ops, and Gen AI solutions using python, R, Scala, Spark. - Strong foundation in Database systems, data modeling, and data architecture (SQL, NoSQL, vector databases). - Exposure to SAS VIYA analytics platform will be preferred. - Excellent written, verbal communication skills, inter-personal, presentation, time management, escalation management, prioritization, problem-solving, and critical thinking skills. - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Certifications in areas such as Data Engineering, Cloud Skills, AI/ML, Gen AI, Agentic AI will be an added advantage.