AI/Ml Engineer

Job highlights Masters in CS/Engineering/Math/Statistics with 6-8 years in AI/ML including 3 years in Generative AI technologies like LangChain, RAG, Vector DB, and prompt engineering Develop and implement AI/ML strategies in marketing, collaborate with cross-functional teams, drive AI/ML product deployments using Agile and DevSecOps practices Job match score Early Applicant Keyskills Location Work Experience Job description Role & responsibilities Develop and implement AI and machine learning strategies primarily in marketing domains. Understanding of the complete content supply chain will be added advantage. Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives Hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/Generative AI where applicable Possess deep expertise AI/ML/Generative AI, Agile methodologies, and DevSecOps to deliver daily product deployments using full automation from code check-in to production across the full SDLC/AIDLC lifecycle Required Qualifications: Masters degree in computer science, Engineering, Mathematics, Statistics, or a related discipline 6 to 8 years of experience in Software Engineering, Data Science, or Analytics, with at least 8 years in AI/ML engineering or related fields and the last 3 years focused on Generative AI technologies including OpenAI, Claude, Gemini, LangChain, Agents, RAG, Vector Databases, Prompt Engineering, and fine-tuning Experience with AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, and Scikit-learn Experience with cloud platforms such as AWS, Azure, and GCP Experience with DevOps and CI/CD tools and practices including Git, Jenkins, Docker, and Kubernetes Hands-on experience in AI and driving the development of innovative AI and machine learning solutions Proficiency in Python or other programming languages for data analysis and AI/ML development Proven expertise in AI/ML techniques including deep learning, natural language processing, computer vision, recommender systems, reinforcement learning, and large language models Preferred candidate profile Masters/Graduate Engineering, Mathematics, Statistics, or a related discipline Experience working with cross-functional and distributed teams in a global and diverse environment Experience in establishing and enforcing AI/ML best practices, standards, and ethics Experience in Realizing Value from AI/ML products as well as production ready product Proven history of delivering high-impact AI/ML solutions for real-world problems and use cases Role: Data Science & Machine Learning - Other Industry Type: Insurance Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: B.Tech / B.E. in Any Specialization read more Key Skills Skills highlighted with ‘‘ are preferred keyskills Langchaingenerative aiArtificial IntelligenceNatural Language ProcessingRetrieval Augmented Generation Agentic AiVector DatabaseMachine LearningPython Report this job