Develops, deploys, and optimizes scalable machine learning models and pipelines. Performs data analysis, applies deep learning to complex data, monitors production model performance, and collaborates with product and engineering teams to integrate AI capabilities into business solutions.
AI/ML Engineer
Summary
We are seeking a skilled AI/ML Engineer to drive the development and implementation of advanced machine learning solutions within our IT Services sector. In this pivotal role, you will bridge the gap between complex data insights and actionable business outcomes by designing, deploying, and refining sophisticated models. Your expertise will be essential in optimizing system performance, ensuring data integrity, and fostering collaboration across diverse teams to solve critical challenges using cutting-edge artificial intelligence technologies.
Responsibilities
- Architect and deploy scalable machine learning models while continuously optimizing their efficiency and accuracy.
- Conduct comprehensive data analysis to extract meaningful patterns and inform strategic decision-making processes.
- Establish robust frameworks for monitoring model performance in production environments to ensure reliability.
- Collaborate closely with cross-functional teams, including product managers and software engineers, to integrate AI capabilities into broader business solutions.
- Apply advanced problem-solving techniques to address technical hurdles and improve system architecture.
- Utilize deep learning methodologies to develop innovative solutions for complex, unstructured data challenges.
- Leverage Python programming to build, test, and maintain high-quality codebases for machine learning pipelines.
Requirements
Requirements:
- Proven work experience of 4 to 7 years in developing and deploying AI/ML solutions.
- Proficiency in Python programming with a strong foundation in data science libraries.
- Hands-on expertise in Deep Learning (DL) and Machine Learning (ML) frameworks and algorithms.
- Demonstrated ability in model deployment, optimization, and lifecycle management.
- Strong analytical skills with a track record of performing in-depth data analysis.
- Experience in setting up and managing model performance monitoring systems.
- Excellent cross-functional collaboration skills with a proactive problem-solving mindset.
- Competitive salary range of ₹13-17 LPA commensurate with experience and expertise.
Similar Jobs
Information Technology
Leads research and innovation in agentic AI, autonomous agents, reinforcement learning, multi-agent systems, and LLM-powered workflows. Designs prototypes, integrates AI capabilities into scalable production systems, publishes research, advises clients, partners with responsible AI and engineering teams, and mentors researchers and engineers. The role requires deep expertise in computer vision, agentic architectures, LLM integration, and frameworks such as LangChain or AutoGPT.
Top Skills:
AutogptAutonomous AgentsChatbotsCloud Ai ServicesComputer VisionDeep LearningGenerative AiImage ProcessingLangchainLarge Language ModelsMulti-Agent SystemsNeural NetworksReinforcement Learning
Information Technology • Consulting
Lead the architecture, development, and deployment of enterprise AI systems using LLMs, RAG, multimodal models, and multi-agent architectures. Drive prototyping through production delivery, establish LLMOps practices, and ensure model reliability, security, and governance. Serve as a technical advisor during presales, collaborate with product and data teams, and mentor junior engineers.
Top Skills:
Automated Model EvaluationAws SagemakerAzure MlCcpaCi/CdGcp Vertex AiGdprHugging FaceLangchainLarge Language Models (Llms)LlmopsModel ObservabilityModel VersioningMulti-Agent SystemsMultimodal AiPythonPyTorchRetrieval-Augmented Generation (Rag)TensorFlow
Information Technology • Marketing Tech • Software • Design
Develop and deploy production machine learning systems for fall detection and health risk scoring. Build classical ML models, engineer features from radar and point-cloud data, contribute to pose estimation, and create Databricks training and inference pipelines. Own model evaluation and false-alarm reduction for a safety-critical system, monitor deployed models, and mentor team members while working in a fast-moving environment.
Top Skills:
Computer VisionDatabricksMlopsOnnxPoint-Cloud DataPythonRadar Signal ProcessingTime-Series ModelingXgboost
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
