IN_Manager_ AI Engineer_Data and Analytics_Advisory_Pune

Description & Summary: We are seeking an experienced **AI Engineer** with a minimum of 4 years of experience in developing machine learning models and at least 3 years of experience deploying AI solutions into production. The ideal candidate will be proficient in Python, TensorFlow or PyTorch, and experienced with MLOps tools and cloud platforms. As an AI Engineer in the retail home improvement space, you'll help build intelligent systems that enhance the customer experience, optimize inventory, and drive smarter business decisions.Responsibilities:- Design, develop, and deploy AI and machine learning solutions tailored to retail challenges—such as personalized product recommendations, dynamic pricing, and demand forecasting. - Collaborate with data scientists, product managers, engineers, and retail analysts to develop AI-driven features that improve customer experience and operational efficiency. - Build and manage data pipelines that support large-scale training and inference workloads using structured and semi-structured retail data. - Develop and optimize deep learning models using TensorFlow or PyTorch for applications like visual product search, customer segmentation, and chatbot automation. - Integrate AI models into customer-facing platforms (e.g., mobile apps, websites) and backend retail systems (e.g., inventory management, logistics). - Monitor model performance post-deployment and implement continuous improvement strategies based on business KPIs and real-time data. - Contribute to model governance, testing, and documentation to ensure models are fair, explainable, and secure. - Stay informed about AI trends in the retail and e-commerce industry to help the team stay competitive and innovative.Mandatory skill sets:‘Must have’ knowledge, skills and experiences · AI Engineer - Tensorflow, Python, Pytorch, Scikit learn, NLP, Deep learning, Supervised learning, MLOPs, CICD, API development with FastAPI, ML System Integrations, Understanding of Jenkins, GitHub Actions and Airflow. Docker and Kubernetes, Model design, development, deployment and maintenancePreferred skill sets:‘Good to have’ knowledge, skills and experiences · Experience with Front end applications such as StreamlitYears of experience required:4 Years to 12 yearsEducation qualification:BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)Education Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Bachelor of TechnologyDegrees/Field of Study preferred:Certifications Required SkillsPython (Programming Language), PyTorch, TensorflowOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more}Desired Languages Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date

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