.. and feeding information into the global JIRA tickets during pre-sprint planning. Sprint review sessions and capturing images and writing notes for cascading to the other Operations team members. dependencies for Local Epics to Global Epics & knowledge share with other BA’s. Global visioning .. read more
AI Lead with 8-12 years of experience. Location : Pune or Kolkata About the Role We are looking for an AI Engineer Lead who will spearhead our efforts in developing cutting-edge AI solutions. This role involves a blend of technical expertise, leadership, and strategic thinking . Key Skil ls Python Proficiency: Demonstrable experience with Pandas and NumPy, showcasing ability to handle large datasets efficiently. Advanced SQL: Expertise in complex SQL queries for in-depth data analysis. Machine Learning: In-depth understanding of ML algorithms and metrics, with hands-on experience in Gen AI technologies such as GANs, OpenAI, Dall-E, Stable Diffusion, and Langchain Implementation Experience: At least one substantial project involving Gen AI technologies, preferably with a tangible business impact. NLP & Computer Vision: Solid experience in TensorFlow, PyTorch, XGBoost, spaCy, BERT, NLTK, Stanford NLP, scikit-learn, OpenCV, CNN, RNN.MLOps & CICD: Strong concepts in integrating ML models into production environment. Cloud Infrastructure: Good understanding across AWS, Azure, and Google Cloud platforms, with emphasis on ML APIs. Data Security & Governance: Knowledge of data protection and regulatory compliance in the AI/ML . Responsibilit ies: Solution Architecture: Act as a consultant for end-to-end AI/ML solutions, from data handling to technology infrastructure Project Leadership: Guide teams through the AI/ML lifecycle, emphasizing practical application and operational excellence. Model Development & Optimization: Create and refine models to align with business objectives, ensuring efficiency and effectiveness. Data Management: Lead efforts in data exploration, cleaning, acquisition, and preprocessing. Innovation: Extend ML libraries and frameworks, filling gaps to meet project needs. Technical Design & Integration: Oversee the creation and maintenance of APIs, models, and integration pipelines. Data Warehousing: Utilize knowledge of data warehousing techniques to enhance model performance and insights. Communication & Consulting: Employ strong communication skills to collaborate with clients and internal teams, providing expert advice and soluti ons. What We Offer: Opportunities to work on unique datasets and pioneering AI applications. Professional growth through training programs, conferences, and R&D initiatives. A dynamic and inclusive work culture. Application Process: Please submit your CV along with a portfolio or case studies of relevant projects. Expect a multi-stage interview process, including technical assessments.