AI/ML Computational Science Manager
Designation: AI/ML Computational Science Manager
Qualifications:Any Graduation
Years of Experience:10 – 13 years
Language - Ability:English(International) - Intermediate
About Accenture
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What would you do? As a part of the AI team, you will be involved in building assets by leveraging the latest technologies and advanced AI techniques. You will be responsible for driving the development of cutting-edge AI solutions using Machine Learning, Deep Learning, NLP, and GenAI-based techniques. You will be involved in building innovative assets that impact the efficiency of business processes and differentiate us from the competition. You will be required to leverage world-class frameworks, employ standard development practices, and design generic products/solutions. As an AI Lead, you will drive innovation through patenting, creating new assets, and enhancing existing ones. The ideal candidate should be proficient in storytelling and have built multiple techno-commercial solutions involving several AI frameworks and techniques. ________________________________________
What are we looking for? • Data Analytics, especially Unstructured Data • Natural Language Processing (NLP) • Machine Learning, Deep Learning • Large Language Models (LLMs) – Cloud and Open Source • Python (Programming Language) • Ability to perform under pressure • Ability to establish strong client relationships • Ability to manage multiple stakeholders • Ability to understand business challenges • Drive Business Impact • Understanding of design patterns • Exposure to designing large product architectures • Agile process / Sprint Planning / Product Management • DevOps and MLOps (e.g., MLflow, DVC, Kubeflow, SageMaker Pipelines) • Cloud Technologies (AWS, Azure, GCP – including SageMaker, Vertex AI, Azure ML) • Good understanding of SQL and NoSQL databases • Strategic Planning • Passion for staying current with emerging technologies in AI and ML (e.g., LangChain, LlamaIndex, vector databases like Pinecone/FAISS, Hugging Face Transformers, Prompt Engineering, ONNX, FastAPI, Docker, Kubernetes, TensorFlow Serving, TorchServe, Arize AI, WhyLabs)
Roles and Responsibilities: •• Analyze and solve moderate to complex problems using AI • Identify and build end-to-end AI assets including industrialization of assets • Drive innovation via patents and publications • Manage, mentor, and guide teams • Articulate leadership goals and drive the team to reach their vision • Follow best practices of AI asset development, including CI/CD, model monitoring, and responsible AI principles ________________________________________
Bengaluru
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