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AI / ML Engineer
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AI / ML Engineer
AccentureThis job is no longer accepting applications
Job Description
Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Python Frameworks
Good to have skills : NA
Minimum 5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires integrating these solutions into robust production pipelines, whether hosted on cloud platforms or on-premises environments. The engineer actively works on implementing generative AI models and may engage in diverse areas such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with various teams to ensure seamless deployment and operational excellence is a key aspect of daily activities, fostering innovation and efficiency in AI-driven projects.
Roles & Responsibilities:
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Python Frameworks
Good to have skills : NA
Minimum 5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires integrating these solutions into robust production pipelines, whether hosted on cloud platforms or on-premises environments. The engineer actively works on implementing generative AI models and may engage in diverse areas such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with various teams to ensure seamless deployment and operational excellence is a key aspect of daily activities, fostering innovation and efficiency in AI-driven projects.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the design and implementation of AI and machine learning solutions to meet project requirements.
- Mentor junior team members to support their professional growth and skill development.
- Ensure adherence to best practices in coding, testing, and deployment within AI projects.
- Must To Have Skills: Proficiency in Python Frameworks.
- Strong experience with cloud AI services and deployment pipelines.
- Knowledge of generative AI models and their practical applications.
- Familiarity with deep learning architectures and neural network design.
- Ability to develop and optimize AI solutions for production environments.
- Experience with chatbot development and image processing techniques.
- The candidate should have minimum 5 years of experience in Python Frameworks.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
More Info
Key Skills
Python Frameworks
Image processing techniques
Deep learning architectures
Neural network design
Cloud AI services
Chatbot development
Generative AI models
About Company
Skills:
Image Processing, Data Science, Neural Networks, AI and machine learning models, generative AI models, deep learning techniques, cloud AI services, deployment pipelines
Skills:
Databases, Apis, Microservices, Python, Machine Learning, Predictive Analytics, Computer Vision, AI application architecture, LLMs, cloud platforms, Agentic AI solutions, AI integrations, Generative AI applications, AI ML frameworks, Forecasting, Ontology and Knowledge Representation, embedding, RAG vector databases, AI-powered search, IoT Connected Systems, Knowledge Graphs
Skills:
Machine Learning, Deep Learning, Microservices, Python, CrewAI, Generative AI, Agentic AI frameworks, Prompt engineering, LLMs, LangGraph, AutoGen, Vector Databases, Model evaluation techniques, RAG architectures
Skills:
Sql, Python, tree-based models, R, observability monitoring tools, Generative AI tooling, time-series forecasting, classical ML modeling