Machine Learning Engineer to drive Persona’s large-scale ML infrastructure and facilitate the robot learning effort.
Compensation
We offer competitive compensation, a performance-based bonus, 100% employer covered medical benefits for most healthcare plans, early-stage equity, competitive PTO, and company-wide paid winter break between December 24th and January 2nd.
Responsibilities
Contribute to Persona’s large-scale ML software stack across data, training, and evaluation.
Design and implement the ML software infrastructure with thoughtful abstraction and scalability.
Work with the ML team to craft and execute a comprehensive plan for the development of machine learning models.
Develop comprehensive test suites to ensure correct and performant execution of the ML pipelines.
Leverage cloud platforms for flexible compute capacity, data management, and task automation.
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.
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 development and implementation of AI models to address complex challenges.
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.
Locations (2)
Coimbatore, Tamil Nadu, India
Bengaluru, Karnataka, India
Responsibilities
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with stakeholders to understand requirements and translate them into technical solutions.
Continuously research and evaluate emerging AI technologies to enhance project outcomes.
Develop applications and systems that utilize AI tools, cloud AI services, and on-prem pipelines with production-ready quality, including generative AI models.
Locations (2)
Pune, Maharashtra, India
Bengaluru, Karnataka, India
Responsibilities
Design and build advanced AI applications
Integrate cloud-based AI services or on-premises pipelines
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Applies GenAI models as part of the solution.
Locations (2)
Indore, Madhya Pradesh, India
Bengaluru, Karnataka, India
Responsibilities
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with team members to enhance AI application performance and reliability.
Assist in documenting technical processes and best practices for knowledge sharing.
Requirements
15 years full time education
Nice to have: GenAI models
Nice to have: deep learning
Nice to have: neural networks
Nice to have: chatbots
Skills
AI / ML Engineer
Accenture Infrastructure and Capital Projects, LLC · Posted Nov 9, 2026
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.
Responsibilities
Design and build advanced AI applications and systems
Manage end-to-end application pipelines
Integrate generative AI models into projects
Develop neural network architectures
Implement intelligent systems such as chatbots and image processing tools
A high-impact, engineering-led adoption role within the APAC AI Center of Excellence driving innovation in Enterprise and Sovereign AI by writing production-grade code, architecting systems, and upstreaming features to global open-source communities.
Responsibilities
Embed with strategic customers and partners to resolve deep-seated engineering blockers like SSO, legacy data pipelines, and network isolation.
Architect technical strategy and design of software solutions across multiple subsystems.
Establish, maintain, and monitor testing practices for large-scale AI systems.
Rapidly prototype and develop custom, secure platform integrations including RAG pipelines and AI agent architectures.
Harden POCs and MVPs into scalable production architectures.
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