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.
Locations (2)
Hyderabad, Telangana, 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.
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.
Locations (2)
Pune
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 model performance and application scalability.
Assist in documenting technical processes and sharing knowledge with peers to foster a learning environment.
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based AI services or on-premises application pipelines to deliver solutions that meet production standards. The work often includes applying generative AI models and exploring various AI domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to ensure seamless deployment and continuous improvement of AI-driven solutions is a key aspect of the daily routine.
Locations (2)
Pune, Maharashtra, 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 model performance and application scalability.
Assist in documenting technical processes and sharing knowledge with peers to foster a learning environment.
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.
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 project requirements and translate them into technical solutions.
Continuously research and evaluate emerging AI technologies to enhance existing systems.
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.
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.
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.
Supports Factory of the Future and Industry 4.0 initiatives by leveraging data, analytics, and AI technologies to improve manufacturing efficiency, quality, and operational performance.
Compensation
$90,000 - $125,000 annual compensation
Responsibilities
Leads industry 4.0 and AI initiatives by identifying, prioritizing, and implementing data-driven solutions that optimize manufacturing processes across molding, assembly, and co‑extrusion processes.
Collaborates with cross‑functional teams including engineering, operations, IT, and automation teams to integrate digital technologies and analytics into production systems.
Develops and maintains data infrastructure including ETL pipelines, databases, SQL queries, and data environments to support manufacturing analytics and AI applications.
Collects, validates, and manages production data from multiple sources, including PLCs, HMIs, sensors, and enterprise systems, ensuring data accuracy and integrity.
Designs, develops, and optimizes machine learning and AI models to improve quality, productivity, predictive maintenance, process control, and operational efficiency.
Requirements
Bachelor's degree in Computer Science, Engineering, Data Science, or related discipline