Field Engineer – AI/ML
- India
نُشرت أول أمس
عن الوظيفة
Experience: 5-8 years
Location: Pune
Role Overview:
We are looking for a Forward Deployed Engineer (FDE) with 5+ years of experience. Work closely with enterprise customers and internal engineering teams to implement, deploy, integrate, and support AI/ML solutions in customer environments.
The FDE will act as a technical bridge between the customer and engineering teams, understanding customer requirements, translating them into technical solutions, supporting deployments, and ensuring successful adoption and operation of the solution.
This is a highly customer-facing role and requires a strong combination of AI/ML technical expertise, deployment knowledge, problem-solving ability, communication skills, and willingness to travel.
Key Responsibilities:
Ability to co-work with Agentic AI model, Optimizing processes agnatically [agentic optimizing engineering]
Work directly with enterprise customers to understand their technical and business requirements
Act as the technical point of contact between customers and internal engineering teams
Gather, analyse, and translate customer requirements into technical solutions
Design, configure, deploy, and support AI/ML solutions and ML pipelines in customer environments
Work closely with ML Engineers, Solution Architects, Infrastructure Engineers, DevOps/SRE teams, and other technical stakeholders
Support implementation and deployment of AI/ML workloads across customer environments
Troubleshoot technical issues across application, ML, infrastructure, and deployment layers
Work with customer technical teams to identify issues, dependencies, and implementation requirements
Participate in solution discussions and provide technical recommendations based on customer requirements
Support proof-of-concepts, pilots, implementations, and production deployments as required
Understand customer environments and ensure the proposed solution is aligned with their technical ecosystem
Coordinate with internal engineering teams to resolve customer issues and remove technical blockers
Communicate implementation status, technical challenges, dependencies, and solutions to customers and internal stakeholders
Support the customer throughout the implementation and deployment lifecycle
Work from customer premises when required
Must be available for on-call support as needed
Ability to collaborate effectively with Agentic AI models
Capability to optimize repetitive processes and workflows using agentic/autonomous engineering approaches
Required Technical Skills:
Strong understanding of AI/ML systems and ML pipelines
Practical experience with deployment and productionisation of ML solutions
Understanding of cloud and infrastructure concepts
Familiarity with CI/CD and DevOps practices
Understanding of application deployment and operational processes
Ability to troubleshoot technical issues across multiple layers of a solution
Exposure to enterprise AI/ML environments and customer implementations
Ability to work across different technical stacks and understand how various components interact
Customer-Facing Responsibilities:
Work directly with customer technical teams and business stakeholders
Conduct technical discussions and requirement gathering sessions
Understand customer pain points and convert them into actionable technical requirements
Explain complex technical concepts in a clear and understandable manner
Build strong relationships with customer stakeholders
Coordinate between customer teams and internal engineering teams
Represent the organisation professionally within customer environments
Required Experience:
Experience working on multiple projects or customer engagements
Prior experience in a client-facing technical role is strongly preferred
Experience working with technical teams and enterprise customers
Experience implementing or supporting AI/ML solutions in production environments is preferred
Soft Skills:
Excellent communication skills with the ability to interact with technical and business stakeholders
Strong requirement-gathering and analytical skills
Strong troubleshooting and problem-solving ability
Customer-oriented mindset
Ability to work independently in dynamic customer environments
Strong collaboration and stakeholder-management skills
Ability to adapt quickly to different customer environments and technical requirements
Travel Requirement:
Willingness to travel is mandatory
The FDE may be required to travel to and work from customer locations within India and potentially outside India, depending on project requirements
Preferred Profile:
Strong AI/ML and deployment understanding
Hands-on experience with ML pipelines
Enterprise/customer-facing implementation experience
Strong troubleshooting capability
Excellent communication and requirement-gathering skills
Ability to collaborate with multiple engineering teams
Willingness to work from customer premises and travel as required
Location: Pune
Role Overview:
We are looking for a Forward Deployed Engineer (FDE) with 5+ years of experience. Work closely with enterprise customers and internal engineering teams to implement, deploy, integrate, and support AI/ML solutions in customer environments.
The FDE will act as a technical bridge between the customer and engineering teams, understanding customer requirements, translating them into technical solutions, supporting deployments, and ensuring successful adoption and operation of the solution.
This is a highly customer-facing role and requires a strong combination of AI/ML technical expertise, deployment knowledge, problem-solving ability, communication skills, and willingness to travel.
Key Responsibilities:
Ability to co-work with Agentic AI model, Optimizing processes agnatically [agentic optimizing engineering]
Work directly with enterprise customers to understand their technical and business requirements
Act as the technical point of contact between customers and internal engineering teams
Gather, analyse, and translate customer requirements into technical solutions
Design, configure, deploy, and support AI/ML solutions and ML pipelines in customer environments
Work closely with ML Engineers, Solution Architects, Infrastructure Engineers, DevOps/SRE teams, and other technical stakeholders
Support implementation and deployment of AI/ML workloads across customer environments
Troubleshoot technical issues across application, ML, infrastructure, and deployment layers
Work with customer technical teams to identify issues, dependencies, and implementation requirements
Participate in solution discussions and provide technical recommendations based on customer requirements
Support proof-of-concepts, pilots, implementations, and production deployments as required
Understand customer environments and ensure the proposed solution is aligned with their technical ecosystem
Coordinate with internal engineering teams to resolve customer issues and remove technical blockers
Communicate implementation status, technical challenges, dependencies, and solutions to customers and internal stakeholders
Support the customer throughout the implementation and deployment lifecycle
Work from customer premises when required
Must be available for on-call support as needed
Ability to collaborate effectively with Agentic AI models
Capability to optimize repetitive processes and workflows using agentic/autonomous engineering approaches
Required Technical Skills:
Strong understanding of AI/ML systems and ML pipelines
Practical experience with deployment and productionisation of ML solutions
Understanding of cloud and infrastructure concepts
Familiarity with CI/CD and DevOps practices
Understanding of application deployment and operational processes
Ability to troubleshoot technical issues across multiple layers of a solution
Exposure to enterprise AI/ML environments and customer implementations
Ability to work across different technical stacks and understand how various components interact
Customer-Facing Responsibilities:
Work directly with customer technical teams and business stakeholders
Conduct technical discussions and requirement gathering sessions
Understand customer pain points and convert them into actionable technical requirements
Explain complex technical concepts in a clear and understandable manner
Build strong relationships with customer stakeholders
Coordinate between customer teams and internal engineering teams
Represent the organisation professionally within customer environments
Required Experience:
Experience working on multiple projects or customer engagements
Prior experience in a client-facing technical role is strongly preferred
Experience working with technical teams and enterprise customers
Experience implementing or supporting AI/ML solutions in production environments is preferred
Soft Skills:
Excellent communication skills with the ability to interact with technical and business stakeholders
Strong requirement-gathering and analytical skills
Strong troubleshooting and problem-solving ability
Customer-oriented mindset
Ability to work independently in dynamic customer environments
Strong collaboration and stakeholder-management skills
Ability to adapt quickly to different customer environments and technical requirements
Travel Requirement:
Willingness to travel is mandatory
The FDE may be required to travel to and work from customer locations within India and potentially outside India, depending on project requirements
Preferred Profile:
Strong AI/ML and deployment understanding
Hands-on experience with ML pipelines
Enterprise/customer-facing implementation experience
Strong troubleshooting capability
Excellent communication and requirement-gathering skills
Ability to collaborate with multiple engineering teams
Willingness to work from customer premises and travel as required