Field Engineer - AI/ML

Ellicium Solutions; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Ellicium Solutions in Pune seeks a customer-facing Field Engineer to implement, deploy, troubleshoot, and support AI/ML solutions for enterprise customers. You will work closely with clients and engineering teams to translate requirements into technical implementations and ensure successful deployments.

The role demands strong communication, hands-on technical depth across AI/ML systems, cloud concepts, DevOps practices, and willingness to travel to customer sites; on-call support is expected.

Qualifications

• 5-8 years of experience in customer-facing engineering roles.
• Experience with AI/ML deployment in production.
• Strong communication and stakeholder management.
• Willingness to travel to customer locations.

Responsibilities

• Collaborate with customers to implement AI/ML solutions.
• Serve as technical representative in customer environments.
• Support deployment, configuration, and troubleshooting.
• Translate customer requirements into technical implementations.
• Provide guidance throughout the implementation lifecycle.
• Available for on-call support; travel to customer sites as needed.

Skills

AI/ML systems

ML deployment

Cloud & infrastructure

DevOps & CI/CD

Customer-facing

Communication skills

Tools

Agentic AI

CI/CD tools

Job description

Experience:

5-8 years

Location:

Pune

Role Overview:

We are looking for a customer-facing Field Engineer who will work closely with enterprise customers and engineering teams to implement, deploy, troubleshoot, and support AI/ML solutions. The role requires strong technical depth along with excellent communication, requirement-gathering, and customer-management capabilities.

Key Responsibilities:

• Ability to co-work with Agentic AI model, Optimizing processes agnatically [agentic optimizing engineering]
• Work closely with customers and act as a technical representative within customer environments
• Support implementation and deployment of AI/ML solutions and ML pipelines
• Work with customer technical teams to understand requirements and identify appropriate solutions
• Gather, analyse, and translate customer requirements into technical implementations
• Support deployment, configuration, troubleshooting, and operational activities
• Work closely with ML Engineers, Infrastructure Engineers, and other technical teams
• Participate in multiple customer projects and engagements
• Provide technical guidance and support throughout the implementation lifecycle
• Communicate technical concepts and solution approaches to customers and business stakeholders
• Support customer-specific implementations and resolve technical issues
• 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
• Exposure to ML deployment and production environments
• Understanding cloud and infrastructure concepts
• Familiarity with deployment, DevOps, and CI/CD practices
• Experience working with enterprise/customer-facing technical implementations
• Ability to troubleshoot technical issues across application, ML, and infrastructure layers

Required Experience:

• Experience working on multiple projects/customer engagements
• Prior client-facing experience is strongly preferred
• Experience interacting with technical teams and business stakeholders

Key Soft Skills:

• Excellent communication skills
• Strong customer-facing and stakeholder-management skills
• Strong requirement-gathering capability
• Ability to explain complex technical concepts clearly
• Ability and willingness to travel to customer locations as required

Travel:

• Willingness to travel is mandatory, as the role may require working from customer premises within or outside India