AI/ ML Engineer

The typical candidate will have experience working in enterprise software system in a cross-collaborative environment. The candidate is expected to work closely with stakeholders including Product Managers and Architects, to help shape the requirements, influence the solution, and explain the same to the team. The candidate needs to be a team player and should be willing to take up responsibilities as necessitated by project requirements.

Key Responsibilities

• Communication
  • Clearly articulate engineering point of view in calls with stakeholders including Product Managers and Architects
• Analysis
  • Break down requirements into technical asks related to the system at hand
  • Work with Product Managers to ensure backlog, maintain story hygiene, and ensure stories are implementation ready.
• Solutioning
  • Collaborate with architects and designers to refine requirements and validate feasibility.
  • Call out gaps in requirements engage with stakeholders including Product Managers, Architects to get them addressed.
• Execution
  • Convert solution designs to working deliverables
  • Ensure high quality deliverables with clear focus on design alignment, code, code reviews,
  • Represent team in periodic calls with stakeholders
• Hypercare & Post Go-Live Management
  • Support post-go-live stabilization during the hypercare period.
  • Triage incidents, track resolution, and report on hypercare performance.

Preferred Qualifications

• Engineer with 8-10 yrs of software engineering experience, including 3–5 years in AI/ML system design and delivery.
• Excellent communication and stakeholder engagement skills.
• Expertise of core AI/ML techniques and algorithms
• Expertise in Python, OOP, Design Patterns, time and space-efficient algorithms
• Evaluate and implement ML models in cloud environments.
• Understanding data architecture, APIs and distributed systems
• Proficiency in ServiceNow Platform including Scripting, integrations, ACLs, Flow designer, Now Assist will be a plus
• Able to understand / clarify requirements and work on delivery of modules with minimal dependency