Lead Engineer Ai/ML

10 years

0 Lacs

Posted:1 month ago| Platform: Linkedin logo

Apply

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Experience Level:

Location:

Positions:

Budget:

Notice Period:

Client & Payroll:

Work Mode:

Interview Mode:

Role Overview

AI/ML Lead Engineer

machine learning, knowledge graph technologies, and software engineering processes

Key Responsibilities

  • Architect and develop an

    AI/ML-based system

    to detect and analyze year-over-year differences in IRS TRC publications.
  • Build and implement

    knowledge graphs

    to model relationships between TRC changes and impacted code modules.
  • Collaborate closely with

    tax domain experts, software engineers, and DevOps teams

    to ensure seamless integration into workflows.
  • Define and enforce

    engineering best practices

    including CI/CD, version control, testing, and model governance.
  • Manage the

    end-to-end lifecycle

    of the solution—from data ingestion and model training to deployment and monitoring.
  • Ensure

    scalability, reliability, and performance

    of deployed systems in production.
  • Mentor junior engineers and foster a

    culture of technical excellence and innovation

    .

Required Skills & Experience

  • 8+ years in

    software engineering

    , with at least 5 years in

    AI/ML solution delivery

    .
  • Strong expertise in

    Python, TensorFlow/PyTorch, and ML Ops frameworks

    .
  • Hands-on experience with

    Knowledge Graph technologies

    (Neo4j, RDF, SPARQL, GraphQL).
  • Proficiency in

    NLP techniques

    for document comparison and semantic analysis.
  • Solid understanding of

    software architecture, microservices, and API design

    .
  • Strong leadership skills with the ability to

    deliver complex cross-functional projects

    .
  • Excellent communication and stakeholder management abilities.
  • Familiarity with

    tax-related data structures (IRS TRCs)

    is a plus.

Preferred Qualifications

  • Experience with

    regulatory or compliance-driven AI applications

    .
  • Exposure to

    code analysis tools

    and static/dynamic code mapping techniques.
  • Hands-on experience with

    cloud platforms (Azure, AWS, GCP)

    and

    containerization (Docker, Kubernetes)

    .
  • Contributions to

    open-source AI/ML or graph-based projects

    .


Mock Interview

Practice Video Interview with JobPe AI

Start DevOps Interview
cta

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

coding practice

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now

RecommendedJobs for You