Technical Lead

Role:

Experience:

Work Mode:

• Primary Skills:

  Python, FastAPI, Generative AI, Agentic AI (Langgraph, Langflow), Prompt engineering, Data science, Machine learning, Natural language processing, NoSQL Database, SQL

Job Summary:

AI/ML Technical Lead

Key Responsibilities:

• Architect and design

  end-to-end AI/ML solutions

  using Python, FastAPI, and leading ML frameworks.
• Develop and implement

  Generative AI

  and

  Agentic AI

  solutions using platforms like

  LangGraph

  and

  LangFlow

  .
• Lead

  Prompt Engineering

  initiatives to optimize LLM outputs for real-world business use cases.
• Drive innovation in

  Machine Learning

  ,

  Natural Language Processing (NLP)

  , and

  Data Science

  practices.
• Architect and manage

  data workflows

  , including integration with SQL and NoSQL databases.
• Collaborate with data engineering teams to build scalable

  data pipelines

  ,

  data warehousing

  , and

  big data solutions

  .
• Ensure

  MLOps alignment

  for model deployment, monitoring, and lifecycle management.
• Provide

  technical leadership

  and thought leadership on AI/ML technologies, best practices, and emerging trends.
• Partner with business stakeholders to translate requirements into

  scalable AI/ML architectures

  .
• Mentor and guide developers, data scientists, and junior architects on AI/ML best practices

Required Skills:

• 10+ years

  of IT experience, including

  5+ years Python ,

  2 years AI/ML and

  2+ years

  in Generative AI solutions.

• Proficiency in Python

  (FastAPI and related frameworks).
• Strong expertise in

  Generative AI

  ,

  Agentic AI

  (LangGraph, LangFlow), and

  Prompt Engineering

  .
• Proven track record in

  Machine Learning

  ,

  NLP

  , and

  Data Science

  solution delivery.
• Hands-on experience with

  SQL

  and

  NoSQL

  databases.
• Solid understanding of

  scalable data systems

  and

  distributed computing

  .

Preferred Qualifications:

• AWS Cloud

  experience and exposure to AWS AI/ML services.
• Familiarity with

  MLOps frameworks

  and tools for model lifecycle management.
• Experience with

  Big Data technologies

  and

  Data Warehousing

  solutions.
• Strong understanding of

  CI/CD pipelines

  and

  containerization

  for AI/ML workloads (Docker/Kubernetes).

About IGT Solutions:

IGT Solutions is a next-gen customer experience (CX) company, defining and delivering transformative experiences for the global and most innovative brands using digital technologies. With the combination of Digital and Human Intelligence, IGT becomes the preferred partner for managing end-to-end CX journeys across Travel and High Growth Tech industries. We have a global delivery footprint, spread across 30 delivery centers in China, Colombia, Egypt, India, Indonesia, Malaysia, Philippines, Romania, South Africa, Spain, UAE, the US, and Vietnam, with 25000+ CX and Technology experts from 35+ nationalities.

IGT's Digital team collaborates closely with our customer’s business & technology teams to take solutions faster to market while sustaining quality while focusing on business value and improving overall end-Customer Experience. Our offerings include industry solutions as well as Digital services. We work with leading global enterprise customers to improve synergies between business & technology by enabling rapid business value realization leveraging Digital Technologies. These include lifecycle transformation & rapid development / technology solution delivery services delivered leveraging traditional as well as Digital Technologies, deep functional understanding and software engineering expertise.

IGT is ISO 27001:2013, CMMI SVC Level 5 and ISAE-3402 compliant for IT, and COPC® Certified v6.0, ISO 27001:2013 and PCI DSS 3.2 certified for BPO processes. The organization follows Six Sigma rigor for process improvements.

It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.