Infogain Hiring AI / ML Developer (Standard) – Pan India | Apply Online
Infogain Hiring AI / ML Developer (Standard) – Pan India
Posted by JobsForAll
Company Overview
Infogain is a global digital engineering and consulting organization that helps enterprises accelerate innovation through data, cloud, and AI-driven solutions. With a strong focus on advanced analytics, machine learning, and modern engineering practices, Infogain partners with global clients to solve real-world business problems at scale.
The company is known for building production-grade AI solutions that combine deep technical expertise with a strong understanding of business outcomes.
Job Summary
Infogain is looking for an experienced AI / ML Developer (Standard) to join its advanced analytics and Generative AI practice. This role is ideal for professionals who enjoy working on complex real-world problems and transforming cutting-edge AI research into scalable, production-ready solutions.
You will design, build, and deploy AI/ML and Generative AI solutions using Python and modern ML frameworks, collaborating closely with cross-functional teams and mentoring junior members.
💭 JobsForAll Note: This role is best suited for AI professionals who want to move beyond experiments and work on real, enterprise-scale Generative AI solutions such as RAG systems, multi-agent frameworks, and evaluation pipelines.
Eligibility Criteria
- Bachelor’s degree in Computer Science or related field OR Master’s degree in Statistics, Economics, or Operations Research
- 4.5–6 years (or relevant senior-level exposure) in Analytics / Data Science / AI roles
- Strong proficiency in Python for Data Science and AI development
- Hands-on experience with AI/ML and Generative AI solutions
- Working knowledge of cloud platforms (AWS, Azure, or GCP)
- Good understanding of SQL and data handling techniques
Job Details
| Job Role | AI / ML Developer (Standard) |
|---|---|
| Company | Infogain |
| Location | Noida, Gurugram, Bengaluru, Mumbai, Pune (Any Infogain Base Location) |
| Employment Type | Full-Time |
| Experience | 4.5 – 6 Years |
| Primary Skills | AI/ML, Generative AI, Python, TensorFlow, PyTorch |
Key Responsibilities
- Translate business requirements into actionable AI/ML solutions
- Design and implement scalable machine learning and GenAI pipelines
- Build and deploy RAG-based and multi-agent AI frameworks
- Develop production-ready AI models and ensure performance monitoring
- Lead proof-of-concept initiatives and end-to-end AI projects
- Work with structured and unstructured data, handling ETL and data quality issues
- Document solutions, architecture, and success metrics
- Conduct code reviews and mentor junior data scientists
Advanced Technical Exposure
- Prompt engineering and advanced RAG techniques
- Knowledge-Graph–based AI systems
- Fine-tuning models using LoRA / QLoRA
- Evaluation frameworks for Generative AI (G-Eval, custom metrics)
- NLP, Deep Learning, Ensemble methods, and time-series modeling
- Big Data tools like Spark, Hadoop, and Hive (good to have)
Who Should Apply
- AI/ML professionals working on real-world ML or GenAI systems
- Developers looking to specialize in enterprise Generative AI solutions
- Professionals interested in mentoring and technical leadership
- Candidates comfortable owning projects end-to-end
Who Should Not Apply
- Freshers or entry-level candidates without AI/ML exposure
- Professionals looking only for research or academic roles
- Candidates without hands-on Python or ML framework experience
Career Growth & Learning Opportunities
This role opens pathways to grow into Senior AI Architect, GenAI Lead, Principal Data Scientist, or AI Consulting roles. You will gain exposure to large-scale enterprise use cases, cutting-edge GenAI architectures, and cross-industry AI deployments.
Compensation & Transparency Note
Infogain offers a competitive compensation package aligned with market standards for AI/ML professionals. Final salary is based on experience, skill depth, and interview performance. Additional benefits and incentives are discussed during the offer stage.
Selection Process
- Online application
- HR screening
- Technical interview(s)
- Case study or problem-solving discussion
- Final managerial round
- Offer & onboarding
FAQs – Frequently Asked Questions
Is this role focused only on Generative AI?
While Generative AI is a key focus, the role also involves classical ML, NLP, data engineering, and production deployment.
Is cloud experience mandatory?
Yes. Hands-on exposure to at least one cloud platform (AWS, Azure, or GCP) is expected.
Does Infogain support upskilling?
Yes. Infogain encourages continuous learning through hands-on projects, internal training, and exposure to new AI technologies.
References & Resources
- Artificial Intelligence Career Roadmap
- Data Science Career Roadmap
- AI/ML Career Roadmap – Complete Guide
- Top IT Skills in Demand
- Resume Writing Tips for Experienced Professionals
- Job Safety & Scam Awareness
Disclaimer
Company Disclaimer: Infogain conducts recruitment only through its official website and authorized hiring partners. No fees are charged at any stage of the hiring process.
JobsForAll Disclaimer: JobsForAll shares verified job opportunities for informational purposes only and never asks candidates for money or personal financial details.
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