App Dev
5-7 years
India

ML- AI Engineer

We are hiring a, high-agency ML/AI Engineer to architect and deliver cutting-edge AI solutions for our enterprise clients. This isn't just another ML engineering role - you'll be the technical owner driving complex AI projects end-to-end, from ideation through production deployment and ongoing monitoring and improvement. You'll spend your time: 50% building robust, scalable AI systems that solve real business problems 25% researching and prototyping innovative solutions using the latest AI advances 25% collaborating with clients and stakeholders to translate business needs into technical solutions

We are hiring a, high-agency ML/AI Engineer to architect and deliver cutting-edge AI solutions for our enterprise clients. This isn't just another ML engineering role - you'll be the technical owner driving complex AI projects end-to-end, from ideation through production deployment and ongoing monitoring and improvement.

You'll spend your time:

  • 50% building robust, scalable AI systems that solve real business problems
  • 25% researching and prototyping innovative solutions using the latest AI advances
  • 25% collaborating with clients and stakeholders to translate business needs into technical solutions
Work Experience
5-7 years
Published on
26/05/2025
Skills
Python, ML, AI, LLM, Machine Learning, RAG, Scikit-Learn

About thinkbridge

thinkbridge is how growth-stage companies can finally turn into tech disruptors. They get a new way there – with world-class technology strategy, development, maintenance, and data science all in one place. But solving technology problems like these involves a lot more than code. That’s why we encourage think’ers to spend 80% of their time thinking through solutions and 20% coding them. With an average client tenure of 4+ years, you won’t be hopping from project to project here – unless you want to. So, you really can get to know your clients and understand their challenges on a deeper level. At thinkbridge, you can expand your knowledge during work hours specifically reserved for learning. Or even transition to a completely different role in the organization. It’s all about challenging yourself while you challenge small thinking.

thinkbridge is a place where you can:

  1. Think bigger – because you have the time, opportunity, and support it takes to dig deeper and tackle larger issues.
  2. Move faster – because you’ll be working with experienced, helpful teams who can guide you through challenges, quickly resolve issues, and show you new ways to get things done.
  3. Go further – because you have the opportunity to grow professionally, add new skills, and take on new responsibilities in an organization that takes a long-term view of every relationship.

thinkbridge.. there’s a new way there. ™

Why This Role Is Different
  • True Ownership: You'll be the technical architect making critical design decisions, not just implementing someone else's vision
  • Production Focus: We need someone who's deployed models/systems AND kept them running - monitoring drift, handling failures, improving performance
  • Diverse Projects: From GenAI applications (65%) to classical ML solutions (35%), across Retail, HRTech, Fintech, and Healthcare domains
  • Technical Architecture: Design systems and guide implementation decisions without the overhead of formal people management

What is expected of you?

As part of the job, you will be required to  

  • Architect end-to-end ML/AI solutions that actually work in production
  • Build and maintain production-grade systems with proper monitoring, alerting, and continuous improvement
  • Make strategic technical decisions on approach, tools, and implementation
  • Translate complex AI concepts into business value for clients
  • Set technical direction for project teams through architecture and best practices
  • Stay current with AI research and identify practical applications for client problems

If your beliefs resonate with these, you are looking at the right place!  

  • Accountability – Finish what you started.
  • Communication – Context-aware, pro-active and clean communication.
  • Outcome – High throughput.
  • Quality – High-quality work and consistency.
  • Ownership – Go beyond.

Requirements

Must have technical skills

  • Strong Python proficiency with production ML experience
  • Hands-on experience deploying AND maintaining ML systems in production
  • Experience with both GenAI (LLMs, RAG systems) and classical ML techniques
  • Understanding of ML monitoring, drift detection, and model lifecycle management
  • Cloud deployment experience (Azure knowledge helpful; AWS experience highly valued)
  • Containerization and basic MLOps practices

Good to have technical skills

  • Experience fine-tuning open-source models to match/beat proprietary models
  • Advanced MLOps (CI/CD for ML, A/B testing, feature stores)
  • Published work (papers, blogs, open-source contributions)
  • Experience with streaming/real-time ML systems

What We're Really Looking for

Beyond technical skills, we need someone who:

  • Takes initiative and drives projects without waiting for instructions
  • Has actually felt the pain of their own technical decisions in production
  • Can explain "why this approach" to both engineers and business stakeholders
  • Thinks critically about when to use (and when NOT to use) GenAI
  • Has opinions about ML best practices based on real experience

Our Flagship Policies and Benefits

  • Work from anywhere!
  • Flexible work hours
  • All leaves taken are paid leaves
  • Family Insurance
  • Quarterly Collaboration Week

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