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:
- Think bigger – because you have the time, opportunity, and support it takes to dig deeper and tackle larger issues.
- 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.
- 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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