This is a remote position.
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
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
- 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
Benefits
- Work from anywhere!
- Flexible work hours
- All leaves taken are paid leaves
- Family Insurance
- Quarterly Collaboration Week
Skills Required
- Strong Python proficiency with production machine learning experience
- Hands-on experience deploying and maintaining machine learning systems in production
- Experience with Generative AI, large language models, and retrieval-augmented generation systems
- Experience with classical machine learning techniques
- Understanding of machine learning monitoring, drift detection, and model lifecycle management
- Cloud deployment experience; Azure knowledge is helpful and AWS experience is highly valued
- Containerization and basic MLOps practices
- Experience fine-tuning open-source models
- Advanced MLOps experience, including ML CI/CD, A/B testing, and feature stores
- Published papers, blogs, or open-source contributions
- Experience with streaming or real-time machine learning systems
What We Do
The year was 2014. Software development was becoming increasingly commoditized. Speed and cost issues were taking priority over strategy, execution, and long-term scalability. Growth-stage companies were getting caught in the middle of it all. If they turned to one of the many smaller dev shops that emerged, they wouldn’t get the strategic capabilities and thinking needed to make their project successful. But if they went with a big consulting firm, the costs would be prohibitive. That’s when a group of consulting and technology veterans came together over a new idea for software development. They knew that developers would get better results if they had more time to think through their projects before rushing straight to coding. And they wanted to start an employee-focused company that was all about enabling developers to do their best work. So they created a new model for outsourced development where developers would spend 80% of their time thinking about the solution and 20% coding it. This would give smaller companies the strategic thinking needed to compete with much larger corporations. Today, thinkbridge is how mid-market companies turn into tech disruptors, drive growth, and increase their valuations. Middle market leaders are no longer stuck between the limitless costs of big consulting firms and the limited capabilities of smaller dev shops. With a unique “think bigger, move faster, go further” approach to technology innovation, thinkbridge has achieved a client NPS rating in the 90s and a client retention rate of over 90%. thinkbridge. There’s a new way there Think Bigger | Move Faster | Go Further
