Job Title

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 problems25% researching and prototyping innovative solutions using the latest AI advances25% collaborating with clients and stakeholders to translate business needs into technical solutionsAbout thinkbridgethinkbridge 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 DifferentTrue Ownership: You'll be the technical architect making critical design decisions, not just implementing someone else's visionProduction Focus: We need someone who's deployed models/systems AND kept them running - monitoring drift, handling failures, improving performanceDiverse Projects: From GenAI applications (65%) to classical ML solutions (35%), across Retail, HRTech, Fintech, and Healthcare domainsTechnical Architecture: Design systems and guide implementation decisions without the overhead of formal people managementWhat is expected of you?As part of the job, you will be required toArchitect end-to-end ML/AI solutions that actually work in productionBuild and maintain production-grade systems with proper monitoring, alerting, and continuous improvementMake strategic technical decisions on approach, tools, and implementationTranslate complex AI concepts into business value for clientsSet technical direction for project teams through architecture and best practicesStay current with AI research and identify practical applications for client problemsIf your beliefs resonate with these, you are looking at the right place!Accountability –Finish what you startedCommunication–Context aware, pro-active, and clean communicationOutcome –High throughputQuality –High-Quality work and consistencyOwnership –Go BeyondRequirementsMust have technical skills Strong Python proficiency with production ML experienceHands-on experience deploying AND maintaining ML systems in productionExperience with both GenAI (LLMs, RAG systems) and classical ML techniquesUnderstanding of ML monitoring, drift detection, and model lifecycle managementCloud deployment experience (Azure knowledge helpful; AWS experience highly valued)Containerization and basic MLOps practicesGood to have technical skills Experience fine-tuning open-source models to match/beat proprietary modelsAdvanced MLOps (CI/CD for ML, A/B testing, feature stores)Published work (papers, blogs, open-source contributions)Experience with streaming/real-time ML systemsWhat We're Really Looking for Beyond technical skills, we need someone who:Takes initiative and drives projects without waiting for instructionsHas actually felt the pain of their own technical decisions in productionCan explain "why this approach" to both engineers and business stakeholdersThinks critically about when to use (and when NOT to use) GenAIHas opinions about ML best practices based on real experienceOur Flagship Policies and Benefits: Work from anywhere!Flexible work hoursAll leaves taken are paid leavesFamily InsuranceQuarterly Collaboration Week