Job Title

We are hiring a ML Engineer , who would build, deploy, and maintain production-ready ML and GenAI solutions that solve real business problems. Own the end-to-end ML lifecycle from model development and deployment to monitoring, optimization, and scalability while collaborating closely with engineering and business teams to deliver measurable impact.About thinkbridgeWe are a global digital product development firm that helps growth-stage companies gain the technology sophistication and maturity of leading modern digital businesses. We differentiate ourselves by delivering exceptional quality at scale and speed with our thinkstack accelerators. We started with the vision of being able to build amazing software fast. A new way to build software without any of the compromises that currently plague software development. A new way to focus on the outcomes instead of the tech, tools, methodologies, processes and vanity artifacts.Why is thinkbridge a great place to work?At thinkbridge, we are not just paving the way for exceptional digital experiences; we're also redefining the future of work. Our "Remote First" philosophy allows you to take a dive into a world where work doesn’t tie you down. We’re pioneering a Remote First approach, ensuring you’re connected, no matter where you are. We foster and encourage a diverse and inclusive work culture where employees feel valued, respected, are encouraged to voice their ideas, have equal opportunities and are treated fairly. We encourage and provide for our employees' health and well-being initiating wellness programs, provide mental health resources, and ergonomically designed workspaces to support employees’ physical and mental health. We understand the value of work-life balance, hence we follow Flexible Work Hours, to ensure they can rejuvenate besides managing their personal commitments without much hassle. At thinkbridge, it's more than just a job. It's a journey of innovation, growth, and balance. Join us in shaping the future!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.We live by five core values: Outcomes, Quality, Ownership, Accountability, and Communication. This role embodies all five - you'll own outcomes, maintain high technical standards, and communicate effectively across all levels.Experience Level: Mid-level Machine Learning Engineer with 2– 4 years of experience, including building, deploying, and maintaining production-grade ML/AI systems. Strong in Python, ML/DL, and GenAI, with hands-on exposure to cloud platforms and MLOps, and the ability to translate business problems into scalable solutions.Role Overview:What You'll Do• 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 problemsWhat We're Looking ForMust-Haves:• 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.Nice-to-Haves:• 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 systemsBenefits;What We Offer• Dedicated Learning & Development Budget: Fuel your growth with a budget dedicated solely to learning.• Cutting-Edge Projects: Work on exciting projects with the latest technologies• Employee-Friendly Leave Policy: Recharge with ample leave options designed for a healthy work-life balance.Work Environment• Remote-First Culture: At thinkbridge, we all work from wherever we choose but come together during set hours to collaborate. Using simple online tools, we stay connected and get great work done.• Leave & Time-off – All leaves taken are paid leaves. And all the leave and time off are likely pre-approved leaves intended for planned vacations, personal commitments, or any other needs requiring prior approval.• Comprehensive Medical & Term Insurance: Full coverage for you and your family peace of mind.• Work-From-Workweek (WWW): Twice or thrice a year, we come together for One-week sprints to collaborate in person, foster stronger team bonds, and align on goals. All travel expenses are covered in the form of allowance which is called as work week allowance.• We organize city-wise, company-sponsored local meetups—fun-filled day outings with your colleagues!• At thinkbridge, you get reimbursed for approved certifications and short courses that support your role.• We embrace diversity and ensure equal opportunity for everyone, fostering an inclusive workplace where all voices are valued.Join thinkbridge to be part of a purpose-driven, innovation-led organization that invests in your growth and empowers you to build a brighter future.