ML - AI Engineer

We are hiring a Machine Learning / AI Engineer at thinkbridge, where you will lead the development and deployment of advanced AI and machine learning models, combining deep technical expertise in traditional ML, data science, and deep learning. This role emphasizes comprehensive technical skills and strategic oversight, including model fine-tuning, understanding and enhancing model architectures, and integrating cutting-edge research into robust, scalable production solutions. You will also oversee the deployment, monitoring, and continuous improvement of open-source and proprietary models for our enterprise clients and internal products.

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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.

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Why This Role Is Different

At thinkbridge, we operate at the intersection of innovation, client success, and product excellence. This senior role empowers you to leverage your extensive ML and AI expertise to directly influence our strategic direction, drive innovation in diverse industry domains, and develop transformative solutions. Your leadership will set high technical standards, shape new AI-driven product offerings, and deliver measurable, outcome-oriented results aligned with our core values of Outcomes, Quality, Ownership, Accountability, and Communication.

Join us to lead impactful, cutting-edge AI projects that genuinely transform client businesses and advance thinkbridge's strategic growth.

What is expected of you?

As part of the job, you will be required to

• Advanced Model Development & Optimization

  : Build, fine-tune, and optimize traditional machine learning and deep learning models to deliver scalable, production-grade solutions across multiple domains (NLP, Vision, Audio).

• Research & Technical Leadership

  : Stay current with state-of-the-art machine learning and deep learning research, translating complex theoretical knowledge into practical, impactful business applications.

• Strategic Deployment & Monitoring

  : Lead the development of sophisticated deployment strategies and robust monitoring frameworks, ensuring continuous performance evaluation and iterative improvement.

• Cross-Functional Collaboration

  : Partner closely with data engineers, AI solutions engineers, software developers, and business leaders to align technical decisions with strategic business outcomes.

• Technical Mentorship

  : Guide junior engineers and promote high engineering standards, best practices, and continuous learning within the team.

• Comprehensive Documentation & Communication

  : Clearly document and communicate complex technical solutions, methodologies, and results to stakeholders across the organization.

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

• Educational Background: Background in Computer Science, Data Science, Statistics, Mathematics, or a related technical discipline.
• Technical Mastery: 4+ years of hands-on experience developing, deploying, and optimizing machine learning and deep learning models. Proficient in Python and libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, and familiarity with cloud platforms like AWS, Azure, or GCP.
• Strong Data Science Fundamentals: Deep understanding of traditional machine learning techniques, statistical analysis, predictive modeling, and advanced data science concepts.
• Deep Learning Expertise: Proven ability to implement and fine-tune complex neural network architectures, including transformer-based models, CNNs, and RNNs. Production expertise highly desirable.
• Strategic Problem-Solving: Demonstrated ability to address ambiguous problems strategically, creatively, and analytically, driving measurable business outcomes.
• Excellent Communication Skills: Ability to clearly articulate technical solutions and insights to diverse stakeholders, from engineers to executives.
• Proven Track Record: Experience delivering AI-driven solutions to production, demonstrating tangible impact and continuous improvement through data-driven insights.

Our Flagship Policies and Benefits:

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