Senior Machine learning Engineer
Posted on: December 02, 2025 | Job ID: 99411
Company Name: Bain.com | Team: AI, Insights, & Solutions (AIS)
Division: Analytics, Data, & Research | Technology & Engineering
Location: Bengaluru | Mumbai | New Delhi
Schedule: On-Site (Office-Centric) | Experience Level: 06+ Years
ABOUT BAIN & COMPANY - A WORLD-CLASS WORKPLACE
Bain & Company stands as a beacon of excellence in the global consulting industry, consistently recognised as one of the world's best places to work. Our position as the #1-ranked consulting firm on Glassdoor's Best Places to Work list is no accident—it reflects our unwavering commitment to creating an environment where exceptional talent thrives. Since Glassdoor's inception in 2009, we have maintained a top-four position, a testament to our dedication to our people and our culture.
At Bain, we understand that extraordinary teams are the foundation of our business strategy. These teams don't emerge by chance; they are the result of intentional focus on bringing together a rich tapestry of backgrounds, cultures, experiences, perspectives, and skills. We cultivate a supportive and inclusive work environment where every individual has the opportunity to excel both professionally and personally. When you join Bain, you're not just taking a job—you're becoming part of a community that invests in your success and empowers you to make a meaningful impact on the world's most influential organisations.
THE OPPORTUNITY - SENIOR MACHINE LEARNING ENGINEER
We are seeking a talented Senior Machine Learning Engineer to join our Machine Learning and Data Science team within the AI, Insights & Solutions division. This permanent full-time position is available across three major Indian technology hubs—Bengaluru, Mumbai, and New Delhi—offering you the flexibility to work from a location that best suits your lifestyle while being part of a globally connected team.
In this role, you'll be at the cutting edge of artificial intelligence innovation, designing and building production-grade machine learning systems that solve high-impact business problems. You'll work with state-of-the-art technologies including large language models, agentic AI systems, and advanced ML frameworks to create solutions that drive competitive advantage for our clients across diverse industries. This is an opportunity to combine deep technical expertise with business acumen, working on challenges that transform how organizations leverage data and AI.
YOUR TEAM AND COLLABORATIVE ENVIRONMENT
You'll join our Machine Learning and Data Science experts within the AI, Insights & Solutions team, a dynamic group that forms part of Bain's broader digital capabilities practice. This multidisciplinary environment brings together specialists in analytics, engineering, product management, and design, creating a powerful ecosystem for innovation and problem-solving.
Working in this collaborative setting, you'll leverage your technical expertise alongside business insights to help clients tackle their most transformative challenges. You'll collaborate on integrated teams with general consultants and client stakeholders, developing data-driven strategies and innovative solutions that create real business value. Our approach is human-centric, ensuring that the AI solutions we build are not only technically sophisticated but also practical, usable, and aligned with organizational goals.
The supportive work environment we've cultivated fosters creativity and continuous learning. You'll be surrounded by curious, talented individuals who are passionate about pushing the boundaries of what's possible with machine learning and artificial intelligence. This culture of innovation and knowledge-sharing enables us to consistently deliver exceptional results while growing both individually and as a team.
WHERE YOU'LL FIT WITHIN THE TEAM
As a Senior Machine Learning Engineer at Bain, you'll be a key driver of innovation, integrating AI and data-driven solutions into both strategy and execution. Your work will span diverse applications—from launching new ventures and reimagining user experiences to building tech-enabled products that transform industries. You'll operate at the intersection of analytics and impact, where bold strategies meet breakthrough results.
We are deeply committed to building a diverse and inclusive team and actively encourage candidates from all backgrounds to apply. Bain offers comprehensive benefits and flexible policies designed to support your whole self, enabling you to thrive both personally and professionally. We recognise that great work happens when people feel supported, valued, and empowered to bring their authentic selves to work.
CORE RESPONSIBILITIES AND IMPACT AREAS
MACHINE LEARNING MODEL DEVELOPMENT AND DEPLOYMENT
Your primary responsibility will be designing, building, and delivering statistical and machine learning models that solve high-impact client problems. This includes developing sophisticated agentic AI and large language model solutions that address complex business challenges across various industries. You'll work on problems ranging from predictive analytics and recommendation systems to natural language processing and computer vision applications.
Beyond model development, you'll architect and implement production-grade ML systems that meet enterprise standards for reliability, scalability, and performance. This involves building robust services that can handle real-world workloads, applying MLOps best practices to ensure smooth deployment and monitoring, and implementing CI/CD pipelines that enable rapid iteration while maintaining stability. Your work will set the standard for engineering quality and documentation, ensuring that solutions are maintainable and can evolve as business needs change.
STRATEGIC PARTNERSHIP AND BUSINESS TRANSLATION
A crucial aspect of your role involves partnering with general consulting teams and client stakeholders to translate complex business problems into effective machine learning solutions. You'll need to understand business contexts, identify opportunities where ML can create value, and articulate technical approaches in ways that resonate with non-technical audiences. This translation capability—moving fluidly between technical and business perspectives—is essential for driving successful AI transformations at enterprise scale.
You'll help prioritize work based on business impact, balancing quick wins with long-term strategic initiatives. Your input will shape how clients think about AI adoption, helping them build realistic roadmaps and avoid common pitfalls in ML implementation.
RESEARCH AND INNOVATION
Staying at the forefront of AI innovation is a key part of this role. You'll continuously research emerging frameworks and state-of-the-art AI technologies, including advances in large language models, autonomous agents, retrieval systems, post-training techniques, and other cutting-edge developments. The goal isn't just to stay informed—it's to convert these learnings into reusable frameworks, components, and accelerators that can be applied across industries and functions.
Your innovations will become part of Bain's AI toolkit, enabling faster solution development and higher quality outcomes for future projects. This contribution to our collective capabilities is how we maintain our position as a leader in AI-driven consulting.
KNOWLEDGE SHARING AND MENTORSHIP
As a senior member of the team, you'll play an important role in elevating the capabilities of those around you. You'll share knowledge and mentor others on best practices, tools, and approaches in applied machine learning and AI engineering. This might involve conducting internal workshops, reviewing code and architectures, or providing guidance on technical decisions.
Your mentorship extends beyond formal teaching—it's about fostering a culture of continuous learning and excellence. By sharing your experiences, both successes and failures, you help the team develop more quickly and avoid common pitfalls.
INTERNAL R&D AND CAPABILITY BUILDING
Between client projects, you'll contribute to internal research and development initiatives that advance Bain's AI capabilities. This might involve exploring new techniques, building proof-of-concepts for emerging technologies, or developing internal tools that improve team productivity. These R&D efforts ensure that Bain remains at the cutting edge of AI innovation and that we're prepared to tackle tomorrow's challenges with today's investments in knowledge and capability building.
REQUIRED QUALIFICATIONS AND EXPERTISE
ESSENTIAL REQUIREMENTS
Education and Experience:
- 3+ years of relevant professional experience in machine learning engineering, or an advanced degree (Master's or PhD) in Computer Science, Machine Learning, Data Science, or a related technical field
- Demonstrated track record of delivering machine learning solutions that create business value
Technical Expertise:
- Strong theoretical and practical experience in machine learning, including deep understanding of algorithms, model architectures, and their appropriate applications
- Proficiency in Python with solid software engineering foundations—this includes clean code practices, comprehensive testing strategies, version control with Git, and CI/CD workflows
- Experience with major cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure, including their ML/AI services and deployment infrastructure
- Comprehensive understanding of the complete ML lifecycle, from initial experimentation and exploratory data analysis through model development, validation, deployment, and monitoring
Production and Engineering Skills:
- Proven experience productionizing and exposing ML models using frameworks like FastAPI, Flask, or similar technologies for seamless integration into applications and platforms
- Understanding of MLOps principles and practices, including model versioning, experiment tracking, automated testing, and continuous monitoring
- Ability to design systems that are scalable, maintainable, and resilient to real-world conditions
Soft Skills and Working Style:
- Excellent communicator and collaborator, capable of aligning effectively with both technical teams and business stakeholders in fast-paced, cross-functional environments
- Curious and growth-oriented mindset, with genuine passion for exploring new tools, mentoring peers, and sharing best practices across the organization
- Adaptable and self-driven personality, comfortable operating with autonomy while embracing feedback and continuously learning new skills to maximize client impact
- Strong problem-solving abilities and the capacity to think strategically about how ML can address business challenges
PREFERRED QUALIFICATIONS
While not required, the following experiences would strengthen your candidacy:
- Experience with research and development or academic research, demonstrating ability to push boundaries and explore novel approaches
- Interest in publishing technical content through blog posts, papers, or presentations, contributing to the broader ML community
- Track record of mentoring junior engineers or data scientists, helping them develop their skills and advance their careers
- Experience with specialized ML domains such as natural language processing, computer vision, reinforcement learning, or time series analysis
- Familiarity with emerging AI paradigms including transformer architectures, retrieval-augmented generation, prompt engineering, and fine-tuning techniques
WORK ENVIRONMENT AND LOGISTICS
This position operates in a hybrid work model, based in New Delhi, Bengaluru, or Mumbai. You'll have the flexibility to work remotely part of the time while maintaining regular in-person collaboration with your team and clients. This balanced approach allows for deep focus work while preserving the benefits of face-to-face interaction.
Regional travel away from your home office or primary working location is required as part of this role. Travel frequency and destinations will vary based on specific project needs and client engagements. This travel component provides valuable opportunities to work directly with clients, understand their business contexts firsthand, and build strong relationships that enhance project outcomes. While travel requirements fluctuate, the exposure to different industries, companies, and challenges enriches your experience and accelerates your professional growth.
WHY THIS ROLE MATTERS
As a Senior Machine Learning Engineer at Bain, you'll be working on problems that matter. The solutions you build won't just be technical achievements—they'll drive real business outcomes for organizations navigating complex transformations. You'll see your work influence strategic decisions, improve operational efficiency, and create new capabilities that weren't previously possible.
The role offers a unique combination of technical depth and business breadth that's rare in the industry. Unlike pure research positions, you'll see your models deployed and used in production. Unlike typical engineering roles, you'll understand the business context and strategic implications of your technical decisions. This intersection of skills makes you uniquely valuable and positions you for leadership roles in the evolving landscape of AI-driven business transformation.
CAREER GROWTH AND DEVELOPMENT
Bain invests heavily in the development of its people. You'll have access to extensive learning resources, including training programs, conferences, and certifications that help you stay current with rapidly evolving AI technologies. The exposure to diverse projects across industries provides natural skill development, while our mentorship culture ensures you have guidance as you navigate your career path.
The firm's commitment to internal mobility means that as you grow, opportunities will emerge—whether that's taking on larger technical leadership responsibilities, moving into specialized domains, or expanding into consulting or product management roles. Your career trajectory is not predetermined; it evolves based on your interests, strengths, and the value you create.
Ready to join a team that's shaping the future of AI-driven consulting? We're looking for talented machine learning engineers who are passionate about solving complex problems and creating meaningful impact. Apply today and take the next step in your career with Bain & Company.
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