We are looking for a Staff Machine Learning Engineer to join our team, working on a hybrid basis from our Lucknow office and from home. In this role you will be a key member of our Data Science function, contributing directly to our goals and working closely with talented colleagues across the business.
This is a hands-on role with real ownership and impact. You will apply your skills in Python, PyTorch and MLOps to solve interesting problems, ship work you can be proud of and help us raise the bar for what we do. You will collaborate with cross-functional teams, share your ideas openly and have the support you need to do your best work and grow along the way.
You will bring around 10 to 15 years of relevant experience and strong, practical knowledge of Python, PyTorch and MLOps. Just as important are clear communication, sound judgement, attention to detail and the ability to collaborate effectively with people across different teams and backgrounds. Experience leading projects, mentoring others and influencing decisions will set you up for success in this role.
Within your first few months, you will get up to speed with our products, processes and people, build strong working relationships across the team, and begin taking ownership of your own work. Over time, you will have the opportunity to deepen your expertise, take on broader scope and grow your career with us as the company continues to scale.
In return, we offer a supportive, inclusive and collaborative environment, competitive pay, meaningful benefits and the chance to do work that genuinely matters. We care about our people, invest in their growth and want everyone here to be able to do the best work of their careers.
If this sounds like you, we would love to hear from you. Lumen Bio is an equal-opportunity employer: we welcome applicants of all backgrounds and are committed to building a diverse team and an inclusive workplace where everyone can thrive. Apply today and tell us why you would be a great fit.
Responsibilities
As a Staff Machine Learning Engineer at Lumen Bio, you will play a central role within our Data Science function and take ownership of a broad and varied set of responsibilities. Working alongside a collaborative, motivated team, your day-to-day duties will include, but are not limited to, the following:- Represent your function in cross-functional and leadership discussions.
- Define and improve processes, standards and ways of working across the team.
- Translate strategy into concrete plans and measurable outcomes for the team.
- Develop, validate and deploy analytical and machine-learning models that turn raw data into actionable business value.
- Evaluate new data tools, platforms and techniques, recommending improvements to our data infrastructure.
- Conduct exploratory analysis and experiments, and communicate findings clearly to technical and non-technical audiences.
- Mentor colleagues on data literacy and help embed a culture of evidence-based decision making.
- Build and maintain dashboards, reports and self-serve tools that make data accessible across the organisation.
- Design, build and maintain robust data pipelines that ingest, clean, transform and serve data reliably at scale.
- Collaborate with engineering teams to productionise models and integrate insights into customer-facing features.
- Ensure data quality, integrity and governance through validation, monitoring, documentation and clear data contracts.
- Document data sources, definitions and methodologies so insights are trusted and easy to reproduce.
- Maintain reproducible, version-controlled analysis and follow sound experimental and statistical practices.
- Partner with stakeholders to translate ambiguous business questions into well-defined, measurable analytical problems.
- Define and track the metrics that matter, and proactively surface trends, risks and opportunities to leadership.
- Proactively flag dependencies and coordinate with other teams to keep work moving smoothly.
- Identify opportunities for improvement and bring forward practical ideas to make our products, processes and ways of working better.
- Contribute actively to a positive, inclusive, supportive and collaborative team culture.
- Support onboarding, knowledge-sharing and documentation so the wider team can learn, scale and succeed.
- Bring energy, curiosity and a solutions-focused mindset to everyday challenges.
- Contribute to a culture of accountability, learning from mistakes and celebrating shared wins.
- Communicate progress, risks and blockers clearly and proactively to your manager and relevant stakeholders.
- Uphold the company's values, policies, security requirements and standards of professional conduct in all activities.
- Handle confidential and sensitive information with discretion, care and integrity at all times.
- Participate constructively in team meetings, stand-ups, planning sessions, demos and retrospectives.
- Plan and manage your workload to balance quality, speed and competing demands.
- Ensure your work meets agreed quality, compliance and security standards before it is considered complete.
What we're looking for
10-15 years of professional experience in a Machine Learning Engineer or similar roleStrong working knowledge of Python, PyTorch and MLOps
Bachelor's degree in Computer Science
Excellent communication, problem-solving and teamwork skills
Benefits
At Lumen Bio, we believe that looking after our people is the foundation of doing great work. We offer a comprehensive, thoughtfully designed benefits and perks package that supports your health, your finances, your growth and your life outside of work. When you join us, you can expect the following:- A culture that actively encourages experimentation, stretch projects and learning from both wins and mistakes.
- Protected time for learning, regular internal knowledge-sharing sessions and access to leading online learning platforms.
- A results-focused environment that values outcomes and impact over hours logged at a desk.
- Generous referral bonuses for helping us find and hire other great people to join the team.
- The chance to do meaningful, high-impact work alongside talented, friendly, humble and ambitious colleagues.
- Flexible time-off arrangements and the trust to take the breaks you need, when you need them.
- Additional wellbeing and volunteering days each year to look after yourself and give back to your community.
- Free snacks, beverages and regular catered meals to keep you fuelled through the day.
- A home-office set-up allowance plus the laptop, equipment and tools you need to work comfortably and productively.
- Access to telemedicine and online doctor consultations so you can get care quickly, wherever you are.
- Regular recognition and appreciation for great work, both publicly and privately.
- A competitive salary that is reviewed regularly and benchmarked against the market to keep your pay fair and current.
- Recognition of personal milestones with celebration leave and thoughtful gestures.
- Transparent, structured pay bands and clear criteria for progression, so you always know how to grow your earnings.
- Structured mentorship, regular feedback and clear, transparent career-progression frameworks to help you grow.
- Commuter, transport and travel support to make getting to and from work easier and more affordable.
- A real commitment to diversity, equity and inclusion, with employee resource groups and an open, respectful culture.
- Comprehensive medical, dental and vision insurance for you and your dependants, so you and your family are well looked after.
- Provident Fund (PF) contributions and gratuity in line with statutory requirements, helping you build long-term financial security for the future.
- A supportive, inclusive and collaborative culture where your ideas are genuinely heard and your contribution truly matters.
- Company-funded health insurance with access to a wide network of hospitals and clinics, plus an annual preventive health check-up.
- Opportunities to attend, speak at and learn from industry events and conferences.
- Personal accident and term life insurance providing financial protection and peace of mind for you and your loved ones.
Education
Bachelor's degree in Computer Science