Job Description

The Technical Product Delivery Specialist is responsible for leading the end‑to‑end delivery of AI/ML solutions, ensuring timely execution, high‑quality implementation, and successful adoption across the business. This role focuses on orchestrating delivery activities across data science, ML engineering, DevOps and business teams, ensuring that every solution is production‑ready, scalable, dependable, and aligned to operational and business objectives. Partners with Product Managers to define delivery scope and sequencing. The role prioritizes delivery rigor, repeatable processes, solution stability, and stakeholder alignment, reducing one‑off efforts and ensuring seamless execution at scale.

The Technical Product Delivery Specialist is responsible for leading the end‑to‑end delivery of AI/ML solutions, ensuring timely execution, high‑quality implementation, and successful adoption across the business. This role focuses on orchestrating delivery activities across data science, ML engineering, DevOps and business teams, ensuring that every solution is production‑ready, scalable, dependable, and aligned to operational and business objectives. Partners with Product Managers to define delivery scope and sequencing. The role prioritizes delivery rigor, repeatable processes, solution stability, and stakeholder alignment, reducing one‑off efforts and ensuring seamless execution at scale.

About BD (www.bd.com)

BD is one of the largest global medical technology companies in the world and is advancing the world of health by improving medical discovery, diagnostics and the delivery of care. At BD, the work we do is life-changing—every day, our customers and their patients depend on BD products to improve health.

The BD Technology Campus India (BDTCI) is an integral part of the global R&D network for BD in product development and product engineering for global markets. This center leads design, development and delivery of critical R&D solutions for the global markets.

You will work with some of the brightest minds in technology, in a unique environment that fosters and supports ingenuity. You’ll drive digital solutions that better serve our customers, patients and employees in pursuit of helping all people live healthy lives.

Get ready. Opportunity abounds in this unique and exciting space where you’ll have the privilege of being one of the first 500 to join the organization.

Technology Global Services (TGS)

Technology Global Services is the group behind building the technology strategy and roadmap for BD. It’s a capability center within BD, entrusted to build and execute enterprise capabilities, develop standards for technology development and enable new age capabilities in Artificial Intelligence, Machine Learning & Automation among others.

Joining TGS in India is an exciting opportunity to be part of a greenfield initiative, establishing BD's technology capabilities in countries worldwide to tackle challenging global health issues. With the agility of a startup and the support of a long-standing medical technology institution, you’ll have the best of both worlds when it comes to driving innovation forward. Not only will you be part of exponential growth, but you’ll be also able to flex your skillset every step of the way. You will be empowered to choose the experiences, learning and opportunities that will help you in the pursuit of your aspirations.

Key Responsibilities

• Lead the full delivery lifecycle for AI solutions — from scoping and requirements through implementation, validation, deployment, and steady‑state transition.
• Collaborate with Product Managers to translate business needs into delivery roadmaps with clear prioritization criteria.
• Translate business needs into structured delivery plans, technical work packages, and execution milestones.
• Perform code reviews, environment configurations and performance diagnostics.
• Coordinate cross‑functional delivery involving data scientists, ML engineers, software engineers, and business stakeholders to ensure timely and aligned execution.
• Establish, maintain, and enforce delivery best practices, including model validation, QA/test processes, release management, and monitoring. Ensures compliance with data governance, security, and Responsible AI standards.
• Ensure production reliability through structured testing, risk mitigation, and smooth release processes.
• Communicate delivery progress, risks, and dependencies clearly to technical and non‑technical stakeholders.
• Drive solution standardization, reuse, and process consistency to avoid siloed custom efforts.
• Provide technical mentorship with a focus on delivery frameworks, execution quality, and implementation discipline.
• Stay current with relevant delivery tooling, MLOps technologies, and emerging AI/ML implementation practices.

Education & Experience

• Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related field.
• 6+ years of experience delivering AI/ML or technical solutions in product, engineering, or consulting environments.
• Experience deploying solutions into production environments with scale, security, and regulatory requirements.
• Demonstrated experience managing complex technical deliveries with measurable impact.
• Experience working within agile, iterative delivery environments. Experience managing stakeholders across multiple regions and time zones.

Knowledge & Skills

• Deep understanding of machine learning algorithms, model lifecycle management, and MLOps practices.
• Proficiency in Python, SQL, ML frameworks (e.g., MLflow), and cloud‑based delivery patterns.
• Experience with cloud platforms (e.g., Databricks), infrastructure services and containerization tools (Docker, Kubernetes).
• Knowledge of cloud security best practices and data compliance frameworks.
• Strong delivery management, planning, and cross‑team coordination skills.
• Expertise with delivery frameworks (Scrum, Kanban, SAFe) and tools (Jira, Azure DevOps).
• Excellent problem-solving, communication, and stakeholder management skills.
• Ability to independently lead delivery, mitigate risks, and drive milestone execution.

Application Process:

Interested candidates are invited to submit their resume, cover letter, and any relevant project portfolios or GitHub repositories. Our recruitment team will review all applications and reach out to candidates who meet our qualifications for further interviews and assessments.

Required Skills

Optional Skills

Primary Work Location

IND Bengaluru - Technology Campus

Additional Locations

Work Shift