AI/ML Engineer – Recommendation Systems & Personalisation (Contract to Hire)

Bionesca Ltd.; India; On-site; INR 1,500,000 - 1,800,000; Full time

Job summary

Bionesca Ltd. in India is seeking an AI/ML Engineer to design and enhance personalisation and recommendation systems for skin health. In this role, you will leverage data and advanced AI techniques to improve recommendation quality and performance, collaborating closely with the engineering team. Ideal candidates will have 3-6 years of applied AI/ML experience, a strong grasp of recommendation systems, and solid Python proficiency. Join us to work on impactful solutions in a dynamic startup environment.

Qualifications

• 3–6+ years of experience in applied AI/ML or data-driven product development.
• Strong understanding of recommendation systems and ranking.
• Proficient in Python and modern ML tooling.

Responsibilities

• Design and improve personalisation and recommendation systems.
• Develop scoring and ranking frameworks.
• Work with structured and unstructured data.

Skills

Applied AI/ML experience

Recommendation systems

Python proficiency

Machine learning model evaluation

Job description

Bionesca Ltd. is a cutting-edge data platform dedicated to revolutionising the future of skin health. By leveraging advanced technologies, Bionesca provides data-driven solutions to deliver personalised skincare recommendations. Our mission is to empower individuals with insights and tools to achieve optimal skin health.

Role Description

We are looking for an AI/ML Engineer to help design and improve our personalisation and recommendation systems.

This role focuses on bringing data-driven rigour and intelligent decision-making into our platform, improving how we generate, rank, and optimise recommendations for users.

You will work closely with the founder and engineering team to build scalable, high-quality personalisation systems, combining domain logic, data, and AI techniques.

This is a highly applied role for someone who enjoys solving real product problems using practical machine learning approaches.

Qualifications

• Designing and improving recommendation and personalisation systems
• Developing and refining scoring, ranking, and decision‑making frameworks
• Evolve machine learning models where they add meaningful value
• Work with structured and unstructured data (user inputs, product data, model outputs)
• Define and track metrics to evaluate recommendation quality and performance
• Collaborate with engineering to integrate models into production systems
• Improve the system through continuous iteration and data-driven insights
• Leveraging modern AI approaches, including LLMs where appropriate, to enhance system capabilities

Must h ave requirements

• 3–6+ years of experience in applied AI/ML or data‑driven product development
• Strong understanding of recommendation systems, ranking, or personalisation
• Keen ness to work in a dynamic startup environment with a can do attitude and not shy away from taking on varied responsibilities
• Self‑starter who want to own and shape a critical part of a product
• Solid foundation in machine learning and model evaluation
• Experience working with real‑world data and production systems
• Strong proficiency in Python and modern ML tooling
• Ability to translate ambiguous problems into clear, structured solutions
• Experience integrating ML into real products, not just experiments
• Strong ownership mindset and ability to operate in a fast‑moving environment

If you’re excited about building intelligent, real‑world systems that meaningfully impact users, we’d love to hear from you.