AI/ML Engineer


- We are looking to start a new cross-functional, cross-LOB AI/ML team for the entire business group that will specifically focus on AI/ML solutions to create an impact in different business areas like product development, marketing, backend operations, technology & data, risk etc.
- This new AI/ML team will act as a S.W.A.T team who work with business leaders to quickly identify use cases, design AI/ML solutions, prototype, test & deploy them.

What would your job look like?

ML Development:

• Develop advanced, production-grade ML models & systems
• Prototype, test and iterate fast using various tools and technologies
• Leverage open source/paid 3rd part models and APIs to build end-to-end systems

Deployment & Measurement:

• Contribute to deploy ML models to production, ensuring scalability, reliability, and efficiency.
• Integrate AI and ML services with existing systems or develop simple prototypes with user interfaces (UI) as required.
• Collaborate with DevOps and engineering teams to automate and streamline deployment processes.


• Engage in continuous learning to stay up-to-date with emerging technologies and methodologies in the AI/ML space.

Who you are

As a professional:

• Experience:

- 2+ years of experience in ML engineering, preferably having worked on both the ML development & Systems development parts for
- Basic experience (through work or freelance or pet projects) with the latest GenAI advancements

• Knowledge:

- Sound knowledge of ML theory (classical ML and Deep Learning)
- Theoretical & practical working knowledge of Transformer architecture, LLMs and prompt engineering.
- Basic understanding of systems design and the parameters to be evaluated when designing scalable and reliable systems

• Technical Skills:

- Strong in Python, TensorFlow/PyTorch, Scikit-learn or other relevant ML frameworks to develop high-quality ML models
- Experience with cloud services from at least one of AWS, GCP, or Azure.

Brownie points for (not mandatory):

• Familiarity with technologies like Docker, K8s, Airflow, Kafka that will help in deployment of your ML solutions
• Worked on problems in more than one of NLP, Vision, Recommendations, Reinforcement Learning
• Masters in an ML-related field
• Patents or publications in AI/ML conferences or journals.
• Software Engineering background (BE/FE)
• Involvement in open-source projects related to AI/ML.

As a person:

• Problem Solver: Excellent analytical and problem-solving skills to tackle complex challenges. A solution-first mindset required
• Team Player: Collaborative mindset and effective communication with cross-functional teams.
• Detail-Oriented & Meticulous: Strong attention to detail and determined to deliver high-quality work.

What We Offer

• Working in a small and dynamic team full of smart people.
• A start up culture where the focus is both on getting work done and having fun while doing it.
• Ample opportunities to display ownership and initiative.
• The flexibility to work on things that interest you on the side.
• A competitive salary & benefits package that’s on par or better than most of the market.
• Medical insurance, VISA sponsorship for self.
• The gratifying feeling of seeing your ideas and work implemented.
• Team of motivated professionals from different cultures and backgrounds.

Apply Now