AI/ML Engineer.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a leading global professional services firm operating at the intersection of finance, technology, and consulting. With a vast international footprint, they provide transformative solutions to complex business challenges across various industries. They foster a culture of innovation, continuous learning, and professional excellence.
About the role.
This role involves designing and deploying advanced artificial intelligence and machine learning models to drive data-informed decision-making. You will work within a collaborative environment to solve intricate problems and enhance operational efficiency through cutting-edge technology. The position offers the opportunity to influence strategic outcomes by leveraging predictive analytics and automation.
What you will do.
- Design, develop, and deploy scalable machine learning models to address complex business requirements.
- Collaborate with cross-functional teams to identify opportunities for AI-driven process optimization.
- Clean, preprocess, and analyze large datasets to extract actionable insights.
- Implement robust MLOps pipelines to ensure the reliability and performance of production models.
- Stay updated with the latest advancements in AI research and integrate relevant techniques into existing workflows.
- Conduct code reviews and provide technical mentorship to junior team members.
- Document technical specifications and model architectures for internal stakeholders.
What you bring.
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative field.
- 5–8 years of professional experience in AI/ML engineering or data science roles.
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Strong understanding of machine learning algorithms, statistical modeling, and data structures.
- Experience with cloud platforms and deploying models in a hybrid environment.
- Hands-on experience with SQL and big data processing tools.
- Excellent problem-solving skills and the ability to communicate technical concepts to non-technical stakeholders.
Other open roles.
Data Engineer — Bengaluru · Hybrid
Lead - Vendor Sourcing — Palej · On-site
EHS Lead — Palej · On-site