AI 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 massive international footprint, they provide transformative solutions to complex business challenges across various sectors. They foster a culture of continuous learning, innovation, and professional growth for their diverse workforce.
About the role.
We are seeking a skilled AI Engineer to join a dynamic team focused on developing cutting-edge artificial intelligence solutions. You will work on designing, building, and deploying scalable machine learning models that drive efficiency and provide actionable insights for global clients. This role offers the opportunity to work in a hybrid environment, leveraging advanced technologies to solve real-world business problems.
What you will do.
- Design, develop, and deploy robust machine learning models and AI-driven applications.
- Collaborate with cross-functional teams to identify business opportunities for AI integration.
- Optimize existing algorithms to improve performance, scalability, and accuracy.
- Maintain and monitor AI systems to ensure reliability and high-quality output.
- Stay updated with the latest advancements in machine learning, deep learning, and natural language processing.
- Translate complex technical requirements into functional AI solutions.
- Participate in code reviews and contribute to best practices in software engineering.
What you bring.
- 4–6 years of professional experience in AI, machine learning, or data science roles.
- Strong proficiency in Python and relevant libraries such as TensorFlow, PyTorch, or Scikit-learn.
- Solid understanding of data structures, algorithms, and software development life cycles.
- Experience with cloud platforms and deploying AI models in production environments.
- Strong analytical and problem-solving skills with the ability to work in a hybrid team structure.
- Excellent communication skills to articulate technical concepts to non-technical stakeholders.
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative field.
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