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Data Scientist
2 months ago
We're a leading transformation consultancy, Mesh-AI Limited, and we're on a mission to reimagine how enterprises operate. Our goal is to make data and AI the competitive advantage for our clients, driving business growth and accelerating outcomes.
We're a dynamic and collaborative culture, always on the lookout for top talent to join us in our next phase of growth. If you're interested in working on business-defining engagements with some of the brightest minds in the industry, read on.
Key Responsibilities- Lead the development of AI/ML solutions as part of a cross-functional team, driving business value for our clients.
- Design and build data science and machine learning systems that have a measurable impact for clients, leveraging cutting-edge technologies.
- Bridge the gap between business and technology, effectively communicating and managing expectations across customer stakeholders, technology teams, and our own engineering teams.
- Conduct discovery sessions and workshops with customers, understanding their needs and designing solutions that meet their requirements.
- Engage with cross-functional squads across discovery and delivery phases of engagements, driving advisory, design, and implementation.
- Contribute to internal initiatives such as thought leadership, technical forums, and knowledge sharing.
- Substantial experience with Python and relevant libraries (e.g. Pandas, Numpy, Scikit Learn, PyTorch, Tensorflow).
- Proven track record of driving ML & data science solutions into production.
- Ability to communicate complex data insights to non-technical stakeholders.
- Experience with cloud computing ecosystems (e.g. AWS, Azure, GCP).
- Exposure to software engineering best practices applied to data, e.g., version control, CI/CD.
- Outstanding general-purpose skills in AI/ML, with a proven record of applying them to solve business problems.
- Technical leadership experience, ideally in a consulting environment.
- Impact-driven, with a strong desire to make a positive influence on Mesh-AI, our clients, and your team.
- NLP, LLMs, GenAI, time series forecasting, image recognition, or deep learning expertise.
- PySpark, OpenCV, spaCy, or DVC experience.
- Exposure to MLOps.