Principal Machine Learning Consultant
Principal Machine Learning Consultant
Partnered with a Global Specialist Cloud Consultancy working with various household brands who are on the ramp up to upscale their Machine Learning & Data Science capabilities and looking to build out top tier resources in this area of speciality in a Senior and Principal capacity.
Role Requirements:
- Extensive experience designing and leading the development of large-scale distributed data and/or ML backend systems.
- Hands-on experience with ETL pipeline design and optimization for complex data sets is a strong advantage.
- Deep familiarity with technologies such as Apache Beam, Pub/Sub, Redis, and other large-scale data processing frameworks.
- Expertise in backend development with Python and Scala; knowledge of Node.js or Golang is a plus.
- Proficient with both SQL and NoSQL databases, and experience with data warehousing solutions.
- Demonstrated experience building robust APIs (REST, GraphQL) and operating in modern cloud environments (GCP preferred), using Kubernetes, Docker, CI/CD, and observability tools.
Skills/Experience:
- Excellent communication and strong level of consulting/client facing experience.
- Comprehensive understanding of Data landscape and proactive nature in staying up to date with latest market trends.
- Business focus and outcome oriented.
- Capable of working independently and as part of a team setting.
If this role aligns with your career aspirations and you’d like to know more please share your CV and availability for a call to ankush.agarwal@harveynash.com