Tredence - Manager/Architect - Machine Learning

Manager / Architect - Machine Learning

Tredence is a global analytics services and solutions company. We are one of the fastest growing private companies in the country for three straight years according to the Inc. 5000 and we continue to set ourselves apart from our competitors by attracting the greatest talent in the data analytics and data science space. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in building Scalable Big Data Solutions on Onprem/GCP/Azure cloud in a very cost effective and easily scalable manner for our clients. We also come in with some strong IP and pre-built analytics solutions in data mining, BI and Big Data.

We are looking for an experienced technologist who can architect, build, and scale our platform and core systems that power mission-critical AI enabled platform for co-innovation. The Atom.ai engineering team at Tredence is looking for a strong Architect who has solved business problems at scale. Architect at Tredence Studio exhibits the following qualities:

Responsibilities:

- Has exposure to building platforms for Big Data and ML/AI.

- Defines best practices and architecture with deep domain knowledge.

- Does rapid prototyping and shows the value and then hands it over to the team for further development.

- Constantly evolve the platform to identify bottlenecks in both runtime and development time aspects of the platform and improve them.

- Mentor to write quality code and documentation which can be used as the example for your company.

- Mentor other engineers and continue building a strong culture of quality.

- Plan to reduce technical debt.

Requirements:

- Bachelor's degree or higher in an engineering field (e. g. Computer Science, Computer Engineering, etc.) with at least 8 to 10 years of relevant experience building highly scalable distributed systems.

- Have advanced knowledge of at least one programming language (python, node( Good to have) Golang) and at least basic knowledge of one or more of the following technologies: Kafka, NoSQL & relational databases, Redis, MQ etc.

- Should have hands on experience in system design and microservice architecture.

- Well versed with debugging and monitoring of platforms.

- Good understanding of docker, Kubernetes and DevOps/MlOps practices.

- Expertise on cloud ecosystem (Azure/AWS/GCP).

- Should have hands on experience in AI/ML architecture (ML Engineer)

- Should have worked on GenAI and NLP use cases