Data Engineer / MLOps (Job ID: 2216)
Bengaluru
Applications have closed
ConverseNow.ai
We’ve emerged as an AI and foodservice industry leader, and are enjoying massive growth. Backed by blue chip investors such as CRAFT Ventures (Tesla, Uber, Airbnb, Postmates, Slack), we’ve raised $28M in funding and are gearing up for a series B in the near future. We’re based in Austin, TX, with a remote team distributed across the globe. ConverseNow is looking for a Data Engineer/MLOps to help in building the ultimate voice-based conversational AI. We’re looking for coders and creators with a refined code sense: people who’ve built cool things, but who can also maintain and scale those things, and who feel proud seeing their code in production.
What You'll Do
- Be the technical product owner for the data pipeline, evaluation/benchmarking and monitoring tools working closely with Data Scientists to support their needs
- Design, build and maintain the core data infrastructure
- Design and develop Infrastructure for data pipelines, data versioning, model serving/versioning and monitoring.
- Design and develop Benchmarking and Evaluation Tools
- Support internal teams with all Data Requirements, including analytics teams, product teams as well as the data science teams
- Build, operationalize and help take POCs to production
- Support all DE operations critical to Production as required
What You'll Bring
- The ideal candidates would have professional experience building data and model pipelines with additional skills for production grade MLOps for cutting edge data science teams, be proficient with Python and/or Golang and excited to work in a fast-moving start-up environment
- Strong experience with Data Engineering - With an additional knack for building production grade pipelines for ML teams
- Strong software engineering, data management skills
- Strong proficiency in Python or Scala. Golang is a plus
- 3+ years related experience strongly preferred
- Experience building scalable services
- Good design and problem solving skills
- Experience working with cloud infrastructure (GCP, AWS, Azure)
- Experience working with docker/containers, and/or Kubernetes
- Strong with SQL and/or NoSQL databases
- Experience designing and creating APIs. Flask or FastAPI knowledge is a plus
What We Provide
- Unlimited PTO
- An incredible team with tremendous passion for the company’s mission, sharing a “Let’s do this” attitude while maintaining a strong work/life balance
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Azure Conversational AI Data management Data pipelines Docker Engineering Flask GCP Golang Kubernetes Machine Learning MLOps NoSQL Pipelines Python Scala SQL
Perks/benefits: Startup environment Unlimited paid time off
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