MLOps Engineer

4 weeks ago


Bangalore, Karnataka, India Squareroot Consulting Full time

Role : Machine Learning Ops Engineer

Exp - 5-7 Yrs

Job location - Bangalore (Work From Office)

Immediate Joiners Preferred-

Role: Machine Learning Ops Design, develop, and deploy scalable machine learning systems from end to end, focusing on distributed computing and scalability.

- Create and maintain tools and services for model exploitability, ensuring transparency and trust in machine learning solutions.

- Implement and optimize distributed GPU training approaches for deep learning models, leveraging cloud computing resources effectively.

- Develop software tools to streamline the experimentation process for the research team and derive actionable insights from experimental data.

- Research and evaluate emerging patterns and technologies to enhance the performance, maintainability, and sophistication of machine learning systems.

- Lead technical projects, collaborating with peers to define requirements and monitor progress throughout the development lifecycle.

- Mentor junior engineers, fostering a culture of knowledge sharing and technical excellence within the team.

- Collaborate cross-functionally with engineers to address complex data challenges at have:

- 5+ years of professional experience in implementing machine learning systems at scale.

- Proficiency with Kubernetes, Kubeflow, MLflow, and other tools for managing machine learning workflows.

- Experience in model serving using frameworks such as TensorFlow Serving, TorchServe, or similar technologies.


- Strong programming skills in Python and familiarity with ML libraries such as PyTorch or TensorFlow.

- Hands-on experience with GPU computing for data and model training parallelism.

- Solid software engineering skills with a focus on building robust, production-grade systems.

- Familiarity with cloud data processing technologies such as AWS, Spark, and Elasticsearch.

- Bachelor's, Master's, or PhD degree in Computer Science, Machine Learning, or related field.

Nice to have:

- Background in geospatial or remote sensing applications.

- Experience with additional cloud services and tools, such as S3, Lambda, or Presto.

- Strong analytical and problem-solving abilities, with a focus on debugging complex Excellent debugging and troubleshooting skills.

- Strong analytical and critical thinking abilities.

- Ability to thrive in a fast-paced, collaborative environment.

Educational Qualifications:

- Bachelor's, Master's, or PhD Degree in Computer Science, Machine Learning, or Software Engineering.

(ref:hirist.tech)
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