ML Ops Engineer
3 - 5 yrs
₹5L - ₹15L / yr
Bengaluru (Bangalore)
Skills
Data Science
Machine Learning (ML)Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
PythonTensorFlow
PyTorch
Scikit-Learn
Git
Docker
Kubernetes
Jenkins
Amazon Web Services (AWS)Apache Spark
Apache Hadoop
PostgreSQLMySQL
Roles and Responsibilities:
- Design, develop, and maintain the end-to-end MLOps infrastructure from the ground up, leveraging open-source systems across the entire MLOps landscape.
- Creating pipelines for data ingestion, data transformation, building, testing, and deploying machine learning models, as well as monitoring and maintaining the performance of these models in production.
- Managing the MLOps stack, including version control systems, continuous integration and deployment tools, containerization, orchestration, and monitoring systems.
- Ensure that the MLOps stack is scalable, reliable, and secure.
Skills Required:
- 3-6 years of MLOps experience
- Preferably worked in the startup ecosystem
Primary Skills:
- Experience with E2E MLOps systems like ClearML, Kubeflow, MLFlow etc.
- Technical expertise in MLOps: Should have a deep understanding of the MLOps landscape and be able to leverage open-source systems to build scalable, reliable, and secure MLOps infrastructure.
- Programming skills: Proficient in at least one programming language, such as Python, and have experience with data science libraries, such as TensorFlow, PyTorch, or Scikit-learn.
- DevOps experience: Should have experience with DevOps tools and practices, such as Git, Docker, Kubernetes, and Jenkins.
Secondary Skills:
- Version Control Systems (VCS) tools like Git and Subversion
- Containerization technologies like Docker and Kubernetes
- Cloud Platforms like AWS, Azure, and Google Cloud Platform
- Data Preparation and Management tools like Apache Spark, Apache Hadoop, and SQL databases like PostgreSQL and MySQL
- Machine Learning Frameworks like TensorFlow, PyTorch, and Scikit-learn
- Monitoring and Logging tools like Prometheus, Grafana, and Elasticsearch
- Continuous Integration and Continuous Deployment (CI/CD) tools like Jenkins, GitLab CI, and CircleCI
- Explain ability and Interpretability tools like LIME and SHAP
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About JK Technosoft Ltd
Founded :
1995
Type :
Services
Size :
1000-5000
Stage :
Profitable
About
JK Tech is a specialized Gen AI and Data consulting firm, leveraging deep domain expertise in Retail, CPG, and Insurance to create tailored solutions for our clients. Our innovative Gen AI accelerators, branded as JIVA, address critical challenges like Accuracy, Security, and Scalability, enabling enterprises to accelerate their journey from POC to production. We combine structured and unstructured data with advanced AI technologies, helping clients unlock actionable insights and drive meaningful outcomes.
As a strategic partner of Google Cloud and other industry leaders, JK Tech delivers cutting-edge solutions that empower businesses to stay ahead in a competitive market. At JK Tech, we are dedicated to transforming data into a powerful asset for growth and success.
Connect with us to explore how we can help your organization thrive.
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