Role Sr. ML Engineer
Experience 612 yrs
Mode WFH (Remote position) (Anywhere in India accepted)
Primary Skills Python Spark
- 5 to 8 years of development experience preferably using Python Spark and Java
- Able to write production level code which is wellwritten and explainable
- Profound mastery of machine learning frameworks such as TensorFlow PyTorch or equivalent coupled with Python programming)
- Thorough comprehension of software engineering principles version control (Git) and collaborative development workflows.
- Adeptness with cloud platforms (AWS or Azure) and utilization of cloudnative services for crafting robust ML infrastructure
- Experience with deployment and training of Machine Learning models and MLOps tooling (MLFlow Seldon etc...)
- Deep expertise in containerization (Docker) and orchestration (Kubernetes) for orchestrating complex machine learning applications
- Experience with RESTful API and batch applications
- Track record of successfully integrating DevOps practices continuous integration and continuous deployment (CI/CD) pipelines.
- Experience with full development lifecycle agile development using task management tool like JIRA
- Microservice development and operation experience with Docker and Kubernetes
- Awareness about SOTA models in machine learning domain
- Experience working in crossfunctional teams collaborating with data scientists engineers and stakeholders to deliver ML solutions.
- Superior problemsolving acumen and ability to navigate intricate technical challenges with dexterity.
- Exceptional communication aptitude capable of fostering effective collaboration across diverse teams and stakeholder
spark,kubernetes,ci/cd,python,mlflow,git,ml,pytorch,microservices,seldon,tensorflow,aws,machine learning,agile,docker,java,cloud,azure,restful api