AI / ML Engineer
Kolkata
Posted 21h ago
Job Location
Kolkata
Tech Stack
Remote Work Policy
On-site
Categories
Machine Learning Engineer
About the job
This role focuses on developing and testing applications and systems that leverage AI tools and cloud AI services. The engineer will be responsible for building production-ready application pipelines, both on-premise and in the cloud, and applying Generative AI models as part of solutions. The work may encompass deep learning, neural networks, chatbots, and image processing, ensuring solutions are scalable and reliable.
Responsibilities
- Develop applications and systems utilizing AI tools and cloud AI services.
- Build and maintain production-ready cloud or on-premise application pipelines.
- Apply Generative AI models as part of solutions.
- Perform testing of advanced applications and systems leveraging AI technologies and cloud-based AI services.
- Test end-to-end application pipelines, ensuring solutions are production-ready and scalable.
- Act as a Subject Matter Expert (SME) and perform independently.
- Actively participate and contribute in team discussions.
- Provide solutions to work-related problems.
- Collaborate with stakeholders to understand project requirements and translate them into technical solutions.
- Continuously monitor and optimize AI models and systems for performance and reliability.
- Document technical designs, processes, and best practices.
- Assist junior team members by providing guidance and support.
Requirements
- Minimum 5 years of experience in Machine Learning (ML).
- Proficiency in Machine Learning (ML).
- Proficiency in Test Management.
- Strong knowledge of various machine learning algorithms and their practical applications.
- Experience with cloud AI platforms and services for deploying scalable AI solutions.
- Familiarity with deep learning techniques, including neural networks and generative AI models.
- Ability to develop and maintain production-grade AI pipelines and workflows.
- Competence in programming languages like Python or R.
- Strong knowledge of automation frameworks and tools for efficient test execution.
- Experience in designing and implementing end-to-end automated test suites.
- Ability to analyze test results and identify areas for improvement in automation coverage.
- Familiarity with continuous integration and continuous deployment pipelines.
- Skilled in troubleshooting and resolving issues related to test automation environments.
- 15 years of full-time education.