AI / ML Engineer
Kolkata
Posted 21h ago
Job Location
Kolkata
Tech Stack
Remote Work Policy
On-site
Categories
Machine Learning Engineer
About the job
Develops applications and systems that utilize AI tools and cloud AI services, with a focus on production-ready cloud or on-prem application pipelines. This role involves applying Generative AI models as part of solutions, potentially including deep learning, neural networks, chatbots, and image processing. The engineer will integrate AI models into production-grade software systems, optimize AI workflows for performance and scalability, and manage the AI model lifecycle.
This position requires a strong understanding of AI model lifecycle management and operationalization, with familiarity with generative AI techniques and their practical applications. The role also involves continuous learning in data science, machine learning algorithms, and responsible AI practices to maintain relevance and advance career growth in technology.
Responsibilities
- Lead the design and implementation of AI solutions meeting project requirements and quality standards.
- Manage AI model lifecycle and operationalization.
- Integrate AI models into production-grade software systems.
- Optimize AI workflows for performance and scalability.
- Apply Generative AI models as part of solutions.
- Collaborate with multiple teams and contribute to key decisions.
- Provide solutions to problems for immediate and cross-team issues.
- Facilitate knowledge sharing and mentorship within the team.
- Coordinate with stakeholders to align AI initiatives with business objectives.
Requirements
- Minimum 5 years of experience in Python Frameworks.
- Proficiency in Python Frameworks.
- Proficiency in Prompt Engineering.
- Proficiency in Machine Learning Operations.
- Proficiency in Google Cloud Vertex AI Model Development.
- Complete knowledge of development using GitHub Copilot, focusing on prompt engineering for code generation and refinement.
- Strong experience in developing and deploying machine learning models using cloud platforms.
- In-depth understanding of AI model lifecycle management and operationalization.
- Familiarity with generative AI techniques and their practical applications.
- 15 years of full-time education.