AI / ML Engineer

Job Description

Project Role :AI / ML Engineer


Project Role Description :Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills :Data Science

Good to have skills :NA
Minimum 3 year(s) of experience is required

Educational Qualification :15 years full time education

Summary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based services. The role requires integrating these solutions into robust pipelines that are ready for production environments, ensuring seamless deployment and operation. The work may encompass a variety of innovative areas such as generative artificial intelligence models, deep learning architectures, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to refine and enhance these intelligent systems is a key aspect of the daily routine, fostering continuous improvement and innovation.

Roles Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with team members to share knowledge and best practices, enhancing overall project outcomes.
- Assist in mentoring junior colleagues to support their professional growth and development.
- Continuously evaluate emerging technologies and methodologies to improve existing AI and machine learning solutions.
- Ensure the quality and reliability of AI applications through rigorous testing and validation processes.

Professional Technical Skills:
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Must To Have Skills:
Proficiency in Data Science.
- Strong programming skills in languages commonly used in data science such as Python or R.
- Experience with machine learning frameworks and libraries to develop and deploy models effectively.
- Ability to work with large datasets, performing data preprocessing, feature engineering, and analysis.
- Familiarity with cloud platforms and services that support AI and machine learning workflows.
- Understanding of model evaluation techniques and performance optimization.
- The candidate should have minimum 3 years of experience in Data Science.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.


Qualification15 years full time education