Job description
Project Role : LLM Operations Engineer
Project Role Description : Utilize cloud-native services and tools for scalable and efficient deployment. Monitor LLM performance, address operational challenges, and ensure compliance and security standards in AI operations.
Must have skills : Machine Learning Operations
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, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve creating production-ready pipelines, ensuring the quality of applications, and integrating generative AI models into solutions. You will also explore various AI methodologies, including deep learning and image processing, to enhance system capabilities and performance. Roles & Responsibilities: - Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Mentor junior team members to foster their professional growth and enhance team performance.
- Continuously evaluate and implement best practices in AI and machine learning to improve project outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning Operations.
- Good To Have Skills: Experience with cloud-based AI services.
- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
- Familiarity with data preprocessing and feature engineering techniques.
- Experience in deploying machine learning models in production environments. Additional Information: - The candidate should have minimum 7.5 years of experience in Machine Learning Operations.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
This job post has been translated by AI and may contain minor differences or errors.
