AIML Lead / Architect
Exp:7Yrs
Location: Hyderabad
Job Description: An AI/ML Lead responsible for designing and overseeing the design and implementation of AI and machine learning systems to meet business objectives.
This involves creating end-to-end implementation collaborating with cross-functional teams and ensuring the scalability reliability and security of the AI models and infrastructure.
Key responsibilities include defining the AI strategy designing model deployment pipelines and mentoring data scientists and engineers
Skills:
- Deep understanding of AI/ML theory and practical experience in developing and deploying models.
- Proficiency in programming languages like Python Java or R.
- Strong knowledge of cloud platforms (e.g. Azure AWS) and their AI/ML services.
- Experience with data engineering MLOps and building scalable data pipelines.
- Familiarity with database systems big data and data management principles.
- Strategic thinking and excellent communication skills to bridge the gap between technical and business teams.
AIML Lead / Architect Exp:7Yrs Location: Hyderabad Job Description: An AI/ML Lead responsible for designing and overseeing the design and implementation of AI and machine learning systems to meet business objectives. This involves creating end-to-end implementation collaborating with cross...
AIML Lead / Architect
Exp:7Yrs
Location: Hyderabad
Job Description: An AI/ML Lead responsible for designing and overseeing the design and implementation of AI and machine learning systems to meet business objectives.
This involves creating end-to-end implementation collaborating with cross-functional teams and ensuring the scalability reliability and security of the AI models and infrastructure.
Key responsibilities include defining the AI strategy designing model deployment pipelines and mentoring data scientists and engineers
Skills:
- Deep understanding of AI/ML theory and practical experience in developing and deploying models.
- Proficiency in programming languages like Python Java or R.
- Strong knowledge of cloud platforms (e.g. Azure AWS) and their AI/ML services.
- Experience with data engineering MLOps and building scalable data pipelines.
- Familiarity with database systems big data and data management principles.
- Strategic thinking and excellent communication skills to bridge the gap between technical and business teams.
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