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AI Architect

Job Description - AI Architect

About the job


 


- A minimum of 10 years of experience in AI/ML engineering, with a strong emphasis on Generative AI., LLM, RAG and Agentic AI


- The ideal candidate will have a proven track record in developing and deploying AI/ML models, with a deep understanding of Gen AI technologies and their applications.


- This role requires a strategic thinker who can drive innovation and deliver high-quality solutions in a fast-paced environment.


Responsibilities:


- Design, develop, and implement AI/ML models with a focus on Generative AI.


- Collaborate with cross-functional teams to identify business needs and translate them into technical requirements.


- Conduct research and stay updated on the latest advancements in AI/ML and Gen AI technologies.


- Optimize and fine-tune existing models for improved performance and scalability.


- Mentor junior team members and provide guidance on best practices in AI/ML engineering.


- Participate in code reviews and contribute to the development of technical documentation.


Mandatory Skills:


- Strong expertise in Generative AI technologies and frameworks.


- Proficient in programming languages such as Python, R, or Java. Experience with machine learning libraries and tools (e.g., TensorFlow, PyTorch, Scikit-learn).


- Solid understanding of data structures, algorithms, and software engineering principles.


- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI solutions.


Preferred Skills:


- Familiarity with natural language processing (NLP) and computer vision techniques.]


- Experience in working with large datasets and data preprocessing. Knowledge of MLOps practices for model deployment and monitoring.


- Strong analytical and problem-solving skills.


- Excellent communication and collaboration abilities.


 


 


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Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

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