AI/ML Solutions Architect

3 weeks ago


Noida, India Om Careers Full time

Key Responsibilities :


Technical Description and Responsibilities :


- Develop AI/ML Solutions : Design and implement machine learning algorithms and models for enterprise-level solutions on Azure/AWS cloud platforms.

- Communicate Effectively : Collaborate with clients to understand their needs and brainstorm solutions, ensuring effective communication of complex technical concepts.

- Research and Development : Conduct research and development on AI/ML implementations, focusing on state-of-the-art techniques and frameworks.

- Confidential Data Handling : Implement RAG architecture for the secure use of confidential data.

- Deep Learning Techniques : Apply deep learning techniques and leverage machine learning expertise to drive business outcomes.

- Model Optimization : Fine-tune large language models (LLMs) for optimal performance and develop generative AI models using cutting-edge techniques and frameworks.

Collaboration and Teamwork :

- Collaborate with cross-functional teams to understand project requirements and design solutions that address business needs.

- Stay updated with the latest advancements in AI research and technology, contributing to knowledge sharing within the team.

- Participate in code reviews, documentation, and knowledge transfer sessions to ensure high-quality deliverables and effective collaboration.

Qualifications :

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

- 3-5 years of experience in implementing ML/AI solutions for enterprise level on Azure/AWS cloud.

- Strong programming skills in languages such as Python, with experience in data science.

- Proficiency in generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and related architectures.

- Good understanding of machine learning concepts, algorithms, and methodologies.

- Experience with data preprocessing, model training, and evaluation using large-scale datasets.

- Excellent problem-solving skills and the ability to work independently as well as part of a team.

- Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.

- Experience in healthcare and life sciences is a plus.

- Familiarity with MLOps, AIOps, and LLMOps is beneficial

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