Technical Consultant

2 months ago

Noida, India Om Careers Full time

Role : Technical Description and Responsibilities :


- Experience in implementation of ML/AI solutions for enterprise level on Azure/AWS cloud

- Communicate effectively with clients on brainstorming the solutions

- Conduct research and development majorly on AI/ML implementations

- Implement RAG architecture for confidential data use case

- Apply deep learning techniques and machine learning experience

- Fine tune LLM for optimal performance

- Develop and implement generative AI models using state-of-the-art techniques and frameworks

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

- Research and experiment with new AI algorithms, architectures, and tools to improve model performance and capabilities

- Train, evaluate, and fine-tune generative models using large datasets to achieve desired outcomes

- Optimize model inference and deployment pipelines for efficiency and scalability in production environments

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

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

- Good to have - experience in healthcare and life sciences to relevant projects

- Leverage MLOps and LLMOps experience to optimize operations

- Act as a hands-on leader with GenAI and Machine Learning experience

Qualifications :

- Bachelor's or Master's degree in Computer Science, Engineering, or 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

- Good to have certifications in AI/ML or related fields (ref:hirist.tech)

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