AI/ML Engineer With Generative AI

As an AI/ML Engineer specializing in Generative AI, you will be responsible for designing, developing, and deploying cutting-edge generative models and solutions that drive key product features and

innovations. You will collaborate with cross-functional teams to build AI systems that deliver high-quality, scalable, and impactful solutions. Your expertise in machine learning, deep learning, and

generative models will be crucial in helping us push the boundaries of what is possible with AI.

Roles & Responsibilities

• Design, develop, and deploy advanced AI/ML models, with a focus on Generative AI solutions and RAG Architectures.
• Architect and implement scalable machine learning pipelines for model training and deployment.
• Conduct research and stay up-to-date with the latest advancements in AI/ML and Generative AI technologies.
• Develop and maintain documentation for AI/ML models, processes, and tools.
• Collaborate with data engineers, data scientists, and product teams to identify opportunities and translate business needs into technical solutions.
• Optimize and fine-tune algorithms for performance, scalability, and robustness in production environments.
• Lead the technical vision and direction for generative AI projects, ensuring alignment with business objectives.
• Provide mentorship and technical guidance to junior engineers and contribute to the teams growth.
• Conduct thorough tests and experiments on machine learning models to ensure their reliability and effectiveness.
• Participate in code and design reviews to maintain high standards of software quality.
• Ensure compliance with best practices in data privacy and security.

• Expertise in natural language processing (NLP), neural networks, and deep learning technologies.
• Experience with large language models (LLMs) and their applications.
• Experience with cloud computing platforms (Oracle Cloud Infrastructure, AWS, Google Cloud , Azure) and container orchestration tools (Docker, Kubernetes).
• Familiarity with data preprocessing, augmentation, and feature engineering techniques.
• Experience with version control systems like Git and collaborative tools such as JIRA or Confluence.
• Knowledge of Reinforcement Learning and other advanced AI methodologies.

• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Minimum of 8 years of experience in machine learning, with at least 1-2 years of hands-on experience in Generative AI.
• Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Strong programming skills in Python and familiarity with other languages such as C++ or Java.
• Demonstrated experience in deploying machine learning models to production.
• Strong understanding of algorithms, data structures, and software engineering principles.
• Excellent problem-solving skills and the ability to work independently as well as collaboratively.
• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
• Certifications in AI/ML and Generative AI are a plus.

8-12 Years