Machine Learning Engineer - Generative AI (2-5 yrs)

Job Description :

- Design and develop generative AI models (e.g., GANs, VAEs) to create innovative solutions across various applications.

- Collaborate with data scientists and software engineers to implement machine learning pipelines using AWS services.

- Utilize AWS tools such as SageMaker, Lambda, EC2, ECS and S3 for model training, deployment, and management.

- Preprocess and analyze large datasets to ensure high-quality inputs for machine learning models.

- Optimize model performance and scalability for production environments.

- Monitor and evaluate model performance, implementing improvements as needed.

- Stay up-to-date with the latest advancements in machine learning and generative AI technologies.

- Document methodologies, processes, and best practices for reproducibility and knowledge sharing.

- Design, develop, and implement state-of-the-art generative models for various applications, such as text generation, image synthesis and content creation.

- Experience working on open source LLMs like Llama, Falcon, BERT, Mistral etc., RAG systems and prompt engineering

- Develop and implement robust evaluation metrics to assess the performance and quality of generative models.

- Architecture design and building scalable production systems

- Strong programming skills in languages like Python and proficiency in machine learning libraries.

- Solid understanding of neural network architectures, optimization techniques, and training methodologies

- Work experience on cloud platforms like AWS/Azure.

- Experience with MLOps practices and CI/CD pipelines for machine learning.

- Knowledge of containerization technologies (e.g., Docker, Kubernetes).