Generative AI Engineer - Machine Learning Models (4-6 yrs)

Responsibilities :

- Perform comprehensive data analysis, feature engineering, and model training with large and complex datasets.

- Collaborate with cross-functional teams to understand business requirements and translate them into sophisticated technical solutions.

- Optimize deep learning models, including CNNs, RNNs, GANs, and transformer-based models.

- Develop and maintain scalable and efficient machine learning pipelines and infrastructure.

- Conduct thorough model evaluation, validation, and testing to ensure high performance and accuracy.

- Stay at the forefront of AI/ML advancements and integrate cutting-edge techniques into existing and new projects.

- Implement Gen-AI solution with latest tech stacks

- Author and maintain detailed documentation of processes, methodologies, and best practices.

- Implement and optimize cutting-edge deep learning models, such as Generative

- Adversarial Networks (GANs) and transformer architectures (e.g., BERT, GPT).

- Develop and deploy reinforcement learning models.

- Explore and implement federated learning approaches to build AI/ML models while preserving patient data privacy and security.

- Integrate explainable AI (XAI) techniques to ensure transparency and interpretability of machine learning models.

Requirements :

- Extensive experience in developing and deploying machine learning models in a production environment.

- Advanced proficiency in programming languages such as Python, R.

- Expert knowledge of machine learning frameworks and libraries such as TensorFlow,

- PyTorch, Scikit-learn, Transformer, Keras and others.

- Demonstrated expertise in natural language processing (NLP), computer vision, and reinforcement learning and Gen AI.

- Proficiency in data manipulation and analysis using tools like Pandas, Dask, NumPy, and SQL.

- In-depth experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.

- Strong problem-solving skills with the ability to tackle complex technical challenges independently or as part of a team.

- Exceptional communication skills, both written and verbal, to effectively convey complex technical concepts to non-technical stakeholders.

Desirable Skills :

- 4+ years of experience with AI / ML solutions

- Highly motivated/self-starter with a sense of ownership, willingness to learn, and desire to succeed.