Senior AI Engineer

Overview

AI Senior Engineer Responsibilities:

• Lead the design, development, and deployment of advanced machine learning models and algorithms for various applications.

• 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.

• Architect and 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.

• Mentor and provide technical guidance to junior developers and team members.

• 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.

• 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.

Job Type: Full-time

Pay: ₹2,500,000.00 - ₹3,000,000.00 per year

Work Location: In person