AI/ML Engineers

AI/ML Engineers1

• AI/ML (Artificial Intelligence/Machine Learning) engineers with 3+ years of experience and having knowledge of Python, Microsoft OpenAI, and GitHub Copilot, along with AWS (Amazon Web Services) cloud experience.
• Design, implement, and optimize machine learning algorithms using Python to solve complex business problems.
• Build Prototypes, demos and Gen AI and AI/ML Solutions.
• Leverage Microsoft OpenAI and GitHub Copilot for enhanced code suggestions and collaboration.
• Train, evaluate, and fine-tune machine learning models on large datasets using frameworks like TensorFlow or PyTorch.
• Utilize OpenAI's models for natural language processing tasks and generate code snippets with Copilot to expedite development.
• Perform data preprocessing tasks, including cleaning, normalization, and feature engineering, to prepare datasets for machine learning models.
• Use Python libraries and tools to extract meaningful features from raw data.
• Deploy and manage machine learning models on AWS cloud infrastructure.
• Utilize AWS services like SageMaker for model training, deployment, and monitoring.
• Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders.
• Document code, models, and processes to ensure transparency and facilitate knowledge transfer.
• Implement CI/CD pipelines to automate the testing, deployment, and monitoring of machine learning models.
• Use GitHub Copilot to enhance code quality and efficiency in the development lifecycle.
• Monitor the performance of deployed models and optimize them for scalability, speed, and accuracy.
• Implement best practices for model versioning and management.
• Ensure that machine learning solutions adhere to security standards and compliance requirements.
• Implement secure coding practices and data protection measures.
• Stay updated on the latest advancements in AI/ML, Python, OpenAI, and cloud technologies.
• Experiment with new models, techniques, and tools to drive innovation within the team.
• Troubleshoot and debug issues related to machine learning models, Python code, and cloud infrastructure.
• Collaborate with support teams to address production issues promptly.
• Provide guidance and training to team members on AI/ML best practices, Python coding standards, and effective use of OpenAI and Copilot.
• Conduct workshops or knowledge-sharing sessions within the organization.
• Optimize cloud resources to ensure cost-effectiveness in model training and deployment on AWS.
• Requirements
• Proficiency in python, Gen AI, Microsoft OpenAI, and GitHub Copilot, along with AWS
• Strong knowledge of Python, TensorFlow and PyTorch
• Strong knowledge of NLPs like Microsoft OpenAI and Copilot
• Knowledge of cloud platforms like Amazon Web Services.
• Solid understanding of SQL and data manipulation techniques for data extraction, transformation, and loading.
• Ability to understand business requirements and translate them into meaningful solutions.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills to work effectively with business users, data analysts, and other stakeholders.

Educational Qualifications

• Bachelor's degree in computer science, software engineering, mathematics, or a related field is often the minimum requirement
• Knowledge of Data science will be added advantage.