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.