We are looking for an experienced AI/ML Engineer with deep expertise in Generative AI, Deep Learning, and Cloud Platforms to join our team. This role requires a strong technical background in designing, developing, and deploying AI/ML models at scale, with a particular focus on cloud-native applications and infrastructure automation. You will collaborate closely with data scientists, product managers, and cross-functional teams to deliver innovative AI-driven solutions that enhance business outcomes.

Key Responsibilities

AI Model Development & Deployment

• Design, develop, and implement machine learning models and Generative AI solutions to solve complex business challenges.
• Utilize state-of-the-art ML frameworks like TensorFlow, PyTorch, and Scikit-learn to build and optimize AI models.
• Work on NLP, Computer Vision, and Deep Learning techniques to enhance AI-driven applications.

Cloud & Infrastructure Automation

• Deploy AI/ML models on cloud platforms such as Azure, AWS, and GCP to ensure scalability, reliability, and efficiency.
• Leverage cloud services like Azure ML, AWS SageMaker, and Google AI Platform for model training, serving, and monitoring.
• Implement Infrastructure as Code (IaC) using Terraform and ARM templates to automate deployments and manage cloud resources efficiently.

Collaboration & Agile Development

• Work closely with data scientists, engineers, and product teams to align AI models with business needs and customer requirements.
• Participate in agile development practices, including sprint planning, daily stand-ups, and iterative improvements.
• Conduct code reviews and design reviews, ensuring best practices in AI/ML development.

Continuous Learning & Innovation

• Stay updated with the latest advancements in Generative AI, NLP, and ML technologies to enhance existing models and workflows.
• Research and experiment with cutting-edge AI techniques to drive innovation and optimize performance.
• Apply emerging trends in cloud computing, MLOps, and automation to improve AI/ML pipelines.

Required Skills & Qualifications

Machine Learning & AI Expertise

• Strong hands-on experience with TensorFlow, PyTorch, Scikit-learn, and deep learning architectures.
• Proficiency in Generative AI techniques such as GANs, Transformers, Large Language Models (LLMs), and Diffusion Models.
• Experience in developing AI models for NLP, speech processing, and computer vision.

Cloud & Deployment Skills

• Hands-on experience with Azure, AWS, or GCP, particularly in AI/ML model deployment.
• Strong knowledge of Azure services such as Azure Functions, App Service, Storage, Cosmos DB, and Azure Machine Learning.
• Familiarity with serverless computing, Kubernetes (AKS/EKS/GKE), and containerized AI solutions.

Software Engineering & MLOps

• Proficient in Python, SQL, and cloud SDKs for AI development.
• Experience in CI/CD pipelines, DevOps, and MLOps best practices.
• Understanding of infrastructure automation with Terraform, ARM templates, and CloudFormation.

Agile & Team Collaboration

• Strong problem-solving skills and ability to work cross-functionally in an agile environment.
• Excellent communication skills to collaborate with stakeholders, engineers, and product teams.
• Ability to write clean, modular, and reusable AI code following best practices.

Why Join Us?

• Work on cutting-edge AI technologies and Generative AI models that make a real-world impact.
• Be part of a highly collaborative team where innovation and learning are encouraged.
• Get access to the latest cloud and AI tools to push the boundaries of ML and automation.
• Competitive salary, benefits, and opportunities for professional growth in AI/ML and cloud computing.

If you are passionate about AI, Machine Learning, Generative AI, and Cloud Technologies, we would love to hear from you! Apply now and become a key contributor to our AI-driven future.