Machine Learning Engineer

We are pushing the boundaries of what’s possible with AI and machine learning. We are on the lookout for a dynamic Machine Learning Engineer for one of our clients with a passion for innovation and a flair for integrating cutting-edge AI solutions into robust, scalable systems.Requirement:Minimum 6 years of relevant experience in Machine learning and Artificial Intelligence.Design, develop, and deploy machine learning models and AI solutions, including Large Language Models (LLMs) and Generative AI models.Proven experience in deploying and managing AI/ML models in production environments.Strong programming skills in Python, R, or similar languages, with experience in libraries and frameworks like TensorFlow, PyTorch, Scikit-learn, etc.Hands-on experience with DevOps tools and practices such as Docker, Kubernetes, Jenkins, Git, Terraform, and cloud platforms (AWS, Azure, GCP).Experience with MLOps practices, including model versioning, monitoring, and automated retraining.Solid understanding of cloud-based AI/ML services and infrastructure, including data storage, processing, and orchestration.Familiarity with natural language processing (NLP) techniques, especially related to LLMs and Generative AI.Strong problem-solving skills and the ability to work independently as well as in a collaborative team environment.Excellent communication skills, both written and verbal, with the ability to articulate complex technical concepts to non-technical stakeholders.Optimize and automate the deployment of AI models using DevOps tools and practices such as CI/CD pipelines, containerization, and orchestration.Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.Note: Apply those who are residing in the US with the H1B, GC and US Citizen and are able to work in a C2C contract, and also ready to relocate anywhere in the US.