3–7 years of experience in ML/AI/MLOps/AI Engineering
Strong programming in Python (PyTorch, TensorFlow, scikit-learn)
Experience with LLMs, prompt engineering, vector databases and RAG frameworks
Knowledge of Docker, Kubernetes, CI/CD and cloud ML services
Requirements:
Design, train and deploy ML and GenAI models for real-world applications
Build LLM-based applications, RAG pipelines and AI-powered APIs
Develop scalable MLOps pipelines for model training, validation, CI/CD and monitoring
Work with cloud platforms (AWS, Azure, GCP) and GPU/accelerated workloads
Job description
About the Company Join one of the top 10 global powerhouses transforming the future of Market. As an AI / Machine Learning Engineer, you’ll play a key role in designing, developing, and deploying intelligent systems that support millions of users worldwide. From building scalable machine learning models and data pipelines to deploying AI solutions on cloud platforms, this is your opportunity to make a global impact with next-generation, data-driven systems. Whether you're a model builder, problem-solver, or technical leader, this team values engineers who bring innovation, collaboration, and a passion for applying AI at scale.
Job Title: Mid-Level AI/ Machine Learning Engineer Location: flexible to relocate nationwide / relocate in particular time zone
Full-time on-site required Summary Build Intelligent Systems That Make an Impact! We’re looking for mid-level AI professionals (3–7 years’ experience) who are passionate about building, deploying and scaling AI and Generative AI solutions in production environments. Open Roles
Machine Learning Engineer
AI / GenAI Engineer
MLOps / AI Platform Engineer
AI Application Engineer
What You’ll Do Depending on the role, you will:
Design, train and deploy ML and GenAI models for real-world applications
Build LLM-based applications, RAG pipelines and AI-powered APIs
Develop scalable MLOps pipelines for model training, validation, CI/CD and monitoring
Work with cloud platforms (AWS, Azure, GCP) and GPU/accelerated workloads
Integrate AI models into web and backend applications
Monitor model performance, drift and reliability in production
What We’re Looking For (Mid-Level)
3–7 years of experience in ML / AI / MLOps / AI Engineering
Strong programming in Python (PyTorch, TensorFlow, scikit-learn)
Experience with LLMs, prompt engineering, vector databases and RAG frameworks
Knowledge of Docker, Kubernetes, CI/CD and cloud ML services
Experience with APIs, microservices and production deployments
Preferred Skills & Certifications
Experience with OpenAI, Azure OpenAI, Vertex AI, Bedrock, Hugging Face
Exposure to data pipelines, streaming and feature stores
Cogent Infotech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment where everyone feels welcome and valued. We encourage applications from individuals of all backgrounds, identities, abilities, and experiences. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply
Join Us At Cogent Infotech, your ideas matter. Join a purpose-driven organization that celebrates diversity, encourages collaboration, and invests in your future.
