AI/ Machine Learning Engineer

Mid-Level AI/Machine Learning Engineer

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.

Location: flexible to relocate nationwide / relocate in particular time zone Full-time on-site required

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

• 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
• MLOps tools: MLflow, Kubeflow, Airflow, Weights & Biases
• Cloud certifications or AI/ML certifications
• 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

At Cogent Infotech, your ideas matter. Join a purpose-driven organization that celebrates diversity, encourages collaboration, and invests in your future.