AI Engineer

3 weeks ago

Gurugram, India Milliman Full time

POSITION SUMMARY

We are seeking a dynamic and innovative Artificial Intelligence (AI) Developer with a strong full-stack web development background and expertise in leveraging cloud APIs. In this role, you will design and build intelligent systems that blend cutting-edge AI techniques with scalable web application architectures. Working closely with cross-functional teams, including data scientists, software engineers, and product managers, you will develop end-to-end solutions that enhance business operations and deliver exceptional user experiences.

RESPONSIBILITIES

Full-Stack Development: Architect, design, and develop both frontend and backend components of AI-driven web applications. Build responsive, user-friendly interfaces using modern JavaScript frameworks (e.g., React, Angular, or Vue.js) and robust backend services (e.g., Node.js, Django, or .NET). Cloud API Integration: Develop and integrate secure RESTful and GraphQL APIs to connect AI models with cloud services and third-party systems. Leverage cloud platforms (AWS, Azure, or GCP) to deploy and manage scalable applications and services. AI and Machine Learning Solutions: Collaborate with data scientists to integrate machine learning models, natural language processing, computer vision, and other AI techniques into web applications. Optimize AI workflows by ensuring seamless data exchange and efficient model inference across the technology stack. DevOps & Deployment: Implement CI/CD pipelines, containerization (e.g., Docker, Kubernetes), and automated testing to ensure efficient, reliable releases. Monitor application performance and troubleshoot issues in real time to maintain high-quality production environments. Collaboration & Documentation: Work closely with cross-functional teams to gather requirements, deliver project updates, and ensure solutions align with business needs. Document development processes, API specifications, and integration practices to support future enhancements and maintenance.

SKILLS & QUALIFICATIONS REQUIRED

Degree in Computer Science, Data Science, Engineering, or related field. The ideal candidate must have a minimum of 5 years of experience with full stack development and a minimum of 2 years with AI development. The ideal candidate must have hands on experience in multiple programming languages, including Python, JavaScript (or TypeScript), and/or C#. The ideal candidate must have hands on experience with front-end frameworks (e.g., React, Angular, or Vue.js) and backend development (e.g., Node.js, Django, or .NET). The ideal candidate must have an In-depth knowledge of cloud platforms (AWS, Azure, or GCP) and experience building and integrating cloud APIs. The ideal candidate must have hands-on experience with containerization and orchestration tools (Docker) and version control systems (Git). The ideal candidate must have hands-on experience with data management, including data transformation and storage. Must understand AI ethics, model interpretability, and scalable AI deployment practices. Must have strong problem-solving, analytical, and communication skills. Must have the ability to work effectively both independently and as part of a collaborative, agile team. Must be detail-oriented with strong organizational skills and a passion for continuous learning and innovation.

SKILLS & QUALIFICATIONS PREFERRED

Bachelor's degree or higher in a relevant field. Experience with NLP, computer vision, or reinforcement learning. Familiarity with MLOps practices and tools. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn) and data processing libraries (e.g., Pandas, NumPy). Prior experience in developing enterprise-level full-stack applications and cloud-native solutions. Exposure to agile methodologies and DevOps best practices.

This role is perfect for a developer who thrives at the intersection of AI and full-stack web development—someone who can create robust, intelligent systems that scale in the cloud while delivering intuitive, responsive user experiences.

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