AI Engineer

(3-5 Years) Role Summary: As an AI Developer, you will be responsible for designing, developing, and deploying AI-powered solutions while working closely with software engineers, and Tech architects. You will play a crucial role in integrating AI models into web applications, microservices, and cloud-based infrastructures. Key Responsibilities: Design, develop, and maintain AI-driven web applications using the PERN/MERN stack (MongoDB, PostgreSQL, Express, React, Node.js). Develop AI models from initial conception to production deployment, ensuring scalability and efficiency. Build and optimize AI algorithms and applications for business use cases. Prepare high-level technical designs and architectural decisions, especially for AWS serverless architecture and microservices. Implement secure, reliable, and scalable solutions using AWS services (Lambda, S3, API Gateway, DynamoDB, RDS, ECS, SQS, SNS). Design and manage CI/CD pipelines to enable continuous integration and automated deployments. Collaborate with the data science team to integrate AI models into web platforms and APIs. Ensure AI applications adhere to regulatory, security, and ethical standards. Stay up to date with the latest AI, ML, and cloud technologies to drive innovation. Present technical findings and recommendations to stakeholders, both technical and non-technical.. Required Skills & Qualifications: Proven experience as an AI Developer, Machine Learning Engineer, or similar role. Strong proficiency in Python or Java for AI development. Experience with machine learning frameworks (TensorFlow, PyTorch, Keras) and libraries (scikit-learn). Solid knowledge of mathematics, statistics, and algorithms for AI applications. Strong experience in PERN/MERN stack (MongoDB, PostgreSQL, Express, React, Node.js) for developing AI-driven web applications. Hands-on experience with AWS services for serverless computing, microservices, and cloud-based AI deployments. Understanding of REST APIs, GraphQL, and API integrations for AI solutions. Experience with CI/CD pipelines, containerization (Docker, Kubernetes), and cloud deployments. Familiarity with Big Data platforms, data pipelines, and database management. Exposure to AI-driven bots (chatbots, mailbots, voicebots) is a plus. Strong analytical thinking and problem-solving abilities. Excellent communication skills and ability to present technical insights to stakeholders. Fluent in English (reading, writing, speaking). Bachelor s or Master s degree in Computer Science, Engineering, Data Science, or a related field. Preferred Qualifications: Experience with MLOps for deploying and managing AI models. Background in Natural Language Processing (NLP) or Computer Vision. Hands-on experience with IBM Watson, Azure AI, AWS AI services. Experience in cybersecurity AI applications. Working knowledge of serverless computing environments (AWS Lambda, Google Cloud Functions).