AI Engineer

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).

Drop your CVs to joinourteam@accorian.com