AI/ML Solutions Engineer -

Job highlights

• Required Skills & Qualifications: . Education: Bachelors / Masters in Computer Science,AI / ML,or a related field
• Version Control: Experience with Git / GitHub/GitLab . . Soft Skills: Strong problem-solving ability,communication,and willingness to learn. .

We are looking for a highly motivated AI/ML Solutions Engineer with Full Stack Development and REST API expertise. The ideal candidate has completed AI/ML training and is eager to work on innovative AI-driven applications, APIs, and web solutions.

Responsibilities:

• Develop and deploy AI/ML models using TensorFlow, PyTorch, or Scikit-learn.
• Design and build RESTful APIs to integrate AI services with applications.
• Work on Full Stack Development using Python (Django/Flask), JavaScript (React.js/Node.js).
• Implement and optimize ML pipelines for data processing and model training.
• Develop and maintain databases (SQL/NoSQL PostgreSQL, MongoDB).
• Deploy models on AWS/GCP/Azure using services like Lambda, SageMaker, or Vertex AI.
• Collaborate with data scientists and engineers to enhance AI-driven applications.
• Write clean, scalable, and efficient code following best practices.
• Conduct testing, debugging, and performance tuning for AI applications.
• Use Docker & Kubernetes for containerization and model deployment.

Required Skills & Qualifications:

• Education: Bachelors/Masters in Computer Science, AI/ML, or a related field.
• AI/ML Skills: Hands-on experience with Supervised, Unsupervised Learning, NLP, Computer Vision .
• Full Stack Development: Proficiency in Python, Django, Flask, React.js, Node.js .
• REST API Development: Experience in building and consuming APIs using FastAPI, Flask, or Express.js .
• Databases: Knowledge of SQL (PostgreSQL, MySQL) & NoSQL (MongoDB, Firebase) .
• Cloud Platforms: Familiarity with AWS, Azure, GCP (e.g., Lambda, EC2, Cloud Functions).
• MLOps: Basic understanding of CI/CD, Docker, Kubernetes, MLflow, TensorBoard .
• Version Control: Experience with Git/GitHub/GitLab .
• Soft Skills: Strong problem-solving ability, communication, and willingness to learn.