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.

AI/ML Solutions Engineer -

Job Description

No Referrers Available