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 productive 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 - (Hyderabad)
🏢 Pronix IT Solutions
📍 Hyderabad