AI/ML Engineer
4 days ago
Job Title: AI/ML Engineer (Python + FastAPI)
Job Type : Permanent ( Fresher/ upto 1 yr experience)
Job Summary:
We are seeking a skilled AI/ML Engineer with strong expertise in Python and FastAPI to design, develop, and deploy machine learning models into scalable production environments. The ideal candidate will have hands-on experience in building data-driven solutions, developing RESTful APIs, and integrating AI/ML models with backend systems.
Key Responsibilities:
- Design, train, and optimize machine learning models using Python-based frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Build and maintain FastAPI-based microservices to serve AI/ML models in production.
- Develop robust API endpoints for inference, monitoring, and data collection.
- Work closely with data scientists to convert research models into production-ready services.
- Implement data preprocessing, feature engineering, and model evaluation pipelines.
- Optimize model performance, latency, and scalability for real-world deployment.
- Integrate APIs with front-end applications, cloud platforms, and databases (e.g., AWS, GCP, Azure).
- Ensure best practices in version control (Git), CI/CD, testing, and containerization (Docker/Kubernetes).
- Collaborate cross-functionally with product managers, analysts, and other engineers to deliver AI-powered features.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- Strong proficiency in Python and experience with FastAPI framework.
- Solid understanding of machine learning algorithms, model evaluation, and data preprocessing.
- Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Hands-on experience with RESTful API development and integration.
- Familiarity with SQL/NoSQL databases and data pipelines.
- Experience deploying models using Docker, Kubernetes, or cloud services (AWS Sagemaker, GCP AI Platform, etc.).
- Knowledge of Git, CI/CD pipelines, and API documentation tools (Swagger/OpenAPI).
- Strong problem-solving and debugging skills, with attention to scalability and performance.
Preferred Qualifications:
- Experience with MLOps tools (MLflow, DVC, Airflow, Kubeflow).
- Understanding of asynchronous programming in Python (async/await).
- Experience in NLP, computer vision, or deep learning applications.
- Prior exposure to real-time inference systems or streaming data (Kafka, Spark).
Soft Skills:
- Strong analytical and critical thinking abilities.
- Excellent communication and teamwork skills.
- Self-motivated, detail-oriented, and capable of working independently in a fast-paced environment.
Apply :
Interested Candidate may fill this google link or send resume to
Job Types: Full-time, Permanent, Fresher
Pay: ₹8, ₹12,000.00 per year
Benefits:
- Paid sick time
- Paid time off
- Provident Fund
Work Location: In person
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