Python Ai/Ml Developer

Overview

Key Responsibilities:

• Develop, deploy, and maintain machine learning models using Python and popular ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Collaborate with data scientists and engineers to design, implement, and optimize AI solutions.
• Build and manage data pipelines to preprocess and transform data for ML models.
• Integrate machine learning models into production systems and APIs using Flask or FastAPI.
• Research, prototype, and implement state-of-the-art algorithms for computer vision, NLP, or predictive analytics.
• Optimize model performance for scalability and efficiency in cloud and edge environments.
• Monitor and troubleshoot deployed models and systems to ensure performance and reliability.
• Document workflows, models, and APIs for internal and external stakeholders.

Required Skills and Qualifications:

• Technical Expertise:
• Strong proficiency in Python and its AI/ML libraries (NumPy, Pandas, Matplotlib, etc.).
• Hands-on experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with NLP, computer vision, or reinforcement learning techniques.
• Experience in working with vector databases (e.g., FAISS, Pinecone, ChromaDB).
• Data Management:
• Proficiency in SQL and experience with databases such as PostgreSQL or MongoDB.
• Knowledge of data cleaning, preprocessing, and feature engineering.
• Development & Deployment:
• Strong understanding of RESTful API development using Flask or FastAPI.
• Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes.
• Cloud and DevOps:
• Experience with cloud platforms (AWS, GCP, or Azure) for ML model deployment.
• Knowledge of CI/CD pipelines for automated testing and deployment.
• Soft Skills:
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.

Job Type: Full-time

Pay: ₹15,000.00 - ₹50,000.00 per month

Schedule:

• Day shift

Education:

• Bachelor's (Preferred)

Experience:

• Python: 1 year (Required)
• total work: 1 year (Required)

Work Location: In person

Expected Start Date: 28/02/2025