AI/ML Developer

At oCode Technologies, We are looking for an experienced AI/ML Developer who can design, build, and deploy intelligent systems, machine learning models, and data-driven solutions. The ideal candidate should have strong experience in Python, ML frameworks, and real-world model deployment..

Key Responsibilities

• Develop, train, and deploy machine learning and deep learning models.
• Build scalable AI/ML pipelines, data processing workflows, and automation tools.
• Work with large datasets for data cleaning, feature engineering, and model training.
• Optimize models for performance, accuracy, and scalability.
• Collaborate with developers, data engineers, and product teams to deliver AI-driven features.
• Research and implement state-of-the-art algorithms, tools, and techniques.
• Deploy ML models using cloud platforms (AWS, Azure, GCP) or containerization (Docker).
• Monitor, maintain, and improve deployed models.

Required Skills & Qualifications

• Strong proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn).
• Experience with Deep Learning frameworks (TensorFlow, Keras, PyTorch).
• Knowledge of NLP, Computer Vision, or Generative AI is a strong plus.
• Experience working with REST APIs, data pipelines, and model deployment.
• Understanding of algorithms, statistics, and linear algebra.
• Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, Docker, Git).
• Ability to write clean, optimized, and production-ready code.
• Strong problem-solving and analytical skills.

Education

• Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, Engineering, or equivalent experience.

Preferred Qualifications

• Experience with Large Language Models (LLMs), fine-tuning, vector databases (Pinecone, FAISS).
• Experience deploying models on AWS SageMaker / Azure ML / GCP Vertex AI.
• Knowledge of SQL/NoSQL databases.
• Experience working in Agile environments.

Job Types: Full-time, Permanent

Pay: ₹25,000.00 - ₹50,000.00 per month

Benefits:

• Paid sick time
• Paid time off
• Provident Fund

Experience:

• total work: 3 years (Required)

Work Location: In person