AI/ML Developer

Role Overview

We are seeking a skilled AI/ML Developer with 2–3 years of experience in designing, building, and deploying machine learning models and AI-driven solutions to solve real-world business problems and support a growing product ecosystem.

Responsibilities

• Design, develop, train, and evaluate machine learning and deep learning models to solve business problems.
• Collaborate with data engineers and product teams to gather, clean, and preprocess large datasets for model development.
• Develop and deploy AI/ML models into production environments using APIs and cloud-based services.
• Write clean, efficient, and well-documented code following best practices in Python and relevant ML frameworks.
• Ensure the performance, scalability, and accuracy of deployed models across use cases and data volumes.
• Identify and resolve issues related to model drift, bias, and performance bottlenecks.
• Implement data pipelines for training, validation, and inference using tools such as Pandas, NumPy, and SQL.
• Integrate third-party APIs, pre-trained models, and open-source libraries into existing systems.
• Manage model versioning, experimentation tracking, and deployment lifecycle using MLOps practices.
• Participate in code reviews and maintain coding standards across the team.
• Stay up to date with the latest industry trends, research papers, tools, and AI/ML best practices.
• Prepare technical documentation and support project deployment activities.
• Follow Agile/Scrum practices, including sprint planning, daily stand-ups, and retrospectives.
• Ensure data security, model scalability, and adherence to performance and ethical AI best practices.

Requirements

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
• 2–3 years of hands-on experience in machine learning, deep learning, or AI model development.
• Must have own Laptop.

Skills

• Python
• TensorFlow
• PyTorch
• Scikit-learn
• Docker

Nice to Have

• Experience with NLP or Computer Vision frameworks such as spaCy, OpenCV, or Hugging Face Transformers.
• Hands-on experience deploying models using Docker, Kubernetes, or cloud ML services (AWS SageMaker, Azure ML, GCP Vertex AI).
• Strong understanding of the Machine Learning Development Lifecycle (MLDLC).

Benefits

• Competitive salary (₹18,000.00 - ₹40,000.00 per month)
• Career growth and learning opportunities
• Health benefits
• Collaborative work environment