- Employment type: Full Time
- Experience: 5+ years
- Salary: 6L to 7L Yearly
- Location: Remote
- Work timing: 9:15 AM to 6:15 PM IST
- Working Days: 5 Days
- Education: Any Degree
Key Responsibilities
• Design, build, and deploy AI/ML models for use cases such as recommendation engines, NLP, computer vision, forecasting, and predictive analytics.
• Lead model experimentation, validation, and optimization efforts to ensure performance and accuracy.
• Develop and maintain MLOps pipelines for model versioning, deployment, and monitoring.
• Collaborate with data scientists, data engineers, and software developers to integrate models into production systems.
• Stay updated with the latest AI research and industry trends and translate them into actionable projects.
• Mentor junior engineers and contribute to AI best practices and coding standards.
• Ensure ethical AI usage, data privacy, and bias mitigation in models and datasets.
Required Qualifications
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field. PhD is a plus.
• 5+ years of experience in AI/ML model development and deployment.
• Proficiency in Python and relevant libraries such as TensorFlow, PyTorch, scikit-learn, Hugging Face, etc.
• Strong knowledge of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and data preprocessing techniques.
• Experience with cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes).
• Familiarity with data pipelines, SQL/NoSQL, and scalable data platforms.
• Solid understanding of MLOps practices, CI/CD for ML, and tools like MLflow, Kubeflow, or SageMaker.
Preferred Skills
• Experience with LLMs and Generative AI (e.g., GPT, BERT, Stable Diffusion).
• Domain knowledge in [insert industry : e.g., healthcare, fintech, retail].
• Knowledge of Edge AI, reinforcement learning, or real-time inference systems.
• Contributions to open-source projects, patents, or AI publications.
