AI Engineer
Exp: 1-2 years
ISKCON Bangalore Rajajinagar
Department: Information Technology
About the Job
An AI Engineer develops, tests, and deploys machine learning models and AI systems, bridging the gap between data science and production software. Key responsibilities include building API-driven AI applications, implementing LLMs, optimizing models for performance, and collaborating across teams to solve business problems.
Key Responsibilities
- Model Development & Deployment: Build, train, and deploy AI/ML models (e.g., NLP, computer vision, deep learning) and integrate them into production systems.
- Data Pipeline Engineering: Create and manage scalable data pipelines and infrastructure for AI.
- Application Integration: Develop API-based AI applications using frameworks like LangChain and integrate LLMs or pre-trained models via platforms like Hugging Face.
- Optimization: Optimize models for speed, accuracy, and scalability.
- Cross-functional Collaboration: Work with data scientists and engineers to align AI solutions with business objectives.
- Research: Stay updated on advancements in AI/ML to identify new opportunities for innovation
Required Experience and Skills
- Programming Languages: Proficiency in Python, Java, or C++.
- AI/ML Frameworks: Experience with TensorFlow, PyTorch, Keras, or Scikit-learn.
- Data Handling: Strong proficiency in SQL, Pandas, and NumPy.
- Cloud & DevOps: Knowledge of cloud platforms (AWS SageMaker, Azure ML) and containerization tools like Docker.
- Education: Bachelor’s or Master’s in Computer Science, Data Science, or related fields.
