AI Engineer(3-5 years)
2 weeks ago
Key Responsibilities:
- Design, develop, and deploy robust and scalable AI/ML models and GenAI solutions
- Implement ML workflows including data preprocessing, feature engineering, model training, validation, and deployment
- Develop and optimize data pipelines for training and inference
- Integrate LLMs using prompt engineering techniques to solve domain-specific problems
- Collaborate with cross-functional teams for solution prototyping using low-code/no-code or rapid development tools
- Ensure ML model monitoring, versioning, and lifecycle management through MLOps practices
- Leverage cloud services (AWS, Azure, or GCP) to build and scale AI/ML solutions
- Research and experiment with Agentic AI and other emerging technologies as applicable
Required Skills & Qualifications:
- 4–6 years of experience in AI/ML development and deployment
- Strong proficiency in Python and ML/DL frameworks such as TensorFlow or PyTorch
- Proven experience working with Generative AI, LLMs, and prompt engineering
- Experience building and managing data pipelines and implementing MLOps
- Hands-on experience with cloud platforms (AWS, Azure, or GCP)
- Exposure to low-code/no-code platforms or rapid prototyping tools
- Strong problem-solving skills and the ability to work in a fast-paced environment
- Excellent communication and collaboration skills
Preferred Qualifications:
- Experience or research in Agentic AI systems
- Familiarity with API integrations, vector databases, and model fine-tuning techniques
- Contributions to open-source AI/ML projects or published research is a plus
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