Key Responsibilities
- Design and implement end-to-end AI/ML solutions from data ingestion to deployment.
- Build and optimize machine learning and deep learning models for real-world applications.
- Architect scalable and secure AI systems using cloud platforms.
- Work on Generative AI use cases including LLMs, prompt engineering, and fine-tuning.
- Collaborate with cross-functional teams to translate business requirements into AI solutions.
- Develop and manage data pipelines and model lifecycle (MLOps).
- Ensure model performance, scalability, reliability, and monitoring in production.
- Stay updated with emerging AI trends and evaluate new tools/technologies.
- Mentor junior engineers and guide best practices in AI development.

Required Skills
- Strong proficiency in Python and AI/ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Experience with Machine Learning,



Deep Learning, and NLP.
- Hands-on experience with Generative AI (LLMs, embeddings, prompt engineering).
- Knowledge of MLOps tools (MLflow, Kubeflow, Azure ML, etc.).
- Knowledge of cloud platforms (Azure, AWS, or GCP).
- Understanding of data engineering concepts and working with large datasets.
- Familiarity with APIs, microservices, and containerization (Docker, Kubernetes).
- Solid problem-solving and analytical skills.

Nice to Have
- Certifications in AI/ML or cloud platforms.
- Experience working on production-grade AI systems.
- Contributions to open-source AI projects.
- Azure Foundry and Databricks Agent bricks are good to have

📌 Immediate Opening For an AI Engineer (Chennai)
🏢 KnackForge Soft Solutions
📍 Chennai