AI Engineer

Technical Skills:-

• 2 years of hands-on experience in AI and machine learning engineering.
• Proficiency in Python, SQL, NoSQL (e.g., MongoDB, Cassandra), and relevant AI/ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers).
• Solid understanding of OOPS concept, machine learning algorithms, deep learning architectures (e.g., CNNs, RNNs, Transformers), and data processing techniques.
• Practical experience with NLP techniques and applications.
• Strong understanding of statistical concepts, probability, and hypothesis testing.
• Strong communication and collaboration skills to effectively convey technical concepts.
• A Bachelors or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Familiarity with RAG, CAG, and RAR techniques is preferred.

Good to have: -

• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.
• Familiarity with MLOps best practices and tools is a plus.
• Experience deploying and managing AI solutions on cloud platforms (Azure, GCP, or AWS) and cloud services.