AIML Engineer

Core responsibilities

• Design, build, and maintain machine/ deep learning systems and applications.
• Develop and implement AI solutions using tools like deep learning, neural networks, and generative AI models.
• Clean, preprocess, and analyze large datasets to ensure data quality and integrity.
• Optimize AI algorithms for performance and scalability.
• Deploy models into production environments and manage application pipelines.
• Collaborate with other teams, including data scientists, engineers, and product managers, to define requirements and troubleshoot issues.
• Conduct research on emerging AI technologies and best practices.

Required skills and experience Technical Proficiency:

• Expertise in programming languages like Python, and machine learning libraries such as scikit-learn, TensorFlow, PyTorch and LangChain.
• Machine Learning & Statistics:
• Strong understanding of statistical analysis, machine learning, vectorization, retrieval augmented generation, Gen AI concepts and model evaluation.
• Data Handling:
• Experience with data manipulation, feature engineering, and handling large datasets.
• Software Engineering:
• Knowledge of software architecture, data structures, and algorithms.
• Cloud & AI:
• Experience with cloud AI services (e.g., Google Cloud ML, AWS) and deploying models in cloud or on-prem environments.