ML Engineer

We are seeking a skilled ML Engineer to design, build, and operationalize AI applications for customers, deploying them into production. The ideal candidate will have experience with AI applications like Document extraction, Conversational AI, Vision AI, NLP or Gen AI, along with expertise in Python and ML libraries. You'll collaborate with data scientists and engineers to analyze and preprocess datasets, evaluate model performance, and build scalable machine learning pipelines on GCP or similar platforms.

Requirements

• At least 5 years of experience in designing & building AI applications for customers and deploying them into production.
• Software engineering experience in building Secure, scalable and performant applications for customers.
• Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI.
• Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment.
• Proven experience building and deploying machine learning models in production environments for real life applications
• Good understanding of natural language processing, computer vision or other deep learning techniques.
• Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain).
• Familiarity with Google Cloud or any other Cloud Platform and its machine learning services.
• Excellent communication, collaboration, and problem-solving skills.