Description

 ● At least 5 years of experience in designing & building ML/AI applications for customer and deploying them into pr

 ● At least 8 years of Software engineering experience in building Secure, scalable and performant applications for cu

 .● At least 2 years of experience leading and mentoring ML/data science teams( 4+ team

 ● Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or

 ● Design, develop, and operationalize existing ML models by fine tuning, personali

 ● Evaluate machine learning models and perform necessary

 ● Develop prompts that instruct LLM to generate relevant and accurate re

 ● Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augme

 ● Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM perf

 ● Lead the end-to-end design and architecture of scalable, reliable, and cost-effective Generative AI solutions. This includes designing RAG (Retrieval-Augmented Generation) pipelines, agentic workflows, and model fine-tuning str

 ● Hands on customer experience with RAG solution or fine tuning of LL

 ● Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CR

 ● 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 dep

 ● Act as the senior-most developer, writing clean, high-quality, and scalable code. This includes building core components for prompt engineering, vector search, data processing, model evaluation, and inference

 ● Proven experience building and deploying machine learning models in production environments for real life appl

 ● Good understanding of natural language processing, computer vision or other deep learning tec

 ● Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, Lan

 ● Familiarity with Google Cloud or any other Cloud Platform and its machine learning s

 ● Excellent communication, collaboration, and problem-solving

skills.
 

 ● Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or eq

 ● Experience of working with one or more public cloud platforms - namely GCP, AWS

 ● Experience with AutoML and vision te

 ● Master’s degree in statistics, machine learning or relate

Key Skills

Education

Master's degree