Leading Artificial Intelligence Innovator

2 weeks ago


HyderabadJaipur, India mavQ Full time

About mavQ: We are a cutting-edge low-code AI platform that empowers organizations to build fast, user-friendly applications for digital transformation and valuable insights. Our innovative products include Intelligent document processing, a contact center platform, electronic research administration tools, DataX – a data orchestration and pipeline tool with a built-in machine learning workbench, and more.

What We Offer: As a Senior Machine Learning Engineer at mavQ, you will be part of our team driving innovation in scalable ML and AI. Our comprehensive benefits package includes Group Medical Insurance (Family Floater Plan - Self + Spouse + 4 Dependent Children) with Sum Insured: INR 5,00,000, Maternity cover up to two children, inclusive of COVID-19 Coverage, Cashless & Reimbursement facility, Access to free online doctor consultation, Personal Accident Policy (Disability Insurance), and more.

Responsibilities: Your key responsibilities will include productionalizing machine learning models for customers and products, managing model deployment through CI/CD pipelines, monitoring performance, and utilizing log analysis; experience with Kubernetes is required. You will also conduct Research and Development in Large Language Models (LLMs) and Transformer models in images, video, text, audio, and structured data domains, provide technical reviews of AI models and implementations, offer feedback, mentorship, and optimisation best practices to the team, maintain and update production AI models based on feedback from stakeholders, define and implement evaluation strategies for each model, demonstrate applicability and performance of the model, effectively communicate with customers and collaborate with cross-functional teams.

Requirements: To be successful in this role, you will need a Bachelors or Masters degree in a quantitative field such as Computer Science, IT, Stats/Maths, 5-7 years of experience in the field of artificial intelligence and demonstrated successful implementation of industry-grade AI solutions in the past, experience in multi-modal neural networks, transformers, computer vision, document AI, and other emerging areas in AI, programming experience in one or more of the following: Python toolkits such as Tensorflow, Keras, PyTorch, SciKit, ability to collaborate with a team of AI engineers in an agile development environment, good to have experience with GCP / Microsoft Azure / Amazon Web Services, good to have experience on MLOps methodologies and tools like Kube Flow / Airflow / TFX, and good to have Experience in Databases.



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