Senior Machine Learning Engineer
1 month ago
mavQ is a low-code Artificial Intelligence platform that enables organizations to build fast, cohesive, and user-friendly applications to digitally transform while creating valuable insights.
Job SummaryWe are seeking a highly skilled Senior Machine Learning Engineer to join our team. As a key member of our AI engineering team, you will be responsible for productionalizing machine learning models for customers and products, managing model deployment through CI/CD pipelines, and researching and developing Large Language Models (LLMs) and Transformer models in various domains.
Responsibilities- Productionalize machine learning models for customers and products
- Manage model deployment through CI/CD pipelines, monitor performance, and utilize log analysis
- Research and develop Large Language Models (LLMs) and Transformer models in images, video, text, audio, and structured data domains
- Provide technical reviews of AI models and implementations, and offer feedback, mentorship, and optimization 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
- Develop Proof of Concepts to quickly implement new business use cases
- Collaborate with a team of ML Engineers, Project managers, Software Developers, Engineering Team, and stakeholders to drive innovation of scalable ML and AI
- Bachelor's or Master's 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
- Good to have experience in Databases
- Group Medical Insurance (Family Floater Plan - Self + Spouse + 4 Dependent Children)
- 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)
- Sum Insured: INR. 25,00,000/- Per Employee
- Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
- Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
- Temporary Total Disability is covered
- An option of Food Wallet (up to Rs. 2500) as a tax saver benefit
- Monthly Internet Reimbursement of up to Rs. 1,000
- Professional Development opportunities through various mavQ sponsored certifications on multiple technology stacks including Google Cloud, AWS & others
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