Artificial Intelligence and Machine Learning Engineer

AI / ML Engineer

Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Python (Programming Language)
Good to have skills : Microsoft Azure DevOps
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring high-quality standards are met. You will also explore innovative approaches to integrate generative AI models into various applications, contributing to advancements in deep learning, neural networks, and image processing. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the AI landscape.

Roles & Responsibilities:
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Mentor junior team members to enhance their skills and knowledge.
- Continuously evaluate and improve existing processes to increase efficiency.
- Experience in Python development, Fast APIs-numpy, Pandas,Django etc Databricks, PostgreSQL, Maven/Gradle, Git, pipelines (Azure DevOps/GitHub Actions/Jenkins), Containers Docker basic Kubernetes skills (deployment, config maps, secrets). Microsoft Azure(App Service, AKS, Azure SQL, Key Vault, Storage, Application Insights)Messaging/Streaming- Kafka/RabbitMQ asynchronous processing, Caching

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Python (Programming Language).
- Good To Have Skills: Experience with Microsoft Azure DevOps.
- Strong understanding of machine learning frameworks such as TensorFlow or PyTorch.
- Experience in developing and deploying AI models in cloud environments.
- Familiarity with data preprocessing and feature engineering techniques.
- Knowledge of software development best practices, including version control and testing.

Additional Information:
- The candidate should have minimum 5 years of experience in Python (Programming Language).
- This position is based at our Pune office.
- A 15 years full time education is required.