AIMLEngineer

Roles & Responsibilities :

We are looking for skilled Senior Application Developer to join our dynamic team specializing in Data and AI-driven solutions. The ideal candidate will have a strong technical background experience with advanced data pipelines and be capable of building and optimizing scalable AI/ML applications. Youll collaborate closely with team leads to understand business requirements design and implement application development plans and leverage the latest technologies to deliver high-quality impactful applications.
 

Qualifications :

Educational qualification: Bachelors or Masters degree in Computer Science Data Science or a related field

Experience :4 years of professional experience in application development with a focus on data and AI solutions

Mandatory/requires Skills :
Proven experience in developing and deploying Generative AI applications with a strong

understanding of underlying concepts and techniques

Proficiency in Python for scripting data manipulation and building scalable applications

Extensive experience with Azure Databricks and PySpark for big data processing and advanced

analytics

Working knowledge of Unity Catalog for data management security and governance within Azure

Solid experience with Docker for containerizing applications and managing dependencies

Familiarity with the RAG pipeline and building applications with LLMs

Understanding of deep learning concepts and experience in applying them within data-driven

applications

Hands-on experience with Hugging Face library for NLP and transformer models

Experience with TensorFlow PyTorch or JAX for building and training deep learning models

Intermediate knowledge of Linux for managing and automating server-side processes

Experience with data preparation tools and techniques for large datasets

Familiarity with API environments and deployment strategies

Experience with GPU utilization for model training and inference

Knowledge of prompt engineering techniques for optimizing GenAI model outputs

Preferred Skills :

Collaborate with team leads and stakeholders to define and prioritize business requirements for

data-centric and AI-based applications

Design compile and implement development plans for new applications or improvements to

existing applications ensuring scalability and maintainability

Develop test and deploy application code and scripts with a focus on performance and

integration

Demonstrate application prototypes gather user feedback and iteratively refine the solution

based on this feedback

Oversee the installation configuration and updating of applications ensuring smooth rollouts

and adherence to best practices

Integrate and manage data securely and efficiently across environments utilizing platforms such

as Azure Databricks and Unity Catalog for secure data governance

Build and maintain RAG (Retrieval-Augmented Generation) / GenAI pipelines working with large

language models (LLMs) and other AI/ML models to implement AI-driven features

Create Dockerized environments to ensure consistent and reproducible application deployments

across development and production environments

Conduct code reviews troubleshoot issues and support continuous integration and delivery

practices

Remote Work :

No

Employment Type :

Full-time