Job Description

Job Purpose:

We are seeking a talented and motivated AI and Data Engineer to join our team. The ideal candidate will have a strong background in backend development, machine learning, and real-time data processing. This role involves designing scalable AI systems, building efficient data pipelines, and integrating machine learning models into production environments.

Key Responsibilities:

Backend & Infrastructure Development

Design, implement, and maintain microservice-based backends using FastAPI, Docker, and Kubernetes on AWS. Optimize performance and scalability using caching, message brokers (e.g., Redis ARQ, Kafka), and asynchronous processing.

AI & Machine Learning Engineering

o Develop and deploy ML pipelines including Retrieval-Augmented Generation (RAG) chatbots using

LangChain

,

GROQ

, and

Chainlit

.


o Build and deploy computer vision models (e.g.,

YOLO-based object detection

) for tasks like license plate recognition and scratch detection.


o Create and maintain deep learning environments using

PyTorch

,

TensorFlow

, and containerization tools.

Data Engineering

o Design event-driven data workflows and implement real-time streaming solutions.


o Perform database operations with

SQLAlchemy

,

Alembic

, and

Oracle SQL

for effective schema management and migration.


o Develop web scrapers and ETL systems to gather and process large-scale unstructured and structured datasets.

DevOps & CI/CD

o Maintain and improve automated testing and deployment pipelines using

GitHub Actions

.


o Collaborate on containerized ML model deployment and scalable API integrations.

Required Skills and Qualifications:

Education:

Bachelor's degree in computer science, Mathematics, or a related field.

Technical Proficiency:

Programming Languages: Python, Java, C++, JavaScript, Bash, SQL Frameworks/Tools: FastAPI, Docker, Redis, Kafka, PyTorch, TensorFlow, LangChain Cloud & DevOps: AWS, GitHub Actions, Kubernetes, Docker Database: SQLAlchemy, Alembic, Oracle SQL

Soft Skills:

Strong problem-solving skills and ability to work independently or as part of a cross-functional team Excellent communication and documentation abilities

Preferred Experience:

Experience in building custom AI pipelines and deploying LLMs in production Past internships or project experience in enterprise environments (e.g., Emaar Properties) Knowledge of container orchestration and model optimization for inference Exposure to frontend technologies or visualization tools (e.g., Streamlit, Qt3D)

Competencies

Strong leadership and team management skills. Excellent communication and presentation abilities. A problem-solving mindset with a focus on delivering actionable insights. * The ability to work collaboratively in a cross-functional team environment.