Data Engineer (AI & ML)

Overview:

We are seeking an AI & Machine Learning Engineer to develop and deploy scalable ML models and AI solutions. The ideal candidate will have expertise in NLP, Computer Vision, and Cloud Infrastructure, with a strong foundation in Python, PyTorch, spaCy, Hugging Face, AWS, and SQL.

Responsibilities:

• ML Model Development: Build, train, and deploy ML models using PyTorch, scikit-learn, and TensorFlow for NLP and Computer Vision applications.

• NLP & Text Processing: Implement NLP tasks (text classification, sentiment analysis, named entity recognition) using spaCy and Hugging Face.

• Computer Vision: Leverage OpenCV and deep learning frameworks for tasks like object detection and image classification.

• AI Integration: Deploy AI solutions into CRM systems and enterprise applications.

• Cloud Deployment: Utilize AWS tools (EC2, S3, Lambda, SageMaker) for scalable deployment and monitoring.

• Data Engineering: Design data extraction pipelines and optimize data preprocessing for ML workflows.

• API Development: Build FastAPI microservices to serve ML models and AI services.

• Database Management: Work with SQL databases for data storage and manipulation.

Requirements:

• Proficiency in Python, with experience in PyTorch, NumPy, and pandas.

• Strong background in NLP (spaCy, Hugging Face) and Computer Vision (OpenCV, PyTorch).

• Familiar with cloud infrastructure and ML deployment on AWS.

• Experience building data pipelines and working with SQL databases.

• Hands-on with FastAPI or similar frameworks for building and deploying APIs.

• Solid understanding of ML algorithms, model evaluation, and optimization.

• Strong communication and collaboration skills.

Education & Experience:

• Bachelor's or higher in Computer Science, Data Science, AI, or related field.

• 3+ years of professional experience in AI/ML roles.