Description

You will design, develop, and deploy machine learning models to enhance product capabilities.

Responsibilities

• Design and deploy machine learning models for predictive analytics, recommendation systems, NLP, and computer vision.
• Implement and optimize data pipelines to collect, clean, and preprocess structured and unstructured data.
• Build and manage scalable AI solutions using Python and deep learning frameworks.
• Deploy models using AWS, Docker, and Kubernetes while following MLOps best practices.
• Collaborate with software developers and data engineers to integrate models into production environments.

Required Skills

• 5+ years of experience in machine learning, data science, or AI-focused software development.
• Proficiency in Python and ML frameworks including TensorFlow, PyTorch, and Scikit-Learn.
• Experience with relational databases like PostgreSQL and non-relational databases like CouchDB.
• Solid understanding of supervised, unsupervised, and reinforcement learning algorithms.
• Knowledge of deep learning architectures such as CNNs, RNNs, and Transformers.
• Experience building scalable data pipelines for preprocessing and feature engineering.
• Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Familiarity with MLOps, including model versioning, monitoring, and CI/CD pipelines.
• Strong background in OOP principles and software engineering best practices.
• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

Preferred Skills

• Experience with GraphQL, RESTful APIs, and FastAPI.

Key Skills

Education

Bachelor's or Master's degrees