Machine Learning Engineer

Responsibilities:

• Design, develop, and deploy machine learning models to enhance product capabilities.
• Implement and optimize data pipelines to collect, clean, and preprocess structured and unstructured data.
• Apply machine learning algorithms and deep learning techniques for various business use cases, such as predictive analytics, recommendation systems, NLP, and computer vision.
• Leverage Python and ML frameworks (e. g., TensorFlow, PyTorch, Scikit-Learn) to develop scalable and efficient AI solutions.
• Work with relational (PostgreSQL) and non-relational databases (CouchDB) to store, query, and manage large-scale datasets.
• Develop and deploy machine learning models using cloud platforms (AWS) and containerization tools (Docker, Kubernetes).
• Implement MLOps best practices, including CI/CD pipelines for model training, monitoring, and deployment.
• Collaborate with software developers and data engineers to integrate ML models into production environments.
• Write and maintain unit tests and integration tests to ensure the quality and reliability of AI systems.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).
• 1+ years of experience in machine learning, data science, or AI-focused software development.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn, etc. ).
• Solid understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and deep learning architectures (CNNs, RNNs, Transformers).
• Experience in building scalable data pipelines for preprocessing and feature engineering.
• Strong background in OOP principles and software engineering best practices.
• Experience with cloud platforms (AWS, GCP, or Azure) and deploying models in production environments.
• Familiarity with MLOps practices, including model versioning, monitoring, and CI/CD pipelines.
• Knowledge of RESTful APIs and GraphQL services, with experience in FastAPI being a plus.
• Strong problem-solving skills and ability to work independently as well as in a team