We are looking for a highly skilled Machine Learning Software Engineer with at least 5 years of experience to join our team. This is an equity-only position to start. The ideal candidate will have strong proficiency in Python, experience in building and deploying backend services, and a deep understanding of machine learning algorithms and frameworks. You will play a key role in developing scalable ML models, integrating them into production environments, and optimizing system performance.

Key Responsibilities:

• Design, develop, and deploy machine learning models for real-world applications.
• Optimize and maintain ML pipelines and backend services.
• Implement scalable and efficient solutions for data processing and model inference.
• Collaborate with data scientists, engineers, and product teams to define and execute ML strategies.
• Monitor and improve model performance, ensuring robustness and reliability.
• Develop APIs and microservices to support ML model deployment.
• Stay updated with the latest advancements in ML and AI technologies.

Requirements:

• 5+ years of experience in Machine Learning, Data Science, or a related field.
• Strong programming skills in Python and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.).
• Experience in building and deploying backend services (e.g., Flask, FastAPI, Django).
• Solid understanding of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Hands-on experience with data pipelines, ETL, and model versioning.
• Proficiency in SQL and NoSQL databases.
• Familiarity with CI/CD practices and DevOps principles.
• Excellent problem-solving skills and ability to work in a collaborative environment.

Preferred Qualifications:

• Experience with MLOps tools and frameworks (MLflow, Kubeflow, etc.).
• Knowledge of distributed computing frameworks (Spark, Dask).
• Exposure to real-time ML applications and edge computing.

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