Spydra - Data Scientist - Machine Learning

Key Responsibilities :

• Develop and implement machine learning algorithms and models.
• Design and conduct experiments to evaluate the performance of machine learning models.
• Collaborate with cross-functional teams to integrate machine learning solutions into products.
• Analyze large datasets to extract meaningful insights and patterns.
• Optimize and tune machine learning models for performance and scalability.
• Monitor and maintain deployed models, ensuring their performance in a production environment.
• Stay up-to-date with the latest trends and advancements in machine learning and artificial intelligence.
• Write clean, maintainable, and efficient code.
• Document processes, experiments, and results :
• Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field.
• Proven experience as a Machine Learning Engineer or similar role.
• Strong understanding of machine learning algorithms and techniques (e.g., supervised and unsupervised learning, reinforcement learning, deep learning).
• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiarity with data preprocessing and feature engineering techniques.
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus.
• Strong problem-solving skills and the ability to work independently and as part of a team.
• Excellent communication and collaboration skills.

• Experience with natural language processing (NLP) and computer vision.
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Experience with version control systems (e.g., Git).
• Understanding of DevOps practices and CI/CD pipelines.