Senior Data Scientist

Position - Senior Data Scientist

Job Description:

As a Senior Machine Learning Engineer specializing in model training and deployment, you will be responsible for designing, developing, and implementing machine learning solutions to address real-world challenges. You will work closely with cross-functional teams, including data scientists, software engineers, and data engineers, to build, train, and deploy machine learning models that enhance our products and services.

Key Responsibilities:

• Lead the development to implement and productize AI/ML-based solutions.
• To incorporate AI/ML technology into existing tools
• To re-design and develop existing applications for key R&D productivity
• Deploy trained models into production environments, ensuring scalability, robustness, and real-time or batch processing as needed, establish monitoring and alerting systems to track model performance, and implement necessary updates and maintenance.
• Collaborate with cross-functional teams to define project objectives, deliverables, and timelines, and communicate results effectively and create and maintain comprehensive documentation for models, datasets, and deployment processes.
• Stay up-to-date with the latest advancements in machine learning and AI to incorporate new techniques and technologies into projects.

Qualifications:

• 4+ years of relevant industry experience in developing and productizing software solutions
• Proven experience in machine learning model development and deployment in a production environment.
• Solid background in Data Structures & Algorithms
• Knowledge of Machine Learning & Data Science
• Experience with computer vision related product development.
• Proficiency in programming languages such as Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms and containerization technologies (e.g., AWS, Docker, Kubernetes).
• Experience with version control systems (e.g., Git) and best practices for collaborative development.
• Strong problem-solving skills and ability to work independently and in a team.
• Excellent communication and collaboration skills.
• Prior experience with NLP or reinforcement learning is a plus.

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