March 27, 2024
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Bengaluru, Karnataka, India, India
March 27, 2024
Apply NowJob description
Responsibilities
- Utilize machine learning and AI techniques to analyze logistics data, focusing on warehouse and transportation metrics.
- Develop algorithms and models to parse and process large volumes of active incoming field data.
- Implement systems to ingest data from MongoDB, AWS Time Stream DB, and/or Redis DB during the backend ingestion process.
- Design and execute machine learning strategies, including Deep Q learning, to improve process efficiency in logistics operations.
- Collaborate with cross-functional teams to identify opportunities for process improvement and implement data-driven solutions.
- Stay updated with the latest advancements in machine learning, AI, and related fields to enhance analytical capabilities.
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
- Strong proficiency in algorithms, data structures, and machine learning techniques.
- Prior experience in performing data analysis and machine learning on logistics data is highly desirable.
- Proficiency in programming languages such as Python, Java, or C++.
- Experience with data storage systems like MongoDB, AWS Time Stream DB, and Redis DB.
- Excellent problem-solving skills and ability to work with large datasets.
- Strong communication and collaboration skills to work effectively in a team environment.
- Familiarity with Deep Q learning and other advanced machine learning strategies.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of software development methodologies and practices.
