Data Processing, Hosting, and Related Services
Data Processing, Hosting, and Related Services jobs
Job Description
Tekdano, an AI start-up, specializes in providing comprehensive services in machine learning, deep learning, and generative AI, particularly focused on transforming Supply Chain Management (SCM) and the banking/finance sector. Aspiring employees at Tekdano can expect to contribute to innovative projects that leverage advanced AI technologies to optimize SCM processes, enhance logistics, and refine decision-making in the banking/finance industry.
This is a role for a senior machine learning engineer. The senior machine learning engineer will be responsible for developing, improving, and deploying machine learning models. They will also work with cross-functional teams to identify business needs and will be involved in prototyping new models and improving existing ones. The applicant must have a working background in supply chain management and/or logistics and/or inventory management.
Requirements
- Bachelor's degree or higher in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or related fields.
- At least 5 years of experience working as a machine learning engineer or in a related role.
- Strong programming skills in Python, and experience with similar languages such as C++, JavaScript, and libraries/packages like Pandas, NumPy, Matplotlib, TensorFlow, Keras, PyTorch, and PytorchGeometirc.
- Experience in developing, testing, and implementing machine learning models and algorithms for various applications, including classification, regression, and clustering, especially familiar with one or more of the following, including graph neural networks, time series, ensemble learning, reinforcement learning, RNN, and GRU, LSTM and Genetics Algorithm.
- Experience working with cloud services such as AWS, Azure, or Google Cloud Platform.
- Experience with databases and data processing/storage technologies such as SQL, NoSQL, Neo4j Hadoop, and Spark.
- Familiar with Applying the above technology in supply chain management such as route optimization, demand forecasting, inventory management, customer service, etc.
- Ability to work with deployment technologies such as AWS Sage-maker.
- Ability to communicate complex technical ideas to both technical and non-technical stakeholders.
- Strong problem-solving skills and ability to work collaboratively in a fast-paced environment.
- Proficiency in English.
Employment Type
- Full Time
Seniority
Details
