Vakansiyanın detalları
- Əmək haqqı: Razılaşma yolu ilə
- Kateqoriya: Mühəndis
Vakansiyanın təsviri
- Conduct research to evaluate the latest machine learning techniques and tools, applying them to solve business problems effectively.
- Build and support machine learning models, tools, and applications.
- Enhance existing solutions to improve performance and scalability.
- Implement feature engineering and transformation.
- Collaborate with data engineering / DevOps teams to design and maintain robust ML pipelines.
- Optimize workflows for parallel processing using GPUs and CPUs.
- Use scalable and efficient software engineering practices to integrate machine learning components into larger software ecosystems.
- Develop monitoring tools to ensure the reliability and performance of deployed ML models.
- Implement continuous integration and delivery pipelines for ML models to streamline deployment and updates.
- Utilize tools like Kubernetes or Docker for model deployment.
- Work with business stakeholders to define requirements and create design documents for features and services.
- Collaborate with cross-functional teams, including data engineers, business analysts, clients, and vendors.
- Write clean, maintainable, and efficient code aligned with best practices.
- Participate in peer code reviews and ensure high-quality deliverables.
- Manage data science projects, timelines, and deliverables.
- Provide access management support (user access, platform, application, API’s).
- Encourage continuous learning, knowledge sharing and skill development among team members.
- Ensure data privacy and adhere to ethical data handling practices.
Xüsusi tələblər
- BSc/BA in Computer Science, Computer Engineering, Math or relevant field; graduate degree in Data Science or another quantitative field or equivalent experience.
- Proven experience as a Machine Learning Engineer / Software Engineer (minimum 2 year)
- Fluent Azeri and English, Russian is a plus.
- Mastery of machine learning algorithms and techniques.
- Experience in neural networks and deep neural architectures.
- Experience with big data frameworks like Hadoop and Spark.
- Distributed computing and parallel processing for large-scale data analysis.
- Proficiency in SQL for querying and manipulating relational databases.
- Knowledge of NoSQL databases (e.g., MongoDB, Cassandra).
- Expertise in programming languages such as Python and / or C/C++, C#, Go.
- Ability to develop production-ready code and scripts.
Müraciət üçün (CV): https://www.caspianic.com/?section=careers&department=allcareer
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