The project - a platform for creating and publishing content on social media using artificial intelligence tools.

Responsibilities

- Implementation, and maintenance of automation tools that interact with the Instagram Graph API to enable actions such as posting, liking, following, and commenting, all while adhering to Instagram's usage policies.

Requirements

- Bachelor's or Master's degree in Computer Science, Software Engineering or related field.

- 3 years or more of software development experience with a focus on web applications and APIs.

- Proficiency in Python, a deep understanding of one or more of these languages, and the ability to write production code.

- Deep knowledge of Instagram Graph API, its features, limitations and best practices for interacting with it is an advantage.

- Experience building automation tools or bots for social media platforms, particularly Instagram, is highly desirable.

- Strong understanding of software design principles, data structures, algorithms and system architecture.

- Knowledge of version control systems (e.g. Git) and CI/CD pipelines.

- Ability to address potential risks associated with automation on the Instagram platform, ensuring a safe user experience.

- Passion for DS and keeping up to date with SotA Machine Learning algorithms and developments is a plus;

The project - a platform for creating and publishing content on social media using artificial intelligence tools is looking for a  Data Science Team Leader with a focus on generative models (m/f).

Responsibilities:

— Study and transform data science prototypes.

— Research and implement appropriate ML algorithms and tools.

— Design machine learning systems.

— Develop machine learning applications according to requirements.

— Know the SOTA in the field of generative technologies and be able to reproduce key experiments.

— Develop prototypes based on generative models for multimodal content (text, images, video).

— Develop and implement a pipeline of product integration for successful prototypes.

— Manage a team of machine learners to plan, implement and support new technologic solutions.

— Understand how certain product features impact business results.

Requirements

— Previous experience efficiently conducting research and creating ad hoc generative prototypes.

— Previous experience in the management of RnD teams.

— A strong background in probability theory and statistics, data mining, and machine learning.

— Proficiency in Python and proven experience using popular ML packages (PyTorch, TensorFlow, huggingface,etc).

— Deliver your work to production as a stand-alone microservice.

— Be enthusiastic about DS and stay up to date with SotA Machine Learning algorithms and developments.

— Be eager to help your teammates, share your knowledge with them, and learn from them.

— Be able to write production code.

— Be open to receiving constructive feedback.

— Academic papers at major ML conferences is a plus.

— Experience as a CTO in a start-up is a plus.

The project, a platform for creating and publishing content on social media using artificial intelligence tools, is looking for a Lead Data Engineer.

Responsibilities:

- Design, develop, and maintain robust and scalable data pipelines for collecting.

processing, and storing data from diverse social media sources and user interactions.

- Design of data warehouse.

- Implement rigorous data quality checks and validation processes to uphold the integrity.

accuracy, and reliability of social media data used by our AI models.

- Automate Extract, Transform, Load (ETL) processes to streamline data ingestion and transformation, reducing manual intervention and enhancing efficiency.

- Continuously monitor and optimize data pipelines to improve speed, reliability, and scalability, ensuring seamless operation of our AI Assistant.

- Collaborate closely with Data Scientists, ML Engineers, and cross-functional teams to understand data requirements and provide the necessary data infrastructure for model development and training.

- Enforce data governance practices, guaranteeing data privacy, security, and compliance with relevant regulations, including GDPR, in the context of social media data.

- Establish performance benchmarks and implement monitoring solutions to identify and address bottlenecks or anomalies in the data pipeline.

- Collaborate with data analysts and business teams to design interactive dashboards that enable data-driven decision-making.

- Develop and support data marts and dashboards that provide real-time insights into social media data.

- Stay updated with emerging data technologies, tools, and frameworks, evaluating their potential to improve data engineering processes.

Qualifications:

- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

- Proven experience in data engineering, focusing on ETL processes, data pipeline development, and data quality assurance.

- Strong proficiency in programming languages such as Python, SQL and knowledge of data engineering libraries and frameworks.

- Experience with cloud-based data storage and processing solutions, such as AWS, Azure, or Google Cloud.

- Familiarity with DataOps principles and Agile methodologies.

- Excellent problem-solving skills and the ability to work collaboratively in a cross-functional team.

- Strong communication skills to convey technical concepts to non-technical stakeholders.

- Knowledge of data governance and data privacy regulations is a plus.

A Fintech project requires a Senior Backend Python Developer with a focus on artificial intelligence.

Requirements

• At least 4 years of Python development experience.
• Practical experience in implementing AI tools and technologies.
• Strong knowledge of Data science.
• Knowledge of Python Data science stack - numpy, scipy, scikit-learn, pandas, catboost.
• Experience with GPT models.

English level: at least B2

Time zones preferred: GMT+3, +-2 hours.

The company with years of experience in getting their clients the most effective software product development staff in worldwide development centers.

The project is a cloud-based platform in financial field.

Requirements and responsibilities:

- Опыт Big Data AI.

- Опыт C++ developer.

- Prior experience developing real-time trading apps help.

- Financial math degree.

- competency in multiple platforms (AWS, GCP, Azure) is a plus.