Available Offers for Artificial Intelligence

Senior Software Engineer (PCIe Driver Development)

Full-time
Remotely

We are passionate about transforming lives through cutting-edge technology, enriching industries, communities, and the world. Our mission is to create exceptional products that drive next-generation computing experiences, serving as the foundation for data centers, artificial intelligence, PCs, gaming, and embedded systems.

At the core of our mission lies a culture of innovation. We challenge boundaries to solve some of the world's most critical problems. We are committed to execution excellence, fostering a culture of openness, humility, collaboration, and inclusivity, valuing diverse perspectives along the way.


Responsibilities:

  • Linux application programming
  • Linux device driver development
  • Embedded C, MMU, Cache policies
  • Excellent debugging skills at Kernel and user space and exposure to different debugging tools
  • Make files


Must have Skills:

5-8 years of experience

  • Proficient in C and embedded systems.
  • Experience in Linux driver development (PCIe/USB/Ethernet) and application development.
  • PCIe driver development experience.
  • DMA client/controller driver development experience.
  • Hands-on experience with Configuration Management tool like Git, Perforce.
  • Knowledge on PCIe, Ethernet, TCP, I2C protocols, DMA framework is a plus.
  • Self-motivated and interested to constantly learn and share new findings.
  • A quality mindset, ability for strategic thinking and a drive to always improve.
  • Nice to have B.tech/M.Tech in CSE/IT/ECE/EEE/E&I.


Data Science Team Leader

Remotely
Full-time

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.

Lead Data Engineer

Remotely
Full-time

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.