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As a Senior Big Data Engineer on our BI team, youll build and scale the data infrastructure that powers our business insights. Youll design and implement robust data pipelines to process billions of daily records, leveraging cutting-edge cloud technologies and visualization platforms to transform data into actionable intelligence.

If youre passionate about data engineering and driving business growth through insights, wed love to hear from you!

Responsibilities:
Design, Build, and operate scalable infrastructure for optimal data extraction, transformation, and loading from a wide variety of data sources, utilizing SQL, cloud migration tools, and Big Data technologies.
Work with a variety of programming languages, systems, frameworks, and cloud technologies, including Python, DBT, Airflow, AWS, Linux, Spark, and more.
Collaborate with customers and internal stakeholders to resolve data-related technical issues and support their data infrastructure and business needs.
Implement data validation, monitoring, and governance practices to ensure data accuracy, consistency, and security.

As a Senior Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale.

Responsibilities:
Work with management and partner teams to design and implement solutions in recommender systems for given objectives.
Lead technical efforts to improve the performance of deep learning models and propose initiatives to impact company goals directly.
Autonomously find solutions to complex problems in social network recommendations and understand the data generation process and challenges with the data.
Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.

our company's Algorithm Team is seeking a highly Technical data engineer to drive algorithmic data intelligence, to characterize and accelerate development processes & validation standards for complex insights from our autonomous data ecosystem. As part of the Algorithm Team, you will be responsible for understanding the deep technical needs of our algorithmic systems, translating complex data patterns into actionable insights, and building validation methods that enhance our autonomous driving capabilities. This role focuses on algorithmic data requirements analysis, complex pattern recognition, and creating intelligent data solutions that directly impact our core algorithms. The ideal candidate is a technical problem-solver with strong algorithmic thinking, a creative approach to data challenges, and the ability to dive deep into complex technical systems to extract meaningful insights.
What will your job look like:
Serve as Data expert for "brain" group of our company- the part of the software responsible for the vision, fusion, and algorithm development.
Map the data needs of the different algorithmic and functional testing teams.
Define and execute validations methods across various data flows- e.g- signals, meta data, data labels.
Contribute to delivering high-quality data products that enhance our companys autonomous driving capabilities.
Next-Generation Data Innovation - envision and develop the next generation of content and insights that can be derived from our company's big data ecosystem.

We are looking for a highly motivated candidate to join our Data Science team If you are passionate about NLP \LLMs and have 4+ years in the field, this is for you!

What Youll Do:
Research, experiment, develop and productize advanced NLP, LLM and autonomous agent solutions in various domains such as classification, summarization, translation, information retrieval and AI assistant.
Use advanced deep learning and large language models, to enhance Shields ability to find the needle in a haystack in the world of structured & unstructured data of financial electronic communication.
Conduct rigorous experimentation, analysis, and optimization to ensure performance, efficiency, and scalability.
Develop processes, tools and frameworks to monitor and analyze model performance and data accuracy.
Innovate, develop, and test state-of-the-art approaches to solve our challenging problems: domain adaptation, fine-tuning, prompt engineering, zero- and few-shot learning, autonomous agents, using open and close large language models.
Assist and mentor other team members in the implementation and research.
Collaborate closely with domain experts, product and engineering teams to translate research breakthroughs into scalable commercial products.
Identify the latest technology to improve our AI capabilities in a variety of languages and help shaping our AI roadmap.