Location: London (Remote); Almaty
Workplace: Remote
Role Overview:
We are looking for a talented and passionate Senior Data Engineer to join our team. In this role, you'll be at the heart of our AI pipeline, ensuring seamless integration, scalability, and reliability of our data processes.
Key Responsibilities and Skills:
- Integrate and Scale: Extend, scale, monitor, and manage our ever-growing pile of 100s of integrations. Ensure they are reliable and responsive.
- Own the Integrations: Implement new connections and be the master and owner of these integrations.
- Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure.
- ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries
- Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference.
- Develop Monitoring Systems: Create and support robust models for monitoring.
- Support and Innovate: Assist with a long tail of super important tasks, bringing innovative solutions to the table.
Qualifications:
- Python Proficiency: Strong Python skills with experience in building and monitoring production services or APIs. Experience with third-party APIs is essential.
- Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions
- Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists.
- Infra: Deep Knowledge of Docker, Git, cloud networking, and cloud security for services and infrastructure. Experience with Kubernetes (K8S) is a plus.
- Cloud Expertise: Familiarity with AI infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing.
- Bonus Points: Experience with Airbyte is a significant advantage.
Perks and Benefits:
- Fully Remote: Freedom to work from anywhere in the world with flexible core working hours.
- In-person Meetups and Regular Team-building Remote Events: Enjoy in-person meetups and monthly game sessions for team bonding.
- Generous Vacation: Benefit from our comprehensive vacation policy.
- Growth Opportunities: Access continuous professional development and growth support.
- Dynamic Culture: Be part of a vibrant, inclusive, and energetic company culture.
- Stock Options: Participate in our stock options program in this early-stage, fast-growing startup.
About Clarity
Clarity is redefining customer experience with AI. Our mission is to empower businesses to deliver faster, smarter, and more human service interactions. By combining cutting-edge AI with intuitive design, we enable customer service teams to operate more efficiently while providing customers with seamless, personalized experiences.
We are trusted by industry leaders like OpenAI, GrubHub, STC and Tabby who rely on us to deliver real impact. Our investors include Prosus Ventures, STV AI Fund (backed by Google) and angels from Open AI and Google. With a 25% month-on-month growth rate and over 300% net revenue retention, this is a unique opportunity to join a hyper growth AI company and redefine an industry.
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ГибридseniorПомогают с релокацией (Португалия); Conduct data studies to uncover insights Write ETL pipelines (data marts, alerts, and predictions) Ask "why" and "what problem are we solving" Requirements Experience in data analysis and in marketing analytics Understanding of marketing KPIs, attribution models, and the problems ad platforms solve Knowledge of mathematical statistics and experience applying it Ability to write complex SQL queries Data analysis skills in Python Ability to choose the right evaluation approach: analytics, research, or use of external data Ability to solve non-trivial problems under incomplete data Attention to detail and ability to see any task through to completion Good English verbal and written communication skills (B2+) Preferred Experience running A/B, geo, and other types of experiments Experience in econometrics Benefits Compensation package: base salary and performance-based bonuses Relocation support: full assistance for a smooth relocation for employees and their families to Lisbon, Portugal Office-first: flexible hours with the possibility to work remotely 52 days per year Care and wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave AI-first approach: licenses and access to a wide range of AI tools Team and growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional training, and English and Portuguese courses Community and engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of teamwork