G-P
Design and deploy AI solutions using advanced techniques in machine learning and natural language processing. Collaborate with teams to address complex business challenges and enhance user satisfaction through robust engineering practices.
BVNK
Senior Product Manager - Layer1 Europe (Remote) at BVNK: drive user experience innovation and growth in crypto payments
LearnLux
Senior Software Engineer at LearnLux: Build impactful features for financial wellbeing platform, shape product direction, and contribute to scalability & security.
LearnLux
Senior Software Engineer at LearnLux: Build impactful features for financial wellbeing platform, shape product direction, and contribute to scalability & security.
LearnLux
Senior Software Engineer at LearnLux: Build scalable, secure, high-performance platform for financial wellbeing
ExtraHop
Senior Product Security Engineer with experience in modern software development practices and securing web applications, APIs, and software systems.
Spotify
Lead the AI Foundations studio at Spotify, developing GenAI features for personalized experiences, and driving business impact through technical leadership.
Vonage
Lead Vonage's product strategy for Salesforce integrations, driving innovation in CCaaS solutions through market research, customer collaboration, and cross-functional teamwork. Utilize your expertise in Salesforce ecosystems to enhance our product offerings and contribute to the company's success.
Lead Reddit's Safety Technology teams to develop systems ensuring user safety and security. Oversee multidisciplinary teams and drive cross-functional collaboration for effective content moderation and threat mitigation.
Vonage
Alliance Marketing Manager at Vonage: Develop and execute marketing strategies for Alliances, ISVs, and SIs, creating value propositions and messaging, and driving business growth through events and campaigns.
Kontakt.io
Agentic AI/ML Applications Platform Engineer - Design, develop & deploy scalable full-stack apps leveraging modern frameworks & cloud platforms.
Nearform
Senior Developer position for building interactive applications using JavaScript (React and Node) with flexible remote work options and a commitment to work/life balance.
Massive Rocket
Harmonize customer data, manage event data with Lambda functions, and optimize customer engagement strategies using Braze at Massive Rocket.
Kueski
Crear documentación clara y fácil de usar para clientes internos y externos en Kueski
Grafana Labs
Senior Technical Writer for Grafana Labs producing high-quality documentation and guides for enterprise software
Grafana Labs
Senior Technical Writer for Grafana Labs, creating high-quality documentation and guides for enterprise software, collaborating remotely, and working independently.
Grafana Labs
Senior Technical Writer for Grafana Labs producing high-quality documentation and guides for enterprise software
Binance
Senior QA Engineer for Big Data applications with experience in Automation and Backend Testing
ScienceLogic
QA Lead position at ScienceLogic, responsible for testing strategy, team leadership, and collaboration with cross-functional teams.
Sparkrock
Senior QA Engineer at Sparkrock: Collaborate with teams to ensure ERP product quality, analyze business requirements, design test cases, and manage defects in a 100% remote work environment.
G-P
As a Senior AI Engineer, you will design, develop, and deploy AI solutions to address complex business challenges. This role requires advanced expertise in artificial intelligence, including machine learning and natural language processing, with the ability to implement these technologies in production-grade systems. Key responsibilities include developing innovative, scalable AI solutions for real business problems; managing complex datasets, designing efficient data pipelines, training robust models; owning end-to-end projects from analysis to deployment; researching new techniques in NLP and ML; collaborating with product managers and stakeholders; writing technical documentation; staying updated on the latest developments; exploring new technologies; developing high-quality machine learning services; and prioritizing robust engineering practices. Required skills include a Master's degree, deep understanding of ML and NLP, statistical modeling, data curation, model training, experience with Python, Docker, AWS, and strong communication skills.
As a Senior AI Engineer, you will design, develop, and deploy AI solutions that address complex business challenges. This role requires advanced expertise in artificial intelligence, including machine learning and natural language processing, and the ability to implement these technologies in production-grade systems.
Key Responsibilities:
Develop innovative, scalable AI solutions for real business problems. Drive the full lifecycle of projects from conception to deployment, ensuring alignment with business objectives.
Manage complex data sets, design efficient data processing pipelines, and train robust models. Expect to spend approximately 70% of your time on data and ML engineering tasks related to developing AI systems.
Own highly open-ended projects end-to-end, from the analysis of business requirements to the deployment of solutions. Dedicate about 30% of your time to researching new techniques in NLP and ML that could benefit the business.
Work closely with other AI engineers, product managers, and stakeholders to ensure that AI solutions meet business needs and enhance user satisfaction.
Write clear, concise, and comprehensive technical documentation for all projects and systems developed.
Stay updated on the latest developments in the field. Explore and prototype new technologies and approaches to address specific challenges faced by the business.
Develop and maintain high-quality machine learning services. Prioritize robust engineering practices and user-centric development.
Required Skills and Qualifications:
Master’s degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, or a related field
Deep understanding and practical experience in machine learning and natural language processing, especially with deep learning architectures
Strong foundational knowledge in statistical modeling, probability, and linear algebra
Extensive practical experience with curating datasets, training models, analyzing post-deployment data, and developing robust metrics to ensure model reliability
Experience developing and maintaining machine learning services for real-world applications at scale
Strong Python programming skills and ability to write maintainable, production-ready code
Proficiency with Container Orchestration services such as Docker
Proficiency with AWS, including Serverless
Proven track record in driving AI projects with strong technical leadership.
Excellent communication skills when engaging with both technical and non-technical stakeholders
Proactive attitude with a continuous improvement mindset, seeking help and providing feedback when necessary
Preferred Qualifications:
Experience with LLMs for non conversational use cases
Experience with natural language processing for legal applications
Proficiency with Terraform
#LI-AK1
