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.
brightwheel
Join Brightwheel as a Senior Data Analyst to leverage data insights for business growth. Work with cross-functional teams, build analytical solutions, and contribute to the company's mission of enabling high-quality early education. Competitive salary and benefits package included.
Binance
Senior Data Analyst at Binance: Analyze large volumes of transactional data using proprietary tools, build sophisticated datasets and visualizations, and provide value-added analysis and reporting.
ConnectWise
Senior Data Analyst: Analyze complex data, build reports, and communicate insights to cross-functional teams.
InDebted
Join InDebted as a Senior Data Analyst to leverage your expertise in SQL, Python, and visualization tools like Tableau. Collaborate with stakeholders, mentor junior analysts, and drive data-driven decisions for our innovative solutions in consumer debt management.
brightwheel
Senior Data Analyst at Brightwheel: drive business growth with analytics expertise
Protegrity
Mainframe System Programmer with z/OS expertise required for Protegrity
Emburse
Senior Sales Executive at Emburse: drive enterprise sales growth, lead complex software demos, and develop high-performing teams.
Twilio
Senior Integrated Marketing Campaigns Manager, Social Impact at Twilio - drive global campaigns for social impact organizations
Sagana
Lead Sagana's impact investing consulting practice focusing on climate initiatives. Develop strategies, manage projects, and build client relationships to drive growth in the impact investment sector.
Orum
Join Orum's remote-first team as a Senior Sales Development Representative and drive sales growth with our AI-driven live conversation platform.
Inworld AI
Develop AI-driven solutions for games using C++ at Inworld. Work on integrating AI technologies into game engines like Unreal or Unity. Full-time role with remote options in the US.
Quora
Senior software engineer for Poe platform, building interactive user experiences with generative AI models
TrustArc
Join TrustArc as a Senior Privacy Consultant to manage global privacy projects, engage with clients, and contribute to industry thought leadership while enjoying comprehensive benefits including unlimited PTO and remote flexibility.
HiveMQ
Senior Project Manager - Strategic Accounts at HiveMQ: lead high-value projects for key clients, manage stakeholders & ensure customer impact.
Newsela
Senior Backend Software Engineer for content API's and engineering teams using Python web frameworks and relational databases.
Buynomics
Senior Customer Value Manager at Buynomics: lead partnerships, champion product adoption, and drive data-driven decision-making through Virtual Customer technology.
Welocalize
Freelance/remote Ads Quality Rater position in Romania, utilizing language skills and knowledge of online trends to improve ad relevance and accuracy.
iHerb
Senior Manager, Project Management at iHerb: Manage eCommerce projects, build relationships with stakeholders, and lead teams to deliver results.
Monzo
Senior Finance Business Partner (EU) at Monzo: lead forecasting, drive growth, optimize pricing models
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
