Data Scientist – AI Agent Engineering & Infrastructure
Status
Asia +7
Full time
Office
Compensation is not specified
Role
Data Scientist
Description
** Summary**
At a global blockchain ecosystem reputable for the largest cryptocurrency exchange worldwide, embracing over 280 million users across 100+ countries, we are acclaimed for leading security measures, trading velocity, deep liquidity, and a diverse array of digital-asset services. Our offerings encompass trading, finance, education, research, payments, Web3 tools, and more. Embracing the potential of digital assets and blockchain technology, we aim to create an inclusive financial environment that enhances global financial accessibility and the liberty of finances for individuals universally.
About the Position
Our current focus is on revolutionizing intelligent trading platforms by integrating AI Agents to tackle elaborate tasks in fraud identification, customer assistance, risk evaluation, and operational decisions. As a Data Scientist engaging with AI Agent Engineering, you will be involved in the strategic development, implementation, and deployment of multi-agent systems optimized for scalability to handle sophisticated tasks efficiently. Your responsibilities will span across agent management, retrieval systems, safety protocols, and MLOps interventions crucial for incorporating intelligent automation into our trading ecosystem.
Key Responsibilities
- AI Agent Design & Management: Conceptualize and execute multi-agent systems to oversee fraud detection, risk evaluation, and operational procedures. Develop protocols for seamless agent interaction and task delegation.
- RAG & Knowledge-Based Systems: Establish pipelines for retrieval that augment generation (RAG) amalgamating real-time market, regulatory, and trading data. Set up and maintain vector databases and semantic search infrastructures to support intelligent agent decision-making in context.
- Safety & Compliance: Put into place frameworks for safety, guardrails, and engagement of human participation for approvals. Monitor agent performance, identify outliers, and enforce compliance with regulatory and corporate standards.
- Agent CI/CD & Infrastructure: Create frameworks for testing, versioning, and deployment of agents. Design A/B test mechanisms, strategies for rollback, and supervisory frameworks to enhance the productivity of agents in real-world operation.
- Collaboration: Establish close collaboration with risk evaluation, infrastructure development, and product teams to incorporate safety protocols, streamline behavioral interactions between agents and humans, and align agent solutions with organizational needs.
Required Qualifications
- Minimum of 2 years in the field of machine learning or AI system development.
- Proficiency in areas like LLMs, prompt engineering, and AI Agent frameworks (e.g., LangChain, LlamaIndex, CrewAI, AutoGen).
- Practical experience with RAG systems, vector databases, and real-time data integration.
- Proficiency in Python; additional familiarity with technologies like FastAPI, Celery, or Ray is advantageous.
- Experience with APIs such as OpenAI and Anthropic, as well as LLM fine-tuning.
- Knowledge of big data tools like Spark, Kafka, Redis, and containerized environments like Docker and Kubernetes.
- AI Agent Expertiese: Strong grasp on workflow design including planning, reasoning, and tool utilization, as well as developing guardrails and oversight frameworks, semantic search techniques, monitoring, and rollback strategies.
- Educational Background: Must possess a Master’s degree in Data Science, AI Engineering, or Applied ML, or showcase equivalent experience. Proficiency in large-scale real-time systems will be a plus, with a preference for expertise within the financial or trading sector.
- Soft Skills: Exceptional problem-solving aptitude, effective communication abilities, adaptability to evolving environments, and a genuine interest in AI agents, LLMs, and intelligent automation.
Benefits of Joining Us
- Contribute to shaping the future in collaboration within the leading blockchain ecosystem globally.
- Engage with talented professionals in a global, user-centric organization benefitting from a structured work culture.
- Engage in challenging projects with independence and innovation within the organization.
- Opportunity for career advancement, continuous learning, and a performance-driven work setting.
- Competitive salary and comprehensive company benefits.
- Opportunity for remote work based on the nature of team responsibilities.
We value diversity within our workforce and aim to cultivate an inclusive work environment to foster achievement.
Upon application, you acknowledge and agree to our Candidate Privacy Notice.
Skills Required
Binance
Website
Not specified
Company size
Not specified
Location
United States
Description
Not specified
Status
Peeter Luik
Software Developer
Part time
Remote
I’m actively looking for a native Russian speaker who can expertly conduct or participate in job interviews—especially those requiring strong communication, technical understanding, and professional presence. This person should feel at ease discussing software engineering, or related topics, while also being able to assess a candidate’s clarity, depth, and overall fit. If you’re a fluent Russian speaker with the confidence and experience to shine in a technical interview setting, I’d be excited to connect and explore the opportunity with you.
Payment in Crypto
Frank Ralph
Architect designers
Sydney, Australia
Sydney, Australia
Part time
Remote
AutoCAD
Looking for 2D AutoCAD specialists to prepare detailed architectural and engineering drawings.
Payment: AUD $500–$1,200 per project
Looking for 2D AutoCAD specialists to prepare detailed architectural and engineering drawings.
Payment: AUD $500–$1,200 per project
Payment in Crypto
Gabenius
Full-time Hackintosh iOS development
Full time
Hybrid
We are currently seeking a skilled professional to join our team as a Full-time Hackintosh iOS Developer. In this role, you will be responsible for developing iOS applications for our Hackintosh platform. The ideal candidate will have a strong background in Web, Mobile, and Software Development, Engineering & Architecture, Customer Service, and Accounting and Consulting Specialist.
Responsibilities:
- Designing, developing, and implementing iOS applications for our Hackintosh platform
- Collaborating with cross-functional teams to define, design, and ship new features
- Troubleshooting application bugs and implementing solutions
- Ensuring the performance, quality, and responsiveness of applications
- Staying up-to-date with the latest industry trends and technologies
- Providing technical support and guidance to users as needed
Requirements:
- Proven work experience as an iOS Developer or similar role
- Proficient in Objective-C, Swift, and Xcode
- Strong understanding of iOS development best practices
- Excellent problem-solving skills
- Ability to work independently and as part of a team
- Strong communication and interpersonal skills
- Knowledge in web, mobile, and software development, engineering & architecture, customer service, and accounting and consulting specialist
If you are passionate about iOS development and eager to work on innovative projects in the Hackintosh space, we'd love to hear from you. Please apply with your resume and portfolio to be considered for this exciting opportunity.
Responsibilities:
- Designing, developing, and implementing iOS applications for our Hackintosh platform
- Collaborating with cross-functional teams to define, design, and ship new features
- Troubleshooting application bugs and implementing solutions
- Ensuring the performance, quality, and responsiveness of applications
- Staying up-to-date with the latest industry trends and technologies
- Providing technical support and guidance to users as needed
Requirements:
- Proven work experience as an iOS Developer or similar role
- Proficient in Objective-C, Swift, and Xcode
- Strong understanding of iOS development best practices
- Excellent problem-solving skills
- Ability to work independently and as part of a team
- Strong communication and interpersonal skills
- Knowledge in web, mobile, and software development, engineering & architecture, customer service, and accounting and consulting specialist
If you are passionate about iOS development and eager to work on innovative projects in the Hackintosh space, we'd love to hear from you. Please apply with your resume and portfolio to be considered for this exciting opportunity.
Payment in Crypto
Ubiminds
Senior Data Engineer (432)
Full time
Remote
Interested in advancing your career internationally? We are here to help!
Ubiminds is a people-first company that collaborates with American software product firms to expand their development capabilities by handpicking elite talent from Brazil. They offer a unique mix of staff augmentation and employer-of-record services.
Ubiminds is aiding a rapidly growing technology and data company focused on APIs, developing modern quoting, enrollment, and member-management solutions for the health insurance and employee benefits sector. They are in the process of expanding their engineering team and introducing new ML/AI-powered features across their platform.
Job Responsibilities:
Take the lead in all ML/AI engineering initiatives as the primary dedicated member in this domain.
Develop, deploy, and deliver ML/AI-driven functionalities across various products.
Collaborate closely with Product, Engineering, and Operations to identify lucrative opportunities and transform them into operational systems.
Manage the complete lifecycle of ML solutions including problem definition, prototyping, modeling, deployment, monitoring, and ongoing enhancement.
Set up best practices, tools, and standards for ML/AI development, experimentation, and visibility.
Enhance data pipelines and feature repositories to support robust ML workloads.
Partake in architecture assessments, roadmap planning, and cross-team coordination.
Mentor colleagues on ML/AI concepts and contribute to team growth as the ML/AI practice expands.
Contribute to a top-notch codebase by following TDD, conducting code reviews, and adhering to well-structured engineering practices.
Required Qualifications:
Proven experience in building and launching ML/AI systems in production environments.
Proficiency across the ML lifecycle - from data preparation to deployment and monitoring.
Hands-on familiarity with advanced AI methodologies such as LLMs and traditional ML algorithms.
8–10+ years of experience in software or ML engineering.
Proficient in at least one major ML/AI programming language (Python preferred).
Comfortable collaborating in a diverse engineering environment (team predominantly uses Ruby).
Skilled in building systems from ground zero in ambiguous settings with substantial autonomy.
Strong communication skills and keenness for transparent, positive collaboration.
Desired Skills:
Experience in designing ML feature stores, embedding retrieval systems, or ML observability frameworks.
Knowledge of data-intensive APIs, large-scale data pipelines, or high-throughput backend systems.
Exposure to infrastructure supporting ML workloads like orchestration and experiment tracking.
Previous experience in mentoring engineers or familiarizing stakeholders with ML/AI practices.
Passion for API-centric products and robust engineering regulations.
Team & Workplace Environment:
A collaborative, experienced engineering organization.
Emphasis on continuous improvement with practices like TDD, pair programming, and code reviews.
Strong partnership with Product for exploration, prioritization, and architecture design.
Addressing impactful challenges in data, APIs, and intelligent system design.
High autonomy in work, contemporary engineering methodologies, and a focus on technical excellence.
About Ubiminds:
Our Culture:
Prioritizing people's needs above all else.
Cultivating a culture of continual self-improvement.
Valuing initiative, ownership, and dedication.
Emphasizing teamwork and collective growth.
Delivering exceptional services and surpassing expectations.
Promoting openness, honesty, and transparency at all times.
Perks and Benefits:
Integrated into a product-focused company with full team support in various areas.
Possess your own MacBook as part of a remote-first policy.
Access to tech discussions, events, and an esteemed community of engineers.
Free English lessons with a native speaker to enhance language skills.
Referral incentive for recommending new team members.
Enjoy office amenities like snacks, massages, beverages, and games at the Florianópolis HQ.
Recruitment Process:
Initial chat with a Tech Recruiter about the role and your background.
Completion of a behavior and code assessment as part of the tech evaluation.
Assessment review by Ubiminds' CS Manager.
Interview with the Hiring Manager before receiving an offer.
Completion of a background check throughout the hiring process.
Ubiminds is a people-first company that collaborates with American software product firms to expand their development capabilities by handpicking elite talent from Brazil. They offer a unique mix of staff augmentation and employer-of-record services.
Ubiminds is aiding a rapidly growing technology and data company focused on APIs, developing modern quoting, enrollment, and member-management solutions for the health insurance and employee benefits sector. They are in the process of expanding their engineering team and introducing new ML/AI-powered features across their platform.
Job Responsibilities:
Take the lead in all ML/AI engineering initiatives as the primary dedicated member in this domain.
Develop, deploy, and deliver ML/AI-driven functionalities across various products.
Collaborate closely with Product, Engineering, and Operations to identify lucrative opportunities and transform them into operational systems.
Manage the complete lifecycle of ML solutions including problem definition, prototyping, modeling, deployment, monitoring, and ongoing enhancement.
Set up best practices, tools, and standards for ML/AI development, experimentation, and visibility.
Enhance data pipelines and feature repositories to support robust ML workloads.
Partake in architecture assessments, roadmap planning, and cross-team coordination.
Mentor colleagues on ML/AI concepts and contribute to team growth as the ML/AI practice expands.
Contribute to a top-notch codebase by following TDD, conducting code reviews, and adhering to well-structured engineering practices.
Required Qualifications:
Proven experience in building and launching ML/AI systems in production environments.
Proficiency across the ML lifecycle - from data preparation to deployment and monitoring.
Hands-on familiarity with advanced AI methodologies such as LLMs and traditional ML algorithms.
8–10+ years of experience in software or ML engineering.
Proficient in at least one major ML/AI programming language (Python preferred).
Comfortable collaborating in a diverse engineering environment (team predominantly uses Ruby).
Skilled in building systems from ground zero in ambiguous settings with substantial autonomy.
Strong communication skills and keenness for transparent, positive collaboration.
Desired Skills:
Experience in designing ML feature stores, embedding retrieval systems, or ML observability frameworks.
Knowledge of data-intensive APIs, large-scale data pipelines, or high-throughput backend systems.
Exposure to infrastructure supporting ML workloads like orchestration and experiment tracking.
Previous experience in mentoring engineers or familiarizing stakeholders with ML/AI practices.
Passion for API-centric products and robust engineering regulations.
Team & Workplace Environment:
A collaborative, experienced engineering organization.
Emphasis on continuous improvement with practices like TDD, pair programming, and code reviews.
Strong partnership with Product for exploration, prioritization, and architecture design.
Addressing impactful challenges in data, APIs, and intelligent system design.
High autonomy in work, contemporary engineering methodologies, and a focus on technical excellence.
About Ubiminds:
Our Culture:
Prioritizing people's needs above all else.
Cultivating a culture of continual self-improvement.
Valuing initiative, ownership, and dedication.
Emphasizing teamwork and collective growth.
Delivering exceptional services and surpassing expectations.
Promoting openness, honesty, and transparency at all times.
Perks and Benefits:
Integrated into a product-focused company with full team support in various areas.
Possess your own MacBook as part of a remote-first policy.
Access to tech discussions, events, and an esteemed community of engineers.
Free English lessons with a native speaker to enhance language skills.
Referral incentive for recommending new team members.
Enjoy office amenities like snacks, massages, beverages, and games at the Florianópolis HQ.
Recruitment Process:
Initial chat with a Tech Recruiter about the role and your background.
Completion of a behavior and code assessment as part of the tech evaluation.
Assessment review by Ubiminds' CS Manager.
Interview with the Hiring Manager before receiving an offer.
Completion of a background check throughout the hiring process.
Ubiminds
Engineering Manager (431)
USA
USA
Full time
Remote
Ubiminds is seeking an Engineering Manager to join their team. This role requires a blend of strong leadership skills and hands-on technical expertise. The ideal candidate will excel in team building, software delivery, and taking ownership of end-to-end project outcomes.
Responsibilities include mentoring and developing engineers, ensuring high levels of productivity and reliability within the engineering teams, setting and maintaining engineering standards, leading team roadmaps and priorities in collaboration with other departments, designing and maintaining APIs, backend services, systems, and supporting user-facing experiences, overseeing partner integrations from start to finish, managing engineering tasks while also contributing technically when necessary, planning and executing work on monthly and quarterly timelines, liaising with external partners for efficient solutions, leading recruitment efforts, and facilitating team growth in multiple streams.
Key requirements include proven experience in leading engineering teams that consistently deliver production software, competence in balancing people management with technical contributions, expertise in designing and building scalable APIs, hands-on experience in developing AI or ML features/projects, adeptness in planning and executing projects over different time horizons, exceptional organization and collaboration skills, proficiency in English communication, and deep knowledge of Ruby or Rust programming languages.
Desirable qualifications include experience in regulated or data-heavy environments, familiarity with event-driven architectures or messaging systems, prior experience mentoring other tech leads or engineering managers, exposure to distributed or offshore team environments, and a background in platform or integration-driven product development.
The chosen candidate will demonstrate leadership over two engineering teams of varying seniority levels, emphasizing ownership, collaboration, autonomy, and continuous improvement within the teams. Benefits of this role include comprehensive healthcare coverage, FSA options, a flexible PTO policy, pre-tax commuting benefits, and a home office stipend for ensuring comfortable remote work arrangements.
The interview process involves an initial discussion with the Tech Recruiter, followed by the client's recruitment process, ultimately leading to a formal job offer. Ubiminds may utilize AI tools to aid in specific hiring processes, such as application review or resume analysis, although final decisions are made by human evaluators. For inquiries concerning data processing, candidates are encouraged to reach out for further clarification.
Responsibilities include mentoring and developing engineers, ensuring high levels of productivity and reliability within the engineering teams, setting and maintaining engineering standards, leading team roadmaps and priorities in collaboration with other departments, designing and maintaining APIs, backend services, systems, and supporting user-facing experiences, overseeing partner integrations from start to finish, managing engineering tasks while also contributing technically when necessary, planning and executing work on monthly and quarterly timelines, liaising with external partners for efficient solutions, leading recruitment efforts, and facilitating team growth in multiple streams.
Key requirements include proven experience in leading engineering teams that consistently deliver production software, competence in balancing people management with technical contributions, expertise in designing and building scalable APIs, hands-on experience in developing AI or ML features/projects, adeptness in planning and executing projects over different time horizons, exceptional organization and collaboration skills, proficiency in English communication, and deep knowledge of Ruby or Rust programming languages.
Desirable qualifications include experience in regulated or data-heavy environments, familiarity with event-driven architectures or messaging systems, prior experience mentoring other tech leads or engineering managers, exposure to distributed or offshore team environments, and a background in platform or integration-driven product development.
The chosen candidate will demonstrate leadership over two engineering teams of varying seniority levels, emphasizing ownership, collaboration, autonomy, and continuous improvement within the teams. Benefits of this role include comprehensive healthcare coverage, FSA options, a flexible PTO policy, pre-tax commuting benefits, and a home office stipend for ensuring comfortable remote work arrangements.
The interview process involves an initial discussion with the Tech Recruiter, followed by the client's recruitment process, ultimately leading to a formal job offer. Ubiminds may utilize AI tools to aid in specific hiring processes, such as application review or resume analysis, although final decisions are made by human evaluators. For inquiries concerning data processing, candidates are encouraged to reach out for further clarification.