Principal Machine Learning Engineer (AI/ML) - Splore
Singapore
Full time
Office
Compensation is not specified
Role
Machine Learning Engineer
Description
** of Company: What is the Company About?**
Splore, supported by Temasek and Menyala, is a visionary startup dedicated to revolutionizing how individuals access and engage with information. In a digital landscape flooded with data, the emphasis has shifted from acquiring information to swiftly and effectively pinpointing pertinent insights. Utilizing an AI Answer Engine, Splore delivers direct, context-sensitive answers, revolutionizing how information is unearthed and absorbed.
Splore offers businesses the opportunity to unlock the considerable value of their data assets by employing the company's exclusive Knowledge Index. This enables businesses to expedite decision-making processes with a foundation of deeper insights. Simultaneously, consumers benefit from swift, pertinent, and dependable answers, eliminating the frustration of sifting through irrelevant search outcomes.
Engineered by skilled professionals in machine learning, distributed systems, and consumer applications, Splore.com merges web data with proprietary sources to generate customized and diverse information outputs.
Key Responsibilities
The ideal candidate will lead the ML/AI team as a Principal Machine Learning Engineer, overseeing the entire ML lifecycle from feature development to operationalization and deployment. Serve as the primary ML authority for the CEO and Product Managers, steering advancements in core ML capabilities and improving engineering processes for widespread adoption in target markets. Leading a group of 4-6 AI software engineers, the role involves cultivating a culture that encompasses both AI innovation and ML product implementation. Additionally, this position entails fostering the professional growth, guidance, and mentorship of team members.
Role Specifics:
ML System Blueprint and Development: Conceptualize, design, and supervise the implementation of ML systems placing strong emphasis on data pipelines, MLOps for training/inferencing, and measuring service/model efficiency.
AI Research: Remain current with the latest AI evolutions, focus particularly on generative AI, recognize technologies and models suitable for Splore use scenarios, implement stringent experimentation practices, and drive continuous enhancements to ML features.
ML Evaluation and Enhancement: Institute a standardized model-evaluation approach emphasizing business impact, enforce appropriate model training/evaluation methods with relevant metrics justifying business value.
POC Management and Execution: Work closely with Product Management and Sales departments to craft and deploy POC AI solutions, effectively demonstrating and substantiating their influence.
ML Operations and Expansion: Evaluate business requirements to devise and implement appropriate ML training and inferencing frameworks and pipelines, endorse best practices in ML engineering for training/model optimization, and establish mechanisms for assessing and tracking model performance.
Technical Leadership and Supervision: Provide technical direction to AI engineers, ensuring high-quality technical output and continuous advancement. Provide career guidance and advancement prospects for engineers at various levels of seniority.
Desirable Attributes
The ideal candidate should possess the following traits:
- Adaptability: Flourishes in evolving environments, making well-informed choices amidst uncertainties.
- Collaboration Skills: Strong teamwork abilities required to align AI strategies with business and technical needs, necessitating effective communication across engineering, product, business, and client teams.
- Learning Agility: Comfortable in a start-up environment, unafraid of hands-on problem-solving and learning through experimentation to tackle new challenges. Active engagement with the latest ML trends and technologies.
- Technical Proficiency: An Engineering/Mathematics MS/PhD graduate with 15+ years' experience in ML/AI (with 10 years specifically in AI/ML and 5 years in DL/NLP). Proficiency in Python and hands-on experience with TensorFlow and PyTorch. Proficient in MLOps practices, cloud platforms like Azure, AWS, or GCP, database systems, and large-scale microservice architecture.
The position can translate business requirements into technical needs, with expertise encompassing software testing, benchmarking, and continuous integration.
Skills Required
Menyala
Website
www.menyala.comCompany size
Not specified
Location
Singapore
Description
Not specified
SADR B
Founding Technical Partners for Oferli – Elite Web & Mobile Development Team🌐
Remote, USA
Remote, USA
Part time
Remote
I am Sadr, CEO of Oferli. We are building a high-performance, elite technical team, and I am looking for 5 to 10 dedicated founding technical partners to join me in this mission.
The Vision:
Oferli is a 100% decentralized ecosystem. While we are rooted in Web3, our expertise spans across professional web and mobile application development. We are not just another agency; we are crafting the next generation of digital solutions. Our goal is to set a new standard for excellence, transparency, and decentralization.
What I am looking for:
I am building a professional, senior-level "Elite Team." I am looking for partners who are truly passionate about the vision—not just short-term gains. By combining our individual expertise and portfolios, we will establish Oferli’s collective professional reputation.
Requirements:
Proven Expertise: You must be a senior-level professional. Please provide your portfolio showcasing your best work in web and mobile development.
Commitment: This is a founding partnership. We are looking for those who believe in the mission and are ready to tackle complex challenges together.
Professionalism: We operate with high standards. Communication and efficiency are key.
How We Work:
Collaboration: We use professional, secure channels for all communications. Qualified candidates will be contacted via email to be invited to our private workspace on Notion to align on our roadmap and launch our upcoming projects.
Decentralized Operations: We leverage Web3 tools for collaboration and compensation, maintaining a fully decentralized environment.
Growth: We are launching with a core team of at least 5 founding partners, scaling to 10, to deliver high-impact results for our clients.
Application Process:
If you are a senior professional ready to build a world-class, decentralized ecosystem, apply here on LaborX. Qualified candidates will be contacted via email for further professional vetting and onboarding.
Let’s build the future, together.
Sadr B
CEO, Oferli
The Vision:
Oferli is a 100% decentralized ecosystem. While we are rooted in Web3, our expertise spans across professional web and mobile application development. We are not just another agency; we are crafting the next generation of digital solutions. Our goal is to set a new standard for excellence, transparency, and decentralization.
What I am looking for:
I am building a professional, senior-level "Elite Team." I am looking for partners who are truly passionate about the vision—not just short-term gains. By combining our individual expertise and portfolios, we will establish Oferli’s collective professional reputation.
Requirements:
Proven Expertise: You must be a senior-level professional. Please provide your portfolio showcasing your best work in web and mobile development.
Commitment: This is a founding partnership. We are looking for those who believe in the mission and are ready to tackle complex challenges together.
Professionalism: We operate with high standards. Communication and efficiency are key.
How We Work:
Collaboration: We use professional, secure channels for all communications. Qualified candidates will be contacted via email to be invited to our private workspace on Notion to align on our roadmap and launch our upcoming projects.
Decentralized Operations: We leverage Web3 tools for collaboration and compensation, maintaining a fully decentralized environment.
Growth: We are launching with a core team of at least 5 founding partners, scaling to 10, to deliver high-impact results for our clients.
Application Process:
If you are a senior professional ready to build a world-class, decentralized ecosystem, apply here on LaborX. Qualified candidates will be contacted via email for further professional vetting and onboarding.
Let’s build the future, together.
Sadr B
CEO, Oferli
Payment in Crypto
CleanSpark
Commercial Operations Associate
Full time
Remote
Job Overview
CleanSpark is seeking a Commercial Operations Associate to support their AI data center projects by overseeing procurement, contract administration, and financial analysis. In this role, you will report to the Senior Manager, Commercial Operations and play a key part in evaluating vendor proposals, analyzing budget discrepancies, addressing commercial issues, and providing recommendations to ensure successful project delivery.
Key Responsibilities
Conduct detailed analysis of project budgets, forecasts, and expenditures, and suggest actions to handle variances.
Evaluate vendor proposals and select suppliers based on factors like cost, terms, timely delivery, and risk assessment.
Engage in negotiations to finalize commercial terms, obtaining necessary approvals.
Review contracts, change orders, and manage commercial risks and vendor-related matters.
Address and resolve any non-routine procurement, invoice, or payment discrepancies as they arise.
Enforce commercial policies and financial controls, escalating issues if necessary, and work towards process improvements.
Develop reports outlining trends, risks, and strategic actions to enhance commercial operations.
Maintain precise records and project data in company systems, ensuring accuracy and completeness.
Collaborate with legal and business partners for contract agreements, vendor onboarding, and approvals.
Work closely with project teams and vendors to handle commercial challenges and support project execution effectively.
Facilitate audits and compliance reviews, offering recommendations for corrective actions.
Undertake other responsibilities as delegated.
The successful candidate for this role will possess professionalism, effective communication skills, and the ability to collaborate well within a team-oriented and inclusive environment.
Required Qualifications
Bachelor's degree in relevant fields like business, finance, construction management, or operations, or equivalent experience.
Two or more years of hands-on experience in commercial operations, procurement, financial analysis, or contract management.
Ability to assess commercial issues independently and provide sound business recommendations.
Proficient in budget analysis, vendor proposal evaluation, and commercial terms review.
Strong judgment in policy application, problem resolution, and understanding of approval processes.
Proficiency in Microsoft Office tools and experience with project or financial systems.
Solid analytical, organizational, and communication skills.
Willingness to travel occasionally based on business requirements.
Preferred Qualifications
Experience in data centers, engineering, construction, energy, or similar capital-intensive industries.
Exposure to vendor negotiations, commercial risk management, change orders, or procurement processes.
This position offers a salary range of $85,000 to $95,000 per year and may involve responsibilities requiring the use of a company vehicle or travel between job sites. Candidates must meet CleanSpark's vehicle insurance policy requirements.
CleanSpark is an Equal Opportunity Employer, providing a discrimination-free workplace. All aspects of employment, including recruitment, promotions, termination, and training, are governed by this policy. AI tools may be utilized in parts of the hiring process.
CleanSpark is seeking a Commercial Operations Associate to support their AI data center projects by overseeing procurement, contract administration, and financial analysis. In this role, you will report to the Senior Manager, Commercial Operations and play a key part in evaluating vendor proposals, analyzing budget discrepancies, addressing commercial issues, and providing recommendations to ensure successful project delivery.
Key Responsibilities
Conduct detailed analysis of project budgets, forecasts, and expenditures, and suggest actions to handle variances.
Evaluate vendor proposals and select suppliers based on factors like cost, terms, timely delivery, and risk assessment.
Engage in negotiations to finalize commercial terms, obtaining necessary approvals.
Review contracts, change orders, and manage commercial risks and vendor-related matters.
Address and resolve any non-routine procurement, invoice, or payment discrepancies as they arise.
Enforce commercial policies and financial controls, escalating issues if necessary, and work towards process improvements.
Develop reports outlining trends, risks, and strategic actions to enhance commercial operations.
Maintain precise records and project data in company systems, ensuring accuracy and completeness.
Collaborate with legal and business partners for contract agreements, vendor onboarding, and approvals.
Work closely with project teams and vendors to handle commercial challenges and support project execution effectively.
Facilitate audits and compliance reviews, offering recommendations for corrective actions.
Undertake other responsibilities as delegated.
The successful candidate for this role will possess professionalism, effective communication skills, and the ability to collaborate well within a team-oriented and inclusive environment.
Required Qualifications
Bachelor's degree in relevant fields like business, finance, construction management, or operations, or equivalent experience.
Two or more years of hands-on experience in commercial operations, procurement, financial analysis, or contract management.
Ability to assess commercial issues independently and provide sound business recommendations.
Proficient in budget analysis, vendor proposal evaluation, and commercial terms review.
Strong judgment in policy application, problem resolution, and understanding of approval processes.
Proficiency in Microsoft Office tools and experience with project or financial systems.
Solid analytical, organizational, and communication skills.
Willingness to travel occasionally based on business requirements.
Preferred Qualifications
Experience in data centers, engineering, construction, energy, or similar capital-intensive industries.
Exposure to vendor negotiations, commercial risk management, change orders, or procurement processes.
This position offers a salary range of $85,000 to $95,000 per year and may involve responsibilities requiring the use of a company vehicle or travel between job sites. Candidates must meet CleanSpark's vehicle insurance policy requirements.
CleanSpark is an Equal Opportunity Employer, providing a discrimination-free workplace. All aspects of employment, including recruitment, promotions, termination, and training, are governed by this policy. AI tools may be utilized in parts of the hiring process.
Nahclimited
Senior Full-Stack Engineer (Go)
Hong Kong
Hong Kong
Full time
Remote
A proprietary trading and research firm is looking for skilled full-stack engineers to contribute to the development of user interfaces and services for critical financial applications. These applications include visual analytics platforms and data-driven tools used by traders, researchers, and analysts. As a part of the team, you will be involved in working on TypeScript front-ends and Go services that support them. The team is transitioning its applications into a modular, plugin-based platform that will be expanded upon by other engineers. You'll be responsible for creating reusable UI modules, component libraries, and SDKs, in addition to developing end-user features. Ownership of your work will be from structured product requirement documentation through to production. No specific trading or finance background is mandatory; the team prioritizes engineering expertise and offers training in the domain.
What You'll Be Doing:
Collaborating with traders, researchers, and product managers to transform complex workflows into sophisticated UI solutions.
Designing and implementing high-performance, responsive front-end applications using current-generation TypeScript frameworks like Svelte, React, or Vue.
Building, operating, and designing Go back-end services with security and performance integrated into their design, overseeing service boundaries and data contracts end-to-end.
Constructing reusable UI components, libraries, and SDKs for a modular, plugin-based platform and connecting front-ends using typed SDKs and MCP-based interfaces.
Developing real-time UIs that process and display high-frequency market and on-chain data from various streaming sources using canvas-based charting and D3.js for unique views.
Guiding architecture and performance decisions for modular, extensible systems, maintaining automated testing and code review processes, and mentoring colleagues in best practices.
Key Requirements:
7+ years of hands-on experience in full-stack development with ownership of production on both the back-end and front-end.
Proficient in current TypeScript, HTML, and CSS along with a modern front-end framework such as Svelte, React, or Vue.
Strong Go experience capable of self-sufficiently designing, building, and operating production Go services.
Demonstrated ability in handling large datasets and real-time updates from back-end sources, constructing well-structured UI components and shared abstractions.
Sound understanding of performance optimization and rendering strategies in data-intensive applications, including the JavaScript runtime.
Thorough testing skills with unit and integration tests forming a standard part of the delivery process.
Excellent cross-functional communication skills along with experience with a major cloud platform and version control systems.
Desirable Skills:
Background or keen interest in trading systems or financial platforms, possibly including prior experience in hedge funds or proprietary trading.
Experience with real-time, streaming, or on-chain/crypto market data.
Knowledge of MCP or other AI-native/agent integration principles.
Experience building developer platforms, SDKs, or shared component libraries. Familiarity with CI/CD, Docker, and observability tools such as Datadog, Grafana, or ELK.
Further details regarding data processing in the context of the hiring process can be requested by contacting us directly.
What You'll Be Doing:
Collaborating with traders, researchers, and product managers to transform complex workflows into sophisticated UI solutions.
Designing and implementing high-performance, responsive front-end applications using current-generation TypeScript frameworks like Svelte, React, or Vue.
Building, operating, and designing Go back-end services with security and performance integrated into their design, overseeing service boundaries and data contracts end-to-end.
Constructing reusable UI components, libraries, and SDKs for a modular, plugin-based platform and connecting front-ends using typed SDKs and MCP-based interfaces.
Developing real-time UIs that process and display high-frequency market and on-chain data from various streaming sources using canvas-based charting and D3.js for unique views.
Guiding architecture and performance decisions for modular, extensible systems, maintaining automated testing and code review processes, and mentoring colleagues in best practices.
Key Requirements:
7+ years of hands-on experience in full-stack development with ownership of production on both the back-end and front-end.
Proficient in current TypeScript, HTML, and CSS along with a modern front-end framework such as Svelte, React, or Vue.
Strong Go experience capable of self-sufficiently designing, building, and operating production Go services.
Demonstrated ability in handling large datasets and real-time updates from back-end sources, constructing well-structured UI components and shared abstractions.
Sound understanding of performance optimization and rendering strategies in data-intensive applications, including the JavaScript runtime.
Thorough testing skills with unit and integration tests forming a standard part of the delivery process.
Excellent cross-functional communication skills along with experience with a major cloud platform and version control systems.
Desirable Skills:
Background or keen interest in trading systems or financial platforms, possibly including prior experience in hedge funds or proprietary trading.
Experience with real-time, streaming, or on-chain/crypto market data.
Knowledge of MCP or other AI-native/agent integration principles.
Experience building developer platforms, SDKs, or shared component libraries. Familiarity with CI/CD, Docker, and observability tools such as Datadog, Grafana, or ELK.
Further details regarding data processing in the context of the hiring process can be requested by contacting us directly.
Сrypto.com
AI Engineer, Trading Ops & Management
London, UK
London, UK
Full time
Hybrid
We are looking for a highly analytical and technically skilled individual to lead the advancement of our trading infrastructure. This unique role encompasses the operational responsibilities of a Trading Operations Specialist, the analytical aspects of a Risk Manager, and the technical expertise of an AI-focused Developer.
The ideal candidate will oversee daily operational processes, risk monitoring, and drive the digital transformation of these functions. Utilizing Large Language Models (LLMs), machine learning techniques, and advanced scripting, you will automate manual tasks, enhance predictive risk modeling, and develop real-time performance visualization tools and analyses.
Key Responsibilities:
Trading Operations and Performance Analysis with AI
Coordinate the entire trade lifecycle across various asset classes. Implement AI workflows using Python (ML) and MLOps tools to automate manual tasks and reconcile operations.
Conduct daily profit and loss attribution analysis, dissecting market movements, Greeks, and new activities. Employ AI/ML frameworks for anomaly detection in trade data and automated commentary generation for profit and loss reports.
Maintain data accuracy within trading systems, middle-office platforms, and financial ledgers.
Utilize AI tools to create reports and analyses on trading performance and perform adhoc business analytics.
Risk Monitoring & Control
Develop real-time, AI-powered risk models using machine learning to forecast market volatility and alert the desk to emerging risks.
Establish and update advanced risk reporting dashboards for the desk.
Requirements & Qualifications:
Experience: 3+ years in front-office operations, quant development, or a mix of risk management and systems architecture in a financial setting.
Technical Proficiency: Advanced skills in Python (for AI/ML) and strong understanding of SQL. Experience in developing AI workflows is highly advantageous.
Financial Knowledge: Familiarity with profit and loss attribution, financial controls, market risk indicators (Greeks, VaR), financial markets, and products.
Problem-Solving: Ability to approach operations with a "systems-thinking" mindset, aiming to automate manual tasks wherever possible.
Capacity: Capability to excel in a high-pressure environment, including working extended hours as needed to meet global trading requirements.
The ideal candidate will oversee daily operational processes, risk monitoring, and drive the digital transformation of these functions. Utilizing Large Language Models (LLMs), machine learning techniques, and advanced scripting, you will automate manual tasks, enhance predictive risk modeling, and develop real-time performance visualization tools and analyses.
Key Responsibilities:
Trading Operations and Performance Analysis with AI
Coordinate the entire trade lifecycle across various asset classes. Implement AI workflows using Python (ML) and MLOps tools to automate manual tasks and reconcile operations.
Conduct daily profit and loss attribution analysis, dissecting market movements, Greeks, and new activities. Employ AI/ML frameworks for anomaly detection in trade data and automated commentary generation for profit and loss reports.
Maintain data accuracy within trading systems, middle-office platforms, and financial ledgers.
Utilize AI tools to create reports and analyses on trading performance and perform adhoc business analytics.
Risk Monitoring & Control
Develop real-time, AI-powered risk models using machine learning to forecast market volatility and alert the desk to emerging risks.
Establish and update advanced risk reporting dashboards for the desk.
Requirements & Qualifications:
Experience: 3+ years in front-office operations, quant development, or a mix of risk management and systems architecture in a financial setting.
Technical Proficiency: Advanced skills in Python (for AI/ML) and strong understanding of SQL. Experience in developing AI workflows is highly advantageous.
Financial Knowledge: Familiarity with profit and loss attribution, financial controls, market risk indicators (Greeks, VaR), financial markets, and products.
Problem-Solving: Ability to approach operations with a "systems-thinking" mindset, aiming to automate manual tasks wherever possible.
Capacity: Capability to excel in a high-pressure environment, including working extended hours as needed to meet global trading requirements.
Сrypto.com
AI Engineer, Trading Ops & Management
Hong Kong
Hong Kong
Full time
Hybrid
We are looking for a highly analytical and technically skilled individual to drive the advancement of our trading infrastructure. This multifaceted role combines the tactical responsibilities of a Trading Operations Specialist with the strategic analysis of a Risk Manager and the technical expertise of an AI-focused Developer.
The ideal candidate will oversee daily operational processes and risk assessment while leading the digital transformation of these functions. You will utilize Large Language Models (LLMs), machine learning, and advanced scripting to automate manual tasks, enhance predictive risk modeling, and create real-time performance tools and analyses.
Key Responsibilities:
Trading Operations and Performance Analysis with AI
Manage trade lifecycles across various asset classes and automate operations using Python (ML) and MLOps tools.
Conduct P&L attribution analyses and utilize AI/ML frameworks to identify anomalies in trade data.
Maintain data integrity across trading systems and finance platforms.
Develop AI-driven reports on trading performance and conduct adhoc business analytics.
Risk Monitoring & Control
Create real-time, AI-powered risk models to predict market volatility and monitor cross-market risks.
Establish and update sophisticated risk dashboards for monitoring purposes.
Requirements & Qualifications:
Experience: 3+ years in front-office operations, quant development, or a combination of risk management and systems architecture in finance.
Technical Stack: Advanced proficiency in Python (AI/ML) and strong SQL skills. Experience in crafting AI workflows is advantageous.
Financial Acumen: Proficient in P&L attribution, financial controls, market risk indicators, and financial products.
Problem Solving: Ability to solve operational challenges with automated solutions.
Capacity: Thrive in a high-pressure environment with flexibility to accommodate global trading demands.
We may utilize AI tools to assess your Resume/CV against the job requirements to aid our recruitment process. These tools support but do not replace human decision-making. Final hiring determinations are made by humans considering the tool insights and other relevant factors. For further information on personal data processing, please get in touch with us.
The ideal candidate will oversee daily operational processes and risk assessment while leading the digital transformation of these functions. You will utilize Large Language Models (LLMs), machine learning, and advanced scripting to automate manual tasks, enhance predictive risk modeling, and create real-time performance tools and analyses.
Key Responsibilities:
Trading Operations and Performance Analysis with AI
Manage trade lifecycles across various asset classes and automate operations using Python (ML) and MLOps tools.
Conduct P&L attribution analyses and utilize AI/ML frameworks to identify anomalies in trade data.
Maintain data integrity across trading systems and finance platforms.
Develop AI-driven reports on trading performance and conduct adhoc business analytics.
Risk Monitoring & Control
Create real-time, AI-powered risk models to predict market volatility and monitor cross-market risks.
Establish and update sophisticated risk dashboards for monitoring purposes.
Requirements & Qualifications:
Experience: 3+ years in front-office operations, quant development, or a combination of risk management and systems architecture in finance.
Technical Stack: Advanced proficiency in Python (AI/ML) and strong SQL skills. Experience in crafting AI workflows is advantageous.
Financial Acumen: Proficient in P&L attribution, financial controls, market risk indicators, and financial products.
Problem Solving: Ability to solve operational challenges with automated solutions.
Capacity: Thrive in a high-pressure environment with flexibility to accommodate global trading demands.
We may utilize AI tools to assess your Resume/CV against the job requirements to aid our recruitment process. These tools support but do not replace human decision-making. Final hiring determinations are made by humans considering the tool insights and other relevant factors. For further information on personal data processing, please get in touch with us.