Senior Machine Learning Engineer (Production & MLOps Focus)

Technical Product Manager

Blockchain Engineer

Senior Software Engineer

Principal Software Engineer

Staff Engineer - AI/ML

Principal Applied Data Scientist

Frontend Sr/Lead Developer

Software Development Engineer in Test

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Responsibilities: <ul><li>Collaborate with stakeholders to define product requirements and roadmap.</li><li>Translate customer needs into clear and actionable technical specifications.</li><li>Write and refine business requirements and acceptance criteria.</li><li>Work closely with product managers to prioritize the backlog in JIRA.</li><li>Work closely with engineering teams to ensure successful and timely product development and delivery.</li><li>Act as the primary liaison between business stakeholders, clients, and technical teams.</li><li>Run cross-functional meetings and facilitate decision-making.</li><li>Provide transparency on product status, risks, and dependencies.</li><li>Review and test deliverables to ensure they meet business requirements.</li></ul> Requirements: <ul><li>Strong technical background with knowledge of blockchain technology and distributed systems.</li><li>Experience with Agile/Scrum methodologies and product management tools such as JIRA.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong communication and leadership abilities.</li><li>Strong organizational and facilitation skills.</li><li>Ability to work effectively in a fast-paced, dynamic environment.</li><li>Collaborative team player with the ability to influence without authority.</li></ul>

Responsibilities: <ul><li>Collaborate with frontend and backend developers to integrate smart contracts with web3 applications.</li><li>Rigorously review code to uphold standards of quality and functional robustness.</li><li>Maintain and enhance existing smart contracts based on evolving needs.</li><li>Stay ahead of the curve by updating knowledge on cryptographic and blockchain advancements, ensuring potential security threats are preempted and neutralized.</li><li>Work closely with product managers and stakeholders to crystallize technical needs and system architecture.</li><li>Offer your blockchain and smart contract expertise to a diverse team audience, catering to both technical and non-technical members.</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Engineering, or a related STEM discipline.</li><li>Excellent debugging and troubleshooting skills.</li><li>Strong written and verbal communication skills.</li><li>Self-motivated with the ability to work in a fast-paced, evolving environment.</li><li>Proficient communication skills in Englis</li><li>Strong understanding of blockchain security practices and potential vulnerabilities.</li><li>Proficiency in Hardhat and Foundry.</li><li>Experience with Solidity security testing tools like Slither, Mythril, Echidna</li><li>Practical experience with scripting languages like Javascript or Typescript.</li><li>Ability to craft unit, integration, fork, and invariant tests, ensuring code longevity.</li><li>Demonstrable aptitude for best development practices, data structures, algorithms, and methodologies.</li><li>Demonstrable experience with Solidity.Design, develop, test, and deploy smart contracts.</li></ul>

Responsibilities: <ul><li>Collaborate with stakeholders to define product requirements and roadmap.&nbsp;</li><li>Translate customer needs into clear and actionable technical specifications.</li><li>Write and refine business requirements and acceptance criteria.</li><li>Work closely with product managers to prioritize the backlog in JIRA.</li><li>Work closely with engineering teams to ensure successful and timely product development and delivery.</li><li>Act as the primary liaison between business stakeholders, clients, and technical teams</li><li>Run cross-functional meetings and facilitate decision-making.</li><li>Provide transparency on product status, risks, and dependencies.</li><li>Review and test deliverables to ensure they meet business requirements.</li><li>Manage the entire product lifecycle, from concept to launch and beyond.</li><li>Monitor market trends and competition to identify new opportunities and inform product strategy.</li><li>Ensure products meet quality standards and follow regulatory requirements.</li><li>Act as a subject matter expert and provide technical guidance to internal teams and external stakeholders.</li><li>In a constantly changing market landscape, stay current to maintain a strong understanding of digital asset infrastructure and tokenization frameworks.</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Engineering, or related field (Masters degree preferred).</li><li>3–7+ years of experience in product management, business analysis, or product ownership in financial services or fintech.</li><li>Strong technical background with knowledge of blockchain technology and distributed systems</li><li>Experience with Agile/Scrum methodologies and product management tools such as JIRA.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong communication and leadership abilities.</li><li>Strong organizational and facilitation skills.</li><li>Ability to work effectively in a fast-paced, dynamic environment.</li><li>Collaborative approach with the ability to influence without authority.</li><li>Passion for innovation in financial markets and digital assets.</li></ul>

Role Description: <ul><li>Dive into the forefront of innovation with our Gateway Security team, where we scan massive volumes of email traffic for our customers! Our pioneering Email Platform pushes on the boundaries of what’s possible, leveraging the latest technologies and tooling in AWS.</li></ul> Responsibilities: <ul><li>Implement Jenkins pipelines with modern CI/CD workflows</li><li>Create properly tuned alerts and dashboards to effectively monitor infrastructure and service health in production</li><li>Champion and leverage Infrastructure as Code technologies as a way of life</li><li>Contribute strongly to cloud migration efforts, bringing more and more capabilities into our standard AWS infrastructure</li><li>Write scripts and automated tests to ensure the resilience and quality of Mimecast solutions</li><li>Innovate and champion improvements in QE and CI/CD processes and tools</li></ul> Requirements: Experience <ul><li>7+ years of experience in a complex, multi-disciplinary environment, delivering products within specific time-scales and engaging with multiple senior stakeholders</li><li>Transform Product requirements into features/enhancements working with architects, Product Management and cross teams</li><li>Deliver AWS based Java services through CI/CD and Infrastructure as code using Terraform</li><li>Deploy, Monitor and analyze AWS usage, providing recommendations for cost optimisations without compromising system performance and reliability</li><li>Refactor monolithic applications into a microservices/k8s architecture</li><li>Provide support during critical production incidents and implement preventive measures</li><li>Demonstratable expertise in Java development, with a strong command of Java 11 and above</li><li>Proven experience in designing, developing, and optimizing backend systems for data processing at scale within AWS</li><li>In-depth knowledge and hands-on experience with AWS services, such as; ALB, S3, ElastiCache, IAM, CloudWatch, DynamoDb, EKS</li><li>Knowledge and experience on Kubernetes is must</li><li>Experience in building scalable, distributed REST/HTTP-based microservices on hybrid cloud environments</li></ul>

Role Description: <ul><li>Dive into the forefront of innovation with our Gateway Security team, where we scan massive volumes of email traffic for our customers! Our pioneering Email Platform pushes on the boundaries of what’s possible, leveraging the latest technologies and tooling in AWS.</li></ul> Responsibilities: <ul><li>Deliver AWS based Java services through CI/CD and Infrastructure as code using Terraform.</li><li>Deploy, Monitor and analyze AWS usage, providing recommendations for cost optimisations without compromising system performance and reliability.</li><li>Refactor monolithic applications into a microservices/k8s architecture.</li><li>Provide support during critical production incidents and implement preventive measures.</li></ul> Requirements: <ul><li>10+ years of experience in a complex, multi-disciplinary environment, delivering products within specific time-scales and engaging with multiple senior stakeholders.</li><li>Transform Product requirements into features/enhancements working with architects, Product Management and cross teams.</li><li>Demonstratable expertise in Java development, with a strong command of Java 11 and above</li><li>Proven experience in designing, developing, and optimizing backend systems for data processing at scale within AWS.</li><li>In-depth knowledge and hands-on experience with AWS services, such as; ALB, S3, ElastiCache, IAM, CloudWatch, DynamoDb, EKS.</li><li>Knowledge and experience on Kubernetes is must.</li><li>Experience in building scalable, distributed REST/HTTP-based microservices on hybrid cloud environments.</li></ul>

Role Description: <ul><li>As a Staff Engineer, you will play a pivotal role in shaping the future of Gen AI at our client by defining technical strategy, overseeing complex machine learning architectures, and ensuring seamless integration of Gen AI solutions into our platform and applications at scale.</li><li>You will mentor and guide a small engineering team while providing expertise in state-of-the-art AI/ML practices, ensuring a robust production pipeline and the professional management of models.&nbsp;</li></ul> Responsibilities: <ul><li>Help lead the technical strategy and execution for AI projects across the organization.</li><li>Designing, deploying, and managing the lifecycle of AI/ML models, including retraining and monitoring for continuous improvement within our solution.</li><li>Designing and driving Gen AI features on peta-byte scale datasets Driving innovation in NLP and other ML solutions, ensuring alignment with our client business goals. Architecting, developing and overseeing scalable, production-ready AI systems.</li><li>Providing technical mentorship to the AI/ML engineering team, fostering growth and collaboration.</li><li>Conducting in-depth research and staying abreast of advancements in Gen AI and deep learning technologies.</li><li>Collaborating with cross-functional teams, including Product, to evaluate business requirements and determine optimal AI solutions.</li><li>Reviewing code, offering best practices, and ensuring the delivery of high-quality solutions.&nbsp;</li><li>Representing our client technical excellence through publications, presentations, and participation in industry events.</li><li>Opportunity to work on cutting-edge AI projects at scale.</li></ul> Requirements: <ul><li>8+ years experience in managing large-scale datasets and distributed computing environments, with a preference for Google Cloud Platform expertise.</li><li>Java programming experience.</li><li>Experience with integration and deployment of AI/ML into production at scale within a SaaS solution.</li><li>Demonstrates independent thinking, capable of analyzing unique challenges, overcoming technical hurdles and delivering impactful AI solutions.</li><li>Hands-on experience with Generative AI techniques, including RAG pipelines, LLM fine-tuning, prompt engineering, and diffusion models.</li><li>Strong knowledge of generative AI frameworks and tools, such as Hugging Face, LangChain, or OpenAI APIs.</li><li>Experience in developing and scaling Generative AI solutions for NLP, vision, or multimodal tasks.</li><li>Advanced knowledge of modern AI frameworks, such as PyTorch, TensorFlow/Keras, Hugging Face Transformers, and JAX/Flax.</li><li>Expertise in Python, Docker, Kubernetes, and Helm.</li><li>Excellent communication skills, particularly in mentoring, knowledge sharing, and cross-team collaboration.</li><li>Willingness to be in office 3 days per week.</li></ul>

Role Description: <ul><li>Develop and own the data science roadmap that aligns with our client business goals.</li><li>Define success metrics and oversee the entire lifecycle of data initiatives from concept to production deployment.</li><li>Architect, develop, and deploy state-of-the-art machine learning models.</li><li>Champion best practices in model development, validation, and monitoring in production environments.</li><li>Partner with product, engineering, and business teams to translate business requirements into data-driven solutions.</li></ul> Responsibilities: <ul><li>Provide technical leadership and mentor the data science team.</li><li>Provide technical leadership and mentor the data science team.</li><li>Architect and provide production monitoring and support for our client ML services.</li><li>Stay ahead of industry trends by continuously evaluating emerging technologies and methodologies in data science and machine learning.</li><li>Represent our client technical excellence through publications, presentations, and participation in industry events.</li></ul> Requirements: <ul><li>10+ years of professional experience in data science with a proven track record in building and supporting production grade ML systems.</li><li>Must be highly proficient in Python with hands-on experience in machine learning frameworks (e.g., TensorFlow, PyTorch).</li><li>Experience working with large-scale datasets and distributed computing platforms like GCP.</li><li>Strong understanding of ML lifecycle and MLOps practices.</li><li>Experience with monitoring tools like Prometheus, Grafana and logging systems e.g. ELK stack.</li></ul>

Responsibilities: <ul><li>Develop distributed system architecture and system integration&nbsp;&nbsp;</li><li>Design event-driven applications leveraging microservices architecture on cloud platform&nbsp;</li><li>Carry out Model and assess complex IT solutions&nbsp;&nbsp;</li><li>Work closely with platform engineers and other IT professionals to choose compatible design solutions&nbsp;</li><li>Manage and comply with release management process&nbsp;</li><li>Analyze the scope and expected organizational impact of information systems&nbsp;</li><li>Evaluate existing systems and provide advice on how to meet organizational requirements&nbsp;</li><li>Ensure that the technical components of the project are in sync with the business needs of the organization&nbsp;</li><li>Ensure that information systems are secure from threat&nbsp;</li><li>Provide advice on project design, project costs, and expected benefit&nbsp;</li><li>Identifies technical debt and proactively recommends alternatives or improvements&nbsp;</li></ul> Requirements:﻿ <ul><li>University degree in Computer Science, Computer Engineering or related subjects preferred.&nbsp;&nbsp;</li><li>9+ years of work experience building applications.&nbsp;</li><li>Advanced understanding of IT infrastructure and enterprise architectures.&nbsp;</li><li>Proven experience with microservices-based architecture.&nbsp;</li><li>Proficiency in coding with modern OOP programming languages such as Java and Kotlin experience is a must.&nbsp;</li><li>API-first development experience.&nbsp;</li><li>Extensive experience with Cloud Computing (AWS preferable).&nbsp;</li><li>Expertise in any modern document-oriented database, with a preference for MongoDB&nbsp;</li><li>Experience in developing components for Event-Driven Architecture, with a minimum of production-level experience.&nbsp;&nbsp;</li><li>Experience working in an agile environment with a focus on engineering practices like testing, continuous integration etc.&nbsp;</li><li>Data Migration experience.&nbsp;</li><li>Good knowledge of virtualization.&nbsp;&nbsp;</li><li>Analytics mindset with critical thinking and problem-solving skills.&nbsp;</li><li>Fine knowledge of industry trends and emerging technologies.&nbsp;</li><li>Fluent in English.</li></ul>

Responsibilities: <ul><li>Contribute to planning, estimation, and refinement of stories, epics, and design changes as part of an Agile Scrum team.</li><li>Build out test strategies and plans to cover new areas of functionality, ensuring all necessary testing is performed.</li><li>Refine acceptance criteria into testable units and convert those into automated tests that execute efficiently and reliably.</li><li>Integrate automated tests with CI/CD pipelines and ensure successful automation as part of our standard build process.</li><li>Occasional manual testing when automation is not an option.</li><li>Report, reproduce, and help development resolve defects, emphasis on troubleshooting, root cause analysis, and prevention of similar issues in the future.</li><li>Freely debate ideas and rally behind decisions.</li><li>Pushing for continual improvement in everything we do.</li><li>Apply technology trends and industry innovations to our products and take initiatives.</li><li>Utilizing and embracing AI tools to assist in Quality Engineering activities.</li></ul> Requirements: <ul><li>Domain experience in Quality Engineering, especially automated testing.</li><li>Experience test planning and breaking down stories/requirements into testable units.</li><li>Full-stack experience in automated testing, validating both front-end and back-end interfaces, including RESTful API endpoints and web-based user interfaces.</li><li>Solid object-oriented programming skills and string experience automating in Java, JavaScript, typescript or similar.</li><li>Experience on building and scaling tests using frameworks like Junit/TestNg and/or Cypress/Playwright.</li><li>Experience/familiarity working with public cloud, especially AWS and utilising its SDK to interact with Cloud Services for testing.</li><li>Familiarity working with databases and an ability to incorporate database-side validation into automated tests.</li><li>Experience with CI/CD pipelines, especially using Jenkins and working with pipelines.</li><li>Some working knowledge of Microsoft Exchange, Microsoft 365, Azure Active Directory, and Windows Server.</li><li>Experience/knowledge in leveraging AI tools in building agents, using for reviews and generating skeleton code.</li><li>Some experience/familiarity with performance/scalability testing.</li><li>Bias for action and problem solving – eagerness to take initiative and make things happen.</li></ul>

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26 distributed databases Jobs found

Senior Machine Learning Engineer (Production & MLOps Focus)

Technical Product Manager

Blockchain Engineer

Technical Product Manager

Senior Software Engineer

Principal Software Engineer

Staff Engineer - AI/ML

Principal Applied Data Scientist

Frontend Sr/Lead Developer

Software Development Engineer in Test

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Skills

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26 distributed databases Jobs found

Senior Machine Learning Engineer (Production & MLOps Focus)

Technical Product Manager

Blockchain Engineer

Technical Product Manager

Senior Software Engineer

Principal Software Engineer

Staff Engineer - AI/ML

Principal Applied Data Scientist

Frontend Sr/Lead Developer

Software Development Engineer in Test

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.