Senior Machine Learning Engineer (Production & MLOps Focus)

Partner Solutions Engineer - IOT

Senior AI Engineer

Business Intelligence Developer

Senior DevOps Engineer

Senior Software Engineer

Principal Software Engineer

Analytics Lead (AD&M Business Unit)

Frontend Sr/Lead Developer

Senior Data Engineer

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>Involves working closely with industrial partners to evaluate their technical readiness, helping them align with client architectural plays and providing technical direction to develop new solutions and services offerings</li><li>Collaborate with partners to help them build IoT solutions aligned with our client strategy.</li><li>Provide strategic feedback on technology trends and develop business plans for partner enablement.</li><li>Lead partner training initiatives and assist in positioning our client solutions effectively.</li><li>Work cross-functionally with internal teams to adapt or create solutions addressing partner needs.</li><li>Create and deliver compelling solution demonstrations and prototypes</li><li>Provide feedback to product and engineering teams to improve IoT SDKs, APIs, and documentation.</li></ul> Requirements: Industry &amp; Partner Experience: <ul><li>Experience working with partner companies or Gold/Select resellers</li><li>Exposure to automation environments, particularly with Rockwell Automation, Honeywell, or other industrial control vendors</li><li>Familiarity with the integration of OT (Operational Technology) and IT networks</li></ul> Technical Expertise: <ul><li>Strong hands-on knowledge of networking technologies (routing, switching, wireless, security)</li><li>Understanding of security solutions (e.g., ASA/FTD Firewalls, ISE, Umbrella, Duo, etc.)</li><li>Knowledge of network design and architecture in industrial or enterprise environments</li><li>(Optional) Experience with cloud networking (Meraki, SD-WAN, Azure, AWS, etc.)</li></ul> Presales &amp; Commercial Skills: <ul><li>Experience in a presales or customer-facing technical role</li><li>Ability to design and architect solutions based on customer requirements</li><li>Skilled at creating technical proposals, BoMs, solution documentation, and presenting to clients</li><li>Strong communication skills to interface with both technical and business stakeholders</li><li>Familiarity with commercial engagement models (SOWs, pricing, licensing)</li><li>Certifications (Preferred but not mandatory)</li><li>Certifications: CCNP, CCIE (preferred), or other relevant certifications</li><li>Industrial certifications: Rockwell Certified Network Engineer (RCNE), Honeywell Network Specialist, etc.</li><li>Cloud certifications (AWS/Azure/Meraki) – optional</li></ul>

Responsibilities: <ul><li>Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.</li><li>Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support</li><li>Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.</li><li>Build innovative AI solutions tailored to business requirements.</li><li>Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.</li><li>Communicate complex technical concepts and results to non-technical audiences effectively.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools</li><li>Lead the design and development of solutions using Agentic AI</li></ul> Requirements: Basic Qualifications: <ul><li>Bachelor’s or Master’s in Computer Science, Mathematics, Statistics, or a related field.</li><li>8+ years of experience in software engineering, data science, AI, or a related field.</li><li>Proficiency in software development and statistical analysis.</li><li>Experience with Large Language Models and their applications.</li><li>Strong communication skills and the ability to present technical results to business stakeholders.</li><li>Experience with solution architecting and design.</li><li>Hands-on experience with cloud platforms such as Azure and/or AWS.</li><li>Proficiency in programming languages such as Python, R, or similar.</li><li>Strong problem-solving skills and the ability to work independently as well as part of a team.</li></ul> Preferred Qualifications: <ul><li>Experience with large language models and supporting workflows.</li><li>History of project leadership and development.</li><li>Familiarity with Agile development.</li><li>Experience in applications on sales, marketing, and market research.</li><li>Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.</li><li>Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support.</li><li>Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.</li><li>Build innovative AI solutions tailored to business requirements.</li><li>Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.</li><li>Communicate complex technical concepts and results to non-technical audiences effectively.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools.</li><li>Lead the design and development of solutions using Agentic AI.</li></ul>

Responsibilities: <ul><li>Client is seeking a skilled Business Intelligence Developer to design, build, and maintain enterprise-scale data products and data sources using platforms like Tableau and Streamlit.</li><li>The ideal candidate will be a detail-oriented developer with strong technical skills who can translate business requirements into robust analytical solutions.</li><li>This role requires a mixture of business acumen and technical expertise, along with an ability to build strong partnerships and collaborate to solve problems.</li><li>Design, develop, and maintain interactive data products and reports in Tableau, Streamlit, and other BI tools.</li><li>Build and optimize data sources, ensuring data integrity and performance at enterprise scale</li><li>Collaborate with business stakeholders to gather requirements and translate them into technical specifications.</li><li>Develop scalable data product solutions that can accommodate growing user bases and data volumes.</li><li>Implement best practices for data product design, data modeling, and visualization techniques.</li><li>Monitor data product performance and user adoption, making improvements as needed.</li><li>Maintain documentation for data products, data sources, and development processes.</li><li>Troubleshoot and resolve technical issues with existing data products and data connections.</li><li>Support data governance initiatives by ensuring consistent data definitions and calculations across reports.</li><li>Participate in code reviews and maintain version control for BI development projects.</li><li>Stay current with BI tool updates and emerging visualization technologies.</li><li>Provide technical support to end users and assist with data product-related questions.</li><li>Contribute to the development of reusable components and templates for efficiency gains.</li></ul> Requirements: Qualifications <ul><li>3+ years in the data space as an analyst, engineer, or equivalent.</li><li>3+ years experience designing, implementing, operating, and extending enterprise dimensional models.</li><li>3+ years working with a large-scale data warehouse, preferably in a cloud environment.</li><li>3+ years of hands-on experience developing data products and reports in Tableau, including advanced calculations, parameters, and complex visualizations.</li><li>Experience with Streamlit or similar Python-based data product frameworks.</li><li>Experience with modern data stack technologies including cloud data warehouses (AWS/Snowflake) and ELT tools.</li><li>1+ years maintaining a project workstream to identify tasks, milestones, and deliverables.</li><li>Bachelors degree in Computer Science, Information Systems, Mathematics,</li></ul>

Role Description: <ul><li>Help Build the Next Generation of Cloud-Scalable AI-Based Security Products.</li><li>Have a passion for software security? Excel at implementing public cloud at scale? Desire to apply Machine Learning to solve complex problems.</li><li>This may well be the role for you. Our Communication and Collaboration Security products are cutting edge solutions that empower our client customers to Work Protected™ at tremendous scale.</li></ul> Responsibilities: <ul><li>As a DevOps Engineer within the Communication and Collaboration Security team, you’ll play an integral role in ensuring our code, tools, and deployments are consistent, high quality, and continually optimized.</li></ul> Your responsibilities will include: <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 our client solutions.</li><li>Innovate and champion improvements in QE and CI/CD processes and tools.</li></ul> Requirements: <ul><li>Domain experience in Quality Engineering and/or DevOps.</li><li>Understanding of CI/CD principles, automation technologies, and associated tools and how to optimize them for public cloud.</li><li>Hands-on experience deploying, scaling, monitoring, and maintaining services in AWS.</li><li>Solid scripting/automation experience, with command of two or more scripting languages used for DevOps and/or Test Automation.</li><li>Excellent interpersonal, communication and collaboration skills that enable you to work effectively across teams.</li><li>Bias for action and problem solving – eagerness to take initiative and make things happen.</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>

Responsibilities: Business Engagement &amp; Demand Shaping <ul><li>Partner with business leaders to identify high-value analytics, data science, and AI opportunities.</li><li>Prioritize and deliver data-driven use cases aligned with business goals and measurable value.</li><li>Establish a demand management framework to connect business needs with data capabilities.</li></ul> One Data Platform Adoption <ul><li>Drive adoption of enterprise data platforms, ensuring alignment with BU requirements.</li><li>Serve as a strategic advisor on data integration and self-service analytics.</li><li>Collaborate with technology teams to improve data accessibility, governance, and security.</li></ul> Legacy System Reduction &amp; Modernization <ul><li>Collaborate across IT and Data Engineering to retire legacy systems and migrate to modern platforms.</li><li>Track KPIs for system decommissioning and infrastructure optimization.</li><li>Oversee seamless data migrations while controlling costs.</li></ul> Data &amp; AI Literacy / Culture Building <ul><li>Lead initiatives to improve Data &amp; AI literacy, enabling confidence in data-driven decisions.</li><li>Develop and execute training strategies for self-service analytics adoption.</li><li>Foster a data-first culture by sharing success stories and best practices across the BU.</li></ul> Requirements: Qualifications &amp; Experience <ul><li>5+ years in data and analytics leadership roles with proven AI/ML adoption experience.</li><li>Strong ability to translate business needs into data strategies with measurable outcomes.</li><li>Expertise in enterprise data platforms, cloud architectures, and AI/ML technologies.</li><li>Experience in data governance, compliance, and AI ethics.</li><li>Skilled at engaging and influencing executives and cross-functional teams.</li><li>Proven success in driving organizational change and data literacy programs.</li><li>Preferred: experience in manufacturing, operations, or supply chain.</li><li>Familiarity with modern platforms such as Databricks, Snowflake, Azure, AWS, or GCP.</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>Develop and implement accurate forecasting models to predict product demand using historical data.</li><li>Leverage time series analysis techniques to generate business insights and drive data-driven decisions.</li><li>Continuously optimize forecasting models to adapt to changing business needs and improve forecast accuracy.</li><li>Apply advanced ML algorithms (e.g., XGBoost, Random Forest, Deep Learning) to solve complex business problems.</li><li>Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and actionable insights.</li><li>Develop and validate machine learning models to support various analytical use cases.</li><li>Design scalable and maintainable data pipelines and architectures to support analytical workflows.</li><li>Ensure high data quality and consistency across multiple data sources.</li><li>Collaborate with engineering teams to implement best practices in data storage, processing, and governance.</li><li>Build and deploy data solutions on Databricks, leveraging its ML and Spark capabilities.</li><li>Utilize AWS services (e.g., S3, EC2, Lambda, SageMaker) for scalable cloud-based model training and deployment.</li><li>Ensure cost-effective and optimized use of cloud resources in project implementations.</li><li>Design end-to-end analytics and ML solutions tailored to client needs.</li><li>Lead technical discussions and contribute to solution architecture.</li><li>Translate business requirements into technical specifications and deliver actionable results.</li><li>Understand key metrics and pain points within manufacturing and supply chain operations.</li><li>Use domain knowledge to frame problems accurately and drive impactful analytical outcomes.</li><li>Collaborate with stakeholders to ensure alignment between analytics and business goals.</li><li>Understand SAP modules related to supply chain and manufacturing (e.g., MM, PP, SD) Use SAP knowledge to enhance data modeling and business context understanding.</li></ul> Requirement: <ul><li>Skills Required: o Strong proficiency in Python o Expertise in Time Series Forecasting and Demand Forecasting o Familiarity with Advanced ML Algorithms and Data Analysis o Must have experience in Data Architecture – practical exposure required o Hands-on experience with Databricks and AWS (should be visible in past projects) o Design and solutioning experience highly valued</li><li>Strong background in data architecture, solution design, and end-to-end ML model lifecycle</li><li>Experience as Data Architect, Solution Architect, or in equivalent architectural roles</li><li>Should come from a product-based or data engineering-focused startup background</li></ul>

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18 aws dynamodb Jobs found

Senior Machine Learning Engineer (Production & MLOps Focus)

Partner Solutions Engineer - IOT

Senior AI Engineer

Business Intelligence Developer

Senior DevOps Engineer

Senior Software Engineer

Principal Software Engineer

Analytics Lead (AD&M Business Unit)

Frontend Sr/Lead Developer

Senior Data Engineer

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18 aws dynamodb Jobs found

Senior Machine Learning Engineer (Production & MLOps Focus)

Partner Solutions Engineer - IOT

Senior AI Engineer

Business Intelligence Developer

Senior DevOps Engineer

Senior Software Engineer

Principal Software Engineer

Analytics Lead (AD&M Business Unit)

Frontend Sr/Lead Developer

Senior Data Engineer

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

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