Senior Machine Learning Engineer (Production & MLOps Focus)

Consulting Principal AWS Cloud Engineer

Software Engineer, Quality Analyst

Lead Software Engineer, QA

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>Demonstrated ability to drive cultural change and advocate for cloud transformation Key Responsibilities Cloud Strategy &amp; Leadership&nbsp;</li><li>Develop and implement a comprehensive AWS cloud strategy, ensuring alignment with business and technology goals.&nbsp;</li><li>Provide technical leadership and advocacy, championing cloud-native best practices and innovation.&nbsp;</li><li>Lead and drive architectural decisions, ensuring scalability, security, and operational efficiency.</li><li>Cloud Architecture &amp; Design&nbsp;</li><li>Architect secure, scalable, and highly available AWS cloud environments.&nbsp;</li><li>Develop and maintain enterprise-wide cloud blueprints, patterns, and frameworks to drive consistency.&nbsp;</li><li>Research and integrate emerging cloud technologies to foster continuous innovation. Infrastructure as Code &amp; Automation&nbsp;</li><li>Lead adoption and implementation of Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, and Helm.&nbsp;</li><li>Design and optimize CI/CD pipelines to streamline cloud deployments and operations.&nbsp;</li><li>Implement self-healing and automated failover mechanisms to enhance resilience and reliability.</li><li>Kubernetes &amp; Cloud-Native Technologies&nbsp;</li><li>Manage and optimize Kubernetes clusters (EKS, Helm, IAM) for scalability and security.&nbsp;</li><li>Define and enforce best practices for containerized applications and orchestration.&nbsp;</li><li>Improve Kubernetes networking, ingress, and observability solutions to enhance performance. Security &amp; Compliance&nbsp;</li><li>Establish and enforce security best practices for AWS environments, including IAM, WAF, Secret Manager, and encryption.&nbsp;</li><li>Implement zero-trust security models and secure multi-account AWS environments.&nbsp;</li><li>Conduct security audits, incident response, and ensure compliance with industry standards. Monitoring, Logging &amp; Reliability Engineering.</li><li>Deploy and manage monitoring tools (DataDog, Splunk, CloudWatch, Coralogix) to ensure visibility and observability.&nbsp;</li><li>Implement SRE principles to enhance system uptime, reliability, and efficiency.&nbsp;</li><li>Conduct post-mortem analysis and drive continuous improvements in cloud performance. Collaboration &amp; Thought Leadership&nbsp;</li><li>Work closely with software developers, system engineers, and security teams to design and implement cloud solutions.&nbsp;</li><li>Provide mentorship, training, and technical leadership to engineering teams.&nbsp;</li></ul> Requirements: <ul><li>10+ years of experience in IT, with at least 5+ years in AWS cloud engineering and architecture.</li><li>Deep understanding of AWS services, including EC2, EKS, RDS, S3, Lambda, VPC, IAM, Transit Gateway, and CloudFormation.&nbsp;</li><li>Expertise in Kubernetes (EKS, Helm, Daemon Sets, StatefulSets, Karpenter, external-dns, aws-cni).&nbsp;</li><li>Strong experience with Terraform, CloudFormation, and automation scripting (Bash, Python, PowerShell).&nbsp;</li><li>Hands-on experience managing CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps).&nbsp;</li><li>Proficiency in monitoring and logging tools (DataDog, Splunk, Coralogix, CloudWatch).&nbsp;</li><li>Strong networking and security knowledge (DNS, VPC, NAT, Security Groups, IAM).&nbsp;</li><li>Experience designing and developing scalable, production-grade software tools and automation scripts using Python. Preferred Certifications&nbsp;</li><li>AWS Certified Solutions Architect – Professional (or equivalent).&nbsp;</li><li>Additional certifications in Kubernetes (CKA), AWS Security, or DevOps are a plus. Leadership &amp; Soft Skills&nbsp;</li><li>Proven experience leading cloud architecture and strategy initiatives.&nbsp;</li><li>Ability to mentor and guide technical teams in a fast-paced, agile environment.&nbsp;</li><li>Strong problem-solving and troubleshooting skills in complex cloud environments.</li><li>Excellent communication skills with the ability to translate technical concepts for engineering, business, and executive stakeholders.&nbsp;</li></ul>

Responsibilities: <ul><li>Understand the test requirements and getting the team aligned with the same.&nbsp;</li><li>Participating on all technical aspects, interacting with client for all technical inputs and queries.&nbsp;</li><li>Automation and integration of complex processes.&nbsp;</li><li>Work closely with the development team on becoming the SME of the product.&nbsp;</li><li>Strong Testing Fundamentals , testing tools, reporting and frameworks.&nbsp;</li><li>Build and maintain the automation regression suite for the white box testing of the products.&nbsp;</li><li>Participate in requirement grooming and think form end customer perspective.&nbsp;</li><li>Should own all aspects of Testing, QA Framework for existing Products and Product end-to-end testing across functional, Security and Automation.&nbsp;</li><li>Work in a dynamic Agile environment and come up with solutions to meet project needs.&nbsp;</li><li>Communicate with Client and end customers in written and verbal.&nbsp;</li><li>Should be able to interact with client and customers for Escalated Customer Issues/Bugs.&nbsp;</li></ul> ﻿Requirements: <ul><li>Manual/Automation Testing - DataCom (Networking , Security, L2-L3, L4-L7 Protocols)&nbsp;</li><li>Hands on experience on Networking products Switch Router and Firewall&nbsp;</li><li>Good testing experience in Datacom/IP-Networking/Switching/routing domain.&nbsp;</li><li>Knowledge of Networking (L2/L3 protocols)&nbsp;</li><li>Knowledge of Testing tools : IXIA/SPIRENT&nbsp;</li><li>Security testing tool - Nessus, OpenVas, Achilles, Defensics (Anyone)&nbsp;</li><li>preferably knowledge / hands on in traffic generation tools such as IXIA or Spirent,&nbsp;</li><li>Performance and scalability testing, security, Penetration testing. packet sniffing tools.&nbsp;</li><li>Linux/containers Knowledge&nbsp;</li><li>Good understanding of testing concepts and hands-on experience in functional/sanity/regression testing.&nbsp;</li><li>CI/CD: Jenkins, GitHub, Bitbucket Actions&nbsp;</li><li>Scripting: Python and/or Shell is a must&nbsp;</li><li>Working experience in Routing protocols such as RIP, OSPF, BGP, MPLS VRRP&nbsp;</li><li>Good understanding of Management interface such as SNMP, Web, Yang, Netconf, Rest based interfaces etc&nbsp;</li><li>Good understanding of testing concepts and hands-on experience in functional/sanity/regression testing.</li><li>Strong written and oral communication skills.&nbsp;</li><li>High levels of motivation with a can-do attitude.&nbsp;</li></ul>

Role Description: <ul><li>Company’s Global R&amp;D team is looking for embedded software engineers and technical leaders to help build the future of industrial Automation &amp; Solutions.</li><li>You will have cross functional interactions and working closely with hardware, software, and product management teams.</li></ul> Responsibilities: As a Lead Software Engineer, the individual will work be in Embedded Software Development team. <ul><li>You provide the embedded platform infrastructure to enable our Industrial Networking Products.</li><li>You dedicate your creativity to a cross-functional, self-organized, agile team of developers.</li><li>You communicate with product owners, software architects and application developers in an intercultural and global work environment.</li><li>You contribute to the implementation of a Linux based Operating system for in-field embedded device families.</li><li>You assure the secure development life cycle of the platform and harden the attack surface of devices.</li><li>You will be part of the Software Platforms Teams, working on the development of in-house cybersecurity device software development for Industrial networks.</li><li>You will be building Firewall software for industrial routers which are complex multicore, multi-threaded software systems supporting high-availability, hundreds of network protocols and delivering high throughput packet forwarding.</li><li>Building brand new products, supporting new features, feature enhancements and sustenance of products across the R&amp;D product portfolio, using company’s device software running on company hardware.</li></ul> Requirements: <ul><li>You are a person with passion for coding and creating world class software systems for large organizations.</li><li>A Full time Bachelor/Master of Engineering Degree in Computer Science or equivalent.</li><li>You are able to abstract and use your creativity for disruptive solutions.</li><li>You are fluent in spoken and written English and have the ability or willingness to work in a Global environment</li><li>8 – 12 years’ experience in a product-based organization developing embedded software for Enterprise, Industrial Automation or Service Providers industry.</li><li>Solid understanding of embedded systems architecture, including microcontrollers, microprocessors, and real-time operating systems.</li><li>Ability to work on complex modular software systems, algorithms and be able to design, code, debug and automate software.</li><li>Expertise in C/C++ programming, data structures, Algorithms &amp; debugging tools.</li><li>Expertise in Linux based environment, with extensive knowledge of Linux Internals.</li><li>Hands-on operating systems, IPCs &amp; multi-thread programming experience.</li><li>Advanced working level knowledge of Computer networks and Network protocols in TCP/IP, switching (L2), routing (L3) &amp; security protocols.</li><li>One or more areas like QOS, Segment Routing, Multicast &amp; MPLS.</li><li>Ability to work with existing code base.</li><li>Hands-on experience in Versioning and Git/GitHub/Bitbucket repository.</li><li>Experience with Unit test strategy and execution.</li><li>Experience with Python or equivalent scripting languages</li><li>Experience with packet generating and network test tools.</li><li>Prior experience with any network OS provided by Networking companies like CISCO -IOS/IOS-XE/IOS-XR.</li><li>Designing &amp; understanding of network topologies &amp; deployment.</li><li>Linux containers and dockers.</li></ul>

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Senior Machine Learning Engineer (Production & MLOps Focus)

Consulting Principal AWS Cloud Engineer

Software Engineer, Quality Analyst

Lead Software Engineer, QA

WhiteCrow
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4 github Jobs found

Senior Machine Learning Engineer (Production & MLOps Focus)

Consulting Principal AWS Cloud Engineer

Software Engineer, Quality Analyst

Lead Software Engineer, QA

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

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