platform engineer

VWorker Solutions India Pvt Ltd

<p><b>Profile:</b> Platform Engineer</p><p><b>Skills</b>: Data, Azure, AI, IaC, Terraform</p><p><b>Experience</b> - 7+ Years</p><p><b>Time</b>- 4 Hrs Per Day (Between 1 PM IST to 10 PM IST)</p><p><b>Location</b>: Remote</p><p><b>Job Summary</b></p><p>Platform Engineer with strong knowledge of Data to play a pivotal role in designing and engineering a robust, scalable Data Platform, with a strong focus on Azure and AI services. This is a hands-on role requiring deep technical expertise, resilience, and the ability to thrive in a fast-paced, complex environment.</p><p><b>Key Requirements:</b></p><ul><li>Proven experience as a Platform Engineer, within large, complex organisations</li></ul><ul><li>Focus on Azure-based Data Platforms</li></ul><ul><li>Strong hands-on experience with Azure Data Factory (ADF), Azure AI, Data Lake, Cognitive Services and OpenAI</li></ul><ul><li>Proven ability to deploy Azure services and Infrastructure as Code (IaC)</li></ul><ul><li>Deep knowledge of Terraform, automation and Infrastructure as Code (IaC)</li></ul><ul><li>Strong working knowledge of Snowflake engineering and operations</li></ul><ul><li>Solid understanding of security, networking, identity management and access control (automated via Terraform)</li></ul><ul><li>Good awareness of the DevOps approach</li></ul><ul><li>Excellent communication skills and stakeholder engagement</li></ul><p><b>Nice to have:</b></p><ul><li>Immediate availability</li></ul><ul><li>Background in Infrastructure to understanding concepts such as Networking, Firewalls and Security</li></ul><ul><li>Previous experience of deploying Virtual Machines, Data Lakes, Data vaults</li></ul><ul><li>Some exposure to GCP and it&rsquo;s AI capabilities</li></ul><ul><li>Scripting knowledge of Powershell / Bash / Python</li></ul><ul><li>Awareness of operational challenges</li></ul><p>Job Types: Part-time, Contractual / Temporary<br/>Contract length: 6 months</p><p>Pay: From &#8377;30,000.00 per month</p><p>Expected hours: 20 per week</p><p>Benefits:</p><ul><li>Work from home</li></ul><p>Experience:</p><ul><li>Azure: 7 years (Required)</li><li>Terraform: 3 years (Required)</li><li>Azure Data Factory: 3 years (Required)</li></ul><p>Work Location: Remote</p>

Platform Engineer

Bright Machines

<div><div><b>RETHINK MANUFACTURING</b></div><div></div><div><br>
The only way to ignite change is to build the best team. At Bright Machines&reg;, we&rsquo;re innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers&rsquo; unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next.</div><div></div><div><br>
Working with us means you&rsquo;ll have the opportunity to make lasting, impactful changes for our company and our customers. If you&rsquo;re ready to apply your exceptional skills to create the factory of the future, we&rsquo;d love to speak with you.</div><div></div><div><br>
ABOUT THE ROLE</div><div></div><div><br>
At Bright Machines, we are transforming the future of manufacturing with intelligent, software-driven automation. Our applications help designers create products that are optimized for automated assembly, making factories more efficient and effective.</div><div></div><div><br>
As a Platform Engineer you will design, builds and manage scalable and secure infrastructure, CI/CD pipelines and tools to enable fast-paced development of mission-critical &amp; complex industrial automation applications. You will work directly with multiple Software Engineering and AI/ML teams to build and deploy reliable infrastructure, CI/CD pipelines, and tooling. Your expertise will be pivotal in designing, developing and maintaining our stack, which includes:</div><ul><li>AWS and Azure Cloud</li><li>Kubernetes (managed and on-prem/self-hosted)</li><li>Infrastructure-as-Code</li><li>GitLab CI and GitOps
</li><li>GPU-based workloads</li><li>Metrics/logs/trace collection</li><li>Monitoring and alerting</li><li>Hardware-in-the-loop testing</li></ul><div></div><div><br>
This is an exciting opportunity to work with R&amp;D teams designing &amp; building software-defined automation solutions for modern factories. Our integrated solution consists of both on-prem and cloud infrastructure to operate and monitor the robotic assembly lines.</div>
<h3 class="jobSectionHeader"><b>WHAT YOU WILL BE DOING</b></h3><ul><li>
Design, implement, and manage scalable, reliable, and secure infrastructure for running applications and automation systems.</li><li>
Automate infrastructure provisioning, configuration management, and deployment processes using tools like Terraform, Helm/Kustomize, ArgoCD</li><li>
Develop and maintain CI/CD pipelines to ensure efficient and continuous delivery of software updates.</li><li>
Implement and manage logging, monitoring, and alerting systems, for troubleshooting and ensuring high availability &amp; reliability of the services.</li><li>
Drive &ldquo;shift-left &amp; shift-right&rdquo; on security. Ensure scans, compliance with the policies and best practices, including vulnerability management and incident response.</li><li>
Participate in on-call rotation for supporting our deployed systems</li><li>
Be the champion of best-practices and grow a strong DevOps culture</li></ul><h3 class="jobSectionHeader"><b>
WHAT WE WANT TO SEE
</b></h3><ul><li>5+ years of experience in DevOps role.</li><li>
Proven track-record of building &amp; maintaining infrastructure for mission critical applications / services.</li><li>
Experience with CI/CD tools and GitOps methodologies.</li><li>
Experienced writing code in Python and/or Shell
</li><li>Expertise in public cloud platforms such as AWS, Azure, or Google Cloud.</li><li>
Strong experience with infrastructure as code tools (Terraform, CloudFormation) and configuration management tools (Ansible)</li><li>
Proficiency in Docker, Kubernetes &amp; containerization tools</li><li>
Experience with observability tools (Prometheus/Grafana/Datadog/etc)</li><li>
Experience with HA workloads</li></ul><h3 class="jobSectionHeader"><b>
IT WOULD BE NICE IF YOU HAD</b></h3><ul><li>
Experience in restrictive/air-gapped environments</li></ul><div><b>
BE EMPOWERED TO CHANGE AN INDUSTRY</b></div><div></div><div><br>
Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market.</div><div></div><div><br>
Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes&rsquo; AI 50, awarded &ldquo;Best AI-based Solution for Manufacturing&rdquo; by AI Breakthrough, named a &ldquo;Technology Pioneer&rdquo; by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.</div></div><div></div>

Glow Beauty On Demand

<br><b>Job Title<br></b>ML Platform Engineer   Generative AI &amp; Machine Learning Infrastructure<br>Job Description<br>ML Platform Engineer   Generative AI &amp; Machine Learning Infrastructure<br> <br>Location: Dubai, UAE<br>Industry: Technology / AI / Food &amp; Q-commerce<br>Function: Machine Learning Engineering<br>Gender: Any<br>Candidate Nationality: Any<br>Job Type: Full-time<br> <br><b>Role Overview<br></b>Talabat, the leading on-demand food and Q-commerce app in the region, is seeking an experienced ML Platform Engineer to design, develop, and scale robust machine learning and generative AI platforms. The role involves building end-to-end ML infrastructure, enabling fast experimentation, efficient model deployment, and seamless monitoring to support next-generation AI-driven solutions for millions of users.<br> <br><b>Key Responsibilities<br></b> <br>* Build scalable ML platforms supporting data ingestion, model training, deployment, and monitoring for both traditional ML and generative AI models<br>* Design standardized ML workflows using tools like MLflow, Kubeflow, and implement CI/CD pipelines with Docker and Kubernetes<br>* Optimize generative AI deployments involving transformers, embeddings, RAG systems, and vector databases such as Pinecone, Redis, or Weaviate<br>* Implement real-time serving frameworks like TensorFlow Serving, NVIDIA Triton, or Seldon for production-grade inference<br>* Automate model lifecycle management and implement observability measures to track performance, detect drift, and maintain reliability<br>* Collaborate with data engineering and product teams to align ML infrastructure with strategic business goals<br>* Drive cloud infrastructure integration using AWS or GCP services, including Kubernetes clusters, managed ML services, and serverless components<br>* Ensure cost efficiency, performance optimization, and adherence to best practices for MLOps and generative AI workflows<br> <br><b>Qualifications and Experience<br></b> <br>* Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred)<br>* Minimum 3 years of experience in ML platform engineering, MLOps, or generative AI infrastructure roles<br>* Expertise in Python, ML frameworks (TensorFlow, PyTorch), and APIs such as Hugging Face and LangChain<br>* Hands-on experience with containerization, orchestration (Docker, Kubernetes), and infrastructure-as-code tools (Terraform, Helm)<br>* Proven ability to build real-time inference pipelines integrated with feature stores and streaming platforms like Kafka or Kinesis<br>* Familiarity with SQL for data processing and knowledge of observability tools for monitoring AI systems<br>* Strong understanding of model optimization techniques including quantization, batching, and prompt-tuning strategies<br><br>

ML Platform Engineer

Accenture

<p><b>Project Role : </b>Data Platform Engineer<br>
<b>Project Role Description : </b>Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
<br>
<b>Must have skills : </b>Databricks Unified Data Analytics Platform<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>3</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to enhance the overall data architecture strategy. Job Title: Generative AI Engineer Job Description: We are seeking a Generative AI Engineer with 3.5+ years of experience to work with cutting-edge AI technologies, including RAG (Retrieval-Augmented Generation), Agentic AI, and transformer-based architectures, along with strong Python programming skills, to design, implement, and optimize AI-driven data solutions. Roles &amp; Responsibilities: Design and implement AI-powered data pipelines leveraging RAG models and transformers for advanced knowledge retrieval and generation tasks. Utilize LangChain, LangGraph, and other frameworks to build and integrate intelligent workflows and conversational agents. Develop Agentic AI solutions to create autonomous, goal-driven agents that interact with dynamic environments and data. Optimize data storage, processing, and retrieval techniques for large-scale AI platforms. Engineer prompt structures for optimized performance in generative AI tasks, including natural language processing (NLP) and multimodal applications. Ensure robust data privacy and security measures are in place for all AI-driven systems. Continuously monitor, troubleshoot, and enhance AI system performance. Collaborate with cross-functional teams (e.g., Data Scientists, Engineers) to integrate generative AI models into real-world data solutions. Required Technical Skills: 3.5+ years of hands-on experience in Python for building AI models and systems. Strong expertise in Generative AI frameworks, such as RAG (Retrieval-Augmented Generation), transformers, and agentic models. Proficiency in LangChain, LangGraph, and Agentic AI frameworks to develop intelligent, goal-oriented agents and workflows. Hands-on experience with prompt engineering for optimizing generative AI outputs. Strong experience with cloud-based platforms like AWS, Azure, or GCP for deploying AI solutions. Deep understanding of data governance, compliance, and security standards in AI applications. Familiarity with NLP libraries (like Hugging Face, spaCy, NLTK) and machine learning frameworks (like TensorFlow, PyTorch). Experience working with Databricks or similar platforms for AI/ML model deployment and scaling. Preferred Skills: Experience in deploying AI models with real-time inference capabilities. Familiarity with reinforcement learning, active learning, and multi-agent systems. Knowledge of computer vision and multimodal AI techniques (text, images, video, etc.). Understanding of data modeling for AI-powered systems and integration with existing data pipelines. Educational Qualification: - 15 years full time education is required.</p>
<br>
15 years full time education

Data Platform Engineer

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