AI Cloud Engineer

Date: May 11, 2024

Location: Dhaka, BD, 1212 BD

Company: Optimizely

At Optimizely, we're on a mission to help people unlock their digital potential. We do that by reinventing how marketing and product teams work to create and optimize digital experiences across all channels. With Optimizely One, our industry-first operating system for marketers, we offer teams flexibility and choice to build their stack their way with our fully SaaS, fully decoupled, and highly composable solution.  
We are proud to help more than 10,000 businesses, including H&M, PayPal, Zoom, and Toyota, enrich their customer lifetime value, increase revenue and grow their brands. Our innovation and excellence have earned us numerous recognitions as a leader by industry analysts such as Gartner, Forrester, and IDC, reinforcing our role as a trailblazer in MarTech. 


At our core, we believe work is about more than just numbers -- it's about the people. Our culture is dynamic and constantly evolving, shaped by every employee, their actions and their stories. With over 1500 Optimizers spread across 12 global locations, our diverse team embodies the "One Optimizely" spirit, emphasizing collaboration and continuous improvement, while fostering a culture where every voice is heard and valued. 

Join us and become part of a company that's empowering people to unlock their digital potential! 


As a Cloud Engineer specializing in AI and Machine Learning, you will play a crucial role in supporting our organization's AI and machine learning development team. You will be responsible for designing, implementing, and maintaining cloud infrastructure solutions tailored to the unique requirements of AI and machine learning workloads. Working closely with cross-functional teams, you will ensure the reliability, scalability, and security of our cloud environments dedicated to AI and machine learning projects. The ideal candidate will have a strong background in cloud technologies, automation, and a solid understanding of AI and machine learning concepts.

Job Responsibilities

  • Collaborate with AI and machine learning developers to understand infrastructure requirements for training, testing, and deploying machine learning models. 
  • Design and implement cloud infrastructure solutions optimized for AI and machine learning workloads, including high-performance computing (HPC) clusters, GPU instances, and distributed storage. 
  • Deploy and manage cloud resources using Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Azure Resource Manager, tailored to AI and machine learning use cases. 
  • Configure and optimize cloud services to support AI and machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn, ensuring high availability and performance. 
  • Implement security best practices and compliance standards specific to AI and machine learning data and models, including data encryption, access control, and model versioning. 
  • Collaborate with data engineers to design and implement data pipelines for ingesting, preprocessing, and transforming data for machine learning tasks. 
  • Develop automation scripts and workflows to streamline the deployment, monitoring, and scaling of AI and machine learning workloads. 
  • Troubleshoot issues related to cloud infrastructure, resource utilization, and performance bottlenecks in AI and machine learning workflows. 
  • Monitor and analyze cloud resource usage and performance metrics to identify optimizations and cost-saving opportunities. 
  • Stay updated on emerging AI and machine learning technologies, tools, and best practices to recommend innovative solutions and improvements.

Knowledge and Experience

  • 3+ years hands-on experience in a MLOps/ML Engineering/DevOps related field 
  • Experience in designing and implementing cloud and data engineering systems 
  • Experience with cloud computing infrastructure (AWS/Azure/GCP) 
  • Experience in DevOps and containers (Docker, Kubernetes) 
  • Hands-on experience in configuring and monitoring CI/CD pipelines (GitHub) 
  • Experience with AI and machine learning model training and optimization techniques. 
  • Knowledge of specialized AI and machine learning infrastructure solutions such as NVIDIA GPU Cloud (NGC) or AWS AI/ML services. 
  • Familiarity with AI model deployment and serving frameworks such as TensorFlow Serving or Amazon SageMaker. 
  • Experience with big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka in the context of AI and machine learning applications. 


Bachelor's degree in Computer Science, Engineering, or a related field. Or Equivalent Experience

Our new, cutting-edge office space in Dhaka is a testament to our dedication to enhancing your work experience. This state-of-the-art workspace features open workstations, a fully equipped kitchen, a nap room for relaxation, a tranquil zen garden, and an entertaining area, all designed to provide you with the ideal environment to thrive and grow. 


As part of our commitment to you, here are other benefits and perks you can expect:  


  • Best-in-class compensation plans  
  • Two annual festival bonuses  
  • Recognition and rewards programs  
  • Paid Maternity (4 months) & Paternity Leave (12 weeks)  
  • Flexible vacations days and working hours  
  • Annual Work/Service Anniversary Leave  
  • Comprehensive medical & life insurance for you and your dependants 
  • Volunteering opportunities to make a difference  
  • Chance to work alongside our incredible global team  
  • Monthly and quarterly regional and global team-building events  
  • Communal transport facilities inside Dhaka to and from the office  
  • Free catered lunch every day   
  • An agile performance review process that encourages ongoing transparency between managers and direct reports  
  • Enablement program and soft skill training to support internal career growth and development   

At Optimizely, our standardized language is English, and it is crucial to have good English communication skills to be successful in your global role. All our external and cross-location communication is done in US English (en-us), but internally you can speak in whichever native language you most identify with.


Optimizely is committed to a diverse and inclusive workplace. Optimizely is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.