ML Operations Engineer

Date: Jul 10, 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.


We are seeking a talented MLOps/LLMOps Engineer to join our AI tools team. As an MLOps/LLMOps Engineer, a candidate will play a critical role in deploying, monitoring, and enhancing our AI-powered and LLM-based tools. They will ensure these systems are scalable, robust, and seamlessly integrated with our existing infrastructure, focusing on optimizing performance and automating workflows.

Job Responsibilities

  • Design and maintain efficient deployment pipelines for AI / LLM-based applications.
  • Monitor application performance metrics and system health, ensuring high availability and reliability.
  • Oversee and optimize our cloud resources across AWS/GCP, focusing on cost-effectiveness and performance.
  • Automate and manage ML lifecycle workflows, including data handling, model training, and model updates.
  • Implement best practices for the deployment and scaling of LLM-based applications.
  • Work with popular LLM APIs to integrate advanced language understanding capabilities into our solutions.
  • Facilitate continuous integration and delivery (CI/CD) for rapid and safe deployment of features.


Knowledge and Experience

  • Minimum 2+ years of experience in DevOps, MLOps, LLMOps or a similar role with a focus on AI/ML technologies.
  • Expertise in cloud services (AWS, Google Cloud Platform) and infrastructure management.
  • Deep understanding of machine learning and LLM deployment strategies.
  • Proficient with Docker, Kubernetes, and other containerization technologies.
  • Experienced in using CI/CD tools and version control systems.
  • Strong scripting skills in Python


Bachelor or Masters degree in Physics, Mathematics, Statistics, Computer Science or related field with project experience in machine learning and statistical modeling

Our culture is the most important thing we offer. We continuously aim to provide a high-growth space, both virtually and in person, where you can do your best work and, in the process, unlock your boundless potential. 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.