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ML Data Engineer

Date: Jan 23, 2023

Location: Dhaka, BD, 1213 BD

Company: Optimizely

Optimizely is known for content, commerce, and optimization with our Digital Experience Platform (DXP). Millions of experiences are served with our platform every single day, helping organizations grow exponentially online. We have the honor of serving some incredible customers – which makes what we do extremely rewarding. Optimizely has over 9,000 brands, from global organizations such as Visa, Sky, Yamaha, and Wall Street Journal to tech innovators like Atlassian, DocuSign, FitBit, and Zillow.


Not only are we financially sound and growing, but we have unicorn status: we exceeded $300M in revenue in 2020, is profitable already, and have all strategic options ahead of us. Optimizely continues to invest and addresses a market opportunity north of $30 billion, providing significant personal career growth opportunities.


We are an inclusive culture with a global team of 1200+ people across the US, Europe, Australia, Bangladesh, UAE, Singapore, and Vietnam. We blend European and American business cultures, emphasizing teamwork, inclusion, and moving fast. People make the difference!


We are looking for machine learning engineers who are passionate about building scalable machine learning applications and use data driven approaches to generate business isnights. As a key member of the Data Services team you will have the opportunity to build machine learning models and design/automate/deploy machines learning pipelines to solve key business problems across an array of technology. You will be working with a group of data scientists, data engineers, product owners and business SMEs to build intelligent & innovative solutions. You will be highly encouraged to explore new technologies and come up with innovative solutions that could take the team’s data science machine learning engineering capability to the next level. 

Working Hours

Sunday: 10 am - 6 pm
Monday to Thursday: 1 pm - 9 pm

Job Responsibilities

 - Write programs and develop algorithms to extract meaningful information from large amounts of both structured and unstructured data 
 - Preparation of data sets to feed into the algorithm
 - Analysis and development of data structures
 - Dealing with machine learning solutions for data processing
 - Conduct experiments and test different approaches
 - Optimize programs to improve performance, speed, and scalability
 - Collaborate with data engineering to ensure clean records
 - Recommend useful machine learning applications
- Work with internal stakeholders to explore and understand business data.
- Implement machine learning model lifecycle management framework.
- Build model performance tracking tools, to monitor model performance, identify drivers and provide recommendations for optimization
- Author technical documentation and reports to communicate process and results

Knowledge and Experience

 - 4+ years hands on experience in building data science applications and machine learning pipelines.
- Working knowledge of one or more SQL languages: Oracle, MySQL, PostgreSQL, Redshift, etc.
- Working knowledge of one or more scientific programming languages/packages: Python or R
- Development experience in at least one programming language: Python, Java, C++, etc.
- Knowledge of common machine learning and statistics frameworks and concepts
- Experience with large data sets, distributed computing and cloud computing platforms.
- MLOps experience is highly regarded.
- Experience with Automation tools like Airflow is plus


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


Driving Continuous Improvement
Driving for Results
Driving Projects to Completion
Interacting with People at Different Levels
Using Computers and Technology

Why you'll love working here

  • Our culture is the most important thing we offer: a place to do your best work and a chance for your voice to be heard in a democratic environment as we shape a high-growth space.  

  • We currently work from home; however, we plan to return to the office by early Q2, 2023.

  • Communal transport facilities inside Dhaka and free catered lunch when we return. 

  • Best-in-class compensation plans 

  • Unlimited vacation days and flexible working hours 

  • Two annual festival bonuses 

  • Medical insurance 

  • An agile performance review process encourages ongoing transparency between managers and direct reports. 

  • Monthly and quarterly regional and global team-building events 

  • Enablement program and soft skill training to support internal career growth and development   

  • Reward and recognition programs  

  • Volunteering and opportunities to give back  

  • Chance to work with our incredible global team all over the world

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.