Senior AI Engineer

Date: Jan 31, 2024

Location: Dhaka, BD, 1212 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! 

  

If you are looking to work on the next generation of digital technologies in a fast-paced, hyper-growth environment with the best humans, please apply! We’re just getting started... 

Introduction

We are currently seeking a talented and experienced Senior AI Engineer to join our growing IT Department. The ideal candidate will have a strong background in artificial intelligence, machine learning, and deep learning, with a passion for solving complex problems and driving innovation.  You will be working with engineers, infrastructure, and business SMEs to build intelligent and innovative solutions with AI.

Job Responsibilities

Champion the use of AI applications across the business, contributing thought leadership to real business problems to effect positive change. Design, develop, and implement advanced AI models to solve complex business problems and improve our products and services. Write programs and develop algorithms to extract meaningful information from large amounts of both structured and unstructured data. 

Prepare datasets for feeding into algorithms, analyze and develop data structures, and deal with AI solutions for data processing. 

Conduct experiments and test different approaches, optimizing programs to improve performance, speed, and scalability. 

Collaborate with data engineering to ensure clean records and work with internal stakeholders to explore and understand business data. 

Implement AI lifecycle management framework and build model performance tracking tools to monitor model performance, identify drivers, and provide recommendations for optimization. 

Author technical documentation and reports to communicate processes and results. 

Mentor and guide junior AI engineers, fostering a culture of continuous learning and improvement.  

Knowledge and Experience

5+ years of hands-on experience in building data science applications and machine learning pipelines. Strong programming skills in Python or another relevant language. 

Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn. 

Working knowledge of one or more SQL languages: Oracle, MySQL, PostgreSQL, Redshift, etc. 

Experience with large datasets, distributed computing, and cloud computing platforms. 

MLOps experience is highly regarded. 

Experience with automation tools like Airflow is a plus. 

Excellent problem-solving, analytical, and critical thinking skills. 

Strong communication and interpersonal skills, with the ability to work effectively in a team environment. 

Education

Bachelor's or Master's degree in Physics, Mathematics, Statistics, Computer Science, Engineering, or a related field with project experience in machine learning and statistical modeling.  Or Equivalent Experience.

Benefits

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. We are dedicated to providing meaningful rewards and development opportunities for our employees, recognizing performance and creating a supportive working environment.  

  

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.

 

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