Time since we first saw it
Day 126
Up longer than most. Similar jobs usually come down between day 6 and day 71.
From 4,610 similar postings that came down. Coming down is not always a hire.
Machine Learning Engineer
Sarıyer, İstanbul, Turkey
Open 4 months, first seen by us 126 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign, develop and implement machine learning algorithms for complex problems
Handle data processing, feature engineering and data visualization
Deploy, scale and monitor ML models in production
Collaborate with cross-functional teams to build models that drive business growth
From the employer’s posting
designing, developing, and implementing cutting-edge machine learning algorithms to solve complex problems
you will be involved in data processing, feature engineering, and data visualization
ensuring seamless deployment, scaling, and monitoring of ML models
You will collaborate closely with cross-functional teams, employing your expertise in Python and various machine-learning frameworks to create models that drive business growth
What you’ll bring
All qualificationsCore experience
- 3+ years in machine learning, AI or related fields
- Bachelor's or Master's in Computer Science, Engineering or related field
- Proficiency in Python and at least one ML framework (TensorFlow, PyTorch, Keras)
- Ability to evaluate and optimize ML algorithms
- Familiarity with ML model deployment, scaling and monitoring
Preferred experience
- Experience with NLP, computer vision, or speech processing is a plus
Qualification wording
3+ years of experience in machine learning, artificial intelligence, or related fields
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Proficiency in Python and at least one machine learning framework (TensorFlow, PyTorch, Keras, etc.)
Ability to design and implement machine learning algorithms, evaluate their performance, and optimize as needed
Familiarity with ML model deployment, scaling, and monitoring
Experience with NLP, computer vision, or speech processing is a plus
Education & alternatives
What do we look for? - Bachelor's or Master's degree in Computer Science, Engineering, or a related field - 3+ years of experience in machine learning, artificial intelligence, or related fields
Posting record
Report an errorOpen 4 monthsWe first saw this posting 126 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 3, 2026126 days ago
- Recorded sightings
- 42
- Last seen by us
- Nov 6, 2026
- Employer says posted
- Mar 17, 2023
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Ollang is hiring
2 open jobs
- No new data jobs since July
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Keras
- PyTorch
- TensorFlow
Where the posting names them
What will you work on? As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing cutting-edge machine learning algorithms to solve complex problems and improve our products and services. You will collaborate closely with cross-functional teams, employing your expertise in Python and various machine-learning frameworks to create models that drive business growth. In addition, you will be involved in data processing, feature engineering, and data visualization, while ensuring seamless deployment, scaling, and monitoring of ML models. Your strong problem-solving, communication, and collaboration skills will be essential as you contribute to the ongoing innovation and growth of our company in a dynamic and fast-paced environment. Qualifications
- 3+ years of experience in machine learning, artificial intelligence, or related fields - Proficiency in Python and at least one machine learning framework (TensorFlow, PyTorch, Keras, etc.) - Experience with NLP, computer vision, or speech processing is a plus
Your next step
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Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Job Description
What will you work on?
As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing cutting-edge machine learning algorithms to solve complex problems and improve our products and services. You will collaborate closely with cross-functional teams, employing your expertise in Python and various machine-learning frameworks to create models that drive business growth. In addition, you will be involved in data processing, feature engineering, and data visualization, while ensuring seamless deployment, scaling, and monitoring of ML models. Your strong problem-solving, communication, and collaboration skills will be essential as you contribute to the ongoing innovation and growth of our company in a dynamic and fast-paced environment.
Qualifications
What do we look for?
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 3+ years of experience in machine learning, artificial intelligence, or related fields
- Proficiency in Python and at least one machine learning framework (TensorFlow, PyTorch, Keras, etc.)
- Experience with NLP, computer vision, or speech processing is a plus
- Familiarity with ML model deployment, scaling, and monitoring
- Ability to design and implement machine learning algorithms, evaluate their performance, and optimize as needed
- Experience with data processing, feature engineering, and data visualization techniques
- Understanding of the ethical implications of AI and machine learning, including fairness, accountability, and transparency
- Experience with reinforcement learning, unsupervised learning, or deep learning techniques and their applications in real-world scenarios
- Strong problem-solving, communication, and collaboration skills
- Eagerness to learn, innovate, and grow in a fast-paced environment
Additional Information
Perks for you!
Flat organization structure with a crackhead culture. 👻
Merit-based fast-growth environment. 🦸♀️
Meal Allowance. 🍔
Opportunity to work with clients and teammates from all around the world. 🧑🏻🤝🧑🏿
A team that works hard and parties harder. 🕺
Stock Option Program. 📜
20 paid vacation days. 🌴
A 13th salary following one year of service with the company. 💶
A wide range of online training courses. 📚
Summer and Winter Company Retreats 🚢
Rich referral program 👯
Brand-new technical setup 🖥️
An in-office ever-overflowing snack corner 🌯
Opportunity to work from different Ollang offices including Istanbul, Seoul, Dubai, and Paris offices. 🏢
Are you curious about what goes on behind the scenes in the making of a unicorn? Come become a unicorn-maker with us. Get ready for the world of Ollang.
But before that, let’s put you through a small translation test. What are we trying to tell you here?
Katıl nosotras se toi ont terbaik witze.
[Hint: We are multilingual. We can speak multiple languages in a sentence. We’re a showoff. 😉]
Company Description
What is Ollang?
We are running towards a borderless world where language barriers do not exist. We not only know it, but we work for it.
In pursuit of a globalized world, as the first end-to-end human-powered AI Dubbing start-up, Ollang alone has transcreated over 2 million minutes worth of content into more than 60 different languages so far, generating 3.5+ billion views worldwide, and telling inspiring stories to audiences. 🌏
We work with the biggest names in online streaming services like Netflix and YouTube, the entertainment sector, including ATV and TRT World, and production companies such as Ay Yapim and W4tch.TV, content creators like Marina Mogilko, and e-learning platforms like ClassDojo. 🎥
We are rushing towards the Series A round with our elite panel of investors like JIMCO, DAI, Orkun Isitmak, Hande Enes, Merzigo-KEY, Osman Alp Arli, Koray Bahar, to name a few.
Our culture relies upon freedom, empowerment, innovation, imagination, creativity, and self-discipline.
And now, we are looking for a high-performing Machine Learning Engineer who would become a member of this founding team of soon-to-be unicorn Ollang.
Sounds like you? Read the description below carefully and apply now! 💁♀️
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Sarıyer, İstanbul, Turkey
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.