Machine Learning Engineer – Inspectorio

Website Inspectorio

About Us

Inspectorio is a cloud-based SaaS solution focused on creating a dynamic and risk-assessment based Quality and Compliance program with the goal of generating more sustainable and transparent supply chains. Our network is a one-stop-shop platform where all key stakeholders in the production process can connect to execute, monitor, and report on Quality and Compliance activities.

Our products provide digitization, automation, transparency, and traceability, with a strong focus on advanced analytics & Machine Learning. This enables us to leverage customer data for predictive insights and dynamic risk-based interventions.

Founded in 2016, Inspectorio set out to revolutionize the supply chain industry. Today, we work with many of the world’s leading brands and retailers, and over thousands of vendor and factory organizations across the globe to bring unparalleled levels of visibility, transparency, and accuracy to their quality, sustainability, and compliance initiatives!


This position is a balance between Research Engineer (Junior Data Scientist) and Data Engineer. We are looking for a candidate that has foundational knowledge on Data Science and ML, and at the same time experience with Software Development and Data Engineering skills.

The candidate will work mainly with Data Scientists and Product Owners on finding potential opportunities to enhance our products with more predictive and prescriptive capabilities. Candidate will collaborate with Data Scientists, Data Engineers and Software Engineers on the whole life-cycle of an ML project: from Data Collection, Data processing to Feature Engineering, Model Training and deployment of AI/ ML features to make our products/ platform smarter.


  • Profiling the data structure/ data format of our platform to identify opportunity for improvements so that it can be more relevant for future ML/ AI applications.
  • Collaborating with Data Scientists to breakdown potential predictive and prescriptive product ideas into ML problems and research the potential approaches.
  • Helping Data Scientist to perform statistical analysis and data collection/ data processing to prepare clean and relevant data sets that are ready for training process.
  • Collaborating with Data Scientist in feature engineering and model training process.
  • Supporting Data Scientist to deploy data model and data pipelines for feature engineering.
  • Building proof of concept or prototype around the ML model to demonstrate the potential of product features.
  • Working with Data Engineer and Software Engineer on the integration of ML model into our platform/ products.
  • Working with Data Engineer to build monitoring services for ML models and optimize the deployment process.
  • Working with Data Engineer to implement the model versioning framework and automatic retraining.


  • Bachelor’s degree in computer science, data science, mathematics, or a related field.
  • At least two years’ experience working with ML/ AI projects as Data Engineer, or Research Engineer, or Software Engineer.
  • Highly skilled in Python, especially in Python data stacks (Pandas, Numpy…).
  • Working knowledge with at least two of: Spark, MapReduce, HDFS, Mahout, Kafka is a plus.
  • Great experience with NoSQL and SQL databases, such as Postgres, MongoDB.
  • Experience with ETL techniques and frameworks: Airflow or Superset…
  • Experience with common data science toolkits, such as Python, R, Spark.
  • Experience with backend web development (Flask, Django) is a plus.
  • Experience to work with unstructured data, Natural Language Processing or Computer Vision project is a plus.
  • Master’s degree with Data Science related courses is a plus.


  • Great analytical and problem-solving skills.
  • Good communication and collaboration.
  • A team player who seeks for excellence, always be courageous, works in autonomy but keeps yourself humble.


Why it would be awesome to work with us


Competitive Salary

At Inspectorio, we only work with the best of the best. That’s why, if we invite you to join us, it’s because we recognize your amazing skills, value, and potential. It probably wasn’t easy for you to become this awesome, so we make sure to reward you for it.

Full Project Ownership

Are you an inventor? Want to start a new internship program? How about a soccer tournament? Or a whole new department within the company? Whatever it is that you want to do, we’re here to listen, and if your idea is good, we’ll give you all the resources you need to make it happen. When any Inspectorian wins, we all win.

Personal and Professional Growth

Inspectorians are our most valuable resource, so we make sure to invest heavily in them. All Inspectorians are eligible for funding to attend conferences, take courses, present their research, and more. This on top of the continuous mentoring and guidance you’ll receive guarantees you’ll grow as a professional and as a human while at Inspectorio.

Fun, Fun, Fun

We put our money where your smiles are. Company-sponsored trips, weekly parties, sporting events, and more. We make sure that Inspectorians enjoy coming to work by promoting as much fun as we can.

International Work Experience

We are going to take over the world…. Perhaps not quite, but we are a global company that thrives from the interactions between our different offices. Join us to work alongside Belarusians in Vietnam, Mexicans in Minsk, Filipinos in China and more.

Our Values


We pursue mastery and craftmanship. “Good enough” is our enemy.

We have a thirst and desire for knowledge and continuous improvement because there’s always an opportunity to be better.

We always find time to help and learn from others.


We act independently when we recognize an opportunity for improvement.

We seek guidance, alignment, and clear goals instead of orders or hand-holding.

We self-assess the quality and impact of our work, identify opportunities to improve and make changes proactively.


We share our opinion and insights, even if it’s uncomfortable.

We are candid and direct with everyone we work with.

We are willing to experiment and try something new, even if we’re not sure it will succeed.


We crave opportunities to learn from the people around us.

We focus on listening to other perspectives because we know we don’t have all the answers or best solutions.

We recognize that vanity and ego are the enemies of great ideas and outstanding products.

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