Do you want to dive deep into AI and ML?
Are you able to turn any business question into just the right analysis to find the best approach? Are you ready to bring your experience, knowledge, and strong passion for empirical research into our AI/ML team?
As a ML Engineer your primary job will be implementing machine learning and processing solutions.
Explore your potential with iOLAP and our solution builders on a global scale!
What you will be doing as a ML Engineer at iOLAP?
- Delivering a ML/DL project from beginning to end
- Leveraging ETL tools to analyse, extract, normalize relevant data
- Studying and transforming data science prototypes
- Researching and implementing appropriate ML algorithms and tools
- Developing machine learning applications according to requirements
- Selecting appropriate datasets and data representation methods
- Running machine learning tests and experiments
- Extending existing ML libraries and frameworks
- Managing and supporting team members
- Coordinating with stakeholders to ensure project delivery
We build with:
Competencies and skillset we expect you to have to successfully perform your job:
- Proficiency in developing software code in one or more programming languages (Java, Scala, Python, etc.)
- Proficiency in SQL and PySpark with experience optimizing code
- Experience in using core ML libraries (Keras, TensorFlow, Pytorch, MxNet etc.)
- Hands-on administration experience, from setting up environments for various tools to successfully administering it (AWS preferred)
- Experience working with AWS cloud platform (Lambda, S3, C2, EMR, Dynamo DB, ML instances, etc.)
- Demonstrable skills in CV or NLP data preparation and pipeline implementation
- Technical fluency in data science lifecycle methodologies
- Experience with model deployment: containers, microservices, and serverless functions
- Strong validation, unit test, and debugging skills
- Knowledge of relational databases
- Proficient understanding of code versioning tools (Git)
We could be a perfect fit if you are:
Wonder why iOLAP is the best place to work?
Apply now and kick-off your career success!