Do you want to delve deep into AI and ML?
Can you transform any business query into the perfect analysis to uncover the most effective strategy? Are you prepared to bring your expertise, understanding, and deep fervor for empirical research into our AI/ML team?
As a ML Engineer your essential responsibility will be implementing machine learning and processing solutions.
Unleash your potential with iOLAP and our solution creators on a global level!
What will your tasks be as a Lead ML Engineer at iOLAP?
- Completing a ML/DL project from start to finish
- Utilizing tools to examine, draw out, normalize relevant data
- Examining and modifying data science prototypes
- Researching and implementing suitable ML algorithms and tools
- Creating machine learning applications according to requirements
- Choosing suitable datasets and data representation methods
- Executing machine learning tests and experiments
- Enhancing existing ML libraries and frameworks
- Managing and guiding team members
- Coordinating with stakeholders to ensure project delivery
The technology we use:
Skills and competencies we anticipate you have for your successful job performance:
- Proficiency in developing software code in one or more programming languages (Java, Scala, Python, etc.)
- Proficiency in SQL and with experience in optimizing code
- Experience with core ML libraries (Keras, TensorFlow, Pytorch, MxNet etc.)
- Practical administrative experience, from setting up environments for various tools to managing it successfully (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 an ideal match if you are:
Ever wondered why iOLAP is the best place to work?