Role Overview
Machine Learning and AI is one of the four pillars, and you will be a part of the project teams as equivalent members. We are looking for candidates with a firm grasp of machine learning algorithms, data analytics, and software development practices.
We are looking for candidates who are keen to understand the business problem, engage with the customers and develop technical solutions accordingly. You apply your knowledge to real-life cases while boosting your understanding of engineering and business. We offer a nourishing, empowering, and interdisciplinary environment with a wide range of collective sectoral experience through seniors, experts of various fields, and client-side working experience.
Main Responsibilities
Senior ML Engineers lead the data and analytics-related workstream of the projects and have customer-facing experience daily. We usually operate from the customer site as a project team. The result of our projects is a tangible and sustainable improvement. We want people who are interested in delivering results rather than only creating long reports.
We expect you to use your problem-solving, analytical and relationship-building skills to solve customer problems. You should have clear communication skills to explain the technicalities of your workstream to the project team and to the customer in a simple manner.
- Working with the experts to set the standards for industry-grade machine learning and software engineering practices
- Helping to define and develop successful, robust and scalable models at every phase, including:
- Deciding convenient approaches and suitable tools
- Gathering, transforming and processing data
- Applying statistical analysis and prescription
- Building, testing and deploying models
- Reverse engineering or refactoring existing solutions to understand better, improve and extend their impacts and benefits
- Following both academic and industrial developments regarding AI/ML applications; publishing relevant content if possible
Qualifications for the role
- MSc/PhD or degree in Computer Science or a relevant subject. Surprise us with your skills without these degrees!
- Excellent command of spoken and written English
- Well-established foundation of machine learning principles and software engineering standards
- Solid understanding of statistical and machine learning algorithms and models, such as tree-based methods, probabilistic approaches, linear/nonlinear models, and deep learning
- Knowledge and experience of computer vision, natural language processing, signal processing and big data practices
- Good coding skills, especially in Python. Experience with standard libraries in ML pipelines such as NumPy, SciPy, Pandas, PySpark, SciKit-Learn, TensorFlow/PyTorch, NLTK, GenSim, OpenCV, MatPlotLib, Seaborn, etc.
- Familiarity with relational/non-relational databases, application development frameworks, and POSIX-based systems
What we offer
Senior ML Engineers are given a competitive package (including share options to a selected few) and are expected to manage the speed of their advancement as they see fit.
Qualifications
- Bachelor's degree from a top university (Successful profiles to date came from İTÜ, ODTÜ, Boğaziçi, Bilkent, Koç, Sabancı, and Galatasaray but we love to be challenged)
- MBA is preferred
- 5-15 years of industry or a global consulting experience
- Good understanding of one of the following industries is preferred (Banking, Insurance, FMCG, Retail, marketplace, fintech)
- High analytical and problem-solving skills
- Clear communications skills
- Can work effectively from the shop floor up to the Board level
About Dogma Alares
Dogma Alares is the next-generation strategy consulting house founded on four multi-disciplinary capabilities. These are:
- Strategy consulting
- Machine learning
- Experience & product design
- Technology architecture
Partner Team: https://www.dogmaalares.com/team
Only short-listed candidates will be contacted.