Senior Machine Learning Engineer
About the job
Why work at Logiwa?
Logiwa is a rocket headed straight for the moon! Since 2017, we have been dedicated to being a world-class partner for warehouse and inventory based businesses. We have the most integrated software in our class, and we provide seamless inventory and warehouse management support to enable our customers to succeed. We are a team that’s small but mighty, and we’re scaling this mountain all the way to the summit! We’re looking for people with a range of talent (Get it? Range, like mountains!) to join our team as we climb to the top.
On top of our success-driven culture, we are a company that is passionate about our people. We provide a fun, inclusive, and collaborative environment with endless opportunities for growth and development. Whoever you are- rocket enthusiast, mountaineer, chess master, Netflix binger- come find your place with us here at Logiwa. Take a look and see how you can contribute to this fast-growing team.
The Job Details
As a Senior Machine Learning Engineer at Logiwa, you'll play a pivotal role in transforming data into actionable insights that drive our business forward. You'll collaborate with cross-functional teams to understand business needs, develop innovative ML models, and implement solutions that impact our operations and products directly. Your work will contribute to shaping the future of E-commerce FMS Industry through the power of AI and ML technologies.
What you’ll do as a Senior ML Engineer
- Evaluate and Define Solutions: Understand business cases to evaluate potential solutions, leveraging ML and AI to address complex challenges.
- Data Analysis and Insight Generation: Analyze large, complex data sets to translate them into actionable insights. Simplify data sets to solve a wide array of challenging problems using analytical and statistical approaches.
- Data Preparation and Preprocessing: Perform the preparation and preprocessing of both structured and unstructured data to ensure model accuracy and effectiveness.
- Model Development and Implementation: Design, develop, implement, and test both descriptive and predictive ML models, focusing on quality, accuracy, and consistency.
- Insight Visualization: Convert data into meaningful insights and present information using advanced data visualization tools and techniques.
- MLOps and Model Deployment: Solid experience in deploying models into production environments and familiarity with model management and deployment processes (MLOps).
You’ve Got:
- BSc degree in Computer Science, Data Science, Statistics, or a related field. A Master's degree is a plus
- At least 5 years of relevant work experience in machine learning, data science, or a related field
- Proficiency in Python and SQL/NoSQL (Cassandra, MongoDB) for quantitative analysis, modeling, and data manipulation
- Knowledge of cloud technologies such as AWS Sage Maker and MLOps practices
- Knowledge of basic data structures and algorithms and OOP
- Experience with Big Data Analytics and tools (e.g., Elasticsearch, MS SQL, Tableau) for data analysis and visualization
- Familiarity with model deployment, MLOps practices, and the lifecycle of machine learning models
- Experience with R and OpenCV is highly desirable
- Exceptional troubleshooting and problem-solving abilities
- Strong analytical skills and experience working with large volumes of data
- A strong desire to continuously learn, improve, and stay updated with the latest technologies and trends in AI/ML
- Innovative and creative problem-solving skills, with the ability to approach challenges from multiple angles
- Fluent in English, with excellent communication skills to effectively collaborate with both technical and non-technical teams
Benefits:
At Logiwa we offer:
- 100% remote work
- Monthly home office allowance
- Competitive bonus structure
- Meal vouchers
- Private health insurance
- English language training
- Educational discount for master’s degree from reputable private universities in Turkey
- Employee Assistance Program - confidential counseling and advice available by phone, web, or text
- An international team environment
- Regular team bonding events
- Community engagement opportunities like quarterly volunteer days
Location & Working Model
We are working in a full remote model. We have physical offices in İstanbul(Ataşehir Nidakule Kolektif House) where team members can get together and work collaboratively on a volunteer basis.
Company Culture
In Logiwa we give importance to creating a flexible and trusting workplace where everyone can work in harmony and be their best working self. We embrace teamwork and collaboration. We work hard but also play hard in monthly happy hours and team gatherings.
Equal Employment Opportunity
In Logiwa we believe in the power of diversity. We hire without prejudice and discrimination against language, religion, ethnicity, race, gender, sexual orientation, age or disability status. We think that our diverse cultures, backgrounds, beliefs, values, abilities, and lifestyles help us learn from each other and create a stronger company culture. We’re proud to have a genuinely diverse and inclusive workplace. We hire solely on the basis of the measurable technical examinations and competency-based interviews with equity and equality in mind.
We're looking forward to receiving your application!
Find More About us🔎 :
- Our Company: https://www.logiwa.com/company
- Our Career Page: https://www.logiwa.com/careers
- Logiwa in the Press: https://www.logiwa.com/company/press-news
- Our tech stack : https://stackshare.io/logiwa/logiwa
Please follow Logiwa on LinkedIn and Youtube!
