Who are we?
Logiwa is a premier provider of warehouse management and fulfillment software, offering cloud-based solutions designed for modern business needs. Our Logiwa IO Fulfillment Management System is crafted to support businesses in various sectors, including B2C, DTC, and third-party logistics (3PL). Unlike legacy WMS solutions, we deliver an agile, scalable, and innovative approach tailored to meet the demands of high-volume fulfillment.With headquarters in Chicago and Istanbul, we operate internationally, assisting companies across North America, Europe, and Asia with cutting-edge warehouse management technologies.
Why work at Logiwa?
At Logiwa, our mission is to fulfill brilliantly. We aim to revolutionize fulfillment by combining innovative technology with human expertise, enabling businesses to operate smarter, faster, and more sustainably. We envision a future where companies of all sizes can easily navigate the complexities of modern supply chains, optimize workflows, reduce costs, and enhance customer satisfaction. By combining cutting-edge technology with real-time insights, we strive to make supply chains smarter, more agile, and better connected.
We fulfill brilliantly for our people as well.
At Logiwa, we prioritize accountability, responsiveness, and togetherness. We stand by our work with reliability and trust, ensuring everyone can count on us. Staying connected is key. We listen, respond, and value every conversation to build meaningful relationships with our customers and our coworkers, locally and across the globe. Our collaborative spirit drives us to grow, learn, and innovate as a team, celebrating each other's successes and achieving more together.Logiwans are creative innovators, analytical thinkers, supply chain specialists, relationship builders, and more.
If you’re looking for a small but mighty team where your ideas have impact, and your career can take off, then Logiwa is a great place for you!
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 the 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, AI, and LLMs to address complex challenges.
- ETL and Data Pipelines: Design, build, and maintain scalable and reliable ETL pipelines using tools like Apache Airflow to support data-intensive applications.
- 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 descriptive, predictive, and generative ML models, including Large Language Models (LLMs), 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.
- Strong experience with ETL frameworks for building and managing data pipelines, with a preference for Apache Airflow.
- Knowledge of cloud technologies such as AWS SageMaker and MLOps practices.
- Experience with Large Language Models (LLMs), including fine-tuning, prompt engineering, and deployment.
- Knowledge of basic data structures and algorithms and OOP.
- Experience with Big Data Analytics and tools (e.g., Snowflake, BigQuery, Elasticsearch) 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 on a full remote model. We have a physical office 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!
