Your IT Future, Delivered.
Senior Software Engineer (AI/ML Engineer)
With a global team of 5600+ IT professionals, DHL IT Servicesconnects peopleand keeps the global economy runningby continuously innovating and creating sustainable digital solutions. We workbeyond global bordersand push boundaries acrossall dimensions of logistics. You canleave your markshaping thetechnology backboneof the biggest logistics company of the world. All our offices have earned#GreatPlaceToWorkcertification, reflecting our commitment to exceptional employee experiences.
Digitalization. Simply delivered.
At DHL IT Services, we are designing, building and running IT solutions for the whole DPDHL globally.
Grow together.
TheAI & Analyticsteam builds and runs solutions to get much more value out of our data. We help our business colleagues all over the world with machine learning algorithms, predictive models and visualizations. We manage more than 46 AI & Big Data Applications, 3.000 active users, 87 countries and up to 100,000,000 daily transaction.
Integration of AI & Big Data into business processes to compete in a data driven world needs state of the art technology. Our infrastructure, hosted on-prem and in the cloud (Azure and GCP), includes MapR, Airflow, Spark, Kafka, jupyter, Kubeflow, Jenkins, GitHub, Tableau, Power BI, Synapse (Analytics), Databricks and further interesting tools.
We like to do everything in an Agile/DevOps way. No more throwing the problem code to support, no silos. Our teams are completely product oriented, having end to end responsibility for the success of our product.
Ready to embark on the journey Here's what we are looking for:
Currently, we are looking forAI / Machine Learning Engineer. In this role, you will have the opportunity to design and develop solutions, contribute to roadmaps of Big Data architectures and provide mentorship and feedback to more junior team members. We are looking for someone to help us manage the petabytes of data we have and turn them into value.
Does that sound a bit like you Let's talk! Even if you don't tick all the boxes below, we'd love to hear from you our new department is rapidly growing and we're looking for many people with the can-do mindset to join us on our digitalization journey. Thank you for considering DHL as the next step in your career - we do believe we can make a difference together!
What will you need
- University Degree in Computer Science, Information Systems, Business Administration, or related field.
- 2+ years of experience in the Data Scienctist / Machine Learning Engineer role
- Strong analytic skills related to working with structured, semi structured and unstructured datasets.
- Advanced Machine learningtechniques: Decision Trees, Random Forest, Boo sting Algorithm, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction / engineering, Anomaly deduction, Natural Language Processing (incl. sentiment analysis, Topic Modeling), Natural Language Generation.
- Statistics / Mathematics: Data Quality Analysis, Data identification, Hypothesis testing, Univariate / Multivariate Analysis, Cluster Analysis, Classification/PCA, Factor Analysis, Linear Modeling, Time Series, distribution / probability theory and/or Strong experience in specialized analytics tools and technologies (including, but not limited to)
- Lead the integration of large language models into AI applications.
- Very good in Python Programming.
- Power BI, Tableau
- Develop the application and deploy the model in production.
- Kubeflow, ML Flow, Airflow, Jenkins, CI/CD Pipeline.
- As an AI/ML Engineer, you will be responsible for developing applications and systems that leverage AI tools, Cloud AI services, and Generative AI models. Your role includes designing cloud-based or on-premises application pipelines that meet production-ready standards, utilizing deep learning, neural networks, chatbots, and image processing technologies.
Professional & Technical Skills:
- Essential Skills:
- Expertise in Large Language Models.
- Strong knowledge of statistical analysis and machine learning algorithms.
- Experience with data visualization tools such as Tableau or Power BI.
- Practical experience with various machine learning algorithms, including linear regression, logistic regression, decision trees, and clustering techniques.
- Proficient in data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.
- Awareness of Apache Spark, Hadoop
- Awareness of Agile / Scrum ways of working.
- Identify the right modeling approach(es) for given scenario and articulate why the approach fits.
- Assess data availability and modeling feasibility.
- Review interpretation of models results.
- Experience inLogistic industry domain would be added advantage.
Roles & Responsibilities:
- Act as a Subject Matter Expert (SME).
- Collaborate with and manage team performance.
- Make decisions that impact the team.
- Work with various teams and contribute to significant decision-making processes.
- Provide solutions to challenges that affect multiple teams.
- Lead the integration oflarge language modelsinto AI applications.
- Research and implement advanced AI techniques to improve system performance.
- Assist in the development and deployment of AI solutions across different domains.
You should have:
- Certifications in some of the core technologies.
- Ability to collaborate across different teams/geographies/stakeholders/levels of seniority.
- Customer focus with an eye on continuous improvement.
- Energetic, enthusiastic and results-oriented personality.
- Ability to coach other team members, you must be a team player!
- Strong will to overcome the complexities involved in developing and supporting data pipelines.
Language requirements:
- English - Fluent spoken and written (C1 level)
An array of benefits for you:
- Hybrid work arrangements to balance in-office collaboration and home flexibility.
- Annual Leave: 42 days off apart from Public / National Holidays.
- Medical Insurance: Self + Spouse + 2 children. An option to opt for Voluntary Parental Insurance (Parents / Parent -in-laws) at a nominal premium covering pre existing disease.
- In House training programs: professional and technical training certifications.
