Machine Learning DevOps Engineer (Python, SQL)

DHL; Cyberjaya; Hybrid; MYR 60,000 - 90,000; Full time

Job summary

DHL is seeking a talented Machine Learning DevOps Engineer to design and deploy machine learning models that enhance logistics processes. The ideal candidate will have experience in developing algorithms and collaborating across teams in a dynamic, hybrid work environment. This role offers opportunities for growth within a global leader in logistics technology.

Benefits

Hybrid work arrangements

Unlimited outpatient medical coverage

Personalized flexi benefit plan

Flexible public holiday options

Modern offices with free parking

Qualifications

• Experience as a Machine Learning Engineer or similar role.
• Proficient in Python, R, or Java with machine learning libraries.
• Good understanding of data manipulation tools.

Responsibilities

• Design and implement machine learning models and algorithms.
• Analyze large datasets for trends and anomalies.
• Collaborate with cross-functional teams for integration.

Skills

Python

R

Java

Machine Learning

Data Analysis

Data Manipulation

SQL

AWS

Azure

Google Cloud

Docker

Kubernetes

Job description

Start your IT career with us!

Machine Learning DevOps Engineer

With a global team of 6000+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions. We work beyond global borders and push boundaries across all dimensions of logistics. You can leave your mark shaping the technology backbone of the biggest logistics company in the world. Our offices in Cyberjaya, Prague, and Chennai have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences.

Digitalization. Simply delivered.

At IT Services, we are passionate about technology. Our team is continuously expanding. No matter your level of proficiency, you can always grow within our diverse environment.

#DHL #DHLITServices #GreatPlace

Grow together

We are seeking a talented and motivated Machine Learning Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex business problems. You will collaborate with cross-functional teams to integrate machine learning solutions into our logistics and supply chain processes.

Key Responsibilities:

• Design and implement machine learning models and algorithms for various applications, including predictive analytics, optimization, and automation.
• Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and deliver actionable insights.
• Preprocess and analyze large datasets to identify trends, patterns, and anomalies.
• Optimize machine learning models for performance and scalability.
• Conduct experiments and A/B testing to evaluate model effectiveness and iterate on solutions.
• Stay updated with the latest advancements in machine learning and artificial intelligence technologies.
• Document processes, methodologies, and results to ensure knowledge transfer and reproducibility.
• Contribute to the development of best practices for machine learning and data handling within the organization.

Ready to embark on the journey? Here’s what we are looking for:

As a DevOps Engineer, having proven experience as a Machine Learning Engineer or similar role is a huge plus. Very good knowledge of programming in Python, R, or Java, and familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) will also be an integral part of this role.

You are a technology aficionado, therefore you have a good understanding of experience with data manipulation and analysis tools (e.g., SQL, Pandas, NumPy), knowledge of algorithms, data structures, and software engineering principles. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

You are able to work independently, prioritize, and organize your tasks under time and workload pressure. Working in a multinational environment, you can expect cross-region collaboration with teams around the globe, thus being proficient in spoken and written English will be certainly useful.

Benefits for you:

• Hybrid work arrangements to balance in-office collaboration and home flexibility.
• Outpatient (unlimited) and inpatient medical coverage for employees.
• Personalized flexi benefit plan for you and your family.
• Choose any day off from earned public holidays, including Saturdays and ad-hoc holidays to spend with your loved ones.
• Modern offices with free parking space.

DHL is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.