DP World is hiring for an fresher entry level Machine Learning Scientist role in India

Position:

• Machine Learning Scientist

Company:

• DP World

Location:

• Embassy Golf Links Business Park, Bangalore, Karnataka, India

Job type:

• Full-time

Job mode:

• Onsite

Job requisition id:

• 15097

Years of experience:

• 0-3 years

---

Company Description

• DP World is a leading global logistics and trade enabler headquartered in Dubai.

• The company operates a diverse network of logistics and terminal operations across more than 60 countries.

• Their goal is to drive trade and create smarter logistics solutions to support the global economy.

• With a focus on innovation and digital transformation, DP World integrates cutting-edge technologies in every layer of the supply chain.

• The firm is actively investing in machine learning and data science to build next-generation digital infrastructure.

• DP World’s work culture promotes inclusivity, skill development, and continuous innovation.

• The company prides itself on being a pioneer in transforming traditional logistics using modern technologies like AI and ML.

• DP World believes in nurturing young talent and is committed to creating a learning-focused, collaborative, and empowering environment.

• Their India operations, especially in Bangalore, are focused on building scalable digital platforms that optimize supply chain operations.

• The organization welcomes applications from diverse backgrounds and supports equal employment opportunities.

---

Profile Overview

• As a Machine Learning Scientist at DP World, you’ll work with multi-functional teams including data scientists, product managers, and software engineers.

• The core responsibility involves designing machine learning models to solve business challenges related to logistics and supply chains.

• You'll focus on analyzing large-scale datasets to uncover insights, automate processes, and build intelligent systems.

• The role demands researching advanced machine learning algorithms such as deep learning and reinforcement learning.

• Your work will span across developing models, training them, deploying them, and monitoring their performance in real-world environments.

• You’ll participate in defining ML objectives, collecting feedback from internal stakeholders, and iterating on model improvements.

• You’ll be part of a collaborative team that values transparency, sharing knowledge, and pushing the boundaries of applied ML.

• This role is well-suited for recent graduates or early-career professionals eager to grow in a production-grade ML environment.

• The job offers exposure to the complete lifecycle of machine learning development from conception to deployment.

• If you are passionate about solving real-world problems using ML in a high-impact domain like global logistics, this position is for you.

---

Qualifications

• A Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related discipline.

• Must have completed graduation within the last 12 months or be graduating soon.

• Solid understanding of programming with a strong grasp of Python; familiarity with libraries like TensorFlow, PyTorch, or Scikit-learn is expected.

• Sound knowledge of core mathematical concepts such as linear algebra, probability, and statistical inference.

• Familiarity with a range of machine learning algorithms, including supervised (like decision trees, linear regression) and unsupervised methods (like clustering, PCA).

• Hands-on experience with data wrangling tools like Pandas and database querying using SQL.

• Understanding of key machine learning concepts such as model overfitting, underfitting, regularization, and feature engineering.

• Capable of working with unstructured data such as text, images, or sensor data.

• Demonstrates critical thinking, problem-solving abilities, and a proactive mindset.

• Strong communication and collaboration skills, essential for working with cross-functional teams and conveying technical findings.

---

Additional Info

• Exposure to cloud computing platforms like GCP, AWS, or Azure is beneficial.

• Experience using MLOps tools like MLflow or Kubeflow for model deployment and lifecycle management is a plus.

• Familiarity with big data frameworks such as Apache Spark or Hadoop is advantageous for scaling ML models.

• Prior internships, coursework, or research projects that demonstrate hands-on application of machine learning concepts will be valued.

• Knowledge of containerization and deployment practices using Docker and Kubernetes is a plus.

• The organization practices strict adherence to Equal Employment Opportunity (EEO) guidelines.

• DP World supports workplace diversity and inclusion, making it a suitable place for fresh graduates from all walks of life.

• You will be part of a culture that values transparency, experimentation, and measurable impact.

• The role is full-time and based out of the Bangalore office.

• Selected candidates will be part of a high-growth, dynamic team that directly influences the digital transformation of global logistics.

Please click here to apply.

✖

Before you go further ...

or

Direct apply link!