DP World is hiring for a fresher entry level Machine Learning Scientist role in India (college Students can also apply)

Position:

• Machine Learning Scientist

Company:

• DP World

Location:

• Bangalore, Karnataka, India

Job type:

• Full-time

Job mode:

• Onsite

Job requisition id:

• 15097

Years of experience:

• 0-1 Year (students who recently started 4th year can also apply)

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Company description:

• DP World is one of the most respected global logistics and supply chain companies operating across diverse geographies and helping businesses navigate complex trade routes with ease.

• The company believes in creating solutions that transform international trade, making logistics seamless for its customers, and delivering value through innovation and technology.

• With a strong commitment to sustainability and diversity, DP World integrates smart trade into every part of its operations.

• They have a proven record of using technology to optimize processes in ports, terminals, and end-to-end supply chains across industries worldwide.

• DP World fosters an open culture where people collaborate to do the best work of their careers and grow in an environment that emphasizes integrity, teamwork, and continuous improvement.

• DP World places its customers at the center of its service offerings, encouraging employees to explore new ideas and leverage data-driven insights.

• By investing in future-focused areas such as AI, machine learning, automation, and predictive analytics, they are redefining the logistics and trade sector.

• They support skill growth and innovation for their team members through ongoing training and hands-on projects.

• DP World values diversity and inclusiveness, welcoming people of different backgrounds, abilities, and beliefs to join its global community.

• Whether it is supporting sustainable logistics solutions, developing AI-driven tools for better decisions, or engineering supply chains that make trade faster, DP World is committed to making a tangible impact on world commerce.

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Profile overview:

• The Machine Learning Scientist at DP World will be responsible for solving highly challenging AI and data science problems that drive decision-making and automation across logistics operations.

• You will work with highly talented professionals across different functions including data engineering, software engineering, and product management to design, test, and deploy advanced models.

• Your day-to-day will involve gathering requirements, analyzing data sets at scale, and applying appropriate algorithms to uncover patterns that improve processes.

• From research to deployment, you will own the full life cycle of machine learning, including pre-processing data, tuning models for better accuracy, testing different approaches to optimize scalability, and monitoring the models’ performance once they’re live.

• You will also collaborate with colleagues to evaluate model output, explain findings in a way that stakeholders can appreciate, and produce robust solutions to real-world problems.

• This position is perfect for someone who is early in their career and passionate about applying machine learning and data science techniques to help global logistics and supply chains.

• DP World looks for a team player with an eagerness to continuously grow their skill set and contribute new ideas.

• With strong mentoring support and collaborative opportunities, you will receive hands-on exposure to the most cutting-edge data technologies.

• The role emphasizes a balance between practical data science work and research-oriented innovation that advances DP World’s mission.

• You will help ensure that DP World stays at the forefront of automation and predictive analytics by improving existing processes and paving the way for new intelligent products.

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Qualifications:

• Bachelor’s or Master’s degree in computer science, data science, statistics, mathematics, or a related quantitative field earned recently.

• Proven skill working with programming languages like Python or similar; experience with popular machine learning libraries such as TensorFlow, Scikit-learn, and PyTorch is expected.

• Solid understanding of foundational math and statistics concepts including linear algebra, probability distributions, and optimization techniques that are commonly applied in data science.

• Awareness of core ML techniques including supervised and unsupervised learning algorithms, deep learning, regression, decision trees, SVMs, and other predictive modeling techniques.

• Exposure to data wrangling using tools like Pandas, SQL, or Apache Spark is vital; candidates need to be comfortable handling structured as well as semi-structured or unstructured datasets.

• Proven aptitude for applying a disciplined, structured approach to problem-solving; candidates will need to plan analyses and implement effective data pipelines.

• Strong analytical mindset with the capability to explore data creatively, understand what drives trends, and make practical conclusions.

• Effective communication skills, both written and verbal, are key so that complex concepts can be translated into actionable business recommendations.

• Applicants who show teamwork capabilities will fit into DP World’s collaborative style of working across global teams.

• Ability to manage one’s own work under minimal supervision while also asking for guidance as required will make you successful in this role.

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Additional info:

• Familiarity with distributed computing frameworks like Apache Spark or Hadoop will help you scale computations when tackling larger datasets.

• Hands-on experience with cloud computing platforms such as AWS, Microsoft Azure, or Google Cloud Platform and MLOps tools including MLflow, Kubeflow, or similar will give you an advantage.

• Exposure to containerization and deployment technologies such as Docker and Kubernetes is also a strong plus as DP World’s engineering teams leverage these tools for seamless model deployment.

• Previous academic research experience, or real-world projects like internships, student team projects, or contributions to open-source data science initiatives will help demonstrate your capacity for independent learning.

• Enthusiasm to innovate in diverse areas such as predictive maintenance for logistics hardware, anomaly detection across transaction datasets, and real-time optimization of shipping routes is highly encouraged.

• DP World’s culture appreciates professionals who want to make a big impact; they invest in people who seek long-term career growth and who want to continuously broaden their skillset.

• The role requires you to balance practical deadlines and ongoing research so that DP World can consistently produce new features and products powered by AI.

• DP World is committed to equal opportunity; every qualified applicant will be considered regardless of background or personal circumstances.

• Joining DP World will give you direct exposure to international trade ecosystems as you work to make logistics faster, safer, and more efficient.

• By becoming part of this team, you will also gain access to a strong support network of experienced data scientists, analysts, and engineers to grow your career at the pace you choose.

• If you are someone who is ready to jump into challenging datasets, experiment with new ideas, and produce tangible results that help optimize global supply chains, DP World welcomes your application.

• Applying for this role is a chance to put your academic training into action and experience what it is like to work at a company that is shaping the future of international trade.

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Please click here to apply.