Salary Range
₹17K - ₹17K/month
Experience
0-0 years
Batch Years
2024, 2025, 2026
Job Type
Internship
Employment Type
Full Time

Key Responsibilities

  • Collaborate with cross-functional teams such as data scientists, software engineers, and product managers to define machine learning problems and objectives
  • Research, design, and implement machine learning algorithms and models, including supervised, unsupervised, deep learning, and reinforcement learning techniques
  • Analyze and preprocess large-scale datasets for training and evaluation
  • Train, test, and optimize ML models to ensure accuracy, scalability, and performance
  • Deploy ML models in production environments using cloud platforms and MLOps best practices
  • Monitor and evaluate model performance over time to maintain reliability and robustness
  • Document methodologies, results, and findings to share insights with relevant stakeholders

Required Skills and Qualifications

  • Proficiency in Python or similar programming languages
  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Strong foundational knowledge in linear algebra, probability, statistics, and optimization
  • Familiarity with machine learning algorithms such as decision trees, support vector machines, and neural networks
  • Understanding of key ML concepts such as feature engineering, overfitting, and regularization
  • Experience working with structured and unstructured data using tools like Pandas, SQL, or Spark
  • Critical thinking ability and problem-solving mindset to tackle real-world ML challenges
  • Strong interpersonal and communication skills for effective collaboration in diverse teams

Preferred Skills (Good to Have)

  • Experience with cloud platforms including AWS, Azure, or Google Cloud Platform
  • Familiarity with MLOps tools like MLflow or Kubeflow
  • Understanding of distributed computing and big data technologies such as Hadoop and Apache Spark
  • Exposure to Docker and Kubernetes for deployment workflows
  • Prior internships, research work, or project portfolios demonstrating ML proficiency

Technical Skills

Python, TensorFlow, PyTorch, Scikit-learn, Pandas, SQL, Spark, MLflow, Kubeflow, AWS, Azure, GCP, Hadoop, Docker, Kubernetes

Equal Opportunity Employer

DP World is an Equal Employment Opportunity (EEO) employer. We believe in building a diverse workforce and make hiring decisions based on skills and experience without regard to age, gender, disability, race, religion, or belief.

Education Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related fields

Eligible Batch Years

2024, 2025, 2026
DP World

DP World

DP World is a leading Emirati multinational logistics company headquartered in Dubai, UAE. Established in 2005 through the merger of Dubai Ports Authority and Dubai Ports International, DP World has become a pivotal player in global trade. As of 2024, the company reported a record revenue of $20 billion, marking a 9.7% increase from the previous year . While the exact market capitalization isn't publicly disclosed due to its private ownership, DP World operates over 70 marine and inland terminals across more than 40 countries, handling approximately 10% of the world's container traffic . The company employs over 101,000 individuals worldwide, reflecting its expansive operations and commitment to workforce development .

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