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

Position:

• Machine Learning Scientist

Company:

• DP World

Location:

• Bengaluru, Karnataka, India

Job Type:

• Full-Time

Job Mode:

• On-site

Job Requisition ID:

• Not specified

Years of Experience:

• Not explicitly mentioned (fresh graduates within the last 12 months or upcoming graduates are eligible)

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Company Description:

• DP World is a global leader in logistics, supply chain, and trade facilitation, with a strong presence across the globe.

• The company’s mission revolves around making global trade more efficient, sustainable, and customer-focused by leveraging innovation and advanced technologies.

• Operating in over 60 countries with a workforce of more than 10,000 employees, DP World connects markets and delivers integrated trade solutions.

• DP World strives to drive economic growth and improve lives by enhancing the efficiency of trade flows.

• The organization has a robust commitment to sustainability, aiming to minimize its environmental impact and invest in local communities.

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Profile Overview:

• As a Machine Learning Scientist at DP World, you will be a key contributor to developing and deploying machine learning models to drive business insights and optimize operations.

• The role involves close collaboration with cross-functional teams such as data scientists, software engineers, and product managers to identify and solve complex ML problems.

• You will be responsible for designing algorithms, preprocessing large datasets, training models, and ensuring scalability and performance.

• The ideal candidate will have a strong foundation in machine learning concepts, proficiency in Python, and experience with ML frameworks like TensorFlow and PyTorch.

• You will play a vital role in ensuring the reliability and robustness of models in production environments using cloud platforms and MLOps best practices.

• This position offers opportunities to showcase your ML expertise, work on cutting-edge projects, and contribute to the company’s data-driven decision-making.

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Key Accountabilities:

Collaboration:

• Work closely with cross-functional teams to define machine learning problems and set clear objectives.

• Partner with stakeholders to understand business challenges and translate them into ML solutions.

Model Development:

• Research, design, and implement various machine learning algorithms, including supervised, unsupervised, deep learning, and reinforcement learning techniques.

• Analyze and preprocess large-scale datasets for training and evaluation purposes.

Model Training and Optimization:

• Train and test machine learning models while ensuring accuracy, scalability, and performance.

• Optimize models to meet business and technical requirements.

Deployment:

• Deploy machine learning models into production environments using cloud platforms such as AWS, Azure, or GCP.

• Apply MLOps best practices to ensure smooth deployment and maintenance.

Monitoring:

• Continuously monitor and evaluate the performance of deployed models to maintain reliability and robustness.

• Identify areas for improvement and implement necessary adjustments to enhance model performance.

Documentation:

• Document methodologies, results, and findings to provide insights to stakeholders.

• Maintain clear and comprehensive documentation for reproducibility and knowledge sharing.

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Qualifications:

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

• Strong proficiency in Python or a similar programming language.

• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

• Solid understanding of linear algebra, probability, statistics, and optimization techniques.

• Familiarity with key machine learning algorithms, including decision trees, SVMs, and neural networks.

• Knowledge of concepts such as feature engineering, overfitting, and regularization.

• Hands-on experience with structured and unstructured data using tools like Pandas, SQL, or Spark.

• Strong critical thinking skills and the ability to apply theoretical knowledge to solve complex ML problems.

• Excellent communication and collaboration skills for effective teamwork.

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Additional Skills (Good to Have):

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.

• Knowledge of MLOps tools like MLflow and Kubeflow.

• Familiarity with distributed computing or big data technologies, such as Hadoop and Apache Spark.

• Previous experience through internships, academic research, or projects demonstrating ML expertise.

• Proficiency in deployment frameworks like Docker and Kubernetes.

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Additional Info:

• The role offers exposure to cutting-edge technologies and innovative projects that align with global trade and logistics.

• DP World fosters a collaborative and inclusive work environment, encouraging employees to bring fresh perspectives and ideas.

• You will have opportunities to learn and grow within a dynamic team of industry experts.

• The company values continuous learning and professional development, providing access to training programs and resources.

• As a Machine Learning Scientist, you will directly contribute to optimizing global trade processes and enhancing supply chain efficiency.

Please click here to apply.

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