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Machine Learning Scientist

0.00 to 1.00 Years   Bengaluru/ Bangalore (Karnataka)   22 May, 2025
DP WORLD
Job LocationBengaluru/ Bangalore (Karnataka)
EducationML/ LLM (Law)Any Graduate
SalaryAs per Industry Standards
IndustryMarine/Aviation/Military/Mining/Shipping
Functional AreaIT Software : Software Products & Services
EmploymentTypeFull-time

Job Description

JOB DESCRIPTIONKEY ACCOUNTABILITIES

  • Collaborate with cross-functional teams (e.g., data scientists, software engineers, product managers) to define ML problems and objectives.
  • Research, design, and implement machine learning algorithms and models (e.g., supervised, unsupervised, deep learning, reinforcement learning).
  • Analyse and preprocess large-scale datasets for training and evaluation.
  • Train, test, and optimize ML models for accuracy, scalability, and performance.
  • Deploy ML models in production using cloud platforms and/or MLOps best practices.
  • Monitor and evaluate model performance over time, ensuring reliability and robustness.
  • Document findings, methodologies, and results to share insights with stakeholders.
QUALIFICATIONS, EXPERIENCE AND SKILLS
  • Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (graduation within the last 12 months or upcoming).
  • Proficiency in Python or a similar language, with experience in frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Strong foundation in linear algebra, probability, statistics, and optimization techniques.
  • Familiarity with machine learning algorithms (e.g., decision trees, SVMs, neural networks) and concepts like feature engineering, overfitting, and regularization.
  • Hands-on experience working with structured and unstructured data using tools like Pandas, SQL, or Spark.
  • Ability to think critically and apply your knowledge to solve complex ML problems.
  • Strong communication and collaboration skills to work effectively in diverse teams.
Additional Skills (Good to have)
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools (e.g., MLflow, Kubeflow).
  • Knowledge of distributed computing or big data technologies (e.g., Hadoop, Apache Spark).
  • Previous internships, academic research, or projects showcasing your ML skills.
  • Familiarity with deployment frameworks like Docker and Kubernetes.
#LI-MP1Locations - Bangalore, Karnataka, India

Keyskills :
machine learning algorithms data preprocessing techniques python programming model optimization cloud deployment sql docker apache hadoop big data

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