Machine Learning Scientist

5 days ago

Bengaluru Karnataka, India DP World Full time

**KEY 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**
- Bachelor’s or Master’s 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.**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-MP1

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