Machine Learning-R Data Scientist
ITC WORLDWIDE
- Lahore, Punjab
- Permanent
- Full-time
- Mastery in R and Python: Our team of expert solution developers is proficient in R and Python, ensuring the development of cutting-edge algorithms and applications.
- Innovative Machine Learning Models: We design and implement advanced machine learning models that drive intelligent decision-making and predictive analytics.
- Secure Blockchain Solutions: Our blockchain technology guarantees transparency, security, and trust in digital transactions, paving the way for decentralized applications.
- Creative Generative AI: We leverage generative AI to create unique and innovative solutions, from content generation to complex problem-solving.
- Efficient Microservices Development: Our microservices architecture ensures scalable, reliable, and efficient software solutions, enabling seamless integration and deployment.
- Ph.D. or Master's Degree: We seek individuals with advanced degrees in Computer Science, Engineering, Data Science, or related fields to join our team and contribute to our innovative projects.
- OpenStack and Microsoft Stack: Proficiency in OpenStack and Microsoft Stack is essential for developing robust and scalable solutions across various platforms.
- Languages: Proficiency in Python, R, or Java.
- Machine Learning Libraries and Frameworks: Experience with TensorFlow, PyTorch, and scikit-learn.
- Machine Learning Algorithms: Solid understanding of supervised and unsupervised learning, deep learning, and reinforcement learning.
- Data Preprocessing and Feature Engineering: Experience with data preprocessing, feature engineering, and data visualization techniques.
- Large-Scale Datasets: Proficiency in working with SQL and NoSQL databases, and big data processing frameworks like Hadoop and Spark.
- Software Engineering Best Practices: Familiarity with version control, testing, and code review.
- Mathematical and Statistical Skills: Strong ability to apply statistical methods and evaluate model performance.
- Problem-Solving and Analytical Thinking: Excellent skills to understand complex business problems and develop innovative solutions.
- Effective Communication: Ability to collaborate with cross-functional teams and present findings to both technical and non-technical stakeholders.
- Cloud Platforms: Experience with AWS, Azure, Google Cloud, and knowledge of deploying and managing machine learning models in cloud environments is a plus.
- Data Engineering
- Data Science
- Machine Learning
- Artificial Intelligence (AI)
- Computer Science
- Computer Vision
- Keras
- Natural Language Processing (NLP)
- Pattern Recognition
- Scikit