At Aristocrat, We are on a mission to find the best talent potential individuals in thirst for innovation & Knowledge evolution.
Career in Aristocrat Involves remote modality and several cutting edge stipend linked corporate certification in house programs.
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The Machine Learning Engineer will be responsible for developing and implementing machine learning models and systems to solve complex problems in various fields. The engineer will work with a team of data scientists, software engineers, and stakeholders to identify opportunities for machine learning applications, and will collaborate to design, develop, and deploy machine learning solutions. The position may involve working on multiple projects simultaneously, and may require some level of creativity and innovation in machine learning development.
Responsibilities:
- Collaborate with stakeholders to identify opportunities for machine learning applications and develop solutions to solve complex problems.
- Design, develop, and implement machine learning models and systems, including data preprocessing, feature extraction, model training, and evaluation.
- Optimize and fine-tune machine learning models and systems to improve performance and efficiency.
- Work with a team of data scientists, software engineers, and stakeholders to integrate machine learning solutions into software systems and ensure successful deployment.
- Analyze and interpret data to evaluate machine learning performance and identify areas for improvement.
- Stay current on trends and advancements in machine learning and related technologies.
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Requirements
- Bachelors degree or higher in Computer Science, Mathematics, or a related field.
- Strong programming skills in languages such as Python, Java, or C++.
- Experience in machine learning development, with a focus on deep learning, natural language processing, or computer vision.
- Familiarity with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Knowledge of statistics, linear algebra, and probability theory.
- Experience with data preprocessing, feature extraction, model training, and evaluation.
- Familiarity with software development tools and methodologies.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork skills.
Benefits
Extreme Learning and training environment.
Continuous growth every 3 months financially & in Responsibilities.
Compensation based on contribution value.
Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, TensorFlow, PyTorch, Scikit-learn, Statistics, Linear Algebra, Probability Theory, Data Preprocessing, Feature Extraction, Model Training, Model Evaluation, Software Development, Communication, Teamwork.