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AI / ML Engineer
Vue: 103
Jour de mise à jour: 28-05-2024
Localisation: Visakhapatnam / Vizag Andhra Pradesh
Catégorie: Haute technologie IT - Logiciel
Industrie: Staffing Recruiting
Niveau: Mid-Senior level
Type d’emploi: Full-time
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le contenu du travail
Classification: All - Finance / Accounts / Investment BankingSkills Required: Java,Python,Machine Learning,Deep Learning,PyTorch Software Library, Scikit-learn,TensorFlow Software LibraryJob DescriptionAI Engineers would be responsible for researching, developing and deploying artificial intelligence solutions. They should also have curiosity, attention to detail, creativity, and a passion for AI. They should be adaptable, customer-focused, ethical, and persistent in their work, to fit the requirement for an AI/ML Engineer Trainee. Some of the responsibilities for the role would be:Experience: 4 - 8 YearsLocation: RemoteNotice period: Immediate-30 days maxInterview process: 4 rounds of interviews- Create and implement machine learning and deep learning models that can be used for data analysis, natural language processing, computer vision, and other tasks.
- Collect and process large amounts of data from various sources to train and test AI models.
- Analyze the performance of AI models to ensure they meet the required accuracy and reliability standards.
- Improve the performance of AI models by optimizing their parameters, hyper parameters, and architectures.
- Work closely with stakeholders such as data scientists, software engineers, project managers, and business analysts to ensure that AI solutions meet business needs
- Programming knowledge (Python - Mandatory, R, Java)
- Data wrangling with hands-on experience in Pandas, NumPy and SciPy libraries.
- Machine Learning - deep learning, transfer learning, reinforcement learning, structured/unstructured learning with hands-on experience of Tensorflow, PyTorch, or SciKit-Learn.
- Natural language processing, understanding, and/or generation.
- Excellent communication and team collaboration skills.
- An aptitude for research and analysis is essential
- Creativity
- Curiosity
- Attention to detail
- Adaptability
- Passion
- Ethical awareness
- Customer focus
- Persistence
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Date limite: 12-07-2024
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