AI Engineer
AI Engineer
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Job Description
Overview
Key Responsibilities
- Design and develop machine learning models for various applications.
- Collaborate with data scientists and other stakeholders to interpret and analyze data requirements.
- Implement deep learning algorithms and training approaches for complex datasets.
- Optimize model performance through rigorous testing and validation processes.
- Utilize tools such as TensorFlow Keras and PyTorch for model building.
- Deploy machine learning models into production environments.
- Monitor and maintain the performance of deployed models.
- Document and communicate model architectures and workflows.
- Develop APIs to integrate AI capabilities into software applications.
- Conduct data preprocessing and feature engineering activities.
- Stay current with advancements in AI and machine learning technologies.
- Mentor junior team members and assist in building technical expertise.
- Engage with clients to understand their AI needs and provide tailored solutions.
- Participate in code reviews and contribute to best practices in AI development.
- Perform exploratory data analysis to inform model design decisions.
Required Qualifications
- Bachelors or Masters degree in Computer Science Data Science or a related field.
- Proven experience as an AI Engineer or similar role in the industry.
- Strong programming skills in Python and familiarity with C or Java.
- Indepth knowledge of machine learning algorithms and frameworks.
- Experience with data manipulation and analysis tools such as Pandas and NumPy.
- Understanding of neural networks and their applications.
- Familiarity with cloud platforms like AWS Azure or Google Cloud.
- Strong problemsolving skills and the ability to work with large datasets.
- Experience in deploying AI models using containerization technologies.
- Excellent communication skills for conveying technical ideas to nontechnical stakeholders.
- Ability to work both independently and collaboratively in a team environment.
- Familiarity with continuous integration and deployment practices.
- Experience with version control systems like Git.
- Knowledge of Agile methodologies and project management tools.
- Certifications in AI/ML are a plus.
neural networks,numpy,aws,c++,python,keras,git,agile,pandas,machine learning,computer science,algorithms,software engineering practices,deep learning,containerization,azure,tensorflow,pytorch,java,data manipulation,google cloud
Employment Type
Full Time
Company Industry
Key Skills
- ASP.NET
- Health Education
- Fashion Designing
- Fiber
- Investigation
