Artificial Intelligence Engineer
Salary undisclosed
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Job Description:
- Develop and implement Al models and machine learning algorithms.
- Build and optimize deep learning models for various applications.
- Work with large datasets and ensure data preprocessing and augmentation.
- Deploy Al solutions into production environments (cloud, edge devices, etc.).
- Conduct research in Al, deep learning, NLP, or computer vision.
- Work on innovative Al projects and develop novel Al models.
- Understand and recommend solutions (predictive and prescriptive analytics) on Data gathering and Computation.
- Passionate on new age Artificial Intelligence in conducting research involving experimentation and modelling.
- Manage Al model lifecycle from research to deployment.
- Ensure ethical Al practices and compliance with regulations.
- Ensure the technical documentation and learning material is updated.
Expertise Required:
- Proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
- Strong understanding of machine learning, deep learning, and NLP.
- Experience with cloud platforms like AWS, GCP, or Azure.
- Knowledge of data engineering and MLOps for Al deployment.
- Ability to explain complex Al concepts and results to non-technical stakeholders or end users.
- Ability to work effectively in a team, collaborate with other researchers, and contribute to group discussions and brainstorming sessions.
- Experience in Al model optimization and inference acceleration.
- Experience in feature engineering and model evaluation techniques.
- Experience with Al model explainability and ethical Al considerations.
- Familiarity with cloud-based data solutions.
- Experience with Al-driven product development.
- Understanding of Al ethics, data privacy, and regulations.
- Preferable with minimum 2 years working experience with Al related projects
Job Description:
- Develop and implement Al models and machine learning algorithms.
- Build and optimize deep learning models for various applications.
- Work with large datasets and ensure data preprocessing and augmentation.
- Deploy Al solutions into production environments (cloud, edge devices, etc.).
- Conduct research in Al, deep learning, NLP, or computer vision.
- Work on innovative Al projects and develop novel Al models.
- Understand and recommend solutions (predictive and prescriptive analytics) on Data gathering and Computation.
- Passionate on new age Artificial Intelligence in conducting research involving experimentation and modelling.
- Manage Al model lifecycle from research to deployment.
- Ensure ethical Al practices and compliance with regulations.
- Ensure the technical documentation and learning material is updated.
Expertise Required:
- Proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
- Strong understanding of machine learning, deep learning, and NLP.
- Experience with cloud platforms like AWS, GCP, or Azure.
- Knowledge of data engineering and MLOps for Al deployment.
- Ability to explain complex Al concepts and results to non-technical stakeholders or end users.
- Ability to work effectively in a team, collaborate with other researchers, and contribute to group discussions and brainstorming sessions.
- Experience in Al model optimization and inference acceleration.
- Experience in feature engineering and model evaluation techniques.
- Experience with Al model explainability and ethical Al considerations.
- Familiarity with cloud-based data solutions.
- Experience with Al-driven product development.
- Understanding of Al ethics, data privacy, and regulations.
- Preferable with minimum 2 years working experience with Al related projects