AI Engineer

DXC Technology

Taguig City, Metro Manila
Permanent
Full-time

15 days ago

Job Description:Key Responsibilities

AI Model Development:

Develop, train, and validate machine learning models.
Experiment with different algorithms and architectures to solve complex problems.
Fine-tune models for optimal performance.
Apply techniques such as regularization, cross-validation, and hyperparameter tuning.
Data Preparation and Pre-processing:

Collect, clean, and preprocess raw data.
Conduct exploratory data analysis.
Transform data into a format suitable for training AI models.
Model Deployment:

Deploy trained models into production environments.
Integrate models into existing systems.
Implement APIs for model inference.
Monitor and maintain deployed models.
Performance Monitoring and Optimization:

Monitor the performance of deployed models.
Identify and fix issues related to model performance.
Optimize models for speed, accuracy, and resource utilization.
Implement A/B testing to evaluate model changes.
Collaboration:

Work closely with cross-functional teams, including software engineers, data scientists, and domain experts.
Communicate effectively with non-technical stakeholders.
Participate in code reviews and design discussions.

Qualifications and Skills:

Bachelor’s/Master’s/Ph.D. in Computer Science, Engineering, Mathematics, or related field.
Proven experience in developing and deploying machine learning models.
Proficiency in programming languages such as Python, and frameworks such as TensorFlow, PyTorch, or scikit-learn.
Strong understanding of data structures, algorithms, and statistical techniques.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.

Preferred Qualifications:

Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
Experience with data engineering, creating data pipelines etc.
Familiarity with software development best practices, including version control, testing, and continuous integration/continuous deployment (CI/CD).

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