AI/ML Engineer with GCP Cloud
virtusa
Job Description
Responsibilities:
- Design and implement AI/ML models using GCP services.
- Collaborate with cross-functional teams to identify and prioritize AI/ML opportunities.
- Develop and maintain scalable data pipelines for model training and evaluation.
- Conduct experiments to optimize model performance and accuracy.
- Stay updated with the latest advancements in Generative AI and cloud technologies.
- Provide technical guidance and mentorship to junior team members.
Mandatory Skills:
- Strong knowledge of Generative AI techniques and frameworks.
- Proficiency in Google Cloud Platform (GCP) services related to AI/ML.
- Extensive experience with machine learning algorithms and data processing.
- Hands-on experience with programming languages such as Python or Java.
- Ability to work in a fast-paced, collaborative environment.
Preferred Skills:
- Experience with TensorFlow, PyTorch, or similar ML frameworks.
- Familiarity with data visualization tools and techniques.
- Knowledge of DevOps practices for AI/ML deployment.
- Experience in working with large datasets and cloud-based data storage solutions.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- 10-15 years of relevant experience in AI/ML engineering.
- Proven track record of successful AI/ML project delivery.