Ai Ml Engineer
Cerebra IT Services Private LimitedThis job is no longer accepting applications
Job Description
Roles & Responsibilities:
- Design, develop, and deploy machine learning models using TensorFlow, PyTorch, and scikit-learn.
- Implement model serving and APIs using Python and FastAPI.
- Build, manage, and utilize ML pipelines on GCP, including Vertex AI, BigQuery ML, and Feature Store.
- Monitor ML model performance, detect drift, and implement retraining workflows.
- Work on AI/ML projects involving GenAI tools and frameworks.
- Ensure best practices in ML model development, deployment, and monitoring.
- Maintain documentation and reproducibility of ML experiments and models.
Preferred Candidate Profile:
- Strong hands-on experience with Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Proficient with GCP ML services like Vertex AI, BigQuery ML, and Feature Store.
- Experience in building ML APIs using FastAPI.
- Knowledge of model monitoring, performance tracking, and retraining workflows.
- Exposure to GenAI models and frameworks.
- GCP ML Engineer certification or GenAI coursework is a plus.
More Info
Key Skills
About Company
Cerebra Consulting Inc is a System Integrator and IT Services Solution provider with a focus on Big Data, Business Analytics, Cloud Solutions, Amazon Web Services, Salesforce, Oracle EBS, Peoplesoft, Hyperion, Oracle Configurator, Oracle CPQ, Oracle PLM and Custom Application Development. Utilizing solid business experience, industry-specific expertise, and proven methodologies, we consistently deliver measurable results for our customers. Cerebra has partnered with leading enterprise software companies and cloud providers such as Oracle, Salesforce, Amazon and able to leverage these partner relationships to deliver high-quality, end-to-end customer solutions that are targeted to the needs of each customer.
