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AI Engineer
2 weeks ago
As a skilled AI engineer, you will be responsible for designing and developing artificial intelligence solutions that drive business growth and improve customer experiences.
Key responsibilities include building and managing scalable data pipelines, designing and implementing machine learning models, and collaborating with cross-functional teams to automate end-to-end machine learning lifecycle processes.
Requirements:- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 3+ years of experience in data engineering, DevOps, or MLOps roles.
- Strong programming skills in Python, with experience in libraries such as Pandas, MLflow, Airflow, and PyTorch/TensorFlow.
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and services such as S3, Lambda, SageMaker, Vertex AI, or Databricks.
- Familiarity with CI/CD tools (e.g., GitHub Actions, Jenkins, ArgoCD) and containerization (Docker, Kubernetes).
- Experience with model versioning, A/B testing, and continuous training in production.
- Familiarity with modern data stack tools (e.g., dbt, Kafka, Snowflake, Redshift).
- Knowledge of security best practices in handling sensitive data and models.
- Certification in cloud technologies (e.g., AWS Certified Machine Learning, Google Cloud ML Engineer).
We offer a competitive salary and benefits package, including comprehensive health insurance, 401(k) matching, and paid time off.
Our team is committed to creating a positive and inclusive work environment that fosters innovation, creativity, and collaboration.
If you are passionate about AI and eager to join a dynamic team, we encourage you to apply.
How to Apply:To apply, please submit your resume and a cover letter explaining why you are the ideal candidate for this role.
We look forward to reviewing your application.