Loisto AI, a trusted and innovative AI and machine learning consulting company, is seeking a skilled Data/ML Ops Engineer to join our team. As advocates of learning, performance, delivery, and client success, we provide an environment where you can excel. Join us in building cutting-edge data solutions and contributing to our client's achievements.

Responsibilities:

• Collaborate with cross-functional teams to develop scalable data and ML solutions.

• Design and implement data pipelines, ETL processes, and workflows on AWS, Azure, or GCP.

• Build and maintain infrastructure for model training, deployment, and monitoring.

• Optimize and fine-tune ML models for optimal performance.

• Monitor and troubleshoot data and ML infrastructure for reliability.

• Automate deployment processes and implement CI/CD pipelines.

• Ensure data and ML system security.

Requirements:

• Bachelor's or Master's degree in CS, Data Science, or related fields.

• Experience in data engineering or ML Ops roles.

• Proficiency in AWS, Azure, or GCP and programming languages like Python or Java.

• Familiarity with containerization (Docker) and orchestration (Kubernetes).

• Understanding of databases, data warehousing, and data governance.

• Strong problem-solving and communication skills.

Preferred Qualifications:

• Experience with big data processing frameworks (Spark, Hadoop) and platforms such as Databricks.

• Knowledge of ML frameworks (TensorFlow, PyTorch).

• Familiarity with infrastructure-as-code tools (Terraform, CloudFormation).

• Certifications in AWS, Azure, or GCP.

At Loisto AI, we learn, perform, deliver, and prioritize our client's successes. Join us and make an impact while enjoying competitive compensation, comprehensive benefits, and growth opportunities. Apply now with your resume and a cover letter highlighting your relevant experience and interest in this position