Back
Metro location and broad ML/MLOps requirements increase applicant competition despite seniority.
Deep AI/ML and MLOps expertise required makes cross-industry transfers difficult.
Explicit 8+ years and mandatory ML, MLOps, and cloud experience create strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and develop scalable AI/ML solutions to solve business problems and deploy machine learning models using modern frameworks.
Manage end-to-end ML lifecycle including data preparation, model training, validation, deployment, monitoring, and optimization to ensure model performance and scalability.
Collaborate with cross-functional teams to translate business needs into AI solutions and mentor junior team members while driving best practices and innovation.
Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
8+ years of experience in AI/ML development and deployment.
Strong programming skills in Python (preferred) or Java/Scala and experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
Knowledge of cloud platforms (Azure, AWS, or GCP) and MLOps practices including CI/CD for ML models.
Experienced AI practitioner with ability to lead complex AI/ML projects from design through production in fast-paced, Agile/SAFe environments.
Strong collaborator who can translate business requirements into effective AI solutions and influence stakeholders with data-driven insights.
Technically proficient in multiple ML/DL techniques, cloud platforms, and MLOps, with a track record of mentoring and driving innovation within engineering teams.