The role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems.
Plays a critical role in leading and supporting machine learning initiatives.
Combined with technical expertise and management skills to drive successful project execution, deploying and monitoring the models, foster collaboration, and align machine learning strategies with broader business goals.

Requirements

14+ yrs experience
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Extensive experience in designing and implementing AI/ML platforms and architectures.
Proficiency in cloud computing platforms such as AWS, Azure, or Google Cloud.
Strong understanding of AI/ML model development, deployment, and lifecycle management.
Experience with data management, including data pipelines, storage solutions, and processing frameworks.
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
NICE TO HAVE: Experience with generative AI models and frameworks such as GPT, GANs, or other deep learning models.
Knowledge of big data technologies and tools such as Hadoop, Spark, or Kafka.
Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
Experience with AI/ML tools and libraries such as TensorFlow, PyTorch, or scikit-learn.
Strong understanding of DevOps practices and CI/CD pipelines.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningAI/ML model developmentdata managementcloud computingbig data technologiesDevOps practicesCI/CD pipelinesgenerative AI modelsdata pipelineslifecycle management

Soft Skills

communication skillscollaboration skillsleadership skillsproject executioncross-functional teamwork

Certifications

Bachelor's degreeMaster's degree