Description

You will build, deploy, and scale machine learning solutions across Azure and on-premise environments.

Responsibilities

• Design, test, and deploy AI/ML cognitive services to ensure system stability.
• Scale pilot machine learning solutions into large-scale production environments.
• Lead multi-discipline teams to deliver results and communicate technical risks.
• Apply statistical modeling and data mining techniques to solve complex use cases.

Required Skills

• 5+ years of hands-on experience with Python or R and statistical packages.
• Proficiency in SQL and NoSQL databases.
• Experience with ML libraries including scikit-learn, TensorFlow, and PyTorch.
• Practical knowledge of supervised and unsupervised algorithms (Linear/Logistic Regression, SVM, Neural Networks, Random Forest).
• Experience with big data environments such as Hadoop and Spark.
• Working knowledge of Splunk, Kafka, Flink, and Stream Analytics.
• Familiarity with containerization using Docker and Kubernetes.
• Programming experience in JavaScript.

Preferred Skills

• Experience in the Telecommunications industry.
• Expertise with visualization tools such as PowerBI or D3JS.

Key Skills

Education

Bachelor's degree in Computer Science