
Chief Machine Intelligence Specialist
23 hours ago
About the Job Opportunity:
At our organization, we seek a seasoned Machine Learning Engineer to design and develop machine learning models that propel business growth. In this pivotal role, you will collaborate with cross-functional teams to deliver scalable ML systems, driving innovation and measurable outcomes.
Key Responsibilities:
- Design, build, and deploy machine learning models using regression, classification, clustering, and deep learning techniques.
- Construct and optimize data pipelines, feature engineering, and training workflows.
- Deploy models in production using containerization tools like Docker and cloud platforms such as AWS, GCP, or Azure.
- Monitor model performance, retrain, and maintain production-ready systems.
- Develop APIs and integrate machine learning solutions with enterprise applications.
- Stay updated on AI trends and contribute innovative solutions.
- Collaborate with data scientists, engineers, and product managers to align with business objectives.
Qualifications:
- 3+ years of experience in machine learning engineering or a related field.
- Strong proficiency in Python; knowledge of Java, Scala, or R is beneficial.
- Expertise with machine learning libraries/frameworks such as scikit-learn, TensorFlow, PyTorch, and Keras.
- Hands-on experience with data tools: Pandas, NumPy, and Spark.
- Experience with machine learning deployment (SageMaker, Azure ML, GCP AI, TensorFlow Serving, TorchServe).
- Familiarity with databases (SQL, MongoDB, Cassandra) and version control (Git).
- Understanding of DevOps/MLOps practices.
- Excellent problem-solving, communication, and collaboration skills.
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