
Data Science Innovator
3 days ago
We are seeking an experienced Machine Learning Engineer to design, build and deploy AI-powered solutions that drive business growth. As a key member of our cross-functional team, you will collaborate with data scientists, engineers and product managers to develop scalable ML systems that meet business objectives.
Key Responsibilities:
- Design and deploy ML models (regression, classification, clustering, deep learning)
- Build and optimize data pipelines, feature engineering, and training workflows
- Deploy models to production using containerization and cloud platforms
- Monitor model performance, retrain, and maintain production-ready systems
- Develop APIs and integrate ML solutions with enterprise applications
- Stay updated on ML/AI trends and contribute innovative solutions
- Collaborate with stakeholders to align with business goals and objectives
Qualifications:
- 3+ years of experience in ML engineering or related field
- Strong proficiency in Python; knowledge of Java/Scala/R is a plus
- Expertise with ML libraries/frameworks: scikit-learn, TensorFlow, PyTorch, Keras
- Hands-on with data tools: Pandas, NumPy, Spark
- Experience with ML 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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