
AI Model Developer
4 days ago
About the Role:
We are seeking an experienced Machine Learning Engineer to design, build, and deploy ML models that power business-critical solutions. This talented individual will collaborate with cross-functional teams to deliver scalable ML systems, driving innovation and measurable business outcomes.
Key Responsibilities:
- Create, train, and deploy machine learning models using regression, classification, clustering, and deep learning techniques.
- Develop data pipelines, feature engineering, and training workflows.
- Deploy models to production using Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
- Analyze model performance, retrain, and maintain production-ready systems.
- Craft APIs and integrate ML solutions with enterprise applications.
- Stay current on ML/AI trends and contribute innovative solutions.
- Collaborate with data scientists, engineers, and product managers to align with business objectives.
Required Skills and Qualifications:
- At least 3 years of experience in ML engineering or a related field.
- Strong proficiency in Python; knowledge of Java/Scala/R is beneficial.
- Expertise with popular ML libraries/frameworks: scikit-learn, TensorFlow, PyTorch, Keras.
- Familiarity with data tools: Pandas, NumPy, Spark.
- Experience with ML deployment (SageMaker, Azure ML, GCP AI, TensorFlow Serving, TorchServe).
- Acknowledgement of databases (SQL, MongoDB, Cassandra) and version control (Git).
- Understanding of DevOps/MLOps best practices.
- Excellent problem-solving, communication, and collaboration skills.
Benefits:
This role offers opportunities for professional growth, innovation, and collaboration within a dynamic team.
Others:
Please submit your application if you possess the required skills and qualifications.
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