Job Overview:
* We are seeking an experienced Senior Machine Learning Engineer to lead the development and deployment of scalable ML models in production environments.
Key Responsibilities:
* Lead the end-to-end ML lifecycle, from data preparation, model evaluation, deployment and monitoring.
* 5+ years of experience in ML engineering, data science, or applied machine learning roles
* Strong proficiency in Python and ML libraries (., TensorFlow, PyTorch, scikit-learn)
* Solid understanding of computer science fundamentals (algorithms, data structures, software design)
* Experience with ML Ops tools and cloud platforms (., AWS SageMaker, GCP Vertex AI, MLflow, Docker/Kubernetes)
* Proven track record of deploying ML models into production
* Excellent problem-solving, communication, and collaboration skills
Requirements:
* 5+ years of experience in ML engineering, data science, or applied machine learning roles
* Strong proficiency in Python and ML libraries (., TensorFlow, PyTorch, scikit-learn)
* Solid understanding of computer science fundamentals (algorithms, data structures, software design)
* Experience with ML Ops tools and cloud platforms (., AWS SageMaker, GCP Vertex AI, MLflow, Docker/Kubernetes)
* Proven track record of deploying ML models into production
* Excellent problem-solving, communication, and collaboration skills
Benefits:
* Pension
* Healthcare
* Bonus
* Excellent career progression opportunities
* Flexible hybrid working model with remote options available
Desirable:
* Experience with NLP systems
* Familiarity with big data technologies (Spark, Hadoop,
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