Associate Machine Learning Engineer
Associate Machine Learning Engineer
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1 Vacancy
Job Description
Encora is seeking a highly motivatedAssociate Machine Learning Engineerwith 25 years of experience to join our growing AI/ML team. You will play a key role in building deploying and scaling machine learning models that power realworld applications. The ideal candidate is equally comfortable working with data pipelines model development and MLOps workflowsand is excited to contribute to both experimentation and productiongrade systems. This is a 6 month project with high potential for extension. You will work remote supporting EST hours.
Key Responsibilities:
- Collaborate with data scientists engineers and product managers to design build and deploy ML models into production.
- Develop and maintain robust scalable pipelines for data preprocessing feature engineering and model training.
- Integrate models with production systems and monitor their performance postdeployment.
- Participate in code reviews testing and documentation to ensure highquality maintainable ML code.
- Contribute to model versioning experiment tracking and reproducibility using tools like MLflow Weights & Biases or similar.
- Implement model validation techniques A/B testing and continuous model improvement practices.
- Help optimize model performance and infrastructure costs across cloud or onprem environments.
Required Qualifications:
- 25 years of experience in ML engineering applied machine learning or related roles.
- Strong proficiency in Python and libraries such as scikitlearn Pandas NumPy and PyTorch or TensorFlow.
- Solid understanding of machine learning fundamentals including model evaluation overfitting regularization etc.
- Experience with ML workflow tools like MLflow Airflow or Kubeflow.
- Familiarity with cloud platforms such as AWS (SageMaker) GCP (Vertex AI) or Azure (ML Studio).
- Experience working with version control (Git) and CI/CD practices.
- Excellent problemsolving and collaboration skills.
Preferred Qualifications:
- Experience deploying models in realtime or batch environments via REST APIs containers or streaming platforms (e.g. Kafka).
- Knowledge of MLOps tools and concepts such as Docker Kubernetes model registries and feature stores.
- Familiarity with big data technologies (e.g. Spark Hadoop) is a plus.
- Exposure to NLP computer vision or time series modeling is a bonus.
- Bachelors or Masters degree in Computer Science Engineering Data Science or a related field.
Required Experience:
IC
Employment Type
Full Time
