we are looking for a Senior Machine Learning Engineer.
As a Senior Machine Learning Engineer , you will play a crucial role in developing and implementing machine learning models that drive our products and user experiences. You will have a significant impact on our large and growing user base by leveraging the latest AI technologies to solve challenging problems at scale. This is a unique opportunity to join a forward-thinking team that is passionate about innovation, data, and machine learning.
What youll do:
Design, develop, and deploy machine learning models for various business needs.
Collaborate with cross-functional teams, product managers, and software engineers, to integrate ML solutions into production systems.
Experiment with and iterate on model architectures to improve accuracy, efficiency, and scalability.
Work with large datasets to preprocess, clean, and extract meaningful features for model training.
Utilize MLOps best practices to automate and streamline the development lifecycle of ML models.
Monitor model performance and fine-tune for optimization.
Stay updated with the latest research and advancements in machine learning and AI.
As a Senior Machine Learning Engineer , you will play a crucial role in developing and implementing machine learning models that drive our products and user experiences. You will have a significant impact on our large and growing user base by leveraging the latest AI technologies to solve challenging problems at scale. This is a unique opportunity to join a forward-thinking team that is passionate about innovation, data, and machine learning.
What youll do:
Design, develop, and deploy machine learning models for various business needs.
Collaborate with cross-functional teams, product managers, and software engineers, to integrate ML solutions into production systems.
Experiment with and iterate on model architectures to improve accuracy, efficiency, and scalability.
Work with large datasets to preprocess, clean, and extract meaningful features for model training.
Utilize MLOps best practices to automate and streamline the development lifecycle of ML models.
Monitor model performance and fine-tune for optimization.
Stay updated with the latest research and advancements in machine learning and AI.
Requirements:
Strong foundation in machine learning techniques such as supervised and unsupervised learning, deep learning, and vision/NLP experience.
Proficiency in Python, along with popular ML libraries and frameworks such as PyTorch, Scikit-Learn, pandas, NumPy, SciPy, TensorFlow.
Experience with data preprocessing and feature engineering for structured and unstructured data.
Knowledge of model deployment and serving, using tools like Docker, Kubernetes, or cloud-based services (AWS, GCP, Azure).
Familiarity with MLOps tools for automation and monitoring (e.g., MLFlow, ClearML).
Experience with SQL for data extraction and analysis (optional).
Experience:
Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field.
7+ years of experience in software development, including at least 3 years of experience in the machine learning domains.
Experience working in a B2C company or a similar high-paced environment is an advantage.
Proven track record of implementing impactful machine learning solutions in production.
Strong foundation in machine learning techniques such as supervised and unsupervised learning, deep learning, and vision/NLP experience.
Proficiency in Python, along with popular ML libraries and frameworks such as PyTorch, Scikit-Learn, pandas, NumPy, SciPy, TensorFlow.
Experience with data preprocessing and feature engineering for structured and unstructured data.
Knowledge of model deployment and serving, using tools like Docker, Kubernetes, or cloud-based services (AWS, GCP, Azure).
Familiarity with MLOps tools for automation and monitoring (e.g., MLFlow, ClearML).
Experience with SQL for data extraction and analysis (optional).
Experience:
Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field.
7+ years of experience in software development, including at least 3 years of experience in the machine learning domains.
Experience working in a B2C company or a similar high-paced environment is an advantage.
Proven track record of implementing impactful machine learning solutions in production.
This position is open to all candidates.
