Webskitters - AI/ML Engineer - PyTorch/Tensorflow

Description :

- Develop, test, and deploy machine learning models and algorithms in production environments.

- Work with large datasets to perform data preprocessing, feature engineering, and model training.

- Build scalable pipelines for model training, validation, deployment, and monitoring.

- Collaborate with software development teams to integrate ML models into applications.

- Optimize model performance through hyperparameter tuning, ensembling, and algorithm selection.

- Stay updated with latest ML research and technologies, recommending adoption where appropriate.

- Mentor junior engineers and participate in code reviews.

- Develop tools for automating model testing and deployment workflows.

Required Skills & Qualifications :

- 4 to 6 years of professional experience in machine learning or data science roles.

- Proficiency in Python and ML libraries like TensorFlow, PyTorch, Scikit-learn.

- Strong understanding of supervised, unsupervised, and reinforcement learning techniques.

- Experience with deep learning architectures such as CNNs, RNNs, Transformers.

- Hands-on experience with data pipelines, feature engineering, and model deployment.

- Familiarity with cloud platforms like AWS, Azure, or GCP.

- Experience with containerization tools like Docker and orchestration with Kubernetes is a plus.

- Strong problem-solving skills and ability to work in a collaborative environment.

Preferred Qualifications :

- Experience with ML lifecycle management tools (MLflow, Kubeflow).

- Familiarity with big data frameworks (Spark, Hadoop).

- Experience with DevOps/CI-CD pipelines for ML.