Role : Senior AI/MLOPs Engineer (Lead)
Main Skills : Model Lifecylcle Mgmt, MLOPs, Feature Engineering, DevOPs Automation (IaC Tools like Terraform, Cloud Formation), Python, PySpark, AWS SageMaker, SQL, No SQL
Type : Permanent
Programming Expertise:
- Strong proficiency in Python, with experience in frameworks like PySpark, Pandas, and NumPy.
- Skilled in developing RESTful APIs using Python frameworks such as FastAPI, Flask, or Django.
Machine Learning and AI:
- 5–8 years of hands-on experience in AI/ML, including designing, training, and deploying models.
- Proficient with ML frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.
- Strong knowledge of machine learning and neural network architectures, including Ensemble Models, SVM, CNN, RNN, and Transformers.
NLP and Generative AI:
- Expertise in Natural Language Processing tools like NLTK, SpaCy, Hugging Face, and Gensim.
- Proven experience in implementing Text Analytics, Generative AI models, and NLP solutions.
MLOps and Infrastructure:
- Hands-on experience with AWS (required), particularly SageMaker for model training, deployment, and lifecycle management.
- Proficiency in cloud platforms like AWS, Azure, or GCP, with a focus on scalable and automated MLOps pipelines.
- Experience with MLOps tools such as MLflow, SageMaker Pipelines, Airflow, or Kubeflow.
- Knowledge of microservices architecture and containerization technologies like Docker and Kubernetes.
5Feature Engineering and Data Management:
- Expertise in data preprocessing, feature extraction, and transformation for machine learning pipelines.
- Strong SQL and NoSQL database experience, including MongoDB, PostgreSQL, or Neo4j.
DevOps Automation:
- Skilled in automating workflows for ML model deployment and lifecycle management.
- Knowledge of Infrastructure-as-Code (IaC) tools like Terraform or CloudFormation.
- Experience with CI/CD pipelines for deploying ML models in production.
Soft Skills:
• Strong problem-solving abilities with a proactive and collaborative mindset.
• Excellent communication skills to work effectively with cross-functional teams.
• Bachelor’s or higher degree in Computer Science, Information Technology, Data Science, or a related field.
Key Skills
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- Posted
- Jan 24, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Germany
- Company
- Gazelle Global
Industries
Categories
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