Lead ML Engineer
Lead ML Engineer
Posted on :
24-06-2025
Employer Active
1 Vacancy
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Job Description
Role Overview:
The Machine Learning Lead will oversee the full lifecycle of machine learning projects from concept to production deployment. The role requires strong technical expertise and leadership to guide teams in delivering impactful AI-driven solutions.
Key Responsibilities:
- Design and implement scalable ML models for various business applications.
- Manage end-to-end ML pipelines including data preprocessing model training and deployment.
- Fine-tune foundation models and create small language models for deployment on AWS Inferentia and Trainium.
- Deploy ML models into production environments using platforms such as AWS.
- Lead the implementation of custom model development ML pipelines fine-tuning and performance monitoring.
- Collaborate with cross-functional teams to identify and prioritize AI/ML use cases.
Required Skills:
- Expertise in ML frameworks like TensorFlow PyTorch and Scikit-learn.
- Strong experience deploying ML models on cloud platforms especially AWS.
- In-depth knowledge of SageMaker and SageMaker Pipelines.
- Familiarity with RAG-based architectures agentic AI solutions Inferentia and Trainium.
- Advanced programming skills in Python with experience in APIs and microservices.
- Exceptional problem-solving abilities and a passion for innovation.
inferentia,microservices,tensorflow,ml,mlops,agentic ai solutions,sagemaker,python,machine learning,rag-based architectures,pytorch,sagemaker pipelines,scikit-learn,aws,trainium
Employment Type
Full Time
Key Skills
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