Innovative Machine Learning Professional
15 hours ago
Job Overview
At the forefront of machine learning innovation, we seek a seasoned Senior Machine Learning Engineer with 7+ years of experience to take our team to new heights.
Key Responsibilities:
- Model Development and Deployment
- Develop cutting-edge Large Language Model (LLM) solutions using prompt engineering, retrieval-augmented generation (RAG), and agent frameworks.
- Implement production-grade, reusable, and scalable code in Python and SQL, leveraging libraries like LangChain and LangGraph.
- Cloud Architecture and Optimization
- Design and optimize deployment pipelines on cloud platforms (Azure, AWS, or GCP), ensuring CI/CD, scalability, and cost-efficiency.
- Technical Leadership and Guidance
- Provide expert technical guidance, mentor junior team members, and foster a culture of best practices in machine learning and LLM engineering.
- Collaborate across functions, translating complex technical concepts into actionable insights for product owners, data scientists, and domain SMEs.
- Staying Ahead of the Curve
- Continuously experiment with new research, tools, and methods in generative AI to maintain innovative solutions.
Requirements
- 5+ years of professional experience in developing and deploying ML models in production environments.
- At least 1 year of practical experience working with large language models and generative AI, including prompt design, RAG pipelines, and AI agents.
- Proven ability to set and guide a technical roadmap for engineering teams.
- Advanced programming proficiency in Python and SQL with strong expertise in LangChain/LangGraph.
- Familiarity with cloud ecosystems (Azure, AWS, or GCP) and modern DevOps practices.
- Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders.
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