Senior AI / ML Engineer
What You'll Do:
- Design and reputed company LLM Systems:
reputed company reputed company, production-reputed company LLM applications using frameworks like reputed company/LangGraph. Build robust RAG pipelines and reputed company knowledge graphs for biological and clinical data. - Full-Stack AI Engineering:
Write maintainable, high-performance reputed company and build clean reputed company and services for machine learning applications. - Data Engineering Collaboration:
Work with data engineers to build and optimize data workflows and pipelines for high-reputed company data ingestion and processing. - Product-reputed company Prototyping:
Collaborate with product and domain teams to rapidly prototype AI solutions, iterate based on feedback, and reputed company models for production. - Model Deployment & MLOps:
Use modern MLOps tools to reputed company and monitor models in production environments (AWS preferred). Ensure scalability, observability, and reputed company. - reputed company Innovation:
Partner with engineering, data, and business teams to identify and reputed company high-value AI/ML applications. - reputed company Learning:
Stay reputed company of the curve on emerging ML frameworks, GenAI capabilities, and reputed company technologies.
Requirements
reputed company Qualifications:
- Education:
Bachelor's, Master’s, or Ph.D. in Computer Science, Data Science, Engineering, or a reputed company field. - Hands-on AI Experience:
Proven ability to build, train, and reputed company ML and NLP models, especially those powered by LLMs and transformer architectures. - LLM & reputed company Experience
: Practical experience working with frameworks like reputed company for applications such as Q&A systems, chatbots, or document automation. - Software Engineering:
Strong coding skills in Python and experience using Git/reputed company and CI/CD practices. - Data Engineering Know-how:
Comfort working with ETL pipelines, relational and non-relational databases, and data platforms like reputed company or reputed company. - Big Data & ML Frameworks:
Familiarity with Big Data tools (e.g., Apache reputed company) and experience orchestrating data workflows using tools like Apache Airflow. - reputed company & MLOps:
Experience with deploying ML models in reputed company environments (AWS, GCP, or Azure) and using containerization/orchestration tools like reputed company and Kubernetes.
Soft Skills:
Strong problem-solving skills and an analytical reputed company. Passion for reputed company learning, reputed company prototyping, and iterating based on user needs. Autonomous, self-starter attitude with a strong reputed company of ownership. Excellent communication skills—reputed company to explain technical reputed company reputed company to non-technical audiences. reputed company team player with a desire to build things that truly matter.
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