Machine Learning Engineer II

📋 Description

• Design, develop, and productionize ML/GenAI solutions for Company and Domain intelligence.
• Build data pipelines and solve data problems using LLMs, transformers, and retrieval/RAG.
• Develop ML solutions for classification, enrichment, information extraction, ranking, quality.
• Experiment with models, prompts, embeddings, retrieval techniques, and metrics.
• Collaborate with engineers, analysts, and product managers on scalable AI/ML solutions.
• Build LLM apps using RAG, semantic retrieval, tool calls, and API integration.

🎯 Requirements

• 5–7 years of experience in ML engineering or related roles.
• Strong Python; software engineering fundamentals; Scala a plus.
• Hands-on experience deploying ML models to production.
• Experience with Generative AI/LLMs, embeddings, prompts, and RAG.
• ML concepts: training, feature engineering, evaluation, experimentation, inference.
• SQL proficiency and working with large datasets; NLP/unstructured data.

🎁 Benefits

• Competitive compensation and health benefits.
• Ownership of features end to end from design to deployment.
• Cloud-native operations with Docker, Kubernetes, CI/CD and observability.
• Focus on quality, reliability, latency, and cost optimization.
• Versioning for models, prompts, configurations, and evaluations.
• Strong engineering practices across architecture and testing.