AI/ML Engineer
AI/ML Engineer
Recro- Posted 2 months ago
- Over 100 applicants have applied
Job Description
Key Responsibilities
- Model Implementation: Take ownership of Large Language Models (LLM) and Small Language Models (SLM).
- Python Development: Build and maintain high-performance solutions using a custom Python stack.
- System Engineering: Execute complex tool chaining and develop sophisticated system prompts to optimize AI output.
- Performance Excellence: Contribute to a project that offers potential for long-term client absorption based on individual performance after the initial six-month period.
Required Skills & Expertise
- AI/ML: Direct experience with LLMs and SLMs.
- Programming: Advanced proficiency in custom stack Python development.
- Orchestration: Hands-on experience with tool chaining and system prompt engineering.
- Domain: Interest or experience in financial technology and capital markets
More Info
Key Skills
About Company
Skills:
Python Programming, Databricks, Machine Learning Algorithms, Prompt engineering
Skills:
Python Programming, Databricks, Agent Frameworks Libraries, Prompt engineering
Skills:
Python, vector stores, data pipeline development, retrieval strategies, re-ranking, multi-step agent workflows, embedding models, prompt engineering, RAG architectures
Skills:
Java, BigQuery, Apis, Cloud Storage, Python, GenAI, Prompt engineering, Agent loops, Google Enterprise Agent Platform, Pub Sub, RAG concepts, Embeddings, Agentic AI, Memory fundamentals, GCP Services, SDKs, Tool integration
Skills:
Databases, Apis, Microservices, Python, Machine Learning, Predictive Analytics, Computer Vision, AI application architecture, LLMs, cloud platforms, Agentic AI solutions, AI integrations, Generative AI applications, AI ML frameworks, Forecasting, Ontology and Knowledge Representation, embedding, RAG vector databases, AI-powered search, IoT Connected Systems, Knowledge Graphs