AI/ML Engineer

FiveRivers Technologies is looking for an AI/ML Engineer with 2-4 years experience, to work on cutting-edge Artificial Intelligence and Machine Learning solutions. The role will focus on designing and developing efficient and effective systems related to Generative AI, NLP, Computer Vision and Machine Learning, while collaborating with cross-functional teams.

Responsibilities

• Implementing AI solutions involving Generative AI, Agentic AI, LLMs, VLMs, Computer Vision, NLP, Machine Learning, Time-Series and Data Analytics etc. with a focus on LLM based systems.
  
• Designing system architecture, pipelines, algorithms and ML models for solving the business problems, based on client communication and research.
  
• Collaborating with cross-functional teams to integrate and deploy AI components in solutions.

Requirements

• 2-4 years experience working on Machine Learning and Artificial Intelligence related jobs.
  
• BS or MS(preferable) degree in CS, SE, IT, EE, DS, AI or relevant field.
  
• Good Python programming, problem solving and algorithm design skills.
  
• Knowledge and experience in Generative AI, LLMs, Agentic AI and NLP, including LLM frameworks and techniques like LangChain, LangGraph, LlamaIndex, CrewAI, Google ADK, Prompt Engineering, Context Engineering, Advanced RAG, Agents and LLM Fine-tuning.
  
• Knowledge of Machine Learning and Deep Learning theory and implementation, with expertise in using libraries like SciKit-Learn, TensorFlow, PyTorch and Huggingface-transformers etc.
  
• Knowledge and experience in Computer Vision including classical image processing, CNNs, Vision-Transformer and Vision-Language Models.
  
• Experience working on LLMOps, MLOps, AI Engineering, REST APIs, CI/CD, Cloud and LLM Serving & Inference.
  
• Experience working on Data Wrangling, Data Engineering and Vector DBs.
  
• Ability to do problem modeling, system design and creative algorithm design for complex business problems, while maintaining good communication with stakeholders.
  
• Knowledge and experience in Data Analysis, Statistics and Data Visualization.
  
• Familiarity with other AI areas like Time-Series, Recommendation Systems, Speech, Reinforcement Learning and Image Generation.
  
• Staying up to date with the latest AI research, advancements and tools.