Synechron is seeking a Sr. AI/ML Engineer to join our team in Charlotte NC (Need Onsite day 1 hybrid 3 days from office).
Job Description:
We are seeking a passionate and skilled Sr AI/ML Engineer with hands-on experience in LangChain and LangGraph to develop optimize and deploy machine learning and NLP-based solutions. The ideal candidate will have a strong foundation in AI/ML concepts experience working with large language models and deep familiarity with LangChain and LangGraph frameworks.
Responsibilities:
- Design develop and deploy AI/ML models integrated with natural language processing capabilities.
- Utilize LangChain to build and manage language model applications including chatbots question-answering systems and knowledge management solutions.
- Leverage LangGraph to create visualize and optimize knowledge graphs for AI applications.
- Integrate LangChain and LangGraph with existing data pipelines and backend systems.
- Experiment with and fine-tune large language models for specific business use cases.
- Collaborate with product teams to translate requirements into scalable AI solutions.
- Monitor and improve the performance of deployed models and systems.
- Document architecture processes and best practices.
Requirements:
- Bachelors or Masters degree in Computer Science Data Science AI or a related field.
- Proven experience with AI/ML frameworks and libraries (TensorFlow PyTorch etc.).
- Hands-on experience with language models like GPT BERT or similar.
- Strong proficiency in Python.
- Practical experience with LangChain for building LLM applications.
- Familiarity with LangGraph or similar knowledge graph frameworks.
- Knowledge of API integration data pipelines and cloud platforms (AWS GCP Azure).
- Strong analytical problem-solving and communication skills.
Preferred Skills:
- Experience deploying AI solutions at scale.
- Understanding of semantic search retrieval-augmented generation (RAG) and multi-modal AI.
- Contributions to open-source projects related to LangChain LangGraph or NLP.
Synechron is seeking a Sr. AI/ML Engineer to join our team in Charlotte NC (Need Onsite day 1 hybrid 3 days from office). Job Description: We are seeking a passionate and skilled Sr AI/ML Engineer with hands-on experience in LangChain and LangGraph to develop optimize and deploy machine learning...
Synechron is seeking a Sr. AI/ML Engineer to join our team in Charlotte NC (Need Onsite day 1 hybrid 3 days from office).
Job Description:
We are seeking a passionate and skilled Sr AI/ML Engineer with hands-on experience in LangChain and LangGraph to develop optimize and deploy machine learning and NLP-based solutions. The ideal candidate will have a strong foundation in AI/ML concepts experience working with large language models and deep familiarity with LangChain and LangGraph frameworks.
Responsibilities:
- Design develop and deploy AI/ML models integrated with natural language processing capabilities.
- Utilize LangChain to build and manage language model applications including chatbots question-answering systems and knowledge management solutions.
- Leverage LangGraph to create visualize and optimize knowledge graphs for AI applications.
- Integrate LangChain and LangGraph with existing data pipelines and backend systems.
- Experiment with and fine-tune large language models for specific business use cases.
- Collaborate with product teams to translate requirements into scalable AI solutions.
- Monitor and improve the performance of deployed models and systems.
- Document architecture processes and best practices.
Requirements:
- Bachelors or Masters degree in Computer Science Data Science AI or a related field.
- Proven experience with AI/ML frameworks and libraries (TensorFlow PyTorch etc.).
- Hands-on experience with language models like GPT BERT or similar.
- Strong proficiency in Python.
- Practical experience with LangChain for building LLM applications.
- Familiarity with LangGraph or similar knowledge graph frameworks.
- Knowledge of API integration data pipelines and cloud platforms (AWS GCP Azure).
- Strong analytical problem-solving and communication skills.
Preferred Skills:
- Experience deploying AI solutions at scale.
- Understanding of semantic search retrieval-augmented generation (RAG) and multi-modal AI.
- Contributions to open-source projects related to LangChain LangGraph or NLP.
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