Senior Python Engineer
2 weeks ago
Job Title:
Senior Python Engineer
Location:
Remote
Duration:
Contract
Job Description:
Role Overview:
We are seeking a highly skilled Senior Python Engineer with over 10 years of expertise in Python programming and a strong background in utilizing advanced tools such as Langchain, PySpark, PyTorch, TensorFlow, and Streamlit.
Key Responsibilities:
- Engage in Prompt Engineering and AI initiatives.
Chatbot Development:
Design and implement advanced AI chatbot solutions, encompassing functionalities like QA/chatbots, translation, and search/summarization capabilities.
GenAI Expertise:
- 5+ years of experience with GenAI Foundation Models and Vector Databases, focusing on leveraging foundational AI models for enhanced capabilities.
- 5+ years of experience in Retrieval-Augmented Generation (RAG).
Model Optimization:
Utilize RAG techniques to refine AI responses and optimize model performance.
Orchestration Tools:
Employ advanced orchestration tools such as Semantic Kernel and Langchain for effective AI model management.
Technical Proficiencies:
- Proficient in either OpenAI or Google Vertex, along with other models from Hugging Face for implementing cutting-edge language models.
- Ensure high availability and efficient deployment of cloud-native applications.
- Experience in hosting LLMs on-premises.
- Familiarity with GitOps principles and tools, including Git, Tekton, Flux, or ArgoCD, for managing infrastructure and application deployments.
- Strong analytical and problem-solving skills, with the ability to thrive in a collaborative and dynamic environment.
- 5+ years of experience with Automated AI Tools and Machine Learning/AI.
- 5+ years of experience in cloud platforms such as AWS and Azure.
- 5+ years of experience with Docker and Kubernetes.
- A Bachelor's or Master's degree in Computer Science, AI, or a related discipline.
Impact:
This role is pivotal in achieving optimal RAG outcomes on client data and contributing to the broader AI and machine learning landscape. Collaborate with cross-functional teams to understand business needs and design AI solutions based on language models.
Responsibilities Include:
- Developing, training, and fine-tuning language models using frameworks like PyTorch and TensorFlow.
- Implementing state-of-the-art language models utilizing expertise in either OpenAI or Google Vertex.
- Leading the design and development of End-to-End RAG solutions.
- Experimenting with various chunking and retrieval methods to enhance RAG system efficiency.
- Conducting thorough evaluations of model and application performance, focusing on accuracy and bias identification.
- Engaging with clients across diverse sectors to facilitate the successful adoption of unstructured APIs.
Thank you,
Syntricate Technologies Inc.
MBE & E-Verify Certified
IT Services & Solutions | IT, Non-IT & Medical Staffing services
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