Role Developer Engineer
Role details
Job location
Tech stack
Job description
Skill Set AI Solutions Development Python Langchain Pytorch Tensorflow etc, We are seeking a highly skilled AI Solutions Developer with strong expertise in building endtoend AIML applications using Python and modern AI frameworks such as LangChain PyTorch and TensorFlow The role involves designing developing and deploying intelligent solutions including LLMpowered applications machine learning models automation pipelines and AIdriven integrations, AIML Model Development - Design build and optimize machine learning and deep learning models using PyTorch TensorFlow and related frameworks
LLM Generative AI Solutions - Develop applications powered by Large Language Models using LangChain vector databases embeddings and prompt orchestration frameworks
PythonBased Application Development - Build scalable AI services automation tools and backend components using Python Data Engineering Pipelines - Prepare transform and manage datasets build feature pipelines and model training workflows
Model Deployment MLOps - Deploy models into production using APIs containerization Docker CICD and cloud platforms
Evaluation Optimization - Perform model tuning evaluation and performance optimization to ensure accuracy efficiency and reliability CrossFunctional Collaboration - Work closely with product engineering and business teams to translate strategic requirements into AIdriven technical solutions
Experimentation Research - Stay uptodate with emerging AI technologies evaluate new tools and prototype innovative solutions, SYSMIND is an Equal Employment Opportunity employer. All qualified applicants will be considered for employment without any discrimination. All applicants will be evaluated solely based on their ability, competence, and performance of the essential functions of their positions. We promote and support a diverse workforce at all levels in the company.
Requirements
Strong hands-on experience with Python for AIML development
Proficiency with PyTorch TensorFlow or similar deep learning frameworks
Experience developing LLM - based applications using LangChain embeddings vector databases FAISS Chroma Pinecone or similar technologies
Ability to design and implement end to end ML pipelines training validation deployment
Strong understanding of machine learning concepts NLP and deep learning architectures
Solid experience with APIs microservices and cloud based deployment
Strong analytical debugging and problem solving skills