Sr. AI / Python Developer
Work Location : Remote
PROJECT SCOPE : Candidate will be working on Blue Card modernization project. Goal will be to modernize the components using AI technologies on a Python-based platform.
JOB SUMMARY :
Responsible for development, programming, coding of Information Technology solutions using Python to enable Florida Blue Customer Experience applications. Responsible for documentation of the system, conduct unit tests, peer code reviews and maintenance of internally developed applications, evaluation and performance testing of purchased products. Responsible for including IT Controls to protect the confidentiality, integrity, as well as availability of the application and data processed or output by the application.
REQUIREMENTS :
- Experience with unit testing, release procedures, coding design and documentation protocol as well as change management procedures
- Demonstrated organizational, analytical and interpersonal skills
- Flexible team player
- Ability to manage tasks independently and take ownership of responsibilities
- Ability to learn from mistakes and apply constructive feedback to improve performance
- Must demonstrate initiative and effective independent decision-making skills
- Ability to communicate technical information clearly and articulately
- Ability to adapt to a rapidly changing environment
- In-depth understanding of the systems development life cycle
- May include database knowledge in; SQL, MySQL, Oracle DB, PostgreSQL, Cassandra, dBase, MS Access, etc
- Responsible for development, programming, coding of Information Technology solutions using Python
- Responsible for documentation of the system, conduct unit tests, peer code reviews and maintenance of internally developed applications, evaluation and performance testing of purchased products.
- Responsible for including IT Controls to protect the confidentiality, integrity, as well as availability of the application and data processed or output by the application.
- Excellent understanding of RESTful Architecture style.
- We expect the candidate to have ability to take methodical approach to evaluate various libraries with pros and cons to meet business / technical requirements.
- Excellent understanding of Python programming mode and required libraries to develop REST API Services.
- Must have demonstrated experience developing REST APIs using Python.
- Must have demonstrated experience processing batch files using Python
- Must have demonstrated experience developing scheduling of batch processes
- Proficiency using standard desktop applications such as MS Suite and flowcharting tools such as Visio
- High critical thinking skills to evaluate alternatives and present solutions that are consistent with business objectives and strategy
PREFERRED QUALIFICATIONS :
The preferred qualifications listed below reflect desired knowledge, skill, and / or experience.
Additional Preferred Qualifications :
Various Domain experience; Health Care, Financial, etcExperience using Agile, Waterfall, or hybrid methodologySpecific tools, languages and specialty skills may varyReact UI development experience is preferableStrong experience in building Advanced Retrieval Augmented Generation (RAG) applications with required guardrailsStrong experience with a programming language Python with Java backgroundExperience leading projects and working in a collaborative, interdisciplinary team environment, consisting of data scientists, ML engineers, and domain expertsProficient professional hands-on experience in Generative AIExperience integrating LLMs, such as Llama, Mistral, generative pre-trained transformer (GPT) models, or multi-modal models with applications or user interfacesExperience working with modern AI capabilities in ML such as Scikit-learn or pandasExperience with natural language processing such as Gensim or NLTK, large language model (LLM) frameworks such as Lang Chain, Hugging Face and API integration and development such as RESTful APIsExperience finetuning LLMs and creating and leveraging vector databases such as Pgvector, Redis, Elasticsearch for Retrieval Augmented GenerationExperience with standup of cloud-based infrastructure and platform services, including AWS or AzureExperience of how to evaluate generative AI models and model output, and how to apply responsible AI principles to LLMsExperience with container technologies, such as Docker or KubernetesAbility to distill complex technical concepts into easily understandable summaries consumable by business leaders with a non-technical backgroundKnowledge of LLMOps,including frameworks and tools used for deploying LLMs, such as FastAPI, Flask, or StreamlitKnowledge of MLOps, including CI / CD, model training or testing, deployment, or monitoringFamiliarity with DevOps principles, including code repository, code management, CI / CDReact UI development experience is preferableREQUIRED EDUCATION / EXPERIENCE :
Related Bachelor's degree or related work experience5+ years related work experience, professional experience with technical design and coding in the IT industryStrong experience in building Advanced Retrieval Augmented Generation (RAG) applications with required guardrailsStrong experience with a programming language Python with Java backgroundExperience leading projects and working in a collaborative, interdisciplinary team environment, consisting of data scientists, ML engineers, and domain expertsProficient professional hands-on experience in Generative AIExperience integrating LLMs, such as Llama, Mistral, generative pre-trained transformer (GPT) models, or multi-modal models with applications or user interfacesExperience working with modern AI capabilities in ML such as Scikit-learn or pandasExperience with natural language processing such as Gensim or NLTK, large language model (LLM) frameworks such as Lang Chain, Hugging Face and API integration and development such as RESTful APIsExperience finetuning LLMs and creating and leveraging vector databases such as Pgvector, Redis, Elasticsearch for Retrieval Augmented GenerationExperience with standup of cloud-based infrastructure and platform services, including AWS or AzureExperience of how to evaluate generative AI models and model output, and how to apply responsible AI principles to LLMsExperience with container technologies, such as Docker or KubernetesAbility to distill complex technical concepts into easily understandable summaries consumable by business leaders with a non-technical backgroundKnowledge of LLMOps,including frameworks and tools used for deploying LLMs, such as FastAPI, Flask, or StreamlitKnowledge of MLOps, including CI / CD, model training or testing, deployment, or monitoringFamiliarity with DevOps principles, including code repository, code management, CI / CDPrimary is Python / AI dev experience#DICE
tkettwick@c4techservices.com