HI
Please share me the profiles at jaya@siritechsol.com
Systems Analyst 4
Duration: 6 Months
Location: Augusta, Maine
Work Mode: 100% REMOTE
Interview Mode: Teams
Special Requirement:
Work Location: 100% Remote (Will only consider candidates in the Eastern and Central time zones)
Top 3 Skills:
Google Analytics experience.
Experience extracting data from source system to target data warehouse.
Expert knowledge of Power BI data visualization and analysis tools.
Job Description:
This position is part of the Enterprise Data Services group and will work with the Digital Services program within the Office of Information Technology. The Digital Services program is essential for designing and overseeing the implementation of a customer-centric online application to simplify State government and digital services. While working alongside vendor contractors and the Digital Service program team, you will be relied upon for all aspects of data analysis and exploration while providing valuable analytical insights to support department initiatives and assist in making data-driven program decisions. This position will able be responsible for incorporating a repository of data from the online application into an existing warehouse and presenting data in PowerBI dashboards and reports.
Responsibilities:
Required Skills:
Analyze and understand State requirements.
Participate as subject matter expert of source data, develop data catalogue, and perform user acceptance testing for Digital Services program.
Provide expertise for data sharing, data visualization, and understand, configure, and enforce access rules.
Understand KPIs and present related data in a meaningful way.
Help establish frequency and schedule of data extraction, review data quality, and adhere to transformation rules.
Develop reports, dashboards, and visualize data in a meaningful way based on given requirements.
Participate in project briefing and brainstorming.
Using detailed and general knowledge of the end-to-end workings of how systems work, assist in any testing, troubleshooting, and help implement fixes to resolve poorly functioning processes.
Assist in solution documentation, diagrams, and technical specifications.
Required /Desired Skills:
Top 3 Skills:
Google Analytics experience.
Experience extracting data from source system to target data warehouse.
Expert knowledge of Power BI data visualization and analysis tools.
Five%2B years of relevant experience in the following:
Extracting data from source system to target data warehouse.
Data analysis, quality, and reporting.
Expert knowledge of Power BI data visualization and analysis tools.
Ability to read and follow regulatory requirements on State and Federal levels.
Strong information architecture and integration strategy skills.
Excellent communication and interpersonal skills.
Ability to work independently and as part of a team.
[17:46, 16/03/2026] %2B1 (405) 545-0726: can you please post this on conrep
[17:48, 16/03/2026] %2B1 (405) 545-0726: Role: Data Engineer Gen AI / Python
Location: Whippany NJ (2 daysoffice) - hybrid
Job Description:
Experienced and skilled in designing, building, and maintaining high-quality data pipelines, preprocessing workflows, and vector databases required for training, fine-tuning, and deploying Large Language Models (LLMs). Build and maintain high-throughput data pipelines, infrastructure, and storage solutions specifically to feed, train, and deploy AI/ML models, implementing RAG (Retrieval-Augmented Generation) systems, data cleaning, and model evaluation to ensure efficient, scalable, and reliable LLM applications.
Required Skills & Qualifications
Strong proficiency in Python is essential, along with SQL and NoSQL for data management.
Experience with LangChain, LlamaIndex, Hugging Face Transformers, and OpenAI API
Experience with Apache Spark, Kafka, or modern data stack tools.
Knowledge of NLP techniques, word embeddings, tokenization, and vector mathematics.
Familiarity with TensorFlow, PyTorch, or Hugging Face
Familiarity with cloud platforms (AWS, GCP, Azure), CI/CD, Docker, and Kubernetes.
Key Responsibilities
Design and build robust ETL/ELT pipelines for unstructured text data, including scraping, cleaning, deduplication, and transformation for LLM training.
Build and maintain vector search solutions (e.g., Pinecone, Milvus, Weaviate, Chroma) to store and retrieve embeddings for RAG systems.
Prepare high-quality datasets for fine-tuning adapters (e.g., LoRA) and train LLMs using frameworks like PyTorch or TensorFlow.
Implement Retrieval-Augmented Generation using frameworks like LangChain or LlamaIndex to connect LLMs to company data.
Develop evaluation frameworks for model performance, testing for accuracy, hallucination, and bias, and monitor deployed models.
Create APIs and internal web tools for data annotation, curation, and model interaction.