Job Specifications
Data Scientist
Location: Houston
Contract Type: 6-Month Ongoing Contract (potential to hire Fulltime)
Overview
Design & deliver GenAI solutions: Architect and implement LLM/LVM applications (text and, where applicable, vision) including prompt strategies, guardrails, evaluation metrics, cost/latency optimization, and production rollout.
Build robust RAG systems: Stand up end‑to‑end RAG pipelines (ingestion → chunking → embedding → retrieval → synthesis), with observability, feedback loops, and AB testing for groundedness and hallucination control.
Fine‑tune foundation models: Select, adapt, and fine‑tune open and hosted models for domain‑specific tasks using efficient techniques (LoRA/QLoRA, PEFT, parameter‑efficient adapters), and manage evaluation datasets.
Develop agentic workflows: Implement multi‑step, tool‑using agents for real‑time, context‑aware operations; orchestrate planning, memory, and tool calling with safe‑execution policies.
ML/LLM engineering: Build high‑quality Python code, reusable libraries, and APIs; implement CI/CD, testing, experiment tracking, and model/version governance.
Data & platforms: Partner with data engineering to operationalize pipelines on enterprise platforms (e.g., Databricks/Snowflake) and integrate with cloud AI/ML services.
Required qualifications
Mathematics & foundations
Statistics, Multivariate Calculus, Linear Algebra, Optimization (you can explain choices and trade‑offs in model behavior based on these principles).
Programming
Advanced Python (clean architecture, typing, packaging, testing; performance profiling and async where appropriate).
Python ecosystem
Data Handling/Visualization: pandas, NumPy, Seaborn/Matplotlib, pyspark
Machine Learning: scikit‑learn, XGBoost, LightGBM
Deep Learning:TensorFlow or PyTorch
Generative AI:LangChain, LlamaIndex, Haystack, Hugging Face transformers
Generative AI expertise
Large Language/Vision Models (LLM/LVM): Hands‑on with multiple providers/models (e.g., Gemini, GPT, Claude, Llama) and their APIs.
Model fine‑tuning: Proven experience fine‑tuning foundation models for domain tasks; evaluation design and data curation included.
Retrieval‑Augmented Generation (RAG): Ability to design and implement robust RAG systems for real‑time, context‑aware applications.
Prompt engineering & agentic workflows: Advanced prompt design (system/task/reflection patterns) and building multi‑step AI agents.
Vector databases/search & embeddings: Practical experience with vector indexing, similarity search, and embedding selection/management.
Software craftsmanship & platforms
Version Control: Git (GitHub/GitLab/Bitbucket)
Databases:SQL and NoSQL (e.g., MongoDB, Cassandra)
Cloud: Hands‑on with one or more of AWS, Azure, GCP, specifically AI/ML & data services (e.g., AWS SageMaker, Azure Machine Learning, Google Vertex AI)
Enterprise data engineering platforms:Databricks, Snowflake
Azure AI Foundry:Hands‑on experience required
Preferred qualifications
Vector stores/search: FAISS, Milvus, Weaviate, Pinecone; hybrid (BM25 + vector) retrieval; reranking.
LLMOps/observability: MLflow, LangSmith, OpenTelemetry, Prometheus, dashboards for cost/latency/quality; offline & online eval (e.g., RAGAS/DeepEval style).
Orchestration & data: Airflow/Prefect; Kafka/Event Hubs; Delta/Parquet; Unity Catalog/governance.
Containers & CI/CD: Docker, Kubernetes (AKS/EKS/GKE), GitHub Actions/Azure DevOps; infrastructure as code (Terraform).
Safety & compliance: Content moderation, jailbreak resistance, prompt‑leakage mitigation, red‑teaming, privacy/PII handling.
MLOps patterns: Canary/shadow deployments, feature flags, AB testing, blue‑green rollouts.
Domain experience: Background in complex, datarich industries (e.g., energy, manufacturing, industrial IoT) is a plus.
Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.
About the Company
Here at Brooksource, relationships are at the center of everything we do. Since 2000, we have established and maintained lasting relationships with our clients, consultants, and internal employees to create an unparalleled experience.
Brooksource is a trusted provider of Engineering & Technology solutions for Fortune 500 organizations, specializing in Experience-Driven Staffing, Professional Services, and our innovative Workforce Transformation program, Elevate. Leveraging our partnerships with Salesforce, AWS, Microsoft, ...
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