AI/ML Engineer

Job not on LinkedIn

🔥 0 minutes ago

⚜️ Louisiana – Remote

⚜️ Louisiana – Remote

💵 $195.2k - $264.1k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 Machine Learning Engineer

👻 Ghost score 9%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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LouisianaNOW.Jobs

WebsiteLinkedInAll Job Openings

51 - 200 employees

🎯 Recruiter

🏪 Marketplace

Recruitment • Marketplace

LouisianaNOW. Jobs is a regional jobs portal and talent attraction site focused on connecting job seekers to employers and economic opportunities across Louisiana. The site highlights regional communities, industry sectors, current employers who are hiring, career advice articles, and job listings, and appears to be operated or supported by LED FastStart (Louisiana Economic Development). It’s positioned as a marketplace that promotes Louisiana’s growing industries and helps match talent with local openings and employer investment announcements.

📋 Description

• Define and execute AI/ML strategy aligned with CMM modernization objectives • Design, develop, deploy, and maintain ML, predictive, forecasting, Generative AI, Agentic AI, and advanced analytics solutions • Build and tune models using appropriate algorithms, architectures, and data pipelines • Develop LLM-powered applications, RAG pipelines, AI agents, and intelligent automation capabilities • Apply statistical and advanced analytics methods for data-driven decision-making • Evaluate foundation models, commercial/open-source models, and emerging AI technologies • Create proof-of-concepts and transition successful models to production • Document AI/ML architecture, methodologies, features, and validation results • Automate model deployment, monitoring, versioning, lineage, and lifecycle management • Build and maintain MLOps/LLMOps pipelines integrated with CI/CD and DevSecOps • Implement automated model training, testing, validation, deployment, rollback, and alerting • Monitor model performance, drift, and degradation; trigger retraining as needed • Maintain reproducible environments and support scalable cloud deployment • Integrate AI/ML pipelines with data engineering and cloud platform services • Ensure transparency, fairness, explainability, security, and privacy in AI/ML capabilities • Perform bias assessments, model risk evaluations, bias mitigation, and explainability assessments • Lead ATO impact analysis and support security, privacy, and authorization reviews • Maintain the AI/ML Capability Register, model cards, governance artifacts, and lifecycle documentation • Identify AI risks such as hallucination, prompt injection, data leakage, misuse, and drift; implement safeguards and monitoring • Partner with analysts, engineers, architects, governance, cybersecurity, and business stakeholders • Translate business problems into AI/ML use cases and technical solutions • Assess data readiness and ensure data ownership, quality, and lineage • Develop standards, reusable patterns, and best practices • Recommend AI/ML tools, cloud services, and SDLC automation opportunities • Mentor teams on AI/ML development and Responsible AI practices • Communicate technical findings to technical and non-technical audiences

🎯 Requirements

• BA/BS or equivalent required; MA/MS strongly preferred • 15+ years of general information systems experience, including at least 10+ years of specialized experience • Experience may be considered in lieu of degree: HS with 19+ years, AA/AS with 17+ years, BA/BS with 15+ years, MA/MS with 13+ years, or Doctorate/Ph.D. with 12+ years • Expertise in machine learning, deep learning, and natural language processing techniques • Experience in AI/ML engineering, machine learning, data science, or advanced analytics • Strong proficiency with Python, SQL, TensorFlow, PyTorch, scikit-learn, XGBoost, AWS SageMaker, Bedrock, Azure ML, and GCP Vertex AI • Experience implementing MLOps pipelines and integrating ML workflows into CI/CD environments • Knowledge of FedRAMP, FISMA, and NIST AI RMF • Understanding of data governance, model monitoring, and ethical AI practices • Strong analytical, advisory, presentation, communication, problem-solving, and customer relationship skills • Experience identifying and applying industry tools, solutions, methods, best practices, and emerging technologies • Ability to work effectively independently and as part of a team • Familiarity with Generative AI for content generation, summarization, and development assistance • Experience applying predictive analytics to performance monitoring, test optimization, and resource planning • Experience with vector databases, LLM fine-tuning, RAG pipelines, prompt engineering, and/or Agentic AI architectures • Experience with MLOps/LLMOps, MLflow, model deployment, versioning, monitoring, and lifecycle management • Experience with Generative AI/LLM frameworks including LangChain, vector databases, and OpenAI/Azure • Must be able to pass a background check to obtain Public Trust • Must be a US Person: Green Card Holder, US Permanent Resident Alien, Refugee, Asylee, or US Citizen • Preferred experience leading federal or judiciary AI/ML modernization programs • Preferred background in data visualization and explainable AI methods • Preferred certifications include Tableau, Power BI, CDMP, Snowflake, Databricks, AWS, Google ML Engineer, AIGP, NIST AI RMF, SAFe, PMP, or ITIL 4 Foundation

🏖️ Benefits

• AI-powered career tool identifying career steps and learning opportunities • Internal mobility team supporting career goals • Comprehensive benefits and wellness packages • 401(k) with company match • Competitive pay • Paid time off • Medical plan options, including plans with Health Savings Accounts • Dental plan options • Vision plan • Full flex work weeks where possible • Vacation, sick, personal, holiday, parental, military, bereavement, and jury duty leave • Typically 15 days of paid leave per calendar year • 10 paid holidays per year • Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees • Short- and long-term disability benefits • Life insurance • Accidental death and dismemberment insurance • Personal accident insurance • Critical illness insurance • Business travel and accident insurance • Award-winning culture of innovation • Military-friendly workplace