AI/ML Software Engineer

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $113 000 - $188 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🧑‍💻 Développeur Full-Stack

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Guidehouse

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 2018

🏥 Santé

🎖️ Défense

📦 Logistique

💰 Grant en 2023-02

Healthcare • Defense • Logistics

Guidehouse est un cabinet de conseil international qui propose des services de conseil, digitaux et managés pour les secteurs privé et public. Conçu spécifiquement pour accompagner des industries telles que la sécurité nationale, les services financiers, la santé, l’énergie et les infrastructures, Guidehouse collabore avec des dirigeants pour naviguer dans la complexité et accélérer des transformations qui façonnent l’avenir. Son expertise couvre notamment le data analytics, les technologies digitales, le risk management, et bien plus encore, avec un fort accent sur le développement durable et l’innovation.

Description

• Guidehouse Technology is seeking a highly skilled and motivated AI-focused Software Engineer to join our dynamic team. • In this role, you will work with federal clients to design, develop, and deploy innovative Artificial Intelligence and Machine Learning solutions that address immediate mission challenges. • You will be a key contributor on a team of data scientists, developers, and subject matter experts, applying best practices to build robust AI applications, sophisticated data pipelines, and intelligent systems. • Design, develop, and deploy end-to-end AI/ML applications, with a focus on Retrieval-Augmented Generation systems, AI chatbots, and agentic workflows. • Construct and maintain scalable data pipelines for processing, transforming, linking, and feeding structured and unstructured data into AI models and applications. • Develop machine learning models for risk scoring, anomaly detection, classification, clustering, and predictive analytics to support investigative and operational decision-making. • Apply graph analytics and network analysis techniques to identify hidden relationships among individuals, transactions, locations, organizations, and events. • Implement entity resolution capabilities to match, deduplicate, and link records across large, disparate datasets. • Apply NLP techniques to extract entities, relationships, topics, events, and indicators from unstructured text, documents, case notes, and other mission-relevant data sources. • Collaborate with cross-functional teams to rapidly prototype and iterate on solutions for mission-critical challenges in areas such as fraud detection, trafficking detection, data triage, search and optimization, and automated discovery. • Develop and maintain REST APIs to serve model inferences and integrate AI capabilities into larger systems. • Contribute to the team's software architecture design, ensuring solutions are scalable, reliable, secure, and efficient. • Deploy and manage applications and models in cloud environments, primarily AWS, leveraging infrastructure-as-code and DevOps best practices.

🎯 Exigences

• Bachelor’s degree is required. • Minimum SIX (6) years of hands-on experience with Python and JavaScript and/or TypeScript. • A Master’s degree OR Industry Certification may be substituted for up to two years of relevant professional experience. • Strong hands-on experience with Python for AI/ML application development, data engineering, data analysis, and model implementation. • Proven experience developing RAG applications, including implementing re-ranking strategies. • Experience building AI chatbots or conversational agents. • Hands-on experience with AI application frameworks such as LangChain, Haystack, crewAI, or similar. • Strong knowledge of core Python data science and ML libraries, including NumPy, Pandas, Scikit-learn, NLTK, and OpenCV. • Demonstrated experience developing and applying machine learning models for classification, clustering, risk scoring, anomaly detection, and pattern recognition. • Experience with graph analytics, network analysis, and relationship discovery across complex datasets. • Experience with entity resolution, record linkage, deduplication, identity matching, or similar data matching techniques. • Experience applying NLP techniques such as named entity recognition, text classification, semantic search, information extraction, topic modeling, and relationship extraction. • Familiarity with deep learning frameworks such as PyTorch or TensorFlow. • Experience with search technologies such as Elasticsearch or OpenSearch. • Experience with relational databases, such as PostgreSQL or Oracle DB, and in-memory analytics databases, such as DuckDB. • Strong knowledge of SQL and data modeling techniques. • Experience with cloud SDKs, such as Boto3 for AWS. • Ability to work with large, disparate datasets and uncover hidden patterns, relationships, anomalies, and risk indicators. • Strong analytical, problem-solving, and communication skills, with the ability to translate mission needs into practical AI/ML solutions.

🏖️ Avantages

• Medical, Rx, Dental & Vision Insurance • Personal and Family Sick Time & Company Paid Holidays • Parental Leave • 401(k) Retirement Plan • Group Term Life and Travel Assistance • Voluntary Life and AD&D Insurance • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts • Transit and Parking Commuter Benefits • Short-Term & Long-Term Disability • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities • Employee Referral Program • Corporate Sponsored Events & Community Outreach • Care.com annual membership • Employee Assistance Program • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)