artificial intelligence engineer

job summary: Skills: - Verbal and written communication skills, problem solving skills, customer service and interpersonal skills. - Ability to work independently and manage one's time. - Basic mentoring skills necessary to provide support and constructive performance feedback. - Knowledge of the full software development lifecycle: from business/systems analysis, through requirements gathering and functional specification authoring, to development, testing and delivery. - Ability to troubleshoot issues and make system changes as needed to resolve issue. - Knowledge of computer hardware and software. - Knowledge of computer development software as it relates to systems, such as SQL, VisualBasic, etc.   location: Beaverton, Oregon job type: Contract salary: $51.88 - 61.88 per hour work hours: 8am to 5pm education: Bachelors   responsibilities: Job Responsibilities: - Modify existing databases and database management systems. - Write and code logical and physical database descriptions and specify identifiers of database to management system or direct others in coding descriptions. - Work as part of a project team to coordinate database development and determine project scope and limitations. - Review project requests describing database user needs to estimate time and cost required to accomplish project.   qualifications: Experience level: ExperiencedMinimum 7 years of experienceEducation: Bachelors  skills: Professional EngineerSoftware ArchitectureResearch & Development Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility). This posting is open for thirty (30) days.

job summary: Hybrid with a top law firm in Chicago! Pension and great benefits! Work 35 hours = Full Time Salary! -Warm, energetic, trusting team -Great opportunity to work at a larger firm with a great reputation. - This role is focused on transforming the entire business using AI - This role is the equivalent of what emerging tech or innovation teams would prototype elsewhere. - This team is innovating and bringing in new tech and rolling it out into production immediately. - This business is invested in AI and stakeholders want to transform our company using AI, creating new work products, for Marketing Finance, L&D, IT, HR etc. - Hiring Manager Management Style: He believes he is here to trust and empower and provide support. He hires people that are intrinsically motivated, take pride in their work, and want to move their career forward. Not a micro-manager, and not authoritative. Summary: The AI Engineer, a member of the AI Engineering team, is responsible for developing and implementing cutting-edge legal AI solutions that drive efficiency, improve decision making, and provide valuable insights across various administrative business groups and legal practices. This role will leverage expertise in AI engineering, natural language processing, and machine learning to design, develop, and deploy innovative solutions that capitalize on both structured and unstructured data. Duties and Responsibilities: Prototype and test AI solutions using Python and Streamlit with a focus on natural language processing and text extraction from documents (PyPDF, Azure Document Intelligence)Develop plugins and assistants using LangChain, LlamaIndex, or Semantic Kernel, with expertise in prompt engineering and semantic function designDesign and implement Retrieval Augmented Generation (RAG) stores using a combination of classic information retrieval and semantic embeddings stored in vector and graph databasesDevelop and deploy agents using AutoGen, CrewAI, LangChain Agents, and LlamaIndex AgentsUse Gen AI to distill metadata and insights from documentsFine tune LLMs to optimize for domain and costCollaborate with stakeholders to implement and automate AI powered solutions for common business workflowsEnhance documentation procedures, codebase, and adherence to best practices to promote and facilitate knowledge sharing and ensure the upkeep of an organized and reproducible working environment   location: Chicago, Illinois job type: Permanent salary: $160,000 - 200,000 per year work hours: 9am to 5pm education: Bachelors   responsibilities: Prototype and test AI solutions using Python and Streamlit with a focus on natural language processing and text extraction from documents (PyPDF, Azure Document Intelligence)Develop plugins and assistants using LangChain, LlamaIndex, or Semantic Kernel, with expertise in prompt engineering and semantic function designDesign and implement Retrieval Augmented Generation (RAG) stores using a combination of classic information retrieval and semantic embeddings stored in vector and graph databasesDevelop and deploy agents using AutoGen, CrewAI, LangChain Agents, and LlamaIndex AgentsUse Gen AI to distill metadata and insights from documentsFine tune LLMs to optimize for domain and costCollaborate with stakeholders to implement and automate AI powered solutions for common business workflowsEnhance documentation procedures, codebase, and adherence to best practices to promote and facilitate knowledge sharing and ensure the upkeep of an organized and reproducible working environment   qualifications: Experience level: ExperiencedMinimum 5 years of experienceEducation: Bachelors (required)  skills: Pythonlangchainsemantic kernelLlamaIndexLarge Language ModelsAIGPT Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility). This posting is open for thirty (30) days.

job summary: Looking for a Senior Computer Vision ML Engineer with over 8 years of experience specializing in building and deploying scalable AI/ML systems based on image recognition and computer vision. Proven track record of leading projects from conception to deployment, collaborating with cross-functional teams, and implementing high-performance machine learning pipelines. Expertise in building Gen AI products, Computer vision, LLM systems, and search-driven applications. Skilled in leveraging advanced technologies like vision models & GPT4 models, hybrid search techniques, and scalable infrastructure across cloud platforms such as Azure   location: Dallas, Texas job type: Contract salary: $80 - 90 per hour work hours: 8am to 4pm education: Bachelors   responsibilities: Building computer vision algorithms for tasks such as object detection, image segmentation, pose estimation and scene understanding.5+ years of experience in computer vision and machine learning including deploying models in production.Fine-tuning open-source models and deploying them for real-world applications.Experience with OpenAI models (e.g., GPT-4) vision models.Expertise in implementing hybrid search and retrieval-augmented generation (RAG) techniques.Advanced testing and evaluation of different chunking strategies for optimized performance.Experience with computer libraries such as OpenCV, DLIB or similar.Proficient in designing and implementing deep learning architectures (e.g, CNNs, RNNs, transformers).Experience with Azure cloud platforms and containerization tools like Docker and Kubernetes.Familiarity with ML lifecycle tools (e.g., MLflow, DVC).Deep knowledge of Azure AI studio.Understanding LLM, RAG and Gen AI concepts.Hands-on experience with building and managing large-scale machine learning systems.Deep knowledge of infrastructure-side challenges, such as scaling models, load testing, and ensuring high availability.strong focus on performance optimization, continuous integration, and improving ML systems for deployment at scale.Extensive experience leading machine learning projects end-to-end, from design and development to deployment and monitoring.Collaborates closely with stakeholders, ML engineers, data scientists, and DevOps teams to ensure successful project delivery.Builds out evaluation frameworks that incorporate user feedback from logging and fine-tuning model performance accordingly.Building robust data pipelines for machine learning models, ensuring that data is clean, properly preprocessed, and available for model training and deployment.Expertise in automating ML pipelines using Airflow and optimizing workflows in distributed environments.Experience in integrating and managing large datasets for training complex models, including deep learning frameworks. Technologies and Tools: AI/ML Frameworks: OpenAI GPT-4 Vision models, Fine-tuning open-source models, RAG (Retrieval Augmented Generation)Computer Vision Libraries: Open CV, DLIB, SimpleCVCloud Platforms: Azure, AWSData and Workflow Tools: Databricks, Apache AirflowProgramming Languages: Python, SQL, C++Model Deployment & Optimization: ONNX, TensorRT, Docker, Kubernates, Fast APIOther Tools: Model performance evaluation frameworks, logging and monitoring tools Other Soft Skills: strong communication and leadership abilities, effectively working with technical and non-technical stakeholders.Capable of owning projects end-to-end while balancing multiple priorities and ensuring timely delivery.Adept at problem-solving in dynamic environments, constantly learning and applying cutting-edge AI and ML techniques to improve product offerings.   qualifications: Experience level: ExperiencedMinimum 5 years of experienceEducation: Bachelors  skills: Machine Learning Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility). This posting is open for thirty (30) days. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.