We are looking for a skilled Senior Data Scientist to join our team on a long-term contract basis in Las Vegas, Nevada. This role requires a deep understanding of advanced analytics and machine learning techniques to drive business success through actionable insights and innovative solutions. You will play a key role in developing models, optimizing processes, and guiding team members to ensure excellence in data-driven decision-making.<br><br>Responsibilities:<br>• Lead complex projects from initial concept through implementation, ensuring measurable business impact.<br>• Develop advanced models for profitability, forecasting, and demand optimization using econometrics and machine learning techniques.<br>• Design and evaluate A/B and multivariate experiments to assess the effectiveness of business initiatives.<br>• Create dashboards, visualizations, and automated reports to communicate insights effectively.<br>• Analyze and validate data integrity, addressing issues such as endogeneity, heteroskedasticity, and autocorrelation.<br>• Identify and implement optimization strategies to drive incremental profit growth.<br>• Provide guidance to team members in data wrangling, model validation, and effective communication of findings.<br>• Research and utilize emerging technologies, including machine learning and generative AI, to enhance analytical capabilities.<br>• Employ cloud platforms such as Databricks for scalable data processing and deployment.
We are looking for an experienced Data Scientist / AI Engineer to join our team in Raleigh, North Carolina. This Contract-to-permanent position offers an exciting opportunity to work on cutting-edge projects involving machine learning, artificial intelligence, and advanced data solutions. The ideal candidate will bring a strong technical background, innovative problem-solving skills, and a passion for leveraging data to drive impactful results.<br><br>Responsibilities:<br>• Design and implement complex Python applications, ensuring scalability and reliability.<br>• Develop and optimize machine learning models, including those based on large language models (LLMs).<br>• Utilize serverless architectures and Amazon Web Services (AWS) to build and deploy data solutions.<br>• Work with chains and vector databases to solve multifaceted problems and enhance data processing capabilities.<br>• Perform ETL processes to transform and load data efficiently while maintaining data integrity.<br>• Collaborate with cross-functional teams to identify opportunities for AI-driven solutions.<br>• Analyze large datasets to extract actionable insights and build predictive models.<br>• Maintain and improve existing data pipelines and frameworks to ensure optimal performance.<br>• Stay updated on emerging trends in AI and machine learning to incorporate best practices into projects.
<p>We are seeking a Data Scientist / Analytics Specialist to leverage advanced analytics and machine learning techniques to extract value from business data and drive strategic decision-making. The ideal candidate will have strong SQL programming experience, expertise in large database systems, and familiarity with modern data science tools and cloud platforms.</p><p>Key Responsibilities:</p><ul><li>Apply advanced analytics methods to extract insights from structured and unstructured data</li><li>Perform large-scale experimentation and build predictive models to answer business questions</li><li>Conduct research on cutting-edge machine learning and AI techniques</li><li>Define requirements for training and evolving deep learning models and algorithms</li><li>Influence product teams through data-driven recommendations and presentations</li><li>Develop and maintain scalable data pipelines and analytics workflows</li><li>Perform other duties as assigned</li></ul><p><br></p>
<p>On behalf of our client in the financial industry, Robert Half is seeking a skilled Data Scientist to analyze large datasets, develop predictive models, and provide actionable insights to drive business decisions. In this role, you will work with structured and unstructured data, applying statistical analysis, machine learning algorithms, and data visualization techniques to solve complex problems. The ideal candidate will have a strong foundation in data analysis, programming (Python, R), experience working with big data tools (Hadoop, Spark) and cloud platforms (AWS, Azure); they will also have a background in financial industries.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Analyze complex datasets to extract meaningful insights and trends.</li><li>Develop and implement machine learning models to solve business challenges.</li><li>Collaborate with cross-functional teams to identify data-driven solutions.</li><li>Create clear and insightful visualizations to communicate findings.</li><li>Continuously improve data collection and processing methods.</li></ul><p><br></p>
We are looking for a skilled AI Engineer to join our dynamic team in New York, New York. This role requires expertise in advanced data platforms and analytics tools, with a focus on leveraging machine learning and data science techniques to drive impactful solutions. If you're passionate about data innovation and have a strong consulting background, we encourage you to apply.<br><br>Responsibilities:<br>• Design, implement, and optimize solutions using Azure Databricks, Data Lake, Synapse, and Spark.<br>• Develop and enforce data governance strategies, including the use of Unity Catalog.<br>• Utilize Python to build, test, and deploy machine learning models and data science workflows.<br>• Collaborate with stakeholders to identify opportunities for AI-driven improvements in business processes.<br>• Maintain and enhance data pipelines to ensure scalability and reliability across projects.<br>• Provide technical leadership and mentorship to team members, ensuring best practices in data engineering and analytics.<br>• Translate complex data problems into actionable insights and solutions for clients.<br>• Stay updated on industry trends and emerging technologies to continuously improve solutions.<br>• Support clients in adopting AI and machine learning tools to address business challenges.
<p>We are seeking a highly skilled and innovative Senior Full- Stack AI / LLM Engineer to join our team and lead the development of cutting-edge AI solutions. This role focuses on building intelligent systems using large language models (LLMs), generative image models, and multimodal AI technologies. You will work across the stack—from model integration and orchestration to deployment and automation—helping us deliver scalable, production-grade AI applications.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, and deploy Python-based microservices and APIs for AI-powered applications.</li><li>Integrate and fine-tune LLMs from providers such as OpenAI, Anthropic, Meta, and Mistral.</li><li>Build Retrieval-Augmented Generation (RAG) pipelines using frameworks like LangChain or LlamaIndex.</li><li>Implement semantic search and vector database solutions using Pinecone, Weaviate, Chroma, Milvus, or Supabase.</li><li>Develop and integrate TTS/STT systems using tools like OpenAI Whisper, Coqui TTS, and ElevenLabs.</li><li>Work with generative image models including GPT-Image-1, Stable Diffusion, and ComfyUI.</li><li>Automate workflows using orchestration platforms such as n8n, Make, or Zapier.</li><li>Deploy AI services on cloud platforms (GCP, AWS, or Azure) with scalability and reliability in mind.</li><li>Apply prompt engineering best practices to optimize model performance and output quality.</li><li>Collaborate with cross-functional teams including product, design, and data science to deliver impactful AI features.</li></ul>
<p>Robert Half has an exciting opportunity with a reputable Biotech in Brisbane. Our client is a leader in supporting individuals who have recently gone through a transplant operation. Their goal is to make the lives of all of their patients easier and more comfortable.</p><p><br></p><p>They are in immediate need for a Lab Assistant for their R& D department. This role require very strong attention to details and a meticulous approach to handling specimens. If you feel you are up to the task, please see the job details below. If interested, apply now! We are looking to get someone started ASAP! Do not wait! Apply now!</p><p><br></p><p><strong>Accessioning </strong></p><ul><li>Receive and record samples into the laboratory information management system (LIMS) to facilitate sample throughput. </li><li>Data entry of sample data </li><li>Post-accessioning quality checks of data entry and received documents </li></ul><p><strong>Lab Assistance </strong></p><ul><li>Perform patient specimen processing under the direction from of a R& D scientist or manager. </li><li>Perform routine laboratory maintenance tasks and setting up consumables in preparation of laboratory testing. </li><li>Perform instrument calibrations and maintenance, as applied. </li><li>Participate in materials management activities which includes tasks such as ordering, receiving, unpacking, documentation and labeling of consumables and reagents, and stocking work areas. </li><li>Perform testing for special research and development studies and in continuous improvement activities/projects. </li></ul><p><strong>Other responsibilities:</strong> </p><ul><li>Participate in quality control and quality assurance activities. </li><li>Perform data entry and maintain spreadsheets </li><li>Comply with company quality control policies and document QC activities </li><li>Maintain confidentiality of personal health information (PHI). </li><li>Identify problems that may affect assigned duties, and following established protocols, correct problems or escalate to R& D Scientist, R& D Laboratory Manager, or R& D Manager/Director. </li><li>Comply with all local, state, and federal laws and regulations governing clinical laboratory operations. </li></ul><p><br></p>
<p>Robert Half has an exciting opportunity with a reputable Biotech in Brisbane. Our client is a leader in supporting individuals who have recently gone through a transplant operation. Their goal is to make the lives of all of their patients easier and more comfortable.</p><p><br></p><p>They are in immediate need for a Lab Assistant for their R& D department. This role require very strong attention to details and a meticulous approach to handling specimens. If you feel you are up to the task, please see the job details below. If interested, apply now! We are looking to get someone started ASAP! Do not wait! Apply now!</p><p><br></p><p><strong>Accessioning </strong></p><ul><li>Receive and record samples into the laboratory information management system (LIMS) to facilitate sample throughput. </li><li>Data entry of sample data </li><li>Post-accessioning quality checks of data entry and received documents </li></ul><p><strong>Lab Assistance </strong></p><ul><li>Perform patient specimen processing under the direction from of a R& D scientist or manager. </li><li>Perform routine laboratory maintenance tasks and setting up consumables in preparation of laboratory testing. </li><li>Perform instrument calibrations and maintenance, as applied. </li><li>Participate in materials management activities which includes tasks such as ordering, receiving, unpacking, documentation and labeling of consumables and reagents, and stocking work areas. </li><li>Perform testing for special research and development studies and in continuous improvement activities/projects. </li></ul><p><strong>Other responsibilities:</strong> </p><ul><li>Participate in quality control and quality assurance activities. </li><li>Perform data entry and maintain spreadsheets </li><li>Comply with company quality control policies and document QC activities </li><li>Maintain confidentiality of personal health information (PHI). </li><li>Identify problems that may affect assigned duties, and following established protocols, correct problems or escalate to R& D Scientist, R& D Laboratory Manager, or R& D Manager/Director. </li><li>Comply with all local, state, and federal laws and regulations governing clinical laboratory operations. </li></ul><p> </p><p><br></p>
<p>Our team is continuing to grow our Data Governance and Quality program to meet current and future business needs. The Data Governance and quality team is seeking a data analyst/developer to work in the Enterprise Data Governance team to gather analyze and document datasets to help build artifacts for the Data User Community. Work under the guidance of the Data Catalog Program lead to perform tasks that will enable the further development of the Data Catalog.</p><p><br></p><p> This assignment will require the candidate to work seamlessly with members of the Data Governance Quality organization and our business partners.</p><p> - Documenting business glossary terms and definitions for master data elements.</p><p> - Opportunity to develop Data Governance dashboards and visualizations. </p><p> - Support project deliverables to further support Data catalog MDM</p><p><br></p><p> Role Development</p><p> - Builds data governance and quality competency where applicable for the entire enterprise. </p><p> - Supports Data Governance collaboration and alignment with master data data analytics and other DT process teams. RTX and within the Data Platforms organization. </p><p> - Exposure to multiple business units Avionics Mission Systems Information management systems and shared serves in multiple values streams such as Strategic Financial Planning Pursuit to Order Capture Design Development Produce to Deliver and Service Support.</p>
We are looking for an experienced Senior Software Engineer specializing in Machine Learning to lead the development of innovative AI-driven services. This role focuses on building scalable systems and production-ready machine learning pipelines that transform raw data into actionable insights. If you have a strong background in backend development, AI/ML systems, and are passionate about delivering high-quality solutions, this position offers an exciting opportunity to make a meaningful impact.<br><br>Responsibilities:<br>• Architect and implement robust ingestion pipelines to process raw documents into structured Neo4j knowledge graphs.<br>• Develop and refine Python-based microservices using FastAPI to support ingestion and question-answering endpoints.<br>• Optimize retrieval and Q& A workflows to enhance performance, reduce costs, and ensure maintainability.<br>• Investigate and implement approaches for managing conflicting, incomplete, or time-sensitive information.<br>• Collaborate with researchers to integrate experimental AI strategies into production-grade systems.<br>• Maintain high standards of code quality through rigorous testing, documentation, and monitoring.<br>• Scale services from prototypes to fully operational production systems that meet enterprise needs.
We are looking for a Computer Vision Engineer to join our innovative team in Cambridge, Massachusetts. In this role, you will contribute to the development of AI-driven solutions for manufacturing facilities, focusing on visual inspections and task tracking. This is a mid-level position ideal for professionals who excel in building production-ready environments and implementing computer vision models from scratch.<br><br>Responsibilities:<br>• Develop and implement computer vision models using frameworks such as PyTorch and TensorFlow.<br>• Analyze camera feeds to detect anomalies and defects in manufacturing processes and provide real-time updates.<br>• Build supervised and unsupervised learning models tailored to production environments.<br>• Set up and maintain cloud-based servers, including EC2 instances and S3 storage.<br>• Collaborate with the engineering team to design robust AI solutions for visual inspections and task tracking.<br>• Optimize algorithms for object detection and template matching to improve accuracy and efficiency.<br>• Work on deploying production-grade code and integrating it seamlessly into manufacturing workflows.<br>• Conduct testing and validation of models to ensure reliability in real-world applications.<br>• Utilize Python for scripting and automation tasks related to data processing and model deployment.<br>• Participate in quarterly onsite meetings to align with project goals and team objectives.
