machine learning engineer

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.

job summary: Randstad Federal is seeking a Data Scientist to support a program at DEA   location: BELTSVILLE, Maryland job type: Contract salary: $80 - 90 per hour work hours: 8am to 4pm education: Bachelors   responsibilities: Summary: The ideal candidate is a highly skilled professional who uses their expertise in data analysis, statistical modeling, and machine learning to extract insights and solve complex problems. Responsibilities: Data Analysis and Modeling: - Collect, clean, and preprocess large datasets from various sources. - Apply statistical techniques and data mining algorithms to analyze data and identify patterns, trends, and relationships. - Develop and implement predictive models, machine learning algorithms, and statistical models to solve business problems and generate actionable insights. Machine Learning and AI: - Design and develop machine learning models and algorithms to solve specific business challenges. - Train, validate, and optimize models using appropriate techniques such as cross-validation and hyperparameter tuning. - Deploy models into production environments and monitor their performance. Data Visualization and Reporting: - Communicate complex data analysis results and insights to non-technical stakeholders through clear and visually appealing data visualizations, reports, and presentations. - Collaborate with cross-functional teams to understand their data needs and provide data-driven recommendations. Data Exploration and Feature Engineering: - Conduct exploratory data analysis to understand the characteristics and quality of the data. - Identify and engineer relevant features from raw data to improve model performance and accuracy. Collaboration and Communication: - Collaborate with data engineers, software developers, and domain experts to gather requirements, define data needs, and implement data-driven solutions. - Communicate findings, methodologies, and insights to both technical and non-technical audiences effectively. Requirements: strong knowledge of statistical analysis, machine learning algorithms, and data modeling techniques.Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).Experience with data visualization tools (e.g., Tableau, matplotlib, ggplot) to effectively communicate insights.Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is desirable.strong problem-solving skills, critical thinking, and the ability to work on complex projects independently.Excellent communication and presentation skills to convey complex concepts to both technical and non-technical stakeholders. Education/Experience: Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or related disciplines. A Ph.D. is a plus. (4 years' experience is the equivalent to a bachelor's degree, 8 years is equivalent to a Master's)5+ years of relevant work experience in data analytics.   qualifications: Experience level: ExperiencedMinimum 5 years of experienceEducation: Bachelors  skills: Data Warehouse 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.

job summary: Randstad Digital is hiring and we're looking for someone like YOU to join our team! If you are seeking a new opportunity, looking to grow in your career, or you know someone who is - we want to hear from you! Take a look at the below opportunity, or feel free to visit RandstadUSA.com to view and apply to any of our open roles.   location: Phoenix, Arizona job type: Contract salary: $64.53 - 69.53 per hour work hours: 8am to 5pm education: Bachelors   responsibilities: Java Microservices with Spring Boot and Cloud Technologies like PCF and OpenShift. Any knowledge of AI related to Data Pipeline would be a plus. In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Required Qualifications: 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.   qualifications: Experience level: ExperiencedMinimum 5 years of experienceEducation: Bachelors  skills: Professional EngineerJavaopen shiftmicroservices 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.