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Recruiting from Scratch LLC
Dallas, TX, United States
Who is Recruiting from Scratch : Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia
Job Source: Recruiting from Scratch LLCDiverse Lynx
Plano, TX, United States
Job Profile : Machine Learning Engineer Job Location : Pleasanton California/ Plano , Tx Job Description: 5+ years proven experience as a Machine Learning Engineer Strong Experience in Client Platform, Spark, Python, SQL Experience with programming languages like Python, Java Strong understanding of data structures and algorithms and understandin
Job Source: Diverse LynxAscendion
Irving, TX, United States
About Ascendion Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise
Job Source: AscendionAscendion
Dallas, TX, United States
About Ascendion Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise
Job Source: AscendionConfiz
Dallas, TX, United States
Bachelor's degree in a technical field with relevant machine learning experience Demonstrated experience in developing and deploying machine learning models Responsibilities The ideal candidate will combine machine learning expertise with software engineering skills to build robust, scalable predictive models Design, build, and deploy machine lear
Job Source: ConfizTrident Consulting
Dallas, TX, United States
Trident Consulting is seeking a "Machine Learning Engineer" for one of our client. A global leader in business and technology services. Job Title: Machine Learning Engineer (Remote) Job Type: Contract Responsibilities: Design machine learning systems Research and implement appropriate Client algorithms and tools Develop machine learning appli
Job Source: Trident ConsultingAscendion
Irving, TX, United States
About Ascendion Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise
Job Source: AscendionQuantum Technologies. LLC
Irving, TX, United States
W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters Job Overview Specialized Area: Machine learning Job Title: Machine Learning Engineer Locatio
Job Source: Quantum Technologies. LLCDallas, TX, United States
Role: Machine Learning Engineer
Work location: DALLAS, TX
JOB DESCRIPTION:
Job Summary.
• Designing and implementing Client infrastructure and tools that support the end-to-end Client development lifecycle.
• Developing and maintaining CI/CD pipelines for Client models and data.
• Collaborating with data scientists and engineers to understand their needs and help them develop, test, and deploy Client models, detect, and correct model drift in the data, enable pre-production testing, and ingest large volumes of structured and unstructured data for modeling.
• Optimizing the performance of Client models in a production environment.
• Ensuring security and compliance of Client systems.
• Strong Data Engineering skills.
• 1-2 years of work experience with MLOps lifecycle management.
• 1-2 years of work experience with workflow platforms such as MLflow.
• 1-2 years of work experience with Docker and containerization.
• 1-2 years of work experience with Kubernetes and container orchestration platforms.
• 1-2 years of work experience with Python, Pyspark or Scala development.
• 1-2 years of work experience with Azure, AWS, Google Cloud, or other cloud computing platforms.
• 1-2 years of work experience with Databricks, Snowflake, Redshift, or other cloud database management platforms.
Role & Responsibilities:
• Work in a collaborative environment with global teams to drive client engagements in a broad range of industries to design and build scalable AI and Machine Learning solutions, solve business problems, and create value by leveraging client data.
• Clean, preprocess, and transform raw data into a suitable format for machine learning models. This may involve tasks like data normalization, feature engineering, and handling missing values.
• Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance. This may involve containerization, API development, and integration with existing systems.
• Assist in the design, development, and implementation of machine learning algorithms and models to solve specific business problems or improve existing processes. Support client and internal team members by contributing to coding, testing, and debugging tasks.
• Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency. This may involve parallelization, distributed computing, and resource management.
• Collaborate with data scientists, software engineers, domain experts, and client stakeholders to understand requirements, gather feedback, and integrate machine learning solutions into larger systems or products.
• Stay updated on the latest advancements in machine learning, MLOps, and related fields, and apply new techniques and technologies to improve existing models or develop innovative solutions.
Qualifications:
• 1 -2 years of industry experience, with work in a quant or data scientist field preferred
• Master's degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field.
• Excellent team-oriented and interpersonal skills, with a strong interest in consulting.
• Outstanding communication skills with the ability to clearly articulate findings and present solutions to business partners.
Preferred Qualifications:
• Experience with one or two of the following: MLOps, Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory, and databases.
• Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
• Experience working with big data distributed programming languages, and ecosystems such as Spark, Hadoop, MapReduce, Pig, Kafka.
• Familiarity with Cloud-based environments such as AWS (S3/EC2), Azure,and Google Cloud.
• Knowledge of other coding languages such as Java, Matlab, SAS, C++.
• Experience with building and deploying predictive and prescriptive analytics models effectively.
Thank you
Machine Learning Engineer jobs in Dallas, TX, United States
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