Fetching information
Preparing content
A fast-growing, mission-driven tech company in the behavioral modeling and personalization space is seeking a Senior Staff/Technical Lead Machine Learning Engineer to join and lead a team. Hands-on experience with orchestration tools ( Airflow , Bazel ), data infrastructure ( Spark , SQL , Scala , or Python ). Familiarity with cloud platforms (AWS, Databricks) and ML tooling (MLFlow, TensorFlow, Kubernetes). Fully Remote (with hybrid options in Boston, SF Bay Area, Seattle, NYC).. Machine Learning Engineering, AdTech, Personalization, Recommender Systems, MLOps, CI/CD, Airflow, Spark, Python, AWS
Our backers include those who were among the first to believe in SpaceX and Uber and those who have built businesses worth in excess of $20B from scratch. You should have expertise in signal processing for machine learning. Digital Signal Processing.. and MATLAB.Familiar with frameworks like TensorFlow, PyTorch, or scikit-learn. Comfortable with signal processing tools such as SciPy, Librosa, or custom DSP pipelines.
The laboratories of Dr. Shyamal Mosalaganti and Dr. Herman Fung at the Life Sciences Institute (LSI) are looking for an Artificial Intelligence and Machine Learning (AI/ML) scientist to develop advanced computer vision workflows to support the identification of biomolecules in cryo-electron tomography (cryo-ET) image volumes and to support the registration of multimodal images for automated adaptive microscopy.. Ph. D. in Computer Science, Engineering, Biology, or a related field with a focus on machine learning or computer vision. Minimum 5 years in multimodal image analysis OR deep learning for image analysis. Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or Keras. The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks.
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem.. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us.. In this role, you will: Contribute to novel image processing, defect detection and analysis, and optimization algorithms balancing sophistication and computational complexity through comprehensive data analysis.. Image Processing, Computational Imaging, Computer Vision; Practical experience with Deep Learning, Machine Learning, or Artificial Intelligence, for images, is preferred; Capable of prototyping Algorithms using MATLAB or Python, and implementing algorithms in C. Linear and Nonlinear Optimization techniques, CUDA/GPU Programming frameworks (e.g., TensorFlow), and Data Analysis and Visualization tools.
Position Summary Deep Learning Data Science Manager SFL Scientific, a Deloitte Business practice brings together several key capabilities to architect integrated programs that transform our clients' businesses, including Strategic Growth Transformation, Transformation Strategy & Design, Technology Strategy & Business Transformation, and AI & Data Strategy.. We are hiring a Data Science Manager to support the technical design, development, and deployment of novel AI solutions across healthcare, life sciences, manufacturing, energy, and other sectors.. Mentor, motivate and coach junior data scientists on technical best practices and inspire professional development The Team SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI).. Qualifications: Master’s or Ph. D degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.). 6+ years of experience working in data science, data engineering, software engineering, or MLOps 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models 6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.)
Domain Exposure: Healthcare, Telecom, IT/Software. 3+ years of professional experience with machine learning or 8+ years of research experience. Experience with a machine learning platform such as: TensorFlow, Caffe, Keras, or Encog. Solid understanding of machine learning techniques and algorithms, such as HMM, neural networks, deep learning, etc.. Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status.
Role Summary Censys is looking for a Senior Machine Learning Engineer to join our team and help us derive valuable insights from internet security datasets.. You will engineer and optimize this platform to support a diverse range of machine learning applications, including computer vision, natural language processing, and reinforcement learning, ensuring seamless deployment and scalability.. What You’ll Do Deploy and maintain containerized workloads to support machine learning development, deployment, and post-deployment monitoring.. Collaborate with cross-functional teams to design data pipelines that can efficiently process petabytes of raw internet security data.. Experience working with cloud platforms like AWS, GCP, and Azure.
Minimum Requirements 3+ years of professional experience with machine learning or 8+ years of research experience. Experience with a machine learning platform such as: TensorFlow, Caffe, Keras, or Encog. Solid understanding of machine learning techniques and algorithms, such as HMM, neural networks, deep learning, etc.. Good applied statistics skills, such as distributions, statistical testing, regression, etc.. Nor will BLOCKCHAIN TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
Specialized Area: Machine learning. Domain Exposure: Healthcare, Telecom, IT/Software. 3+ years of professional experience with machine learning or 8+ years of research experience. Experience with a machine learning platform such as: TensorFlow, Caffe, Keras, or Encog. Solid understanding of machine learning techniques and algorithms, such as HMM, neural networks, deep learning, etc.
Minimum Skills required: 4+ years of development experience with Hadoop ecosystem (Spark, Scala, Oozie, Pig, Hive, HDFS, MapReduce) and/or NoSQL technologies such as Cassandra, MongoDB with experience on real-time & stream processing systems.. Excellent knowledge of Core Java or UNIX shell script or PL/SQL stored procedures is required.. Strong foundational knowledge and experience with a range of Big Data components such as Hadoop/Yarn, HDFS, MapReduce, Oozie, Falcon, Pig, Hive, Zookeeper, Sqoop, and Flume.. Develop Pig scripts/Hive QL for analyzing all semi-structured/unstructured/structured data flows.. Should have knowledge of Table definitions, file formats, UDF, Data Layout (Partitions & Buckets), Debugging & performance optimizations.
Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions. Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch. Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively. Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc. Familiarity with natural language processing (NLP) and computer vision techniques.
Develop and architect Generative AI models using the latest LLM’s, machine learning (ML) frameworks and tools such as the Azure AI platform, PyTorch, and Scikit-Learn. Stay updated on the latest advancements in AI, machine learning, and deep learning, including Natural Language Processing (NLP), Computer Vision, and reinforcement learning. 5+ years of experience in programming languages such as Python, R, or Java. Experience working with RAG technologies and LLM frameworks (Langchain, Claude and LLamaIndex), LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS, Milvus, OpenSearch, Pinecone etc. At Plante Moran, diversity, equity and inclusion means that all staff members have equitable and fair opportunities to succeed, in an inclusive environment, with their individual, unique identities.
Minimum Requirements 3+ years of professional experience with machine learning or 8+ years of research experience. Experience with a machine learning platform such as TensorFlow, Caffe, Keras, or Encog. Solid understanding of machine learning techniques and algorithms, such as HMM, neural networks, deep learning, etc.. Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status.. Nor will QUANTUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
Are you interested making a difference by applying your software and signal processing skills toward state-of-the-art research and development problems?. Working with teams on the research, design, and development of sensor exploitation systems including signal processing, automatic target recognition, fusion, and performance modeling.. Bachelor’s degree with 2+ years or Master's degree with experience in Computer Science, Electrical Engineer, Physics, or Applied Mathematics.. Experience in designing and implementing algorithms involving one or more of the following: classification, clustering, computer vision, deep learning, decision making, AI explainability, stochastic processes, detection and estimation theory, information theory, Bayesian inference of time varying systems, tracking and data fusion. Have experience developing AI/ML research prototypes in code, using scikit-learn, Tensorflow, PyTorch, or similar machine learning frameworks in Python
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making.. - Proven track record of hands-on experience in architecting, delivering, and managing AI and machine learning solutions, particularly with orchestrated LLM applications. - Proven specialization in Python, Pandas, Scikit-learn, PyTorch, Langchain, Semantic Kernel, SQL, vector DBs, LLMs, and prompt engineering. - Proven specialization with major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud foundational certifications highly desirable. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.
Demonstrated experience developing and applying various machine learning algorithms (e.g., regression, classification, clustering, tree-based methods, ensemble methods).. Experience with data visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly in Python; ggplot2 in R; Tableau, Power BI).. Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and their data/ML services.. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).. 4+ years of experience working as a Data Scientist, AI/ML Developer or in a similar role.
Skillsets: Python, stremlit , LLM, Generative AI, deep learning, flask, NLP. Design and develop software applications, algorithms, and models utilizing advanced AI techniques such as machine learning, natural language processing, computer vision, and predictive analytics.. Strong understanding of AI concepts and algorithms, including machine learning, deep learning, reinforcement learning, and natural language processing.. Skills Mandatory - Python, stremlit , LLM, Generative AI, deep learning, flask, NLP. Certifications in relevant technologies or methodologies (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure AI Engineer).
3+ years' experience (2 years with MS) as a data scientist, research scientist, AI analyst, ML engineer, or related role.. Expertise across multiple domains of forecasting, clustering, classification, econometrics, optimization, Bayesian statistics, neural networks, deep learning, natural language processing, LLMs, generative AI, and/or other machine learning and AI methodologies.. Experience with SQL, Databricks and/or other cloud-based data science platforms preferred.. Experience with data visualization tools (e.g., Tableau, Power BI) to effectively communicate insights.. Ability to prioritize and manage multiple tasks and projects at once without sacrificing qualityAdditional Job DescriptionWhat Can Give You a Competitive Advantage (Preferred Qualifications)Databricks experience.
Since 2010, SynergisticIT has helped thousands of candidates find jobs with major tech companies like Apple, Google, PayPal, Western Union, Client, Visa, Walmart Labs, and more.. Synergisticit at Gartner Data & Analytics summit. Familiarity with Spring Boot, Microservices, and REST APIs. Knowledge of Statistics, Python, and data visualization tools.. For Data Science/Machine Learning roles: NLP, text mining, Tableau, and time series analysis.
Job Title Akkodis is recruiting for an AI/Robotics Engineer for a manufacturer in the Warren, MI area. Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) for training and deploying machine learning models on embedded systems. and deep learning frameworks (TensorFlow, PyTorch). Experience with SLAM (Simultaneous Localization and Mapping) and multi-sensor fusion for improved navigation and localization. Experience with GPU programming and CUDA for accelerating AI model inference.