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The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer.. 8+ years of relevant data science experience in an applied role – preferable w/in retail, logistics, supply chain or CPG with a focus on NLP and AI. Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, Ads Data Hub, BIQuery, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK. Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse, MLOps, GitHub. Solid experience working with large datasets and developing ML/AI systems such as: natural language processing, speech/text/image recognition, supervised and unsupervised learning models, forecasting and/or econometric time series models
Experience working with LLM technologies, including developing generative and embedding techniques, modern model architectures, retrieval-augmented generation (RAG), fine tuning / pre-training LLM (including parameter efficient fine-tuning), and evaluation benchmarks.. Ability to write clean, expressive code in Python, use of open source frameworks such as TensorFlow, PyTorch, scikit learn) and or other tools including PySpark, Scala etc. Experience with SQL and reading from relational databases, experienced using cloud computing ecosystems (e.g., AWS, GCP).. Experience with the practical application of computational statistics and complex ML algos including deep learning, GraphDB SVMs, time series forecasting etc. Fundamental understanding of the mathematical workings of standard feature engineering, dimension reduction, machine learning algorithms and model validation & measurement
I developer / Machine Learning Engineer Fulltime Local to Bay Area Preferred s an ML Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products and services.. To be successful, you must possess exceptional skills in programming, as well as an understanding of data science and software engineering using ML frameworks for Natural Language Processing (NLP).. Keep abreast of the latest AI models (LLMs and others) and techniques in NLP. Fine-tune, prompt-train, train and retrain open-source AI models on customer data.. Identify the best available open-source AI models, libraries, and approaches to NLP. Run machine learning tests and experiments to update and improve ITSoli's accelerators.. Requirements and skills Proven experience as a Machine Learning Engineer or similar role with NLP. bility to write robust code in Python, Java, and R Familiarity with machine learning frameworks (like Keras or PyTorch), libraries (like scikit-learn) and LLMs. Excellent communication skills.
Whether you are looking for the nearest gas station, finding a transit route that gets you to the big game before kickoff, or selecting a peculiar restaurant for dinner with friends, you are relying on information and features from the Maps Engineering Team. At Apple, our team provides the foundation for building extraordinary customer experiences, with features that have become an indispensable part of so many lives around the world.. We are looking for a Machine Learning Scientist/Engineer who takes full ownership of projects end to end, from initial data mining and research to prototyping, development, and final integration of AI/ML data solutions into production code that reaches millions of users.. Strong programming skills and hands-on experience with machine learning tools and libraries such as PyTorch, TensorFlow, Scikit-learn; programming skills in Python, Scala, Java, or C. Knowledge of Spark, Apache Hadoop, Solr/Lucene, Cassandra, and related big data technologies Preferred Qualifications. Masters or PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields.
As a Staff Applied Scientist, you will develop innovative solutions for Recommendations, focusing on deep learning in areas like NLP, Representation Learning, Clustering, Optimization, Graph Learning, and Reinforcement Learning to enhance the Etsy buyer/seller experience.. This is a full-time position reporting to the Engineering Manager, with eligibility for equity, bonuses, and comprehensive benefits.. Proven project management skills, experience applying deep learning to real-world problems, extensive knowledge across the ML stack, leadership in unconstrained problems, large-scale data manipulation, strong coding skills (Python, Scala, Java), and excellent communication skills.. Requirements include 5+ years in applied machine learning, an advanced degree (preferred), and experience with cloud platforms, representation learning, ANN search, and frameworks like Spark, Airflow, Kubeflow, TensorFlow, or PyTorch.. We support accommodations for disabilities and visa sponsorship where applicable.
Join to apply for the Machine Learning Engineer II role at Lessen. Summary: The Machine Learning Engineer II role is part of the Technology Team, which is responsible for providing industry-leading machine learning-based tools or processes to the Company, offering a competitive advantage and efficiency.. You will work closely with cross-functional teams to build intelligent systems that solve real-world problems using machine learning, deep learning, and data science techniques.. Use machine learning/deep learning to enhance and automate processes in proprietary tools.. Get notified about new Machine Learning Engineer jobs in Chicago, IL.
Role: Machine Learning Engineer. Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our premier client.. adidevtechnologies.com ) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more.. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.. Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.
We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.. Machine Learning Engineer - RAG. You will play a critical role in integrating artificial intelligence and generative AI into sophisticated RAG technologies, enterprise Knowledge Graphs, and the latest LLM algorithms and technologies to build the next wave of intelligent agents.. Experience with distributed, scalable systems and modern data storage, messaging, and processing frameworks, such as Kafka, Spark, Docker, and Hadoop.. Experience building batch data processing pipelines with tools like Apache Spark, SQL, Hadoop, EMR, MapReduce, Airflow, Dagster, or Luigi.
A story about innovations and traditionsabout inspiring stores and irresistible productsabout the excitement of the Macys 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. The Senior Data Scientist designs, develops, and implements advanced data science models for priority business use cases across the enterprise. Analytical Skills: Strong understanding of core analytical and statistical methods, including regression, segmentation/clustering, predictive modeling, time-series analysis, and machine learning techniques. Data scientist fluent in complex algorithms and analytics methodologies across multiple platforms and languages, including Google Cloud Platform. Understanding of core analytical and statistical methods, including regression, segmentation/clustering, predictive modeling, time-series analysis, and machine learning techniques.
We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society.. Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments.. Preferred Qualifications BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.. or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.. Deep understanding of state-of-the-art machine learning techniques and models.
As the Director of Machine Learning on the Data, Growth & Platforms team focused on Digital Media, you will lead a high-impact, multidisciplinary team of ML/AI engineers and data scientists dedicated to transforming Adobe's go-to-market (GTM) and revenue strategies through machine learning.. Innovation & Business Im pact: Apply innovative ML research, including recommender systems, reinforcement learning, predictive modeling, and causal inference-to GTM domains.. MS or PhD in Computer Science, Machine Learning, or a related technical field.. Technical Expertise : Deep experience in training and deploying deep learning models using frameworks like TensorFlow and PyTorch.. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
As a Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate in the Chief Data & Analytics Office (CDAO) at JPMorgan Chase, you will have the unique opportunity to apply sophisticated machine learning methods to complex tasks.. Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems. Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods. Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas). Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
Responsibilities The AI Platform, Principal Engineer is responsible for designing, building, and maintaining robust AI platforms that support advanced machine learning and artificial intelligence applications.. Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).. Excellent knowledge of MySQL, SQL Server, PostgreSQL, MongoDB, and/or CosmosDB. Multiple years working with structured and unstructured data within a cloud-based data environment (Redshift, Data Bricks, Hadoop, Snowflake, Spark, unmanaged Kafka, etc. Experience with Master Data Management (MDM) systems and processes.
Data Acquisition and Processing Collaborate with biomechanics researchers and engineers to collect and integrate large-scale biomechanical datasets.. Design and implement advanced machine learning models (e.g., deep learning, statistical modeling) to predict aortic disease risk progression.. Master's or PhD degree in Computer Science, Data Science, Statistics, Biostatistics, Biomechanics, or a related field.. Proficiency in programming languages like Python, R, or similar, with experience in data manipulation libraries like pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch.. Excellent understanding of biomechanics principles, particularly related to cardiovascular health, is preferred.
(In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work.. Position is eligible for 100% remote work.. Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.. Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.. Platform, Machine Learning, Python (Programming Language), Structured Query Language (SQL), Tableau (Software)We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most.
Collaborate with colleagues across multiple teams (Data Science and Data Engineering) on unique machine learning system challenges at scale.. Research and impalement state of the art LLM models for different business use cases including finetuning and serving the LLMs.. 5+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, deep learning.. 5+ years of industry experience with popular ml frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, spacy, genism etc. 5+ years of industry experience with major cloud computing services like Azure or GCP
The role is focused on recommender systems bridging Generative AI, Natural Processing (NLP), Reinforcement Learning (RL), graph networks, and deep learning to help find the next great read for Books customers.. You will build recommendation model pipelines, identify technical opportunities within complex deep learning-based recommendation models, and work with engineering and product leaders to power customer-facing recommendations.. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.. PREFERRED QUALIFICATIONS- Experience with popular deep learning frameworks such as MxNet and Tensor Flow. Experience with large scale distributed systems such as Hadoop, Spark etc.
Under the direction of the VP of Aviation Strategy & Enterprise Analytics, the Principal Data Scientist leads the development and deployment of ML/AI solutions while coaching data science teams.. Knowledge of Generative AI and NLP tooling.. Knowledge of data privacy, compliance, and ethical AI considerations.. Skill in Python, TensorFlow/PyTorch, Keras, Scikit-Learn, SQL, Data & ML cloud services.. Must obtain a Security Identification Display Area (SIDA) Airport Identification/Access Badge in accordance with Department of Homeland Security Transportation Security Administration (TSA) requirements in Chapter 49 of the Code of Federal Regulations Part 1500 et al., and DFW Airport’s Airport Security Program within thirty (30) days from date of employment and maintain qualification for a SIDA badge upon each badge renewal.
integrating LLMs with vector databases (e.g., FAISS, Pinecone, Weaviate) and document indexing frameworks.. 5+ years of experience in data science or applied machine learning, with a strong background in both classical and deep learning methods.. Python , and libraries/frameworks such as scikit-learn, pandas, PyTorch, TensorFlow, Hugging Face Transformers, and LangChain.. classification metrics , feature engineering, model validation, and hyperparameter tuning.. Knowledge of cloud platforms (AWS/GCP/Azure) and deployment tools (e.g., Docker, MLflow, FastAPI).
As a Data Scientist, you will play a crucial role in driving data analysis, insights, and predictive modeling to support our business operations and deliver valuable solutions to our clients.. Assist in the development and implementation of data governance policies, data quality standards, and best practices.. Experience with statistical analysis, data mining, and predictive modeling techniques.. Proficient in machine learning algorithms and libraries / frameworks, such as scikit-learn, TensorFlow, or PyTorch.. Skilled in data visualization and storytelling using tools like Tableau or Power BI.