Data Science & Machine Learning Jobs

Apply predictive modeling, LLMs, and deep learning to extract actionable insights from large-scale datasets.. A master’s degree (PhD preferred) in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field.. 5+ years of experience in machine learning (supervised, unsupervised, and ensemble methods), natural language processing; deep learning experience is a bonus.. Demonstrated expertise in Python and relevant data science/ML libraries including TensorFlow, PyTorch, scikit-learn, and pandas, and ability to create visualizations and apply persuasive story telling.. Hands-on experience with cloud computing platforms (AWS, Azure, GCP) and proficiency with industrial data platforms

We are seeking a data scientist who is passionate about business processes, automation, operational data measurement, and the intellectual challenge analyzing them offers. The data scientist will be part of a management consulting and data science team that performs analysis on client data and assists with the development, implementation and integration of pioneering solutions using different methods, techniques and tools. You will ensure the rigor and underlying logic of the team's findings, optimize the analytical storyline and develop superior, easy to comprehend documentation operational analysis. Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms.. Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)

Familiarity with big data tools (Apache Spark, Kafka, Hadoop) and MLOps platforms (MLflow, TFX, SageMaker). Languages & Frameworks: Python, TensorFlow, PyTorch, JAX, Hugging Face Transformers. MLOps & Data Pipelines: MLflow, Kubeflow, TFX, Apache Spark, Airflow, Ray. Cloud & Deployment: AWS SageMaker, GCP Vertex AI, Azure ML, Kubernetes, Docker. Big Data & Storage: Apache Kafka, Hadoop, BigQuery, Snowflake, Redis, NoSQL databases

Research, design, and implement state-of-the-art AI methodologies and techniques to enhance predictive modeling and optimization.. Strong expertise in machine learning, deep learning, and statistical modeling techniques, with hands-on experience in developing and deploying AI models.. Proficiency in programming languages such as Python and R, along with experience in using AI libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).. Solid understanding of data preprocessing, feature engineering, and data visualization techniques.. Experience with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) for handling large-scale datasets.

Machine Learning Engineer, Computer Vision. Come help us build the world's most reliable on-demand, logistics engine for last-mile grocery and retail delivery!. We're looking for an experienced senior machine learning engineer to help us develop the cutting-edge Computer Vision models that power DoorDash's growing grocery and retail business.. Collaborate with cross-functional leaders across engineering, product, and business strategy to help shape a product roadmap driven by machine learning, accelerating the growth of a multi-billion-dollar retail delivery ecosystem.. Strong machine learning and programming skills, particularly in Python, with experience in key ML frameworks such as PyTorch, TensorFlow, or Spark.

The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AI solutions for Bosch products and services in application areas such as automated driving (AD), advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Conduct research and engineering in core AI and machine learning fields to enable Embodied AI (including computer vision, autonomous planning, open-world learning, and so on) for related business domains of ADAS/AD, industrial automation, robotics etc. Push the boundaries in (modular) end-to-end perception and planning for ADAS/AD, incorporating advancements in reinforcement learning, simulation and world models to aid generalizability.

The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis.. We develop scalable, intelligent, and trustworthy AI solutions for Bosch products and services in application areas such as automated driving (AD), advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions.. Conduct research and engineering in core AI and machine learning fields to enable Embodied AI (including computer vision, autonomous planning, open-world learning, and so on) for related business domains of ADAS/AD, industrial automation, robotics etc.. Push the boundaries in (modular) end-to-end perception and planning for ADAS/AD, incorporating advancements in reinforcement learning, simulation and world models to aid generalizability.

Develop and implement advanced machine learning models that map ecosystem properties (land cover, carbon density, biodiversity, etc.). Collaborate with a team of geospatial and remote sensing experts.. Experience with open-source programming languages (i.e., Python, R).. Experience using common machine learning libraries and tools (i.e., TensorFlow, PyTorch, Scikit-Learn).. Knowledge of geospatial analytics and remote sensing is advantageous.

Machine Learning Engineer SFO, CA (Hybrid). We are seeking a skilled Machine Learning Engineer to design, develop, and deploy advanced AI/ML models, with a focus on Generative AI, RAG architectures, and large-scale machine learning applications.. API Development: FastAPI, Flask, Django. Containerization: Docker, AWS ECS, Kubernetes. Experience with cloud platforms such as AWS (SageMaker preferred), GCP Vertex AI, or Azure ML for deploying ML models.

Rue Gilt Groupe is looking for a Data Scientist to join our industry-leading Data Science and Machine Learning Team.. We inspire confidence and spark delight in over 50M customers, and we are evolving our machine learning models and data science platform to unlock significant opportunities for continued growth and success.. Work with a state-of-the-art data technology stack (Spark, Tensorflow, Pytorch, Snowflake, Airflow, AWS Ecosystem) that operates in the cloud to empower predictive modeling services for both internal and external customers. Proficiency with Deep Learning frameworks such as TensorFlow, Keras, and PyTorch.. Experience with workflow orchestration tools, such as Apache Airflow.

Our team values creativity, collaboration, and a passion for technological advancements in the field of artificial intelligence and machine learning.. We are seeking a talented and experienced Machine Learning Engineer to join our dynamic team.. Master’s or Ph. D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.. Proven experience as a Machine Learning Engineer or similar role.. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).

The CLIENT DEPT AI is a Google Cloud product that is used to scan paper marriage licenses, extract index information and images to FileNet and stored in a on-prem application called VERA. The application is utilized by Vital Records CLIENT employees.. Proficiency with Natural Language Processing (NLP) tools like SpaCy, NLTK, or Hugging Face's Transformers for text-based document processing.. Proficiency in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools.. Experience in working with RESTful APIs and webhooks to enable backend communication Knowledge of cloud technologies such as AWS, Google Cloud AI, or Azure AI services for document processing and AI model deployment.. 3+years in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools 3+years in RESTful APIs and webhooks 3+years in SQL, R, and/or Pandas.

Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.. Hands-on experience implementing 3D computer vision algorithms, Sensor Fusion, Reconstruction, Object Tracking, Mapping, and Image Processing. Experience in real-time computer graphics or modern GPU programming (CUDA, OpenGL, OpenCL). Associate Research Scientist - Machine Learning, Center for Computational Mathematics (Joint with Cooper Union) Fundamental AI Research Scientist, AI Research Agents - FAIR (PhD) New York, NY $117,000.00-$173,000.00 1 week ago. Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence: New York, NY $128,100.00-$249,900.00 1 week ago

ConstructConnect is looking for a full-time Machine Learning Engineer II.. As a Machine Learning Engineer II, you will play a crucial role designing, implementing, optimizing, and operationalizing innovative AI solutions.. Familiarity with Terraform to streamline infrastructure provisioning and deployment processes.. Expertise with computer vision libraries and tools, such as OpenCV, scikit-image.. Understanding of Generative AI and deep learning architectures for computer vision and NLP.

Job Title: Machine learning Engineer. Provide recommendations, guidance and options to support Pearson's GLP product development road map. QUALIFICATIONS: MSc or higher in computer science, statistics, mathematics, physical science, engineering, or a comparable related technical field. Strong programming skills with fluency in at least one of Python or R, Java, Scala, C/C. Familiarity with libraries such as Spark ML, Tensorflow, scikit-learn, MLib, DLib, Pandas, or others like H2O, Databricks

Strong programming skills in Python and/or Java, with AI/ML frameworks such as TensorFlow, PyTorch, Keras, Scikit-Learn, and XGBoost.. Familiarity with cloud AI platforms (AWS SageMaker, Azure ML, Google Vertex AI) and containerization (Docker, Kubernetes).. Experience with REST APIs, microservices, and AI model serving (FastAPI, Flask, TensorFlow Serving, TorchServe).. Experience with healthcare data (EHRs, imaging, genomics, claims data, FHIR/HL7 standards) - Preferred. Strong knowledge of database management (SQL, NoSQL, BigQuery, Snowflake) - Preferred

Las prácticas y políticas de empleo de AVANGRID están orientadas a la contratación de una plantilla diversa y al mantenimiento de una cultura inclusiva.. En AVANGRID ofrecemos oportunidades de empleo y promoción justas y equitativas a todos los empleados y candidatos independientemente de su raza, color, religión, nacionalidad, sexo, orientación sexual, edad, estado civil, discapacidad, condición de veterano protegido o cualquier otra condición protegida por la legislación federal, estatal o local.. Avangrid is a leading sustainable energy company transitioning America toward a clean and connected future.. Our primary businesses are Networks, which serves 3.3 million electric and natural gas customers in the Northeast, as well as Renewables which is the third-largest renewable energy company in the U.S. with a diverse onshore and offshore renewable energy portfolio.. With more than 8,000 employees, Avangrid has built a culture that blends diversity, equity and inclusion guided by the company’s ESG+F framework and the UN Sustainable Development Goals.

Supervise the day-to-day functions of the Machine Learning (ML) team to create and execute a strategy for the company’s ML technology to analyze millions of phone calls that stream through our proprietary platform every day, ensuring the delivery of data science and machine learning projects with significant business impact and using fundamental computer science concepts, software design best practices, software development life cycle, and machine learning design patterns. Translating business objectives into data and analytics solutions, leveraging the latest data engineering, machine learning, and advanced analytics applications. Partnering with engineering and product specialists to lead the development of innovative analytics solutions, including those employing natural language processing (NLP) techniques and other machine learning concepts, techniques, and algorithms, including large language models, transformer models, deep learning, and other advanced technologies. Contributing to the development of advanced analytics intellectual property, leveraging the latest technologies and identifying new opportunities for data science and analytics, especially in the field of conversational analytics. f) Using big data technologies including HDFS, Spark, and Kafka; (g) Using Agile software development practices; (h) Communicating with colleagues, clients, and stakeholders at all levels; (i) Delivering data science and machine learning projects with significant business impact; and (j) Working independently and as part of a team, adapting to fast-paced, ambiguous, and complex environments and situations.

Strong hands-on experience with Python and/or Java, and AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost). Experience with cloud AI platforms (AWS SageMaker, Azure ML, Google Vertex AI), Docker, Kubernetes. Strong understanding of AI model APIs, microservices, and model serving (e.g., FastAPI, Flask, TensorFlow Serving). Database experience with SQL, NoSQL, BigQuery, or Snowflake. Master’s or Doctorate in Artificial Intelligence or Machine Learning

Master's Degree in Biomedical Engineering, Applied Mathematics, or a closely related field and 2 years of experience in data mining.. Artificial Intelligence with Natural Language Processing. Deployment of machine learning algorithms through Docker and microservices. Analytics on big scale databases using tools to include Hadoop, MongoDB, and HIVE. Working in a medical device environment including FDA regulations and (ISO) 13485