Data Science & Machine Learning Jobs

Machine Learning Engineer.. Work with distributed streaming systems (e.g., Apache Kafka, Spark Structured Streaming) for real-time data processing and inference. Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow, scikit-learn, XGBoost). Solid understanding of data engineering fundamentals, including ETL and batch/streaming processing. Familiarity with cloud-native architectures (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

This role blends data science with cyber forensics to build ML models that power proactive and autonomous threat prevention systems. Design and optimize machine learning algorithms for behavior-based threat identification, anomaly detection, and malware classification. Hands-on experience with security telemetry tools including SIEMs, EDRs, PCAPs, syslogs, and sandbox data analysis. Proficiency in Python, ML frameworks like PyTorch or TensorFlow, and data processing libraries (e.g., Pandas, Spark). Understanding of TTPs, threat actor behaviors, and the MITRE ATT&CK framework.

Key Qualifications BS in Computer Science, Electrical Engineering, Machine Learning, or related technical field. Strong expertise in Python data science stack (NumPy, Pandas) and ML/DL frameworks (scikit-learn, PyTorch, TensorFlow) for end-to-end model development. Solid understanding of software engineering best practices: version control (Git), unit testing, code review, and CI/CD. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Preferred Qualifications MS or Ph. D. in Computer Science, Electrical Engineering, Machine Learning or related technical field. Development experience in a cloud service environment such as Amazon AWS, MS Azure, or Google Cloud Platform.

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. Are you excited about working on large-scale Generative AI, Natural Language Processing (NLP), and Deep Learning?. Candidates have a strong background in one or more fields: Natural Language Processing, Large Language Modeling, Computer Vision, Reinforcement Learning, or Machine Learning in general. Experience with one or more deep learning libraries and platforms (e.g., TensorFlow, Jax, or PyTorch). Large Language Models (LLMs), LLM evaluation and benchmarking, multilingual LLMs, LLMs as foundation of agents

Our approach involves LLM embeddings, few-shot learning, data labeling, and continuous monitoring of model performance in prod. We’re using GPT-3 and other LLM’s to turn companies’ mostly unstructured call data into actionable strategies & feedback loops. Can we use LLM’s to generate embeddings of conversations that we can use to cluster similar conversation patterns and predict where the conversation is headed?. Full stack ML Eng chops: proficiency in general purposes programming languages such as Python/Javascript, and with libraries like TensorFlow, PyTorch, Keras, scikit-learn etc. Expertise in areas like NLP, Deep Learning, Anomaly Detection, Transformers and Large Language Models.

Job Title: Machine Learning Engineer.. 2 years of work or educational experience in Machine Learning or Artificial Intelligence using TensorFlow and Keras. MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field. Deep learning experience with TensorFlow and Keras is a must.. Different Networks: CNN, RNN, LSTM

This role includes responsibilities both as a Professional Services Machine Learning Architect and as a hands-on Machine Learning engineer on customer engagements.. Design the architecture of ML solutions on cloud platforms (AWS, Azure, GCP) including MLOPs∯*∯. Masters with 10+ years of experience or PhD with 6+ years of experience in Machine Learning, Natural Language Processing (NLP) and Deep Learning.. Minimum 5+ years of experience with cloud platforms (AWS, GCP, Azure).. Experience with hugging face, TensorFlow/pytorch, transformer architectures, prompt engineering, agentic systems, LLMs.

We have an opportunity available for a Data Scientist to work in the field of cells, genomics and related areas. Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Senior Scientist I, Data Science: $229,000 - $313,950.. Senior Scientist I, Data Science: $212,000 - $292,100

Inuvo is seeking a highly skilled and motivated Machine Learning Engineer / Data Scientist to join our team.. Drive innovation by exploring and applying cutting-edge machine learning and data science methodologies.. Minimum 3 years of experience in machine learning, data science, algorithm design, and large-scale statistical analysis.. Proficiency in large-scale data processing tools such as Spark or Hadoop.. Experience with Large Language Models (LLMs) and Natural Language Processing (NLP) is highly desirable.

Founded in 2016, we are a fully funded startup building the world's largest sports network offering live streaming and on-demand sporting events available via subscription based services.. Experience with machine learning frameworks such as TensorFlow, Keras, and OpenCV. MS/PhD with a thesis in the fields of Computer Vision / Deep Learning. Experience with LLM Models for Video understanding. Experience with deep temporal models (LSTM, GRU)

AEEC is seeking a Principal Artificial Intelligence/Machine Learning Scientist with neural networks deep learning experience who will lead a small team of AI scientists in solving AI problems and advancing AI techniques, science and research agendas of AI in one or more areas.. Ph. D. in a quantitative science: Computer Science, Math, Electrical Engineering, Statistics, or relevant program with major in AI, Machine Learning, or Computational Linguistics. Artificial Intelligence / Machine Learning Research and Development Engineer. Principal Associate, Data Scientist - Shopping AIPrinciple Geospatial Scientist (Data Collection/Quality Manager)Lead Data Scientist & Deputy Program ManagerManaging Consultant Financial Modeler Data ScientistDelivery Consultant – Communications Apps, Data and Machine Learning, WWPS US FederalDelivery Consultant – Communications Apps, Data and Machine Learning, WWPS US FederalArtificial Intelligence/Machine Learning (AI/ML) Engineer. AI Research Scientist: AEC. Remote US or CanadaSenior Healthcare Data Scientist - AI/ML, Stats, OR

The ideal candidate will be responsible for transforming complex datasets into actionable insights, leveraging advanced statistical techniques, machine learning models, and data visualization tools.. Develop, test, and implement machine learning models for predictive analytics.. Knowledge of machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.. Experience with data visualization tools like Tableau, Power BI, or similar.. Strong understanding of deep learning, natural language processing, and computer vision.

Singularity AI is leading the new trend in Precision MedicineThe Singularity AI Team is looking for a Senior/Principal Computer Vision Scientist (Multiple openings).. Computer-aided diagnosis based on image processing and computer graphics.. Deep neural network-based natural language processing, multi-modality medical image analyzing.. Professional at deep learning algorithms, familiar with at least one of the deep learning libraries (CNTK, Pytorch, Caffe, Tensorflow, MXNet, etc. Prefer candidates with publications at conferences or journals in computer vision (CPPR, ICCV, ECCV, T-PAMI, T-IP), machine learning (ICML, NIPS, ICLR), and medical image analysis (MICCAI, IPMI, TMI).

Drive innovation by applying advanced analytics techniques, including data science, artificial intelligence, machine learning, and predictive modeling, to support impactful, data-driven business decisions.. Proven hands-on expertise in applying analytical and statistical techniques to large, complex datasets - preferably at the patient level, including statistical modeling, machine learning, and artificial intelligence methodologies.. Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Data Science, Mathematics, or Life Sciences); advanced degree preferred.. Understanding of pharmaceutical commercialization, patient services, and distribution networks; experience in the rare disease space is a strong plus.. Strong programming proficiency in Python, R, SQL, or similar languages, with the ability to independently build, test, and deploy data pipelines and analyses within environments such as Athena, Snowflake, or Databricks

As an AI Research Engineer, you will be responsible for developing and deploying advanced AI models and systems that address real-world problems and drive business innovation.. 5 years of experience with machine learning algorithms and tools (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing.. 6+ years of experience with machine learning frameworks (e.g. Pytorch, TensorFlow), artificial intelligence, deep learning or natural language processing.. 3+ years of experience in conducting research in machine learning, natural language processing or computer vision.. Master or PhD in Computer Science, Computer Engineering, Electronic Engineering or related fields

This role is ideal for an engineer who has hands-on experience working with cutting-edge data solutions, generative AI, transformers, large language models (LLMs), RAGs, speech-to-text technologies, ASR, database optimization and localization algorithms.. Tools: Implement and optimize AI/ML pipelines, leveraging AWS SageMaker, retrieval-augmented generation (RAG) techniques, and big data processing tools like Spark, Hive, and Airflow. About YouExperience: 3-5 years of professional experience in AI/ML engineering or data science with a focus on NLP, speech-to-text, and/or generative AI. Deep Learning Frameworks: Strong experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, Keras, or similar tools.. SQL expertise to improve application integration with both SQL and No-SQL databases by query optimization, explain plan analysis, data indexing and modeling, and familiarity with monitoring data KPIs. Knowledge of multilingual NLP and techniques for handling non-English languages in NLP tasks.. Expertise with Snowflake Cortex Large Language Model (LLM) functions and statistical modeling is a plus Understanding of model explainability and ethical AI practices.

Strong expertise in Generative AI (LLMs, vector databases, RAG) and Machine Learning (Deep Learning, TensorFlow, NLP).. Proficiency in MLOps, Distributed Systems/Big Data (Spark, Kafka), and Cloud platforms (AWS, GCP, Azure).. Skilled in Python, Java, Scala, and various Datastores (NoSQL, SQL, Vector stores).. Innova Solutions offers benefits( based on eligibility) that include the following: Medical & pharmacy coverage, Dental/vision insurance, 401(k), Health saving account (HSA) and Flexible spending account (FSA), Life Insurance, Pet Insurance, Short term and Long term Disability, Accident & Critical illness coverage, Pre-paid legal & ID theft protection, Sick time, and other types of paid leaves (as required by law), Employee Assistance Program (EAP).. One of the Largest Staffing Firms in the US – Ranked #13 by Staffing Industry Analysts (SIA, 2024; includes Innova Solutions, Volt, & HireGenics)

This position contributes to the strategic vision for the application of cutting-edge AI methodologies at Exact Sciences and works as a partner with biostatisticians, bioinformatics scientists, and data scientists to further our goal of helping eradicate cancer by preventing it, detecting it earlier, and guiding personalized treatment.. Work with stakeholders to discover requirements for ML- and AI-based solutions to business problems with a focus on bioinformatics, biostatistics and data engineering applications.. Contribute to the execution of an AI strategy at Exact Sciences that empowers the team to leverage both existing AI and ML tools and those developed in-house to accelerate and enhance bioinformatics, biostatistics and data science processes and outcomes.. Demonstrated knowledge of artificial intelligence and machine learning techniques within one or more of the following fields: natural language processing, image processing and computer vision, image and pattern recognition.. Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage.

Enable Skills-Based Hiring No Furlough Notification All NextEra Energy Contingent Workforce Program (CWP) assignments are eligible for worker furlough.. - Enhance chatbot and virtual assistant capabilities using NLP techniques. - Proficiency in Python/R, SQL, and data visualization tools (Tableau, Power BI).. - Experience with machine learning (scikit-learn, TensorFlow, PyTorch) and NLP.. No Is NERC CIP unescorted physical or cyber access required for this assignment?

As a core member of the NLP team, you will research, prototype, develop, deploy and scale innovative Machine Learning/Deep Learning solutions in collaboration with Linguistic Experts and Product Management teams.. You will develop predictive models on large-scale datasets to address various business problems leveraging advanced statistical modeling, machine learning, deep learning or data mining techniques.. 5+ Years of experience with building end-to-end systems based on machine learning or deep learning methods (ETL, modeling and deployment).. Experience with deep learning-based NLP models such as BERT, GPT, other transformers.. Experience with machine learning techniques, tools, and frameworks like Keras, TensorFlow, pytorch