Data Science & Machine Learning Jobs

Join to apply for the Artificial Intelligence (AI) Solution Architect role at Signify Technology. With a commitment to innovation, the company delivers commissioning, validation, and IT services, empowering clients to achieve operational excellence through cutting-edge technologies like AI and machine learning.. Build and deploy AI/ML models using cloud platforms (e.g., AWS, Azure, GCP) and frameworks (e.g., TensorFlow, PyTorch), ensuring alignment with business objectives.. Proficiency in programming languages such as Python, Java, or Scala, and AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).. Preferred certifications: AWS Certified Machine Learning – Specialty, Google Cloud Professional ML Engineer, or equivalent.

This position will be reporting to the Executive Director – Patient Safety and Pharmacy Operations Analytics.. Conduct or coordinate appropriate testing of analytic solutions including, machine learning and artificial intelligence, to ensure results are consistent with business requirements. Expert level programming skills in Python, R, TensorFlow, or other data science environment; robust data management and reporting skills, understanding of deploying machine learning models in real time production environments including cloud (Azure, AWS), Spark-based systems, etc.. ·Highest level of attention to detail when working within legal and compliance regulations, primarily around HIPAA, patient safety work product, and attorney/client privilege while working with sensitive, confidential, and protected data.. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

Senior Data Modeler/Data Architect + Big Data/Hadoop Businesses face challenges every day building responsive and agile IT capabilities to grow and stay ahead. USM Business Systems, established in 1999, is an industry-leading private talent management firm, specializing in providing unique IT turnkey solutions, IT staffing solutions, and talent management insights, enabling you to sustain a truly competitive advantage in this fast-moving environment. Experience with In-Memory New SQL, NoSQL, and Hadoop Hive/Sqoop/Scala/Spark. This highly technical, hands-on role involves leading the design, implementation, and support of data architecture deliverables across multiple projects involving data integration, management, warehousing, business intelligence, and analytics. The role requires balancing hands-on development with strategic planning and collaborating with data/solution architects, analysts, DBAs, product managers, and development teams to define requirements and design solutions aligned with the organization’s digital strategy.

This team within the Professional Services group will be working with customers using Snowflake to expand their use of the Data Cloud to bring data science pipelines from ideation to deployment, and beyond using Snowflake's features and its extensive partner ecosystem.. Work hands-on where needed using SQL, Python, Java and/or Scala to build POCs that demonstrate implementation techniques and best practices on Snowflake technology within the Data Science workload. Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn or similar. Experience with Databricks/Apache Spark. Vertical expertise in a core vertical such as FSI, Retail, Manufacturing etc

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).. Identify the best available open-source AI models, libraries, and approaches to NLP.. Requirements and skills Proven experience as a Machine Learning Engineer or similar role with NLP.. Machine Learning Engineer, Monetization Engineering. Machine Learning Engineer for Game Technology

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).

Principal Scientist (AI/ML) – Predictive modeling, design and optimization for therapeutic antibodies page is loadedPrincipal Scientist (AI/ML) – Predictive modeling, design and optimization for therapeutic antibodiesApply locations Cambridge Crossing - MA - US time type Full time posted on Posted 2 Days Ago job requisition id R1592169. You will use high-dimensional assay data and antibody repertoires to develop innovative, accurate , and scalable computational solutions that guide molecular design and optimization efforts.. Ph. D. in computer science, machine learning, statistics, computational biology, or related fields with 6. Fluency in Python and modern ML libraries (e.g., PyTorch , TensorFlow, JAX), with excellent software engineering practices (Git, CI/CD, containerization, and reproducible research standards).. Knowledge in protein biochemistry or antibody engineering is a strong plus.

Artificial Intelligence (AI), Python (Programming Language), Machine Learning, Applied Math, Statistics. No biology/genomics background is required.. PhD, MS, or BS in Computer Science, Machine Learning, or related field.. Proficiency in Python and ML frameworks (TensorFlow, PyTorch).. Strong understanding of large language models and deep learning.

This position will be reporting to the Executive Director – Patient Safety and Pharmacy Operations Analytics. Conduct or coordinate appropriate testing of analytic solutions including, machine learning and artificial intelligence, to ensure results are consistent with business requirements.. Expert level programming skills in Python, R, TensorFlow, or other data science environment; robust data management and reporting skills, understanding of deploying machine learning models in real time production environments including cloud (Azure, AWS), Spark-based systems, etc. Highest level of attention to detail when working within legal and compliance regulations, primarily around HIPAA, patient safety work product, and attorney/client privilege while working with sensitive, confidential, and protected data. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

Vertex Pharmaceuticals is seeking a machine learning expert to lead machine learning efforts in the Data and Computational Sciences (DCS) team, which is responsible for the data science and computational science efforts for all of Global Research at Vertex.. The fellow will have the opportunity to impact a variety of scientific areas include predictive models for small molecule compounds, protein structure prediction, lipid nanoparticle design, and cell therapy characterization and manufacturing, with the ultimate goal of improving or accelerating the research and development of transformative medicines for patients.. Partner with scientific experts to evaluate and develop machine learning methods in various scientific domains, with an initial focus on partnering with chemistry and computational chemistry leaders to accelerate and enhance the discovery of small molecule medicines through improvements to the Design-Make-Test-Analyze cycle. PhD/MS in computer science, statistics, or computational science, with a focus on machine learning methods, or a PhD in a related field (e.g., computational chemistry or biology) with a strong emphasis in machine learning method development , and 10+ years of relevant experience.. Very strong Python programming skills and experience with modern machine learning tooling (scikit-learn, JAX, PyTorch, Tensorflow, etc.)

Join Team CARFAX as a Data Scientist One last thing: Our four-day week continues in Summer 2025 As a Data Scientist, you will be working in the data science team to create machine learning solutions for a new product.. Leading the design, development and deployment of our deep learning, ML and NLP solutions.. 4+ years of experience in building and applying machine learning, predictive modeling, or natural language processing solutions to business problems. Deep understanding and experience with advanced statistics and modern machine learning predictive techniques, including GLMs, decision trees, boosted ensembles, neural networks, deep learning, etc.. Casual, dog-friendly, and innovative office spaces

American Express Company seeks Directors, Data Science to lead a team responsible for developing, implementing, and tracking AI/ML models for driving digital personalization in prospect marketing, automating data capability and model governance.. Drive the next generation of innovations in marketing predictive models with a focus on researching and developing newer and better models using best in class big data and machine learning solutions.. Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.. Position requires a Master’s degree in Econometrics, Statistics, Mathematics, Operations Research, Engineering, Computer Science, or a related field, and 2 years of experience developing and implementing predictive models for prospect personalization marketing using large datasets in the financial services industry.. We back our colleagues and their loved ones with benefits and programs that support their holistic well-being.

Expertise in AI/ML technologies (e.g., TensorFlow, PyTorch, Scikit-learn, Keras) and understanding of deep learning and natural language processing (NLP).. Strong understanding of big data platforms such as Hadoop, Apache Spark, and data lakes.. Hands-on experience with cloud platforms (Azure, AWS, or Google Cloud) for building scalable data solutions.. Experience with data visualization tools like Power BI, Tableau, or Looker.. Certifications: Relevant certifications in enterprise architecture, AI, or data science (e.g., TOGAF, Certified Data Management Professional (CDMP), Microsoft Certified: Azure AI Engineer Associate).

Our client is a recognized leader in predictive analytics and data mining - they pride themselves on their ability to find creative, cutting edge solutions to real-word problems.. - Experience with Data Science, Statistics, Machine Learning, NLP, Predictive Analytics, or similar discipline. - Experience with R/Shiny or Python. - Experience with SPSS, SAS, KNIME, RapidMiner, or Statistica. - Experience with Java, Pig, or Spark

iQuasar is seeking to fill the Machine Learning Engineer role in San Diego, CA. At iQuasar, we strive to provide the next generation of cutting-edge technologies.. We have an opportunity for a highly motivated Machine Learning Engineer to join our dynamic team.. In this role, you will leverage your knowledge of machine learning algorithms and so􀅌ware engineering to contribute to diverse AI-based projects related to resource planning for ship maintenance, marine transportation and climate/environmental informatics.. Completed coursework in Machine Learning, Deep Learning, Algorithm Design, and Data Science. Excellent coding skills in Python, ability to handle and analyze large data sets/streams, and familiarity with web frameworks such as Django and Flask

As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more.. Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment. PhD inputer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field. Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments. Hands-on experience applying deep learning on time series data

KPMG is currently seeking a Senior Associate, NFR Data Science in Non-Financial Risk for our Consulting practice.. Engineer solutions using natural language processing and machine learning techniques to solve critical problems and improve processes for clients across capital markets and financial services businesses, including trade surveillance, electronic communications surveillance, payments fraud detection, third-party risk management and other operational risk categories. Bachelor’s degree from an accredited college/university in a relevant STEM field such as data science, computer science, engineering, mathematics, physics and other related fields. Extensive experience in AI/ML algorithm development and data analysis including at least one of the following: NLP, time-series analysis, predictive modeling. Experience in a statistical programming language (for example, R or Python) and related data science / machine learning packages (for example, Pandas, Scikit-learn, Pytorch, Transformers); experience with scripting, data structures and algorithms and ability to work with large amounts of data

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora and more!. We are seeking a highly skilled and motivated Data Scientist to join our team.. o Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.. Additional Skills (Preferred): o Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).. Continuous Improvement: Stay up-to-date with the latest developments in data science, machine learning, and related fields, and apply this knowledge to improve existing processes and methodologies.

Numerator is looking for a passionate Deep Learning Software Engineer to join our growing Machine Learning team.. Develop and train deep learning models on computing clusters to perform NLP-related tasks, such as applying both pre-trained and custom transformers for NER, sequence classification, language modeling, etc.. 2+ years experience building and deploying robust machine learning APIs in production environments (ideally cloud-based environments such as AWS or GCP).. Background in the foundations of deep learning modeling with experience building high throughput, production quality deep learning pipelines for NLP, computer vision, information extraction/retrieval, or related practice. LLM Self-hosting and training experience not required.

Posting Details Job ID: 95121 College/School: Chicago, IL - Jarvis College of Computing & Digital Media Position Description: DePaul’s Jarvis College of Computing & Digital Media (CDM) is located in the heart of Chicago’s Loop, the central business district of Chicago.. Part-time teaching positions are available throughout the academic year, including summer sessions.. The School of Computing (SoC) offers a variety of undergraduate and graduate programs including Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction, Information Systems, Information Technology, Intelligent Systems Engineering, Network Engineering and Security, and Software Engineering.. Students take courses in core AI concepts and techniques and explore relevant technical areas including natural language processing, big data systems, computer vision, image processing, robotics, and cybersecurity.. We seek instructors with professional experience in machine learning and artificial intelligence who can teach in areas relevant to AI including machine learning, deep learning, natural language processing, reinforcement learning, robotics and computer vision.