Data Science & Machine Learning Jobs

We are seeking an experienced Senior Data Scientist with over 5 years of experience in Data Science, Machine Learning (ML), and Artificial Intelligence (AI) to join our team in Redwood City, SF Bay Area. Ensure best practices in ML model validation, interpretability, and performance optimization.. Work with big data technologies and cloud platforms such as AWS, GCP, or Azure to scale AI/ML solutions.. Deep expertise in machine learning algorithms, deep learning, NLP, computer vision, and reinforcement learning.. Hands-on experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop, Snowflake).

Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Experience with machine learning libraries like TensorFlow, Pytorch, Scikit-learn, etc. Familiarity with big data technologies (e.g., Spark, Hadoop) and data visualization tools. A multinational organization with 58 offices in 21 countries and the possibility to work abroad

Salesforce is looking for a Principal Machine Learning Engineer to be part of the Einstein Foundation team building the next-gen Retrieval-Augmented Generation (RAG), leveraging sophisticated generative AI services, pipelines, and components to drive the development and delivery of Agentforce. You will play a critical role in integrating artificial intelligence and generative AI into advanced RAG technologies, enterprise Knowledge Graphs, and the latest LLM algorithms and technologies to build the next wave of intelligent agents. Strong programming skills in Python, with experience in machine learning frameworks like TensorFlow or PyTorch. Experience with distributed, scalable systems and modern data storage, messaging, and processing frameworks, such as Kafka, Spark, Docker, and Hadoop. Strong background in machine learning engineering and familiarity with pioneering deep learning techniques, particularly in NLP.

Develop state-of-the-art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (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).. Strong publication record in Natural Language Processing, Machine Learning, Deep Learning or Reinforcement Learning at major conferences or journals.. 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.

We are seeking a highly skilled and experienced Sr. Machine Learning Engineer / Data Scientist to join our dynamic Data Science and AI team. Utilize advanced machine learning techniques (e.g., deep learning, NLP, computer vision, reinforcement learning) to create innovative solutions. Expertise in Python and proficiency in ML frameworks (TensorFlow, PyTorch, scikit-learn). Technical Proficiency: Proficiency in cloud platforms such as Azure Synapse Analytics, Azure Machine Learning, AWS, and Google Cloud Platform for deploying big data and ML solutions. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law.

Job Title: Data Scientist - Python / NLP Location: Nashville, TN (Day 1 Onsite) Job Details: Master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data science or a similar role.. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (.. , SQL, Tableau, Power BI).. Good knowledge on Natural Language Processing (NLP) Expertise in advanced analytical techniques (.. , descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, Experience with cloud computing environments (GCP) and Data/ML platforms (Databricks, Spark).

Job Description: Requirement: 7 plus years of experience in statistical modeling, data mining, analytics techniques, machine learning software development and reporting.. Regression, Support Vector Machines, (Deep) Neural Networks, Random Forest, etc, and key parameters that affect their performance.. 3 plus years of hands-on experience with Python and/or R programming and statistical packages, and Client libraries such as scikit-learn, TensorFlow, PyTorch, etc.. Expertise with SQL, noSQL, Python, R, Javascript programming languages and big data environments (such as Client, Hadoop, Spark, Flink, Stream Analytics, Kafka, Docker, Kubernetes etc. Expertise with scaling pilot machine learning solutions to a large scale production environment.

Job Description : Position Description: Researches and develops Machine Learning (ML) models that identify suspicious transactions and customers using Artificial Intelligence (AI) and ML-based systems.. Develops models that operate on both structured and unstructured data (Natural Language Processing).. Education and Experience: Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and no experience.. DEdeveloping data pipelines on Amazon Web Services (AWS) using S3 storage services and EC2 Cloud computing services; performing supervised and unsupervised modeling on tabular data in Python, using DS libraries (Pandas, NumPy, SciPy, and Scikit-Learn); training models on imbalanced datasets using python libraries (IMBlearn); creating data visualizations to analyze and evaluate model results, using Python libraries (Matplotlib and Seaborn).. DEdeveloping classification models on text data, using Spacy, NLTK, Tensorflow, Pytorch, and BERT frameworks.

Position Overview: We are seeking a skilled Machine Learning Engineer to join our team and contribute to the development and implementation of cutting-edge ML algorithms.. Strong programming skills in Python and experience with ML libraries such as TensorFlow, PyTorch, or scikit-learn.. Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform.. Experience with deep learning techniques and frameworks.. Familiarity with big data technologies such as Hadoop, Spark, or Kafka.

We are seeking a highly skilled and experienced Sr. Machine Learning Engineer / Data Scientist to join our dynamic Data Science and AI team.. Utilize advanced machine learning techniques (e.g., deep learning, NLP, computer vision, reinforcement learning) to create innovative solutions.. Expertise in Python and proficiency in ML frameworks (TensorFlow, PyTorch, scikit-learn).. Proficiency in cloud platforms such as Azure Synapse Analytics, Azure Machine Learning, AWS, and Google Cloud Platform for deploying big data and ML solutions.. Applied knowledge in specialized areas such as NLP, computer vision, reinforcement learning, and Generative AI, including Large Language Models.

Our client is seeking a Principal Machine Learning Engineer to drive ML innovation and business impact.. Technical Expertise: Strong knowledge of ML algorithms, deep learning, NLP, and GenAI techniques.. Proficiency in AWS ML services (SageMaker, Bedrock, ECS) and MLOps practices or similar cloud services (i.e. GCP, Azure).. Proven ability to build and manage CI/CD, containers, and orchestration (i.e. ECS, Dagster) Advanced Python programming skills with experience in TensorFlow, PyTorch, Scikit-learn.. Benefits Medical, dental, vision, 401(k), annual bonus, long-term incentive RequirementsMachine Learning, Python, Deep Learning, GenAI, Cloud, APIs, TensorFlow, PyTorch, CI/CD, Container Orchestration

Practical experience solving real world problems and understanding of predictive modeling and algorithms for classification, regression, clustering, and anomaly detection. Experience with data acquisition tools (e.g. SQL), data mining and data visualization.. Familiarity with big data technologies eg: Hadoop, Spark, Hive. Strong background in machine learning libraries and frameworks such as Scikit Learn, TensorFlow, PyTorch. Familiarity with optimization algorithms and tools (Gurobi/ Cplex/ Xpress) is a plus. Experience prototyping, developing software and implementing data science pipelines and applications in programming languages (Python/Java/C

- Evaluate commercial and open-source techniques in machine learning, data mining, NLP, and analytics.. Qualifications: - Master’s degree or higher in Computer Science, Statistics, Mathematics, or a related field with a focus on data mining, NLP, or machine learning.. - Over 6 years of professional experience in NLP systems, predictive modeling, recommendations/personalization, clustering, classification, sentiment analysis, time series, and deep learning.. - Over 5 years of programming experience in Python, TensorFlow, PyTorch, or Keras.. Benefits: -Competitive medical, dental and vision coverage -Company-paid pension and 401(k) match -Three weeks of vacation and up to three weeks of paid sick leave -Nine paid holidays and two personal days -20 weeks paid parental leave for any new parent -Robust mental health resources -Backup care and caregiver concierge services -Gender affirming services -Pet insurance -Free digital subscription -Leadership and career development programs

Machine Learning Engineer (Federal AI & Predictive Analytics) Job Overview:Blueprint Creative Group is seeking a Machine Learning Engineer with a strong background in AI-driven predictive analytics and federal cybersecurity applications.. Implement and fine-tune deep learning frameworks such as TensorFlow, PyTorch, and Scikit-Learn.. Ensure AI compliance with FedRAMP, Zero Trust, NIST AI ethics, and CISA cybersecurity guidelines.. Strong programming skills in Python, R, and SQL ; familiarity with cloud AI tools like AWS SageMaker, Azure AI, or Google Vertex AI.. Experience in natural language processing (NLP), computer vision, or reinforcement learning (preferred but not required).

Essential Functions and Job Responsibilities Collaborate with stake holders, DevSecOps and data engineering teams to execute on the analytics roadmap.. Implement machine learning algorithms for object detection, photo manipulation and text extraction using computer vision leveraging OpenCV library as well as deep learning frameworks like TensorFlow and PyTorch.. Leverage cloud-based infrastructure and services for machine learning including AWS and Databricks.. Experience with notebook environments for Python (Databricks, SageMaker, Jupyter, Effective communication, documentation and problem-solving skills.. Experience with Databricks Unified Analytics Platform is strongly preferred.

Domain Exposure: Healthcare, Pharmaceuticals, Manufacturing, Banking & Finance, Utilities/Energy, Insurance, Retail, Government, Telecom, Aerospace/Airlines, Education, Real Estate, Oil & Gas, IT/Software, Media/Entertainment. Qualifications Ph. D. degree in Artificial Intelligence, Machine Learning, Robotics, Computational Neuroscience or related technical field with a strong publication/practical implementation.. Strong deep learning experience, particularly in applications of Neural Network architectures to Computer Vision, Natural Language Processing, Machine Intelligence and/or Reinforcement Learning.. Experience with one or more deep learning frameworks such as Pytorch, Torch, Caffe, or Tensorflow.. Preferred Qualifications Research focus on one of the following: Computer Vision, Deep Reinforcement Learning, NLP, ASR, Audio Processing.

Domain Exposure: Healthcare, Pharmaceuticals, Manufacturing, Banking & Finance, Utilities/ Energy, Insurance, Retail, Government, Telecom, Aerospace/ Airlines, Education, Real Estate, Oil & Gas, IT/Software, Media/ Entertainment. Minimum Requirements Ph. D. degree in Artificial Intelligence, Machine Learning, Robotics, Computational Neuroscience or related technical field with a strong publication/practical implementation.. Strong deep learning experience, particularly in applications of Neural Network architectures to Computer Vision, Natural Language Processing, Machine Intelligence, and/or Reinforcement Learning.. Experience with one or more deep learning frameworks such as Pytorch, Torch, Caffe, or Tensorflow.. Preferred Qualifications Research focus on one of the following: Computer Vision, Deep Reinforcement Learning, NLP, ASR, Audio Processing.

Domain Exposure: Healthcare, Pharmaceuticals, Manufacturing, Banking & Finance, Utilities/Energy, Insurance, Retail, Government, Telecom, Aerospace/Airlines, Education, Real Estate, Oil & Gas, IT/Software, Media/Entertainment. Minimum Qualifications Ph. D. degree in Artificial Intelligence, Machine Learning, Robotics, Computational Neuroscience or related technical field with a strong publication/practical implementation.. Strong deep learning experience, particularly in applications of Neural Network architectures to Computer Vision, Natural Language Processing, Machine Intelligence, and/or Reinforcement Learning.. Experience with one or more deep learning frameworks such as Pytorch, Torch, Caffe, or Tensorflow.. Preferred Qualifications Research focus on one of the following: Computer Vision, Deep Reinforcement Learning, NLP, ASR, Audio Processing.

Domain Exposure: Healthcare, Pharmaceuticals, Manufacturing, Banking & Finance, Utilities/ Energy, Insurance, Retail, Government, Telecom, Aerospace/ Airlines, Education, Real Estate, Oil & Gas, IT/Software, Media/ Entertainment. Minimum Qualifications Ph. D. degree in Artificial Intelligence, Machine Learning, Robotics, Computational Neuroscience or related technical field with a strong publication/practical implementation or any field.. Strong deep learning experience, particularly in applications of Neural Network architectures to Computer Vision, Natural Language Processing, Machine Intelligence, and/or Reinforcement Learning.. Experience with one or more deep learning frameworks such as Pytorch, Torch, Caffe, or Tensorflow.. Preferred Qualifications Research focus on one of the following: Computer Vision, Deep Reinforcement Learning, NLP, ASR, Audio Processing.

Domain Exposure: Healthcare, Pharmaceuticals, Manufacturing, Banking & Finance, Utilities/ Energy, Insurance, Retail, Government, Telecom, Aerospace/ Airlines, Education, Real Estate, Oil & Gas, IT/Software, Media/ Entertainment. Ph. D. degree in Artificial Intelligence, Machine Learning, Robotics, Computational Neuroscience or related technical field with a strong publication/practical implementation or any field. Strong deep learning, particularly in applications of Neural Network architectures to Computer Vision, Natural Language Processing, Machine Intelligence and/or Reinforcement Learning. One or more deep learning frameworks such as Pytorch, Torch, Caffe, or Tensorflow. Research focus on one of the following: Computer Vision, Deep Reinforcement Learning, NLP, ASR, Audio Processing