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Conduct A/B testing and model validation techniques.. ETL Pipelines , Airflow , MLflow , DVC. Model packaging and deployment using Docker, Flask/FastAPI. Experience with OpenCV , YOLO , CNNs for image-based tasks. Bachelor’s or Master’s degree in Computer Science , Data Science , Artificial Intelligence , or a related field.
The ideal candidate will be responsible for leading the development and deployment of machine learning models that power key business decisions such as collections models, credit risk scoring, fraud detection, customer segmentation, and personalized financial services.. Masters or Similar in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field. Expert in Python, SQL, ML libraries (Numpy, Pandas, Scikit-learn, TensorFlow, PyTorch) and techniques (Regression, Decision Trees, Ensembles: XGBoost, GBM, Random Forest, Unsupervised Learning, etc. Knowledge of MLOps frameworks (MLflow, Kubeflow, Airflow, Docker, Kubernetes) is added benefit.. Strong grasp of statistical modeling, optimization, and deep learning techniques.
Optimizing RAG pipelines, agent architectures, and LLM-powered systems. Strong Python skills with frameworks like TensorFlow, PyTorch, or JAX. Experience with big data tools (Apache Spark, Kafka, Hadoop) and MLOps platforms. Familiarity with cloud environments (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes). Technologies You Might Work With: Python, TensorFlow, PyTorch, JAX, Kubernetes, Docker, MLflow, Kubeflow, FastAPI, SQL, NoSQL, Airflow, Spark, Kafka, Hadoop, AWS (SageMaker, Lambda, S3), GCP (Vertex AI, BigQuery), Azure (ML Studio, Synapse).
Big Data Architect - Hadoop stack - Global IT Integrator Client. Apache Hadoop Cluster Apache Hive Big Data Analytics e-Commerce PayPal eBay Amazon Pig Hive Spark MapReduce Oozie Sqoop Impala Cassandra NoSQL. o 7 - 10 years+ expertise designing, developing and optimizing Big Data solutions using Hadoop stack: Hive, Spark and Pig and related tools.. o Industry experience with: Paypal, eBay, Amazon or related e-Commerce product based companies.. KEY WORDS: Apache Hadoop Cluster Apache Hive Big Data Analytics e-Commerce PayPal eBay Amazon Pig Hive Spark MapReduce Oozie Sqoop Impala Cassandra NoSQL
Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows.. 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role. Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow). More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.. Solutions Architect - Digital Native Business Solutions Architect, Conversational AI & Prompt Engineering Senior AI Solutions Engineer (pre-sales) Sunnyvale, CA $180,000.00-$205,000.00 1 week ago
Responsible for the development, enhancement, and production of various predictive and Machine Learning driven models to generate behavioral shopper insights, target audiences, and optimized customer journeys.. Knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field.. Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set.. MUST HAVE minimum 3 years of hands-on experience of SQL in Hive/Hadoop/Google Cloud Platform environments.. Practical experience in mining, analyzing and interpreting data through various statistical techniques and predictive models (e.g. Regression, Time Series, Natural Language Processing, Pattern Recognition, Classification, Segmentation, Deep Learning).
Strong project experience in Big Data, Cloudera Distribution 7. Strong project experience with Amazon EMR/Databricks/Cloudera CDP is must. 4-5 experience building data pipelines using Hadoop components Sqoop, Hive, Solr, MR, Impala, Spark, Spark SQL., HBase. 4-5 years of programming experience in Python, Java and Scala is must. Strong experience with REST API development using Python frameworks (Django, Flask etc.)
At Upscale AI, we are building the industrys first holistic marketing solution that makes it easy for DTC and e-commerce brands to run performance campaigns on Streaming TV - in a way that leverages their best brand, product & social content.. We are seeking a highly skilled Machine Learning Engineer with extensive experience in TensorFlow, PyTorch, Google Colab, reinforcement learning, generative AI, and image and video processing to join our dynamic team.. Strong proficiency in Python and deep learning frameworks such as TensorFlow and PyTorch.. Experience with natural language processing (NLP).. Machine Learning Engineer for Game Technology
We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society.. 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.. 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.
AIML - Machine Learning Engineer. The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing!. As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data) and Summarization as well as developing fundamental building blocks needed for Artificial Intelligence.. Experience working with Deep learning or LLM model development for various NLP tasks and RAG applications including prompt engineering, training data collection and generation, model fine-tuning and model evaluation. Experience working with Python and at least one of the deep learning frameworks such as TensorFlow, PyTorch, or JAX.
You will be part of a team whose focus is on applied machine learning, on building and deploying models that constantly advance the state-of-the-art.. Strong background in machine learning and deep learning; experience in speech, speaker, and/or language recognition a plus, but not required. Solid foundation in machine learning fundamentals, such as classification, feature engineering, clustering, semi-supervised learning, and domain adaptation. Proficiency in deep learning / machine learning frameworks (e.g., PyTorch, TensorFlow) and scripting languages (e.g., Python, bash), with strong software engineering fundamentals and an interest in optimizing, automating, and scaling end-to-end systems globally (e.g., PySpark, Airflow). Master’s or Ph. D. degree in electrical engineering, computer science, machine learning, language technology, or related fields; outstanding candidates with Bachelor’s degrees and multiple years of significant engineering/product experience will also be considered
Machine Learning Engineer Graduate (E-Commerce Knowledge Graph - CV/Multimodal/NLP) -2025 Start (PhD) Join to apply for the Machine Learning Engineer Graduate (E-Commerce Knowledge Graph - CV/Multimodal/NLP) -2025 Start (PhD) role at TikTok. Passion or exposure to areas like machine learning, NLP (Natural Language Processing), multimodal systems, and computer vision. Familiarity with deep learning frameworks like TensorFlow/PyTorch. Sign in to set job alerts for “Machine Learning Engineer” roles. Machine Learning Engineer, Early Stage Project Mountain View, CA $136,000.00-$185,000.00 2 weeks ago
Job Title: Senior Machine Learning Engineer. Were hiring a Machine Learning Engineer to join a fast-growing AI startup based in San Francisco , focused on transforming the way sales teams operate.. Proficiency in Python, plus experience with libraries like TensorFlow, PyTorch, Keras, scikit-learn. Strong knowledge of NLP, Deep Learning, Transformers, LLMs. Bachelor's or Masters degree in Computer Science, Machine Learning, Data Science, or related field
Palo Alto Networks is focused on enhancing cybersecurity by leveraging advanced machine learning and data science.. The Principal Machine Learning Engineer will work with a team to develop machine learning models to address emerging web security threats.. The role requires proficiency in various machine learning techniques and frameworks, as well as programming skills in Python and Java. Strong collaboration and communication skills are essential for successful teamwork and project execution.. Palo Alto Networks, the global cybersecurity leader, is shaping the cloud-centric future with technology that is transforming the way people and organizations operate.. We help address the world's greatest security challenges with continuous innovation that seizes the latest breakthroughs in artificial intelligence, analytics, automation, and orchestration.
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 Adobes go-to-market (GTM) and revenue strategies through machine learning.. Innovation & Business Impact: Apply innovative ML research, including recommender systems, reinforcement learning, predictive modeling, and causal inferenceto GTM domains.. MS or PhD in Computer Science, Machine Learning, or a related technical field.. 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).
Innovaccer is seeking a Staff Engineer specializing in Artificial Intelligence (AI) to lead the design, development, and deployment of advanced AI systems.. Design, build, and optimize machine learning (ML) and deep learning (DL) models, including generative AI frameworks like transformers and GANs.. Expertise in ML/DL frameworks like TensorFlow, PyTorch, or Keras.. Strong foundation in mathematics (linear algebra, calculus, probability) and statistics.. Experience with big data tools (Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud).
🚀 Publish, present, and patent high-impact findings in AI and machine learning.. Conduct cutting-edge research in artificial intelligence, including areas such as natural language processing, computer vision, generative models, and reinforcement learning.. Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ACL, CVPR, ICLR) is highly preferred.. Expertise in machine learning, deep learning, or statistical modeling.. Experience with model development using TensorFlow, PyTorch, JAX, or similar frameworks
Staff Machine Learning Scientist.. A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You'll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale. Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement. Own the ML development process—from data exploration and feature engineering to model training, deployment, and post-launch optimization. Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.. We’re looking for a seasoned Machine Learning Engineer to join the Data Science team at Venmo—someone who thrives on transforming complex challenges into innovative, data-driven solutions.. Advanced degree (M.S. or Ph. D.) in a quantitative field such as Computer Science, Machine Learning, Statistics, or Applied Mathematics.. Strong proficiency in Python and experience with modern ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).. Proficiency in SQL and experience working with large-scale data systems in cloud-based environments (e.g., BigQuery, Spark, Airflow).
AI Expertise: Advanced machine learning algorithms, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques.. Deep Learning Frameworks (TensorFlow, PyTorch) Innovation and Emerging Technology Trends Strategic AI Vision and Road mapping Enthusiastic about working in a fast-paced environment using the latest technologies, and passionate about HCL s dynamic and high-energy Lab culture.. To provide solution in business transformation by participating in RFP/RFI; Due Diligence; Pre Sales support and Oversee POC (4.. Data Science-Artificial Intelligence-TensorFlow. Technical Skills (APPS)-Artificial Intelligence (Testing)-Natural Language Processing-NLP(Testing)