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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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Deep knowledge in the Machine Learning and data space including designing, building, optimizing and scaling data-intensive Client solutions using distributed computing. Expertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, Snowflake, or other big data systems.
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Examples include MPP data warehouses like Snowflake and Amazon Redshift and all-in-one Apache Spark platforms like Databricks. Examples include Azure Machine Learning Studio, Google’s Vertex AI, IBM Watson Studio, Amazon SageMaker and open-source tools like Kubeflow.
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Proven leadership experience in data engineering and machine learning engineering roles, with extensive experience leading remote-first teams. Oversee the design, development, and maintenance of data infrastructure using platforms like Snowflake, Adtran, Databricks, SQL, COSMOS DB, Apache Kafka, Hadoop, Spark, DBT (Data Build Tool) and cloud data services (AWS, GCP, Azure.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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AWS (Redshift, Aurora, Glue), Google (BigQuery), MongoDB, Cassandra, Snowflake, Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), Apache Hadoop & Spark, MapR, Cloudera/Hortonworks, etc.
$237,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Movement (Apache Spark, plus Azure Data Factory and legacy SSIS) Additional Preferred Experience Machine Learning/AI Practitioner expertise, including. Knowledge of Databricks development, including Scala, Python, and Spark.
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Knowledge of Deep Learning and Machine Learning techniques, and experience in Machine Learning tools, techniques and programming (including LLM - Large Language Models) is a plus.
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Champion thought leadership in growth marketing tactics and activation strategies. Demonstrate a deep understanding of various business models and apply growth marketing principles to solve client challenges.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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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.
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
$163,200 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge of SQL, Tableau, Advanced Excel, Jira, Archer, MS tool Suite, Robotics, Machine learning. Gain hands-on experience in areas such as data analysis, data engineering, software development, business analysis, project management, cloud, AI and machine learning.
$27.4 an hourInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expert proficiency in Python, SQL, git and common data science and machine learning libraries. Experience applying several data science techniques: Forecasting, Recommendation Systems, Logistics Optimization, Churn Analysis, Segmentation Analysis, Deep Learning.
$177,100 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with machine learning, specifically in the domain of natural language processing (NLP). As a key member of the Standardized Operations and Analytics group, this position will have a keen interest in applying statistical analysis, data mining, and incorporation of machine learning and predictive analytics into real-world operational processes, especially in forecasting, staffing optimization, and process design.
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Deep understanding and experience with advanced analytics, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) or Computer Vision (at least 3 of these areas.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience applying machine learning or other signal processing techniques to noisy sensor data in real-time, interactive applications (e.g., IMU, cameras, EMG) PhD with 3+ years of experience in Deep Learning, Robotics, Statistics, Computer Science, Signal Processing, or a related area.
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