Machine Learning Solutions Architect

Posted 3 months agoViewed

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💎 Seniority level: Senior, At least 6 years

📍 Location: United States, Latin America, India

🔍 Industry: Data solutions and technology consulting

🏢 Company: phData👥 501-1000💰 $2,499,997 Seed about 7 years agoInformation Services Analytics Information Technology

🗣️ Languages: English

⏳ Experience: At least 6 years

🪄 Skills: AWSDockerLeadershipPythonSoftware DevelopmentSQLDjangoFlaskGCPJavaKafkaKerasKubernetesMachine LearningMLFlowMySQLOracleQASAPSnowflakeSpringAzureData scienceRDBMSSparkTensorflowLinuxPresentation skillsDocumentationScalaSoftware Engineering

Requirements:

At least 6 years experience as a Machine Learning Engineer, Software Engineer, or Data Engineer.
4-year Bachelor's degree in Computer Science or a related field.
Experience deploying machine learning models in a production setting.
Expertise in Python, Scala, Java, or another modern programming language.
Strong working knowledge of SQL and ability to write, debug, and optimize distributed SQL queries.
Hands-on experience in big data products/languages such as Spark, Snowflake, Databricks.
Familiarity with multiple data sources (e.g. JMS, Kafka, RDBMS).
Systems-level knowledge in network/cloud architecture and operating systems.
Production experience in core data technologies (e.g. Spark, Snowflake).
Complete software development lifecycle experience.

Responsibilities:

Designing and implementing data solutions best suited to deliver on customer needs across an evolving technical stack.
Providing thought leadership by recommending the technologies and solution design for specific use cases.
Creating environments for data scientists to build models and manipulate data.
Defining deployment approaches and infrastructure for models.
Demonstrating the business value of data through collaboration with data scientists.
Creating operational testing strategies and ensuring the quality of delivered products.

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Design and create environments for data scientists to build models and manipulate data
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Define the deployment approach and infrastructure for models and be responsible for ensuring that businesses can use the models we develop
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Create operational testing strategies, validate and test the model in QA, and implementation, testing, and deployment
Ensure the quality of the delivered product

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🔥 (Senior to Principal) Machine Learning Solutions Architect

Posted 20 days ago

📍 United States, Canada

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💸 225000.0 - 280000.0 USD per year

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🏢 Company: Gretel👥 51-100💰 $52,199,996 Series B over 3 years agoArtificial Intelligence (AI)Data Collection and Labeling Machine Learning Privacy Generative AI Information Technology Software

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5+ years of experience in a technical customer-facing role serving Enterprise customers and showcasing a track record of successful technical sales scoping, design, and implementation.
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