5 jobs for "Machine Learning Engineer - Proactive"

DNASURE_ExxonMobil - Machine Learning Engineer - TL Mexico

At Infosys - Guadalajara

Posted on Nov 6

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GenAI Engineer

At Infosys - Charlotte

Posted on Nov 4

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Senior Software Development Engineer - Big Data

At Zillow - Remote / Flexible

Posted on Nov 5

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Hardware Engineer

At Eaton - Shenzhen

Posted on Nov 5

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Principal Cloud Engineer

At Fidelity Investments - Westlake

Posted on Nov 4

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Infosys

GenAI Engineer

CharlottePosted 5 days ago

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In the assigned Job Role of Data Science Consultant 1, your Area Of Responsibility will be as below:
• Participate in data extraction, transformation, and preparation.
• Resolve common data issues and ensure quality for model development.
• Participate in developing models using statistical or machine learning techniques and collaborate with technology teams to operationalize them into analytics tools or scripts.
• Participate in model testing and validation, selecting the best-performing algorithms based on statistical and business metrics.
• Participate in the development of advanced analytics and machine learning or deep learning models including LLMs using predefined processes and tools like SAS and R/ Python.
• Participate in defining analytics problems; execute visualization, analysis, and predictive modeling with senior support.
• Identify data sources and extract from RDBMS and develop UI/UX for client usage.
• Participate in model performance, while making minor adjustments, and escalate risks or compliance concerns and generate reports on deviations or schedule slippages.
• Proactively participate in detailed documentation of model development, testing, and deployment activities for reproducibility.
• Work closely with business and technology teams to translate requirements into actionable models, while communicating results effectively.
• Apply predefined quality measurement frameworks, if any, to individual project tasks.
• Participate in deploying analytics tools in test and production environment, while ensuring they meet operational requirements.

Your contribution to the team:

• Strong analytical and problem-solving mindset with hands-on model development skills.
• Ability to translate business needs into actionable analytics solutions.
• Focus on data quality, validation and performance optimization.
• Effective collaboration with business and technology stakeholders.
• Commitment to continuous learning, knowledge sharing, fostering team development.

About Infosys

https://www.infosys.com

Size: 10,000+ employees
Industry: Consulting

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