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Open nowPosted 365 days ago

Machine Learning Engineer

ScaleneWorks INC

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Your applicationOpen nowMachine Learning EngineerScaleneWorks INC

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 365 days ago

The posting

Not specified

## Company Overview (Company details are not provided.)

## Job Summary The role requires a seasoned professional with extensive experience in machine learning and deep learning, specifically with production-level projects. The candidate will contribute to innovative AI solutions and employ cutting-edge technologies to elevate the organization’s capabilities in advanced AI applications.

## Responsibilities - Lead and implement machine learning and deep learning projects within a production environment. - Develop and manage Reasoning Agentic AI and data science models. - Utilize OpenAI, Azure AI services, and GEMINI models for advanced AI applications. - Conduct exploratory data analysis (EDA) and apply strong data engineering practices. - Ensure the integrity of insights derived from unstructured and structured data, focusing on hallucination control. - Collaborate with cross-functional teams to deliver AI solutions that meet business needs.

## Qualifications - Educational Background: Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field (advanced degrees preferred). - Technical Skills: - Over 15 years of experience in machine learning and deep learning. - 1-2 years in Generative AI (GenAI) and Agentic AI with live project experience. - Proficiency in Reasoning Agentic AI, EDA, and data science models. - Expertise in Azure AI services and OpenAI technologies. - Strong knowledge of Monte Carlo Tree simulation and Graph AI. - Hands-on experience with LangChain and Python. - Familiarity with ServiceNow and advanced data engineering techniques, including SLM/LLM, RAG, and Graph RAG. - Must-Have Skills: - Proven problem-solving capabilities in computer vision, reasoning, causation, and correlation. - Advanced knowledge of evolved Graph RAG and RAG solutions. - Expertise in handling unstructured and structured data insights.

## Preferred Skills - Relevant certifications such as: - Certified Artificial Intelligence (AI) Expert™ - Certified Generative AI Expert™ - Applied Generative AI Certificate - Certified Prompt Engineer™ - Management skills and ability to lead teams effectively.

## Experience Minimum of 15 years in machine learning and deep learning environments, with substantial hands-on experience in implementing live projects.

## Environment (Work setting details are not provided. Please check the company's policies on remote or in-office work.)

## Salary (Salary details are not specified.)

## Growth Opportunities (Information on career advancement within the company is not provided.)

## Benefits (Details of offered benefits are not specified.)

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