Enable job alerts via email!

Machine Learning Engineer (Generative AI)

ConglomerateIT

Alaska

Remote

USD 90,000 - 150,000

Full time

12 days ago

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

Join a forward-thinking company as a Machine Learning Engineer focused on Generative AI. This role involves designing and deploying cutting-edge AI solutions that enhance risk assessment and customer engagement. Collaborate with a dynamic team to develop scalable APIs and utilize advanced machine learning techniques. The ideal candidate will have a strong background in Python, SQL, and experience with LLMs. If you're passionate about pushing the boundaries of technology and making a significant impact, this opportunity is perfect for you.

Benefits

Health Insurance
Flexible Working Hours
Remote Work Options
Professional Development
Paid Time Off
Retirement Plan
Wellness Programs
Team Building Activities

Qualifications

  • 5+ years of experience in machine learning or generative AI.
  • Strong expertise in Python and SQL for model development.
  • Proven experience with LLMs and RAG integration.

Responsibilities

  • Design and optimize AI models for underwriting and risk assessment.
  • Develop scalable APIs using FastAPI for AI solutions.
  • Mentor junior team members and promote technical excellence.

Skills

Python
SQL
Machine Learning
Generative AI
FastAPI
TensorFlow
PyTorch
Hugging Face
Data Visualization
LLM Prompt Engineering

Education

Master's degree in Machine Learning
Bachelor's degree in Computer Science

Tools

Docker
AWS
MLFlow
Power BI

Job description

Job Role: Machine Learning Engineer (Generative AI)
Location: Remote.
Employment Type: Full-Time / Contract (W2/1099)

About us

Conglomerate IT is a certified and a pioneer in providing premium end-to-end Global Workforce Solutions and IT Services to diverse clients across various domains. Visit us at http://www.conglomerateit.com

Our mission is to establish global cross culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of global network to connect business with the right people without bias. We provide Global Workforce Solutions with affability.

Job Summary:

Join us and be part of a team that is pushing the boundaries of GenAI and LLMs, developing high-impact solutions for underwriting, claims automation, risk analysis, and customer engagement

Key Responsibilities:

  • Design, build, deploy, and optimize Generative AI and machine learning models for high-impact applications in risk assessment, underwriting, and customer platforms.
  • Apply hands-on experience with LLMs such as OpenAI, LLaMA2, Mistral, and Mixtral to build real-world AI solutions.
  • Develop scalable, production-ready APIs and services using FastAPI.
  • Implement advanced semantic search techniques including HyDE, MMR, and LLM re-ranking, using embedding models like MPNET and OpenAI Ada.
  • Utilize LangChain, Haystack, and agentic workflows to build modular AI pipelines.
  • Integrate LLMs with RAG (Retrieval-Augmented Generation) architectures for advanced document retrieval and question-answering systems.
  • Work collaboratively with engineering and DevOps teams to ensure seamless deployment using AWS tools such as SageMaker, Bedrock, Comprehend, and S3.
  • Maintain high standards in code quality, model management, and version control using Python, SQL, Docker, Git, and MLFlow.
  • Stay current with the latest advancements in GenAI and machine learning to shape future technology roadmaps.
  • Mentor junior team members and promote a culture of technical excellence and continuous learning.
  • Effectively communicate complex technical findings to both technical and non-technical audiences using reports, dashboards, and visualizations.

Required Qualifications:

  • Master's degree in Machine Learning, Computer Science, Mathematics, Statistics, or a related quantitative discipline.
  • 5+ years of hands-on experience in developing and deploying machine learning or generative AI models, preferably in the insurance, healthcare, or finance industries.
  • Strong expertise in Python and SQL, with a solid foundation in classical machine learning and deep learning methods.
  • Proven experience with LLM prompt engineering, fine-tuning, evaluation, and RAG integration.
  • Proficiency with leading AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, Keras, and FastAPI.
  • Experience operationalizing models in real-world production environments.
  • Familiarity with Power BI, vector databases, and tools for data visualization and monitoring.
  • Ability to quickly adopt new tools, frameworks, and adapt to evolving project scopes in a dynamic team setting.

Founded in 2014, ConglomerateIT is a global leader in delivering innovative IT solutions and services. Headquartered in the USA with a presence in the UK, Canada, and India, we specialize in offering industry-leading expertise and cutting-edge products that help our clients maximize their technological investments. Our focus on best-in-class solutions, a highly knowledgeable team, and proactive talent mapping ensure we remain at the forefront of the IT industry.

ConglomerateIT is driven by our Center for Excellence and Innovation, an initiative dedicated to keeping us ahead in a rapidly evolving technology landscape. We understand that building strong relationships is key to our success, and this commitment has enabled us to partner with Fortune 500 companies and leading system integrators worldwide. Our ability to provide local talent on a global scale ensures that we can meet the contingent project requirements of our clients efficiently and effectively.

As a strategic extension of ConglomerateIT, Conglomerate Healthcare specializes in international healthcare recruitment. Leveraging our global reach and deep industry expertise, we connect healthcare organizations with top-tier talent, including Physicians, Nurses, and Medical Technicians. Our carefully curated talent pool includes Western-qualified Physicians, licensed Nurses, and highly skilled Medical Technicians who bring excellence and expertise to healthcare facilities worldwide.

Key Healthcare Services
  • Physicians Recruitment: We connect healthcare facilities with Western-qualified physicians who deliver exceptional expertise and care.
  • Nurses Recruitment: We identify and place highly qualified licensed nurses who meet the highest standards of care.
  • Medical Technician Recruitment: We provide healthcare institutions with access to certified and skilled medical technicians who support critical healthcare operations.

Conglomerate Healthcare operates as an integral part of ConglomerateIT's mission to deliver excellence across multiple sectors, further solidifying our position as a global leader in recruitment and IT solutions.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.

Similar jobs

Sr. Machine Learning Engineer – Gen AI

ConglomerateIT

Remote

USD 120,000 - 160,000

Yesterday
Be an early applicant

Machine Learning Engineer with Generative AI

PETADATA

Las Vegas

Remote

USD 90,000 - 150,000

4 days ago
Be an early applicant

Senior Machine Learning Engineer Remote - US

Infinite Reality, Inc.

Remote

USD 145,000 - 157,000

Today
Be an early applicant

Sr Machine Learning Engineer - REMOTE

RealPage, Inc.

Richardson

Remote

USD 120,000 - 160,000

4 days ago
Be an early applicant

Senior Machine Learning Engineer

Calix

Remote

USD 116,000 - 227,000

3 days ago
Be an early applicant

Senior Machine Learning Engineer

Infinite Reality

Remote

USD 133,000 - 151,000

6 days ago
Be an early applicant

Mid - Senior Machine Learning Engineer

ZipRecruiter

New York

Remote

USD 90,000 - 150,000

13 days ago

Remote Senior Machine Learning Engineer Needed at Cohere Health Cohere Health

Digitaltidewave

Remote

USD 145,000 - 170,000

6 days ago
Be an early applicant

Sr. Machine Learning Engineer

Mr. Cooper

Lewisville

Remote

USD 80,000 - 120,000

5 days ago
Be an early applicant