Data Scientist / AI / Gen AI / Software Engineer / LLM / ML / Machine Learning / Solutions Architect

BSL Consulting; United States; Hybrid; USD 125,000 - 165,000; Full time

Job summary

BSL Consulting seeks talented Data Scientists and Software Engineers with deep expertise in AI and machine learning technologies. Opportunities exist across roles involving the development and deployment of cutting-edge Gen-AI solutions in a hybrid work environment. A collaborative approach to problem-solving and a passion for innovation in the insurance domain are essential. Join a team dedicated to excellence in advanced analytics and machine learning.

Qualifications

• Experience in ML, DL, and NLP, specifically in the insurance domain.
• Familiar with cloud platforms and containerization technologies like Docker.
• Strong understanding of SDLC and agile methodologies.

Responsibilities

• Develop and deploy AI/ML solutions across various software applications.
• Lead integration strategies for generative AI models.
• Collaborate with teams to define solution requirements.

Skills

Python

NLP techniques

Machine Learning

Deep Learning

Gen-AI

Tools

AWS SageMaker

Databricks

Palantir Foundry

OpenAI

Job description

Data Scientist / AI / Gen AI / Software Engineer / LLM / ML / Machine Learning / Solutions Architect

Data Scientist / AI / Gen AI / Software Engineer / LLM / ML / Machine Learning / Solutions Architect

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Location : Atlanta, GA (Hybrid - 3 Days a week)

• Should have developed propensity models within insurance business domain
• Should be proficient at Python
• Should have prior experience in AWS SageMaker, Databricks, etc.
• Should be familiar with NLP techniques (OCR based text extraction, document classification, document summarization)
• Palantir Foundry and AIP experience is a plus

Role : Data Scientist (GenAi)

Type : Contract

Location : Atlanta, GA/NYC (Hybrid - 3 Days a week)

• A strong AI and ML engineer with vast experience in ML, DL, NLP and Gen-AI solutions
• Should have insurance domain experience (specifically Underwriting/Claims)
• Should be proficient at Python
• Should have prior experience in AWS SageMaker, Databricks, etc.
• Should be experienced with NLP techniques (OCR based text extraction, document classification, document summarization)
• Should have prior experience around LLMs and Gen-AI projects
• Palantir Foundry and AIP experience is a plus

Role : Full Stack Software Engineer (GenAi SDLC)

Type : Contract

Location : Charlotte (Hybrid - 3 Days a week)

• Develop and deploy GenAI-powered features across the full stack (front-end, back-end, databases).
• Implement and manage CI/CD pipelines optimized for GenAI model deployment.
• Integrate GenAI models (LLMs, etc.) into existing and new software systems.
• Ensure data pipelines for GenAI model training and inference are efficient and reliable.
• Write clean, testable, and well-documented code.
• Troubleshoot and resolve issues across the full stack and GenAI integrations.
• Stay current with GenAI advancements and full-stack technologies
• Strong experience with front-end frameworks (e.g., React, Angular, Vue.js).
• Solid back-end development skills (e.g., Node.js, Python frameworks like Flask/Django, Spring).
• Experience with databases (SQL, NoSQL).
• Familiarity with cloud platforms (AWS).
• Understanding of SDLC principles and agile methodologies.
• Hands-on experience integrating AI/ML models into applications.
• Understanding of Generative AI concepts (LLMs, transformers, etc.).work with Agentic AI framework or other Gen AI models/APIs (e.g., OpenAI, Hugging Face, Google Vertex AI).
• Experience with containerization (Docker, Kubernetes)

Role : Solution Architect (SDLC)

Type : Contract

Location : Charlotte (Hybrid - 3 Days a week)

• Lead and manage a team of developers in a fullstack development environment. * Define the integration strategy for GenAI models (LLMs, etc.) into existing and new systems.
• Lead the technical vision and roadmap for GenAI solutions within the SDLC.
• Define data pipelines and infrastructure requirements for GenAI model training, deployment, and monitoring.
• Ensure alignment of GenAI solutions with business needs and technical feasibility.
• Collaborate with engineering, data science, and product teams to define solution requirements.
• Develop, enhance, and maintain applications using Python, Angular, and Java.
• Integrate and work with Agentic AI framework or other Gen AI models/APIs (e.g., OpenAI, Hugging Face, Google Vertex AI).
• Design and deploy scalable microservices-based solutions.
• Collaborate with Product Owners, DevOps, and QA teams in an Agile environment.
• Ensure code quality through peer reviews, test automation, and best practices.
• Contribute to architectural decisions and technical strategies.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Engineering, Consulting, and Information Technology

• Industries

  Business Consulting and Services and IT Services and IT Consulting

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