Job Description
Requirements:
• 10 or more years of experience as a Data Engineer or Scientist.
• Extensive experience with RAG is absolutely mandatory.
• Expert proficiency in NLP (Keras, PyTorch and/or TensorFlow).
• Experience with AWS Services (S3, EC2, Lambda etc) is a must.
• Experience with Deep Learning and API Development is a must.
• Experience with Python and Vector stores is required.
• Excellent verbal and written communication skills.
Responsibilities:
• Build RAG-based applications and integrate models with existing systems and APIs.
• Fine-tune and deploy large language models for legal text processing.
• Build pipelines for preprocessing, annotating, and managing legal datasets.
• Collaborate with legal experts to align models with domain-specific needs.
• Conduct experiments and evaluate model performance for improvements.
• Interface with technical teams to finalize software requirements.
• Implement coding best practices and code reviews for production environments.
Founded in 1+++, Resource soft, Inc. is a leading Technology Consulting and Professional Services organization. Headquartered in Marlborough, MA, the company serves the technology needs of its clients nationwide. Resource soft has often been recognized by prominent rating agencies for its exemplary growth and stability. With over two decades of industry experience, the Company has evolved as a front runner in enabling project optimization. We partner with leading organizations to provide technology solutions within the financial, insurance, education, government, publishing, healthcare and pharmaceutical domains. We take pride in mentoring a workforce that is well positioned to respond to the emerging IT trends and needs. With the employees at the crux of every business endeavor, our success is driven by our expertise in pairing the right talent with the best jobs in the technology sector. We forge long term, personalized relationships with our employees to advance their career to the next level. We engage them in technology centric client projects that provide opportunities for them to evolve, innovate and deliver world class products and services. Our career opportunities offer challenging assignments and exposure to emerging and cutting-edge technologies. We are committed to providing our employees with the tools necessary to accelerate their career progression, while maintaining a healthy, work-life balance. We are deeply committed to providing a workplace ambience that is both challenging and fulfilling.
Resource soft is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, ****** orientation, gender identity, national origin, age, protected veteran status, or disability status.
For more information about Resourcesoft and our services, please visit our website.
LLM/RAG Scientist
• 10 or more years of experience as a Data Engineer or Scientist.
• Extensive experience with RAG is absolutely mandatory.
• Expert proficiency in NLP (Keras, PyTorch and/or TensorFlow).
• Experience with AWS Services (S3, EC2, Lambda etc) is a must.
• Experience with Deep Learning and API Development is a must.
• Experience with Python and Vector stores is required.
• Excellent verbal and written communication skills.
Responsibilities:
• Build RAG-based applications and integrate models with existing systems and APIs.
• Fine-tune and deploy large language models for legal text processing.
• Build pipelines for preprocessing, annotating, and managing legal datasets.
• Collaborate with legal experts to align models with domain-specific needs.
• Conduct experiments and evaluate model performance for improvements.
• Interface with technical teams to finalize software requirements.
• Implement coding best practices and code reviews for production environments.
Founded in 1+++, Resource soft, Inc. is a leading Technology Consulting and Professional Services organization. Headquartered in Marlborough, MA, the company serves the technology needs of its clients nationwide. Resource soft has often been recognized by prominent rating agencies for its exemplary growth and stability. With over two decades of industry experience, the Company has evolved as a front runner in enabling project optimization. We partner with leading organizations to provide technology solutions within the financial, insurance, education, government, publishing, healthcare and pharmaceutical domains. We take pride in mentoring a workforce that is well positioned to respond to the emerging IT trends and needs. With the employees at the crux of every business endeavor, our success is driven by our expertise in pairing the right talent with the best jobs in the technology sector. We forge long term, personalized relationships with our employees to advance their career to the next level. We engage them in technology centric client projects that provide opportunities for them to evolve, innovate and deliver world class products and services. Our career opportunities offer challenging assignments and exposure to emerging and cutting-edge technologies. We are committed to providing our employees with the tools necessary to accelerate their career progression, while maintaining a healthy, work-life balance. We are deeply committed to providing a workplace ambience that is both challenging and fulfilling.
Resource soft is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, ****** orientation, gender identity, national origin, age, protected veteran status, or disability status.
For more information about Resourcesoft and our services, please visit our website.
LLM/RAG Scientist
💡 Quick Summary
Seeking a career-building opportunity? The LLM|RAG Scientist position is now open for candidates interested in the Work from home Jobs sector. This role in New York City offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.
