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We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Job DescriptionJob Description
About Snowpeak AI
Are you eager to make a significant impact in the ever-evolving AI landscape? Join Snowpeak AI, a dynamic leader in AI innovation, as a
Senior Data Scientist . You'll work alongside a top-tier AI team to harness data, advanced analytics, and cutting-edge models to fuel strategic growth and deliver real-world impact. This is your chance to lead data-driven transformation, build intelligent systems, and push the boundaries of conversational AI and automation.
We seek a versatile expert with deep proficiency in
conversational AI, LLMs ,
agentic AI, retrieval systems , and end-to-end ML development, combined with a relentless drive to learn, experiment, and solve complex problems. From designing RAG-powered chatbots to securing data pipelines, you'll own critical initiatives that power our AI-enabled operators and customer solutions. Please note that we are a fully on-site environment based in Irvine, CA.
Key Responsibilities:
Design, build, and refine conversational AI systems using retrieval-augmented (RAG), combining large models (LLMs) with vector search and retrieval.
Develop data ingestion and embedding pipelines to support scalable, efficient information retrieval.
Fine-tune and adapt LLMs for domain-specific use cases, covering prompt engineering, instruction tuning, and low-rank adaptation (LoRA).
Integrate AI models into CRMs, workflow platforms and vendor management systems.
Own the end-to-end development of machine learning algorithms, from data collection and feature engineering to model training, validation, and performance tuning.
Research and prototype emerging ML architectures and retrieval strategies to enhance performance.
Resolve and rerank RAG's training material data for a single source of truth.
Translate business requirements into robust, data-driven technical solutions with measurable outcomes.
Collaborate with engineering teams to deploy, scale, and monitor AI systems across the organization.
Identify new opportunities to embed machine learning into business processes and workflows.
Partner with Product, Marketing, Finance, Risk, and Operations to define and track key performance metrics.
Continuously improve data pipelines for accuracy, accessibility, and scalability.
Support cross-functional data science initiatives and perform additional duties as needed.
Other duties as assigned.
Qualifications & Requirements:
Education:
Bachelor's degree in a quantitative or technical field; Master's or Ph.D. .
8+ years of professional experience in
data science, AI, or applied machine learning .
Proven experience in
designing and building Voice AI systems and/or chatbots , including speech recognition, conversational agents, and real-time dialogue models.
Hands-on proficiency with leading
machine learning and deep learning frameworks , such as
LangChain, Hugging Face, TensorFlow, PyTorch, Keras, scikit-learn, and pandas .
7+ years
of strong programming expertise in
Python/Pyspark and SQL , with proven experience
deploying AI solutions in cloud environments
(AWS or Google Cloud Platform).
2+ years
of practical experience working with MCP,
LLMs, generative AI, and conversational AI frameworks
(e.g., LangChain, LangGraph, RAG, Vector Databases, AutoGen, CrewAI).
5+ years
of specialization in at least one area of
advanced modeling
- predictive analytics, recommendation engine, reinforcement learning, natural processing (NLP), or causal inference.
4+ years
of experience translating complex AI and data science concepts into
tangible business outcomes , including stakeholder engagement and value quantification.
4+ years
leading
end-to-end AI solution delivery , from data architecture and model orchestration to front-end integration and user adoption.
Demonstrated excellence in
communication, storytelling, and customer engagement , with the ability to present technical insights in a clear and impactful manner.
Experience developing
agentic AI systems
for conversational analytics, autonomous reporting, or intelligent decision support.
Proven ability to
design, train, and deploy machine learning models
for real-world applications.
Strong expertise in
data acquisition, preprocessing, and quality assurance
for enterprise or industry-scale use cases.
Bonus Points:
Strong data analysis and visualization skills.
Practical knowledge of data engineering.
A proactive and open mindset with a willingness to learn and adapt to emerging technologies and techniques.
Compensation
The hourly rate for this position is $130k - $170k+ (depending on experience).
Benefits at Snowpeak AI
Competitive health, vision, and dental benefits (covering 100% premium for employee and all dependent(s))
401K (with employer matching)
Health and wellness reimbursement
Catered lunches 5x times a week
Work sponsorship (if applicable)
Other employee perks
As part of our dedication to the of our workforce, Snowpeak AI is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of , , , creed, or ancestry, , , , expression, , , physical or mental , medical condition, marital/domestic partner status, military and veteran status, genetic information or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Job DescriptionJob Description
About Snowpeak AI
Are you eager to make a significant impact in the ever-evolving AI landscape? Join Snowpeak AI, a dynamic leader in AI innovation, as a
Senior Data Scientist . You'll work alongside a top-tier AI team to harness data, advanced analytics, and cutting-edge models to fuel strategic growth and deliver real-world impact. This is your chance to lead data-driven transformation, build intelligent systems, and push the boundaries of conversational AI and automation.
We seek a versatile expert with deep proficiency in
conversational AI, LLMs ,
agentic AI, retrieval systems , and end-to-end ML development, combined with a relentless drive to learn, experiment, and solve complex problems. From designing RAG-powered chatbots to securing data pipelines, you'll own critical initiatives that power our AI-enabled operators and customer solutions. Please note that we are a fully on-site environment based in Irvine, CA.
Key Responsibilities:
Design, build, and refine conversational AI systems using retrieval-augmented (RAG), combining large models (LLMs) with vector search and retrieval.
Develop data ingestion and embedding pipelines to support scalable, efficient information retrieval.
Fine-tune and adapt LLMs for domain-specific use cases, covering prompt engineering, instruction tuning, and low-rank adaptation (LoRA).
Integrate AI models into CRMs, workflow platforms and vendor management systems.
Own the end-to-end development of machine learning algorithms, from data collection and feature engineering to model training, validation, and performance tuning.
Research and prototype emerging ML architectures and retrieval strategies to enhance performance.
Resolve and rerank RAG's training material data for a single source of truth.
Translate business requirements into robust, data-driven technical solutions with measurable outcomes.
Collaborate with engineering teams to deploy, scale, and monitor AI systems across the organization.
Identify new opportunities to embed machine learning into business processes and workflows.
Partner with Product, Marketing, Finance, Risk, and Operations to define and track key performance metrics.
Continuously improve data pipelines for accuracy, accessibility, and scalability.
Support cross-functional data science initiatives and perform additional duties as needed.
Other duties as assigned.
Qualifications & Requirements:
Education:
Bachelor's degree in a quantitative or technical field; Master's or Ph.D. .
8+ years of professional experience in
data science, AI, or applied machine learning .
Proven experience in
designing and building Voice AI systems and/or chatbots , including speech recognition, conversational agents, and real-time dialogue models.
Hands-on proficiency with leading
machine learning and deep learning frameworks , such as
LangChain, Hugging Face, TensorFlow, PyTorch, Keras, scikit-learn, and pandas .
7+ years
of strong programming expertise in
Python/Pyspark and SQL , with proven experience
deploying AI solutions in cloud environments
(AWS or Google Cloud Platform).
2+ years
of practical experience working with MCP,
LLMs, generative AI, and conversational AI frameworks
(e.g., LangChain, LangGraph, RAG, Vector Databases, AutoGen, CrewAI).
5+ years
of specialization in at least one area of
advanced modeling
- predictive analytics, recommendation engine, reinforcement learning, natural processing (NLP), or causal inference.
4+ years
of experience translating complex AI and data science concepts into
tangible business outcomes , including stakeholder engagement and value quantification.
4+ years
leading
end-to-end AI solution delivery , from data architecture and model orchestration to front-end integration and user adoption.
Demonstrated excellence in
communication, storytelling, and customer engagement , with the ability to present technical insights in a clear and impactful manner.
Experience developing
agentic AI systems
for conversational analytics, autonomous reporting, or intelligent decision support.
Proven ability to
design, train, and deploy machine learning models
for real-world applications.
Strong expertise in
data acquisition, preprocessing, and quality assurance
for enterprise or industry-scale use cases.
Bonus Points:
Strong data analysis and visualization skills.
Practical knowledge of data engineering.
A proactive and open mindset with a willingness to learn and adapt to emerging technologies and techniques.
Compensation
The hourly rate for this position is $130k - $170k+ (depending on experience).
Benefits at Snowpeak AI
Competitive health, vision, and dental benefits (covering 100% premium for employee and all dependent(s))
401K (with employer matching)
Health and wellness reimbursement
Catered lunches 5x times a week
Work sponsorship (if applicable)
Other employee perks
As part of our dedication to the of our workforce, Snowpeak AI is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of , , , creed, or ancestry, , , , expression, , , physical or mental , medical condition, marital/domestic partner status, military and veteran status, genetic information or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.