Karkidi
GenAI Lead Developer
Karkidi, Oklahoma City, Oklahoma, United States,
Join the IT-AI team to help drive productivity by leveraging the power of foundation and custom LLM models. This role will drive the implementation of GenAI use cases across the company by ensuring we leverage the best-in-class models, frameworks, and techniques. You will work directly with teams across HPE around model performance evaluations, developing demos and proof-of-concepts of GenAI end applications/use cases with large models.Technical depth as well as business experience is necessary to articulate the potential and challenges of GenAI models and applications to both engineering teams and business users.This is an opportunity to be at the forefront of technological transformations, as a key technical leader. You will help develop & grow the GenAI strategy at HPE.About the Job:
Use-Case Implementation: Prototype and build solutions to drive employee & team productivity. Deploy GenAI workloads on Azure stack and integrate with systems.Prompt Engineering: Craft effective prompts and instructions to guide models towards desired outputs, ensuring coherence, factual accuracy, and alignment with ethical considerations.Model Optimization: Leverage techniques like RAG, Fine tuning to optimize models.Output Evaluation and Refinement: Assess the quality and safety of generated content, identify, and mitigate biases, and refine outputs for specific applications.Collaboration and Communication: Work closely with engineers and business pods to define project goals, interpret results, and communicate complex technical concepts to diverse stakeholders.Staying Ahead of the Curve: Proactively monitor the latest advancements in Generative AI research, identify and evaluate new techniques, and contribute to the continuous improvement of the team's capabilities.Mentor: Coach broader HPE team members on the latest GenAI landscape and techniques.About You:
Deep familiarity across the stack – compute infrastructure, ML frameworks, orchestration layers, large models, frameworks like LangChain for developing applications powered by GenAI models, MLOPs, as well as target use cases in the cloud.Experience with GenAI models across training, inference, MLOPs, and/or developing GenAI applications.Experience with data engineering techniques and different platforms including vector DB & knowledge graphs.Experience with one or more general purpose programming languages, including but not limited to: C/C++, C#, Python.Experience training large models across compute types and developing applications powered by GenAI models.Experience with prompt engineering and the ability to craft effective prompts for various applications.Familiarity with ethical considerations in AI development and deployment.Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences.Ability to work alone and as part of a team in a fast-paced environment.Experience with cloud computing platforms like AWS, Azure, or GCP.Experience in training and optimizing Generative AI models (GANs, VAEs, diffusion models, etc.) is a plus.Hands-on understanding of deep learning, loss functions, and optimization techniques and other ML algorithms and infrastructure is a plus.Additional Skills:
Accountability, Action Planning, Active Learning, Active Listening, Agile Methodology, Bias, Business, Coaching, Creativity, Critical Thinking, Cybersecurity, Data Analysis Management, Data Collection Management, Data Controls, Design Thinking, Development Methodologies, Empathy, Follow-Through, Growth Mindset, Implementation Methodologies, Infrastructure Design, Intellectual Curiosity, Long Term Planning, Managing Ambiguity.What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.Diversity, Inclusion & Belonging
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.Job Details:
Job: Information TechnologyJob Level: MasterCompensation:
The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered.USD Annual Salary: $113,000.00 - $259,500.00Equal Employment Opportunity:
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.
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Use-Case Implementation: Prototype and build solutions to drive employee & team productivity. Deploy GenAI workloads on Azure stack and integrate with systems.Prompt Engineering: Craft effective prompts and instructions to guide models towards desired outputs, ensuring coherence, factual accuracy, and alignment with ethical considerations.Model Optimization: Leverage techniques like RAG, Fine tuning to optimize models.Output Evaluation and Refinement: Assess the quality and safety of generated content, identify, and mitigate biases, and refine outputs for specific applications.Collaboration and Communication: Work closely with engineers and business pods to define project goals, interpret results, and communicate complex technical concepts to diverse stakeholders.Staying Ahead of the Curve: Proactively monitor the latest advancements in Generative AI research, identify and evaluate new techniques, and contribute to the continuous improvement of the team's capabilities.Mentor: Coach broader HPE team members on the latest GenAI landscape and techniques.About You:
Deep familiarity across the stack – compute infrastructure, ML frameworks, orchestration layers, large models, frameworks like LangChain for developing applications powered by GenAI models, MLOPs, as well as target use cases in the cloud.Experience with GenAI models across training, inference, MLOPs, and/or developing GenAI applications.Experience with data engineering techniques and different platforms including vector DB & knowledge graphs.Experience with one or more general purpose programming languages, including but not limited to: C/C++, C#, Python.Experience training large models across compute types and developing applications powered by GenAI models.Experience with prompt engineering and the ability to craft effective prompts for various applications.Familiarity with ethical considerations in AI development and deployment.Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences.Ability to work alone and as part of a team in a fast-paced environment.Experience with cloud computing platforms like AWS, Azure, or GCP.Experience in training and optimizing Generative AI models (GANs, VAEs, diffusion models, etc.) is a plus.Hands-on understanding of deep learning, loss functions, and optimization techniques and other ML algorithms and infrastructure is a plus.Additional Skills:
Accountability, Action Planning, Active Learning, Active Listening, Agile Methodology, Bias, Business, Coaching, Creativity, Critical Thinking, Cybersecurity, Data Analysis Management, Data Collection Management, Data Controls, Design Thinking, Development Methodologies, Empathy, Follow-Through, Growth Mindset, Implementation Methodologies, Infrastructure Design, Intellectual Curiosity, Long Term Planning, Managing Ambiguity.What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.Diversity, Inclusion & Belonging
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.Job Details:
Job: Information TechnologyJob Level: MasterCompensation:
The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered.USD Annual Salary: $113,000.00 - $259,500.00Equal Employment Opportunity:
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.
#J-18808-Ljbffr