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👉 Remote Jobs NetworkMission Cloud Services is an AWS Premier Tier Services Partner and Cloud Managed Services Provider.
Managed DevOps • Serverless Consulting • Continuous Engagement • Windows Migration Expertise • Containers Consulting
201 - 500
August 9
Mission Cloud Services is an AWS Premier Tier Services Partner and Cloud Managed Services Provider.
Managed DevOps • Serverless Consulting • Continuous Engagement • Windows Migration Expertise • Containers Consulting
201 - 500
• Facilitate design sessions with the Mission Cloud team to create the strategy, architecture, and implementation plan for generative AI implementation • Design, develop, and deploy generative AI models that demonstrate high performance and efficiency in solving complex problems • Collaborate with data scientists, engineers, and domain experts to integrate generative AI solutions into existing systems or products • Implement and fine-tune existing generative AI algorithms and models to meet specific use-case requirements, including scalability and resource efficiency • Conduct thorough testing and validation of generative AI solutions to ensure accuracy, reliability, and robustness • Communicate proposed solutions to internal team so they understand the benefits, translating technical elements into business language • Develop strategic roadmaps and project plans based on Mission goals • Work with Project Managers to set customer expectations, drive alignment, and coordinate timelines • Explore and experiment with the latest advancements in generative AI research to improve system performance and capabilities • Stay up-to-date with the latest trends, tools, and technologies in the generative AI field • Document the implementation process, provide technical documentation, and contribute to knowledge sharing within the team • Lead strategic initiatives within Mission Cloud to keep DAML at the forefront of AI and AWS technologies • Contribute marketing materials for Mission Cloud in the Generative AI space
• Proven experience in implementing and deploying generative AI models in practical applications • Strong programming skills in languages like Python, TensorFlow, PyTorch, or similar AI frameworks • Solid understanding of deep learning architectures and generative models such as GANs, VAEs, etc • Familiarity with natural language processing (NLP) and computer vision (CV) applications in generative AI • Experience in data pre-processing, feature engineering, and data augmentation for training generative models • Proficiency in data manipulation, statistical analysis, and model evaluation techniques • Strong problem-solving and analytical skills, with the ability to think creatively and adapt to new challenges • Excellent communication skills to collaborate with interdisciplinary teams and present complex technical concepts to non-technical stakeholders • Passion for continuous learning and a keen interest in exploring the potential of generative AI in various industries • AWS Solution Architect - Professional Certification (required within 6 months of hire) • AWS Specialty Certification - Machine Learning (required within 1 year of hire)
• Access to health, vision and dental insurance with options 100% covered by Mission Cloud for employee and their dependents • Flexible Spending Accounts (Healthcare & Dependent Care) • Generous Paid Time Off (FlexPTO, parental leave, volunteering time off) • Reproductive health benefits • Pet insurance • 401k matching program • Life insurance paid by Mission Cloud • Monthly flex stipend • Monthly cell phone stipend • Home office expense benefit • An internal department dedicated to helping team members on their career path • Inclusive work environment with several Employee Resource Groups
Apply NowJuly 18
201 - 500
Develop customer-facing and internal AI solutions for MCG's healthcare content using large language models.
🇺🇸 United States – Remote
đź’µ $127.5k - $178.5k / year
⏰ Full Time
🟡 Mid-level
đźź Senior
🗣️ LLM Engineer
đź—˝ H1B Visa Sponsor
March 6, 2023
2 - 10
🇺🇸 United States – Remote
đź’µ $120k - $200k / year
⏰ Full Time
🟡 Mid-level
đźź Senior
🗣️ LLM Engineer