| JOB DESCRIPTION :: AI POSITIONS :: CONTRACT :: URGENT ROLES at Concord, California, USA |
| Email: [email protected] |
| Hello, Hope you are doing well. Below are all positions please check the Job Description and let me know for which you are more comfortable and share your updated resume.. Position 1: Role : AI-ML Engineer Gen AI Data Location : Concord CA (Primary) Charlotte NC (secondary) (Day 1 /onsite) Hire type : Contract No . of position : 2 Key Responsibilities: Participate in developing Generative AI & Traditional AI Platform Capabilities on enterprise on-prem and cloud platforms. Primary responsibilities include working on vector database, creating index, writing python code for data ingestion, working with content management systems to parse, chunk data Primary responsibilities also include Vector Database Build on GCP and Azure and building associated data pipeline for Vector Database, Document AI Responsible for AI model delivery to on-prem infrastructure and cloud platforms (GCP-Vertex AI, Azure ML) Building automation capabilities to deploy ML Models and LLM Models on the enterprise on-prem platform and cloud platform . Build and Deploy capabilities for automating model scoring/Inferencing of ML models and LLMs. Build and Deploy capabilities for data pipeline deployment standardization and model consumption by multiple LOBs. Collaborate with product owners, devOps team, data scientists, support teams to define and drive end to end model scoring pipelines. Participate in day-to-day standups for platform capability build. Provide SME guidance for data science teams on software engineering principles, model deployments, platform capabilities. Drive AI use case delivery end to end collaborating with Data scientists, Data Engineers, LOB Technology using standardized platform processes and capabilities. Support Production Issues partnering with production support. Key Requirements: 5+ years of Python experience 5+ years of big data experience needed (Big Query, Hadoop) 3 years of experience in AIML area (MLOps) 2+ years of experience in developing APIs using Python/FastAPI. Good to have 1+year of experience in LLM, Generative AI (developing capabilities or dev/ops) Good to have Experience in developing of API on GCP/Azure/API Gateways Good to have 1+year of experience in Vector Database, Model Development would be added benefit. Position 2: Role : AI-ML Platform Tech Lead Location : Charlotte NC (Day 1 Onsite) Hire type : Contract No . of position : 1 Key Responsibilities: Design and architect scalable AI platforms to develop, deploy AI solutions leveraging ML techniques and Deep Learning Techniques. Drive Joint Architecture Design to collaborating with business stakeholders, data scientists, engineering teams, product, and other key partners to gather functional, non-functional requirements for solving AI use case on the AI Platform Evaluate emerging technologies and tools in AI area and do fitment analysis to the Enterprise AI Platform and capabilities strategy. Define and implement AI/ML architecture best practices, frameworks, and standards. Lead AI/ML infrastructure setup, including cloud services selection, data pipelines, and model deployment. Ensure robustness, reliability, and scalability of AI/ML solutions in production environments. Design and implement data governance, security, and compliance measures for AI/ML platforms. Optimize AI/ML workflows for performance, cost efficiency, and resource utilization. Provide technical leadership and mentorship to AI/ML development teams. Communicate AI/ML architecture decisions and strategies to stakeholders and executives. Key Requirements: Proven experience as an AI/ML platform architect Deep understanding of ML algorithms, Deep Learning architecture, models, and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn). Expertise in cloud platforms (e.g., GCP, Azure) and their AI services. Strong knowledge of Model development life cycle, software engineering principles, data engineering principles Experience with containerization and orchestration tools onprem and cloud (e.g., AKS, GKE, OpenShift Container Platform, Docker, Kubernetes) for deploying AI/ML models. Ability to design and optimize distributed computing systems for AI/ML workloads. Familiarity with DevOps practices, CI/CD pipelines, and automation tools in AI-ML contexts. Excellent problem-solving skills and ability to address complex technical challenges. Effective communication skills to collaborate with cross-functional teams and stakeholders Position 3: Role : AI Engineer Location : Charlotte NC (Day 1 Onsite) Hire type : Contract No . of position : 6 Key Requirements: 5+ years of Python experience 5+ years of big data experience needed (Big Query, Hadoop) 3 years of experience in AIML area (MLOps) 2+ years of experience in developing APIs using Python/FastAPI. Good to have 1+year of experience in LLM, Generative AI (developing capabilities or dev/ops) Good to have Experience in developing of API on GCP/Azure/API Gateways Good to have 1+year of experience in Vector Database, Model Development would be added benefit. Key Responsibilities: Participate in developing Generative AI & Traditional AI Platform Capabilities on enterprise on-prem and cloud platforms. Responsible for AI model delivery to on-prem infrastructure and cloud platforms (GCP-Vertex AI, Azure ML) Collaborating with Data scientist to optimize the scoring pipeline. Building automation capabilities to deploy ML Models and LLM Models on the enterprise on-prem platform and cloud platform. Build and Deploy capabilities for automating model scoring/Inferencing of ML models and LLMs. Build and Deploy capabilities for data pipeline deployment standardization and model consumption by multiple LOBs. Collaborate with product owners, devOps team, data scientists, support teams to define and drive end to end model scoring pipelines. Participate in day-to-day standups for platform capability build. Provide SME guidance for data science teams on software engineering principles, model deployments, platform capabilities. Drive AI use case delivery end to end collaborating with Data scientists, Data Engineers, LOB Technology using standardized platform processes and capabilities. Support Production Issues partnering with production support. Deepak Prajapati | Lead Recruiter +1 860-909-6247 United States | Canada | India | Indonesia Keywords: continuous integration continuous deployment artificial intelligence machine learning California North Carolina JOB DESCRIPTION :: AI POSITIONS :: CONTRACT :: URGENT ROLES [email protected] |
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| Thu Aug 01 00:58:00 UTC 2024 |