5 Aiml Workflows Jobs

As a Software Engineer on the OCI Data Science team at Oracle, you will be responsible for designing, developing, troubleshooting, and debugging software programs for databases, applications, tools, networks, and more. Our team is dedicated to empowering developers and data scientists to create, deploy, and scale cutting-edge AI/ML solutions, with a particular emphasis on large language models (LLMs). We are currently focused on building a next-generation AI/ML platform that facilitates rapid experimentation and scalable deployment of models on OCI. Join us in shaping the future of AI infrastructure. Preferred Qualifications: - 5-7 years of experience as a full stack software engineer - Proficiency in React.js, Java, and Python - Experience with containerization technologies like Docker and orchestration tools like Kubernetes - Understanding of microservices architecture and cloud-native development - Familiarity with AI/ML workflows or experience working with ML infrastructure is a plus - Experience in building scalable systems and APIs for data-driven applications - Strong problem-solving skills and a collaborative mindset Responsibilities: - Design, develop, and maintain full-stack features for our AI/ML platform - Build intuitive and responsive UI components using React.js - Develop scalable backend services and APIs using Java and Python - Containerize applications and ensure smooth deployment using Docker/Kubernetes - Collaborate with ML engineers, product managers, and UX designers to deliver high-quality solutions - Contribute to system design discussions, code reviews, and technical planning - Write clean, maintainable, and testable code with a focus on performance and scalability Nice to Have: - Experience with OCI or other cloud platforms (AWS, Azure, GCP) - Exposure to LLMs or generative AI tools and platforms - Knowledge of DevOps practices and CI/CD pipelines About Us: Oracle is a world leader in cloud solutions, utilizing cutting-edge technology to address current challenges. With over 40 years of experience, we have established partnerships with industry leaders across various sectors and continue to evolve by operating with integrity. We believe that true innovation flourishes when everyone is empowered to contribute. Our commitment to fostering an inclusive workforce that provides opportunities for all is unwavering. At Oracle, we offer global opportunities that prioritize work-life balance. Our competitive benefits are founded on equality and consistency, supporting our employees with flexible medical, life insurance, and retirement options. We also encourage our workforce to engage in volunteer programs to give back to their communities. We are dedicated to incorporating individuals with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation due to a disability, please reach out to us by emailing accommodation-request_mb@oracle.com or calling +1 888 404 2494 in the United States.,

As a Product Owner at PitchBook, you will collaborate with key stakeholders and teams to deliver the department's product roadmap. Your role will involve aligning engineering activities with product objectives for new product capabilities, data, and scaling improvements, focusing on AI/ML data extraction, collection, and enrichment capabilities. Working within the Data Technology team, you will develop solutions to support and accelerate data operations processes, impacting core workflows of data capture, ingestion, and hygiene across private and public capital markets datasets. You will work on AI/ML Collections Data Extraction & Enrichment teams, closely integrated with Engineering and Product Management to ensure alignment with the Product Roadmap. Your responsibilities will include being a domain expert for your product area(s), defining backlog priorities, managing feature delivery according to the Product Roadmap, validating requirements, creating user stories and acceptance criteria, communicating with stakeholders, defining metrics for team performance, managing risks or blockers, and supporting AI/ML collections work. To be successful in this role, you should have a Bachelor's degree in Information Systems, Engineering, Data Science, Business Administration, or a related field, along with 3+ years of experience as a Product Manager or Product Owner within AI/ML or enterprise SaaS domains. You should have a proven track record of shipping high-impact data pipeline or data collection-related tools and services, familiarity with AI/ML workflows, experience collaborating with globally distributed teams, excellent communication skills, a bias for action, and attention to detail. Preferred qualifications include direct experience with applied AI/ML Engineering services, a background in fintech, experience with data quality measurements and ML model evaluation, exposure to cloud-based ML infrastructure and data pipeline orchestration tools, and certifications related to Agile Product Ownership / Product Management. This position offers a standard office setting with the use of a PC and phone throughout the day, collaboration with stakeholders in Seattle and New York, and limited corporate travel may be required. Morningstar's hybrid work environment allows for remote work and in-person collaboration, with benefits to enhance flexibility. Join us at PitchBook to engage meaningfully with global colleagues and contribute to our values and vision.,

You are a highly skilled and strategic Data Architect with deep expertise in the Azure Data ecosystem. Your role will involve defining and driving the overall Azure-based data architecture strategy aligned with enterprise goals. You will architect and implement scalable data pipelines, data lakes, and data warehouses using Azure Data Lake, ADF, and Azure SQL/Synapse. Providing technical leadership on Azure Databricks for large-scale data processing and advanced analytics use cases is a crucial aspect of your responsibilities. Integrating AI/ML models into data pipelines and supporting the end-to-end ML lifecycle including training, deployment, and monitoring will be part of your day-to-day tasks. Collaboration with cross-functional teams such as data scientists, DevOps engineers, and business analysts is essential. You will evaluate and recommend tools, platforms, and design patterns for data and ML infrastructure while mentoring data engineers and junior architects on best practices and architectural standards. Your role will require a strong background in data modeling, ETL/ELT frameworks, and data warehousing concepts. Proficiency in SQL, Python, PySpark, and a solid understanding of AI/ML workflows and tools are necessary. Exposure to Azure DevOps and excellent communication and stakeholder management skills are also key requirements. As a Data Architect at Lexmark, you will play a vital role in designing and overseeing robust, scalable, and secure data architectures to support advanced analytics and machine learning workloads. If you are an innovator looking to make your mark with a global technology leader, apply now to join our team in Kolkata, India.,

We are seeking a Python AI/ML Developer who is enthusiastic about Large Language Models (LLMs), rapid prototyping, and scalable backend development. If you are passionate about creating AI-native applications using frameworks like FastAPI, Django, Gradio, and Streamlit, and have some experience in digital or affiliate marketing, we are interested in hearing from you. Your responsibilities will include building and deploying AI-powered applications using Python and LLM APIs such as OpenAI, LLaMA, Mistral, etc. You will be developing RESTful and asynchronous APIs utilizing FastAPI and Django, integrating and managing databases like PostgreSQL and MongoDB, and designing intuitive frontend UIs with Gradio and Streamlit. Additionally, you will be tasked with designing and optimizing prompts for various LLM use cases like text generation, classification, and semantic search. Collaboration with product, design, and marketing teams to transform concepts into production-ready tools is also a key aspect of this role. To excel in this position, you should possess a solid foundation in Python and a fundamental understanding of AI/ML workflows. Exposure to at least one LLM API such as OpenAI, Cohere, or Hugging Face models is essential. Proficiency in FastAPI, Django, PostgreSQL, and MongoDB is required, along with experience or project work involving Gradio and/or Streamlit. Demonstrated skills in crafting effective prompts and creating LLM chains or workflows are highly valued, as well as a strong problem-solving mindset and a keenness for continuous learning. Proficiency in Git and version control is also expected. Candidates with knowledge in digital marketing, affiliate marketing, or performance marketing will be given extra consideration. Familiarity with LangChain, LLMOps, or RAG-based pipelines is a plus. This is a full-time position that requires in-person work at the specified location.,

As a Cisco Datacenter Engineer with expertise in HPC, AI/ML, and DevOps, you will play a crucial role in designing and optimizing high-performance computing environments, particularly tailored for AI/ML workloads. Your responsibilities will encompass managing HPC infrastructure, overseeing Cisco datacenter operations, configuring routing and switching systems, ensuring network security, optimizing Infiniband networking, and deploying Nvidia AI Enterprise software within enterprise environments. You will collaborate with DevOps teams to integrate automation and containerization technologies into HPC setups, monitor system performance, maintain documentation, and provide advanced technical support. With over 15 years of experience in HPC infrastructure design and management, you will leverage your extensive knowledge of Nvidia DGX systems, Infiniband networking, and Nvidia AI Enterprise software. Your technical proficiency in AI/ML workflows, GPU-accelerated computing, containerization technologies, and Cisco networking will be instrumental in ensuring the efficiency and security of HPC environments. Additionally, your scripting and automation skills using tools like Python and Ansible will aid in optimizing operations. Preferred qualifications for this role include certification in Nvidia AI Enterprise or similar HPC-related certifications, experience in hybrid or multi-cloud environments, and a background in R&D or enterprise AI settings where cutting-edge AI/ML solutions were developed and deployed. By working closely with AI/ML experts, network architects, and security engineers, you will deliver integrated solutions that align with both business and technical requirements, ensuring minimal downtime and optimal performance of HPC and network systems.,