5 Automation Pipelines Jobs

You are a Machine Learning & Generative AI Engineer responsible for designing, building, and deploying advanced ML and GenAI solutions. This role presents an exciting opportunity to work on cutting-edge AI systems, such as LLM fine-tuning, Transformer architectures, and RAG pipelines, while also contributing to traditional ML model development for decision-making and automation. With a minimum of 3 years of experience in Machine Learning, Deep Learning, and AI model development, you are expected to demonstrate a strong proficiency in Python, PyTorch, TensorFlow, Scikit-Learn, and MLflow. Your expertise should encompass Transformer architectures (such as BERT, GPT, T5, LLaMA, Falcon) and attention mechanisms. Additionally, experience with Generative AI, including LLM fine-tuning, instruction tuning, and prompt optimization is crucial. You should be familiar with RAG (Retrieval-Augmented Generation) embeddings, vector databases (FAISS, Pinecone, Weaviate, Chroma), and retrieval workflows. A solid foundation in statistics, probability, and optimization techniques is essential for this role. You should have experience working with cloud ML platforms like Azure ML / Azure OpenAI, AWS SageMaker / Bedrock, or GCP Vertex AI. Familiarity with Big Data & Data Engineering tools like Spark, Hadoop, Databricks, and SQL/NoSQL databases is required. Proficiency in CI/CD, MLOps, and automation pipelines (such as Airflow, Kubeflow, MLflow) is expected, along with hands-on experience with Docker and Kubernetes for scalable ML/LLM deployment. It would be advantageous if you have experience in NLP & Computer Vision areas, including Transformers, BERT/GPT models, YOLO, and OpenCV. Exposure to vector search & embeddings for enterprise-scale GenAI solutions, multimodal AI, Edge AI / federated learning, RLHF (Reinforcement Learning with Human Feedback) for LLMs, real-time ML applications, and low-latency model serving is considered a plus. Your responsibilities will include designing, building, and deploying end-to-end ML pipelines covering data preprocessing, feature engineering, model training, and deployment. You will develop and optimize LLM-based solutions for enterprise use cases, leveraging Transformer architectures. Implementing RAG pipelines using embeddings and vector databases to integrate domain-specific knowledge into LLMs will also be part of your role. Fine-tuning LLMs on custom datasets for domain-specific tasks and ensuring scalable deployment of ML & LLM models on cloud environments are critical responsibilities. Collaborating with cross-functional teams comprising data scientists, domain experts, and software engineers to deliver AI-driven business impact is expected from you.,

As a member of Oracle Cloud LIFT, you will play a crucial role in guiding customers from concept to successful cloud deployment. Your responsibilities will involve shaping architecture and solution design with best practices and experience, owning the delivery of agreed workload implementations, validating and testing deployed solutions, and conducting security assurance reviews. You will have the opportunity to work in a fast-paced, international environment, engaging with customers across various industries and regions. Collaboration with peers, sales, architects, and consulting teams will be essential in making cloud transformation a reality. In this role, your main focus will be on hands-on experience creating landing zones for cloud platforms like OCI, Azure, GCP, or AWS. You should possess expertise in cloud compute and storage technologies, cloud networking, firewalls, and hardening cloud security postures. Additionally, experience with Windows, Linux, and other operating systems on the cloud, as well as expertise in production VM migration and Disaster recovery, are key skills required. You will also need to have hands-on experience using Infrastructure as Code tools like Terraform, Ansible, and automation pipelines such as GitHub Actions, GitLab CI, or Jenkins. Effective communication and presentation skills are crucial, along with the ability to analyze problems, identify solutions, and make decisions. A willingness to learn, adapt, and grow professionally is highly valued. While not mandatory, it would be advantageous to have experience with containerization technologies like Docker, containers, OpenShift, and Kubernetes, as well as a good architectural understanding of technical aspects of a cloud solution including networking, security, resilience, and connectivity. Experience in Multi-cloud solutions and Virtualization (VMware, Hyper-V, KVM) would also be beneficial. Engaging with Technical Sales Teams, prospects, and customers to ensure business needs can be addressed with OCIs capabilities is part of the role. Keeping up to date with new OCI-based solutions or capabilities, understanding functionality and interoperability of solutions across the OCI portfolio, and possessing OCI Certification Foundation / Architect / Professional are considered added advantages. As you embark on this career journey at Oracle, operating at the IC3 level, you will have the opportunity to contribute to the cutting-edge cloud solutions that Oracle offers. With a rich history of innovation and commitment to an inclusive workforce, Oracle provides global opportunities that prioritize work-life balance, competitive benefits, flexible medical, life insurance, and retirement options, and support for community engagement through volunteer programs. Oracle is dedicated to inclusivity, ensuring that people with disabilities are included at all stages of the employment process. If you require accessibility assistance or accommodation for a disability, please reach out to us at accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.,

You will be working in the AWS platform managing SAP workloads and developing automation scripts using AWS services. It is essential to support a 24*7 environment and have the willingness to learn new technologies. As a part of this role, your major accountabilities will include solving incidents and implementing changes in the AWS Cloud environment. You will be responsible for owning and driving incidents to resolution, with a strong focus on performance troubleshooting and capacity management. Additionally, you will champion the standardization and simplification of AWS Operations involving various services such as S3, EC2, EBS, Lamda, Network, NACL, Security Groups, and others. You will also prepare and execute internal AWS projects, identifying critical integration points, proposing solutions for key gaps, and providing effort estimations while ensuring alignment with business and other teams. Consistency and traceability between user requirements, functional specifications, and Agile ways of working are crucial aspects of this role. It is important to deliver assigned project work within the agreed timeline, budget, and quality standards, while adhering to the release calendars. Being able to work in a dynamic environment and support users globally is key, along with being a team player and being available for weekend on-call duties as needed. Minimum Requirements for this role include a Bachelor's degree in business/technical domains, AWS Cloud certifications/trainings, and over 5 years of relevant professional IT experience in the related technical area. Proven experience in handling AWS Cloud workloads, preparing Terraform scripts, running pipelines, and excellent troubleshooting skills are necessary. Additionally, knowledge of handling SAP workloads, extensive monitoring experience, and experience in a 24*7 environment are advantageous. Experience with installing and setting up SAP environment in AWS Cloud, EC2 Instance setup, EBS and EFS Setup, S3 configuration, as well as Alert Configuration in Cloud Watch are required. Good knowledge of NACL and Security Groups, usage of Cloud Formation and automation pipelines, and Identity and Access Management are important for this role. An understanding of ITIL v4 principles and the ability to work in complex 24*7 environments are also essential. Novartis is committed to creating an outstanding, inclusive work environment with diverse teams. If you want to be a part of a mission to reimagine medicine and improve lives, consider joining Novartis. For more information about Novartis and career opportunities, visit: https://www.novartis.com/about/strategy/people-and-culture If you are interested in staying connected with Novartis and learning about future career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network To explore the benefits and rewards offered by Novartis, read our handbook here: https://www.novartis.com/careers/benefits-rewards,

As the MLOps Engineering Director at Horizontal Data Science Enablement Team within SSO Data Science, you will play a crucial role in solving MLOps challenges, overseeing the Databricks platform, building CI/CD pipelines, and leading best practices. Your responsibilities will include the administration, configuration, and maintenance of Databricks clusters and workspaces. It will be essential to continuously monitor clusters for high workloads or excessive costs and alert relevant stakeholders promptly to maintain overall cluster health. Implementing and managing security protocols, including access controls and data encryption, to adhere to Mastercard standards will be a key aspect of your role. You will be responsible for integrating various data sources into Databricks to ensure seamless data flow and consistency. Resolving issues related to Databricks infrastructure, providing support to users and stakeholders, maintaining documentation of configurations, processes, and best practices, and leading security and architecture reviews will also be part of your responsibilities. Bringing MLOps expertise to the table will involve activities such as model monitoring, feature catalog/store, model lineage maintenance, and CI/CD pipeline management. You will also own and maintain MLOps solutions, build LLMOps pipelines, and manage a small team of MLOps engineers. To excel in this role, a Master's degree in computer science or a related field, strong experience with Databricks, cloud technologies, MLOps solutions like MLFlow, and hands-on experience in CI/CD tools are required. Additionally, you should have experience in data analysis, data observability, data ingestion, data integration, and system engineering. Strong coding skills in Python or other languages like Java and C++, along with a systematic problem-solving approach and effective communication skills, will be essential. Experience with SQL tuning, automation, data observability, and supporting highly scalable systems can set you apart. Operating in a 24x7 environment and being self-motivated to creatively solve software problems will be valuable assets in this role. As part of your corporate security responsibility, you are expected to abide by Mastercard's security policies, ensure information confidentiality and integrity, report any security violations, and complete mandatory security training.,

As the MLOps Engineering Director at Horizontal Data Science Enablement Team within SSO Data Science, you will play a crucial role in managing the Databricks platform for the entire organization and leading best practices in MLOps. Your responsibilities will include overseeing the administration, configuration, and maintenance of Databricks clusters and workspaces. You will continuously monitor the clusters for high workloads or excessive usage costs, ensuring the overall health of the clusters and addressing any issues promptly. Implementing and managing security protocols to safeguard sensitive information and facilitating the integration of various data sources into Databricks will be key aspects of your role. Collaborating closely with data engineers, data scientists, and stakeholders, you will provide support for data processing and analytics needs. Maintaining comprehensive documentation of Databricks configurations, processes, and best practices, as well as leading participation in security and architecture reviews, will be part of your responsibilities. Additionally, you will bring MLOps expertise to the table by focusing on areas such as model monitoring, feature catalog/store, model lineage maintenance, and CI/CD pipelines. To excel in this role, you should possess a Master's degree in computer science or a related field, along with strong experience in Databricks management, cloud technologies, and MLOps solutions like MLFlow. Your background should include hands-on experience with industry-standard CI/CD tools, data governance processes, and coding proficiency in languages such as Python, Java, and C++. A systematic problem-solving approach, excellent communication skills, and a sense of ownership and drive are essential qualities for success in this position. Moreover, your ability to set yourself apart will be demonstrated through your experience in SQL tuning, automation, data observability, and supporting highly scalable systems. Operating in a 24x7 environment, self-motivation, creativity in solving software problems, and ensuring system availability across global time zones will further enhance your profile for this role. In alignment with Mastercard's corporate security responsibility, you will be expected to adhere to security policies and practices, maintain the confidentiality and integrity of accessed information, report any security violations, and complete mandatory security trainings. By taking on this role, you will contribute to ensuring the efficiency and security of Mastercard's data science operations.,