5 Jupyter Jobs

YOUR IMPACT Are you passionate about developing mission-critical, high quality software solutions, using cutting-edge technology,in a dynamic environment OUR IMPACT We are Compliance Engineering,a global team of more than 300 engineers and scientists whowork on the most complex, mission-critical problems. We: build and operate? a suite of platforms and applications that prevent, detect, and mitigate regulatory and reputational risk across the firm. have access to the latest technology andto massive amounts of structured and unstructured data. leverage modern frameworks to build responsive and intuitive UX/UI and Big Data applications. Compliance Engi??neering is looking to fillseveralbig data software engineering roles Your first deliverable and success criteria will be the deployment, in 2025, of newcomplex data pipelines and surveillance modelstodetect inappropriatetrading activity. ?HOW YOU WILL FULFILL YOUR POTENTIAL As a member of our team, you will: partner globally with sponsors,usersand engineering colleagues across multiple divisions to create end-to-end solutions, learn from experts, leverage varioustechnologies including; Java,Spark,Hadoop, Flink, MapReduce, HBase, JSON, Protobuf, Presto, Elastic Search, Kafka, Kubernetes be able to innovate and incubate new ideas, havean opportunity to work on a broad range of problems, includingnegotiatingdata contracts, capturing data quality metrics, processing large scaledata, buildingsurveillance detection models, be involved inthe full life cycle; defining,designing, implementing, testing, deploying, and maintaining software systems acrossour products. QUALIFICATIONS A successful candidate will possessthe followingattributes: A Bachelor's or Master's degreein Computer Science, Computer Engineering, or a similar field of study. Expertise in java, as well as proficiency with databasesand data manipulation. Experience in end-to-end solutions, automated testingand SDLC concepts. The ability (and tenacity) to clearly express ideas and arguments in meetings and on paper.? Experience inthe some offollowing is desired and can set you apart from other candidates: developing in large-scale systems, such as MapReduceon Hadoop/Hbase, data analysis using tools such as SQL, Spark SQL,Zeppelin/Jupyter, API design, such as to create interconnected services, knowledge of the financial industry and compliance or risk functions, abilityto influence stakeholders.

AI/ML Models: Experience with Automated Valuation Models (AVM) and real-world deployment of machine learning models LangChain: Proficient in using LangChain for building LLM-powered applications Data Science Toolkit: Hands-on with Pandas, NumPy, Scikit-learn, XGBoost, LightGBM, and Jupyter Feature Engineering: Strong background in feature engineering and data intelligence extraction Data Handling: Comfortable with structured, semi-structured, and unstructured data Production Integration: Experience integrating models into APIs and production environments using Python-based frameworks Location-Remote, Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad

Job Title: ML Prompt Engineer Location - Bangalore Hybrid . Job Description: Principle Developer - ML/Prompt Engineer Technologies: Amazon Bedrock, RAG Models, Java, Python, C or C++, AWS Lambda Responsibilities: Responsible for developing, deploying, and maintaining a Retrieval Augmented Generation (RAG) model in Amazon Bedrock, our cloud-based platform for building and scaling generative AI applications. Design and implement a RAG model that can generate natural language responses, commands, and actions based on user queries and context, using the Anthropic Claude model as the backbone. Integrate the RAG model with Amazon Bedrock, our platform that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. Optimize the RAG model for performance, scalability, and reliability, using best practices and robust engineering methodologies. Design, test, and optimize prompts to improve performance, accuracy, and alignment of large language models across diverse use cases. Develop and maintain reusable prompt templates, chains, and libraries to support scalable and consistent GenAI applications. Skills/Qualifications: Experience in programming with at least one software language, such as Java, Python, or C/C++. Experience in working with generative AI tools, models, and frameworks, such as Anthropic, OpenAI, Hugging Face, TensorFlow, PyTorch, or Jupyter. Experience in working with RAG models or similar architectures, such as RAG, Ragna, or Pinecone. Experience in working with Amazon Bedrock or similar platforms, such as AWS Lambda, Amazon SageMaker, or Amazon Comprehend. Ability to design, iterate, and optimize prompts for various LLM use cases (e.g., summarization, classification, translation, Q&A, and agent workflows). Deep understanding of prompt engineering techniques (zero-shot, few-shot, chain-of-thought, etc.) and their effect on model behavior. Familiarity with prompt evaluation strategies, including manual review, automatic metrics, and A/B testing frameworks. Experience building prompt libraries, reusable templates, and structured prompt workflows for scalable GenAI applications. Ability to debug and refine prompts to improve accuracy, safety, and alignment with business objectives. Awareness of prompt injection risks and experience implementing mitigation strategies. Familiarity with prompt tuning, parameter-efficient fine-tuning (PEFT), and prompt chaining methods. Familiarity with continuous deployment and DevOps tools preferred. Experience with Git preferred Experience working in agile/scrum environments Successful track record interfacing and communicating effectively across cross-functional teams. Good communication, analytical and presentation skills, problem-solving skills and learning attitude

What Youll Do We are seeking a dynamic Account Executive - Artificial Intelligence (AI) to join our strong and strategic sales team. As an AI Account Executive, you will drive the adoption of our AI solutions across various industries. You will identify potential clients across Australia and New Zealand, understand their specific needs, and provide tailored AI solutions that align to their business operations. This role requires an understanding of AI technologies, tools, frameworks, and a strong ability to define AI use-cases as part of a transformation journey for our customers. Who Youll Work With The Cloud and AI Infrastructure team is responsible for helping the extensive Cisco customer base transform their business using AI technology built on Cisco data centre and cloud infrastructure. The team works with customers, partners and engineering teams to take customer problems and turn them into business advantage through real world use cases. Who You Are You will create and execute a business development strategy to uncover opportunity for Ciscos Cloud and AI infrastructure products and services. You will identify and prioritise target accounts and develop relationships with key decision-makers and strategic business partners and technology alliances. You will engage deeply with clients to understand their business challenges and conduct detailed analysis to find opportunities to insert meaningful AI solutions that will be a key enabler for their AI and business transformation journey. Finally, you will be seen as the subject-matter expert for these solutions and will have to be able to run a full sales cycle and align with your connected teams on key deals to meet and exceed assigned sales targets. Minimum Skills and Qualifications 8+ years of technology-related sales experience with a focus on business development and new technology incubation. Foundational knowledge around Cloud and Data Centre infrastructure including areas such as networking, storage, and compute/AI accelerators Excellent presentation skills - ability to value-sell and deliver engaging workshops/seminars to IT and business audiences on AI and/or infrastructure topics Proven track record in managing and winning major strategic opportunities in public sector and/or large enterprise accounts Experience in multi-level selling, comfortable influencing CxO, IT Managers, Purchasing, etc Demonstrated leadership skills working in a sophisticated matrix organization Preferred Skills and Qualifications Bachelors degree or equivalent experience in Business, Computer Science, Engineering, or a related field; Advanced degree in business or AI/data science is a plus. Understanding of AI models, tools, frameworks including but not limited to GPT, Llama, TensorFlow, PyTorch, Jupyter, NVAIE, etc. Familiarity with containerisation (Kubernetes etc) and methodology around training and fine-tuning AI models Experience building business cases and advisory workshops around AI technology, data preparation, and large scale accelerated computing and data centre networking. Track record of growing revenue for new innovative technology-based solutions.

Principle Developer - ML/Prompt Engineer Technologies: Amazon Bedrock, RAG Models, Java, Python, C or C++, AWS Lambda, Responsibilities: Responsible for developing, deploying, and maintaining a Retrieval Augmented Generation (RAG) model in Amazon Bedrock, our cloud-based platform for building and scaling generative AI applications. Design and implement a RAG model that can generate natural language responses, commands, and actions based on user queries and context, using the Anthropic Claude model as the backbone. Integrate the RAG model with Amazon Bedrock, our platform that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. Optimize the RAG model for performance, scalability, and reliability, using best practices and robust engineering methodologies. Design, test, and optimize prompts to improve performance, accuracy, and alignment of large language models across diverse use cases. Develop and maintain reusable prompt templates, chains, and libraries to support scalable and consistent GenAI applications. Skills/Qualifications: Experience in programming with at least one software language, such as Java, Python, or C/C++. Experience in working with generative AI tools, models, and frameworks, such as Anthropic, OpenAI, Hugging Face, TensorFlow, PyTorch, or Jupyter. Experience in working with RAG models or similar architectures, such as RAG, Ragna, or Pinecone. Experience in working with Amazon Bedrock or similar platforms, such as AWS Lambda, Amazon SageMaker, or Amazon Comprehend. Ability to design, iterate, and optimize prompts for various LLM use cases (e.g., summarization, classification, translation, Q&A, and agent workflows). Deep understanding of prompt engineering techniques (zero-shot, few-shot, chain-of-thought, etc.) and their effect on model behavior. Familiarity with prompt evaluation strategies, including manual review, automatic metrics, and A/B testing frameworks. Experience building prompt libraries, reusable templates, and structured prompt workflows for scalable GenAI applications. Ability to debug and refine prompts to improve accuracy, safety, and alignment with business objectives. Awareness of prompt injection risks and experience implementing mitigation strategies. Familiarity with prompt tuning, parameter-efficient fine-tuning (PEFT), and prompt chaining methods. Familiarity with continuous deployment and DevOps tools preferred. Experience with Git preferred Experience working in agile/scrum environments Successful track record interfacing and communicating effectively across cross-functional teams. Good communication, analytical and presentation skills, problem-solving skills and learning attitude Mandatory Key Skills Amazon Bedrock,RAG Models,Java,Python,C++,AWS Lambda,RAG model,Anthropic, OpenAI,Hugging Face,TensorFlow,PyTorch,Jupyter,Amazon SageMaker, DevOps tools, Prompt Engineering*