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    Advanced Data Engineer - hyderabad, India - Honeywell

    Honeywell
    Honeywell hyderabad, India

    6 days ago

    Honeywell background
    Description

    Responsibilities

    :

    ·Develop and Deploy advanced Generative AI large language models, Machine Learning and Deep Learning Models/algorithms to enhance and/or automate existing business processes with predictive and intelligent decision making, content aggregation and contextualized insights.

    ·Collaborate with data scientists and AI engineers to build production-level models and pipelines, including any required preprocessing of input datasets and postprocessing after model inference.

    ·Processing, cleansing and verifying the integrity of structured and unstructured business data used for analysis and building Gen AI applications.

    ·Developing batch processing and real-time data processing solutions. Writing ETL (Extract, Transform, Load) processes, designing database systems, and implementing data pipelines for Gen AI & Class AI systems.

    ·Analyze large amount of information to discover underlying trends and patterns that are relevant for solving business problems. Select features and perform proper data transformation to optimize datasets for building the models.

    ·Work in a startup-type environment to design and build innovative applications using Automation, Machine Learning/Cognitive Service, business / functional proofs-of-concepts to scalable, production ready solutions across a strategic business group

    ·Optimizing data retrieval and developing dashboards for monitoring the quality of Data & AI systems. Tuning the performance of the data management systems to ensure high performance.

    ·Work within project planning constraints, communicating any identified project risks and issues to the delivery/project manager and provide inputs to the change control process.

    ·Help develop standard operation practices and support the Operations Teams through UAT and after go-live.

    ·Continuously optimize the existing AI/ML operations and help build effective model performance monitoring, alert, and improvement framework to proactively identify problems/issues before business impact.

    Partner and effectively communicate with Non-IT / Business users, functional counterparts and stakeholders to understand the underlying business problem, and work with the extended team to define and communicate the right technical solution.

    YOU MUST HAVE

  • Bachelors in Computer Science, Data Analytics, or Engineering fields
  • 4-6 years of experience in data engineering, IT, or software development for large corporate/organizations
  • 3+ years of experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
  • Experience with SQL, Python programming and other programming language, such as Java, Scala, NodeJS.
  • Hands-on experience in building robust, scalable data pipelines for LLM training, and vector database for RAG systems, etc

    • ·Experience with Databricks, Snowflake, Informatica

  • Experience in building IT use cases / solutions especially around AI/ML cognitive services, based on Cloud infrastructure and services such as Azure cloud platforms and Databricks.

    • WE VALUE

  • Master's Degree in Computer Science, Data Analytics or Engineering fields

    • ·Understanding of application development framework like LangChain, LlamaIndex, and knowledge of vector index, vector databases

    ·Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

    ·Experience operating large data warehouse

  • Project experience with NLP/NLG, AI Conversational Agent (Chatbot), OCR
  • Experience with DevSecOps framework, develop CICD pipelines, orchestrate workflow using Airflow, Opsera
  • Experience with Docker and Kubernetes
  • Working Experience in an Agile/Scrum/Scaled Agile and DevOps based team environment
  • Certifications/ Course work in Generative AI, AI/ML and Cloud platforms
  • Great communication skills
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