                                                                                      POSTION TITLE:   Senior AI/ML  Data Engineer                                                                                       Requisition Template:   Senior AI/ML Data Engineer –   Digital Transformation       POSITION SUMMARY :      Do you dream in algorithms and speak fluent machine learning? Are you passionate about using cutting - edge AI to solve   real - world  problems? If so, then we want you on our team!       We are seeking a highly motivated and technically skilled AI expert to join our growing team. In this role, you will play a   pivotal role in designing, developing, and implementing innovative AI  solutions leveraging Intelligent Document Processing   (IDP), Retrieval - Augmented Generation (RAG), and Generative AI (GenAI) technologies. You will also be expected to apply   your expertise in Neural Networks and Machine Learning to optimize these solutions  and achieve superior performance.    The  key  problem  we  are  trying  to  solve  is  the  Document  Indexing,  data  extraction  from  documents  &amp;  extracted  data   validation for nearly 500+ document types in the US Mortgage origination &amp; servicing domain.         As  a  Senior  Data  Engineer ,  you  will  be  responsible  for  building  automation  and  leading - edge  production  code   implementation  around  model  development,  deployment,  and  serving  to  optimize  time  to  market  and  quality  of  Data   Engineering/Processing  applications.  Specifically,  c andidate     will  work with  Sr.  Automation  engineers/Lead  engineers  to   ensure  our  AI/ML/Data  systems  are  production - grade,  scalable  and  use  the  latest  state  of  the  art  technology  and   methodology.  C andidate     will  help  define  and  ensure  best  codin g  practices  within  the  team  of  excellent  and  engaged   engineers.  C andidate     will  be  given  creative  freedom  and  opportunities  to  work  on  advanced  Data  problems,  such  as   reinforcement  learning  and  self - serve  Data  platform.  c andidate     will  do  hands - on  code  development  and  interact  with   business  stakeholders.  The  hire  will  execute  projects  on  digital  transformations,  process  redesign  and  maximize   operational efficiency as well as $$$ saves opportunities for the enterprise.       JOB   FUNCTIONS AND RESPONSIBILITIES    •   Build Automation pipelines using CNN/RNN models as well as RAG techniques &amp; LLM (or even Small Language Models)   for Document Indexing, Data extraction from documents.     •   Critical to Success is the speed to market in deploying these Automations in Intelligent Document Processing.    •   Critical to Success is the low operational cost to run these deployments which means minimizing costs yet optimally   using RAG + LLM (and/or fine tuning) for solutions.    •   Craft and optimize text prompts for various generative AI tasks (text generation, translation, code completion, etc.).   Collaborate with data scientists to understand GenAI model capabilities and tailor prompts for optimal performance   on specific datasets.    •   Continuously  iterate  on  prompts  through  A/B  testing  and  human  evaluation,  using  metrics  (fluency,  coherence,   creativity)  to  achieve  desired  model  outputs.  Partner  with  data  scientists  to  analyze  results,  identify  GenAI   biases/errors, and adjust prompts acc ordingly.    •   Research  and  explore  new  prompting  techniques  (few - shot  learning,  zero - shot  learning)  to  enhance  how  prompts   guide GenAI model behavior and creative text generation.    •   Focus on prompt design but stay informed on advancements in NLP and GenAI models to understand their capabilities   and limitations for prompt effectiveness.    •   Develop  and  implement  data  pipelines  for  efficient  prompt  evaluation.  Analyze  GenAI  outputs  generated  from   prompts to identify potential issues and refine prompts for optimal results.    •   Become an expert in prompt engineering best practices for GenAI applications. Share knowledge and best practices   within the team. (Optional) Contribute to developing internal prompt management and evaluation tools.    •   Effectively communicate the impact of prompts on GenAI outputs to both technical and non - technical audiences.    •   Develop  frameworks  and  tools  (optional)  to  empower  data  scientists  and  analysts  working  with  GenAI  models,   potentially including solutions for prompt creation, version control, and data analysis.    •   Possess strong problem - solving skills, considering multiple prompting approaches and weighing them to achieve the   best creative outputs from GenAI models.                                                                                         POSTION TITLE:   Senior AI/ML  Data Engineer                                                                                       EDUCATION  /  EXPERIENCE    •   Bachelor/Master/Engineering degree in IT/Computer Science/software engineering or relevant field.    •   Strong proven programming expertise in Python, SQL and Pandas.    •   Proven experience in designing and developing AI architectures.    •   In - depth knowledge of IDP, RAG, and GenAI technologies.    •   Solid understanding of Neural Networks and Machine Learning algorithms (e.g., NLP, transformers).    •   Experience with programming languages commonly used in AI development (e.g., Python, TensorFlow, PyTorch)    •   Expertise in at least one popular Python framework (like Django, Flask or Pyramid) is a big plus.    •   Expertise on API framework and Microservices is a big plus.    •   Hands on Experience and deep understanding on AWS tools and technologies like EC2, EMR, ECS, Docker, Lambda,   Sagemaker.    •   Hands on experience on AWS GenAI FMs, Bedrock, Titan a great plus.    •   Experience with relational SQL and  NoSQL databases.    •   Application of Machine learning / Deep learning concepts in cognitive areas  -    NLP, Computer vision, image analytics   is a huge plus.    •   Hands - on  knowledge  working  with  structured/unstructured  data  image  (OCR)/voice  and  well  versed  in  descriptive   and prescriptive analytics       WORK SCHEDULE   OR TRAVEL   REQUIREMENTS      2 -   11 PM IST, Mon  –   Fri. No travel.            