Larsen & Toubro - Tampa, FL

posted 3 months ago

Full-time
Tampa, FL
Professional, Scientific, and Technical Services

About the position

The Python AI/ML Developer position at LTIMindtree involves developing production-level Generative AI solutions utilizing Azure OpenAI and Google services. The ideal candidate will have experience in prompt engineering, retrieval-augmented generation, and fine-tuning of open-source large language models (LLMs). This role requires collaboration with data scientists and data engineers to build production-level models and pipelines, which includes necessary preprocessing of input datasets and postprocessing after model inference. In this role, you will be responsible for developing and deploying advanced Generative AI large language models, as well as machine learning and deep learning models and algorithms. The goal is to enhance and automate existing business processes through predictive and intelligent decision-making, content aggregation, and contextualized insights. You will also be tasked with processing, cleansing, and verifying the integrity of both structured and unstructured business data used for analysis. The position requires analyzing large amounts of information to discover underlying trends and patterns relevant to solving business problems. You will select features and perform proper data transformation to optimize datasets for model building. Additionally, you will evaluate, visualize, and communicate the AI/ML model results and their correlation with business KPIs. Continuous optimization of existing AI/ML operations is essential, as is helping to build an effective model performance monitoring and improvement framework to proactively identify potential issues before they impact the business.

Responsibilities

  • Develop production-level Generative AI solutions using Azure OpenAI and Google services.
  • Collaborate with data scientists and data engineers to build production-level models and pipelines.
  • Preprocess input datasets and postprocess after model inference.
  • Develop and deploy advanced Generative AI large language models and machine learning algorithms.
  • Enhance and automate existing business processes with predictive and intelligent decision-making.
  • Process, cleanse, and verify the integrity of structured and unstructured business data.
  • Analyze large datasets to discover trends and patterns relevant to business problems.
  • Select features and perform data transformation to optimize datasets for model building.
  • Evaluate, visualize, and communicate AI/ML model results and their correlation with business KPIs.
  • Continuously optimize existing AI/ML operations and build a model performance monitoring framework.

Requirements

  • Experience in developing production-level Generative AI solutions.
  • Familiarity with prompt engineering and retrieval-augmented generation.
  • Experience in fine-tuning open-source large language models (LLMs).
  • Proficiency in Python programming and machine learning frameworks.
  • Ability to collaborate effectively with data scientists and data engineers.
  • Strong analytical skills to process and verify data integrity.
  • Experience in analyzing large datasets to identify trends and patterns.
  • Knowledge of data transformation techniques for model optimization.

Nice-to-haves

  • Experience with Azure OpenAI and Google Machine Learning services.
  • Familiarity with deep learning models and algorithms.
  • Knowledge of business process automation using AI/ML.

Benefits

  • Comprehensive Medical Plan covering Medical, Dental, Vision.
  • Short Term and Long-Term Disability Coverage.
  • 401(k) Plan with Company match.
  • Life Insurance.
  • Vacation Time, Sick Leave, Paid Holidays.
  • Paid Paternity and Maternity Leave.
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