AI/ML Engineer
2 weeks ago
Job Description:
The AI/ML engineer role requires a blend of expertise in machine learning operations (MLOps), ML Engineering, Data Science, Large Language Models (LLMs), and software engineering principles.
Skills you'll need to bring:
- Experience building production-quality ML and AI systems. Experience in MLOps and real-time ML and LLM model deployment and evaluation. Experience with RAG frameworks and Agentic workflows valuable.
 - Proven experience deploying and monitoring large language models (e.g., Llama, Mistral, etc.). Improve evaluation accuracy and relevancy using creative, cutting-edge techniques from both industry and new research
 - Solid understanding of real-time data processing and monitoring tools for model drift and data validation. Knowledge of observability best practices specific to LLM outputs, including semantic similarity, compliance, and output quality.
 - Strong programming skills in Python and familiarity with API-based model serving.
 - Experience with LLM management and optimization platforms (e.g., LangChain, Hugging Face).
 - Familiarity with data engineering pipelines for real-time input-output logging and analysis.
 
Qualifications:
- Experience working with common AI-related models, frameworks and toolsets like LLMs, Vector Databases, NLP, prompt engineering and agent architectures.
 - Experience in building AI and ML solutions.
 - Strong software engineering skills for the rapid and accurate development of AI models and systems.
 - Prominent in programming language like Python.
 - Hands-on experience with technologies like Databricks, and Delta Tables.
 - Broad understanding of data engineering (SQL, NoSQL, Big Data), Agile, UX, Cloud, software architecture, and ModelOps/MLOps.
 - Experience in CI/CD and testing, with experience building container-based stand-alone applications using tools like GitHub, Jenkins, Docker and Kubernetes
 
Responsibilities:
- Participate in research and innovation of data science projects that have impact to our products and customers globally.
 - Apply ML expertise to train models, validates the accuracy of the models, and deploys the models at scale to production.
 - Apply best practices in MLOps, LLMOps, Data Science, and software engineering to ensure the delivery of clean, efficient, and reliable code.
 - Aggregate huge amounts of data from disparate sources to discover patterns and features necessary to automate the analytical models.
 
About Company
Improva
is a global IT solution provider and outsourcing company with contributions across several domains including FinTech, Healthcare, Insurance, Airline, Ecommerce & Retail, Logistics, Education, Insurance, Startups, Government & Semi-Government, and more.
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