Location
Hyderabad | India
Job description
Job Description / Roles & Responsibilities (in Detail) "Experience: • BS, MS, or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, Economics or related quantitative fields • 6+ years of experience deploying and productionizing machine learning models and systems with predictive modeling, machine learning, reinforcement learning, bandits, NLP/NLU, LLMs • 2+ years of experience in Azure Cloud and Terraform • Experience deploying machine learning models into Microsoft Azure cloud (e.g. Azure ML, Databricks, Azure Data Factory, MLFlow, AKS) with a focus on scalability at low cost • Experience in building distributed pipeline, tuning, optimizing and evaluating machine learning models on large scale datasets • Experience in collaborating with other engineering teams to ship and integrate machine learning models to other applications at scale • Excellent Programming skills in Python and SQL, with working experience in Apache Spark, Hadoop, Kafka, Databricks, Snowflake, or other big data systems • Basic understanding of LLMs (ChatGPT, LLama, Falcon, Vicuna, Bard, etc.), Langchain and NLP • Experience with large scale streaming platforms (e.g. Kafka, Event Hub, Databricks Live Table / Structured Streaming), processing frameworks (e.g. Spark, Databricks) and storage engines • Excellent communication skills – ability to communicate technical concepts to both technical and non-technical audiences • Experience in CI/CD technology and Git"
Azure MLOPS, Azure Cloud, Terraform.
Job tags
Salary
