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Ai Ml Engineer
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- Posted a month ago
- Over 500 applicants have applied
Job Description
Key Responsibilities:
- Apply core data science concepts to design and develop AI solutions.
- Write and optimize Python code for data analysis, AI modeling, and system integration.
- Use SQL to query and manage relational databases for AI workflows.
- Assist in the design and implementation of Generative AI systems, including prompt engineering and LLM-based applications.
- Support RAG (Retrieval-Augmented Generation) pipelines and integration with AI frameworks like LangChain.
- Collaborate with teams to configure and deploy AI solutions in cloud environments.
- Participate in hands-on projects involving Generative AI, computer vision, and machine learning/deep learning.
- Follow best practices for development using GitHub and cloud-based application workflows.
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Key Skills
About Company
RandomTrees is a global provider of Data and AI services. Led by distinguished Industry experts with a passion to innovate with data. We help reinvent your enterprise with cutting edge Generative AI backed by our niche expertise to handle any type of data. We bring a unique set of data & and AI accelerators that help jumpstart & accelerate AI journey in the enterprise. Our differentiators are backed by the leading enterprise cloud partners and clients span across life sciences, Automotive and other manufacturing Industries Our portfolio comprises of: (1) Cloud data engineering services & Accelerators (2) Gen AI Products, Accelerators & services.
Skills:
Ml, Pyqt, Grafana, Itk, Prometheus, FastAPI, Python, Docker, Confluence, Jenkins, REST, Flask, Git, ENOVIA, pywin32, GitHub Actions, Tkinter, Catia, PyCATIA, Teamcenter, Ai, ReadTheDocs
Skills:
object tracking , Tensorflow, Pytorch, Opencv, Python, Video Processing, object detection frameworks, model evaluation, YOLO, model training, model optimization
Skills:
prophet , Python, Sql, Seaborn, Pandas, Numpy, Azure Databricks, AR, Nosql, Git, Azure DevOps, Knn, Azure Data Factory, Random Forest, Arima, Docker, Logistic Regression, Azure Data Explorer, plotly, Time Series Forecasting Models, scikit-learn, ARMA, Hive Metastore, Matrix Profile, MLflow, pyarrow, Azure Machine Learning Service, Kusto
Skills:
Python Programming, test automation, API design, Tensorflow, Devops, Nltk, Pytorch, Docker, Keras, Kubernetes, Strong statistical quantitative skills, CI CD, Cloud experience – AWS Azure GCP, End-to-end data pipelines, spaCy, AI ML Supervised Unsupervised GenAI LLMs NLP, Linux systems, Database experience – Postgres Redshift MSSQL, Data integration across logs APIs files and databases
Skills:
Machine Learning, Artificial Intelligence, Python, Sql, Pytorch, Generative AI