Machine Learning Engineer
24 hours ago
Job Description
At VDart, we are seeking a skilled Machine Learning Engineer to leverage distributed training systems and build scalable machine learning pipelines for model training and deployments in ITOT Products space.
Key Responsibilities
- Design and implement solutions to optimize distributed training execution in terms of model hyperparameter optimization model training inference latency and system level bottlenecks.
- Research and implement state-of-the-art LLM models for different business use cases including fine-tuning and serving the LLMs.
- Ensure ML Model performance uptime and scale maintaining high standards of code quality and thoughtful design quality and monitoring.
- Optimize integration between popular machine learning libraries and cloud ML and data processing frameworks.
- Build Deep Learning models and algorithms with optimal parallelism and performance on CPUs GPUs.
Requirements
- MS or PhD in Computer Science Software Engineering Electrical Engineering or related fields.
- 3 years of industry experience with Python in a programming intensive role.
- 2 years of experience with one or more of the following machine learning topics classification clustering optimization recommendation system graph mining deep learning.
- 3 years of industry experience with distributed computing frameworks such as Spark Kubernetes ecosystem etc.
- 3 years of industry experience with popular ML frameworks such as Spark MLlib Keras Tensorflow PyTorch HuggingFace Transformers and libraries like scikit-learn spacy gensim CoreNLP etc.
- 3 years of industry experience with major cloud computing services.
- Background or experience in building and scaling Generative AI Applications specifically around frameworks like Langchain PGVector Pinecone Azure ML.
- Prior experience in building data products and established a track record of innovation would be a big plus.
- An effective communicator you shall be an ambassador for Machine Learning engineering at external forums and have the ability to explain technical concepts to a non-technical audience.
Preferred Qualifications
- Proficient Python PySpark coding experience.
- Proficient in containerization services.
- Proficient in Azure ML to deploy the models.
- Experience with working in CICD framework.
- Motivation to make downstream modelers work smoother.
- Background or experience in building and scaling Generative AI Applications specifically around frameworks like Langchain PGVector Pinecone Azure ML.
- Industry experience with popular ML frameworks such as Spark MLlib Keras Tensorflow PyTorch HuggingFace Transformers and libraries like scikit-learn spacy gensim CoreNLP etc.
- Experience in designing scalable services controller architecture using FastAPI.
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