Apptad - ML Engineer
Apptad - ML Engineer
Posted on :
24-08-2024
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Job Description
Job Title: Apptad ML Engineer
Job Location: US GA preferred
Job Duration: LongTerm
Job Location: US GA preferred
Job Duration: LongTerm
Job Description
Key Responsibilities
Key Responsibilities
- Leverage distributed training systems to build scalable machine learning pipelines for model training and deployments in ITOT Products space
- Design and implement solutions to optimize distributed training execution in terms of model hyperparameter optimization model traininginference latency and systemlevel bottlenecks
- Research and impalement state of the art LLM models for different business use cases including finetuning 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
Your background and who you are
- 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 scikitlearn 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 AzureML
- 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 nontechnical audience
Preferred Qualifications
- Proficient PythonPySpark 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 AzureML
- Industry experience with popular ml frameworks such as Spark MLlib Keras Tensorflow PyTorch HuggingFace Transformers and libraries like scikitlearn spacy gensim CoreNLP etc
- Experience in designing scalable services controller architecture using FastAPI
Skills
- Machine LearningPython
Employment Type
Full Time
Key Skills
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