Machine Learningbrf - Sany, India - Coders Brain Technology Pvt. Ltd.

Description

Dear Candidate
About us Coders Brain is a global leader in its servicesdigital and business solutions that partners with its clients tosimplify strengthen and transform their businesses. We ensure thehighest levels of certainty and satisfaction through a deepsetcommitment to our clients comprehensive industry expertise and aglobal network of innovation and delivery centers. We achieved oursuccess because of how successfully we integrate with our clients.
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Position:
MachineLearning
Experience:5years
Education:BE/B.Tech

Responsibilities:

Mandatory Skill: Background or experience in building and scalingGenerative AI Applicationsspecificallyaround frameworks like LangchainPGVector Pinecone AzureML Industryexperience with popular ML frameworks such as Spark MLlib KerasTensorflow PyTorchHuggingFace Transformersand libraries (like scikitlearn spacy gensim CoreNLPetc.).

Experience in designing scalableservices controller architecture usingFastAPI. Collaborate with colleagues acrossmultiple teams (Data Science and Data Engineering) onuniquemachine learning system challenges atscale. Leverage distributed training systemsto build scalable machine learning pipelines for model traininganddeployments in IT/OT Productsspace. Design and implement solutions tooptimize distributed training execution in terms ofmodelhyperparameter optimization modeltraining/inference latency and systemlevelbottlenecks. Research and impalement stateof the art LLM models for different business use cases includingfinetuningand serving theLLMs. Ensure ML Model performance uptime andscale maintaining high standards of code qualityandthoughtful design quality andmonitoring. Optimize integration betweenpopular machine learning libraries and cloud ML and dataprocessingframeworks.
Build Deep Learning models and algorithms with optimal parallelismand performance on CPUs/ GPUs.


Yourbackground and who you are:
MS or Ph.
D. inComputer Science Software Engineering Electrical Engineering orrelated fields. 3 years of industryexperience with Python in a programming intensiverole.

2 years of experience with one or moreof the following machine learning topics:
classificationclusteringoptimization recommendation systemgraph mining deep learning. 3 years ofindustry experience with distributed computing frameworks such asSpark Kubernetesecosystemetc.

3 years of industry experience withpopular ml frameworks such as Spark MLlib KerasTensorflowPyTorch HuggingFace Transformersand libraries (like scikitlearn spacy gensim CoreNLPetc.).

3 years of industry experience withmajor cloud computing services. Backgroundor experience in building and scaling Generative AI Applicationsspecifically around frameworkslike LangchainPGVector Pinecone AzureML. Prior experiencein building data products and established a track record ofinnovation would be a big plus.

An effectivecommunicator you shall be an ambassador of Honeywell s MachineLearning engineeringat external forums andhave the ability to explain technical concepts to a non technicalaudience.

PreferredQualifications:
Proficient Python/PySparkcoding experience Proficient incontainerization services Proficient inAzure ML to deploy the models Experiencewith working in CICD framework Motivation tomake downstream modelers work smoother
machinelearning,ml,data,spark,cloud