AIML Senior Developer

2 months ago


Noida, India SAM Manpower and Career Services LLP Full time

Must Have Skills Generative AI GPT3ML Ops and Python

Proficient in Pythonwith experience in machine learning deep learning and NLPprocessing.

Experience in developing andimplementing generative AI models with a strong understanding ofdeep learning techniques such as GPT VAE andGANs.

Proficient in LangchainLLM

PromptEngineering: The engineer prompts and optimizes fewshottechniques to enhance LLMs performance on specific tasks e.g.personalized recommendations.

Model Evaluation &Optimization: Evaluate LLMs zeroshot and fewshotcapabilities finetuning hyperparameters ensuring taskgeneralization and exploring model interpretability for robust webapp integration.

Response Quality: Collaboratewith ML and Integration engineers to leverage LLMs pretrainedpotential delivering contextually appropriate responses in auserfriendly web app.

It is essential to have asolid understanding of data structures algorithms and principles ofsoftware engineering.

Experience with vectordatabases RDBMS MongoDB and NoSQL databases.

Proficiency in working with embeddings.

Strongdistributed systems skills and system architectureskills

Experienced in building and running alarge platform at scale.

Handson experience withPython Hugging Face TensorFlow Keras PyTorch Spark or similarstatistical tools.

Experience as data modelingML/NLP scientist. including but not limited to Performance tuningfinetuning RLHF and performance optimization. Validated backgroundwith ML toolkits such as PyTorch TensorFlow Keras LangchainLlamadindex SparkML or Databricks.

Proficientwith the integration of data from multiple data sources Experiencewith NoSQL databases such as HBase ElasticSearch and MongoDB APIDesign. API/Data mapping to schema.

Experiencedin and strong knowledge of using AI/ML and more particularly LLMseager to apply this rapidly changing technology.

Good Knowledge of Kubernetes and RESTful design.

Prior experience in developing public cloud services or opensourceML software is an advantage

hbase,llamadindex,spark,mongodb,rdbms,gpt3,databricks,rlhf,gans,elasticsearch,vae,kubernetes,keras,sparkml,langchain,tensorflow,pytorch,embeddings,python,nosql,gpt,ai/ml,performanceoptimization,restful design,machine learning,deep learning,nlpprocessing,hugging face,ml ops,software engineering,aimodels,performance tuning,data structures,llm's pre-trainedpotential,system architecture skills,open-source mlsoftware,distributed systems skills,developing public cloudservices,llm's zero-shot and few-shot capabilities,building andrunning a large platform



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