What are the responsibilities and job description for the Data Scientist AIML Engineer position at UrBench?
Job description
Data Scientist requirement
Data Scientist AIML P2P3
Experience 6- 8 Years
Skillset Required
Expert level understanding of Machine LearningDeep Learning concepts techniques algorithms
Hands on working experience on building end to end MLDL solutions
Expert level proficiency in Python programming is a prerequisite
Strong understanding of objectoriented programming and design principles
Experienced with common data science packages in Python like Pandas Numpy Matplotlib and frameworks such as Tensorflow Pytorch
Handson experience in RESTful APIs development with FlaskAPI FastAPI
Excellent understanding of NLP concepts libraries including Word2Vec TFIDF NLTK SpaCy Gensim BERT GloVe etc
Must have experience in development of NLPNLGNLU projects
Deep understanding of Transformer Architectures including BERT GPT DistillBert
Good understanding of Generative AI concepts like Large Language Models Finetuning Evaluating LLMs PEFT RAG Embeddings Vector Databases etc
Experience in frameworks such LangChain LlamaIndex
Experience with Large Language models such as Llama GPT PaLM etc
Experience with Amazon Bedrock Azure OpenAI GCP GenAI Studio
Expertise in training and finetuning LLMs would be preferred
Proficientcy in model development deployment and optimization techniques
Certifications in GenAIAIML preferred
Experienced in deploying AI solutions in cloud environments
Working knowledge in any of the major cloud services AWSAzure
Working knowledge in either of AWS SageMakerAzure Cognitive ServicesGoogle Vertex AI
Certification in any of the Cloud Platforms AWSAzureGCP
Good problemsolving and critical thinking skills
Familiarity with version control systems Git
Knowledge of SQL NoSQL
Key Roles Responsibilities
Create and maintain highquality reusable code components and libraries for future use
Perform rigorous testing and validation to ensure models perform accurately and efficiently in various conditions
Ensure optimal performance responsiveness and scalability of applications across various platforms and devices
Optimize applications for maximum speed maintainability and reliability
Collaborate with cross functional team and various stakeholders as required
Mentor team members and perform code reviews ensuring excellent coding standards
Stay updated with the latest developments in the Generative AI space
Proactively take ownership of tasks and take up additional responsibilities as required
Should be open to working in a fastpaced team culture
Skills
Mandatory Skills : Python - Data Science
UrBench is an equal opportunity employer and is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, status as a parent, disability, age, veteran status, or other characteristics as defined by federal, state or local laws.
