Required Skills

Data Science Data Engineer

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 6th Jan 2024

JOB DETAIL

Skills: 

  • BS/BA in a Computer Science, Engineering, or Mathematics/Statistics field

  • 2+ years of Machine-Learning experience

  • AWS Sagemaker

  • LLM (Llama, Mistral, etc.)

  • R or Python

  • AWS Certifications (Data Science, Data Engineer, Solution Architect, Machine-learning, etc.) or similar certification is highly preferred!

 

Preferred, but not Required:

  • Graduate degree in Data Science or other quantitative fields such as Statistics

  • Is a Certified Analytics Professional (CAP), or Open Group Certified Data Scientist

  • Java experience

  • TensorFlow experience

 

Job Description:

  • Construct algorithms and writing computer programs to perform Descriptive (what happened), Diagnostic (why it happened), Predictive (what will happen), and Prescriptive analytics on large datasets

  • Identify/Assess/Validate data sources and create automated collection processes, as well as assess the effectiveness and accuracy of new data sources and data gathering techniques.

  • Undertake the preprocessing of structured and unstructured data

  • Build predictive models and machine-learning algorithms; also, develop custom data models and algorithms to apply to datasets.

  • Modify, create, and deploy applications using foundation models and llms, to solve generative AI challenges

  • Present information using data visualization techniques

  • Propose solutions and strategies to business challenges

  • Collaborate with engineering and product development teams to identify opportunities for leveraging company data to drive business solutions.

 

Company Information