Required Skills

Data Scientist AWS Azure

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 :- 8th Mar 2024

JOB DETAIL

        Design, develop, and implement advanced AI solutions to solve complex business problems across various domains.

·        Collaborate with engineers, researchers, and product managers to understand business needs and translate them into technical specifications for AI models.

·        Gather, clean, and prepare data for training and evaluating sophisticated AI models, ensuring data quality and ethical considerations.

·        Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs.

·        Evaluate and compare different AI model architectures and hyperparameters to optimize performance, address potential biases, and ensure responsible development.

·        Develop monitoring and evaluation frameworks to track AI model performance and ensure alignment with business goals.

·        Communicate complex AI concepts and findings to technical and non-technical audiences through data visualization, storytelling, and presentations.

Skills

Technical:

  • Programming languages: Python (proficient) with major ML libraries
  • Experience with opensource Gen AI LLMs e.g., Llama and Dolly
  • Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning, neural networks, transformers
  • Generative AI techniques: Experience with GANs, text-to-image generation, text generation models
  • Data wrangling & manipulation: SQL, data cleaning, feature engineering
  • Hyperscalers                   : AWS, Azure, or GCP experience a plus

Non-technical

  • Problem-solving & critical thinking: Ability to identify and solve complex problems with data-driven solutions.
  • Communication & collaboration: Effectively communicate technical concepts to diverse audiences, work with geographically distributed teams
  • Innovation & creativity
  • Attention to detail & accuracy
  • Self-motivation & continuous learning

 

Company Information