Required Skills

Data Scientist

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 :- 5th Dec 2023

JOB DETAIL

• Build scalable software solutions using LLM’s and other ML models to solve challenges in healthcare

• Build enterprise grade AI solutions with focus on privacy, security, fairness.

• Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions

• Strong engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats as required – This is critical so that the AI output can be consumed as is and displayed on the dashboard for accelerated development cycles.

• Build extensible API Integrations, low code UI/UX solutions, with extremely short cycle times, to extract information from sources, integrate with GPT4, receive insights and make them available in intuitive, high performing dashboards

• Build solutions that align with responsible AI practices.

• Envision the solution outcomes to solve for the business problem with actionable insights and design viable solutions to meet the outcomes.

• Understand how AI is interpreting the data set and use that understanding to build prompts that lead to expected outcomes

• Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies.

• Work with frameworks(Tensorflow, PyTorch) and open source platforms like Hugging Face to deliver the best solutions

• Optimize existing generative AI models for improved performance, scalability, and efficiency.

• Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.

• Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.

• Contribute to the establishment of best practices and standards for generative AI development within the organization.

 

Qualifications:

 

• Degree in Computer Science, Artificial Intelligence, or a related field.

• 5 years of Full stack engineering expertise with languages like C#, Python and Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging

• Experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus.

• Experience with information storage/retrieval using vector databases like pinecone.

• Strong understanding and exposure in natural language generation or Gen AI like transformers, LLM’s, text embedding’s.

• Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats(pdf, csv, doc, etc)

• Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index.

• 3 years of experience in a technical leadership role leading project teams and setting technical direction.

• 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.

• Programming experience in C/C++, Java, Python.

• Strong knowledge of data structures, algorithms, and software engineering principles.

• Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure.

• Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.

• Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.

• Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment

• This is a hybrid role and will require the ability to work in-person as per business needs.

Company Information