Senior Data Solutions Architect

2 months ago

PuneRemote, India i2e Consulting Pvt Ltd Full time

Data Science Lead at i2e Consulting Pvt Ltd

We are seeking a highly skilled Data Science Lead to join our team at i2e Consulting Pvt Ltd. As a Data Science Lead, you will play a critical role in driving the development and implementation of machine learning algorithms in Generative AI, Vision, and Applied Statistics and Machine Learning space.

Responsibilities:

  • Leverage AI/ML techniques and solutions to identify and mathematically interpret complex healthcare problems
  • Deploy and optimize machine learning solutions on massive datasets using big data technologies
  • Develop and prototype AI algorithms and software tools
  • Implement enhancements to existing algorithmic/Machine Learning solutions
  • Conduct quantitative data analysis using a variety of datasets
  • Increase the efficiency and improve the quality of solutions offered
  • Understand business use cases and pull the necessary data from various sources to provide key insights to stakeholders
  • Build and deploy additional functionalities as per client requirements
  • Build specialized solutions using LLMs for Chat, QnA, Summarization, document creation, and translation use cases in the healthcare domain
  • Contribute to Applied ML research projects, end-to-end ML problem solving
  • Gather a good understanding of the business needs of the project
  • Leverage recent advances in machine learning technologies and oversee the team's training
  • Lead a team of Data Scientists, developers, as well as clinicians to strategize, design, and evaluate AI-based solutions to healthcare problems
  • Take initiatives in innovation and research areas of solution development

Requirements:

  • Bachelor's Degree/Master's Degree in Computer Science, Mathematics, Statistics, Physics, Computer Engineering, or related fields from a tier 1 college
  • Have 6-9 years of experience in analyzing large volumes of data and building predictive models
  • Hands-on experience in analytics techniques such as outlier detection, clustering, classification, regression, and hypothesis testing
  • Hands-on experience developing applications and solutions using the latest LLMs
  • Have an excellent understanding of computer vision techniques applied to the pharmaceutical domain
  • Have an excellent academic background with strong hands-on knowledge of Python and SQL
  • Hands-on software development skills (Python preferred)
  • Understand the core concepts of Machine Learning, Deep Learning, Transformers, and the math behind it
  • Have good knowledge of existing ML tools like TensorFlow, PyTorch, PySpark, SK Learn
  • Know all the general best practices of ML
  • Able to understand the internals of popular ML tools and as per the need be able to modify existing popular tools and algorithms
  • Experience or educational courses/projects in Machine Learning, and/or Text Mining Algorithms
  • Knowledge of statistical techniques, linear algebra, and numerical optimization
  • Knowledge of ML theory such as bias variance tradeoff, regularization, loss functions, and experienced in A/B testing
  • Ability to work closely with domain experts to develop tools/algorithms needed to answer research questions in their studies
  • Understanding of popular cloud infrastructure providers and services applied to AI/ML domain is a must
  • Excellent communication skills (with the ability to explain developed tools and ML algorithms to a non-technical audience)
  • Ability to formulate operational problems in the healthcare domain as technical problems that allow for reuse of leading research in the area
  • Proven ability to work independently to learn new technologies, techniques, processes, languages, platforms, systems
  • Strong analytical, inferential, critical thinking, and creative problem-solving skills
  • Self-starter with ability to work both independently and with a team

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