Hyderabad, Telangana, India
Information Technology
Full-Time
ConcertAI
Overview
Job Requirements
Job Summary
As a Data Scientist, you will partner closely with a team of stake holders, product managers, and data engineers to solve real problems in healthcare domain.
We are looking for great problem solvers who can tap into the potential of data and deliver scalable and robust data products. Our potential member would work on developing and implementing machine learning algorithms for various Products and Solutions
Job Responsibilities
Desired profile
Job Summary
As a Data Scientist, you will partner closely with a team of stake holders, product managers, and data engineers to solve real problems in healthcare domain.
We are looking for great problem solvers who can tap into the potential of data and deliver scalable and robust data products. Our potential member would work on developing and implementing machine learning algorithms for various Products and Solutions
Job Responsibilities
- Leveraging 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/ deep 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
- Leverage recent advances in machine learning technologies and oversee the team’s training
Desired profile
- Bachelor’s / Master’s degree in computer science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields from tier 1 college
- Have 2 - 5 years of experience in analyzing large volumes of data and building predictive models.
- Strong experience on the fundamentals of NLP, various linguistic data extraction and modelling techniques, with a strong focus on LLMs (both kinds Encoders and Decoders) and Gen AI based modelling
- Experience of Gen AI is must, along with experience in taking AI to production is also a must
- Hands-on experience in analytics techniques such as outlier detection, clustering, classification, regression, and hypothesis testing.
- Have an excellent academic background with strong Hands-on Knowledge of Python OR Scala.
- Understands the core concepts of Machine Learning and the math behind it.
- Have good knowledge of existing ML tools and technologies.
- Know all the general best practices of Machine Learning
- Experience or educational courses/projects in Machine Learning, and/or Text Mining Algorithms.
- Knowledge of statistical techniques, linear algebra, 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.
- Excellent Communication Skills (with the ability to explain developed tools and ML algorithms to a non-technical audience)
- Ability to formulate operational problems in healthcare domain as technical problems that allows 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.
- Experience with Deep Learning Frameworks such as Keras, Tensorflow, PyTorch,Mxnet etc.
- Experience with interpretability of deep learning models
- Big Data Skills (Hadoop, Spark, recent deep learning platforms)
- Experience with text mining tools and techniques including in areas of summarization, search (e.g. ELK Stack) , entity extraction, training set generation (e.g. Snorkel) and anomaly detection
- Expert software development skills including developing and maintaining good production quality code
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