Image-HasTech

Data Scientist

Aiqod
  • Pune
Salary: Not Disclosed

Description

Roots Innovation Labs is looking for a Machine Learning/Data Scientist with a passion for research and a knack for analysis, math, and statistics. Responsibilities Study and transform data science prototypes. Design machine learning systems. Research and implement appropriate ML/NLP/Gen AI algorithms, Models and tools. Develop machine learning applications according to requirements. Select appropriate datasets and data representation methods. Run machine learning tests and experiments. Perform statistical analysis and fine-tuning using test results. Train and retrain systems when necessary. Extend existing ML libraries and frameworks. Keep abreast of developments in the field. Required Education, Experience & Skills Candidate should have a Bachelor s Degree. 0 to 4 years of experience in ML/Data Science. Proven experience as a ML/NLP or similar role. Understanding of data structures, data modeling and software architecture. Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python. Familiarity with machine learning frameworks (like Keras or PyTorch or TensorFlow) and libraries. Excellent communication skills. Ability to work in a team. Outstanding analytical and problem-solving skills. Hands on experience working with Large Language Models and associated tools/processes Prompt Engineering, RAG, Vector Data Bases, Langchain, LORA, Finetuning pipelines etc. Benefits Join the core team to build the foundation of the next generation products. Surround yourself with passionate individuals who push you towards growth. Build innovative products for Enterprise customers. Learn experience with every assignment and project. Exponential career growth. Learning interpersonal skills through fun, team building and sports activities. Work Hard, Party harder.

Role and Responsibilities

  • Roots Innovation Labs is looking for a Machine Learning/Data Scientist with a passion for research and a knack for analysis, math, and statistics. Responsibilities Study and transform data science prototypes. Design machine learning systems. Research and implement appropriate ML/NLP/Gen AI algorithms, Models and tools. Develop machine learning applications according to requirements. Select appropriate datasets and data representation methods. Run machine learning tests and experiments. Perform statistical analysis and fine-tuning using test results. Train and retrain systems when necessary. Extend existing ML libraries and frameworks. Keep abreast of developments in the field. Required Education, Experience & Skills Candidate should have a Bachelor s Degree. 0 to 4 years of experience in ML/Data Science. Proven experience as a ML/NLP or similar role. Understanding of data structures, data modeling and software architecture. Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python. Familiarity with machine learning frameworks (like Keras or PyTorch or TensorFlow) and libraries. Excellent communication skills. Ability to work in a team. Outstanding analytical and problem-solving skills. Hands on experience working with Large Language Models and associated tools/processes Prompt Engineering, RAG, Vector Data Bases, Langchain, LORA, Finetuning pipelines etc. Benefits Join the core team to build the foundation of the next generation products. Surround yourself with passionate individuals who push you towards growth. Build innovative products for Enterprise customers. Learn experience with every assignment and project. Exponential career growth. Learning interpersonal skills through fun, team building and sports activities. Work Hard, Party harder.

Summary

Job Type : Full_Time
Designation : Data Scientist
Posted on : 14 August 2024
Department : Data Science & Analytics
Salary : Not Disclosed
Qualification : UG: Any Graduate PG: Any Postgraduate
Work experience : 0 - 4 years
Openings : 22
Email : [email protected]
Contact : 8888500068
Website : https://aiqod.com/contact/
Application End : 23 August 2024