Showing 588 Data Science Engineer Jobs in Indianapolis In

Work in Data Science projects (end to end lifecycle) which comprises of the following: Data pre-processing, Feature engineering, Model building, Model evaluation and productionizing the solution. Skills: Very Strong Mathematical/Statistical concepts of ML algorithms. Very good knowledge of NLP and b

B Tech/ BE, M.Sc.(Maths) or M Tech/ MS or equivalent in Mechanical / Metallurgical/ Electrical/ Electronics/ Computer Science / Instrumentation / Industrial Engineering/Operations Research or in any other relevant discipline. Relevant Experience : Min. 2-4 years of experience Experience related to a

Job description - Data Scientist Job Title: Data Scientist Experience Required: 4 Years to 6 Years Qualification: B.Tech / B.E. in Any Specialization, B.Sc in Mathematics, Artificial Intelligence and Data Science, Mathematics And Computer Applications, Statistics, Science, Artificial Intelligence, I

Job description - Data Scientist Job Title: Data Scientist Experience Required: 4 Years to 6 Years Qualification: B.Tech / B.E. in Any Specialization, B.Sc in Mathematics, Artificial Intelligence and Data Science, Mathematics And Computer Applications, Statistics, Science, Artificial Intelligence, I

Lead end-to-end data science projects from problem definition through deployment and monitoring Conduct comprehensive exploratory data analysis (EDA) to uncover patterns, anomalies, and opportunities in complex datasets Design and implement advanced statistical models and machine learning algorithms

Hands-on experience in Python Langchain programming Experience in using Traditional AI/ML Models in SDLC Experience in leveraging Azure AI Services in projects Experience in Generative AI Concepts such as Advanced Prompt Engg, RAG, leveraging LLMs etc Excellent communication skills Analytical skills

JOB SUMMARY A data scientist is a statistical analyst who have working experience in the field of data science. Work with other data scientists, ML Ops team, R&D team, Business users team in collecting, analyzing, interpret data sets and build AI/ML models to drive optimization and improvement of pr

Must have 4+ years of IT experience Should have the capability to understand requirements and convert to design and provide pass the same seamlessly to the team who is working on the same. Extensive knowledge on statistical and analytical analysis Knowledge of validated approaches for scale-ability,

We are seeking hands-on developers to join the GenAIHUB team, responsible for building and scaling enterprise-grade Generative AI solutions. This role involves developing robust, secure, and high-performance systems leveraging modern AI frameworks, cloud-native architectures, and multi-language code

Strong knowledge of Applied AI ML & Deep Learning Data Science techniques, Hardcore in Deep Learning /Machine Learning/NLP Deep knowledge about machine learning algorithms such as tree-based methods, clustering, regression and classification, dimension reduction techniques, linear regression, Logist