48 Job openings found

      Roles and responsibilities ·        Enable the power of data analytics in the medical/healthcare domain. ·        Enable the power of data science in the Marketing/customer analytics domain. ·        Work with multiple business units to develop solutions and accelerators for high-performance and scalable AI.  ·        Discover customer and patient findings/potential insights using advanced analytics techniques such as NLP, statistical analysis, ...

Role: Data Scientist Work Mode: Onsite Location: Chennai  Year of Experience: 5 - 6 Years No of Positions: 1 Notice Period: Immediate  Good To Have Skills: Communication Must Have Skills: PySpark, Modelling Machine Learning, Python     Job Description: 1 Proficient in using basic Python syntax and data types, and can create simple data visualizations using Matplotlib.  2) Understands basic data manipulation tasks using Pandas." "Capable of performing linear regression ...

Role: Data Scientist -Python+Google Cloud PlatformWork Mode: Onsite- PermanentLocation- Bangalore Year of Experience: 5-7 Years No of Positions: 1 Notice Period: Immediate or 15 days   Good To Have Skills: Pytorch, ML Flow, SparkMust Have Skills: Open AI/Generative AI, Google Cloud Platform, Large Language Models (LLM), Retail, Python, SQLExternal DescriptionWe are seeking an AI/ML Engineer to design, develop, and implement models for retail ...

  Job description 19.11.24   HPS/2024/712 BSC/MSC Fresher Male 1 0 to 1 BSC/MSC Roles and Responsibilities     BSC or MSC degree can vary depending on the field, but may include: Regulatory department Preparing certificates of analysis, technical data sheets, and stability data      Purchase department Researching company needs, building relationships with suppliers, and negotiating pricing      Quality assurance Supervising and checking the quality of production, and performing chemical testing      Android ...

Role Overview In this role, you will leverage your strong data analysis and modeling skills to build dataproducts that offer our clients valuable insights into their performance and the competitivelandscape. You will work with diverse 1st and 3rd party data sources-including email receiptdata, clickstream data, web scraped data, and more-to develop ...

Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 3.5 - 7 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product ...

Key Responsibilities Collect, clean, and analyze large datasets from multiple sources Develop and implement machine learning and statistical models Perform exploratory data analysis (EDA) to identify trends and patterns Create dashboards, reports, and visualizations for stakeholders Translate business problems into data-driven solutions Work closely with cross-functional teams (Product, Engineering, Business) Optimize and improve model performance Automate data processes ...

Requirements: Overall 6+ years of work experience in relevant hands on experience handling data driven decisions Experience in various statistical and machine learning models, data mining, unstructured data analytics in corporate or academic research environments Must have strong of programming experience in R/Python Experience in machine learning techniques and algorithms, such as like-Classification, ...

Key Responsibilities: - 1. Model Development: Design, build, and optimize supervised, unsupervised, and deep learning models for various business problems. 2. Data Exploration & Feature Engineering: Clean, transform, and analyze structured and unstructured data; identify significant features. 3. AI Integration: Develop end-to-end AI pipelines and integrate models into production systems ...

Qualification Bachelor?s degree in Computer Science, Data Science,Mathematics, or related technical field.  Master/ PhD degree in Computer Science, Software Engineering, Mathematics, or related field.   Responsibilities   Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy. Collaborate with other data scientists and data engineers to ensure that specifications are translated into flexible, scalable, and ...