Key Responsibilities:- Design, build, and optimize scalable data pipelines and ETL processes.- Develop and maintain data models, data marts, and analytical datasets.- Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions.- Perform exploratory data analysis (EDA) and create machine learning models as required.- Implement data quality checks, validation rules, and monitoring processes.- Automate data workflows and ensure timely availability of data.- Work with cloud platforms such as Azure, AWS, or GCP for data engineering https://jobeax.com/link/mAexMzztOeDvmTB5 Skills:- Proficient in programming languages such as Python or R.- Expertise in statistics, machine learning algorithms, and data mining techniques.- Experience with data preprocessing, feature engineering, and model validation.- Skilled in data visualization tools and libraries (Tableau, Power BI, Matplotlib, Seaborn).- Familiarity with big data platforms (Spark, Hadoop) and SQL databases.- Knowledge of cloud-based ML platforms (AWS SageMaker, Azure ML, GCP AI Platform).- Understanding of experimental design and A/B Testing.- Ability to communicate complex technical concepts to non-technical https://jobeax.com/link/XEdwBPwsGmdEyHPs Experience: 5 - 12 years (ref:hirist.tech)
Role Overview :The Data Engineer / Data Scientist will be responsible for designing, developing, and maintaining data pipelines, performing data analysis, building predictive models, and ensuring data quality across platforms and https://jobeax.com/link/XQxdZDhoECvBBRRC Responsibilities :- Design, build, and optimize scalable ...
Job Title : AI AND DATA SCIENTIST ENGINEERLocation : SuratJob Type : Full-TimeJob Overview :We are seeking an experienced AI and Data Scientist Engineer to design and implement data- driven AI solutions that optimize safety, operational efficiency, and compliance for industrial environments. This role involves applying ...
... develop, and deploy sophisticated machine learning models and deep learning architectures to address specific business problems. - Conduct comprehensive exploratory data analysis (EDA) to uncover hidden patterns, trends, and anomalies within large-scale datasets. - Engineer features and optimize data pipelines using Python libraries ...
... processing (NLP) and hands-on Large Language Model (LLM) fine-tuning experience - Mandatory Certification: Google Cloud Certified Professional Machine Learning Engineer or AWS Certified Machine Learning - Specialty Job Summary We are seeking an experienced NLP Data Scientist / LLM Fine-Tuning Specialist to take ownership of ...
... Experience handling large-scale datasets using PySpark, BigQuery, Snowflake, or Hadoop platforms.- Google Cloud Platform (GCP) certifications (e.g., Professional Data Engineer or Professional Machine Learning Engineer).- Proficiency with Git version control, CI/CD pipelines, and MLOps best practices. (ref:hirist.tech) []
... evolving needs. Learn more about our What and our Why and how we can work together . What Will You Do - Work with data scientists, data analysts, computational engineers, machine learning engineers, software developers, or business representatives across our global organization to research, develop, and deliver data science ...
... model insights, assumptions, limitations, and business impact clearly to technical and non-technicalstakeholders. We think you should have: Masters or PhD in Data Science, Computer Science, Statistics,Mathematics, or a related field 8+ years of professional experience as a Data Scientist,Machine Learning Engineer, or similar ...
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for ...
... Partner with engineering teams to instrument data collection.- Translate complex technical findings into clear narratives for leadership.- Investigate ad-hoc data questions and document metric definitions and model logic.Requirements:- 8+ years of experience in a data scientist, ML engineer, or advanced analytics role.- ...