55 Jupyter Jobs - Page 2

Job Description BASIC QUALIFICATIONS Bachelor's degree in Computer Science, Engineering, Mathematics or a related field or equivalent professional or military experience 8+ years of total software development experience and 5+ years of experience of Data platform implementation Hands-on experience in implementation and performance tuning of Kinesis, Kafka, Spark or similar implementations Hands on experience with AWS technology stack and AWS AI stack including AWS Sagemaker & MLOps. Experience in Python and python frameworks (Django, Flask, Bottle), via various IDEs like PyTorch, Jupyter, Java/.Net, and other open-source libraries, building and designing REST APIs, etc. DevOps / Deployment a...

Responsibilities : Data Exploration and Insights : - Conduct continuous data exploration and analysis to identify opportunities for enhancing data matching logic, including fuzzy logic, and improving overall data quality within the SCI solution. - This includes working with large datasets from various sources, including Excel files and databases. Data Quality Improvement : - Perform various analyses specifically aimed at improving data quality within the SCI system. - This will involve identifying data quality issues, proposing solutions, and implementing improvements. Weekly Playback and Collaboration : - Participate in weekly playback sessions, using Jupyter Notebook to demonstrate data in...

We are looking for a highly skilled and experienced Senior Data Engineer to take charge of developing complex compliance and supervision models. Your expertise in cloud-based infrastructure, ETL pipeline development, and financial domains will be crucial in creating robust, scalable, and efficient solutions. As a Senior Data Engineer, your key responsibilities will include leading the development of advanced models using AWS services such as EMR, Glue, and Glue Notebooks. You will design, build, and optimize scalable cloud infrastructure solutions, drawing on a minimum of 5 years of experience in cloud infrastructure. Creating, managing, and optimizing ETL pipelines using PySpark for large-s...

Data Scientist Responsibilities : Data Exploration and Insights : - Conduct continuous data exploration and analysis to identify opportunities for enhancing data matching logic, including fuzzy logic, and improving overall data quality within the SCI solution. - This includes working with large datasets from various sources, including Excel files and databases. Data Quality Improvement : - Perform various analyses specifically aimed at improving data quality within the SCI system. - This will involve identifying data quality issues, proposing solutions, and implementing improvements. Weekly Playback and Collaboration : - Participate in weekly playback sessions, using Jupyter Notebook to demo...

Data Scientist Responsibilities : Data Exploration and Insights : - Conduct continuous data exploration and analysis to identify opportunities for enhancing data matching logic, including fuzzy logic, and improving overall data quality within the SCI solution. - This includes working with large datasets from various sources, including Excel files and databases. Data Quality Improvement : - Perform various analyses specifically aimed at improving data quality within the SCI system. - This will involve identifying data quality issues, proposing solutions, and implementing improvements. Weekly Playback and Collaboration : - Participate in weekly playback sessions, using Jupyter Notebook to demo...

As a Data Science Manager in the Research and Development (R&D) team at our organization, you will play a crucial role in driving innovation through advanced machine learning and AI algorithms. Your primary responsibility will involve conducting applied research, development, and validation of cutting-edge algorithms to address complex real-world problems on a large scale. You will collaborate closely with the product team to gain insights into business challenges and product objectives, enabling you to devise creative algorithmic solutions. Your role will entail creating prototypes and demonstrations to validate new ideas and transform research findings into practical innovations by collabo...

Responsibilities : Data Exploration and Insights : - Conduct continuous data exploration and analysis to identify opportunities for enhancing data matching logic, including fuzzy logic, and improving overall data quality within the SCI solution. - This includes working with large datasets from various sources, including Excel files and databases. Data Quality Improvement : - Perform various analyses specifically aimed at improving data quality within the SCI system. - This will involve identifying data quality issues, proposing solutions, and implementing improvements. Weekly Playback and Collaboration : - Participate in weekly playback sessions, using Jupyter Notebook to demonstrate data in...

Expert in Python and SQL for data exploration and modeling. - Strong background in statistical modeling, segmentation, and A/B testing. - Experience with scikit-learn, pandas, Jupyter, and optional tools like Tableau, Looker, or dashboards. - Comfortable working with campaign goals (ROAS, CPA, sales lift) and developing actionable audience insights. Develops insights, audience scoring, and experiment frameworks to identify the highest-performing combinations of segments, channels, and strategies. Design audience insights pipelines using device/app/geo/time/segment data to surface high-performing cohorts. Build LTV, propensity, and uplift models to influence media planning and bidding strateg...

Responsibilities : Data Exploration and Insights : - Conduct continuous data exploration and analysis to identify opportunities for enhancing data matching logic, including fuzzy logic, and improving overall data quality within the SCI solution. - This includes working with large datasets from various sources, including Excel files and databases. Data Quality Improvement : - Perform various analyses specifically aimed at improving data quality within the SCI system. - This will involve identifying data quality issues, proposing solutions, and implementing improvements. Weekly Playback and Collaboration : - Participate in weekly playback sessions, using Jupyter Notebook to demonstrate data in...

Responsibilities : Data Exploration and Insights : - Conduct continuous data exploration and analysis to identify opportunities for enhancing data matching logic, including fuzzy logic, and improving overall data quality within the SCI solution. - This includes working with large datasets from various sources, including Excel files and databases. Data Quality Improvement : - Perform various analyses specifically aimed at improving data quality within the SCI system. - This will involve identifying data quality issues, proposing solutions, and implementing improvements. Weekly Playback and Collaboration : - Participate in weekly playback sessions, using Jupyter Notebook to demonstrate data in...

Responsibilities : Data Exploration and Insights : - Conduct continuous data exploration and analysis to identify opportunities for enhancing data matching logic, including fuzzy logic, and improving overall data quality within the SCI solution. - This includes working with large datasets from various sources, including Excel files and databases. Data Quality Improvement : - Perform various analyses specifically aimed at improving data quality within the SCI system. - This will involve identifying data quality issues, proposing solutions, and implementing improvements. Weekly Playback and Collaboration : - Participate in weekly playback sessions, using Jupyter Notebook to demonstrate data in...

Role & responsibilities Duration : 6 Months + Extendable Job Locations: Any Protiviti Preferred/mandatory Skills: Role Focus: Support UAT and data validation during migration from legacy Cloudera to a big modern on-prem data platform. Core Tasks: Execute UAT, validate data pipelines (Hive, Impala, Spark, CDSW), perform quality checks, write SQL queries, and document test cases. Must-Have Skills: 3+ years in big data UAT/QA, strong SQL, experience with Cloudera tools, data validation, and platform migration exposure. Nice to Have: PySpark, Jupyter, data governance knowledge, telecom, or large enterprise experience. Preferred candidate profile

Contractual (Project-Based) Notice Period: Immediate - 15 Days Fill this form: https://forms.office.com/Pages/ResponsePage.aspx?id=hLjynUM4c0C8vhY4bzh6ZJ5WkWrYFoFOu2ZF3Vr0DXVUQlpCTURUVlJNS0c1VUlPNEI3UVlZUFZMMC4u Resume- shweta.soni@panthsoftech.com

Responsibilities : Data Exploration and Insights : - Conduct continuous data exploration and analysis to identify opportunities for enhancing data matching logic, including fuzzy logic, and improving overall data quality within the SCI solution. - This includes working with large datasets from various sources, including Excel files and databases. Data Quality Improvement : - Perform various analyses specifically aimed at improving data quality within the SCI system. - This will involve identifying data quality issues, proposing solutions, and implementing improvements. Weekly Playback and Collaboration : - Participate in weekly playback sessions, using Jupyter Notebook to demonstrate data in...

Responsibilities : Data Exploration and Insights : - Conduct continuous data exploration and analysis to identify opportunities for enhancing data matching logic, including fuzzy logic, and improving overall data quality within the SCI solution. - This includes working with large datasets from various sources, including Excel files and databases. Data Quality Improvement : - Perform various analyses specifically aimed at improving data quality within the SCI system. - This will involve identifying data quality issues, proposing solutions, and implementing improvements. Weekly Playback and Collaboration : - Participate in weekly playback sessions, using Jupyter Notebook to demonstrate data in...

Data Scientist Responsibilities : Data Exploration and Insights : - Conduct continuous data exploration and analysis to identify opportunities for enhancing data matching logic, including fuzzy logic, and improving overall data quality within the SCI solution. - This includes working with large datasets from various sources, including Excel files and databases. Data Quality Improvement : - Perform various analyses specifically aimed at improving data quality within the SCI system. - This will involve identifying data quality issues, proposing solutions, and implementing improvements. Weekly Playback and Collaboration : - Participate in weekly playback sessions, using Jupyter Notebook to demo...

Responsibilities : Data Exploration and Insights : - Conduct continuous data exploration and analysis to identify opportunities for enhancing data matching logic, including fuzzy logic, and improving overall data quality within the SCI solution. - This includes working with large datasets from various sources, including Excel files and databases. Data Quality Improvement : - Perform various analyses specifically aimed at improving data quality within the SCI system. - This will involve identifying data quality issues, proposing solutions, and implementing improvements. Weekly Playback and Collaboration : - Participate in weekly playback sessions, using Jupyter Notebook to demonstrate data in...

Role & responsibilities Deliver subject-specific lectures, case studies, simulations, and workshops to PGDM/MBA/BBA/BCA students Develop course material, lesson plans, and hands-on activities aligned with AICTE / MDU and industry standards Use tools like Excel, Python, Tableau, R, SCM tools (for Operations), and simulation platforms Mentor students on projects, internships, and live case assignments Evaluate students performance through continuous internal assessments Organize skill labs, certification support sessions, and corporate knowledge exchange events Willing and excited to also take administrative responsibilities and job roles Subject-wise Requirements: 1. Business Analytics (Full-...

Data Analyst / Machine Learning Specialist Having meetings with team members regarding projects Collecting and interpreting data Automating and integrating processes Researching solutions to overcome data analytics challenges Developing complex mathematical models that integrate business rules and requirements Creating machine learning models Communicating and meeting with engineers, IT teams, and other interested parties Sharing complex ideas verbally and visually in an understandable manner with non-technical stakeholders Experience in technologies like: Python Jupyter Machine Learning Algorithms SQL Data Visualization Statistical or Mathematical software

Data Analyst / Machine Learning Specialist Having meetings with team members regarding projects Collecting and interpreting data Automating and integrating processes Researching solutions to overcome data analytics challenges Developing complex mathematical models that integrate business rules and requirements Creating machine learning models Communicating and meeting with engineers, IT teams, and other interested parties Sharing complex ideas verbally and visually in an understandable manner with non-technical stakeholders Experience in technologies like: Python Jupyter Machine Learning Algorithms SQL Data Visualization Statistical or Mathematical software

What Youll Do We are seeking a Solutions Engineer - Artificial Intelligence (AI) Practitioner to join our dynamic sales team. As an SE (AI Practitioner), you will consult and drive the adoption of our AI solutions across various industries. You will identify potential clients, understand their specific needs, and provide tailored AI solutions that enhance their business operations. This role requires a deep understanding of AI technologies, real world deployment experience and expert capability to relay business and technical concepts to a diverse audience. Who Youll Work With The Cloud and AI Infrastructure team is responsible for helping customers change their business using Cisco technolo...

Must have skills : - 6+ Years of Experience. - Statics, SQL, Big query, LLM, AI, Python - Work experience in the payments, ecommerce, or financial services industry is a plus . Responsibilities : - At least 6 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions - Bachelor's/Master's degree in a quantitative field (such as Analytics, Statistics, Mathematics, Economics or Engineering) or equivalent field experience - Advanced SQL experience, preferable with Big Query analytics (Google Cloud) on Jupyter Notebooks and experience analyzing very large, complex, multi-dimensional data sets. - Understanding of statistics (e.g hypothesis...

Responsibilities : - Proficiency in Python and related libraries (e.g., TensorFlow, PyTorch, Scikit-Learn). Strong programming and software development skills. Knowledge of data structures, algorithms, and statistical methods. Designing and coding. Training, testing, and evaluating AI models. Debugging and optimizing code for performance. Working with data engineers to preprocess and prepare data. Tools: Python IDEs and development environments (e.g., Jupyter Notebook, PyCharm). Working knowledge of machine learning frameworks and libraries. Version control systems like Git.

YOUR IMPACT Are you passionate about developing mission-critical, high quality software solutions, using cutting-edge technology,in a dynamic environment OUR IMPACT We are Compliance Engineering,a global team of more than 300 engineers and scientists whowork on the most complex, mission-critical problems. We: build and operate? a suite of platforms and applications that prevent, detect, and mitigate regulatory and reputational risk across the firm. have access to the latest technology andto massive amounts of structured and unstructured data. leverage modern frameworks to build responsive and intuitive UX/UI and Big Data applications. Compliance Engi??neering is looking to fillseveralbig dat...

AI/ML Models: Experience with Automated Valuation Models (AVM) and real-world deployment of machine learning models LangChain: Proficient in using LangChain for building LLM-powered applications Data Science Toolkit: Hands-on with Pandas, NumPy, Scikit-learn, XGBoost, LightGBM, and Jupyter Feature Engineering: Strong background in feature engineering and data intelligence extraction Data Handling: Comfortable with structured, semi-structured, and unstructured data Production Integration: Experience integrating models into APIs and production environments using Python-based frameworks Location-Remote, Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad