123 Jupyter Jobs - Page 5

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

Job Title: ML Prompt Engineer Location - Bangalore Hybrid . Job Description: Principle Developer - ML/Prompt Engineer Technologies: Amazon Bedrock, RAG Models, Java, Python, C or C++, AWS Lambda Responsibilities: Responsible for developing, deploying, and maintaining a Retrieval Augmented Generation (RAG) model in Amazon Bedrock, our cloud-based platform for building and scaling generative AI applications. Design and implement a RAG model that can generate natural language responses, commands, and actions based on user queries and context, using the Anthropic Claude model as the backbone. Integrate the RAG model with Amazon Bedrock, our platform that offers a choice of high-performing founda...

What Youll Do We are seeking a dynamic Account Executive - Artificial Intelligence (AI) to join our strong and strategic sales team. As an AI Account Executive, you will drive the adoption of our AI solutions across various industries. You will identify potential clients across Australia and New Zealand, understand their specific needs, and provide tailored AI solutions that align to their business operations. This role requires an understanding of AI technologies, tools, frameworks, and a strong ability to define AI use-cases as part of a transformation journey for our customers. Who Youll Work With The Cloud and AI Infrastructure team is responsible for helping the extensive Cisco customer...

Principle Developer - ML/Prompt Engineer Technologies: Amazon Bedrock, RAG Models, Java, Python, C or C++, AWS Lambda, Responsibilities: Responsible for developing, deploying, and maintaining a Retrieval Augmented Generation (RAG) model in Amazon Bedrock, our cloud-based platform for building and scaling generative AI applications. Design and implement a RAG model that can generate natural language responses, commands, and actions based on user queries and context, using the Anthropic Claude model as the backbone. Integrate the RAG model with Amazon Bedrock, our platform that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API, along wit...

Roles and Responsibilities : Design, develop, test, and deploy data science models using Python programming language. Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions. Develop high-quality code in Jupyter Notebooks for data analysis, visualization, and machine learning tasks. Troubleshoot issues related to model performance, scalability, and reliability. Job Requirements : 5-8 years of experience in Python development with expertise in data science applications. Strong proficiency in Jupyter Notebook for coding and debugging purposes. Experience working on large datasets using Pandas library for data manipulation and analys...

Key Responsibilities: Deliver engaging and interactive training sessions (24 hours total) based on structured modules. Teach integration of monitoring, logging, and observability tools with machine learning. Guide learners in real-time anomaly detection, incident management, root cause analysis, and predictive scaling. Support learners in deploying tools like Prometheus, Grafana, OpenTelemetry, Neo4j, Falco, and KEDA. Conduct hands-on labs using LangChain, Ollama, Prophet, and other AI/ML frameworks. Help participants set up smart workflows for alert classification and routing using open-source stacks. Prepare learners to handle security, threat detection, and runtime anomaly classification ...