1487 Matplotlib Jobs - Page 46

Key Responsibilities: Develop and implement machine learning models and algorithms for various business use cases. Preprocess and analyze structured and unstructured data (text, image, video, etc.). Collaborate with cross-functional teams to integrate AI models into production systems. Conduct model validation, tuning, and performance evaluation. Stay up-to-date with the latest research and trends in AI and ML. Document processes and maintain clear version control using tools like Git. Required Skills & Qualifications: Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field. 1–2 years of hands-on experience in machine learning, deep learning, or AI projects. Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras. Experience with data preprocessing, feature engineering, and model evaluation. Familiarity with tools like Jupyter Notebook, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn). Understanding of REST APIs and deploying models via Flask/FastAPI or similar frameworks. Exposure to cloud platforms (AWS, GCP, Azure) is a plus. Preferred Qualifications: Experience with NLP, Computer Vision, or Time Series forecasting. Knowledge of databases (SQL/NoSQL) and data pipelines. Contributions to open-source or AI/ML competitions (Kaggle, etc.). Familiarity with MLOps tools (e.g., MLflow, Docker, Kubernetes) is a bonus. Soft Skills: Strong analytical and problem-solving abilities. Effective communication and collaboration skills. Curious, self-driven, and eager to learn. What We Offer: Competitive salary and benefits. Mentorship and opportunities for skill development. A collaborative and dynamic work environment. Job Type: Full-time Pay: ₹400,000.00 - ₹800,000.00 per year Schedule: Day shift Supplemental Pay: Yearly bonus Work Location: In person

About us: GUVI (Grab Your Vernacular Imprint) Geek Network Private Limited is an Edu-Tech incubated by IIT-Madras, IIM-Ahmedabad and Partnered with Google for Education. What sets us apart is the fact that we offer online learning in a plethora of different vernacular languages along with English. With more than 15+ lakh users currently learning from our platform, GUVI continues to grow at a tremendous rate. For more information about us, visit www.guvi.in Responsibilities: 1. Instant Query handling. 2. Handling LIVE sessions. 3. Providing various weekly assignments, assessments, and tasks to learners and evaluating them on a regular basis. 4. Creating individual real-time mini projects involving learners to do hands-on and helping them update their profiles. 5. Tech support advice and tips for the interview Preparation. 6. Building good Rapport with learners and helping them with the smooth learning process in all possible ways. Skills: Python Programming, Pandas, Probability and Statistics with Numpy, MongoDB, Data Visualisation in Python (Matplotlib, Seaborn), Data Analysis on Image and text data, Machine Learning, NLP. Experience: 2+ years experience as a full time Data Scientist is mandatory Job Type: Part-time Show more Show less

Artificial Intelligence & Machine Learning Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH is a forward-thinking edtech startup offering project-driven virtual internships that prepare students for today’s competitive tech landscape. Our AI & ML Internship is designed to immerse you in real-world applications of machine learning and artificial intelligence, helping you develop job-ready skills through hands-on projects. 🚀 Internship Overview As an AI & ML Intern , you will explore machine learning algorithms, build predictive models, and work on projects that mimic real-world use cases—ranging from recommendation systems to AI-based automation tools. You’ll gain experience with Python, Scikit-learn, TensorFlow , and more. 🔧 Key Responsibilities Work on datasets to clean, preprocess, and prepare for model training Implement machine learning algorithms (regression, classification, clustering, etc.) Build and test models using Scikit-learn, TensorFlow, Keras , or PyTorch Analyze model performance and optimize using evaluation metrics Collaborate with mentors to develop AI solutions for business or academic use cases Present findings and document all steps of the model-building process ✅ Qualifications Pursuing or recently completed a degree in Computer Science, Data Science, AI/ML, or related fields Proficient in Python and familiar with data science libraries (NumPy, Pandas, Matplotlib) Basic understanding of machine learning concepts and algorithms Experience with tools like Jupyter Notebook , Google Colab , or similar platforms Strong analytical mindset and interest in solving real-world problems using AI Enthusiastic about learning and exploring new technologies 🎓 What You’ll Gain Hands-on experience with real-world AI and ML projects Exposure to end-to-end model development workflows A strong project portfolio to showcase your skills Internship Certificate upon successful completion Letter of Recommendation for high-performing interns Opportunity for a Full-Time Offer based on performance Show more Show less

Data Science Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH offers hands-on, project-based virtual internships that bridge the gap between academic knowledge and industry skills. Our Data Science Internship is curated to provide aspiring data professionals with real-world exposure in data collection, analysis, modeling, and decision-making using cutting-edge tools. 🚀 Internship Overview As a Data Science Intern , you’ll work on real-time datasets , apply machine learning models , and generate actionable insights . The role is ideal for individuals looking to strengthen their understanding of data pipelines, predictive modeling, and storytelling with data . 🔧 Key Responsibilities Clean, manipulate, and analyze structured and unstructured datasets Build and evaluate machine learning models for prediction/classification Apply statistical techniques to uncover trends and insights Work with tools such as Python, Pandas, NumPy, Scikit-learn, and Jupyter Notebooks Create visualizations using Matplotlib, Seaborn, or Power BI/Tableau Collaborate with mentors and peers to solve data-driven problems Document code, findings, and processes in clear and concise reports ✅ Qualifications Pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Engineering , or related fields Proficient in Python and familiar with Pandas, NumPy, and basic ML libraries Strong foundation in statistics, probability , and data visualization Understanding of supervised and unsupervised learning algorithms Eager to learn, experiment, and solve complex problems using data 🎓 What You’ll Gain Practical experience with real-world datasets and projects Exposure to machine learning workflows and tools Internship Certificate upon successful completion Letter of Recommendation for top performers Opportunity for a Full-Time Offer based on performance A portfolio of data science projects to showcase in interviews Show more Show less

Job Title: Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 8th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

About ISOCRATES Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM). iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether you’re a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth - so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. Job Description We are seeking a highly skilled, results-oriented Product Manager - AI & BI to lead the growth and development of iSOCRATES' MADTECH.AI™ platform. As a core member of the product team, you will play an instrumental role in shaping the future of our AI-powered Marketing, Advertising, and Data Decision Intelligence solutions. Your focus will be on driving innovation in AI and BI capabilities, ensuring that our product meets the evolving needs of our B2B customers and enhances their marketing and data analytics capabilities. Key Responsibilities Product Strategy & Roadmap Development: Lead the creation and execution of the MADTECH.AI™ product roadmap, with a focus on incorporating AI and BI technologies to deliver value for B2B customers. Collaborate with internal stakeholders to define product features, prioritize enhancements, and ensure alignment with iSOCRATES’ long-term business objectives. AI & BI Product Development: Spearhead the design and development of innovative AI and BI features to enhance the MADTECH.AI™ platform’s scalability, functionality, and user experience. Leverage cutting-edge technologies such as machine learning, predictive analytics, natural language processing (NLP), data visualization, reinforcement learning, and other advanced AI techniques to deliver powerful marketing, advertising, and data decision intelligence solutions. Cross-Functional Collaboration: Collaborate with cross-functional teams, including engineering, design, marketing, sales, and customer success, to ensure seamless product development and delivery. Facilitate communication between technical and business teams to ensure product features align with customer needs and market trends. Customer & Market Insights: Engage with customers and other stakeholders to gather feedback, identify pain points, and stay on top of market trends. Use this data to shape product development and enhance MADTECH.AI™ capabilities, ensuring they are well-positioned in the evolving market landscape. Product Lifecycle Management: Oversee the complete product lifecycle from ideation through launch and beyond. Manage ongoing iterations of the product based on customer feedback and performance metrics to ensure that MADTECH.AI™ remains competitive and meets user expectations. Data-Driven Decision Making: Use customer analytics, usage patterns, and performance data to inform key product decisions. Define success metrics, monitor product performance, and make adjustments as needed to drive product success. AI/BI Thought Leadership: Stay current on the latest trends in AI, BI, MarTech, and AdTech. Act as a thought leader both internally and externally to position iSOCRATES as an innovator in the MADTECH.AI space. Promote best practices and contribute to the company’s overall strategy for AI and BI product development. Qualifications & Skills Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Business, or a related field. At least 12 years of experience in product management, with a minimum of 7 years focused on B2B SaaS solutions and strong expertise in AI and BI technologies. Prior experience in marketing, advertising, or data analytics platforms is highly preferred. AI & BI Expertise: Deep understanding of Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Data Visualization, Business Intelligence tools (e.g., Tableau, Power BI, Qlik), and their application in SaaS products, especially within the context of MarTech, AdTech, or DataTech. AI Tools and Technologies : Hands-on experience with AI and BI tools such as: Data Science Libraries: TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGBM, Hugging Face Transformers, CatBoost, H2O.ai BI Platforms: Tableau, Power BI, Qlik, Looker, Domo, Sisense, MicroStrategy Machine Learning Tools: Azure ML, Google AI Platform, AWS Sagemaker, Databricks, H2O.ai, Vertex AI Data Analytics Tools: Apache Hadoop, Apache Spark, Apache Flink, SQL-based tools, dbt, Snowflake Data Visualization Tools: D3.js, Plotly, Matplotlib, Seaborn, Chart.js, Superset Cloud-Based AI Services: Google AI, AWS AI/ML services, IBM Watson, Microsoft Azure Cognitive Services, Oracle Cloud AI Emerging Tools: AutoML platforms, MLOps tools, Explainable AI (XAI) tools Product Development: Proven experience in leading AI/BI-driven product development within SaaS platforms, including managing the full product lifecycle, from ideation to launch and post-launch iterations. Agile Methodology: Experience working in Agile product development environments, with the ability to prioritize and manage multiple initiatives and product features simultaneously. Analytical & Data-Driven: Strong analytical skills with a focus on leveraging data, performance metrics, and customer feedback to inform product decisions. Ability to translate complex data into actionable insights. Customer-Centric: Experience in working directly with customers to understand their needs, pain points, and feedback. A customer-first mindset with a focus on building products that provide measurable value. Excellent Communication Skills: Exceptional communication, presentation, and interpersonal skills, with the ability to engage and influence both technical teams and business stakeholders across different geographies. Industry Knowledge: Familiarity with MADTECH.AI platforms and technologies. Understanding of customer journey analytics, predictive analytics, and decision intelligence platforms like MADTECH.AI™ is a plus. Cloud & SaaS Architecture: Familiarity with cloud-based solutions and large-scale SaaS architecture. Understanding of how AI and BI features integrate with cloud infrastructure is beneficial. Experience with AI-powered decision intelligence platforms like MADTECH.AI™ or similar MarTech, AdTech, or DataTech tools. In-depth knowledge of cloud technologies, including AWS, Azure, or Google Cloud, and their integration with SaaS platforms. Exposure to customer journey analytics, predictive analytics, and other advanced AI/BI tools. Willingness to work from Mysore/Bangalore or travel to Mysore as per business requirement. Show more Show less

Key Responsibilities Develop and maintain web applications using Python, Django, and Flask Write clean, efficient, and reusable code Design and implement RESTful APIs Assess a given problem can be addressed using advanced data analytics and/or various ML techniques Work on ideas for data collection Clean & structure the data by applying feature-engineering techniques Train models for designing, developing, and implementing POCs Requirements Should be willing to work as an individual contributor when necessary Extensive programming experience in Python Familiar with various machine learning techniques and libraries. Strong preference for programming experience in Numpy, Pandas, and Matplotlib libraries Knowledge of basic statistical methods Random Forest, Linear Regression, Logistic Regression, and other such methods About Company: We are data analytics, IoT and digital services provider with offices in Bangalore and Pune. We are passionate about applying technology for better business decisions. Show more Show less

Job Title: Data Scientist – OpenCV Experience: 2–3 Years Location: Bangalore Notice Period: Immediate Joiners Only Job Overview We are looking for a passionate and driven Data Scientist with a strong foundation in computer vision, image processing, and OpenCV. This role is ideal for professionals with 2–3 years of experience who are excited about working on real-world visual data problems and eager to contribute to impactful projects in a collaborative environment. Key Responsibilities Develop and implement computer vision solutions using OpenCV and Python. Work on tasks including object detection, recognition, tracking, and image/video enhancement. Clean, preprocess, and analyze large image and video datasets to extract actionable insights. Collaborate with senior data scientists and engineers to deploy models into production pipelines. Contribute to research and proof-of-concept projects in the field of computer vision and machine learning. Prepare clear documentation for models, experiments, and technical processes. Required Skills Proficient in OpenCV and image/video processing techniques. Strong coding skills in Python, with familiarity in libraries such as NumPy, Pandas, Matplotlib. Solid understanding of basic machine learning and deep learning concepts. Hands-on experience with Jupyter Notebooks; exposure to TensorFlow or PyTorch is a plus. Excellent analytical, problem-solving, and debugging skills. Effective communication and collaboration abilities. Preferred Qualifications Bachelor’s degree in computer science, Data Science, Electrical Engineering, or a related field. Practical exposure through internships or academic projects in computer vision or image analysis. Familiarity with cloud platforms (AWS, GCP, Azure) is an added advantage. What We Offer A dynamic and innovation-driven work culture. Guidance and mentorship from experienced data science professionals. The chance to work on impactful, cutting-edge projects in computer vision. Competitive compensation and employee benefits. Show more Show less

Key Responsibilities Develop and maintain web applications using Python, Django, and Flask Write clean, efficient, and reusable code Design and implement RESTful APIs Assess a given problem can be addressed using advanced data analytics and/or various ML techniques Work on ideas for data collection Clean & structure the data by applying feature-engineering techniques Train models for designing, developing, and implementing POCs Requirements Should be willing to work as an individual contributor when necessary Extensive programming experience in Python Familiar with various machine learning techniques and libraries. Strong preference for programming experience in Numpy, Pandas, and Matplotlib libraries Knowledge of basic statistical methods Random Forest, Linear Regression, Logistic Regression, and other such methods About Company: We are data analytics, IoT and digital services provider with offices in Bangalore and Pune. We are passionate about applying technology for better business decisions. Show more Show less

Job Title - S&C Global Network - AI – CMT - ML Architecture – Specialist Management Level: 9-Team Lead/Consultant Location: Bengaluru, BDC7C Must-have skills: Machine Learning Architecture Design Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary: This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHAT’S IN IT FOR YOU? Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. You'll work with Accenture’s highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. You’ll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What You Would Do In This Role ML Maturity Assessment: Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. ML Ops Roadmap & Processes: Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Incubating and Designing: Proactively identify opportunities for ML and / or Gen AI applications within the organization. Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements. Technical Leadership: Provide technical leadership and mentorship to data scientists, engineers, and other team members. Collaborate with stakeholders to ensure alignment between technical solutions and business objectives. Collaboration and Communication: Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements. Effectively communicate complex technical concepts to non-technical audiences. Professional & Technical Skills: Relevant experience in the required domain. Strong analytical, problem-solving, and communication skills. Ability to work in a fast-paced, dynamic environment. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus. Proficiency in deep learning frameworks such as TensorFlow and PyTorch. Good knowledge of ML Ops best practices and processes. Excellent problem-solving skills and ability to design scalable and reliable ML architectures. Strong leadership and communication skills, with a track record of leading successful ML initiatives. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques: TensorFlow, PyTorch, Scikit-learn, Keras NumPy, Pandas Matplotlib, Seaborn TensorFlow Serving, Docker and Kubernetes Good software engineering practices, including code modularization, documentation, and testing. Experience with open API , Integration architecture , microservices Additional Information: Opportunity to work on innovative projects. Career growth and leadership exposure. About Our Company | Accenture Experience: 8-10Years Educational Qualification: Any Degree Show more Show less

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Job Description Strong working experience in python based Django,Flask framework. Experience in developing microservices based design and architecture. Strong programming knowledge in Javascript,HTML5, Python, Restful API, gRPC API Programming experience & object-oriented concepts in PYTHON. Knowledge of python libraries like Numpy, Pandas, Ppen3D, OpenCV, Matplotlib. Knowledge of MySQL/Postgres/MSSQL database. Knowledge of 3D geometry. Knowledge of SSO/OpenID Connect/OAuth authentication protocols. Working experience with version control systems like GitHub/BitBucket/GitLab. Familiarity with continuous integration and continuous deployment (CI/CD) pipelines. Basic knowledge of image processing. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Job Description - Grade Specific Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Show more Show less

Financial Analysts and Advisors (Vet Existing Resources) Collect market and company data, build/maintain financial models, craft decks, track portfolios, run risk and scenario analyses, develop client recommendations, and manage CRM workflows. Commercial Software ‑ Bloomberg Terminal, Refinitiv Eikon, FactSet, Excel, PowerPoint, Salesforce FSC, Redtail, Wealthbox, Orion Advisor Tech, Morningstar Office, BlackRock Aladdin, Riskalyze, Tolerisk, eMoney Advisor, MoneyGuidePro, Tableau, Power BI. Open / Free Software ‑ LibreOffice Calc, Google Sheets, Python (Pandas, yfinance, NumPy, SciPy, Matplotlib), R (QuantLib, tidyverse), SuiteCRM, EspoCRM, Plotly Dash, Streamlit, Portfolio Performance, Ghostfolio, Yahoo Finance API, Alpha Vantage, IEX Cloud (free tier). Show more Show less

Job Description Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 5- 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Good To Have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your role Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus. Unsupervised learning Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. NLP Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications. Graph Analytics Familiarity with Graph Algorithms (Directed & Undirected) Traversal (BFS, DFS), Cycle Detection (Bellman Ford, Flyod Warshall), Shortest Path (Dijkstra, A*) etc. Building Knowledge Graphs with unstructured data and knowledge graph optimizations like PageRank/TrustRank is expected Mathematical Optimization Familiarity with common optimization algorithms, both discrete Linear, Mixed-Integer, Goal, Dynamic etc and continuous GD and its variants, Newtons method etc. is expected. Experience with Simulated Annealing and exposure to ML inspired evolutionary optimization algorithms like Genetic Algorithm & Genetic Programming for optimization is a plus. Simulations Monte Carlo Simulation, Discrete-Event Simulation, Agent-Based Simulation, Hybrid Simulation, System Dynamics, Genetic Algorithm based Simulation. Model Deployment ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud. Your Profile Programming Languages Python NumPy, SciPy, Pandas, MatPlotLib, Seaborne Databases RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.) ML/DL Frameworks SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O Cloud Azure/AWS/GCP Experienced in Agile way of working, manage team effort and track through JIRA Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum. Experience in POC, MVP, PoV and assets creations with innovative use cases Experience working in a consulting environment is highly desirable. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

REF69967Q_2025151745 - Deputy Manager - Operations - Data science Roles & Responsibilities: Data Analysis: Analyse large datasets to extract meaningful insights and trends Model Development: Develop and implement predictive models and machine learning algorithms to solve business problems Data Cleaning: Ensure data quality by cleaning and pre-processing data Visualization: Create visualizations to present data insights using tools like Power BI or Python libraries (eg, Matplotlib, Seaborn) Collaboration: Work closely with data engineers, software developers, and business stakeholders to understand requirements and deliver solutions Reporting: Generate automated reports and dashboards to provide actionable insights Research: Stay updated with the latest trends and technologies in data science and machine learning Technical Skills Required: Programming Languages: Proficiency in Python and SQL Machine Learning: Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch Data Visualization: Skills in data visualization tools like Power BI, Matplotlib, Seaborn, or Plotly Statistical Analysis: Strong understanding of statistical methods and techniques Data Wrangling: Expertise in data wrangling and pre-processing using libraries like Pandas and NumPy Platforms like Power BI, Power Automate, Apps are good to have

Dear Associate Greetings from TATA Consultancy Services!! Thank you for expressing your interest in exploring a career possibility with the TCS Family. We have a job opportunity for at Tata Consultancy Services at 14th June 2025. Hiring For : AWS Data Scientist Mandatory Skills: Python AI ML, MlOPs, Spark, Hadoop,PyTorch, TensorFlow,Matplotlib, Seaborn, Tableau, Power BI,scikit-learn, TensorFlow, XGBoost,AWS,Azure , AWS, Databricks,Pyspark, Python,SQL, Snowflake Walk in Location: Pune Experience : 5-15 years Mode of interview: in-person walk in drive Date of interview: 14 June 2025 Venue : Zone 3 Auditorium, Tata Consultancy Services, Sahyadri Park, Rajiv Gandhi Infotech Park, Hinjewadi Phase 3, Pune – 411057 If you are interested in this exciting opportunity, Please share your updated resume on jeena.james1@tcs.com along with the additional information mentioned below: Name: Preferred Location: Contact No: Email id: Highest Qualification: Current Organization Total Experience: Relevant Experience in Data Scientist: Current CTC: Expected CTC: Notice Period: Gap Duration: Gap Details: Attended interview with TCS in past(details): Please share your I begin portal EP id if already registered: Willing to attend walk in on 14th June: (Yes/No) Note: only Eligible candidates with Relevant experience will be contacted further Thanks & Regards, Jeena James, Website: http://www.tcs.com Email: jeena.james1@tcs.com Human Resource - Talent Acquisition Group, Tata Consultancy Services Show more Show less

About the team: The AI Core team is a small and nimble team focused on AI innovation, experimental modelling, and scientific validation. Its mission is to build highly efficient, adaptable and efficacious large models for multiple general-purpose applications in chemical metrology. To stay aligned with the mission, the team follows advancements in AI, including next-generation deep learning architectures, autonomous agents, large-scale optimization algorithms, reinforcement learning methodologies, and innovative data simulation techniques. Senior Data Scientist The Senior Data Scientist plays a critical role in the AI Core team by guiding at every stage of the AI research with data-driven insights and substantiating the success/failure of these stages. Responsibilities: Perform exploratory data analysis (EDA) on spectral datasets to identify patterns, trends, and anomalies. Rapid prototyping to test out multiple hypotheses across large-scale historical datasets Develop statistical and machine learning models to complement deep learning approaches. Validate model outputs against domain knowledge or computational (non-ML) spectral analysis - Generate visualizations and reports for internal validation. Apply learnings from data patterns to innovatively generate simulated data Skills: Strong background in statistics, machine learning, and data visualization. Experience with time-series data Rapid prototyping skills, hypothesis generation and testing Mathematical foundations (optimization, linear algebra, probabilistic modelling) Technical proficiency in some of these: Python, SQL, Pandas, Matplotlib/Plotly, Jupyter and Excel Experience with physics simulators (PyBullet, Gazebo) and synthetic data generation (Blender, NVIDIA Omniverse). Passion: Discovering patterns and creativity in analyzing data Qualifications: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related technical field. 8+ years of experience in data analysis, statistical modelling, or related roles. Prior roles within AI research teams Background in chemometrics, spectroscopy, or analytical chemistry, desirable Advantage: Modelling anomaly detection, noise, baselines, and artifacts in any domain. About Picarro: We are the world's leader in timely, trusted, and actionable data using enhanced optical spectroscopy. Our solutions are used in a wide variety of applications, including natural gas leak detection, ethylene oxide emissions monitoring, semiconductor fabrication, pharmaceutical, petrochemical, atmospheric science, air quality, greenhouse gas measurements, food safety, hydrology, ecology, and more. Our software and hardware are designed and manufactured in Santa Clara, California and are used in over 90 countries worldwide based on over 65 patents related to cavity ring-down spectroscopy (CRDS) technology and are unparalleled in their precision, ease of use, and reliability. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, nor on the basis of disability. Posted positions are not open to third party recruiters/agencies and unsolicited resume submissions will be considered free referrals. If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Picarro, Inc. at disabilityassistance@picarro.com for assistance. Show more Show less

Your Job As a Data Analyst in Molex’s Copper Solutions Business Unit software solution group, you will be to extracting actionable insights from large and complex manufacturing datasets, identifying trends, optimizing production processes, improving operational efficiency, minimizing downtime, and enhancing overall product quality. You will be collaborating closely with cross-functional teams to ensure the effective use of data in driving continuous improvement and achieving business objectives within the manufacturing environment. Our Team Molex’s Copper Solutions Business Unit (CSBU) is a global team that works together to deliver exceptional products to worldwide telecommunication and data center customers. SSG under CSBU is one of the most highly technically advanced software solution group within Molex. Our group leverages software expertise to enhance the concept, design, manufacturing, and support of high-speed electrical interconnects. What You Will Do Collect, clean, and transform data from various sources to support analysis and decision-making processes. Conduct thorough data analysis using Python to uncover trends, patterns, and insights. Create & maintain reports based on business needs. Prepare comprehensive reports that detail analytical processes and outcomes. Develop and maintain visualizations/dashboards. Collaborate with cross-functional teams to understand data needs and deliver actionable insights. Perform ad hoc analysis to support business decisions. Write efficient and optimized SQL queries to extract, manipulate, and analyze data from various databases. Identify gaps and inefficiencies in current reporting processes and implement improvements and new solutions. Ensure data quality and integrity across all reports and tools. Who You Are (Basic Qualifications) B.E./B.Tech Degree in Computer Science Engineering, Information Science, Data Science or related discipline. 3-5 years of progressive data analysis experience with Python (pandas, numpy, matplotlib, OpenPyXL, SciPy , Statsmodels, Seaborn). What Will Put You Ahead Experience with Power BI, Tableau, or similar tools for creating interactive dashboards and reports tailored for manufacturing operations. Experience with predictive analytics e.g. machine learning models (e.g., using Scikit-learn) to predict failures, optimize production, or forecast demand. Experience with big data tools like Hadoop, Apache Kafka, or cloud platforms (e.g., AWS, Azure) for managing and analyzing large-scale data. Knowledge on A/B testing & forecasting. Familiarity with typical manufacturing data (e.g., machine performance metrics, production line data, quality control metrics). At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy. Who We Are {Insert company language from Company Boilerplate Language Guide} At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company. Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results. Show more Show less

TCS is conducting Virtual drive on Friday dated 11th June, 2025 Position: AI Engineer Location: Pune Years of Experience: 5-9 yrs(Accurate) Notice Period: Immediate Joiners or 0-30 days NP (Note: Candidates sharing details below experience range will not be considered) Responsibilities: Strong understanding of machine learning techniques, including deep learning, reinforcement learning, and predictive modeling. Demonstrable experience in AI, ML, NLP, or related fields, with a robust portfolio showcasing practical application of these technologies. Proficient in Python and familiar with frameworks for AI development, such as TensorFlow, PyTorch, Keras, scikit-learn, NLTK, Lang chain. Experience in utilizing Python libraries such as NumPy, Pandas, Matplotlib, Plotly Proficient in programming languages such as Python Experience with ML, deep learning, TensorFlow, Python, NLP Experience in program leadership, governance, and change enablement Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns Experience in REST API development, NoSQL database design, and RDBMS design and optimizations Familiarity with modern data platforms and cloud services like AWS, Azure for deploying scalable AI solutions. Kindly attach your updated CVs Thanks & Regards Shilpa Silonee Show more Show less

Company Profile: Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com. Job Title: Machine Learning Engineer Position: Senior Systems Engineer Experience: 3-8 years Category: Software Development/ Engineering Shift: 12:30 AM IST to 9:30 PM IST Main location: Bangalore Position ID: J0525-1644 Employment Type: Full Time Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 3 years of relevant experience. Position Description:. Must have skills : Must have experience in Programming Language (Python, R). Machine learning frameworks: scikit-learn, TensorFlow, PyTorch, or Keras. NLP Libraries : NLTK, spaCy, or Stanford CoreNLP. Data analysis and visualization tools: Pandas, NumPy, Matplotlib, or Seaborn. Experience with cloud-based platforms: AWS, Azure, or Google Cloud. Must have 3+ years of relevant experience in machine learning, NLP, or a related field. Experience with automated process development, deployment, and maintenance. Should be familiar with ticketing systems and auditing processes is a plus. Soft Skills : Excellent communication and collaboration skills. Ability to work in a fast-paced environment and adapt to changing requirements. Strong problem-solving skills and attention to detail. Good to have skills : 1. Experience with containerization: Docker, Kubernetes, or other containerization tools. 2. Familiarity with DevOps practices: Agile development, continuous integration, and continuous deployment. 3. Knowledge of IT service management: ITIL, COBIT, or other IT service management frameworks. 4. Certifications: Certified Data Scientist, Certified Machine Learning Engineer, or other relevant certifications. CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs. Life at CGI: It is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons Come join our team, one of the largest IT and business consulting services firms in the world Your future duties and responsibilities Required qualifications to be successful in this role Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

Introduction: SymphonyAI is at the forefront of innovation, leveraging cutting-edge artificial intelligence and machine learning technologies to transform industries and drive business growth. As a global leader in AI-powered solutions, we empower organizations to harness the full potential of data-driven insights. SymphonyAI enterprise applications rapidly deliver transformative business value across retail, CPG, financial services, manufacturing, media, Enterprise IT (SymphonyAI Summit) and the public sector. SymphonyAI combines unrivalled AI technology, vertical expertise and industry-specific data and insights into applications that drive the highest value for customers. We are one of the largest and fastest growing AI portfolios. Job Description: We're seeking a skilled individual proficient in Python with strong analytical and problem-solving skills Key Responsibilities: Assist in collecting, cleaning, and processing data from various sources to support data-driven decision-making. Work with senior data scientists to develop, test, and validate machine learning models. Conduct literature reviews and stay updated on the latest trends and advancements in data science and AI. Create and maintain dashboards and reports to effectively communicate findings to stakeholders. Work collaboratively with cross-functional teams to understand business requirements and deliver appropriate data solutions. Maintain thorough documentation of methodologies, processes, and project progress. Qualifications: Recently completed a degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Basic understanding of programming languages such as Python or R. Familiarity with data analysis tools and libraries (e.g., Pandas, NumPy, Scikit-learn). Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus. Strong analytical and problem-solving skills. A passion for data science and a keen interest in learning new tools and technologies. Good oral and written communication skills to effectively convey ideas and results. Ability to work well in a collaborative team environment. About Us: At SymphonyAI, we are building the leading AI SaaS company for enterprise transformation across the most critical industry sectors. We provide focused AI applications designed to rapidly solve challenging business problems and deliver breakthrough insights, increasing operational efficiencies and growing revenue for customers. We are on a mission to build a “World Class Engineering Team” with a high-performance culture. Over 3000 talented leaders, data scientists, and other professionals incubate and build SymphonyAI Group solutions

As a Data Scientist, you will be part of a high performing team working on exciting opportunities in AI/ML within Ford Credit. We are looking for a seasoned Data Scientist with proven expertise in implementing Machine Learning/Optimization solutions with familiarity in Generative AI and a good grasp of Statistics. Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Professional Qualification: Potential candidates should possess 3 to 7 years of working experience as a Data Scientist. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on with analytics methods (descriptive/predictive/prescriptive), Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Computer Science with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Ability to scope the problem statement, data preparation, training and making the AI/ML model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Collaborate with data engineers, solutions architects, application engineers, and product teams across time zones to develop data and model pipelines

Job Description: Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 5- 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities: Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills: Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day.

Job Title: Optimization Scientist – Route & Inventory Optimization (OR & RL) Location: Hyderabad (On-site) Experience Required: 1+ year Company Overview: We are a leading AI-driven supply chain solutions company focused on transforming retail, FMCG, and logistics through cutting-edge technologies in machine learning, operations research, and reinforcement learning. Our mission is to build intelligent systems that enhance decision-making and automate processes across forecasting, inventory, and transportation. Internship Overview: We are seeking a passionate and motivated AI/ML Intern to support the development of intelligent optimization systems for route planning and inventory allocation. You will work alongside experienced scientists and engineers, gaining hands-on experience in applying machine learning, reinforcement learning, and operations research to real-world logistics challenges. Key Responsibilities: 🔹 Assist in Route Optimization Projects: Support in modeling and solving simplified versions of Vehicle Routing Problems (VRP) under guidance. Work with Python libraries like Pyomo or OR-Tools to prototype optimization solutions. Explore reinforcement learning methods (e.g., DQN, PPO) for dynamic routing decisions under uncertainty. 🔹 Support Inventory Optimization Efforts: Learn to model multi-echelon inventory systems using basic OR and simulation techniques. Analyze historical data to understand stock levels, service times, and demand variability. Help design experiments to evaluate replenishment strategies and stocking policies. 🔹 Contribute to AI-Driven Decision Systems: Assist in integrating ML forecasting models with optimization pipelines. Participate in the development or testing of simulation environments for training RL agents. Collaborate with the team to evaluate model performance using historical or synthetic datasets. Required Qualifications: Currently pursuing or recently completed a degree in Computer Science, Data Science, Operations Research, Industrial Engineering, or related field. Good understanding of Python and key libraries (NumPy, Pandas, Matplotlib, Scikit-learn). Familiarity with basic optimization concepts (LP/MILP) and libraries like OR-Tools or Gurobi (student license). Basic knowledge of reinforcement learning frameworks (OpenAI Gym, Stable-Baselines3) is a plus. Strong problem-solving skills and willingness to learn advanced AI/OR techniques. What You’ll Gain: Hands-on exposure to real-world AI and optimization use cases in logistics and supply chain. Mentorship from experienced scientists in OR, ML, and RL. Experience working in a fast-paced, applied research environment. Opportunity to convert to a full-time role based on performance and business needs. About WINIT: WINIT is a pioneer in mobile Sales Force Automation (mSFA) with over 25 years of experience. We serve more than 600 global enterprises, helping them enhance efficiency, streamline logistics, and leverage AI/ML to optimize sales operations. With a commitment to innovation and global support, WINIT continues to lead digital transformation in sales. Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You Will Be Doing... The Commercial Data & Analytics - Impact Analytics team is part of the Verizon Global Services (VGS) organization.The Impact Analytics team addresses high-impact, analytically driven projects focused within three core pillars: Customer Experience, Pricing & Monetization, Network & Sustainability. In this role, you will analyze large data sets to draw insights and solutions to help drive actionable business decisions. You will also apply advanced analytical techniques and algorithms to help us solve some of Verizon’s most pressing challenges. Use your analysis of large structured and unstructured datasets to draw meaningful and actionable insights Envision and test for corner cases. Build analytical solutions and models by manipulating large data sets and integrating diverse data sources Present the results and recommendations of statistical modeling and data analysis to management and other stakeholders Identify data sources and apply your knowledge of data structures, organization, transformation, and aggregation techniques to prepare data for in-depth analysis Deeply understand business requirements and translate them into well-defined analytical problems, identifying the most appropriate statistical techniques to deliver impactful solutions. Assist in building data views from disparate data sources which powers insights and business cases Apply statistical modeling techniques / ML to data and perform root cause analysis and forecasting Develop and implement rigorous frameworks for effective base management. Collaborate with cross-functional teams to discover the most appropriate data sources, fields which caters to the business need Design modular, reusable Python scripts to automate data processing Clearly and effectively communicate complex statistical concepts and model results to both technical and non-technical audiences, translating your findings into actionable insights for stakeholders. What We’re Looking For... You have strong analytical skills, and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and cross functional teams to implement data science driven business solutions. You Will Need To Have Bachelor’s degree in computer science or another technical field or four or more years of work experience Four or more years of relevant work experience Proficiency in SQL, including writing queries for reporting, analysis and extraction of data from big data systems (Google Cloud Platform, Teradata, Spark, Splunk etc) Curiosity to dive deep into data inconsistencies and perform root cause analysis Programming experience in Python (Pandas, NumPy, Scipy and Scikit-Learn) Experience with Visualization tools matplotlib, seaborn, tableau, grafana etc A deep understanding of various machine learning algorithms and techniques, including supervised and unsupervised learning Understanding of time series modeling and forecasting techniques Even better if you have one or more of the following: Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and deploying machine learning models at scale using platforms like Domino Data Lab or Vertex AI Experience in applying statistical ideas and methods to data sets to answer business problems. Ability to collaborate effectively across teams for data discovery and validation Experience in deep learning, recommendation systems, conversational systems, information retrieval, computer vision Expertise in advanced statistical modeling techniques, such as Bayesian inference or causal inference. Excellent interpersonal, verbal and written communication skills. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less