574 Plotly Jobs - Page 2

• Total experience 5+ years • Working experience in Python • Experience with data visualization • working experience of DS stack packages • Experience working with GCP/AWS cloud services • Hands-on experience deploying ML solutions

Role: API Tester Location: Pune/Nagpur, Maharashtra (Office Location) Experience: 10+ years Duration: Full Time Working Hours: UK time shift Notice Period : Immediate or 30 Days Must Have Skills: Load Testing/Performance Testing & Load Runner & FAST API & Python . Job Description: Skill Set Must Have Python Programming Experience with FAST API Caching mechanism (Redis and in-memory) Swagger UI (To check API endpoints and facilitate exchange with the frontend) Experience with developing and testing high performing APIs that meets business SLAs Azure experience (Hosting and deployment) Familiarity with CI/CD implementation, GIT, Bitbucket Experience optimizing APIs for improved performance Technically familiar with the stack to recommend infrastructure improvements Desirable Skills Experience with Plotly library structure (For pictorial presentation of the data) Experience with Databricks/Database and schema knowledge Soft Skills Solid communications skills Negotiation skills with the highly technical SMEs

Artificial Intelligence Advancement Center is looking for professionals experienced in NLP/LLM/GenAI, who are hands-on and can employ many NLP/Prompt engineering techniques from traditional statistical/ML NLP to DL-based sequence models and transformers in their day-to-day work. Description: You'll be working alongside leading technical experts from all around the world, on a variety of products involving Sequence/token classification, QA/chatbots, translation, semantic/search and summarization, among others. Responsibilities: Design NLP/LLM/GenAI applications/products by following robust coding practices, Explore SoTA models/techniques so that they can be applied for automotive industry usecases Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions, Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools. Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,) Converge multibots into super apps using LLMs with multimodalities. Develop agentic workflow using Autogen, Agentbuilder, langgraph Build modular AI/ML products that could be consumed at scale. Qualifications: Education : Bachelor’s or master’s degree in computer science, Engineering, Maths or Science Performed any modern NLP/LLM courses/open competitions is also welcomed. Technical Requirements : Soft Skills : Strong communication skills and do excellent teamwork through Git/slack/email/call with multiple team members across geographies. GenAI Skills : Experience in LLM models like PaLM, GPT4, Mistral (open-source models), Work through the complete lifecycle of Gen AI model development, from training and testing to deployment and performance monitoring. Developing and maintaining AI pipelines with multimodalities like text, image, audio etc. Have implemented in real-world Chat bots or conversational agents at scale handling different data sources. Experience in developing Image generation/translation tools using any of the latent diffusion models like stable diffusion, Instruct pix2pix. Expertise in handling large scale structured and unstructured data. Efficiently handled large-scale generative AI datasets and outputs. ML/DL Skills : High familiarity in the use of DL theory/practices in NLP applications Comfort level to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others NLP Skills : Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,) Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment. Python Project Management Skills Familiarity in the use of Docker tools, pipenv/conda/poetry env Comfort level in following Python project management best practices (use of setup.py, logging, pytests, relative module imports,sphinx docs,etc.,) Familiarity in use of Github (clone, fetch, pull/push,raising issues and PR, etc.,) Cloud Skills and Computing : Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI, Good working knowledge on other open-source packages to benchmark and derive summary. Experience in using GPU/CPU of cloud and on-prem infrastructures. Skillset to leverage cloud platform for Data Engineering, Big Data and ML needs. Deployment Skills : Use of Dockers (experience in experimental docker features, docker-compose, etc.,) Familiarity with orchestration tools such as airflow, Kubeflow Experience in CI/CD, infrastructure as code tools like terraform etc. Kubernetes or any other containerization tool with experience in Helm, Argoworkflow, etc., Ability to develop APIs with compliance, ethical, secure and safe AI tools. UI : Good UI skills to visualize and build better applications using Gradio, Dash, Streamlit, React, Django, etc., Deeper understanding of javascript, css, angular, html, etc., is a plus. Miscellaneous Skills : Data Engineering: Skillsets to perform distributed computing (specifically parallelism and scalability in Data Processing, Modeling and Inferencing through Spark, Dask, RapidsAI or RapidscuDF) Ability to build python-based APIs (e.g.: use of FastAPIs/ Flask/ Django for APIs) Experience in Elastic Search and Apache Solr is a plus, vector databases. If interested, please share update CV with Comp details and NP and Current location along with exp in below skills NLP/LLM/GenAI applications/products SoTA models/techniques Experience in LLM models like PaLM, GPT4, Mistral (open-source models) ML/DL Skills NLP Skills GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI

POSITION SUMMARY Zoetis, Inc. is the world's largest producer of medicine and vaccinations for pets and livestock. Join us at Zoetis India Capability Center (ZICC) in Hyderabad, where innovation meets excellence. As part of the world's leading animal healthcare company, ZICC is at the forefront of driving transformative advancements and applying technology to solve the most complex problems. Our mission is to ensure sustainable growth and maintain a competitive edge for Zoetis globally by leveraging the exceptional talent in India. At ZICC, you'll be part of a dynamic team that partners with colleagues worldwide, embodying the true spirit of One Zoetis. Together, we ensure seamless integration and collaboration, fostering an environment where your contributions can make a real impact. Be a part of our journey to pioneer innovation and drive the future of animal healthcare. As an Full Stack Engineer, you will design, build, and optimize AI-driven applications using Large Language Models (LLMs), retrieval-augmented generation (RAG), and integration with enterprise systems. You will work closely with data scientists, product managers, and other engineers to transform ideas into scalable solutions. Your contributions will shape how Zoetis leverages AI to improve animal healthcare worldwide. Responsibilities: * Front-end & back-end development: o Design and implement user interfaces using react and other front-end technologies. o Develop server-side logic using node.js, python and other languages. § Ensure Responsive design. § Optimize applications for maximum speed and scalability. § Manage SQL interactions. § Integrate components seamlessly. * Problem-Solving and Attention to Detail: o Demonstrate excellent problem-solving abilities and attention to detail. o Identify and resolve issues promptly within SLA guidelines, providing ongoing support to business users. * Deployment and Maintenance: o Deploy applications to production environments. o Monitor and maintain applications post-deployment. o Implement updates and improvements based on user feedback. * Collaboration: o Work closely with designers, product managers, and other developers. o Participate in code reviews and provide constructive feedback. o Communicate effectively to ensure project alignment and progress. * Continuous Learning: o Stay updated with the latest technologies and industry trends. o Continuously improve skills and knowledge through training and practice. o Experiment with new tools and frameworks to enhance development processes. POSITION RESPONSIBILITIES Percent of Time: Design, develop, and deploy AI-powered custom agents, integrating front-end UI and back-end AI pipelines 50% Implement, fine-tune, and maintain LLM-based solutions using APIs and custom architectures 20% Collaborate across teams, conduct code reviews, and continuously explore new AI tools, frameworks, and methods 20% Monitor and optimize AI agent performance, ensuring security, compliance, and scalability 10% ORGANIZATIONAL RELATIONSHIPS * Interacting with business stakeholders to gather integration requirements, understand business processes, and ensure that integration solutions align with organizational goals and objectives. * Work with implementation partners who may be responsible for deploying, configuring, or maintaining integrated solutions within Zoetis IT landscape. * Coordinate with developers and other members of the team to implement integration solutions, share knowledge, and address technical challenges. * Work with data scientists to integrate AI models into production-ready services. * Partner with cloud engineers and DevOps teams for deployment and scaling of AI agents. * Coordinate with UX/UI designers to ensure AI tools are intuitive and impactful for end users. EDUCATION AND EXPERIENCE Education: Master's degree in computer science, Artificial Intelligence, or related field. Experience: * 1.5-6.5 years of experience in full-stack engineering with exposure to AI/ML projects. * Strong proficiency in React, Node.js, Python, and back-end frameworks. * Experience working with LLMs (e.g., OpenAI, Anthropic, Hugging Face) and RAG pipelines. * Hands-on experience with vector databases (e.g., Pinecone, Weaviate, FAISS, ChromaDB). * API development and integration skills for AI inference and data services. * CI/CD pipelines and version control with Git. * Familiarity with cloud platforms (AWS, Azure, or GCP) and AI services. TECHNICAL SKILLS REQUIREMENTS * Front-end: React, Next.js, TypeScript. * Back-end: Node.js, Python (FastAPI, Flask), REST/GraphQL APIs. * AI/ML: LLM APIs, LangChain, RAG, Prompt Engineering, Vector Databases. * Databases: PostgreSQL, SQL, NoSQL. * DevOps: CI/CD, Docker, Kubernetes. * Data Visualization: D3.js, Plotly, or similar. PHYSICAL POSITION REQUIREMENTS Regular working hours are from 11 AM to 8:00 PM IST. Sometimes, more overlap with the EST Time zone is required during production go-live. About Zoetis At Zoetis , our purpose is to nurture the world and humankind by advancing care for animals. As a Fortune 500 company and the world leader in animal health, we discover, develop, manufacture and commercialize vaccines, medicines, diagnostics and other technologies for companion animals and livestock. We know our people drive our success. Our award-winning culture, built around our Core Beliefs, focuses on our colleagues' careers, connection and support. We offer competitive healthcare and retirement savings benefits, along with an array of benefits, policies and programs to support employee well-being in every sense, from health and financial wellness to family and lifestyle resources. Global Job Applicant Privacy Notice

Note: We are hiring Y25 Company Max - Budget: 15-20 LPA Total experience: 3+ years Role Overview We are looking for a Senior AI/Data Scientist with 3-5 years of experience who is passionate about building AI and machine learning solutions for real-world business problems. As part of our AI team, you will design, develop and deploy advanced machine learning models, Generative AI applications and AI-powered decision systems. You will work with structured and unstructured data, develop predictive models, AI-driven insights and business-aware Generative AI agents that enhance productivity and decision-making. Key Responsibilities • Build Gen AI-enabled solutions using online and offline LLMs, SLMs and TLMs tailored to domain-specific problems. • Deploy agentic AI workflows and use cases using frameworks like LangGraph, Crew AI etc. • Apply NLP, predictive modelling and optimization techniques to develop scalable machine learning solutions. • Integrate enterprise knowledge bases using Vector Databases and Retrieval Augmented Generation (RAG). • Apply advanced analytics to address complex challenges in Healthcare, BFSI and Manufacturing domains. • Deliver embedded analytics within business systems to drive real-time operational insights. Required Skills & Experience • 3–5 years of experience in applied Data Science or AI roles. • Experience working in any one of the following domains: BFSI, Healthcare/Health Sciences, Manufacturing or Utilities. • Proficiency in Python, with hands-on experience in libraries such as scikit-learn, TensorFlow • Practical experience with Gen AI (LLMs, RAG, vector databases), NLP and building scalable ML solutions. • Experience with time series forecasting, A/B testing, Bayesian methods and hypothesis testing. • Strong skills in working with structured and unstructured data, including advanced feature engineering. • Familiarity with analytics maturity models and the development of Analytics Centre of Excellence (CoE’s). • Exposure to cloud-based ML platforms like Azure ML, AWS SageMaker or Google Vertex AI. • Data visualization using Matplotlib, Seaborn, Plotly; experience with Power BI is a plus. What We Look for (Values & Behaviours) • AI-First Thinking – Passion for leveraging AI to solve business problems. • Data-Driven Mindset – Ability to extract meaningful insights from complex data. • Collaboration & Agility – Comfortable working in cross-functional teams with a fast-paced mindset. • Problem-Solving – Think beyond the obvious to unlock AI-driven opportunities. • Business Impact – Focus on measurable outcomes and real-world adoption of AI. • Continuous Learning – Stay updated with the latest AI trends, research and best practices. Why Join Us? • Work on cutting-edge AI & GenAI projects. • Be part of a high-Caliber AI team solving complex business challenges. • Exposure to global enterprises and AI-driven decision-making. • Competitive compensation and fast-track career growth in AI. • Get mentored by best-in-class AI leaders who will help shape you into a top AI professional

Enphase Energy is a global energy technology company and a leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, their innovative microinverter technology revolutionized solar power, making it a safer, more reliable, and scalable energy source. The Enphase Energy System enables users to make, use, save, and sell their own power. With over 80 million products shipped across 160 countries, Enphase is recognized as one of the most successful and innovative clean energy companies worldwide. Join the dynamic teams at Enphase Energy that are dedicated to designing and developing next-generation energy technologies to help drive a sustainable future. The Staff Data Analyst role at Enphase Energy involves analyzing and interpreting product quality data throughout the entire product lifecycle. The role entails providing essential support for data management activities within the Quality organization and collaborating with Engineering/CS teams and Information Technology. Responsibilities: - Function as a resource to departments and process improvement teams in quality data management - Identify opportunities for leveraging company data to drive product/process improvements - Collaborate with cross-functional teams to understand their needs and run queries to support their analyses - Develop a deep understanding of the dataset and perform detailed analysis - Run SQL/R/Python queries on various databases to identify patterns and diagnose problems - Identify opportunities for automation, monitoring, and visualization using automated tools Qualifications: - BE/B.Tech degree or higher in Engineering or Computer Science - Minimum of 8 years of experience in data science - Proficiency in programming/query languages such as Python (Matplotlib, Plotly libraries), R, and SQL - Design, develop, and implement data-driven strategies and machine learning models - Ability to understand various data structures and common data transformation methods - Expertise in delivering analysis results using customized visualizations - Strong verbal and written communication skills to interpret and summarize presentations for executives Join Enphase Energy's team of talented individuals and contribute to shaping the future of sustainable energy solutions.,

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities: -Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. -Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. -Optimizing existing generative AI models for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. -Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. -Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers -Experience working with cloud based platforms (example: AWS, Azure or related) -Strong problem-solving and analytical skills -Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI -Prior statistical modelling experience -Demonstrable experience with deep learning algorithms and neural networks -Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. -Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. -Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. -Must have strong knowledge of data structures, algorithms, and software engineering principles. -Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. -Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. -Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. -Need to have knowledge of software development methodologies, such as Agile or Scrum. -Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information: -Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. -strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. -You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment., 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities: -Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. -Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. -Optimizing existing generative AI models for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. -Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. -Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers -Experience working with cloud based platforms (example: AWS, Azure or related) -Strong problem-solving and analytical skills -Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI -Prior statistical modelling experience -Demonstrable experience with deep learning algorithms and neural networks -Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. -Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. -Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. -Must have strong knowledge of data structures, algorithms, and software engineering principles. -Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. -Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. -Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. -Need to have knowledge of software development methodologies, such as Agile or Scrum. -Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information: -Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. -strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. -You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment., 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities: -Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. -Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. -Optimizing existing generative AI models for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. -Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. -Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers -Experience working with cloud based platforms (example: AWS, Azure or related) -Strong problem-solving and analytical skills -Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI -Prior statistical modelling experience -Demonstrable experience with deep learning algorithms and neural networks -Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. -Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. -Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. -Must have strong knowledge of data structures, algorithms, and software engineering principles. -Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. -Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. -Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. -Need to have knowledge of software development methodologies, such as Agile or Scrum. -Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information: -Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. -strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. -You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment., 15 years full time education

BhaiFi Networks Private Limited is a leading provider of AI-powered cybersecurity solutions, designed to safeguard businesses - especially small and medium-sized enterprises (SMEs) - against evolving digital threats. Founded in 2017, our mission is to democratize cybersecurity by making enterprise-grade protection accessible and easy to use for businesses of all sizes, even those with lean or non-technical teams. We offer two flagship products: BhaiFi – AI-Powered Guest WiFi : https://bhaifi.ai FirewallX – An AI-First Network Security and Management Platform: https://firewallx.ai With features like advanced firewall protection, intrusion detection, secure VPN, real-time threat intelligence, and more, we help our customers secure their networks with ease. We’re a lean, high-impact team redefining how modern cybersecurity is built. Requirements Key Responsibilities: Lead the development and implementation of machine learning models for network security applications Oversee data analysis processes and create advanced visualizations to communicate insights Guide model selection, training, and validation procedures Develop algorithms for real-time forecasting and predictions Manage project timelines, resources, and deliverables Collaborate with and mentor the Data Engineer and ML/LLM Developer Communicate project progress and results to stakeholders Required Skills: Bachelor’s or master’s degree in computer science, Software Engineering, or advanced degree in Computer Science, Statistics, or related field 5-7 years of experience in data science, with at least 2 years in a leadership role Experience in network security or cybersecurity Knowledge of time series analysis and anomaly detection techniques Familiarity with graph analytics and network analysis Expertise in Python and R for data analysis and modelling Proficiency in machine learning libraries (scikit-learn, TensorFlow, PyTorch) Strong knowledge of statistical analysis and probability theory Experience with big data technologies (Hadoop ecosystem, Spark) Proficiency in SQL and NoSQL databases Strong data visualization skills (Matplotlib, Seaborn, Plotly, Tableau) Experience with version control systems (Git) Knowledge of data privacy and security best practices Experience with deep learning models for sequence data Understanding of DevOps practices and CI/CD pipelines Familiarity with containerization technologies (Docker, Kubernetes) Project management experience (Agile methodologies preferred) Benefits Daily Meditation & Weekly Gratitude Practice Comprehensive Health & Wellness Support Business Travel Reimbursement

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Data Scientist Senior Data Scientist (London) Who is Mastercard? As a global technology company our mission at Mastercard is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Our International, Open Banking, Product Value Proposition Team is looking for a Senior Data Scientist to develop and drive forward Mastercard’s ambitious, data-driven open banking solutions, through the skillful application of data science and a highly customer centric focus. The ideal candidate is motivated, intellectually curious, technically excellent, a great communicator and someone who will enjoy helping us build out our data science team and capabilities. Role As an individual contributor working within a growing data science team, you will take responsibility for developing market leading, innovative, analytical open banking solutions. Focused in the first instance on affordability/credit decisioning and identity/income verification use cases, you will help empower consumers and drive value creation across our client base. Specifically In This Position, You Will: In pursuit of highly valued, market leading, solutions and insights, apply a range of problem appropriate data science techniques to large data sets, from development to deployment support. Work closely with data engineers and developers to build and deploy interactive dashboards, providing the best, most engaging insights and UX for our clients. Communicate effectively with clients and stakeholders, ensuring their requirements are fully understood and met. Conduct effective customer trials to grow our open banking impact, supporting data specification, data processing/analysis and result generation/presentation. Be highly proactive in pursuit of product excellence. For example, by investigating/proposing new data sources, encouraging cross team working, managing projects to agreed schedules and looking to utilise new tools and techniques. Help to develop, implement and honour effective, engaging team methods to support rapid prototyping, reproducibility, productivity, automation, and appropriate data governance. Engage with the wider Mastercard data science community, sharing best practice, knowledge, and insights, in support of collaborative, fulfilling work and value creation. All About You To succeed in this role, you will have: An undergraduate degree or higher in Computer Science, Data Science, Econometrics, Mathematics, Statistics, or similar field of study. Multi-project, hands-on experience of the end-to-end data science process in relation to large, complex data. From problem framing to results communication and solution deployment, you will be able to demonstrate having played a key part in a range of successfully delivered projects. Real world experience of developing and deploying interactive dashboards based on Plotly’s Dash framework. Workplace Python coding experience, including a good knowledge of the principal Python Data Science / Machine Learning (ML) library ecosystem. Excellent written and oral communication skills for both technical & non-technical audiences. To Succeed In This Role, You Will Be: A highly engaged individual, evidenced through specific examples of collaboration, effective teamwork, successful independent work, and continued professional development. Additionally, The Ideal Candidate Can Demonstrate: Commercial, experience of successfully utilizing time series and natural language processing (NLP – especially in relation to topic modelling and named entity recognition) methods. A good working knowledge of supervised and un-supervised techniques is presumed. Practical knowledge/experience of solution deployment (data science pipelines, MLOps frameworks and libraries etc.). Experience of working in financial services with respect to consumer and/or business lending. Corporate Security Responsibility Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security. All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And Therefore, It Is Expected That The Successful Candidate For This Position Must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. Corporate Security Responsibility All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And, Therefore, It Is Expected That Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security And Must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

As a Data Analyst , you will play a critical role in unlocking business growth by leveraging data to drive decision-making across ecommerce and retail domains. You’ll work cross-functionally with teams to build scalable data pipelines, interactive dashboards, and actionable insights. This role blends technical expertise with domain knowledge to support performance optimization, campaign analytics, and executive reporting. This is a hands-on, high-impact role for someone with strong Python and SQL skills who thrives in a fast-paced, data-driven environment. Your Responsibilities Business Impact through Insights - Analyze large volumes of ecommerce and retail data to surface trends, identify customer behavior patterns, and uncover business opportunities. Visualization & Storytelling - Build and maintain interactive dashboards using Streamlit, Power BI, or Tableau to communicate insights clearly to internal and external stakeholders. SQL Mastery - Write complex SQL queries using window functions, CTEs, and subqueries for deep data exploration, aggregation, and reporting. ETL & Data Pipelines - Develop robust ETL workflows to ingest, transform, validate, and monitor data from multiple sources, following best practices in automation, error handling, and logging. Collaborative Development - Use Git workflows for version control, ensuring reproducibility and smooth team collaboration. Executive Reporting - Create KPI dashboards and reports tailored for leadership, enabling data-driven decisions across sales, marketing, and operations. Domain Understanding - Apply contextual knowledge of ecommerce and retail—such as customer analytics, conversion metrics, and product-level sales—to frame insights that drive growth. Optional Tech Extensions - Support deployment using GCP, Docker, and FastAPI if needed for API exposure or scalable infrastructure. Skill Sets/Experience We Require Experience - 1–3 years in data analysis, with proven hands-on work in ecommerce/retail and/or other consumer industries and digital first brands. Technical Expertise Python (Pandas, Plotly) – for analysis and visualization Advanced SQL – including joins, window functions, performance tuning, and data modeling Streamlit (preferred) – for building interactive analytical applications Power BI / Tableau – for scalable enterprise dashboarding ETL Workflow Design – including scheduling, validation, and monitoring Data Scale - Comfortable working with moderate to large datasets (100K+ records) Best Practices Champion - Applies version control, modular coding, and testing principles in all data workflows Bonus Skills (Good to Have) Cloud Infrastructure - GCP experience DevOps - CI/CD pipeline integration and Docker API Development - Experience with FastAPI for building data services Soft Skills Analytical thinking and structured problem-solving Strong communication with non-technical stakeholders Ownership mindset and collaborative attitude Why Join WebEngage? High-Impact Role - Shape the success of multiple brands, influence their business KPIs, and contribute directly to WebEngage’s growth through strong client retention. Diverse Industry Exposure - Work with clients from E-Commerce, BFSI, Edtech, Gaming, and more—offering unique challenges and learning opportunities. Tech-Driven Environment - Collaborate with cutting-edge Mar-Tech solutions, leveraging data and automation to drive business impact. Supportive Work Culture - Experience an inclusive, growth-oriented, and flexible workplace that values innovation and collaboration. Perks & Benefits - Learning & Development - Access to mentorship, tools, and knowledge resources to enhance your Martech expertise. Tech Setup - MacBook for all Engagers! Well-being Support - Best-in-class medical insurance, mental health programs, and a contemporary leave policy beyond sick leaves. Growth & Autonomy - A culture that fosters ownership, learning, and work-life balance.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: We are seeking a skilled Python Plotly Dash Dashboard/ Web Application Developer to join our team. The ideal candidate will have a strong background in building interactive web applications using Plotly Dash and be adept at translating business requirements into functional features. This role involves collaborating with cross-functional teams to design, develop, and maintain impactful data visualization tools. Responsibilities: -Design and develop sophisticated dashboards using Plotly Dash. -Collaborate with internal teams and stakeholders to gather and understand requirements.- -Analyze data using Python libraries such as Pandas and NumPy ,Plotly Express etc. -Optimize the performance and scalability of dashboards. -Identify and troubleshoot issues in existing dashboards. -Stay abreast of industry trends and new technologies. Mandatory skill sets: -2 to 6 years of experience in developing dashboards using Plotly Dash. -Strong proficiency in Python programming. -Experience with web technologies, including HTML, CSS, and JavaScript. -Ability to work with databases and extract relevant data. -Understanding of data visualization principles. -Excellent problem-solving skills and attention to detail. -Strong communication skills with the ability to effectively convey technical information to non-technical stakeholders Preferred skill sets: -Familiarity with cloud platforms and services (e.g., AWS, Azure, GCP) is a plus. -Understanding UI/UX design principles. -Familiarity with other data visualization tools. Years of experience required: -4-7 years experience req. Education qualification: -B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Plotly, Python (Programming Language) Optional Skills Microsoft Azure Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Senior Full Stack Data Scientist We are seeking a Senior Full Stack Data Scientist who can own the entire lifecycle of data-driven solutions— from data collection and transformation to model deployment and ongoing maintenance. This role requires deep technical expertise, as well as strong communication and leadership skills, to ensure that analytics initiatives align with business goals and consistently deliver measurable impact. About the Team Our data function is a multidisciplinary group of data scientists, engineers, and analysts working together to produce scalable, high-impact data products. We foster a culture of innovation , collaboration , and continuous learning , using state-of-the-art technologies to tackle real business challenges. Key Responsibilities End-to-End Data Product Ownership Design and manage full-stack data solutions from data ingestion (ETL/ELT) to model deployment and performance monitoring. Work with business stakeholders to define project scopes, translate ambiguous requirements into actionable data science tasks, and deliver results. Advanced Analytics s Machine Learning Develop and implement statistical and ML models (e.g., predictive modeling, classification, clustering, time-series forecasting). Employ advanced ML techniques such as Bayesian methods, reinforcement learning, or metaheuristics, as needed. Integrate data science workflows with analytics platforms (e.g., Spark, Dask) for large-scale or real-time processing. Software Engineering s DevOps Follow OOP principles and design patterns in Python for clean, maintainable code. Set up CI/CD pipelines , containerization (Docker), and orchestration (Kubernetes) to enable robust, automated deployments. Optimize performance and manage cost on cloud platforms (Azure, AWS, or GCP) by structuring resources effectively. Front-End s Visualization Build or enhance user-facing dashboards using frameworks like Streamlit , Plotly Dash , or enterprise solutions (e.g., PowerBI). Present actionable insights in a clear, interactive format that resonates with non-technical audiences. Real-Time s Large-Scale Data Architecture Design pipelines for real-time data streaming (e.g., Kafka, Spark Streaming) where business needs require continuous data updates. Work with data engineers to maintain data lakes or data warehouses , ensuring efficient storage and retrieval for diverse use cases. Security s Compliance Adhere to data governance and regulatory guidelines (GDPR, HIPAA, etc.) relevant to your industry. Implement secure coding practices and access controls to protect sensitive data assets. Performance Tuning s Cost Optimization Continuously monitor , profile , and refine data pipelines and ML models to ensure minimal latency and reduced computational costs. Utilize cloud-native monitoring tools (Azure Monitor, AWS CloudWatch, GCP Stackdriver) for alerts , logging , and budget management. Mentorship s Leadership Provide technical guidance and coaching to junior data scientists and data engineers, encouraging best practices. Lead architecture and design reviews, fostering a culture of quality and collaboration across the data organization. What We Look For Education s Experience MS or PhD in Computer Science, Statistics, Mathematics, Artificial Intelligence , or a related field. 8+ years of experience delivering end-to-end data solutions in data science, analytics, or machine learning. Technical Expertise Proficiency in Python , with strong skills in OOP , design patterns , and software engineering best practices. Mastery of ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and proficiency in NumFOCUS libraries (pandas, NumPy, SciPy). Familiarity with cloud platforms (Azure, AWS, GCP), containerization (Docker), and orchestration (Kubernetes). Experience with version control (Git) and building CI/CD pipelines for data and ML products. Ability to handle large-scale data (Spark, Dask, or similar) and real-time streaming (Kafka, Flink) when required. Analytical s Communication Skills Deep knowledge of statistics , machine learning , and optimization techniques, paired with the ability to convey technical results to diverse audiences. Experience in data visualization and dashboard creation, conveying complex information in an understandable manner. Proven record of collaborating across business, engineering, and product management teams. Soft Skills s Mindset Commitment to continuous learning and staying current with emerging data science and engineering trends. Strong leadership qualities with a knack for mentoring , problem-solving, and managing stakeholder expectations. Flexible and agile approach to adapting in a fast-paced environment and delivering high-quality outputs. Why Join Us Strategic Impact : Work on mission-critical projects where data science informs key decisions and directly influences the bottom line. Cutting-Edge Technology : Leverage a modern tech stack and ample freedom to experiment with new tools and methodologies. Leadership s Growth : Shape the technical direction of the data organization, mentoring talent and establishing best practices. Collaborative Environment : Join a supportive team culture that values shared learning, innovation, and collective problem-solving. Work-Life Balance : Enjoy a flexible schedule with remote-friendly policies and competitive compensation. If you’re passionate about end-to-end data solutions and have the depth of expertise to drive data projects from conception through deployment , we invite you to become our Senior Full Stack Data Scientist . Bring your blend of data science , software engineering , and strategic thinking to propel our organization toward data-driven excellence. Apply now to embark on this exciting journey!

Job Title: GenAI Engineer Location: Gurugram Experience: 7-10 Years Required Skills 8-12 years in AI/ML development, with at least 4 years focused on Generative AI and AI agent frameworks. Education: BTech/BE in Computer Science, Engineering, or equivalent (Master’s or PhD in AI/ML is a plus). Programming: Expert-level Python proficiency, with deep expertise in GenAI libraries (e.g., LangChain, Hugging Face Transformers, PyTorch, Open AI SDK) and data analytics libraries (e.g., Pandas, NumPy), sk-learn. Mac Data Analytics: Strong experience in data preprocessing, statistical analysis, and model evaluation to support GenAI development and business insights. Data Visualization: Proficiency in visualization tools (e.g., Matplotlib, Seaborn, Plotly, Power BI, or Tableau) to create dashboards and reports for stakeholders. Azure Cloud Expertise: Strong experience with Azure Cloud services (e.g., Azure Function App, Azure ML, serverless) for model training and deployment. GenAI Methodologies: Deep expertise in LLMs, AI agent frameworks, prompt engineering, and RAG for internal workflow automation. Deployment: Proficiency in Docker, Kubernetes, and CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for production-grade GenAI systems. LLMOps: Expertise in GenAI MLOps, including experiment tracking (e.g., Weights Biases), automated evaluation metrics (e.g., BLEU, ROUGE), and monitoring.

MUST HAVE: Python Plotly Dash Pandas Snowflake SQL full-stack experience with Python backend and Plotly Dash frontend to create web applications and perform data analytics and data transformation experience with Database interfacing ( Snowflake/SQL), data analytics and transformation experience required Core understanding of server-client network foundations, competency in using third-party authentication ( IDMS), and REST API usage. Job Types: Full-time, Permanent Pay: ₹700,000.00 - ₹1,400,000.00 per year Application Question(s): This role require to work evening/night shift,Can you work night shift? work from office? Experience: Python: 5 years (Required) Work Location: In person Speak with the employer +91 9800786978

Relocation Assistance Offered Within Country Job Number #167668 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Senior Specialist, Global Data Science Brief introduction - Role Summary/Purpose (3-4 sentences max.): The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets. The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling , simulations, and optimization solutions for clear dollar objectives and measured value for Colgate Palmolive The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects Responsibilities (4-6 bullet points): Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms Own Pricing and Promotion, Marketing Mix from scoping to delivery Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL Present insights in an easy to interpret way to the business teams Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets Ready to work closely with business partners across geographies Required Qualifications (3-5 bullet points): BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building statistical models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory) and SQL Knowledge of using GitHub, Airflow for coding and model deployments Understand visualization frameworks PyDash, Flask, PlotLy Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run. Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment Preferred Qualifications (3-5 bullet points): Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc) Knowledge of deployment of models in Cloud Environment using Airflow, Docker Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. #LI-Remote

Job Title: Senior Data Scientist (Remote) Location: Remote (Global or specify regions/time zones) Experience: 7+ years Employment Type: Full-Time About The Role We are seeking an experienced and results-driven Senior Data Scientist to join our remote team. In this role, you will lead end-to-end data science projects, build predictive models, provide strategic insights, and collaborate cross-functionally to drive data-informed decision-making. You’ll work closely with product, engineering, and business teams to solve high-impact problems using advanced analytics and machine learning. Key Responsibilities Lead the design, development, and deployment of advanced machine learning models and statistical analyses. Translate complex business problems into data science solutions. Collaborate with stakeholders to identify business challenges and define analytical approaches. Work with large-scale structured and unstructured datasets from multiple sources (e.g., APIs, databases, data lakes). Develop robust data pipelines, perform feature engineering, and build model evaluation and monitoring systems. Communicate insights, model results, and recommendations clearly to non-technical audiences. Mentor junior data scientists and contribute to knowledge-sharing across teams. Continuously monitor and optimize the performance of deployed models and analytical systems. Stay up-to-date with the latest tools, technologies, and methodologies in the data science field. Required Qualifications 7+ years of hands-on experience in data science or advanced analytics. Proficiency in Python (NumPy, pandas, scikit-learn, TensorFlow/PyTorch, etc.) and SQL. Solid understanding of statistics, machine learning, deep learning, and model evaluation techniques. Experience working with cloud platforms (AWS, GCP, or Azure) and MLOps tools. Strong problem-solving skills and a passion for data-driven decision-making. Experience deploying models into production and maintaining ML pipelines. Excellent communication and collaboration skills in a remote environment. Preferred Qualifications Advanced degree (MS/PhD) in Computer Science, Data Science, Statistics, or a related field. Experience with NLP, time series forecasting, or recommender systems. Familiarity with data visualization tools like Tableau, Power BI, or Plotly/Dash. Experience working in Agile/Scrum teams. Tools & Technologies You Might Use Python, R, SQL scikit-learn, TensorFlow, PyTorch Airflow, MLflow, Docker, Kubernetes AWS/GCP/Azure Git, Jupyter, VS Code Tableau, Looker, Power BI

We’re Hiring – Python Data Experts Join our Performance Marketing AI/ML projects and work on cutting-edge data visualization and engineering. Roles Open: 30 Data Scientists / Visualization Experts 20 Data Engineers You should have: Advanced Python skills (pandas, matplotlib, plotly, bokeh, dash) Data wrangling and large dataset handling experience Interactive dashboard creation expertise (Bonus) BI tools: Tableau, Power BI, Looker Remote | Contract | Flexible Apply now: https://forms.gle/CsNS4SyVkekmuoJZA Only shortlisted candidates will be contacted. #DataScience #DataEngineering #Python #DataVisualization #DataJobs #RemoteWork #FreelanceJobs #MachineLearning #AIML #BusinessIntelligence #Dashboards #Plotly #Matplotlib #DataWrangling #BigData #Tableau #PowerBI #Bokeh #Dash

Our Company We’re Hitachi Vantara, the data foundation trusted by the world’s innovators. Our resilient, high-performance data infrastructure means that customers – from banks to theme parks – can focus on achieving the incredible with data. If you’ve seen the Las Vegas Sphere, you’ve seen just one example of how we empower businesses to automate, optimize, innovate – and wow their customers. Right now, we’re laying the foundation for our next wave of growth. We’re looking for people who love being part of a diverse, global team – and who get excited about making a real-world impact with data. The Role Office Location: Hyderabad (Work from Office) Key Responsibilities Lead SQL development: Write and maintain complex queries, stored procedures, triggers, functions, and manage views for high-performance data operations. Advanced Python Programming: Use Python to build ETL pipelines, automate data workflows, and conduct data wrangling and analysis. Data Modeling & Architecture: Develop scalable data models and work closely with engineering to ensure alignment with database design best practices. Database Optimization: Design and implement efficient indexing and partitioning strategies to improve query speed and system performance. Business Insights: Translate large and complex datasets into clear, actionable insights to support strategic business decisions. Cross-functional Collaboration: Partner with product, tech, and business stakeholders to gather requirements and deliver analytics solutions. Mentorship & Review: Guide junior analysts and ensure adherence to coding standards, data quality, and best practices. Visualization & Reporting: Create dashboards and reports using tools like Power BI, Tableau, or Python-based libraries (e.g., Plotly, Matplotlib). Agile & Version Control: Operate in Agile environments with proficiency in Git, JIRA, and continuous integration for data workflows. About Us We’re a global team of innovators. Together, we harness engineering excellence and passion for insight to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can a make positive impact on their industries and society. If you believe that innovation can inspire the future, this is the place to fulfil your purpose and achieve your potential. Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How We Look After You We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

You are a resilient, forward-thinking Python Developer with expertise in AI and Machine Learning deployment, interested in joining our growing technology team as a Python with AI/ML Developer. Your role will involve building, deploying, and maintaining scalable ML models and backend systems to support AI-driven products. To excel in this position, you must have a passion for innovation, attention to detail, and the ability to solve complex problems with effective technical solutions. Your responsibilities will include developing, testing, and deploying machine learning models using Python and AI frameworks such as TensorFlow, PyTorch, and scikit-learn. You will collaborate with data scientists, product teams, and engineers to transition prototypes into production-ready systems. Additionally, you will build and manage APIs and backend services using frameworks like Flask and FastAPI, deploy ML models in cloud or on-prem environments using Docker, Kubernetes, and CI/CD pipelines, and optimize model performance post-deployment. As a successful candidate, you should hold a Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field and have at least 2 years of experience in Python development with a focus on AI/ML projects. You must possess strong knowledge of ML/AI tools and frameworks, experience deploying and maintaining ML models in production environments, proficiency in containerization and orchestration tools, and familiarity with REST APIs and microservice architecture. Knowledge of cloud platforms, problem-solving skills, and a proactive, team-oriented mindset are essential for this role. Preferred skills include experience with data streaming platforms, familiarity with MLOps tools, exposure to computer vision, NLP, or deep learning projects, knowledge of database systems, experience with interactive dashboard tools, and contributions to open-source AI/ML projects or Kaggle competitions. Staying current with the latest research and best practices in AI, ML, and MLOps, as well as documenting technical architecture and best practices are crucial aspects of this role. Troubleshooting and resolving issues related to ML model performance, deployment, and data pipelines will also be part of your responsibilities.,

Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Position Overview: Boeing Test and Evaluation team is currently looking for Associate Business Intelligence Analyst to join their team in Bengaluru, KA. BI Analyst at Boeing make sure that products at the world’s largest aerospace company continue to meet the highest standards. From quality and reliability to safety and performance, their expertise is vital to the concept, design and certifications of a wide variety of commercial and military systems. Position Responsibilities: Develop, maintain and optimize Python code for data analysis, automation, and visualization. Design and implement interactive dashboards and analytical tools using Python libraries (e.g., Plotly, Dash, Streamlit, Matplotlib, Seaborn). Collaborate closely with data scientists and deploy machine learning models for predictive analytics, classification, and clustering. Perform data extraction, cleaning, transformation, and integration from multiple sources (SQL, APIs, flat files, etc.). Perform software testing before deployment like unit , integration and functional testing using python (PyUnit, PyTest) Prepare data for analysis, including cleansing, conditioning, transforming, handling missing fields, identifying new feature variables, and handling multivariate data. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Troubleshoot and resolve issues related to data pipelines, code performance, and scalability. Contribute to the development of software solutions for data processing and analysis. Document software development and maintain software documentation. Stay updated with the latest advancements in Python, data engineering, and analytics. Basic Qualifications (Required Skills/Experience): Hands on 5+ years relevant experience in Python development and Tableau. Position requires hands-on experience in working with Python. Proficient with Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. Solid understanding of software development principles and lifecycle. Familiarity with data structures, algorithms, system design, and business intelligence concepts. Knowledge of version control systems, preferably Git. Strong problem-solving skills and ability to work in a team environment. Excellent verbal and written communication skills. Preferred Qualifications (Desired Skills/Experience): Bachelor's degree in Computer Science Engineering, Business Analytics, or a related field or higher is preferred. Candidate must be a self-starter with a positive attitude, high ethics, and a track record of working independently in developing the analytics solutions Must be able to work collaboratively with very strong teaming skills. Must be willing to work flexible hours (early or late as needed) to interface with Boeing personnel around the world. Develop and maintain relationships / partnerships with customers, stakeholders, peers, and partners to develop collaborative plans and execute on projects. Proactively seek information and direction to successfully complete the statement of work. Demonstrate strong written, verbal and interpersonal communication skills. Be fluent in written and spoken English and have high degree of proficiency with MS Office tools to prepare comprehensive reports, presentations, proposals, and Statements of Work. Preferred experience in handling engineering data sets such as component failure data, engineering production process data, engineering test data, time series data etc. Preferred experience in deploying data science solutions on cloud platforms like Tanzu Application Services (TAS), Kubernetes, GCP, etc Experience in C# Language, ReactJS, is a huge plus. Typical Education & Experience: Bachelor or Master degree in Computer Science/ Engineering ( Software / Instrumentation / Electronics / Electrical / Mechanical or equivalent discipline) with 5 to 8 years’ experience. (For Ex : Masters with 4+ Experience or Bachelors with 5-8 years). Relocation: This position offers relocation based on candidate eligibility within India. Applications for this position will be accepted until Aug. 22, 2025 Export Control Requirements: This is not an Export Control position. Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

Job Profile: Python developer with AI Experience Work From Home Opportunity Experience: 2 - 3 Years We are seeking a talented and experienced * Python and Django Developer * with expertise in modern web frameworks, databases, AI development, and front-end technologies . The ideal candidate will work on cutting-edge projects, including AI-driven applications , knowledge graph systems, and scalable web solutions. The job can be either part-time or full-time. Minimum 2 years of experience is needed. Key Responsibilities: Design, develop, and maintain scalable backend systems using *Python* and *Django*. Must have experience with AI and automation tools such as n8n, make.com and Zapier. Develop and integrate user-facing features with * ReactJS* or *Next.js * for responsive, intuitive front-end applications. Build and optimize knowledge graphs and vector-based databases for advanced data retrieval and AI applications. Collaborate with AI/ML teams to integrate and deploy AI models in production environments. Implement APIs and microservices to support various application functionalities. Optimize application performance, ensuring scalability and efficiency. Research and implement best practices in AI systems, including natural language processing (NLP) and recommendation systems. Work collaboratively in an Agile environment with cross-functional teams to deliver high-quality solutions. Troubleshoot, debug, and upgrade existing systems to ensure security and efficiency. Required Skills and Qualifications: 3+ years of professional experience* in Python development. Proficiency in *Django* and related backend technologies. Strong expertise in *ReactJS* for front-end development. Hands-on experience with *vector databases* (e.g., Pinecone, Weaviate) and *knowledge graph databases* (e.g., Neo4j, Stardog). Familiarity with *building AI models* and deploying them in production, including frameworks like TensorFlow or PyTorch. Knowledge of *RESTful APIs* and/or *GraphQL* for efficient data transfer. Experience with cloud platforms like *AWS, **Azure, or **Google Cloud*. Proficiency with *DevOps tools* like Docker, Kubernetes, and CI/CD pipelines. Solid understanding of database systems (SQL and NoSQL). Experience with *version control systems*, especially Git. Knowledge of data structures, algorithms, and system design principles. Nice-to-Have Skills: Familiarity with *LLMs (Large Language Models)* and prompt engineering. Experience with *real-time data streaming* frameworks like Apache Kafka. Knowledge of *data visualization tools* such as Plotly, Dash, or D3.js. Knowledge of React Understanding of *cybersecurity practices* and secure coding principles. Proficiency in other backend frameworks like Flask or FastAPI Soft Skills: Strong problem-solving and analytical skills. Excellent written and verbal communication abilities. Team player with the ability to work in a collaborative, fast-paced environment. A passion for staying updated with the latest technologies and trends . Job Type - Full-time, Day shift, Night shift, Flexible Schedule. Working Days - Monday to Friday Interested Candidates can apply directly or can share their CVs on hr.infugin@gmail.com or can contact us at 8360228824 Job Types: Full-time, Permanent Pay: ₹35,925.20 - ₹65,771.82 per month Benefits: Flexible schedule Work from home Education: Bachelor's (Required) Experience: n8n: 2 years (Required) AI Automation Tools: 2 years (Required) Python: 2 years (Required) Django: 2 years (Required) React Js: 1 year (Required) Language: English (Required) Work Location: Remote

Experience : 2.00 + years Salary : USD 2592 / month (based on experience) Expected Notice Period : 7 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Zero to 1) What do you need for this opportunity? Must have skills required: Chatbot, Gen AI, LLM, Cloud Server (Google / AWS), Machine Learning, Python Zero to 1 is Looking for: Job Title: AI Engineer Location: Remote Type: Full-time Experience Level: 2–3 years Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Collaborate closely with product managers, data engineers, and developers to integrate AI solutions into production. Perform data preprocessing, cleaning, and feature engineering for structured and unstructured datasets. Research and prototype new algorithms and approaches in AI/ML, NLP, and/or computer vision. Optimize models for performance, scalability, and cost-effectiveness. Set up automated training, evaluation, and deployment pipelines (MLOps best practices). Stay updated with the latest research, frameworks, and tools in AI/ML and bring them into the product. Requirements Must-Have: Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Solid understanding of ML fundamentals: supervised, unsupervised, and reinforcement learning. Experience with data processing libraries (Pandas, NumPy) and visualization tools (Matplotlib, Plotly, Seaborn). Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker). Strong problem-solving and analytical skills. Good-to-Have: Experience in NLP (transformers, LLM fine-tuning) or Computer Vision (CNNs, OpenCV). Knowledge of APIs and microservices for AI model deployment. Exposure to MLOps tools (MLflow, Kubeflow, Airflow). Prior start-up or fast-paced environment experience. What We Offer A chance to shape the AI backbone of a fast-growing product from the ground up. Freedom to experiment, fail fast, and innovate. Equity options for early team members. Flexible work environment (remote/hybrid options). Direct mentorship from experienced founders and tech leads. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 2.00 + years Salary : USD 2592 / month (based on experience) Expected Notice Period : 7 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - Zero to 1) What do you need for this opportunity? Must have skills required: Chatbot, Gen AI, LLM, Cloud Server (Google / AWS), Machine Learning, Python Zero to 1 is Looking for: Job Title: AI Engineer Location: Remote Type: Full-time Experience Level: 2–3 years Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Collaborate closely with product managers, data engineers, and developers to integrate AI solutions into production. Perform data preprocessing, cleaning, and feature engineering for structured and unstructured datasets. Research and prototype new algorithms and approaches in AI/ML, NLP, and/or computer vision. Optimize models for performance, scalability, and cost-effectiveness. Set up automated training, evaluation, and deployment pipelines (MLOps best practices). Stay updated with the latest research, frameworks, and tools in AI/ML and bring them into the product. Requirements Must-Have: Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Solid understanding of ML fundamentals: supervised, unsupervised, and reinforcement learning. Experience with data processing libraries (Pandas, NumPy) and visualization tools (Matplotlib, Plotly, Seaborn). Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker). Strong problem-solving and analytical skills. Good-to-Have: Experience in NLP (transformers, LLM fine-tuning) or Computer Vision (CNNs, OpenCV). Knowledge of APIs and microservices for AI model deployment. Exposure to MLOps tools (MLflow, Kubeflow, Airflow). Prior start-up or fast-paced environment experience. What We Offer A chance to shape the AI backbone of a fast-growing product from the ground up. Freedom to experiment, fail fast, and innovate. Equity options for early team members. Flexible work environment (remote/hybrid options). Direct mentorship from experienced founders and tech leads. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!