1583 Pandas Jobs - Page 50

Job Summary: We are seeking a skilled Data Scientist with experience in both Python and SAS to join our high-performing analytics team. The ideal candidate will be adept at developing predictive models, analyzing large datasets, and delivering actionable insights using modern data science tools and platforms. Key Responsibilities: Design and develop machine learning and statistical models using Python and SAS. Conduct data exploration, preprocessing, and analysis on structured and unstructured datasets. Use SAS (Base, Advanced, Enterprise Guide, Visual Analytics, or SAS Viya) for reporting, data preparation, and statistical modeling as required. Work with large-scale datasets using Python libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow. Translate business requirements into technical solutions in collaboration with cross-functional teams. Build data pipelines and automate workflows for data analysis and model deployment. Present data-driven insights through visualizations using tools such as Seaborn, Plotly, Matplotlib, or SAS VA. Document models, code, and methodologies for reproducibility and auditability. Qualifications: 2-10 years of experience in data science, machine learning, or advanced analytics. Proficient in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.) and SAS (Base, Advanced, DI, VA, or Viya). Strong knowledge of SQL and experience working with relational databases. Solid foundation in statistical analysis, hypothesis testing, regression, classification, clustering, etc. Experience in building, evaluating, and deploying predictive models. Excellent communication skills and ability to convey complex findings to non-technical stakeholders. Preferred Qualifications : Experience with big data tools (Spark, Hive, Hadoop). Exposure to MLOps tools (MLflow, Airflow, Docker, etc.). Familiarity with cloud platforms (AWS, Azure, GCP). Understanding of SAS integration with cloud or open-source tools. Experience with NLP, image recognition, or deep learning frameworks. Location- Pan ,Delhi NCR,Bengaluru,Chennai,Pune,Kolkata,Ahmedabad,Mumbai, Hyderabad Education- Bachelor's degree in Computer Science, Information Technology, or a related field.

Company Overview BOLD is an established and fast-growing product company that transforms work lives. Since 2005,weve helped more than 10,000,000 folks from all over America(and beyond!) reach higher and do better. A career at BOLD promises great challenges, opportunities, culture and the environment. With our headquarters in Puerto Rico and offices in San Francisco and India, were a global organization on a path to change the career industry. Position Overview BOLD is seeking a highly skilled professional to spearhead the development of cutting-edge browser automation technology for our Expert Apply product. You will play a key role in designing scalable automation frameworks, tackling challenges in bot detection, and optimizing system performance. You'll also be responsible for building and monitoring metrics to ensure system reliability and robustness. If you are passionate about large-scale automation and system reliability, we want to hear from you. Role & responsibilities Design and architect scalable and robust enterprise-level automation applications using Python. Develop applications that run on PODs (Kubernetes), ensuring high availability and reliability. Debug complex issues in applications and devise solutions that enhance stability and performance. Identify performance bottlenecks within applications through profiling and metrics analysis. Optimize existing code to improve performance and efficiency, ensuring the system can handle high traffic loads. Utilize automation frameworks and tools such as Playwright, Chromium, and stealth browser for web automation tasks. Implement message handling to facilitate communication between different services. Develop web scraping solutions to gather and process data from various online sources. Analyze and troubleshoot software issues, providing timely resolutions to ensure system reliability Collaborate with cross-functional teams to understand user requirements and translate them into technical specifications. Review and enhance code quality through thorough testing and code reviews. Stay updated with industry trends and emerging technologies, integrating best practices into the development process Document architecture, design choices, and implementation details for future reference and knowledge sharing. Ensure compliance with security and data privacy standards throughout the application lifecycle. Preferred candidate profile Strong programming skills in Python like expertise in string manipulation and regular expression to effectively handle and process the text data during web scrapping and automation tasks. Deep understanding of OOP principles, including encapsulation, inheritance, and polymorphism, to design robust and maintainable software systems. Knowledge of common design patterns (e.g., Singleton, Factory, Observer) to enhance system design, improve code reusability, and implement best practices in software architecture. Solid foundation in algorithms (sorting, searching, parsing) and data structures (lists, dictionaries, trees) to solve complex problems efficiently and effectively during software development. Good understanding of how modern browsers function, including rendering engines, Java Script engines, HTTP protocols, and browser APIs. Experience optimizing scraping strategies based on browser behavior and performance. Experience with caching technologies (e.g. Redis, in-memory caching) Experience with messaging protocols (e.g. Azure service bus, Kafka, RabbitMQ) working knowledge and proven experience in containerization using Docker. Understanding of DevOps practices and CI/CD pipelines. Excellent communication skills and the ability to collaborate across time zones Excellent analytical and problem-solving skills. Knowledge of cloud computing, Amazon Web Services or Microsoft Azure

Develop and maintain Python-based applications, with a focus on Flask for web development. Collaborate with cross-functional teams to understand project requirements and translate Bachelors or Master's degree in Computer Science, Data Science, or a related field. 2+ years of professional experience in Python development and data science. Strong proficiency in Python programming languagewith Flask framework and familiarity with relational databases (e.g., MySQL). Proficiency in handling and manipulating various types of data, including structured and unstructured data, using Python libraries such as Pandas, NumPy, and Beautiful Soup. Apply machine-learning techniques to analyse and extract insights from large text datasets, including social media data, customer feedback, and user interactions, to inform business decisions and strategy. Knowledge of machine learning techniques and libraries (e.g., scikit-learn, TensorFlow). Familiarity with creating and managing projects involving language models such as OpenAI's GPT (Generative Pre-trained Transformer) series, including ChatGPT and other prompt engineering tasks. Use models for LLMs and related tasks to enhance Chabots, virtual assistants, and other conversational AI applications, improving natural language understanding, conversation flow, and response generation. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. Experience with version control systems (e.g., Git). Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities them into technical solutions. Design, implement, and maintain data pipelinesfor collecting, processing, and analysing large datasets. Perform exploratory data analysis to identify trends, patterns, and insights. Build machine learning models and algorithms to solve business problems and optimize processes. Deploy and monitor data science solutions in production environments. Conduct code reviews, testing, and debugging to ensure the quality and reliability of software applications. Stay updated with the latest trends and advancements in Python development, data science, and machine learning.

Job Title: Intern (DS) Job Overview: As a Data Science Intern, you will collaborate with experienced data scientists to analyze temporal data and develop machine learning models. Your contributions will play a vital role in our data-driven decision-making processes. Role and Responsibilities: Assist in collecting, cleaning, and preprocessing time series data for analysis. Conduct exploratory data analysis to identify trends, patterns, and seasonality in datasets. Develop and implement machine learning models for time series forecasting. Collaborate with team members to evaluate model performance and refine algorithms. Document methodologies, findings, and insights for internal knowledge sharing. Create visualizations and reports to effectively communicate results to stakeholders. Stay updated on best practices and emerging trends in machine learning and time series analysis. Qualifications: Completed bachelor's degree in data science, Computer Science, Statistics, Mathematics, or a related field. Familiarity with machine learning concepts and techniques, particularly in time series analysis. Proficiency in programming languages such as Python or R, along with libraries like Pandas, NumPy. Understanding of statistical methods and time series forecasting techniques. Strong analytical and problem-solving skills with attention to detail. Good communication skills to present complex findings clearly and effective.

Experience - 5+Years Location - Bangalore Mandatory Skills: Must have good knowledge of Python scripting, Django and Flask. Good Experience in NumPy, pandas and PySpark. Good Experience with any source system Oracle, MySQL, SQL Server. Good Experience in Could Integration like Aws, Azure or GCP. Good Experience in Rest API. Good Knowledge on Any Database. Good Experience on Automation packages likes unit test, pytest, selenium and Robotic Framework. Must be willing to learn new tools and technologies to incorporate the changing needs of the customer. Good Experience Front End Technology like HTML, CSS and JavaScript. Good knowledge of SDLC and Agile methodology. The candidate should have good analytical skills. Excellent communication skills. Good Experience in control version tool like GitHub, bitbucket or SVN. Good Experience Data loading and extraction using python scripting. Good Experience in ML, NLP and Deep Learning Model. Handling Team members and Leadership qualities. Responsibilities Understanding complex requirements and converting them to tasks. Work with the engineering team in hosting and maintaining the project in the Development, QA and Production servers. After Developing doing unit testing and Code Review. Development code moving to GitHub, bitbucket or SVN. Education Required Bachelor s degree or equivalent in business analysis/process analysis, organizational development or related discipline or equivalent. Perks & Benefits: Health and WellnessHealthcare policy covering your family and parents. FoodEnjoy a scrumptious buffet lunch at the office every day (For Bangalore) Professional DevelopmentLearn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs. Rewards and RecognitionsRecognition and rewards programs in place to celebrate your achievements and contributions. Why join Relanto Health & FamilyComprehensive benefits for you and your loved ones, ensuring well-being. Growth MindsetContinuous learning opportunities to stay ahead in your field. Dynamic & InclusiveVibrant culture fostering collaboration, creativity, and belonging. Career LadderInternal promotions and clear path for advancement. Recognition & RewardsCelebrate your achievements and contributions. Work-Life HarmonyFlexible arrangements to balance your commitments.

Job TitleAI/ML Architect Location: Bangalore / Pune Experience: 10+ Years Job Type: Full-Time | Work Mode: Hybrid Job Summary We are seeking an experienced and visionary AI/ML Architect to lead the end-to-end design, development, deployment, and operationalization of advanced AI/ML and Generative AI (GenAI) solutions on cloud platforms. The ideal candidate will possess deep technical expertise in ML architecture, GenAI frameworks, Retrieval-Augmented Generation (RAG) pipelines, cloud-native deployment, and MLOps practices. You will work closely with cross-functional teams, clients, and engineering teams to define scalable AI strategies and deliver cutting-edge solutions across various domains. Key Responsibilities Customer Engagement & Solution Architecture Interact with clients and stakeholders to gather business and technical requirements and translate them into scalable AI/ML solutions. Architect and design AI/ML systems across AWS, GCP, or Azure with a strong focus on cloud-native and cost-optimized architecture. Create detailed system design documents, architecture diagrams, and technical roadmaps. Define data architecture, storage, and retrieval strategies tailored to AI/ML workflows. GenAI & RAG Architecture Lead the design and implementation of Generative AI solutions using LLMs, LangChain, LlamaIndex, Prompt Engineering, and vector databases such as Pinecone, FAISS, Weaviate, or Elasticsearch. Architect RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases including knowledge management, chatbot development, and document summarization. Implement prompt orchestration, retrieval optimization, and grounding techniques to enhance LLM output accuracy and relevance. AI/ML Model Development & MLOps Guide the development of Python-based APIs, data preprocessing workflows, and model training pipelines. Design and implement robust CI/CD pipelines for ML model deployment using tools like SageMaker, Vertex AI, or Azure ML. Define and implement model monitoring, retraining, and performance management strategies for production-grade ML systems. Ensure best practices in versioning, reproducibility, model lineage, and auditability (MLOps/LLMOps). Technical Leadership & Governance Review and approve system designs, PoCs, and implementation approaches. Provide hands-on leadership and mentorship to data scientists, ML engineers, and software developers. Lead architectural decision-making, code quality reviews, and sprint grooming sessions. Champion best practices in security, compliance, scalability, and performance optimization for AI/ML solutions. Project Management & Collaboration Own end-to-end technical delivery of AI/ML and GenAI projects across multiple domains (e.g., BFSI, Retail, Healthcare, Manufacturing). Coordinate with product owners, business analysts, data engineers, and DevOps teams to ensure seamless delivery. Manage stakeholder expectations, project timelines, and resource allocation efficiently. Required Qualifications 10+ years of overall IT experience, with minimum of 5+ years in designing, developing, deploying, and operationalizing AI/ML solutions. Minimum 2-3 years of experience in architecting end-to-end AI/ML solutions, including design, implementation, and production deployment. Proven experience in GenAI, LLMs, RAG architecture, prompt engineering, and orchestration tools like LangChain, LlamaIndex, etc. Hands-on with vector databases (e.g., Pinecone, FAISS, Elasticsearch) and unstructured data retrieval. Deep knowledge of Machine Learning and Deep Learning algorithmsCNNs, RNNs, LSTMs, Transformers, etc. Experience in Natural Language Processing (NLP), including language modeling, summarization, classification, and NER. Strong expertise in Python, with frameworks like PyTorch, TensorFlow, HuggingFace, NumPy, and Pandas. Demonstrated experience in designing cloud-native AI/ML solutions on AWS, GCP, or Azure. Skilled in deploying models via services like SageMaker, Vertex AI, Azure ML, or using containers and Kubernetes. Solid understanding of MLOps/LLMOps lifecyclepipeline automation, model registry, monitoring, CI/CD. Excellent communication, leadership, and stakeholder management skills. Preferred Qualifications Certification in AWS/GCP or ML specializations. Experience in leading large-scale AI transformation programs. Why Join Us Work with cutting-edge GenAI and AI/ML technologies and projects. Collaborate with top-tier clients and drive real-world impact. Leadership opportunities in a growing AI/ML practice.

Programming Expertise: Proficiency in Python with knowledge of frameworks like Flask, or FastAPI. Understanding of Gen AI and visualization tools (e.g. PowerBI) and Fluency with Linux platform is a plus. Data Handling and Database Knowledge: Proficiency in Databases - MongoDB, PostgreSQL, Cassandra etc. Expertise in processing large datasets using Pandas and NumPy and visualizing the data using Plotly, Matplotlib, Seaborn, etc. Strong skills in data cleaning, manipulation, and transformation. Automation and Scripting: Ability to automate repetitive tasks using Python scripts or bash or command line scripts. Experience with tools like Airflow for automation. Testing and Debugging: Proficiency in testing frameworks and debugging issues efficiently. Cloud and Deployment: Basic understanding of cloud platforms (AWS, GCP, Azure) and CI/CD pipelines. Experience with tools like - Jenkins, Github Actions, Bitbucket Pipelines is a plus. Collaboration and Governance: Experience in Agile methodologies, version control, and cross-functional teamwork. Qualifications: Completed Three years of full-time Graduation (B. Com/ BMS / BBI / BAF / BFM , B. E. / B. Tech) 1 to 3 years of experience in software development Proficiency in at least one programming language - Python, GEN AI, Visualization tools.

Senior Machine Learning Engineer - Recommender Systems Join our team at Thomson Reuters and contribute to the global knowledge economy. Our innovative technology influences global markets and supports professionals worldwide in making pivotal decisions. Collaborate with some of the brightest minds on diverse projects to craft next-generation solutions that have a significant impact. As a leader in providing intelligent information, we value the unique perspectives that foster the advancement of our business and your professional journey. Are you excited about the opportunity to leverage your extensive technical expertise to guide a development team through the complexities of full life cycle implementation at a top-tier companyOur Commercial Engineering team is eager to welcome a skilled Senior Machine Learning Engineer to our established global engineering group. Were looking for someone enthusiastic, an independent thinker, who excels in a collaborative environment across various disciplines, and is at ease interacting with a diverse range of individuals and technological stacks. This is your chance to make a lasting impact by transforming customer interactions as we develop the next generation of an enterprise-wide experience. About the Role: As a Machine Learning Engineer, you will: Spearhead the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business, product, and recommender system objectives. Create machine learning solutions that are scalable, dependable, and secure. Craft and sustain technical outputs such as design documentation and representative models. Contribute to the establishment of machine learning best practices, technical standards, model designs, and quality control, including code reviews. Provide expert oversight, guidance on implementation, and solutions for technical challenges. Collaborate with an array of stakeholders, cross-functional and product teams, business units, technical specialists, and architects to grasp the project scope, requirements, solutions, data, and services. Promote a team-focused culture that values information sharing and diverse viewpoints. Cultivate an environment of continual enhancement, learning, innovation, and deployment. About You: You are an excellent candidate for the role of Machine Learning Engineer if you possess: At least 3 years of experience in addressing practical machine learning challenges, particularly with Recommender Systems, to enhance user efficiency, reliability, and consistency. A profound comprehension of data processing, machine learning infrastructure, and DevOps/MLOps practices. A minimum of 2 years of experience with cloud technologies (AWS SageMaker, AWS is preferred), including services, networking, and security principles. Direct experience in machine learning and orchestration, developing intricate multi-tenant machine learning products. Proficient Python programming skills, SQL, and data modeling expertise, with DBT considered a plus. Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, Keras, and other relevant ML libraries. Experience in leading and supporting engineering teams. Robust background in crafting data science and machine learning solutions. A creative, resourceful, and effective problem-solving approach. #LI-HG1 What’s in it For You Hybrid Work Model We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

HIH - Software Engineering Associate Advisor Position Overview The successful candidate will be a member of our US medical Integration Solutions ETL team. They will play a major role in the design and development if the ETL application in support of various portfolio projects. Responsibilities Analyze business requirements and translate into ETL architecture and data rules Serve as advisor and subject matter expert on project teams Manage both employees and consultants on multiple ETL projects. Oversee and review all design and coding from developers to ensure they follow company standards and best practices, as well as architectural direction Assist in data analysis and metadata management Test planning and execution Effectively operate within a team of technical and business professionals Asses new talent and mentor direct reports on best practices Review all designs and code from developers Qualifications Desired Skills & Experience: 8 - 11 Years of Experience in Java and Python, PySpark to support new development as well as support existing 7+ Years of Experience with Cloud technologies, specifically AWS Experience in AWS services such as Lambda, Glue, s3, MWAA, API Gateway and Route53, DynamoDB, RDS MySQL, SQS, CloudWatch, Secrete Manager, KMS, IAM, EC2 and Auto Scaling Group, VPC and Security Groups Experience with Boto3, Pandas and Terraforms for building Infrastructure as a Code Experience with IBM Datastage ETL tool Experience with CD /CI methodologies and processing and the development of these processes DevOps experience Knowledge in writing SQL Data mappingsource to target target to multiple formats Experience in the development of data extraction and load processes in a parallel framework Understanding of normalized and de-normalized data repositories Ability to define ETL standards & processes SQL Standards / Processes / Tools: Mapping of data sources ETL Development, monitoring, reporting and metrics Focus on data quality Experience with DB2/ZOS, Oracle, SQL Server, Teradata and other database environments Unix experience Excellent problem solving and organizational skills Strong teamwork and interpersonal skills and ability to communicate with all management levels Leads others toward technical accomplishments and collaborative project team efforts Very strong communication skills, both verbal and written, including technical writing Strong analytical and conceptual skills Location & Hours of Work (Specify whether the position is remote, hybrid, in-office and where the role is located as well as the required hours of work) About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Must Have Skills Good Programming Knowledge - Python, C++ Design: OOAD Python Libraries -Numpy, Pandas DL framework - Pytorch, Keras, Tensorflow, Scikit Learn AI Concepts - Strong fundamentals & working experience in Machine Learning (ML) Deep Learning (DL) Model Tuning, Optimization & Verification Transfer Learning Excellent understanding of lower level fundamentals of deep learning models such as layer details, attention, normalization, backpropagation, and optimizers. Good to have: Regression problem solving AI related certification - NLP / Vision / Audio / IOT Concepts of GPU based model training Open source NLP toolchain Hands on experience in NLP, NLU, NLG tasks Preferred candidate profile Total Exp - 2 to 5 Years Notice Period - Immediate Location -Bangalore Candidate should be ok to work from office.

Job Posting TitleBUSINESS INTELLIGENCE ANALYST I Band/Level5-4-S Education ExperienceBachelors Degree (High School +4 years) Employment ExperienceLess than 1 year At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview TE Connectivity s Business Intelligence Teams are responsible for the processing, mining and delivery of data to their customer community through repositories, tools and services. Roles & Responsibilities Tasks & Responsibilities Assist in the development and deployment of Digital Factory solutions and Machine Learning models across Manufacturing, Quality, and Supply Chain functions. Support data collection, cleaning, preparation, and transformation from multiple sources, ensuring data consistency and readiness. Contribute to the creation of dashboards and reports using tools such as Power BI or Tableau. Work on basic analytics and visualization tasks to derive insights and identify improvement areas. Assist in maintaining existing ML models, including data monitoring and model retraining processes. Participate in small-scale PoCs (proof of concepts) and pilot projects with senior team members. Document use cases, write clean code with guidance, and contribute to knowledge-sharing sessions Support integration of models into production environments and perform basic testing. Desired Candidate Proficiency in Python and/or R for data analysis, along with libraries like Pandas, NumPy, Matplotlib, Seaborn. Basic understanding of statistical concepts such as distributions, correlation, regression, and hypothesis testing. Familiarity with SQL or other database querying tools; e.g., pyodbc, sqlite3, PostgreSQL. Exposure to ML algorithms like linear/logistic regression, decision trees, k-NN, or SVM. Basic knowledge of Jupyter Notebooks and version control using Git/GitHub. Good communication skills in English (written and verbal), able to explain technical topics simply Collaborative, eager to learn, and adaptable in a fast-paced and multicultural environment. Exposure to or interest in manufacturing technologies (e.g., stamping, molding, assembly). Exposure to cloud platforms (AWS/Azure) or services like S3, SageMaker, Redshift is an advantage. Hands-on experience in image data preprocessing (resizing, Gaussian blur, PCA) or computer vision projects. Interest in AutoML tools and transfer learning techniques. Competencies ABOUT TE CONNECTIVITY TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). WHAT TE CONNECTIVITY OFFERS: We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority! Competitive Salary Package Performance-Based Bonus Plans Health and Wellness Incentives Employee Stock Purchase Program Community Outreach Programs / Charity Events IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com . If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities. Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site. Location

Career Area: Technology, Digital and Data : Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Your Impact Shapes the World at Caterpillar Inc When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Job Summary Caterpillar is seeking a skilled Senior Data Scientist to join our team to act as a champion for our Digital Finance-Disruptive Technology Team within the Global Finance Services Division . The incumbent will leverage internal data and advanced analytics to solve business problems. The preference for this role is to be based out of Whitefield Office, Bangalore, India What you will do As a Senior Data Scientist, you will work in a team environment with a group of data scientists and software developers to support the development, integration, and enhancement of Caterpillar's analytics, AI, and Generative AI projects and products. Gain an understanding of Caterpillar s business and accounting practices, systems, and procedures. Developing ML/AI/GenAI models and solutions. Performing data gathering, data mining, and data processing on large volumes of data; creating appropriate data models. Demonstrating a breadth of knowledge in the application of ML/AI/GenAI and statistical methods and/or digital methods to solve business problems. Conducting research on data model optimization and algorithms to improve the effectiveness and accuracy of data analyses. Participating on 1-3 primary projects concurrently. Having a strong focus on continual learning in the Analytics field. Reporting and presenting team results. The Data Scientist will develop good networks within the technical community to enable them to collaborate on technical solutions, obtain resources and cooperation needed, and remove roadblocks so that they can ensure the success of their projects. What you will have Typically, a Bachelor's, Master s, or Ph.D. degree, preferably in statistics, economics, mathematics, or a similar field with quantitative coursework. 5+ Years of Professional Experience with the ability to deliver data science products with almost no technical guidance from others. The ability to provide technical guidance to less experience data science team members. Experience with data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc. Practical applications of machine learning techniques such as clustering, logistic regression, CART, random forests, SVM, or neural networks. Technical and problem-solving skills with evidence of continuous learning in the analytics field. Breadth and depth of knowledge in the application of statistical and/or digital methods to solve business problems. Experience with projects connecting data from various business domains and providing forecasts and insights to run the business profitably. Working knowledge of cloud technologies (AWS, Azure, Google Cloud, etc.). Working knowledge of version control/repositories such as GitHub. Experience operating in an Agile environment. Initiative to research and apply new methods and digital technologies to exceed customer expectations. Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively. Must be comfortable working in MS Office, and industry standard statistics, analytics, and data visualization packages. Experience mechanizing manual data collection processes using Snowflake to enhance indicative data to generate quicker and more granular insights. Tables/Process could be leveraged by the Forecasting and Financial Analysis Reporting groups. Experience with writing fast and memory-efficient code as well as with various types of parallel processingthreading, multi-core/forking, multiple session, and cluster computing. Skills desired: Analytical Thinking Extensive knowledge of techniques and tools for effective analysis; ability to determine the root cause of problems and create alternative solutions that resolve these issues. GenAI / AI / Machine Learning Extensive experience and knowledge of the principles, technologies, and algorithms of GenAI, AI, and machine learning; ability to develop, implement, and deliver related systems, products, and services. Statistics Extensive knowledge of statistical tools, processes, and practices to describe results on measurable scales; ability to use statistical tools and processes to assist in making business decisions. Programming Languages Extensive experience in applying Python (NumPy, SciPy, Pandas, etc.) to solve business challenges; ability to use tools, techniques, and platforms to write and modify programming languages. Information Processing Extensive experience in processing large quantities of detailed information with high levels of accuracy. Databases Extensive knowledge in writing, debugging, and implementing complex queries involving multiple tables or databases. Presentation Skills Strong presentation and communication skills. What you will get: Work Life Harmony Earned and medical leave. Flexible work arrangements Relocation assistance Holistic Development Personal and professional development through Caterpillar s employee resource groups across the globe Career developments opportunities with global prospects Health and Wellness Medical coverage -Medical, life and personal accident coverage Employee mental wellness assistance program Financial Wellness Employee investment plan Pay for performance -Annual incentive Bonus plan. Additional Information: Caterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of the U.S. which can be found through our employment website at www.caterpillar.com/careers Posting Dates: January 16, 2025 - January 29, 2025 Caterpillar is an Equal Opportunity Employer (EEO). Not ready to applyJoin our Talent Community .

Job Information Job Opening ID ZR_2129_JOB Date Opened 05/03/2024 Industry Technology Job Type Work Experience 3-5 years Job Title DB developer -Python City Chennai Province Tamil Nadu Country India Postal Code 600001 Number of Positions 5 Good knowledge and in Python, sql, Perl with 6+ years experience. Good problem solving skill. Ability to understand the data and its relations Capability to learn new technologies in short span of time. Should be able to work in Sprint and meet deadlines. Flexible Work time. Mandatory Skills: Python - Basics, Pandas, Web scrapping, File and XML Handling, Extracting/Manipulating -Excel/CSV/Any File Formats.Perl - Basics, CPAN modules, File and Web scrapping/Handling.** Work from option is available check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_1673_JOB Date Opened 20/12/2022 Industry Technology Job Type Work Experience 3-5 years Job Title Senior DevOps Engineer City Hyderabad Province Telangana Country India Postal Code 500001 Number of Positions 4 Roles & Responsibilities: 3+ years of working experience in data engineering. Hands-on keyboard' AWS implementation experience across a broad range of AWS services. Must have in depth AWS development experience (Containerization - Docker, Amazon EKS, Lambda, EC2, S3, Amazon DocumentDB, PostgreSQL) Strong knowledge of DevOps and CI/CD pipeline (GitHub, Jenkins, Artifactory) Scripting capability and the ability to develop AWS environments as code Hands-on AWS experience with at least 1 implementation (preferred in an Enterprise scale environment) Experience with core AWS platform architecture, including areas such asOrganizations, Account Design, VPC, Subnet, segmentation strategies. Backup and Disaster Recovery approach and design Environment and application automation CloudFormation and third-party automation approach/strategy Network connectivity, Direct Connect and VPN AWS Cost Management and Optimization Skilled experience in Python libraries (NumPy, Pandas dataframe) check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Python,Core Python, Data handling SQL, PL/SQLLists, Tuples, Dictionaries, List comprehensions, Dictionary comprehensions.Python web framework Django, Flask,Data Munging in Python using Pandas.

Dear Candidate, We have an urgent opening for one of Multinational Client for Pan india Location. Interested one can share the resume on Deepaksharma@thehrsolutions.in OR whatsapp on 8882505093 Role: Python Fullstack with DASH Experience : 5+ Years Location : Pan India (Tier 1 Cities). Notice period : Immediate OR Already serving only. Job Description : 5+ years of hands-on experience in IT industry including all phases such as design, development, testing and implementation. 5+ years of hands-on Python development experience and 3+ years of SQL/PL-SQL experience Extensive hands-on experience required on DASH building building interactive web applications, data visualization dashboards, etc. Design, build, and scale data platforms and products using modern cloud technologies leveraging full-stack Python development, cloud data platforms , and knowledge of modern data modeling and storage formats . Knowledge of Airflow handling complex workflow management, scheduling and orchestration of data pipelines or workflows. In-depth knowledge of Python frameworks and libraries, such as Pandas, Django or Flask Implement RESTful APIs and web services for data access and consumption. Experience with continuous integration/continuous deployment (CI/CD) pipelines and tools Basic knowledge of DBT, Snowflake

4+yrs Data science,ML frameworks,MLOps, Python, Data engineering,Cloud platforms,Edge computing,Data manipulation libraries,Model development,Object,Experiment, design,Ab testing. Reach me at mailcv108@gmail.com or WhatsApp me at +91 9611702105

What Youll Do: Architect & maintain production-ready backends Deploy ML models for real-time predictions Write clean, async, and scalable code Lead, mentor & drive code excellence You Bring: Advanced Python skills FastAPI mastery Experience with ML deployment Cloud expertise (AWS, Docker) Why Join Us? Work at the cutting edge of ML + backend Build real-time prediction systems Collaborate with a passionate tech team

Databuzz is Hiring for Python developer-4+yrs-(Pune)-Hybrid Please mail your profile to haritha.jaddu@databuzzltd.com with the below details, If you are Interested. About DatabuzzLTD: Databuzz is One stop shop for data analytics specialized in Data Science, Big Data, Data Engineering, AI & ML, Cloud Infrastructure and Devops. We are an MNC based in both UK and INDIA. We are a ISO 27001 & GDPR complaint company. CTC - ECTC - Notice Period/LWD - (Candidate serving notice period will be preferred) Position: Python developer Location: Pune Exp -4+ yrs Mandatory skills : Candidate should have 4-8 years of Python web development experience Should have good knowledge of AWS serverless service like AWS Lambda, AWS S3 ,AWS Step Functions Should have good working experience on Flask, NumPy, pandas , json ,unit test , mongo ,sql Hands on experience in AWS cloud with understanding of various cloud services and offering for development and deployment of applications Good experience in Amazon RDS, MongoDB and PostgreSQL Should have good security fundamentals knowledge Should be able to code the AWS platform as a service using Terraform Regards, Haritha Talent Acquisition specialist haritha.jaddu@databuzzltd.com

Roles & Responsibilities: AI/ML Development: 1. Model Development and Training: - Design, develop, and train machine learning models and algorithms to solve specific business problems. - Implement various machine learning techniques including supervised, unsupervised, and reinforcement learning. 2. Data Preprocessing and Analysis: - Perform data cleaning, transformation, and preprocessing to prepare data for model training. - Analyze and interpret complex data sets to identify patterns and trends. - NLP, nltk and NER are preferred. 3. Model Evaluation and Optimization: - Evaluate model performance using appropriate metrics and fine-tune models to improve accuracy and efficiency. - Implement model optimization techniques such as hyperparameter tuning and feature engineering. 4. Deployment and Maintenance: - Deploy machine learning models into production environments ensuring scalability and reliability. - Monitor and maintain models to ensure they continue to perform well over time. Python Development: Software Development: - Write clean, maintainable, and efficient Python code. - Develop and maintain Python-based applications, APIs(Flask and Fast API preferred) , and microservices. Code Review and Mentorship: - Conduct code reviews to ensure adherence to best practices and coding standards. - Mentor junior developers and provide guidance on best practices and development techniques. Integration and Testing: - Integrate machine learning models with existing systems and applications. - Develop and execute unit tests, integration tests, and end-to-end tests to ensure software quality. Automation and Scripting: - Automate repetitive tasks and workflows using Python scripts. - Develop and maintain automation tools and frameworks. Collaboration and Communication: - Collaborate with data scientists, data engineers, product managers, and other stakeholders to understand requirements and deliver solutions. - Participate in design and architecture discussions to shape the direction of projects. Documentation and Reporting: - Document code, processes, and methodologies to ensure knowledge sharing and maintainability. - Communicate findings, progress, and results to stakeholders through reports and presentations. Continuous Learning and Improvement: 1. Stay Updated with Industry Trends: - Keep up-to-date with the latest developments in AI/ML and Python technologies. - Experiment with new tools, libraries, and frameworks to improve existing solutions and processes. Problem Solving and Innovation: 1. Innovative Solutions: - Identify opportunities to apply AI/ML techniques to solve new and existing problems. - Propose and implement innovative solutions to improve business processes and outcomes. 2. Technical Challenges: - Tackle complex technical challenges and provide effective solutions. - Troubleshoot and resolve issues related to machine learning models and Python applications. Mandatory Skills: Strong proficiency in Python and its libraries (e.g., NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch). NLP, nltk and NER hand on knowledge is required. Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of software development principles, design patterns, and best practices. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Ability to work independently and as part of a team. Continuous learning mindset and adaptability to new technologies.

The Team : As a member of the Data Transformation - Cognitive Engineering team you will work on building and deploying ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead deployment of AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead a highly skilled and technically strong team (including leadership) Contribute to solving high complexity, high impact problems Build production ready pipelines from ideation to deployment Responsibilities: Design, Develop and Deploy ML powered products and pipelines Mentor a team of Senior and Junior data scientists ML Engineers in delivering large scale projects Play a central role in all stages of the AI product development life cycle, including: Designing Machine Learning systems and model scaling strategies Research & Implement ML and Deep learning algorithms for production Run necessary ML tests and benchmarks for model validation Fine-tune, retrain and scale existing model deployments Extend existing ML librarys and write packages for reproducing components Partner with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Interpret results and present them to business leaders Manage production pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Lead and mentor by example, including project scrums Technical Requirements: Proven track record as a senior lead ML engineer Expert proficiency in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Excellent exposure to large scale model deployment strategies and tools Excellent knowledge of ML & Deep Learning domain Solid exposure to Information Retrieval, Web scraping and Data Extraction at scale Exposure to the following technologies - R-Shiny/Dash/Streamlit, SQL, Docker, Airflow, Redis, Celery, Flask/Django/FastAPI, PySpark, Scrapy Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Open to learning new technologies and programming languages as required A Masters PhD from a recognized institute in a relevant specialization Good to have: 6-7+ years of relevant experience in ML Engineering Prior substantial experience from the Economics/Financial industry Prior work to show on Github, Kaggle, StackOverflow etc.

About the Role: Grade Level (for internal use): 09 The Team: As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact: The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Key Responsibilities Design, Develop and Deploy ML powered products and pipelines Play a central role in all stages of the data science project life cycle, including: Identification of suitable data science project opportunities Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements Evaluation/interpretation of results and presentation to business leaders Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments Training large models both for experimentation and production Develop production ready pipelines for enterprise scale projects Perform code reviews & optimization for your projects and team Spearhead deployment and model scaling strategies Stakeholder management and representing the team in front of our leadership Leading and mentoring by example including project scrums What Were Looking For: 2+ years of professional experience in Data Science domain Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.) Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures Expertise in probabilistic machine learning model for classification, regression & clustering Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets. Exposure to Information Retrieval, Web scraping and Data Extraction at scale OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Problem-solving and debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Prior work to show on Github, Kaggle, StackOverflow etc. Cloud expertise (AWS and GCP preferably) Expertise in deploying machine learning models in cloud environments Familiarity in working with LLMs

Hello, Greetings from GlobalData!!! Job opening for Data Science Manager role @ GD-Bengaluru Job Criteria :- Qualification: B.Tech/BE/MCA/M.Tech/M.Sc-(Computers) Experience Range : 8 to 12 years Key Skills : ML and AI-driven solutions, including traditional models, NLP, LLMs, Generative AI, and Computer Vision projects, scikit-learn, pandas, TensorFlow, and PyTorch, Traditional ML, Generative AI, NLP, Statistics, and LLMs. Knowledge of Agentic AI is a plus Notice Period : Immediate joiners or with one month notice period Job Location : Bengaluru Work Mode : Hybrid Salary : best as per market standard's Detailed job description given below, If requirement is matching to your profile share your updated resume @ mail id (m.salim@globaldata.com). Mention Subject Line : Applying for Data Science Manager role-Bengaluru @ GlobalData Please Share your details in the mail :- Your Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Current CTC : Expected CTC : Notice Period : Present Location : Job Description :- Role : Data Scientist Manager Experience Level: 8 to 12+ years Job Location: Bangalore Key Responsibilities: - Drive the Data Science initiatives in the product roadmap Collaborate with cross-functional teams to deliver ML and AI-driven solutions, including traditional models, LLMs, Generative AI, and Computer Vision projects. Support model development, evaluation, and deployment in a production-grade environment. Engage actively in data exploration, feature engineering, and model refinement Participate in discussions with engineering (data and software) and product managers, ensuring technical feasibility and business alignment. Mentor and groom the team to become efficient data scientists Conduct the training sessions for the team to be on top of the technology trends in the market Take ownership of assigned deliverables and demonstrate independent problem-solving and execution skills. Stay updated with the latest advancements in AI/ML and proactively apply learnings to ongoing work. Candidate Requirements :- Bachelors or Masters degree in computer science, Data Science, Statistics, Engineering, or a related field. 8 to 12+ years of experience in applied data science in verticals of heterogeneous datasets Strong programming skills in Python and experience with libraries like scikit-learn, pandas, TensorFlow, and PyTorch. Hands-on experience in Traditional ML, Generative AI, NLP, Statistics, and LLMs. Experience in Agentic AI is a plus. Excellent communication skills, especially in cross-team settings with engineering or product stakeholders. Experience in leading a team of data scientists Demonstrated curiosity, initiative, and drive to solve diverse problems. Thanks & Regards, Salim (Human Resources)

Required Skills: Absolute clarity in OOP fundamentals and Data-Structures Must have hands-on experience in Data Structure like List, Dict, Set, Strings, Lambda, etc Must have hands-on experience in working with Spark, Hadoop Excellent written and verbal communication and presentation skills Roles and responsibilities: Maintain and improve existing projects Collaborate with the technical team to develop new features and troubleshoot issues Lead projects to understand the requirements and distribute work to the technical team Follow the project/task timelines and quality.

Responsibilities: * Design and implement AI solutions using GML, Neo4J, ArangoDB, LangChain, LLamaIndex, RAG. * Collaborate with cross-functional teams on ML projects with Python, PySpark, Pytorch, R, SQL.