889 Pandas Jobs - Page 6

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.

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 Large Language Models Good to have skills NA Minimum 18 year(s) of experience is required Educational Qualification 15 years full time education SummaryAs an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with a proper cloud or on-prem application pipeline of production-ready quality. You will apply GenAI models as part of the solution, incorporating deep learning, neural networks, chatbots, and image processing into your workday. Roles & Responsibilities- Expected to be a SME with deep knowledge and experience.- Should have influencing and Advisory skills.- Engage with multiple teams and responsible for team decisions.- Expected to provide solutions to problems that apply across multiple teams.- Provide solutions to business area problems.- Contribute to the development of innovative AI/ML solutions.- Collaborate with cross-functional teams to implement AI models effectively.- Stay updated on the latest AI/ML trends and technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of AI/ML algorithms and techniques.- Experience with cloud AI services and application pipelines.- Knowledge of deep learning, neural networks, and image processing.- Hands-on experience in developing AI applications.- Familiarity with GenAI models and their application. Additional Information- The candidate should have a minimum of 18 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full-time education is required. Qualification 15 years full time education

Job Title: Lead Data Scientist Location: Chennai Reports To: CEO Job Summary: We are seeking a highly skilled and experienced Data Scientist with 6+ years of hands-on experience in data science, analytics, and stakeholder engagement. The ideal candidate should have strong expertise in Python , Tableau , Snowflake , Machine Learning, Statistical testing and should be comfortable driving business insights through storytelling and daily interactions with stakeholders. Key Responsibilities: Design, build, and deploy scalable machine learning models to solve complex business problems Write and optimize complex SQL queries, particularly on the Snowflake platform Develop insightful dashboards and visualizations using Tableau Conduct data exploration, cleaning, and transformation using Python & R and relevant libraries (Pandas, NumPy, Scikit-learn, etc.) Perform A/B testing & other statistical techniques Translate analytical insights into clear, compelling stories and recommendations for stakeholders Collaborate cross-functionally with product, engineering, and business teams to understand data needs and deliver solutions Present findings and recommendations to both technical and non-technical stakeholders regularly Requirements: 6+ years of professional experience in data science or advanced analytics Strong proficiency in Python for data manipulation, analysis, and modelling Proven experience in building dashboards and reports using Tableau Expertise in writing complex SQL queries , especially on Snowflake Solid understanding of machine learning techniques, statistical tests and model deployment best practices Excellent communication and storytelling skills to convey data-driven insights Comfortable working closely with stakeholders daily to gather requirements and present findings

Job Role: AI Engineer Experience: 5-8 years Location: Bangalore, India Type of Employment: Full-time, Hybrid About Cognizant Join a rapidly growing consulting and IT services Fortune 500 company with around 350,000 employees worldwide, a very flexible international business, customers that are leaders in their respective sectors, and a high level of commitment. About CAIL/ Evolutionary AI team (LEAF) : The Cognizant AI Labs were created to pioneer scientific innovation and bridge the gap to commercial applications. The AI Labs collaborate with institutions, academia and technology partners to develop groundbreaking AI solutions responsibly. The Lab’s mission is to maximize human potential with decision AI, a combination of multi-agent architectures, generative AI, deep learning, evolutionary AI and trustworthy techniques to create sophisticated decision-making systems. Through scientific publications, open-source software, AI for Good projects and the Cognizant Neuro® AI decisioning platform and Multi-Agent Accelerator, the AI Labs support our goal of improving everyday life. Your role You are an experienced data scientist and Python developer with deep experience in multiple technologies; you are driven, curious and passionate about your work; you are innovative, creative and focused on excellence; and you want to be part of an ego-free work environment where we value honest, healthy interactions and collaboration. Key responsibilities: Be customer advocate that implement our Neuro AI offering. Design, develop, and implement advanced AI models, with a focus on generative AI, agents, and foundation models for enterprise Build and maintain AI pipelines, experimentation frameworks, and reusable components for rapid prototyping and scaling. Experiment with multi-agent systems framework to create context-aware, goal driven agents integrated into workflows. Consistently deliver high-quality software and seek and develop innovative methods and processes and keep up to date on latest trends, tools and advancements in AI in the area of Evolutionary AI Collaborate with cross-disciplinary teams to conceptualize and develop AI based solutions and demos. Contribute to research publication of research and actively engage in open-source communities Assist in preparing internal technical documents, presentations, etc. Work in a highly collaborative, fast-paced environment with your peers on the Cognizant AI Labs team Your profile: Bachelor’s/Master’s in Computer Science, Data Science, or related Engineering field with emphasis on AI/EA, software development and algorithm design. 3+ years of experience in AI/ML engineering role preferred in a enterprise, research or innovation lab setting. Demonstrated experience with AI frameworks like LangChain, HuggingFace, OpenAI, Anthropic etc. Strong programming and engineering skills in Python, Numpy, Pandas, Keras, TensorFlow, PyTorch, Scikit-learn, Jupyter Notebooks, GitHub etc. Solid understanding of AI agent frameworks and strong interest in agentic AI research Active contributor to GitHub or similar platforms demonstrating AI projects, open-source contributions or published research. Ability to rapidly work with minimal supervision on projects involving both small and large teams Ability to work autonomously and prioritize multiple tasks Cloud environments for processing big data (AWS, Azure, Google cloud) Deep knowledge of relational, structured, semi-structured and unstructured data systems, and the experience to know when to use each type of system. Familiarity with modern commercial software development: unit tests, code reviews, secure and clean code. Excellent verbal and written communication skills in English Preferred/Highly Desirable Qualifications: Experience with RESTful services, JSON and XML metadata, Docker containers. Experience with machine learning, evolutionary algorithms a plus. Knowledge of and an appreciation for open source projects, design patterns, and enterprise architecture patterns. Research mindset with experience in publishing research work Experience in working in IT service, consulting, or client-facing roles Familiarity with cloud platforms and enterprise AI solution deployment Continuous learner with demonstrated passion for R&D and think long-term.

Job Role: Data Scientist Experience: 5-8 years Location: Bangalore, India Employment Type: Full Time, Hybrid. About Cognizant Join a rapidly growing consulting and IT services Fortune 500 company with around 350,000 employees worldwide, a very flexible international business, customers that are leaders in their respective sectors, and a high level of commitment. Cognizant Advanced AI Lab / Neuro AI team The Cognizant AI Labs were created to pioneer scientific innovation and bridge the gap to commercial applications. The AI Labs collaborate with institutions, academia and technology partners to develop groundbreaking AI solutions responsibly. The Lab’s mission is to maximize human potential with decision AI, a combination of multi-agent architectures, generative AI, deep learning, evolutionary AI and trustworthy techniques to create sophisticated decision-making systems. Through scientific publications, open-source software, AI for Good projects and the Cognizant Neuro® AI decisioning platform and Multi-Agent Accelerator, the AI Labs support our goal of improving everyday life. Your role: As a data scientist and software engineer you will develop the Neuro AI platform and use it on a variety of projects related to optimizing data-driven decision making. You are a data scientist, Python developer and AI researcher with knowledge in multiple technologies; you are driven, curious and passionate about your work; you are innovative, creative and focused on excellence; and you want to be part of an ego-free work environment where we value honest, healthy interactions and collaboration. Key responsibilities: Design, implement and deploy software applications that analyze datasets, train predictive and prescriptive models, assess uncertainties and interactively present results to end users Monitor and analyze the performance of software applications and infrastructure Collaborate with cross-functional teams to identify and prioritize business requirements Research, design and implement novel AI systems to support decision-making processes Work with the research team to publish papers and patents Communicate research findings to both technical and non-technical audiences Provide guidance on our Neuro AI offering and AI best practices Work in a highly collaborative, fast-paced environment with your peers on the Neuro AI platform and research teams Your profile: PhD or Master’s in Data Science, Computer Science, Statistics, Mathematics, Engineering or related field 5-8 years of experience in artificial intelligence, machine learning, data science and software engineering Strong programming skills in Python with Pandas, Numpy, TensorFlow, PyTorch, Jupyter Notebook, GitHub Experience with handling large datasets, data engineering, statistical analysis, and building predictive models Experience developing AI software platforms and tools Knowledge of data visualization tools (e.g. Matplotlib, Tableau, ) Knowledge of Generative AI and LLMs is a plus Utilize cloud platforms for data processing and analytics, optimize cloud-based solutions for performance, cost, and scalability Strong problem-solving and analytical skills Strong attention to detail and ability to work independently Ability to leverage design thinking, business process optimization, and stakeholder management skills

Skill: Generative AI Architect Experience: 5-14 years Location: Bangalore, India About Cognizant Join a rapidly growing consulting and IT services Fortune 500 company with around 350,000 employees worldwide, a very flexible international business, customers that are leaders in their respective sectors, and a high level of commitment. About CAIL: The Cognizant AI Labs were created to pioneer scientific innovation and bridge the gap to commercial applications. The AI Labs collaborate with institutions, academia and technology partners to develop groundbreaking AI solutions responsibly. The Lab’s mission is to maximize human potential with decision AI, a combination of multi-agent architectures, generative AI, deep learning, evolutionary AI and trustworthy techniques to create sophisticated decision-making systems. Through scientific publications, open-source software, AI for Good projects and the Cognizant Neuro® AI decisioning platform and Multi-Agent Accelerator, the AI Labs support our goal of improving everyday life. Role : As a Lead GenAI Architect you will design, implement and deliver cutting-edge solutions in the field of Generative Artificial Intelligence (GenAI). You are a dynamic individual who is passionate about driving the adoption of AI solutions at scale and thrives in engaging with CxO level executives. Engage with CxO-level stakeholders to understand business priorities and articulate how Generative AI solutions can create strategic value. Provide thought leadership by sharing insights, trends, and best practices in the Generative AI landscape across industries. Collaborate with cross-functional teams including AI Engineers, Data Scientists, SMEs, and business leaders to identify, design, and pilot high-impact GenAI use cases. Conduct feasibility assessments for use cases, including alignment with business strategy, technical viability, risk analysis, and ROI evaluation. Drive architecture decisions balancing build vs. buy vs. boost strategies and ensure scalability, flexibility, and cost-efficiency in GenAI solution design. Develop and maintain end-to-end GenAI architectural strategies, leveraging modern cloud-native and hybrid platforms. Evaluate and recommend appropriate AI frameworks, toolkits, APIs, and platforms that align with business needs and technology standards. Identify, communicate, and mitigate technical risks associated with GenAI solution design and deployment. Review solution architectures and implementation plans to ensure they meet performance, security, compliance, and maintainability requirements. Define and implement governance and monitoring frameworks to track GenAI model performance, usage patterns, ethical considerations, and reliability over time. Foster a culture of scientific inquiry, encouraging hypothesis-driven development and data-backed decision-making in GenAI experimentation. Develop internal knowledge assets Champion responsible AI Job Description: Bachelor's or Master's degree in computer science, data science, or a related field. Proven experience in architecting and implementing AI solutions, with a focus on Generative Artificial Intelligence. Strong understanding of AI platforms, tools, and frameworks, and the ability to recommend suitable options based on client needs. Excellent communication and interpersonal skills, with the ability to engage with CxO level executives and articulate complex technical concepts in a business context. Demonstrated ability to lead and collaborate with cross-functional teams in the design and deployment of AI solutions. Knowledge of responsible AI practices and ethical considerations.

Greetings from Newt Global Good day!! Job Title: Senior Python developer Experience: 2+ years Location: Chennai Work location: Chennai (5 days WFO) Domain: Product development Notice Period: Immediate to 15 days Key Responsibilities: Strong understanding of Python frameworks (Flask) and libraries (e.g., Pandas, NumPy, Scikit-learn). Proficiency in SQL and experience with databases like PostgreSQL/ Oracle (any other SQL databases) Experience with cloud services (AWS, Azure, or GCP) and containerization (Docker, Kubernetes) Added Advantage Demonstrated problem solving /Algorithms / Design patterns / Hackathon etc Good to have Machine learning, AI, Data science exposure (Scikit-learn, TensorFlow, PyTorch) Product development experience is preferred Qualifications: 2+ years of professional experience in Python backend development. Experience with RESTful APIs and microservices architecture. Bachelor's degree in Computer Science, Computer Engineering, or a related field. Interested Candidates Share your updated CV " elakkiyam@newtglobalcorp.com" Regards, Elakkiya M ________________________________________ Sr Technical Recruiter | Newt Global Email: elakkiyam@newtglobalcorp.com Join my professional network by clicking here: https://www.linkedin.com/in/lucky157

Greetings from SwaaS! Role: ETL Developer Experience: 5+ years Location: Guindy, Chennai (On-site) Immediate Joiners preferred Mandatory Skills: 8+ years in ETL development, with 4+ years of hands-on AWS PySpark scripting. Strong experience in AWS services: S3, Lambda, SNS, Step Functions. Expertise in PySpark and Python (NumPy, Pandas). Ability to work independently as an individual contributor. Solid understanding of AWS-based data pipelines and solutions. Good to Have: Experience processing large volumes of semi-structured and structured data. Familiarity with building data lakes and Delta Lake configurations. Knowledge of metadata management, data lineage, and data governance principles. Proficiency in cost-efficient computing and building scalable data integration frameworks. Experience with MWAA (Managed Workflows for Apache Airflow). Soft Skills: Strong communication skills for engaging with IT and business stakeholders. Ability to understand challenges and drive effective data delivery.

Immediate Openings for Data Analyst - Mumbai - Contract to hire Experience: 6+ Years Skill: ETL PYTHON Location: PAN INDIA Notice Period: Immediate Employment Mode: Contract to hire Working Mode: Hybrid Job Description: Looking for 6+ years of Experiece candidate working on Data and Analytics. Advance working knowledge and exp with relationship database management system in designing schema, SQL Authoring and performance oprimization. Hands-on Experience on Snowflake is highly desirable Can write complex queries, views and Stored Procedures. Should must have hands-on experince on Python (NumPuy, Pandas etc.) Should must have working knowledge of ETL using any ETL tool such as Infotmatica. Technical expertise and problem solving skills. Excellent communication skill and presentation skill

Role & responsibilities Direct Responsibilities Understand business requirement from business analyst, users and should have analytical mind to understand existing process and purpose better solutions Work on TSD designs, development, testing, deployment, support Suggest and implement innovative approach. Should be adaptable to new technology or methodology Contributing Responsibilities Contribute towards knowledge sharing initiatives with other team members Contribute to documentation of solution and configurations of the models Technical & Behavioral Competencies Mandatory 3+ years of experience in Corporate and Institutional Banking IT, with a full understanding of the Corporate Banking and/or Securities Services activity. Good understanding of AML monitoring tools and data needed for AML detection models. Good understanding of Data Analysis and Data Mapping processes. Extensive experience in working with functional and technical teams, defining requirements (mainly technical specification), establishing technical strategies, and leading the full life cycle delivery of projects. Experience in Data-Warehouse architectural design providing efficient solutions in Compliance AML data domains. Experience in Python developments. Excellent communication skills with the ability to explain complex technical issues in a simple concise manner. Strong coordination and organizational skills. Multi-tasking capabilities Preferred candidate profile

Role & responsibilities Expertise in Oracle database and SQL programming Proficiency in writing Python programming Good knowledge for development using Python data frames Working experience on PySpark Strong problem-solving skills Excellent communication and collaboration skills Ability to work independently and as part of a team Experience in implementing DevOps practices Experience with data modeling and database design Implementation knowledge in EDA, Machine learning (models as linear regression, logistic regression/classification, KNN, SVM etc.), Deep learning (NLP, Computer vision, GAN, Neural networks), Reinforcement learning, Statistical learning, MLOps is added advantage Knowledge of data visualization Stay up-to-date with emerging trends and technologies in data engineering and recommend new tools and techniques to improve our data infrastructure Good knowledge on ELK, Scala programming, Kubernetes/Docker. Have knowledge of data visualization Preferred candidate profile

Engineering Manager - Intelligent Automation We are looking for an enthusiastic RPA & Intelligent Automation professional to join the ranks of our newly founded CoE. Help us meet increasing demand from the business, support our rapidly growing portfolio of automation and make an impact across every business area at Booking.com. We look at our team as a service provider for the entire company, operating with a large degree of autonomy and enterpreneurship B.Responsible Naturally oriented towards improving efficiencies Seeking accountability from themselves and others Compassionate collaborator with a deep sense of comradery Willingness to be cross-functional, pick up new skills and cover new ground with/for the team Striving for continuous improvement and high quality in their work Strong work ethic and high spirit Keen to understand and solve real world problems through technology B.Skilled Technology : 10+ years of experience developing in Blue Prism CS, Engineering or similar university background is a MUST HAVE Blue Prism certification is a MUST HAVE Knowledge of Blue Prisms architectural/infrastructure components Proficiency in core Python libraries like pandas,NumPy etc Exposure to AI/ML frameworks like Tensorflow,PyTorch,scikit learn etc Understanding of NLP techniques like text summarization,sentiment analysis,Named entity recognition etc is good to have In-depth understanding of AWS components RDS, EC2, S3, IAM, CloudWatch, Lambda,Sagemaker, VPC is good to have Experience with VAULT, PASSPORT, Gitlab for UAM / Config Management Exposure to Terraform code for deploying AWS services is good to have Professional experience with SQL, .NET, C#, HTTP APIs and Web Services Experience designing, developing, deploying and maintaining software Experience working in a scrum/agile environment Excellent communication skills in English People Leadership : Inspire and motivate multiple cross technology teams Excellent communicator with strong stakeholder management experience, good commercial awareness and technical vision You are a humble and thoughtful technology leader, you lead by example and gain your teammates respect through actions, not the title Directly manage engineers Lead by example by taking ownership, being proactive and collaborating Nurture, grow and develop engineering talent in the team Foster a great culture that innovates, work together as a team, partner with other Booking.com com teams and roles and celebrates unified success Respect the Booking.com values and use them as a guide to the way we work. Architecture & Product Strategy : Contribute to product strategy for Automation systems architecture Define, shape and deliver the roadmap Build new products, processes and operational plans Negotiate on the strategic importance of own product roadmap features Drive innovation in the team Collaborate with technical leads, architects, product managers and key individuals B.offered Contributing to a high scale, complex, world-renowned product and seeing real-time impact of your work Working in a fast-paced and performance-driven culture Career advancement via online and on-the-job training, Hackathons, conferences and active community participation Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com