889 Pandas Jobs - Page 5

- Technical Lead with a total IT experience of 8-12 years. - 2+ years of experience as a Technical Lead. - Strong programming knowledge in one of the following technology areas: 1. Python: Familiarity with frameworks like FastAPI or Flask, along with datalibraries like NumPy and Pandas. 2. .NET: Knowledge of ASP.NET and Web API development. 3. Java: Proficiency with Spring or Spring Boot. - Experience with any one of the following cloud platforms and services: 1. Azure: Azure App Service or Azure Functions, Azure Storage 2. AWS: Elastic Beanstalk, Lambda, S3 - Experience with at least one of the following databases: Oracle, Azure SQL,SQL Server, Cosmos DB, MySQL, PostgreSQL, or MongoDB. - Minimum of 3 months experience in developing GenAI solutions using any LLMsand deploying them on cloud platforms. - Lead, mentor, and manage a team of developers to deliver complex ITsolutions.

Design and develop Generative AI models for specific business applications. Fine-tune and optimize large language models for performance and accuracy. Build custom pipelines to integrate generative AI into business workflows. Research and implement state-of-the-art techniques in Generative AI. Ensure ethical AI practices and compliance with relevant guidelines. Key Skills: Strong understanding of NLP and Generative AI models like GPT, BERT, or Stable Diffusion. Proficiency in Python and experience with AI frameworks like Hugging Face or OpenAI APIs. Familiarity with prompt engineering and fine-tuning techniques. Excellent collaboration and documentation skills.

Happiest Minds Technologies Pvt.Ltd is looking for Databricks Professional to join our dynamic team and embark on a rewarding career journey Assessing and analyzing client requirements related to data processing, analytics, and machine learning. Designing and developing data pipelines, workflows, and applications using the Data Bricks platform. Integrating and connecting Data Bricks with other data sources, databases, and tools. Developing and implementing machine learning models using libraries such as Scikit-learn, Tensorflow, and PyTorch. Databricks, Spark, Python, Core ML, Pipeline creation,Airflow, Snowflake

3+ years of experience in data science roles, working with tabular data in large-scale projects. Experience in feature engineering and working with methods such as XGBoost, LightGBM, factorization machines , and similar algorithms. Experience in adtech or fintech industries is a plus. Familiarity with clickstream data, predictive modeling for user engagement, or bidding optimization is highly advantageous. MS or PhD in mathematics, computer science, physics, statistics, electrical engineering, or a related field. Proficiency in Python (3.9+), with experience in scientific computing and machine learning tools (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, etc.). Familiarity with deep learning frameworks (such as TensorFlow or PyTorch) is a plus. Strong expertise in applied statistical methods, A/B testing frameworks, advanced experiment design, and interpreting complex experimental results. Experience querying and processing data using SQL and working with distributed data storage solutions (e.g., AWS Redshift, Snowflake, BigQuery, Athena, Presto, MinIO, etc.). Experience in budget allocation optimization, lookalike modeling, LTV prediction, or churn analysis is a plus. Ability to manage multiple projects, prioritize tasks effectively, and maintain a structured approach to complex problem-solving. Excellent communication and collaboration skills to work effectively with both technical and business teams.

As a Technical Lead, you will be responsible for leading the development and delivery of the platforms. This includes overseeing the entire product lifecycle from the solution until execution and launch, building the right team close collaboration with business and product teams. Primary Responsibilities: Design end-to-end solutions that meet business requirements and align with the enterprise architecture. Define the architecture blueprint, including integration, data flow, application, and infrastructure components. Evaluate and select appropriate technology stacks, tools, and frameworks. Ensure proposed solutions are scalable, maintainable, and secure. Collaborate with business and technical stakeholders to gather requirements and clarify objectives. Act as a bridge between business problems and technology solutions. Guide development teams during the execution phase to ensure solutions are implemented according to design. Identify and mitigate architectural risks and issues. Ensure compliance with architecture principles, standards, policies, and best practices. Document architectures, designs, and implementation decisions clearly and thoroughly. Identify opportunities for innovation and efficiency within existing and upcoming solutions. Conduct regular performance and code reviews, and provide feedback to the development team members to improve professional development. Lead proof-of-concept initiatives to evaluate new technologies. Functional Responsibilities: Facilitate daily stand-up meetings, sprint planning, sprint review, and retrospective meetings. Work closely with the product owner to priorities the product backlog and ensure that user stories are well-defined and ready for development. Identify and address issues or conflicts that may impact project delivery or team morale. Experience with Agile project management tools such as Jira and Trello. Required Skills: Bachelor's degree in Computer Science, Engineering, or related field. 7+ years of experience in software engineering, with at least 3 years in a solution architecture or technical leadership role. Proficiency with AWS or GCP cloud platform. Strong implementation knowledge in JS tech stack, NodeJS, ReactJS, Experience with JS stack - ReactJS, NodeJS. Experience with Database Engines - MySQL and PostgreSQL with proven knowledge of Database migrations, high throughput and low latency use cases. Experience with key-value stores like Redis, MongoDB and similar. Preferred knowledge of distributed technologies - Kafka, Spark, Trino or similar with proven experience in event-driven data pipelines. Proven experience with setting up big data pipelines to handle high volume transactions and transformations. Experience with BI tools - Looker, PowerBI, Metabase or similar. Experience with Data warehouses like BigQuery, Redshift, or similar. Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and IaC (Terraform/CloudFormation). Good to Have: Certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, TOGAF, etc. Experience setting up analytical pipelines using BI tools (Looker, PowerBI, Metabase or similar) and low-level Python tools like Pandas, Numpy, PyArrow Experience with data transformation tools like DBT, SQLMesh or similar. Experience with data orchestration tools like Apache Airflow, Kestra or similar.

BULK HIRE – CORE PYTHON AND DATA SCIENCE ENGINEERS – HYDERABAD – HYBRID MODEL WELL KNOWN IT CLIENT– FOR THEIR USA PRODUCT DEV CLIENT LOCATION : Financial District, Nanakramguda ONLY HYD CANDIDATES 2 DAYS @ OFFICE, REST OF DAYS WFH PRIYA@AXYCUBE.IN Required Candidate profile PYTHON DEVELOPERS – MAX 16 LPA- 4+ YEARS EXPERIENCE – VERY GOOD IN NUMPY, PANDAS, NUMPY AND SQL DATA SCIENCE ENGINEERS – MAX 27 LPA– 4+ YEARS STRONG EXPERIENCE IN AI, ML, DL, PYTHON, PANDAS AND NUMPY

Responsibilities: Collaborate with cross-functional teams on project requirements & deliverables. Design, develop, test & maintain Python apps using Django/Flask & AWS/Azure Cloud.

Job Description: 1+ years of Total experience Strong technical, analytical, troubleshooting, and communication skills An extensive experience with Python Experience with SQL, Postgres-SQL Experience with Git Working experience on AWS services Lambda, EC2 and Docker Proficiency with object-oriented design principles Working experience on APIs is a must Experience building and deploying production level services Keep up to date with any legislation Experience with work on Linux is an add-on Experience with Protobuf implementation in APIs is an add-on Experience on Vue js / React js testing framework

Role & responsibilities Mandatory Skill: Python, AI/ML, NLP Programming Languages: Python is particularly popular due to its extensive libraries for AI and machine learning .Proficiency in any languages such as Python, Java, R, C++, and JavaScript is essential. Machine Learning and Deep Learning: A strong foundation in machine learning algorithms (e.g., linear regression, decision trees) and deep learning techniques (e.g., neural networks) is crucial Natural Language Processing (NLP): Skills in NLP techniques like text classification, sentiment analysis, and language modeling are vital for developing chatbots and virtual assistants Data Analysis and Visualization: Ability to analyze and visualize data using tools like Pandas etc AI Frameworks and Libraries: Familiarity with frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn . Work Location: Chennai/Hyderabad/Pune/Trivandrum/Bangalore Interested candidate share me your updated resume in recruiter.wtr26@walkingtree.in

Job Description: Sr. Software Engineer (Python) Company: Karini AI Location: Pune (Wakad) Experience Required: 3 - 5 years Compensation: Not Disclosed Role Overview : We are seeking a skilled Sr. Software Engineer with advanced Python skills with a passion for product development and a knowledge of Machine Learning and/or Generative AI. You will collaborate with a talented team of engineers and AI Engineers to design and develop high-quality Generative AI platform on AWS. Key Responsibilities : Designed and developed backend applications and APIs using Python. Work on product development, building robust, scalable, and maintainable solutions. Integrate Generative AI models into production environments to solve real-world problems. Collaborate with cross-functional teams, including data scientists, product managers, and designers, to understand requirements and deliver solutions. Optimize application performance and ensure scalability across cloud environments. Write clean, maintainable, and efficient code while adhering to best practices. Requirements : 3-5 years of hands-on experience in Product development. Demonstrable experience in understanding advanced python concepts for building scalable systems. Demonstrable experience working with FastAPI server in production environment. Familiarity with unit testing, version control and CI/CD Good understanding of Machine Learning concepts and frameworks (e.g., TensorFlow, PyTorch). Experience with integrating and deploying ML models into applications is a plus. Knowledge of database systems (SQL/NoSQL) and RESTful API development. Exposure to containerization (Docker) and cloud platforms (AWS). Strong problem-solving skills and attention to detail. Preferred Qualifications : Bachelor of Engineering in Computer Science, Information Technology, or any other engineering discipline. M.Tech, M.E. & B.E-Computer Science preferred. Hands-on experience in product-focused organizations. Experience working with data pipelines or data engineering tasks. Knowledge of CI/CD pipelines and DevOps practices. Familiarity with version control tools like Git. Interest or experience in Generative AI or NLP applications. What We Offer: Top-tier compensation package, aligned with industry benchmarks. Comprehensive employee benefits including Provident Fund (PF) and medical insurance. Experience working with Ex-AWS founding team with the fastest growing company. Work on innovative AI-driven products that solve complex problems. Collaborate with a talented and passionate team in a dynamic environment. Opportunities for professional growth and skill enhancement in Generative AI A supportive, inclusive, and flexible work culture that values creativity and ownership.

About the Opportunity Job TypeApplication 16 June 2025 Title Test Analyst Department ISS DELIVERY - DEVELOPMENT - GURGAON Location GGN Level 2 Were proud to have been helping our clients build better financial futures for over 50 years. How have we achieved thisBy working together - and supporting each other - all over the world. So, join our ISS Delivery team and feel like youre part of something bigger. About your team The Investment Solutions Services (ISS) delivery team provides systems development, implementation and support services for FILs global Investment Management businesses across asset management lifecyle. We support Fund Managers, Research Analysts, Traders and Investment Services Operations in all of FILs international locations, including London, Hong Kong, and Tokyo About your role You will be joining this position as Test Analyst in QE chapter, and therefore be responsible for executing testing activities for all applications under Investment Risk & Attribution team based out of India. Here are the expectations and probably how your day in a job will look like Understand business needs and analyse requirements and user stories to carry out different testing activities. Collaborate with developers and BAs to understand new features, bug fixes, and changes in the codebase. Create and execute functional as well as automated test cases on different test environments to validate the functionality Log defects in defect tracker and work with PMs and devs to prioritise and resolve them. Develop and maintain automation script, preferably using python stack. Intermediate level understanding of relational database. Document test cases , results and any other issues encountered during testing. Attend team meetings and stand ups to discuss progress, risks and any issues that affects project deliveries Stay updated with new tools, techniques and industry trends. About You Seasoned Software Test analyst with more than 2+ years of hands on experience Hands-on experience in automating web and backend automation using open source tools (Playwright, pytest, request, numpy , pandas). Proficiency in writing and understanding db queries in various databases ( Oracle, AWS RDS) Good understanding of cloud ( AWS , Azure) Preferable to have finance investment domain. Strong logical reasoning and problem solving skills. Preferred programming language Python and Java. Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI) for automating deployment and testing workflows For starters, well offer you a comprehensive benefits package. Well value your wellbeing and support your development. And well be as flexible as we can about where and when you work finding a balance that works for all of us. Its all part of our commitment to making you feel motivated by the work you do and happy to be part of our team.

About the Opportunity Job TypeApplication 13 June 2025 Title Technical Specialist Department Technology - Corporate Enablers (CFO Technology) Location Bengaluru (Bangalore) India Reports To Senior Manager Level 4 About your team The Corporate Enablers technology function provides IT services to multiple business functions like Finance, HR and General Counsel, globally. CFO Technology collaborates with Finance and Procurement stakeholders globally to develop and support business applications that underpin all core finance processes across FIL. This includes on-premises and SaaS solutions, both in-house built and vendor provided. There is a strong focus on data analytics, workflow and automation tools to bring greater efficiency to these functions. Together with this there is continued move towards greater use of Agile and DevOps practices. CFO Technology team is a global team with people based in the UK, China, and India. About your role Join our team of enthusiastic technologists as we build the future of cloud-based Integration platform We are seeking a skilled and experienced Full stack Developer to join our team. The ideal candidate will have a strong background in API development and PLSQL Store procedures along with good understanding of Kubernetes,AWS,SnapLogic cloud-native technologies. This role requires deep technical expertise and the ability to work in a dynamic and fast-paced environment. About you Essential Skills Minimum 7 years of overall full stack (Python, Oracle/PLSQL) hands on experience of system software development, testing and maintenance Knowledge of latest Python frameworks and technologies (e.g., Django, Flask, FastAPI) Experience with Python libraries and tools (e.g., Pandas, NumPy, SQLAlchemy) Strong experience in designing, developing, and maintaining RESTful APIs. Familiarity with API security, authentication, and authorization mechanisms (e.g., OAuth, JWT) Good experience and hands-on knowledge of PL/SQL (Packages/Functions/Ref cursors) Experience in development & low-level design of Warehouse solutions Familiarity with Data Warehouse, Datamart and ODS concepts Knowledge of data normalisation and Oracle performance optimisation techniques Hands on development experience of AWS (S3, lambda, api gateway, EC2, CloudFront, Route53, Dynamo DB, vpc, subnets) Hands-on experience with Kubernetes for container orchestration Knowledge of deploying, managing, and scaling applications on Kubernetes clusters Should be able to provide technical design and architecture independently for business solutions Experience with cloud architecture and design principles, micro-services Good understanding of infra-aspects of technical solutions like storage, platform, middleware Should have clear understating on continuous integration, build, release, code quality Good understating of load balancing, disaster recovery aspects of solutions Good knowledge on security aspects like authentication, authorization by using open standards like oAuth Hands on with coding and debugging. Should be able to write high quality code optimized for performance and scale Good analytical- problem solving skills and should be good with algorithms Skills nice to have Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation). Experience with SnapLogic cloud-native integration platform. Ability to design and implement integration pipelines using SnapLogic. Experience in AI prompt engineering, Gen AI, LLM models , Agents Experience in CI/CD, TDD, DevOps, CI/CD tools - Jenkins/UrbanCode/SonarQube/ Bamboo Key Responsibilities Lead and guide a team of developers/senior developers Architect technical design of the application, document and present it to senior stakeholders Interact with senior architects and other consultants to understand and review the technical solution and direction Communicate with business analysts to discuss various business requirements Proactively refactor code/solution, be aggressive about tech debt identification and reduction Develop, maintain and troubleshoot issues; and take a leading role in the ongoing support and enhancements of the applications Help in maintaining the standards, procedures and best practices in the team. Also help his team to follow these standards. Prioritisation of requirements in pipeline with stakeholders Experience and Qualification: B.E./ B.Tech. or M.C.A. in Computer Science from a reputed University Total 8-10 years of experience with application development on Python language, API development along with Oracle RDBMS, SQL, PL/SQL Must have led a team of developers

Build and run scripts to scrape emails, phone numbers, and business data, clean and organize it, analyze insights using Python/Excel, automate workflows, and support lead generation for import-export operations.

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

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