Job description CPU Performance Validation Engineer THE ROLE: The person will be part of AMDs CPU Performance Validation team. This team is part of AMDs global CPU Performance teams and plays a critical role in next generation AMD CPU design. Involves having deep understanding of existing AMD X86 CPU architecture and microarchitecture ranging from CPU pipeline stages to various complex features and structures, debugging performance issues of RTL, giving feedback to design team for latest gen CPU in pre-silicon and emulation environment. We highly encourage people with a creative bent of mind and with a natural ability to dive into the details. This team is a perfect place for people who can understand the present and envision the future. If you find yourself to be a person who wants to go that extra mile to refine an existing process and also understands the opportunities to make it better, if you are the one who has innovative ideas in your brain waiting to find a proper stage to come out, we can offer you the perfect ground for that. THE PERSON: Should have excellent inter-personal, communication skills and ability to work in a fast-paced exciting environment. Continuous learning has always been the moto in this ever changing industry. An ideal person for this role should be a self-learner and always ready to upgrade his/her skills to stay abreast with the technology. The team looks for superstars but also believes in nurturing you into one. Collaboration is the key to success. Ideal candidate should learn at a great pace, deliver what is expected and also share your learning in the team to help the overall growth. It s always We before Me in the team KEY RESPONSIBILITIES: Responsible for building infrastructure for performance verification and verify performance of X86 processor. Writing specific targeted tests to measure the performance of the processor Involves having a deep understanding of processor micro-architecture and triaging performance issues in RTL and simulator Skillset Debug triage of failures from simulation and emulation environment for CORE or sub level regressions. Writing automatized triages in Perl/Ruby and creating tools using perl/ruby or AMD verification methodology (primarily in C++) to enhance the functional debug and triage process. On a need basis, work on Post-Si bug recreation PREFERRED EXPERIENCE: Experience: 2-5 years experience in processor/ASIC performance correlation. Experience in micro-architecture testing for modern high-performance processors. Experience in writing tests and building infrastructure that tests performance of modern processors. Experience in application performance analysis Programming/Scripting Skills C, C++, Perl, Python. Solid background and understanding of Digital Design, RTL design , improving model performance and Processor Architecture Strong troubleshooting, analytical and debug skills. Prior experience in performance correlation of Processor subsystems is a plus. Excellent knowledge of computer architecture with relevant research and project work or industry experience Strong programming skills (C/C++ and assembly) Basic knowledge of Verilog ACADEMIC CREDENTIALS: Bachelors/Masters in Computer Science/Electrical/Electronics Engineering with relevant course and research work LOCATION: Bangalore #LI-Hybrid #LI-RR1 AMD does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services. AMD and its subsidiaries are equal opportunity employers and will consider all applicants without regard to race, marital status, sex, age, color, religion, national origin, veteran status, disability or any other characteristic protected by law. EOE/MFDV Benefits offered are described: AMD benefits at a glance . Role: Post Silicon Test Engineer Industry Type: Electronic Components / Semiconductors Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate PG: Any Postgraduate Key Skills C++ASICVerilogDebuggingPerlTroubleshootingRubyGamingP

Job description Undergraduate degree in technology, mathematics or engineering Self-starter and ability to work collaboratively in a highly autonomous squad team environment delivering value wins Ability to take initiative and apply creativity in solving technical challenges Extensive experience in .Net, CI/CD, Frontend exp (nice to have) C#, .Net 6, .Net Core or .Net Framework, REST APIs, JSON,XML, and XSD In-depth experience with SQL Server and multi-tier applications Excellent oral and written communication skills Mastery in source control (Bitbucket/GitHub, pre/post-receive hooks, branching strategies, pull requests, peer review) Solid agile concepts, Scrum, Kanban, baby steps, MVP (Minimum Viable product) Ability to write unit tests, integration tests with different frameworks. Solid understanding of BDD (Behaviour Driven development) TDD (Test Driven development) Strong debugging skills to troubleshoot issues related to application logic, data flow and multi-threaded processes Nice to have: Atleast 3 years Hands on Development experience in C# .Net, SSRS, SSIS, Powershell, Python. Ability to understand complex queries in SQL, and to write new queries, functions and procedures. Infrastructure management would be added advantage Working knowledge of Elastic Search functionality is desirable. Experience with containers, Docker, Docker compose, Kubernetes, Helm Experience in one or more scripting languages Javascript, Powershell, Bash, Ruby, etc Web based UI framework experience ASP.Net MVC, Angular, React etc Experience with production deployments, server maintenance activities and working on applications in a High Availability (99.999% uptime) environment Good understanding and experience of DevOps and CI/CD best practices Experience with Git, GitHub and the Atlassian tool suite (Jira, Bitbucket, Confluence, Bamboo) Message Queue and Event Broker experience Solace, WebSphere, Rabbit MQ, etc Service oriented architecture (SOA), Event driven architecture Serverless API Mesh Cloud computing concepts, IaaS, PaaS, SaaS (GCP preferable) Event lifecycle management (Observability and application) from inception to storage and analysis/alerting (Dynatrace and Splunk) Role: Full Stack Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills SOAXMLSSRSDebuggingJavascriptAgileJSONSSISSQLPython

Job description Navan is looking for a Data Engineer to join our growing team. Based out of the Bangalore office, you will be working within our world-class data organization to help modernize and scale our data warehouse to power our data-driven organization and support our rapidly evolving and growing data needs. You will work within a modern data stack of AWS, Fivetran, Airflow, DBT, Snowflake, Atlan, and Monte Carlo to build and maintain a first-class data warehouse. You are someone who can operate at a company that grows as fast as ours by being able to deal with multiple moving pieces while still holding up quality, long-term thinking, and delivering value to our customers. What Youll Do: Working closely with our data analyst, product, and engineering teams, you ll design and develop our data warehouse models to create rich, usable data stores Identify and implement tests and monitoring to ensure data quality and reliability Create the definitions and metrics for a single source of truth to fuel all company decision-making Define best practices in data models and development Continuously find ways to improve data self service as a product and lower the amount of effort our end users spend in getting answers What Were Looking For: 5+ years of work experience in data engineering/data warehousing/analytics engineering 3+ years of experience building and maintaining high-scale ELT with cloud data warehouses ideally with Snowflake. Experience in dbt core and AWS Skilled in CI/CD for seamless development automation Proficient in SQL and Python Demonstrated experience in data modeling (any methodology) and implementation Role: Data Engineer Industry Type: Travel & Tourism Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills AutomationData modelingData qualityData AnalystData warehousingAWSAnalyticsMonitoringSQLPython

Job description "> Home / Home / Careers / Careers / Mid Data Scientist Mid Data Scientist Introduction We are looking for 5+years experienced candidates for this role. Job Description Strong knowledge of statistical modeling, machine learning, deep learning and GenAI. Proficiency in Python and experience optimizing code for performance. Experience with data preprocessing, feature engineering, data visualization and hyperparameter tuning. Solid understanding of database concepts and experience working with large datasets. Experience deploying and scaling machine learning models in a production environment. Familiarity with machine learning operations (MLOps) and related tools. Good understanding of Generative AI concepts and LLM finetuning. Excellent communication and collaboration skills. Bachelors or Masters degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Responsibilities include: Lead the development and deployment of machine learning/deep learning models to address key business challenges. Apply statistical modeling, data preprocessing, feature engineering, machine learning, and deep learning techniques to build and improve models. Have expertise in at least two of the following areas: computer vision, predictive analytics, natural language processing, time series analysis, recommendation systems. Expertise in GenAI models is a must. Design, implement, and optimize data pipelines for model training and deployment. Experience with any one of the model serving frameworks (e.g.,TensorFlow Serving, TorchServe, KServe, or similar). Design and implement APIs for . This is to notify jobseekers that some fraudsters are promising jobs with Reflections Info Systems for a fee. Please note that no payment is ever sought for jobs in Reflections. We contact our candidates only through our official website or LinkedIn and all employment related mails are sent through the official HR email id. for any clarification/ alerts on this subject. Apply Now Role: Full Stack Data Scientist Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceComputer visionCloud computingGCPAnalyticalArtificial IntelligenceMachine learningNatural language processingSQLPython

Job description At Arctic Wolf, were redefining the cybersecurity landscape. With our employee Pack members, spread out globally, committed to setting new industry standards. Our accomplishments speak for themselves, from our recognition in the Forbes Cloud 100 , CNBC Disruptor 50 , Fortune Future 50 , and Fortune Cyber 60 to winning the 2024 CRN Products of the Year award. We re proud to be named a Leader in the IDC MarketScape for Worldwide Managed Detection and Response Services and earning a Customers Choice distinction from Gartner Peer Insights . Our Aurora Platform also received CRN s Products of the Year award in the inaugural Security Operations Platform category. Join a company that s not only leading, but also shaping, the future of security operations. About the Role The Arctic Wolf security operations platform ingests and processes upwards of 250 billion events a day from a wide variety of on-premise devices and cloud platforms. The security pipeline is a distributed system of loosely-coupled micro-services that constitute our real-time analysis and threat detection systems. These services distill the incoming events into actionable intelligence that our Concierge Security Teams use to protect customers. We are growing rapidly, with our data volume increasing ten-fold roughly every two years. We are looking for a Principal Developer to join our pack and evolve the capabilities of our security platform. Responsibilities Create and scale high-performance services in a real-time threat analysis pipeline Architect, design, develop, test and deliver software in an agile environment Provide technical and professional leadership for your team Identify, collaborate and influence multiple teams or organizations to achieve outcomes Proactively identity issues that could become future concerns and plan resolution Routinely present to the Executive Team Our Technology Stack: Golang, Python, Java, Docker, Amazon Web Services (AWS), Kubernetes or ECS, Linux, React/Typescript About You: 15+ years of hands-on experience. Excited to work at the intersection of Big Data and the Cybersecurity problem spaces Expert in building high performance, scalable and highly available systems Love coding Expert level knowledge of services on cloud computing platforms (e.g, AWS, Azure, GCP) Expert on distributed systems and microservices (edited) About the Company At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace USA (2021-2024), Best Places to Work - USA (2021-2024), Great Place to Work - Canada (2021-2024), Great Place to Work - UK (2024), and Kununu Top Company - Germany (2024). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 7,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand globally and enhance our technology, Arctic Wolf remains the most trusted name in the industry. Our Values Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion, and truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that by protecting people s and organizations sensitive data and seeking to end cyber risk we get to work in an industry that is fundamental to the greater good. We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance. See more about our Pack Unity here . We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community. We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities. All wolves receive compelling compensation and benefit

Job description Job Title: Product Support Specialist Location: Remote Employment Type: Full-Time Experience Level: 1-3 years About House of EdTech At House of EdTech, we are redefining professional growth through world-class, flexible, and impactful education. As the leading edtech company dedicated to empowering working professionals, our mission is to help individuals upskill, enhance productivity, and accelerate their careers through advanced, hands-on learning experiences. With a learner-centric approach, cutting-edge technology, and industry-relevant content, we enable professionals to thrive in todays dynamic work environment. About the Role Were looking for a tech-savvy, learner-first Product Support Specialist who thrives at the intersection of education, technology, and customer success. You'll be the go-to person for resolving learner queries, supporting live sessions, tracking engagement data, and helping shape educational content that improves the learning experience. This role is ideal for someone who enjoys real-time problem-solving, collaborating across teams, and using modern tools to support high-impact learning. What You’ll Do Act as the first point of contact for learners during live sessions, resolving doubts in real time with your camera on when needed. Provide prompt responses to live queries, especially during evening and weekend peak hours. Collaborate with support, tech, data, content, and sales teams to streamline learner experience and close feedback loops. Track and manage learner data such as attendance, feedback, and session engagement using: Google Sheets (advanced formulas, pivot tables) Google Forms for feedback collection Google Docs for documentation and internal notes Help build learner-facing materials: Solution videos, session notes, slide decks (Canva/PPT), and FAQs Organize and maintain a repository of common learner queries Review recorded sessions for quality assurance and learner experience gaps. Support new users and internal team members through training and onboarding. Use AI tools (ChatGPT, Claude, Gemini, Perplexity, etc.) to optimize support and content-related tasks. What You’ll Need 1–3 years of experience in support, learning ops, education, or customer-facing roles. Confident communicator—comfortable speaking on camera during live sessions. Willingness to work evenings and weekends as needed during live learning. Strong working knowledge of: Google Sheets, Forms, and Docs Canva for presentations and visuals AI tools and platforms to assist with: SQL, Excel, Power BI, Tableau, Python, Machine Learning (basic level) Bonus Points For Prior experience in teaching, training, or peer learning environments. Exposure to LMS platforms and creating educational or support content. Experience managing learner communication workflows or CRM systems. Portfolio, GitHub, or content samples showing writing, training, or support work. Compensation Up to 25,000/month during 3-month probation. We will train you for the role. 25,000 – 40,000/month + performance-based incentives post probation What We Offer Remote-first culture with flexibility and autonomy. Cross-functional exposure to product, content, data, and learner success teams. Access to cutting-edge AI tools and internal upskilling resources. A mission-driven, high-growth environment that puts learners first. Role: Product Analyst Industry Type: Education / Training Department: Product Management Employment Type: Full Time, Permanent Role Category: Product Management - Technology Education UG: B.Tech/B.E. in Any Specialization Key Skills Skills highlighted with ‘‘ are preferred keyskills SQL Power BiPython

Job description Job description Role Name :- Full Stack Developer - SDE 1 Responsibilities Design, implement, and ship user-centric features spanning frontend, backend, and database systems under guidance. Define and implement RESTful/GraphQL APIs and efficient, scalable database schemas. Build reusable, maintainable frontend components using modern state management practices. Develop backend services in Node.js or Python, adhering to clean-architecture principles. Write and maintain unit, integration, and end-to-end tests to ensure code quality and reliability. Containerize applications and configure CI/CD pipelines for automated builds and deployments. Enforce secure coding practices, accessibility standards (WCAG), and SEO fundamentals. Collaborate effectively with Product, Design, and engineering teams to understand and implement feature requirements.. Own feature delivery from planning through production, and mentor interns or junior developers. Qualifications & Skills 1- 3 years of experience building full-stack web applications. Proficiency in JavaScript (ES6+), TypeScript, HTML5, and CSS3 (Flexbox/Grid). Advanced experience with React (Hooks, Context, Router) or equivalent modern UI framework. Hands-on with state management patterns (Redux, MobX, or custom solutions). Strong backend skills in Node.js (Express/Fastify) or Python (Django/Flask/FastAPI). Expertise in designing REST and/or GraphQL APIs and integrating with backend services. Solid knowledge of MySQL/PostgreSQL and familiarity with NoSQL stores (Elasticsearch, Redis). Experience using build tools (Webpack, Vite), package managers (npm/Yarn), and Git workflows. Skilled in writing and maintaining tests with Jest, React Testing Library, Pytest, and Cypress. Familiar with Docker, CI / CD tools (GitHub Actions, Jenkins), and basic cloud deployments. Product-first thinker with strong problem-solving, debugging, and communication skills. Qualities we'd love to find in you: The attitude to always strive for the best outcomes and an enthusiasm to deliver high quality software Strong collaboration abilities and a flexible & friendly approach to working with teams Strong determination with a constant eye on solutions Creative ideas with problem solving mind-set Be open to receiving objective criticism and improving upon it Eagerness to learn and zeal to grow Strong communication skills is a huge plus Work Location: Hyderabad Role: Full Stack Developer Industry Type: Education / Training Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Any Specialization Key Skills Skills highlighted with ‘‘ are preferred keyskills Full Stack Rest Api DesignGITDockerTypescriptMySQLJavascriptNode.JsAPIReact.JsPythonSQL

Job description Senior Software Engineer HUB 2 Building of SEZ Towers, Karle Town Center, Nagavara, Bengaluru, Karnataka, India, 560045 Hybrid - Full-time Company Description When you are one of us, you get to run with the best. For decades, weve been helping marketers from the world’s top brands personalize experiences for millions of people with our cutting-edge technology, solutions and services. Epsilon’s best-in-class identity gives brands a clear, privacy-safe view of their customers, which they can use across our suite of digital media, messaging and loyalty solutions. We process 400+ billion consumer actions each day and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon India is now Great Place to Work-Certified™. Epsilon has also been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Positioned at the core of Publicis Groupe, Epsilon is a global company with more than 8,000 employees around the world. For more information, visit epsilon.com/apac or our LinkedIn page. Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice. https://www.epsilon.com/apac/youniverse Job Description About BU The Product team forms the crux of our powerful platforms and connects millions of customers to the product magic. This team of innovative thinkers develop and build products that help Epsilon be a market differentiator. They map the future and set new standards for our products, empowered with industry best practices, ML and AI capabilities. The team passionately delivers intelligent end-to-end solutions and plays a key role in Epsilon’s success story. Why we are Looking for You? At Epsilon, we run on our people’s ideas. It’s how we solve problems and exceed expectations. Our team is now growing, and we are on the lookout for talented individuals who always raise the bar by constantly challenging themselves and are experts in building customized solutions in the digital marketing space. What you will enjoy in this Role? So, are you someone who wants to work with cutting-edge technology and enable marketers to create data-driven, omnichannel consumer experiences through data platforms? Then you could be exactly who we are looking for. Apply today and be part of a creative, innovative, and talented team that’s not afraid to push boundaries or take risks. What will you do? We seek Software Engineers with experience building and scaling services in on-premises and cloud environments. As a Senior & Lead Software Engineer in the Epsilon Attribution/Forecasting Product Development team, you will design, implement, and optimize data processing solutions using Scala, Spark, and Hadoop. Collaborate with cross-functional teams to deploy big data solutions on our on-premises and cloud infrastructure along with building, scheduling and maintaining workflows. Perform data integration and transformation, troubleshoot issues, Document processes, communicate technical concepts clearly, and continuously enhance our attribution engine/forecasting engine. Strong written and verbal communication skills (in English) are required to facilitate work across multiple countries and time zones. Good understanding of Agile Methodologies – SCRUM. Qualifications Strong experience (3 - 8 years) in Python or Scala programming language and extensive experience with Apache Spark for Big Data processing for design, developing and maintaining scalable on-prem and cloud environments, especially on AWS and as needed with GCP cloud. Proficiency in performance tuning of Spark jobs, optimizing resource usage, shuffling, partitioning, and caching for maximum efficiency in Big Data environments. In-depth understanding of the Hadoop ecosystem, including HDFS, YARN, and MapReduce. Expertise in designing and implementing scalable, fault-tolerant data pipelines with end-to-end monitoring and alerting. Using Python to develop infrastructure modules. Hence, hands-on experience with P

Job description Job Summary: We are seeking a Senior Data Scientist with expertise in Generative AI and Natural Language Processing (NLP) to join our dynamic team. The ideal candidate will have at least 3years of experience in applying advanced Data science techniques to solve complex problems and drive innovation. You will work on cutting-edge projects that leverage AI to enhance our products and services, collaborating with cross-functional teams to deliver impactful solutions. What You'll Be Working On: 1. Develop and implement state-of-the-art generative AI models, focusing on NLP applications. 2. Analyze and preprocess large datasets to extract meaningful insights and improve model performance. 3. Collaborate with product managers, engineers, and other stakeholders to define project requirements and deliverables. 4. Design and conduct experiments to validate models, analyze results, and refine algorithms. 5. Mentor junior data scientists and contribute to building a collaborative team culture. 6. Stay updated with the latest advancements in AI and NLP, applying best practices and innovative approaches to your work. 7. Communicate complex technical concepts to non-technical stakeholders effectively. 8. Strong Python skills and hands-on experience with Lang Chain, Lang Graph, and OpenAI/Anthropic APIs Qualifications: 1. Minimum of 3years of experience in data science, with a strong focus on Generative AI and NLP. 2. Proficiency in programming languages such as Python, and experience with relevant libraries. 3. Strong understanding of machine learning algorithms, deep learning architectures, and NLP techniques. 4. Excellent problem-solving skills and a strong analytical mindset. 5. Ability to work independently and collaboratively in a fast-paced environment. 6. Strong communication skills, with the ability to convey complex ideas to diverse audiences. Send your resume to Vibha@xaigi.tech Role: Data Scientist Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Genrative Ai Data ScienceLangchainLanggraphNatural Language ProcessingDeep LearningPython

Job description Number of Openings* 1 ECMS ID Duration of contract* 6 months Total Yrs. of Experience* 8 to 10 Relevant Yrs. of experience* 5 to 8 Detailed JD *(Roles and Responsibilities) Design and implement state-of-the-art NLP models, including but not limited to text classification, semantic search, sentiment analysis, named entity recognition, and summary generation. conduct data preprocessing, and feature engineering to improve model accuracy and performance. Stay updated with the latest developments in NLP and ML, and integrate cutting-edge techniques into our solutions. collaborate with Cross-Functional Teams: Work closely with data scientists, software engineers, and product managers to align NLP projects with business objectives. deploy models into production environments and monitor their performance to ensure robustness and reliability. maintain comprehensive documentation of processes, models, and experiments, and report findings to stakeholders. implement and deliver high quality software solutions / components for the Credit Risk monitoring platform. leverage his/her expertise to mentor developers; review code and ensure adherence to standards. apply a broad range of software engineering practices, from analyzing user needs and developing new features to automated testing and deployment ensure the quality, security, reliability, and compliance of our solutions by applying our digital principles and implementing both functional and non-functional requirements build observability into our solutions, monitor production health, help to resolve incidents, and remediate the root cause of risks and issues understand, represent, and advocate for client needs share knowledge and expertise with colleagues , help with hiring, and contribute regularly to our engineering culture and internal communities. Expertise - Bachelor of Engineering or equivalent. Ideally 8-10Yrs years of experience in NLP based applications focused on Banking / Finance sector. Preference for experience in financial data extraction and classification. Interested in learning new technologies and practices, reuse strategic platforms and standards, evaluate options, and make decisions with long-term sustainability in mind. Proficiency in programming languages such as Python Java. Experience with frameworks like TensorFlow, PyTorch, or Keras. In-depth knowledge of NLP techniques and tools, including spaCy, NLTK, and Hugging Face. Experience with data handling and processing tools like Pandas, NumPy, and SQL. Prior experience in agentic AI, LLMs ,prompt engineering and generative AI is a plus. Backend development and microservices using Java Spring Boot, J2EE, REST for implementing projects with high SLA of data availability and data quality. Experience of building cloud ready and migrating applications using Azure and understanding of the Azure Native Cloud services, software design and enterprise integration patterns. Knowledge of SQL and PL/SQL (Oracle) and UNIX, writing queries, packages, working with joins, partitions, looking at execution plans, and tuning queries. A real passion for and experience of Agile working practices, with a strong desire to work with baked in quality subject areas such as TDD, BDD, test automation and DevOps principles Experience in Azure development including Databricks , Azure Services , ADLS etc. Experience using DevOps toolsets like GitLab, Jenkins Strong analytical and problem-solving skills with the ability to think critically and creatively. Communication: Excellent verbal and written communication skills, with the ability to explain complex concepts to non-technical stakeholders. Takes ownership of tasks assigned to ultimate resolution. Accuracy and timeliness of delivering solutions using the best IT standards and practices Mandatory skills* NLP, Python Desired skills* SQL, Azure Domain* Banking / Finance Approx. vendor billing rate* INR 16000/Day Precise Work Location* Kharadi, Pune Background check process to be followed: * As per client Mode of Interview: Telephonic/Face to Face/Microsoft teams* Telephonic