6702 Machine Learning Jobs - Page 47

& Summary We are seeking a motivated and detailoriented Manager with experience in data science and database management to join our team as a Data Science FCC Analytics professional. In this role, you will support the development and implementation of analytical solutions to identify and prevent financial crimes within our organization Lead the development of predictive models and analytical tools for detecting and preventing financial crimes, leveraging advanced data science techniques. Analyze complex data sets to identify patterns, trends, and anomalies indicative of suspicious activities, providing strategic insights to guide decisionmaking. Collaborate closely with crossfunctional teams to design and implement innovative datadriven solutions that strengthen FCC processes and controls. Stay abreast of evolving industry regulations and best practices in FCC analytics, incorporating them into our analytical strategies. Present findings and recommendations to senior stakeholders, influencing FCC strategies and enhancing compliance measures. Qualifications Masters degree in Data Science, Statistics, Computer Science, or a related field. 212 years of proven experience in applying data science techniques, machine learning algorithms, and statistical modeling to FCC analytics within the financial services sector. Experience in leading model building activities, including feature engineering, model selection, and evaluation. Proficiency in database management systems such as SQL for advanced data analysis and manipulation. Indepth knowledge of FCC regulations, risk management principles, and compliance frameworks. Excellent communication and leadership skills, with a demonstrated ability to drive projects and collaborate effectively with diverse teams. Mandatory skill sets Data Science Preferred skill sets Data Science

We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting. ResponsibilitiesCredit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground. Qualifications2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.Excellent software engineering and programming skills, especially Python and SQL.A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.A deep understanding of using cloud computing infrastructure and data pipelines in production.Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

* If you are 5+ years experienced and Immediate joiner , please apply: https://docs.google.com/forms/d/e/1FAIpQLScorR1zEgu9FvDHO-4gjJEOPhk_2tJE6cgftARiy9rwcVcDHg/viewform 5+ years of experience as a backend or full-stack engineer with a strong backend focus Advanced proficiency in Python Practical experience integrating LLMs (e.g., RAG pipelines, agent frameworks, LangChain, LangGraph, or similar) Background in machine learning engineering is a strong plus Solid understanding of service architecture and production deployment workflows Hands-on LLM integration in production (not academic/chatbot-only experience) Expertise in designing production-grade APIs and backend services Strong knowledge of async workflows, deployment, observability, and performance *This is a software engineering role (not data science, analytics, or annotation)* Description: A complete remote role, you can use your own laptop. 8hrs/day, Mon-Fri required Eligibility: Candidates with 5+ years of relevant professional experience are eligible to apply.Must possess strong communication skills , both written and verbal.Should have proven expertise in the specific field or role being applied for. Interview Pattern: Screening Interview - 30 min on google meet Second Interview - 60 min Final Client Interview - 30 min Govt Id should be shown in all interviews and camera is a must. Timings: 8 hrs/day, Mon-Fri Salary will be competitive above the market standards and will be calculated on hourly basis. Role & responsibilities Preferred candidate profile : Immediate Joiners

We are seeking a forward-thinking and results-driven AI and Digital Applications Manager to lead the development, implementation, and optimization of AI-driven solutions and digital platforms like Salesforce and Enterprise Data Warehouse across the organization. This role will be pivotal in driving innovation, enhancing operational efficiency, and delivering exceptional digital experiences for both internal and external stakeholders Job Location: World Trade Center, Rajajinagar Working days: Monday to Saturday (Second and Fourth Saturdays off) Work timings: 9:30 am to 6:15 pm Key Responsibilities: AI Strategy & Implementation: Develop and execute the organizations AI roadmap aligned with business goals. Identify opportunities for AI/ML applications across departments (e.g., automation, predictive analytics etc). Digital Applications Management: Lead the lifecycle management of enterprise digital applications (CRM, ERP, collaboration tools, etc.). Collaborate with cross-functional teams to gather requirements, prioritize features, and ensure successful rollouts. Ensure seamless integration of AI capabilities into existing digital platforms. Project & Vendor Management: Manage AI and digital transformation projects from concept to completion. Evaluate and manage relationships with technology vendors and solution providers. Data Governance & Compliance: Ensure ethical use of AI and compliance with data privacy regulations (e.g., GDPR, HIPAA). Collaborate with data governance teams to maintain data quality and integrity. Qualifications: Bachelors or masters degree in computer science, Information Technology, Data Science, or related field. 7+ years of experience in digital applications management Strong understanding of AI/ML technologies, cloud platforms (AWS, Azure, GCP), and enterprise software like Salesforce, PowerBI, SAP etc Proven experience in managing cross-functional teams and complex digital projects. Excellent communication, stakeholder management, and problem-solving skills. Strong project management skills. Preferred Skills: Certifications in AI/ML, Agile, or Project Management (e.g., PMP, Scrum Master). Experience with tools like TensorFlow, Power BI, Salesforce, SAP, or ServiceNow. Familiarity with data visualization, RPA, and low-code/no-code platforms.

Agentic AI Automation Engineer Join Emplay to design AI workflows using LLMs & RAG for enterprise automation. 24 yrs exp. in AI, Python, SQL, prompt design preferred. Remote/Pune. 12–18 LPA. Shape next-gen AI solutions. Apply now!

Job Title: Data Scientist Location : Gurgaon Department : Data & Analytics Experience :5+ Employment Type : Full-time About Cars24 Cars24 is revolutionizing the way used cars are bought and sold in India and abroad. Our platform leverages data and technology to provide a seamless car ownership experience. We are driven by insights and fuelled by curiosity, and we aim to transform every part of the auto ecosystemfrom buying to financing to servicing. Role Overview As a Data Scientist at Cars24, you will be part of the core data team responsible for building scalable, data-driven solutions that impact millions of customers. You will work closely with product, engineering, and business teams to solve complex problems using machine learning, statistical analysis, and modeling techniques. Key Responsibilities Collaborate with cross-functional teams to understand business problems and translate them into data science solutions. Build and deploy predictive models using techniques such as regression, classification, clustering, recommendation systems, etc. Analyze large-scale structured and unstructured data to generate insights and guide business decisions. Design and implement A/B tests and causal inference models to measure the impact of changes. Monitor and improve the performance of deployed models continuously. Present analytical findings to senior leadership in a clear, concise manner. Requirements Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, or a related field. 5+ years of hands-on experience in a data science or analytics role. Strong programming skills in Python or R; familiarity with data manipulation libraries (e.g., pandas, NumPy). Experience with SQL and working knowledge of databases. Proven experience in machine learning frameworks (scikit-learn, XGBoost, TensorFlow, etc.). Familiarity with data visualization tools like Tableau, Power BI, or matplotlib/seaborn. Experience with cloud platforms (AWS/GCP) is a plus. Nice-to-Have Experience in the automotive or e-commerce domain. Exposure to real-time data processing or large-scale data pipelines. Knowledge of MLOps tools and best practices. What We Offer A fast-paced, data-first environment. Opportunity to work on high-impact projects that affect millions of customers. Competitive salary with performance-based incentives. Learning budgets, flexible work options, and a collaborative culture. Role & responsibilities Preferred candidate profile

Thank you for your interest in the opportunity. Please click on the link below to complete the virtual assessment: https://amazonadgaws.hirepro.in/registration/amazonadgaws/ad4ws/apply/?event=14696&job=58562 Once you successfully clear the assessment, you will be invited to participate in the final round scheduled for later this week. External job description Excited about robotics, and how it will be used in our everyday lives? The Amazon Consumer Robotics group is pushing the boundaries of whats possible, making the future closer than ever. Astro is Amazons first household robot to use AI and Intelligent Motion to gracefully and intuitively interact with people and spaces. It is a different kind of robot, one thats designed to help customers with a range of tasks like home monitoring and keeping in touch with family. It brings together new advancements in artificial intelligence, computer vision, sensor technology, voice and edge computing in a package thats designed to be helpful and convenient. Key job responsibilities • Work on defined set of instructions to collect ground truth data for the product development. • Perform execution and report results accurately. • Understand procedures and guidelines for new tasks / releases • Perform repetitive exercises based on the dynamic instructions without compromising on quality • Use software tools for data capture and comply with the processes of the organization on a daily basis • Be comfortable with capturing results, communicating and escalating failures and providing individual status reports and adhering to Productivity and Quality base lines. • Raising all failures/doubts related to the execution in the portal and closing the same as per the SLAs • Own the daily targets against internal and external dependencies. Kindly note role is for 11 months contract and you must be flexible for rotational shifts. Regards, Arjun

Job Description Summary GE Vernova is a leader in the global energy transition from a carbon-based power grid to a renewables-based one. Our market is growing quickly and is primed for disruption through new technologies and business models. The electric power grid is the most sophisticated machine that humankind ever designed, and it is currently going through a massive transformation. Monitoring, automation, control, advanced algorithms, and modern software technologies are used to keep the lights on for consumers, big and small, around the globe. As a part of the GE Vernova, Grid Automation R&D team, you will help develop the sophisticated control and automation systems that drive modernization of the power grid to enable the energy transition. You'll have an opportunity to work with state-of-the-art technologies such as multi-core SoC processors, Yocto Linux, cloud native software, 5G, model-to-code tools and AI/ML to develop and refine your professional skills. You will collaborate in a modern lean-agile product development environment and interact with a global R&D team to develop world class products that can literally change the world. Be part of the Energy Transition! Highly motivated engineer to work as an Intern in the area of Energy Transition and contribute to solving the challenges the electric power grid will be subjected to in the areas of Protection, Control, Substation Automation and Monitoring. Strong individual ownership on the assigned tasks and appetite for innovation/advance development is expected out of this role Job Description E ssential Responsibilities: Interns will use their skills of programming, innovation and engineering and are encouraged to implement new ideas, develop tools and applications or improvise existing methods, tools , processes and features in the projects. The role requires the interns to get in contact with stakeholders, customers and colleagues in their day-to-day job which would require interpersonal, soft and presentation skills. Responsible to complete Assignments & Projects over the course of their project duration. It is an intern led, intern run project which can be seen as a self-contained project aimed at improving and refining aspects of their skill set. Qualifications: B.Tech, M.Tech/M.E Final year student from Computer Science /Power Systems /Instrumentation / Electronics/Communications and other related streams from reputed institutes (IIT/NIT/BITS/Other reputed institutes) Demonstrated academic excellence - consistent and strong academic credentials Passion for engineering with Strong technical aptitude and an analytic approach to problem Solving Strong programming skills in C, C++, Java, Python, any scripting languages on Windows & Linux Experience of Statistical techniques, artificial intelligence (AI) and machine learning (ML), including, unsupervised learning, supervised learning, and reinforcement learning, Deep learning, large language models (LLMs). Understanding of AI/ML frameworks/workflows. Understanding MLOps principles. Knowledge of databases – relational & non-relational Good mathematical, analytical and logical abilities and their application to effective problem solving Generation of multiple alternative solutions towards problem solving, evaluating the pros and cons and justifying the best solution to be adapted Strong root causing, trouble shooting and debugging skills In depth understanding of desktop, web and cloud based application development and deployment, Awareness of Microservices architecture and tools Hands on experience with hypervisors, Virtual Machines, Containers, Dockers and related tools Experience with secure application development and cybersecurity tools and life cycle Hands on with equipment and tools such as secondary injection relay test kits, protocol analyzers and simulators, MATLAB, LabVIEW … etc Quick Learner and can develop a micro and macro understanding of the scope of work through self learning and seeking out the right resources – virtual & people Clear & Concise verbal and written communication skills Ability & rigor to clearly document and explain design, architecture, logic Understanding of Power System concepts is an added advantage A team player who can interact with all required stakeholders with ease. Desired: Prior experience (via internships, projects, trainings, certifications .. etc) in relevant areas of power systems & programming Understanding of developing and implementing ML models, such as predictive maintenance, load forecasting, etc. in the power system domain. Understanding of ML frameworks such as Tensorflow, PyTorch, Keras etc. Understanding of Linux virtualized system deployment using VM, Hypervisor (EsXi, KVM, Xen etc.), Dockers and related tools. Volunteering experience on broader community activities / projects. Understanding of industrial automation tools such as PLC programming understanding of TCP/IP communication stack and related communication protocols Understanding of Industrial & Substation automation protocols such as Modbus, DNP3, IEC 60870, IEC 61850 .. etc Additional Information Relocation Assistance Provided: No

Location: Pune Job Type: Full Time Experience: 5 to 10 years Company: Web Minds IT Solution Job Summary: We are seeking a highly skilled and experienced Senior Python Backend & Machine Learning Developer to play a pivotal role in designing, developing, and deploying robust backend services and integrating advanced machine learning capabilities into our products. The ideal candidate will possess a strong command of Python, a deep understanding of backend architecture, and practical experience in building, deploying, and maintaining machine learning models in production environments Key Responsibilities: Design, develop, and maintain highly scalable, reliable, and secure backend APIs and services using Python frameworks (e.g., Django, Flask, FastAPI). Work with various databases (SQL, NoSQL) to design efficient data models and ensure data integrity. Implement robust authentication, authorization, and security measures for backend services. Optimize applications for maximum speed and scalability, ensuring low latency and high throughput. Design, build, and maintain our containerization and orchestration solutions using Docker and Kubernetes. Implement and manage CI/CD pipelines to streamline software delivery. Develop and deploy RESTful APIs for machine learning models, enabling seamless integration with frontend and other backend systems. Build and maintain robust data pipelines (ETL/ELT) for ML model training, inference, and monitor system performance and troubleshoot issues to ensure high availability and reliability. Implement and manage MLOps practices, including model versioning, monitoring (for drift, performance), retraining pipelines, and deployment automation. Contribute to the selection and integration of appropriate ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) Stay updated with the latest trends and advancements in data science, ML, and AI Key Skills Required: Bachelor's degree in Computer Science, Information Technology, or a related field. Familiarity with Python-based frameworks like Flask , FastAPI , or Django Hands-on with deep learning frameworks such as TensorFlow , Keras , or PyTorch Understanding of machine learning algorithms , including regression, classification, clustering, and ensemble methods (e.g., Random Forest, XGBoost) Strong skills in SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB) Proficiency in data visualization tools : Matplotlib, Seaborn, Plotly, Power BI , or Tableau Extensive experience with Docker and Kubernetes . Experience working with APIs , web services, and application integration Solid understanding of CI/CD principles and tools. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud . Excellent problem-solving and troubleshooting skills. Practical experience with ML libraries: Scikit-learn , XGBoost , LightGBM , etc. Proficiency in data manipulation and analysis using NumPy , Pandas , and Matplotlib/Seaborn Strong communication and teamwork skills.

Role & responsibilities Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product/solution capabilities, and work closely with the engineering team in the development of data solutions Experience in combining multiple modalities and integrate them into a unified system capable of handling multiple types of data, including text, video inputs,and audio. Must have real time experience in large Green and Brown field AI and Computer Vision projects using NVIDIA, Intel Core or similar chipsets Strong foundation in statistics, mathematics, machine learning, and programming and model optimization from large dataset in smart cities or other smart industries Designing and implementing data pipelines for efficient data processing and model deployment. Proficient in developing and implementing machine learning and statistical models Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy Implement analytical models in production by collaborating with software developers and machine-learning engineers

Job Description: Key Responsibilities Hands-on Development: Develop and implement machine learning models and algorithms, including supervised, unsupervised, deep learning, and reinforcement learning techniques. Implement Generative AI solutions using technologies like RAG (Retrieval-Augmented Generation), Vector DBs, and frameworks such as LangChain and Hugging Face, Agentic Ai. Utilize popular AI/ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. Design and deploy NLP models and techniques, including text classification, RNNs, CNNs, and Transformer-based models like BERT. Ensure robust end-to-end AI/ML solutions, from data preprocessing and feature engineering to model deployment and monitoring. Technical Proficiency: Demonstrate strong programming skills in languages commonly used for data science and ML, particularly Python. Leverage cloud platforms and services for AI/ML, especially AWS, with knowledge of AWS Sagemaker, Lambda, DynamoDB, S3, and other AWS resources. Mentorship: Mentor and coach a team of data scientists and machine learning engineers, fostering skill development and professional growth. Provide technical guidance and support, helping team members overcome challenges and achieve project goals. Set technical direction and strategy for AI/ML projects, ensuring alignment with business goals and objectives. Facilitate knowledge sharing and collaboration within the team, promoting best practices and continuous learning. Strategic Advisory: Collaborate with cross-functional teams to integrate AI/ML solutions into business processes and products. Provide strategic insights and recommendations to support decision-making processes. Communicate effectively with stakeholders at various levels, including technical and non-technical audiences. Qualifications Bachelor’s degree in a relevant field (e.g., Computer Science) or equivalent combination of education and experience. Typically, 8-10 years of relevant work experience in AI/ML/GenAI 15+ years of overall work experience. With proven ability to manage projects and activities. Extensive experience with generative AI technologies, including RAG, Vector DBs, and frameworks such as LangChain and Hugging Face, Agentic AI Proficiency in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning. Extensive experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. Strong knowledge of natural language processing (NLP) techniques and models, including Transformer-based models like BERT. Proficient programming skills in Python and experience with cloud platforms like AWS. Experience with AWS Cloud Resources, including AWS Sagemaker, Lambda, DynamoDB, S3, etc., is a plus. Proven experience leading a team of data scientists or machine learning engineers on complex projects. Strong project management skills, with the ability to prioritize tasks, allocate resources, and meet deadlines. Excellent communication skills and the ability to convey complex technical concepts to diverse audiences. Preferred Qualifications Experience in setting technical direction and strategy for AI/ML projects. Experience in the Insurance domain Ability to mentor and coach junior team members, fostering growth and development. Proven track record of successfully managing AI/ML projects from conception to deployment. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

We are looking for a highly skilled and analytical Data Scientist to join our team. You will be responsible for analyzing large datasets to extract actionable insights, build predictive models, and support data-driven decision-making across the organization. The ideal candidate should be passionate about data, statistical analysis, and applying machine learning techniques to solve real-world business problems. Key Responsibilities: Collect, clean, and preprocess large datasets from multiple sources. Analyze complex data sets to identify patterns, trends, and opportunities. Design and implement machine learning models to solve business challenges. Communicate findings through data visualizations, dashboards, and reports. Collaborate with cross-functional teams (engineering, product, marketing) to implement data solutions. Monitor and maintain model performance and retrain when necessary. Stay updated on the latest developments in AI/ML and data science tools. Required Skills and Qualifications: Bachelors / Masters/Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field. Strong proficiency in Python or R, along with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Experience with data querying languages such as SQL. Good understanding of statistical analysis, machine learning, and data mining techniques. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Skills Skill SDLC PL/SQL Solution Architecture Java Unix .NET SOA Microsoft SQL Server SQL ASP.NET Education Qualification No data available CERTIFICATION No data available Role Data Scientist Educational Qualification ME/BE / MCA Experience Required 4+ Years Shifts Day shift Skills & Responsibilities Experience4+ years in machine learning, deep learning, or generative AI. Programming & Frameworks Strong Python scripting with Pandas, NumPy, OOPs concepts. Experience with PyTorch, TensorFlow, Keras, Hugging Face Transformers. Proficiency in SQL queries when needed. Generative AI & NLP Experience with LLMs, GANs, VAEs, Diffusion Models. Familiarity with OpenAI GPT, DALLE, Stable Diffusion. Deep knowledge of NLP techniques & deep learning architectures (RNN, CNN, LSTM, GRU). Machine Learning & Statistics Understanding of ML/DL algorithms, statistical analysis, and feature engineering. Theoretical knowledge of Random Forest, SVM, Boosting, Bagging, Regression (Linear & Logistic), and Unsupervised Learning. MLOps & Deployment Familiarity with Cloud platforms (AWS, Azure, GCP). Experience in MLOps, CI/CD, Docker, Kubernetes. Comfortable with Linux systems and GPU-based deep learning. Research & Ethics Contributions to AI research, open-source projects, or Kaggle competitions. Awareness of AI ethics, bias mitigation, and model interpretability. Soft Skills & Work Environment Ability to work independently and deliver results. Experience in an agile development environment. Knowledge of computer vision is a plus.

Experience Experience : Fresher only , no prior industry experience required Academic/Internship/Project work in AI must be showcased Educational & Skill Requirements Bachelors degree in Computer Science, Information Technology, Data Science, AI/ML , or related field Strong foundational knowledge of Artificial Intelligence, Machine Learning , and Deep Learning Hands-on experience in at least one academic or personal project related to AI (e.g., image recognition, NLP chatbot, recommendation systems, etc.) Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV, or Hugging Face Exposure to data handling using Pandas, NumPy, etc. Knowledge of LangChain is required

Risk Analytics - Manager/Senior Manager - Risk Operations LocationNoida, Uttar Pradesh DepartmentOperations & Support Risk Operations-Offline Payments Employment TypeFull-time Employment Work EnvironmentOn-site About Paytm Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the team This team involves in making a difference. A lot of contingency and new challenges are encouraged within the team to do stuff that is meaningful for those we serve. We are successful, and our successes are rooted in our people's collective energy and unwavering focus on the employees, and that's how it will always be change management in Social Media. Why join us If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 21 mn+ merchants, and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants - and we are committed to it. India s largest digital lending story is brewing here. It s your opportunity to be a part of the story! About the Role As a Manager in Fraud Analytics, you will play a key role in monitoring, analyzing, and preventing fraudulent activities across our payment platforms. Reporting to the Senior Manager Fraud Analytics, you will be responsible for building and maintaining fraud detection models, configuring rules, and supporting control-related projects. You will also collaborate with other teams such as Risk ops, Product, and Engineering to ensure that the organizations risk controls are both effective and scalable. Key Responsibilities Develop and refine fraud detection models, leveraging both rule-based and data-driven approaches to prevent and mitigate fraud risks. Monitor real-time transaction data for suspicious activity, escalating concerns and providing recommendations for corrective action. Assist in the configuration of fraud detection rules within the transaction monitoring system, ensuring accuracy and minimal false positives. Analyze fraud trends and transaction patterns to proactively address potential vulnerabilities and emerging fraud schemes. Collaborate with cross-functional teams, including Risk, Compliance, and Product, to ensure fraud risk mitigation strategies are aligned with business objectives. Support fraud-related control projects, from planning through to execution, ensuring compliance with RBI regulations and internal risk frameworks. Assist in preparing fraud risk reports for senior management, outlining key insights, emerging trends, and actionable recommendations. Work closely with the Senior Manager to ensure regulatory requirements are met, including adherence to RBI and other regulatory standards. Continuously improve fraud monitoring tools and techniques, suggesting enhancements to improve fraud detection accuracy and efficiency. Participate in regulatory audits and assist in responding to fraud-related queries from authorities. Qualifications A bachelors degree in Data Analytics, Statistics, Risk Management, or a related field is preferred. 4-8 years of experience in fraud analytics, risk management, or a related role within the fintech or payments industry. Strong understanding of fraud detection techniques, including rule-based systems and data-driven models. Experience with fraud detection tools, transaction monitoring systems, and data analytics platforms. Familiarity with RBI guidelines and other regulatory frameworks governing payment companies in India. Strong analytical and problem-solving skills, with the ability to identify trends and make data-driven decisions. Excellent communication skills, with the ability to present insights and findings clearly to both technical and non-technical audiences. Experience working in a high-volume transaction environment, such as a payments gateway, mobile wallet, or UPI system. Preferred Skills: Knowledge of machine learning models for fraud detection. Experience working with fraud detection systems in the fintech space, especially in a licensed TPAP setup. Familiarity with compliance and audit requirements in a regulated financial environment. Why Join Us We aim at bringing half a billion Indians into the mainstream economy, and everyone working here is striving to achieve that goal. Our success is rooted in our peoples collective energy and unwavering focus on the customers, and thats how it will always be. We are the largest merchant acquirer in India. Compensation If you are the right fit, we believe in creating wealth for you. With enviable 500 mn registered users, 21 mn merchants, and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants and we are committed to it. Indias largest digital lending story is brewing here. Its your opportunity to be a part of the story!

Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Role Business analyst focuses on data, statistical analysis and reporting to help investigate and analyze business performance, provide insights, and drive recommendations to improve performance. Expectations/ : 1. Drive business insights from data with a focus on driving business level metrics. 2. Ability to interact and convince business stakeholders. 3. Developing insightful analysis about business and their strategic and operational implications. 4. Partner with stakeholders at all levels to establish current and ongoing data support and reporting needs. 5. Analyze data from multiple angles, looking for trends that highlight areas of concerns or opportunities. 6. Design, create and deliver data reports, dashboards, extract and/or deliver presentations to strategic questions. 7. Identifying data needs and driving data quality improvement projects. Key Skills Required: 1. Ideally have 2-5 years experience working on data analytics and business intelligence. Candidates from b2c consumer internet product companies are preferred. 2. Proven work experience on MS Excel, Google analytics, SQL, Data Studio, any BI Tool, business analyst or similar role. 3. Should be comfortable working in a fast-changing environment and ambiguous. 4. Critical thinking and very detail oriented. 5. In-depth understanding of datasets, data and business understanding. 6. Capable of demonstrating good business judgement. Education Applicants must have an engineering academic background with specialization in data science . Why join us We aim at bringing half a billion Indians into the mainstream economy, and everyone working here is striving to achieve that goal. Our success is rooted in our people s collective energy and unwavering focus on the customers, and that s how it will always be. We are the largest merchant acquirer in India. Compensation If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants - and we are committed to it. India s largest digital lending story is brewing here. It is your opportunity to be a part of the story!

Company: Marsh Description: We are seeking a talented individual to join our Risk consulting team at Marsh Mc Lennan. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office We will count on you to: Proactively review all claims (new and old) and establish a plan of action to achieve a favourable claims resolution. Obtain and compile requested loss run data. Analyse data to identify trends and actionable insights. Gather claim-specific details, including claim numbers, adjuster information, and claim statuses. Provide up-to-date status reports on claims. Acknowledge and report on excess claims as necessary. Develop PowerPoint presentations for internal and external stakeholders. Conduct research on relevant topics and present findings. Design and generate surveys to gather stakeholder feedback. Prepare executive summary reports for claim reviews. Facilitate the closure of open liability claims in mClaim. Create and maintain a defence attorney reference database, categorized by jurisdiction. Analyse data lakes to generate insights and KPI reports for performance monitoring. What you need to have: 6-8 years of experience in the General Insurance domain across different types of claims, claims lifecycle and claim data. Graduate or masters in commerce or business administration or any equivalent education programme in Insurance domain. MS Office proficiency (Word, Excel, Outlook, PowerPoint). Strong Excel proficiency. Strong verbal and written communication skills - excellent email writing skills. Must be comfortable with working on new age data management tools What makes you stand out Strong persistence and follow-up skills. Knowledge and experience of resolving complex claims across a variety of relevant business lines Proficient in data analytics tools, with a strong ability to derive actionable insights from complex datasets. Multilingual capabilities, enabling effective communication and collaboration in diverse environments. Experienced in working with AI models, leveraging advanced technologies to enhance decision-making processes. Proven track record of collaborating with offshore colleagues, fostering teamwork and driving project success across geographical boundaries Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being Marsh, a business of Marsh McLennan (NYSEMMC), is the worlds top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting. Responsibilities Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team. Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground. Qualifications 2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred. Excellent software engineering and programming skills, especially Python and SQL. A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions. A deep understanding of using cloud computing infrastructure and data pipelines in production. Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.The drive to make a positive impact on customers' lives.

The ideal candidate will have strong expertise in Python, Apache Spark, and Databricks, along with experience in machine learning Data Engineer

PositionCorporate Travel Professional Location Gurgaon, Haryana, India Role Overview Job Summary We are seeking an experienced Travel Category Lead & Mobility Manager to develop and manage travel procurement strategies across Airlines, Hotels, Visa, Corporate Cards, Employee Transportation, Events, and Fleet Services . This role will focus on cost savings, supplier performance, sustainability initiatives, and compliance while collaborating with internal stakeholders to enhance travel and mobility programs. The ideal candidate has strong analytical skills, expertise in vendor negotiations, and a strategic mindset to drive operational excellence and sustainability initiatives . Key Responsibilities Vendor Management, Events & Fleet Negotiations Source, negotiate, and manage contracts with airlines, hotels, visa service providers, event agencies, gifting vendors, marketing communication vendors, and fleet service providers Lead contract negotiations for events, ensuring cost-effective solutions while maintaining quality service levels Oversee fleet and car rental service contracts, ensuring compliance with operational and environmental standards Oversee the corporate credit card program, ensuring efficient expense handling and policy adherence Employee Support Assist employees with travel-related inquiries and resolve issues promptly. Budget Planning & Cost Optimization Analyze travel expenditures to identify cost-saving opportunities Collaborate with various departments to strategize and achieve productivity goals Monitor spending and provide regular updates to management Fleet & Transportation Management: Manage employee transportation services, including contract negotiations and compliance with regulations Implement fleet management software and GPS systems to monitor vehicle performance and optimize routes Drive EV transformation for the fleet by incorporating electric vehicles (EVs), optimizing charging infrastructure, and reducing dependency on conventional fuel-powered vehicles Sustainability Initiatives: Develop and implement sustainable travel initiatives, including low-carbon travel programs and eco-friendly mobility solutions Ensure compliance with corporate procurement guidelines, ethical standards, and travel regulations Monitor and report on the environmental impact of travel and fleet services, identifying opportunities for carbon reduction. Travel Policy Development & Compliance: o Collaborate with HR to develop and maintain a corporate travel policy aligned with Siemens Energy's global standards and local regulations Stakeholder Engagement & Executive Reporting Collaborate with cross-functional teams (Finance, HR, Procurement, Business Leaders) to align travel strategies with business goals. Prepare and present analytical reports and executive leadership presentations on cost savings, supplier performance, and sustainability efforts Stay updated on industry trends, regulations, and emerging technologies in corporate travel and mobility Qualifications: 7-10 years of experience in corporate travel procurement, mobility management, or category management, preferably in a large organization Strong expertise in negotiation, vendor management, and contract execution across airlines, hotels, fleet services, and corporate cards Proven track record in budget planning, cost optimization, and strategic sourcing Strong analytical and problem-solving skills, with experience in executive reporting and stakeholder presentations Familiarity with corporate travel policies, sustainability programs, fleet operations, and mobility solutions Proficiency in procurement software, data analytics tools, and travel management systems Ability to manage multiple projects and lead cross-functional teams Strong communication and interpersonal skills to engage stakeholders, suppliers, and internal teams

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizationsunlock the value of technology and build a more sustainable, more inclusive world. We’re looking for passionate and skilled professionals to join our RPA team specializing in WorkFusion . Whether you're a hands-on developer, a strategic consultant, or a technical lead, this role offers the opportunity to design, build, and scale automation solutions that drive real business impact. You’ll work on cutting-edge projects involving RPA, Machine Learning, Cloud Infrastructure, and CI/CD pipelines , collaborating with cross-functional teams to deliver high-performance automation solutions. Key Responsibilities Design, develop, and deploy RPA solutions using WorkFusion , including ODF framework and ML components. Leverage Java 8, Spring, Maven, Hibernate , and JavaScript to build robust automation workflows. Integrate backend systems and APIs to enable seamless automation orchestration. Lead or contribute to solution orchestration , technical design, and documentation (PDDs, SDDs). Plan and execute unit testing, integration testing , and code reviews to ensure quality and performance. Document all phases of the automation lifecycle from discovery to deployment. Engage with business stakeholders to analyze processes and identify automation opportunities. Provide technical guidance and mentorship to junior team members (for Lead roles). Collaborate with DevOps and infrastructure teams to ensure scalable and secure deployments. Utilize AWS infrastructure and services for hosting and scaling automation solutions. Implement CI/CD pipelines to streamline development and deployment cycles. Optimize cloud resource sizing and architecture for performance and cost-efficiency. Primary Skills 3+ years of IT experience with minimum 1 year in RPA solutioning (WorkFusion preferred). Strong hands-on experience in Java 8 , Spring , Hibernate , Maven , and JavaScript . Experience with WorkFusion ODF framework and understanding of ML SDK is a strong plus. Solid understanding of RPA, Machine Learning concepts, workflows, backend systems, and APIs . Familiarity with AWS infrastructure , cloud architecture, and CI/CD practices . What You’ll Love About Working Here Choosing Capgemini means having the opportunity to make a difference, whether for the world’s leading businesses or for society. It means getting the support you need to shape your career in the way that works for you. It means when the future doesn’t look as bright as you’d like, you have the opportunity to make changeto rewrite it. When you join Capgemini, you don’t just start a new job. You become part of something bigger. A diverse collective of free-thinkers, entrepreneurs and experts, all working together to unleash human energy through technology, for an inclusive and sustainable future. At Capgemini, people are at the heart of everything we do! You can exponentially grow your career by being part of innovative projects and taking advantage of our extensive Learning & Development programs. With us, you will experience an inclusive, safe, healthy, and flexible work environment to bring out the best in you! You also get a chance to make positive social change and build a better world by taking an active role in our Corporate Social Responsibility and Sustainability initiatives. And whilst you make a difference, you will also have a lot of fun.

Looking for challenging role If you really want to make a difference - make it with us Can we energize society and fight climate change at the same time At Siemens Energy, we can. Our technology is key, but our people make the difference. Brilliant minds innovate. They connect, create, and keep us on track towards changing the world’s energy systems. Their spirit fuels our mission. Our culture is defined by caring, agile, respectful, and accountable individuals. We value excellence of any kind. Sounds like you Job Summary: We are seeking a dynamic and experienced leader in field of AI & Advanced Analytics to lead our AI/ML initiatives and drive transformative projects across our grid technology organization. The ideal candidate will have a strong background in AI, machine learning, and data analytics, with a proven track record of delivering innovative solutions that align with business objectives in the energy sector, particularly in transmission planning and operational studies. Your new role – challenging and future- oriented Lead the AI/ML practice, providing technical leadership and strategic direction for AI initiatives. Oversee the end-to-end deployment of AI/ML projects, ensuring timely delivery and alignment with business goals. Collaborate with cross-functional teams to align AI/ML projects with key business functions in our digital grid business, with major stack holders as engineering, project operations, and senior management. Utilize programming languages and tools such as Python, R, SQL, MATLAB, and cloud platforms (AWS) to deliver data-driven solutions. In addition, support in execution of steady-state and dynamic contingency analyses using power flow models (PSSE, PowerFactory, PSCAD, VSAT, TSAT, or Powerworld). Designs and performs production cost modeling studies to accomplish economic transmission planning under the direction of a senior level engineer or management. Support development of improved models for transmission planning and market forecasting processes. Assists in providing input and analyses from the planning perspective on market/protocol design issues. Assists in providing market simulation/forecasting and transmission planning analyses to support other activities in grid technology business. Communicate complex technical concepts to non-technical stakeholders effectively. Lead and manage international teams, ensuring effective collaboration and knowledge sharing . We don’t need superheroes, just super minds Master's or Ph.D. in Computer Science, Electrical Engineering, Physics, Mathematics, or a related quantitative field, OR equivalent industry experience with a strong demonstrable research background in AI/ML. Minimum of 8-10 years of experience in AI, machine learning, and advanced analytics, with a focus on the energy sector, especially the transmission business. Proficiency in programming languages (Python, R, SQL) and data analytics tools (Pyspark, Databricks). Experience with deep learning frameworks (Keras, TensorFlow, Pytorch) and cloud computing (AWS). Prior experience in transmission planning and operational studies (100 kV ~ 765 kV), power system performance analyses including steady state analysis, dynamic stability, voltage stability, protection coordination and control system. Prior experience in power system simulation programs (e.g. PSS/E, TARA, PSLF, DigSilent PowerFactory, ETAP, PSCAD/EMTDC, MATLAB/Simulink) An analytical and strategic mindset, always eager to explore and implement innovative solutions and applying problem-solving skills within a consulting environment. Experienced in product development and process improvement. Past track record of driving significant business outcomes through data-driven solutions. Strong leadership and mentorship abilities. Excellent communication and interpersonal skills. Analytical and strategic mindset, with a passion for exploring and implementing innovative solutions. We’ve got quite a lot to offer. How about you This role is based at Site (Gurgaon). You’ll also get to visit other locations in India and beyond, so you’ll need to go where this journey takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries – and the shape of things to come. We’re Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow.

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Questa Simulation Product It is a core R&D team working on multiple verticals of Simulation. A very energetic and enthusiastic team of motivated individuals. This role is based in Noida. But you’ll also get to visit other locations in India and globe, so you’ll need to go where this job takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! Key Responsibilities: We are looking for a highly motivated software engineer to work in the QuestaSim R&D team of the Siemens EDA Development responsibilities will include core algorithmic advances and software design/architecture. You will collaborate with a senior group of software engineers contributing to final production level quality of new components and algorithms and to build new engines and support existent code. Self-motivation, self-discipline and the ability to set personal goals and work consistently towards them in a dynamic environment will go far towards contributing to your success. Are you excited to know more about this Role Job Qualification: An ideal candidate should have skills below: B.Tech or M.Tech in Computer Science & Engineering (CSE), Electrical Engineering (EE), or Electronics & Communication Engineering (ECE) from a reputable engineering institution having 8 - 15 years of experience. Strong knowledge of C/C++, algorithms, and data structures. Familiarity with compiler concepts and optimizations. Experience with UNIX and/or LINUX platforms is essential. Excellent problem-solving and analytical skills. Self-motivated with the ability to work independently and guide others towards successful project completion. We are not looking for superheroes, just super minds! Having the below skills will be an added advantage: Strong understanding of basic digital electronics concepts. Familiarity with machine learning (ML) and artificial intelligence (AI) algorithms, particularly their implementation in data-driven tasks. Proficiency in hardware description languages such as Verilog, SystemVerilog, and VHDL. Experience with parallel algorithms and job distribution techniques. Exposure to simulation or formal verification methodologies is a plus. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, variable pay, other benefits, pension, healthcare and actively support working from home. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Transform the everyday #LI-EDA #LI-Hybrid #DVT

What you'll do Greetings from Data Security Council of India...!! The Data Security Council of India (DSCI) is a not-for-profit, industry body for data protection in India, setup by nasscom committed to making cyberspace safe, secure, and trustworthy by establishing cybersecurity best practices, standards, and initiatives in cyber security and privacy. DSCI engages with governments, regulators, industry sectors, and think tanks on policy advocacy, thought leadership, capacity building, and outreach initiatives. For more information, visit: www.dsci.in. We are seeking a dynamic and technically proficient AI/ML Engineer to support our AI/ML R&D initiatives in cybersecurity and take ownership of TechSagar.in a knowledge repository for India's emerging technology capabilities. The ideal candidate will possess hands-on experience in generative AI, emerging technologies, and product management. This is a hybrid role combining deep technical development with stakeholder engagement and platform evangelism. Role & responsibilities : AI/ML & Cybersecurity Innovation Support R&D efforts to prototype generative AI models for real-time threat detection and cybersecurity. Design, develop, and deploy machine learning models tailored to cyber threat intelligence and anomaly detection. Research and implement novel AI approaches, including multi-agent and reasoning-based systems. Develop distributed security monitoring frameworks using tools like AutoGen , CrewAI , etc. Build LLM-powered threat analysis tools using LangChain , LlamaIndex , and integrate with enterprise infrastructure. Apply MLOps best practices for model deployment, performance monitoring, and continuous integration. Optimize vector stores (Qdrant, FAISS, Pinecone, etc.) for RAG-based systems. Create synthetic datasets for AI training and model evaluation. Use Pydantic for data validation within AI pipelines. TechSagar Product Responsibilities Manage and evolve the TechSagar.in platformenhancing features, ensuring data integrity, and driving usage. Liaise with tech partners, government bodies, startups, and academia to enrich platform content. Strategize and execute industry engagement plans to market TechSagar and establish its relevance. Represent TechSagar in external forums, conferences, and industry meetings. Collect user feedback, define product roadmap, and ensure alignment with AI/ML advancements. Required Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, or related field. 12 years of hands-on experience in AI/ML model development and deployment. Strong programming expertise in Python . Familiarity with LangChain , LlamaIndex , and large language models (LLMs). Experience in applying AI to cybersecurity or vulnerability analysis. Good understanding of machine learning algorithms, data pipelines, and model evaluation. Excellent communication skills for technical and stakeholder engagement Preferred Skills: Exposure to generative AI , LLMs, and chain-of-thought reasoning techniques. Working knowledge of MLOps tools such as MLflow , Docker , etc. Familiarity with FastAPI or Flask for API development. Ability to preprocess, clean, and analyze large datasets efficiently. Experience in integrating AI tools with legacy or existing security systems. Technologies & Frameworks: LLM Frameworks: LangChain, LlamaIndex Multi-agent Systems: AutoGen, CrewAI Vector Databases: FAISS, Pinecone, Qdrant, Elasticsearch, AstraDB MLOps Tools: MLflow, Docker Programming & APIs: Python, FastAPI/Flask Data Validation: Pydantic Why Join Us? Be at the forefront of AI innovation in cybersecurity and national technology initiatives. Lead and shape a strategic tech product (TechSagar) with national impact. Collaborate with thought leaders in the AI, cybersecurity, and emerging tech ecosystem.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting and optimizing existing data workflows to enhance performance and reliability. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to ensure efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data pipeline architecture and design.- Experience with ETL processes and data integration techniques.- Familiarity with data quality frameworks and best practices.- Knowledge of cloud platforms and services related to data storage and processing. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education