245 Pattern Recognition Jobs

Role Overview: As a Technical Specialist-AI Development at CRISIL in Mumbai, India, your primary responsibility will be to design, develop, and maintain scalable, efficient, and reliable systems to support GenAI and machine learning-based applications and use cases. You will play a crucial role in leading the development of data pipelines, architectures, and tools to ensure high performance, security, and compliance. Collaboration with other stakeholders to integrate AI and ML models into production-ready systems will be an essential part of your role. Additionally, you will work closely with non-backend expert counterparts to ensure seamless integration of AI and ML models into backend systems, while maintaining high-quality code following best practices and industry standards. Key Responsibilities: - Design, develop, and maintain scalable, efficient, and reliable systems to support GenAI and machine learning-based applications and use cases - Lead the development of data pipelines, architectures, and tools to support data-intensive projects, ensuring high performance, security, and compliance - Collaborate with other stakeholders to integrate AI and ML models into production-ready systems - Work closely with non-backend expert counterparts, such as data scientists and ML engineers, to ensure seamless integration of AI and ML models into backend systems - Ensure high-quality code, following best practices, and adhering to industry standards and company guidelines Qualification Required: - Senior backend engineer with a proven track record of owning the backend portion of projects - Experience collaborating with product, project, and domain team members - Strong understanding of data pipelines, architectures, and tools - Proficiency in Python (ability to read, write and debug Python code with minimal guidance) - Machine Learning: experience with machine learning frameworks, such as scikit-learn, TensorFlow, or PyTorch - Python: proficiency in Python programming, with experience working with libraries and frameworks, such as NumPy, pandas, and Flask - Natural Language Processing: experience with NLP techniques, such as text processing, sentiment analysis, and topic modeling - Deep Learning: experience with deep learning frameworks, such as TensorFlow, or PyTorch - Data Science: experience working with data science tools - Backend: experience with backend development, including design, development, and deployment of scalable and modular systems - Artificial Intelligence: experience with AI concepts, including computer vision, robotics, and expert systems - Pattern Recognition: experience with pattern recognition techniques, such as clustering, classification, and regression - Statistical Modeling: experience with statistical modeling, including hypothesis testing, confidence intervals, and regression analysis,

As a Data Scientist Intern at our company, you will have the opportunity to contribute to our data science team and work on analyzing large datasets, developing predictive models, and extracting actionable insights that align with our business objectives. **Key Responsibilities:** - Develop applications using ML/DL algorithms and pattern recognition. - Build sustainable models for data analysis. - Enhance data collection procedures to include relevant information for building analytic systems. - Process, cleanse, and verify the integrity of data used for analysis. **Qualifications Required:** - B-tech/M-tech/Ms in Computer Engineering from a reputed university. - A degree or diploma in Data Science/Analytics from a prestigious institute. - Proficiency in languages like Python and analysis libraries (e.g., Pandas, NumPy, scikit-learn). - Excellent understanding of machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc. - Strong communication skills and the ability to learn quickly.,

The opportunity We are currently looking for a Computer Vision Engineer, to join our office in Pune. As a Computer Vision Engineer, you will support our clients in defining and implementing a data journey aligned with their strategic objectives. Some of your responsibilities will include: Work with the research team to research, develop, evaluate, and optimize various computer vision and deep learning models for different problems. Take ownership to drive computer vision solutions and meet customer requirements. Deploying developed computer vision models on edge devices after optimization to meet customer requirements and maintain them to later improve to address additional customer requirements in the future. Developing data handling and machine learning pipelines for training In-depth understanding of computer vision models including object detection, semantic segmentation, and key-point detection Implementing algorithms in robust, efficient, and well-tested code. Skills and attributes for success To qualify for the role, you must have Experience of minimum 2 years Ability to develop Deep Learning frameworks to solve problems. Design and create platforms for image processing and visualization. Knowledge of computer vision libraries. Understanding of dataflow programming. B.E. (E&TC /Computer / IT / Mechanical / Electronics) C++, video analytics, CUDA, Deepstream

Build an end-to-end data-driven / AI / ML / Statistics based Ad-Tech solutions that positions MiQ as the leading programmatic partner for advertisers across the lifecycle of a marketing campaign Look for opportunities to build solutions that would differentiate MiQ from competitors by researching cutting edge AI techniques and technologies Focus on ML/AI solutions that scale - from tech as well as functional point of view Bring innovation and research to focus internally and externally, through submitting white papers, representing MiQ and presenting at conferences, participating in hackathons etc. Who are your stakeholders The Data Scientist s internal customers / stakeholders include: Account Managers / Traders / Sales / Analysts: The Data Scientist builds solutions that are used primarily by these internal customers through MiQ proprietary platforms like Lab and The data scientist usually does not directly collaborate with these customers and the market requirements and solution feedback is through Product Management team Product Management: The Data Scientist builds solutions prioritized as part of the Product roadmap What you ll bring Experience in applying machine learning, statistical pattern recognition, and data mining algorithms to predict Strong Experience with at-least one programming language - g. Java, Python, R Strong experience with advanced SQL and good experience in big data ecosystem - Hive/Pig/MapReduce, Spark Write optimized and advanced SQL queries to extract, transform, and analyze large datasets Translate mathematical concepts (linear algebra, probability, optimization) into practical model implementations Extreme attention to detail, ability to meet deadlines and priorities Strong written and verbal communication skills A can-do attitude, with a dream to grow alongside Benefits A hybrid work environment New hire orientation with job specific onboarding and training Internal and global mobility opportunities Competitive healthcare benefits Bonus and performance incentives Generous annual PTO paid parental leave, with two additional paid days to acknowledge holidays, cultural events, or inclusion

CodeZyng is looking for AI Engineer to join our dynamic team and embark on a rewarding career journey Designing and developing AI algorithms and models to solve specific business problems Creating and maintaining databases for storing and processing large amounts of data Developing and deploying machine learning and deep learning models Implementing and integrating AI solutions with existing systems and software Analyzing and interpreting complex data sets to extract insights and drive decision-making Collaborating with cross-functional teams to develop and deploy AI applications Ensuring the security and privacy of data used in AI applications Communicating and presenting technical information to non-technical stakeholders Excellent communication skills & attention to detail Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics. Mandatory Key SkillsNLP,algorithms,Dialogflow,Python,machine learning models,chatbot analytics,chatbot integration*

Skills: 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge Skills : - LLM/ML ,application development, Data Handling,Data processing,Data engineering,Dataset creation, LLM performance metrics, fine-tuning, prompt engineering, Image/Video Processing, Generative AI, OpenAI, Claude, Prompt Engineering, autogen, agentic framework Keywords :application development,machine learning,python,deep learning,natural language processing,computer vision,neural networks,opencv,image processing,pattern recognition,data science,imaging*,video processing*,ml*,artificial intelligence*,data engineering*

As a Third-Party Management Operations role at Capgemini, you will be responsible for collecting, analyzing, and interpreting complex data sets to drive informed business decisions. You will have the opportunity to work closely and directly with the Client and cross-functional teams to identify trends, patterns, and insights that will contribute to the company's growth. Your key responsibilities will include: - Ensuring adherence to TPRM policies and procedures across the full lifecycle. - Supporting Subject Matter Experts (SMEs), Third Party Business Representatives (TPBRs), and the TPMO team. - Managing risk assessments and determining appropriate relationship records for new service requests. - Driving follow-ups and escalations across various TPRM stages including Inherent Risk Assessments, Due Diligence, Contingency Plans, and Risk Summary approvals. - Performing monthly reconciliations and reporting using Coupa Risk Assess and Coupa Core. To excel in this role, you should have experience in risk management, vendor governance, or third-party oversight. Additionally, familiarity with tools like Coupa Risk Assess, Coupa Core, and ServiceNow will be beneficial. At Capgemini, you will enjoy comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, or new parent support via flexible work arrangements. The company is committed to ensuring that individuals from all backgrounds feel encouraged and have a sense of belonging. You will be valued for who you are and can bring your original self to work. Capgemini is a global business and technology transformation partner, helping organizations accelerate their transition to a digital and sustainable world. With a diverse group of over 340,000 team members in more than 50 countries, Capgemini is trusted by clients to address their business needs using technology. The company's office campuses in India run on 100% renewable electricity and have installed Solar plants and Battery Energy Storage Solution (BESS) in various locations, contributing to a sustainable environment. By working at Capgemini, you will have the opportunity to work on cutting-edge projects in tech and engineering, create solutions to overcome societal and environmental challenges, and make a difference every day.,

Objectives of this role Develop custom python libraries and data structures for data processing should be able to create data ingestion, curation and validation pipeline for AI model data fine tuning Keep current with technical and industry developments Responsibilities Serve as lead developer to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products Develop libraries in python, spark, or other equivalent programming languages Should have hands on experience in data modeling, processing, and categorization of data Execute analytical experiments to help solve problems Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Analyze data for trends and patterns, and interpret data with clear objectives in mind Implement analytical models in production by collaborating with software developers and machine-learning engineers Required skills and qualifications 5 or more years of experience in Python, big data analytics or AI/Gen AI development projects Proficiency with data mining, mathematics, and statistical analysis Good knowledge of AI based python libraries and usage. Should possess hands on experience in AI/Gen AI based development projects Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Power BI /any reporting tools , SQL, and programming languages (ex: Java/Python, SAS) Ability to work effectively in a dynamic, research-oriented group

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLAs defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLAs Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Mandatory Skills: Ipython. Experience: 5-8 Years.

Design and implement machine learning and deep learning models for various applications (e.g., NLP, computer vision, recommendation systems). Build AI-powered features and services into applications and platforms.

Skills: 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge Skills : - LLM/ML ,application development, Data Handling,Data processing,Data engineering,Dataset creation, LLM performance metrics, fine-tuning, prompt engineering, Image/Video Processing, Generative AI, OpenAI, Claude, Prompt Engineering, autogen, agentic framework Mandatory Key Skills application development,machine learning,python,deep learning,natural language processing,computer vision,neural networks,opencv,image processing,pattern recognition,data science,imaging*,video processing*,ml*,artificial intelligence*,data engineering*

Shift: 12pm to 9pm IST We're seeking an AI Software Engineer to develop algorithms, build neural networks, and advance NLP techniques that power our platform. Requirements: Min 5+ years of exp as AI Developer Strong skills in Python, TensorFlow (or similar), pattern recognition, neural networks, LLM and NLP. Solid software development background, problem-solving abilities, and communication skills are essential. A degree in Computer Science/Engineering is required. Location - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote.

Mandatory Skills: 1. 5+ Years of experience in the design & development of state-of-the-art language models; utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. 2. Deep understanding of language models and a strong proficiency in designing and implementing RAG-based workflows to enhance content generation and information retrieval. 3. Experience in building, customizing and fine-tuning LLMs via OpenAI studio extended through Azure OpenAI cognitive services for rapid PoCs 4. Proven track record of successfully deploying and optimizing LLM models in the cloud (AWS, Azure, or GCP) for inference in production environments and proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. 5. Apply prompt engineering techniques to design refined and contextually relevant prompts for language models. 6. Monitor and analyze the performance of LLMs by experimenting with various prompts, evaluating results, and refining strategies accordingly. 7. Building customizable, conversable AI agents for complex tasks using CrewAI and LangGraph to enhance Gen AI solutions 8. Proficient in MCP (Model Context Protocol) for optimizing context-aware AI model performance and integration is a plus Location - Mumbai , Pune, Bangalore, Chennai and Noida Mandatory Key Skills Model Context Protocol,AWS,Azure,GCP,LLM models,OpenAI studio,CrewAI,LangGraph,Gen AI*

As a member of the Loan Data Extraction team specializing in institutional real estate clients at Chatham, you will have the immediate opportunity to partner with talented subject matter experts, work on complex projects, and contribute to the value Chatham delivers every day. Your primary responsibility will be reviewing and extracting data from various real estate source documents, such as loan agreements, promissory notes, and guarantees, which is crucial for accurately modeling debt portfolios for clients. Your expertise will ensure that all data is complete, accurate, and delivered in a timely manner. **Key Responsibilities:** - Collaborate with internal team members and stakeholders to ensure timely completion of projects and client satisfaction. - Communicate effectively using strong verbal and written skills to convey complex ideas related to data extraction and quality assurance. - Complete internal training modules to enhance skills required for efficient data extraction. **Qualifications Required:** - Post Graduate degree in Commerce, Accounting, Finance, or related fields. - 1-3 years of experience in financial document processing, credit analysis, loan operations, or a similar field. - Attention to Detail: Precision is crucial to avoid errors when extracting loan terms, interest rates, borrower details, and covenants. - Understanding of Loan Documents: Familiarity with credit agreements, promissory notes, and term sheets is essential for accurate data interpretation. - Data Entry Speed and Accuracy: Efficiently input data without mistakes for smooth downstream processing and compliance. - Critical Thinking & Pattern Recognition: Analytical mindset is needed to identify inconsistencies, missing information, or red flags. - Effective Communication Skills: Ability to convey information to team members and stakeholders clearly. - Real Estate Familiarity: Experience with institutional real estate data or clients is a plus. Chatham Financial, founded in 1991, is the largest independent financial risk management advisory and technology firm. With over 750 employees, Chatham is a leader in debt and derivative solutions, providing clients with innovative tools and knowledge to mitigate risks associated with interest rate, foreign currency, and commodity exposures. Chatham serves more than 3,500 companies across various industries, handling over $1.5 trillion in transaction volume annually. Chatham Financial is an equal opportunity employer.,

Your Role Design, develop, and implement conversational AI solutions using the Kore.ai platform, including chatbots, virtual assistants, and automated workflows tailored to business requirements. Customize, configure, and optimize the Kore.ai platform to address specific business needs, focusing on user interface (UI) design, dialogue flows, and task automation. Collaborate with cross-functional teams to understand business objectives and translate them into scalable AI solutions. Continuously monitor and enhance bot performance by staying updated on the latest Kore.ai features, AI advancements, and machine learning trends. Your Profile 7+ years of experience in software development, with at least 4+ years of hands-on experience working with the Kore.ai platform. Proven expertise in developing chatbots and virtual assistants using Kore.ai tools. Proficiency in programming languages such as JavaScript or other scripting languages. Experience with API integrations, including RESTful APIs and third-party services. Strong understanding of dialogue flow design, intent recognition, and context management. What you "love about working here You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Role: Support Engineer Location: Gurugram Description: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We are seeking a Support Engineer for our team in Gurgaon. Graviton trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference, analyzing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. Responsibilities: System Monitoring & Incident Response - Monitor and respond to alerts across dashboards (Grafana, Icinga, etc.) to ensure system stability and uptime. Troubleshooting & Operations - Troubleshoot Linux server issues, including performance, networking, and process failures. Collaboration & Documentation - Participate in root cause analysis (RCA) for major incidents. Maintain accurate runbooks, troubleshooting guides, and operational checklists. Requirements: Bachelor s degree in Computer Science, Information Technology, or a related field 1 2 years of experience with Shell/Bash command-line and scripting Hands-on experience with monitoring tools and dashboards; exposure to ELK or Icinga preferred Personal Attributes: Strong problem-solving skills with the ability to work under pressure in a fast-paced environment. Excellent communication skills and ability to work collaboratively with technical and non-technical teams. Detail-oriented with a commitment to high-quality, reliable code.

Role: Support Engineer Location: Gurugram Description: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We are seeking a Support Engineer for our team in Gurgaon. Graviton trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference, analyzing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. Responsibilities: System Monitoring & Incident Response - Monitor and respond to alerts across dashboards (Grafana, Icinga, etc.) to ensure system stability and uptime. Troubleshooting & Operations - Troubleshoot Linux server issues, including performance, networking, and process failures. Collaboration & Documentation - Participate in root cause analysis (RCA) for major incidents. Maintain accurate runbooks, troubleshooting guides, and operational checklists. Requirements: Bachelor s degree in Computer Science, Information Technology, or a related field 1 2 years of experience with Shell/Bash command-line and scripting Hands-on experience with monitoring tools and dashboards; exposure to ELK or Icinga preferred Personal Attributes: Strong problem-solving skills with the ability to work under pressure in a fast-paced environment. Excellent communication skills and ability to work collaboratively with technical and non-technical teams. Detail-oriented with a commitment to high-quality, reliable code.

Data Steward Operations Be part of something bigger! As the world and the way people live is changing, we at Bekaert believe it s our responsibility to contribute to finding new solutions for the future. With a 140+ year old heritage of excellence, innovation, and a future-focused mindset, we strive to create value for our customers and society. We aim to do this through innovative solutions and sustainable practices. We are committed to pushing the boundaries of steel wire transformation and coatings whilst also leveraging our expertise to develop innovative solutions with new materials and services in a safe, smart, and sustainable way. Our focus extends to markets such as new mobility, low-carbon construction, and green energy. As a dynamic and growing company with over 24 000 employees worldwide, 75 nationalities, a retention rate above 90% and almost 5.3 billion in combined revenue in 2023, we are looking for someone like you to join our team as we continue to shape a safer, more efficient, and connected world II. Purpose of the Job Bekaert is leading transformation program to enhance the digital experience end-to-end that drive impact across multiple channels. Bekaert s Operations are focusing to improve relative cost position & cash utilization in manufacturing and supply chain. At Bekaert, we cherish our (Master) Data and hence invest in effective Master Data Management and Data Governance practices to support us in achieving our digital ambitions. To establish a sustained enterprise wide (Master) Data Management and Data Governance approach in co-drive with functions and businesses, the Advanced Digital Solutions (ADS) organization will strengthen the capability with Data and Information Experts/Architects with a product group/domain focus. Your task as Data Steward for Operations is to ensure good quality master data and governance practices to support Bekaert digital roadmap. Identify and resolve master data issues in the process and resolve business pain points. As Data steward you will be closely co-ordinating with business users and project stakeholders for master data requirements in the project and continuous improvement of the data quality and governance. Your Impact ADS Operations MDM domain which responsible for data design, maintenance and governance of master data of the Bekaert organization encompasses all the master data objects related to production execution, quality management, planning and plant maintenance. This role of Global Master Data Steward will be responsible for stewardship role covering all the data services, but not limited to designing, analysing, maintaining and governing master data needs of the organization as per business and digital strategy of Bekaert. Support data initiatives and projects under digital journey: Bekaert is going through digital transformation on digital manufacturing and digital supply chain, connected applications and data integration across connected processes. Underlying master data quality and data model is necessary foundation to build sustainable roadmap. Understanding business processes coupled with master data in SAP and connected applications to build harmonized data structure and robust data pipeline is key. Maximize value derived from Master data analytics: Understand data needs of business stakeholders coupled with process problems, identify the gaps and make necessary reporting to generate value using the organizations data assets, that satisfy reporting requirements and support faster decision making. Enable effective data management and governance: Govern each master data template for various business units with valid business rules and data framework. Support and assist in defining data processes, setting up data quality rules, and validating data structures. Work closely with different plant data admins to define right master data management practices. Support Data migration Support various data migration and implementation projects for mass maintenance activities of master data, validating data records, and ensure data quality in rollouts across various business units. Supporting periodic data maintenance, change and clean-up activities as needed. Assist in data strategy: Assist and support in preparing data road map with changing business dynamics and requirements, preparing sustainable data (master) model, standardize and simplify data maintenance process and align with digital road map of Bekaert Data journey. Data quality framework: Set and Support data quality framework for continuous improvement of master data quality of operations domain, analyse the impact of poor-quality data, and bring in improvement with help of tools and techniques in profiling, standardization and harmonization of the data. Set up single source of truth. Skills & Competencies Business domain knowledge of manufacturing and quality process is must with data/content and process understanding in Operations, including manufacturing, end to end supply chain, engineering, etc. Good understanding of SAP Manufacturing and quality process, with in-depth understanding of underlying master data and it s realtion to the business processes. SAP data design, maintenance and support master data objects in PP and QM module. ( SAP - PP & QM skills.) Well conversant with maintenance of manufacturing & planning master data such as, BOM, Recipe, Routing, classification, Process Instriction characteristics, and Variant Configuration in completx manufacturing environment set up. Proven experience of workign in data management (master) and governance function, with hand s on working on any enterprise MDM tool, setting up Data rules and Data quality & framework. Expertise in working on mass scale data creation/ update in SAP, working on data migration and data clean-up drives, including working with LSMW. Effective conceptualization, pattern recognition and teaming skills. Experience in working with geographically distributed team, acting as data steward protecting data assets and interest of the organization in validating and governing the master data practices and processes. Experinece of working with object dependencies and variant configiration set-up in manufacturing domain will be added advantage Education & Experience: Bachelor or Master degree in computer science or a related field, or equivalent through experience in the process domain with demonstrated affinity for master data, data governance and/or analytics. 10+ years of overall experience, 5+ years progressive work experience in a similar role related to the manufacturing industry and master data practices. Experience of manufacturing or supply chain Experience of workign with globally distributed teams and partners. Be bold and take the leap! Were looking for individuals who are not afraid to take risks and explore new ideas. If you are passionate about personal growth and bringing your authentic self to work, we want you on our team! At Bekaert, we celebrate diversity and are committed to creating an inclusive work environment. 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. To learn more about us and our exciting career opportunities, visit Bekaert Careers

About The Role This role involves the development and application of engineering practice and knowledge in the following technologiesStandards and protocols, application software and embedded software for wireless and satellite networks, fixed networks and enterprise networks; connected devices (IOT and device engineering), connected applications (5G/ edge, B2X apps); and Telco Cloud, Automation and Edge Compute platforms. This role also involves the integration of network systems and their operations, related to the above technologies. About The Role - Grade Specific Focus on Connectivity and Network Engineering. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

Big picture: Understand customers needs and innovate and use cutting-edge Machine Learning techniques to build data-driven solutions. Work on NLP problems across areas such as text classification, entity extraction, summarisation, generative NLP, and others. Collaborate with cross-functional teams to integrate/upgrade AI solutions into company s products and services Optimise existing machine learning models for performance, scalability and efficiency. Build , deploy and own scalable production NLP pipelines. Build post-deployment monitoring and continual learning capabilities. Propose suitable evaluation metrics and establish benchmarks. Keep abreast of SOTA techniques in your area and exchange knowledge with colleagues. Desire to learn, implement and apply latest emerging model architectures (like LLMs), inference optimizations, distributed training, using open-source models, etc. Well love to explore more about you if you have: Bachelors in Computer Science or mathematics-related fields with 2+ years of experience in Machine Learning and NLP. Proficient in Python, NLP knowledge and practical experience in solving NLP problems in areas such as text classification, entity tagging, information retrieval, question-answering, natural language generation, clustering, etc. Knowledge and experience with data engineering, basic machine learning concepts, data mining, feature extraction, pattern recognition, etc. Knowledge and hands-on experience with Transformer-based Language Models like BERT, DeBERTa, Flan-T5, GPT, Llama, Gemma, DeepSeek, etc. Deep familiarity with Model Training concepts, model inference optimisations, GPUs, etc. Experience with Deep Learning frameworks like Pytorch and common machine learning libraries like scikit-learn, numpy, pandas, NLTK, transformers, etc. Experience with ML model deployments using REST API, Docker, Kubernetes, etc. Knowledge of cloud platforms (AWS/Azure/GCP) and their machine learning services is desirable. Knowledge of basic Data Structures and Algorithms. Knowledge of real-time streaming tools/architectures like Kafka, Pub/Sub is a plus.

We are seeking a highly motivated Data Scientist Intern to join our team for a 6 months internship program. As a Data Scientist Intern, you will work closely with our data science team to analyze large datasets, develop predictive models, and extract actionable insights that contribute to our business objectives. Responsibilities: Develop applications with ML/DL algorithms and pattern recognition Build sustainable models Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis

Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We are seeking a DevOps Engineer for our team in Gurgaon. Graviton trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference analysing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. Developing tools to monitor system performance throughout our busy trading days Work with developers to deploy new servers and applications, reconfigure existing systems, and track changes made to the system Design, test, evaluate and build customized server hardware architectures/configurations Manage and maintain the big data solutions, storage and backup infrastructure Working with developers to help containerize their applications/services, migrate them to our hybrid cloud infrastructure running on Kubernetes, and scale them efficiently and reliably Automating existing support workflows and designing new tools to improve quality of support Architecting, implementing, and supporting CI/CD for complex distributed applications that are developed in languages such as C++, Python, Qualifications A Bachelor s degree in Computer Science with at least 5 years of programming experience Expertise in scripting languages, such as Bash /Shell / Python Thorough understanding of Linux Experience with containerization technologies (Docker) and container automation frameworks (Kubernetes) is desirable Experience of cloud platforms AWS /GCP and virtualization technologies Experience with CI/CD frameworks such as Jenkins, Concourse, Travis or CircleCI Good networking knowledge; familiar with main protocols, OSI layers, TCP/IP, DNS, DHCP Benefits: Our open and collaborative work culture gives you the freedom to innovate and experiment. Our cubicle free offices, non-hierarchical work culture and insistence to hire the very best creates a melting pot for great ideas and technological innovations. Everyone on the team is approachable, there is nothing better than working with friends! Our perks have you covered. Competitive compensation Annual international team outing Fully covered commuting expenses Best-in-class health insurance Delightful catered breakfasts and lunches A well-stocked kitchen 4 week annual leaves along with market holidays Gym and sports club memberships Regular social events and clubs After work parties

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society s evolving needs. Learn more about our What and our Why and how we can work together . What role you will play in our team We are seeking candidates to tackle and lead challenging commercial problems in pricing, marketing, sales, transportation, storage, and distribution of hydrocarbons. The ideal candidate will understand both the commercial/economic and technical aspects of the oil and gas sector and will be able to formulate and solve oil and gas industry problems using machine learning, time series forecasting, statistical analysis, and programming skills. What you will do Collaborate with data scientists, data analysts, software developers, and business representatives from chemical, lubricants, and fuels value chains globally to develop, deliver, and apply data-driven tools, models, or software to support our businesses. Utilize machine learning, time series analysis, pattern recognition, statistical analysis, design of experiments, and data visualizations, along with domain knowledge, to solve commercial problems and provide business insights. Design, build, and execute studies using proprietary or commercial tools to provide insights, including calibrating models to pricing/sales/demand data and providing optimized recommendations. About You Skills and Qualifications Master s, or PhD degree from a recognized university in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related disciplines with a minimum GPA of 7.0 (out of 10.0). At least 5 years of experience in developing, applying, and validating data-driven tools to model complex systems. In-depth knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, validation methods). Practical experience in the full machine learning lifecycle, from problem formulation and data acquisition to model building and deployment at enterprise scale. Deep conceptual and mathematical understanding of algorithms, models, model assessment techniques, solution development and explainable AI. Extensive knowledge and experience in code design, testing, and ML Ops practices. Specialization in at least one sub-domain, such as time series forecasting, Bayesian skills or NLP-GenAI. Proficiency in Python, including packages such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch. Experience with software engineering practices, agile methodologies, DevOps, and version control. Experience working with Azure Databricks or other data science frameworks. Familiarity with software testing and development practices (Agile). Experience with data visualization tools (e.g., Tableau, Power BI). Preferred Qualifications / Experience Commercial experience encompassing pricing, demand forecasting, and end-to-end value chain optimization are preferred. Prior experience in commercial software development or working in commercial software teams. Ability to identify and scope data science opportunities based on business needs. Strong communication and interpersonal skills, with the ability to work collaboratively in a global team environment. Excellent problem-solving skills and attention to detail. Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and ExxonMobil (@exxonmobil) Instagram photos and videos Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. 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Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We are seeking a DevOps Engineer for our team in Gurgaon. Graviton trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference analysing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. Developing tools to monitor system performance throughout our busy trading days Work with developers to deploy new servers and applications, reconfigure existing systems, and track changes made to the system Design, test, evaluate and build customized server hardware architectures/configurations Manage and maintain the big data solutions, storage and backup infrastructure Working with developers to help containerize their applications/services, migrate them to our hybrid cloud infrastructure running on Kubernetes, and scale them efficiently and reliably Automating existing support workflows and designing new tools to improve quality of support Architecting, implementing, and supporting CI/CD for complex distributed applications that are developed in languages such as C++, Python, Qualifications A Bachelor s degree in Computer Science with at least 5 years of programming experience Expertise in scripting languages, such as Bash /Shell / Python Thorough understanding of Linux Experience with containerization technologies (Docker) and container automation frameworks (Kubernetes) is desirable Experience of cloud platforms AWS /GCP and virtualization technologies Experience with CI/CD frameworks such as Jenkins, Concourse, Travis or CircleCI Good networking knowledge; familiar with main protocols, OSI layers, TCP/IP, DNS, DHCP Benefits: Our open and collaborative work culture gives you the freedom to innovate and experiment. Our cubicle free offices, non-hierarchical work culture and insistence to hire the very best creates a melting pot for great ideas and technological innovations. Everyone on the team is approachable, there is nothing better than working with friends! Our perks have you covered. Competitive compensation Annual international team outing Fully covered commuting expenses Best-in-class health insurance Delightful catered breakfasts and lunches A well-stocked kitchen 4 week annual leaves along with market holidays Gym and sports club memberships Regular social events and clubs After work parties