68 Network Analysis Jobs - Page 2

Overview: An accomplished Network Engineer Level 3 with extensive experience in designing, implementing, maintaining, and troubleshooting complex network systems. Demonstrated expertise in working with a range of networking technologies and protocols, ensuring optimal performance, scalability, and security across large-scale infrastructures. Key Skills:Mandatory Advanced proficiency in configuring and managing routers, switches, firewalls, and load balancers (Cisco Meraki/ASA, Sophos, SonicWALL, etc.). Expertise in routing and switching protocols (OSPF, EIGRP, BGP, MPLS, STP, VLANs). Strong understanding of network security protocols and practices (IPSec, VPNs, ACLs, NAT, firewall policies). Proficient in cloud networking solutions (AWS, Azure, Google Cloud). Experience with network monitoring and performance tools (SolarWinds, Nagios, PRTG). Strong understanding of SD-WAN technologies and solutions. Advanced troubleshooting and problem-solving skills for Layer 1 to Layer 3 issues. Proficiency in network automation tools and scripting (Python, Ansible). Knowledge of VoIP, QoS, and unified communication protocols. Familiarity with compliance standards (ISO, NIST, GDPR). Certifications: CCNP/CCIE (Cisco Certified Network Professional/Expert) JNCIP/JNCIE (Juniper Networks Certified Professional/Expert) CompTIA Network+ Certified Information Systems Security Professional (CISSP) – for enhanced security expertise. Experience: 5+ years of experience in managing enterprise-level networks. Successful track record in deploying scalable, high-availability solutions in large organizations. Proven ability to deliver results under pressure and meet project deadlines. Education: Bachelor’s or master’s degree in computer science, Information Technology, or related field. Soft Skills: Strong analytical and organizational skills. Effective communicator with the ability to simplify technical jargon for non-technical stakeholders. Leadership and project management capabilities. Team player with a collaborative approach. Tools and Technologies: Cisco IOS, JunOS, Palo Alto PAN-OS Network analysis tools (Wireshark, NetFlow) Automation platforms (Ansible, Puppet) Version control systems (Git) Cloud-native networking services (AWS VPC, Azure Virtual Network Roles and Responsibilities Design and implement advanced network solutions to meet the needs of large and complex infrastructures. Lead network upgrades and migrations to ensure minimal downtime and optimal performance. Manage and optimize routing and switching configurations for enhanced network efficiency. Collaborate with cross-functional teams to integrate network solutions seamlessly. Oversee network security measures to protect data integrity and guard against cyber threats. Mentor junior network engineers, providing guidance and support in project execution. Perform in-depth network analysis and diagnostics to pre-empt and resolve potential issues. Document network architecture and update technical manuals for accurate knowledge transfer. Stay updated with the latest trends in networking technologies and propose upgrades as needed.

We're Hiring: Multiple roles (BDE, PMO & Support, Full Stack developers, Network Analysts) HDSoft is a fast-growing provider of cutting-edge banking technology solutions, including Internet Banking Suites, E-Wallets, Centralized Payment Hubs, Monitoring & Reporting Systems. We're hiring for multiple roles to join our dynamic team and contribute to the successful delivery of our digital banking products. Open Positions: Role 1: Business Development Executive (0-2 yrs) Key Responsibilities Conduct market research to identify new business opportunities and industry trends. Perform cold calling to connect with prospective clients. Proactively reach out to potential customers via calls, emails, and networking channels. Present and pitch HDSoft's products and services to key decision-makers. Follow up strategically and convert qualified leads into active business clients. Consistently meet or exceed monthly sales targets in line with defined SLAs. Maintain client relationships for long-term business success. Requirements: Proven experience in B2B sales, client acquisition or cold calling preferred especially in the tech, software preferred but not mandatory. Excellent communication, persuasion, and negotiation skills. Self-motivated, goal-oriented, and proactive in pursuing sales leads. Freshers with strong communication skills and interest in sales are welcome to apply. Role 2: Full Stack Developers (3+ yrs) Key Responsibilities: Lead a development team to design, develop and maintain both front-end and back-end components of web-based banking applications. Write clean, error free, and scalable code to ensure robust performance and maintainability. Ensure smooth communication and collaboration across teams and consistently meet deadlines without escalations. Build responsive, high-performance user interfaces using modern front-end technologies. Develop and integrate server-side logic using Java, Spring Boot. Work with databases like SQL, MySQL or PostgreSQL to handle data storage and retrieval. Ensure best coding practices and mentor junior team members. Lead team meetings, provide feedback, and ensure timely delivery of high-quality software. Participate in the design and implementation of system architecture to enhance scalability and performance. API development, integration to support third-party services and internal systems. Coordinate User Acceptance Testing (UAT) to ensure the application meets client and project requirements. Manage production deployments and troubleshooting, ensuring smooth transitions from development to production. Requirements: 3+ years of experience as a Full Stack Developer only. Strong ability to ensure projects go without escalations, managing risks and resolving issues proactively. Strong proficiency in Java, Spring Boot, Node.js and SQL for back-end development. Proficient in HTML, CSS, Bootstrap and modern front-end frameworks like Angular. Hands-on experience with MySQL, SQL Server, or PostgreSQL for database management. Knowledge of RESTful APIs, microservices, and Agile development methodologies. Strong leadership, communication, and mentoring skills. Knowledge of version control using Git. Bachelor's degree in computer science, Engineering, or related field. Role 3: Full stack developers (0-3 yrs) Key Responsibilities: Assist in the development of software applications using front-end and back-end technologies. Write clean, readable, and scalable code under the guidance of senior developers to code, test, and debug applications. Work on UI/UX integration using HTML, CSS, Bootstrap, and JavaScript frameworks. Write backend code and perform API integrations using Java, Spring Boot, Node.js, or Express. Handle database operations using SQL or related database systems. Support UAT testing and assist in production deployment tasks. Contribute to a collaborative and low-escalation work environment. Requirements: Knowledge of Java , Spring Boot , Node.js and SQL . Familiarity with front-end technologies like HTML , CSS , Bootstrap , JavaScript , and at least one framework (React or Angular). Strong problem-solving skills and willingness to learn and grow. Ability to communicate clearly. Internship or academic project experience in full stack development is a plus. Bachelor's degree in Computer Science, IT, or related field. Role 4: Network Analyst (0-1 yrs) Key Responsibilities: Manage, optimize, and secure our network operations, while also supporting DevOps, UAT, Production Environments, and on-premises servers. Configure and manage routers, switches, firewalls, load balancers, and wireless access points. Monitor network performance to ensure high availability and performance. Act as the first point of contact for troubleshooting and isolating network and infrastructure issues. Provide Level 1 and Level 2 support, handling escalations as per defined SLAs with minimal customer impact. Maintain shift logs and incident reports while supporting 24x7 operational coverage. Perform routine server maintenance, backups, patching, and ensure server health compliance. Manage and maintain network and system documentation, including change logs and incident resolutions. Implement and monitor network security protocols such as IPSEC, HSRP, OSPF, BGP, VLANs, VPNs, ACLs, and intrusion detection systems. Troubleshoot network issues related to TCP/IP, DNS, DHCP, SMTP, HTTP/S, SNMP, and Syslog. Support on-call rotation, flexible shifts, and work during weekends or holidays as needed. Ensure strict adherence to change management processes and internal SOPs. Communicate effectively with both technical and non-technical teams, including customers and vendors. Assist in regular UAT and production deployments ensuring minimal disruptions. Proactively identify and address potential network vulnerabilities. Required Skills Hands-on knowledge of routing protocols and networking protocols. Operating Systems: Windows, Linux, RHEL. Knowledge of networking protocols and models: OSI Model, TCP/IP. Experience with LAN/WAN, Wireless infrastructures and platform OS operations. Experience supporting and troubleshooting local servers, virtualization, and cloud infrastructure. Familiarity with network hardware: Routers, Switches, Firewalls, Load Balancers. Basic Linux/Windows server administration and patching experience. Experience supporting UAT and production environments is a must. Understanding of the OSI model and security practices in network infrastructure. Working knowledge of DevOps environments and CI/CD impact on networks. Good communication and documentation skills. Bachelor's degree in Computer Science, IT, or related field. Preferred Certifications: CCNA / CCNP Role 5: PMO & Support (0-3 yrs) Key Responsibilities Assist Project Managers in tracking project timelines, tasks, and milestones Maintain and regularly update project documentation, client trackers, and status reports Coordinate with internal teams (Development, QA, Support) and external stakeholders Schedule and support client calls, product demos, UATs, and deployments Follow up on UAT progress, client signoffs, and deployment checklists Document and circulate meeting minutes, release notes, and action items Monitor project progress and escalate risks or delays as needed Act as the first point of contact for client support tickets and queries Log, track, and follow up on client issues to ensure timely resolution Collaborate with internal teams to resolve functional and technical issues Provide basic functional support for banking modules (Payments, QR, Wallet, etc.) Coordinate post-deployment support and handle production issue escalations Prepare and maintain support trackers, reports, and client communication logs Required Skills Good understanding of Agile SDLC and task management Proficient in MS Excel, PowerPoint, and tools like Jira. 0-3 yrs of experience in client supporting, project coordination, project delivery roles. Strong communication, follow-up, and organizational skills Why Join HDSOFT? Work with banks across Tanzania, Djibouti, Comoros and more. Collaborate with a passionate and experienced fintech team. Opportunity to learn, grow, and advance your career in payments & banking domain.

Job Title - S&C GN - Data Science Analyst Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If youre passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | Accenture Qualifications Experience & Educational Qualification: PhD with 1+ years of relevant experience, OR. Master’s degree with 2+ years of experience, OR Bachelor’s degree with 3+ years of experience.

Job Title - S&C GN - Data Science Analyst Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If youre passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | Accenture Qualifications Experience & Educational Qualification: PhD with 1+ years of relevant experience, OR. Master’s degree with 2+ years of experience, OR Bachelor’s degree with 3+ years of experience.

Job Title - S&C GN - Data Science Analyst Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If youre passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | Accenture Qualifications Experience & Educational Qualification: PhD with 1+ years of relevant experience, OR. Master’s degree with 2+ years of experience, OR Bachelor’s degree with 3+ years of experience.

Job Title - S&C GN - Data Science Analyst Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If youre passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | Accenture Qualifications Experience & Educational Qualification: PhD with 1+ years of relevant experience, OR. Master’s degree with 2+ years of experience, OR Bachelor’s degree with 3+ years of experience.

Job Title - S&C GN - Data Science Analyst Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If youre passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | Accenture Qualifications Experience & Educational Qualification: PhD with 1+ years of relevant experience, OR. Master’s degree with 2+ years of experience, OR Bachelor’s degree with 3+ years of experience.

Carry out in-depth investigation on security events, raise incidents and support the Incident Management process. Provide remote incident response activities and advice to support customers during and immediately after security incidents. Respond to system generated alerts, analyze logs and traffic patterns. Maintain and improve SIEM correlation rules and Endpoint Protection detections. Supporting multiple customer environments concurrently. Provide analysis and trending of security log data and network traffic. Generate customer facing security reports. Integrate and share information with other analysts and other teams. Other duties as assigned. REQUIREMENTS: Has a passion for security and enjoys solving problems. Experience working with SIEM and EDR systems. Good knowledge of Cyber Security Incident Response processes & procedures. Excellent knowledge on the fundamentals of Windows and Unix systems. Good understanding of host forensics, memory forensics and network forensics. In-depth knowledge of the security threat landscape. Knowledge of various security methodologies and processes, and technical security solutions. Knowledge of TCP/IP Protocols, network analysis, and network/security applications. Knowledge of investigation techniques to determine security incidents. Ability to multi-task, prioritize, and manage time effectively. Strong attention to detail. Excellent interpersonal skills and professional demeanor. Excellent verbal and written communication skills. Excellent customer service skills. Industry standard certifications such as: CREST CRT, GCFA, GCFE, GNFA, GREM. 4+ years experience as a Cyber Security Analyst or equivalent. Experience of working in an MSSP/MDR SOC environment. Ability to work a shift rota. In order to be considered for a position at Kroll, you must formally apply via careers.kroll.com Kroll is committed to equal opportunity and diversity, and recruits people based on merit #LI-TM1 #LI-Remote

Management Level Ind & Func AI Decision Science Analyst Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. Must-have skills: Programming languages -Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications. Good to have skills :Big data technologies such as Spark or Hadoop,AI model explainability(XAI),bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques. Job Summary We are looking for a Data Scientist / AI Specialist with 1-3 years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges. Roles & Responsibilities: Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients. Work with Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants. Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications. Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions. Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use. Utilize MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives. Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Professional & Technical Skills: 1-3 years of experience in Data Science, Machine Learning, or AI-related roles. Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API. Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications. Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.). Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications. Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. Strong problem-solving and analytical thinking abilities. Ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus:Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins). Additional Information: Bachelor/Master's degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record /MBA from top-tier universities. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 1-3 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Master’s degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

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Job Title - S&C GN - Data Science Analyst Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If youre passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | Accenture Qualifications Experience & Educational Qualification: PhD with 1+ years of relevant experience, OR. Master’s degree with 2+ years of experience, OR Bachelor’s degree with 3+ years of experience.

Job Title - S&C GN - Data Science Analyst Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If youre passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. About Our Company | Accenture Qualifications Experience & Educational Qualification: PhD with 1+ years of relevant experience, OR. Master’s degree with 2+ years of experience, OR Bachelor’s degree with 3+ years of experience.

Who we are: The Opportunity : JD: Lead II - Engineering Design Role Definition Supplier Engineer responsible for managing overall supplier manufacturing, operation issue across supplier base, ensuring process controls are established and ensure throughout the supplier s entire manufacturing process Responsibilities Deliverables Involve in Supplier Issue Resolution Work on Corrective Actions Implementation, Collaborate w/ cross functional team during issue resolution, Develop Propose supplier Improvement Plan Proliferate Key learnings Document into BKM wherever applicable Assist in the supplier technical audit process and evaluate supplier performance / capability, drive continuous improvement opportunities at supplier. Education Experience Electrical / Instrumentation Engineering or equivalent w/ min 4-5 years in Supplier Development / Supplier Quality role Overall, 8-15 years of experience Skills Required Desired Thorough understanding of Electrical Engineering Discipline, experience in various commodities like electrical and electronics components, RF components, network analyzer, box builds, AC racks, circuit breakers, utilities and electrical connections, interconnects and interface connections, power cable and PCBA Ability to read / Interpret drawing, Good understanding on various Manufacturing / Assembly process of Electrical Components Hands-on with problem solving methodologies, efficient in 8D, CAPA etc Understanding on Electrical Accessories on vacuum and associated process will be added advantage Efficiency in written Oral communication Good working level exposure to MS Excel, PowerPoint What we believe: We re proud to embrace the same values that have shaped UST since the beginning. Since day one, we ve been building enduring relationships and a culture of integrity. And today, its those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion and to place people at the centre of everything we do. Humility: We will listen, learn, be empathetic and help selflessly in our interactions with everyone. Humanity: Through business, we will better the lives of those less fortunate than ourselves. Integrity: We honor our commitments and act with responsibility in all our relationships. Equal Employment Opportunity Statement UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. To support and promote the values of UST. Comply with all Company policies and procedures

Purpose of Role Position Title Manager - GIS Platforms Position Summary We are seeking an experienced Manager for GIS Platforms to oversee and manage the GIS platform and its applications. The candidate will work within the Digital IT team, collaborating with IT infrastructure teams (database, network, server, etc.) and business units. The role involves project management, ensuring smooth operation, optimization, and enhancement of GIS services while following industry best practices and internal standards Position Demands Bachelors degree (BE/BTech/MTech) or a relevant field Minimum of 6 years in GIS platform and project management. Key Accountabilities / Responsibilities Strong understanding of GIS platform management and project management methodologies. Experience in handling GIS projects and coordinating with cross-functional teams. Expertise in ESRI suite, including ArcGIS Enterprise. Knowledge of geospatial and mapping concepts such as spatial analysis, 3D Analysis, and Network Analysis. Ability to manage GIS data, workflows, and integrations efficiently. Competencies Behavioural - Achievement Orientation Behavioural - Altrocentric Leadership Behavioural - Analytical Decision Making Behavioural - Customer Service Orientation Behavioural - Impact and Influence Behavioural - Information Seeking Behavioural - Initiative Behavioural - Innovative Thinking Functional - Financial Functional - Operational Functional - People Functional - Strategic About Us Sterlite (formerly Sterlite Power) is a leading global provider of power products and services, delivering high-performance solutions that drive energy efficiency and reliability worldwide. With a presence in 70+ countries, we manufacture and supply power conductors, EHV, HV & MV cables, and OPGW, supporting the evolving needs of modern power grids. Beyond manufacturing, our turnkey EPC solutions specialize in upgrading, uprating, and fiberizing existing transmission infrastructure, ensuring smarter, more resilient power networks. As we expand our global footprint, our focus remains on innovation, sustainability, and green energy solutions that shape the future of energy transmission. At Sterlite, we are committed to empowering progress with cutting-edge technology, sustainable practices, and world-class expertise - ensuring a smarter, more connected energy future.

- Design, implement, and manage scalable, secure, and reliable cloud infrastructure on Azure. - Perform regular system monitoring, verify the integrity and availability of all cloud-based resources, and troubleshoot issues as needed. - Automate and streamline operations and processes using DevOps tools and methodologies, including Jenkins. - Collaborate with development teams to ensure seamless integration and continuous delivery. - Manage and optimize performance, utilization, and costs in the Azure cloud environment. - Conduct root cause analysis for incidents, identify and implement corrective actions to prevent future occurrences. - Ensure compliance with security policies, standards, and best practices. Requirements Required Skills and Qualifications: - Extensive experience with Azure cloud services including computing, storage, networking, and security. - Proficiency in scripting and automation using tools like PowerShell, Shell Scripts, Crons, Azure CLI, ARM templates, Terraform, and Ansible. - Strong understanding of DevOps practices, including CI/CD pipelines with Jenkins, version control (e.g., Git), and configuration management. - Experience with monitoring and logging tools such as Graylog, Nagios, and Azure Monitor. - Excellent troubleshooting skills with a systematic approach to problem-solving. - Hands-on experience with Linux systems. - Familiarity with network analysis tools like WireShark. - Knowledge of security tools such as Vault. - Python proficiency is a plus. - Ability to work in a fast-paced, collaborative environment and manage multiple priorities. - Strong communication and interpersonal skills. Educational Background: - Bachelordegree in computer science, Information Technology, or a related field. Preferred Qualifications: - Azure certifications (e.g., Azure Administrator, Azure DevOps Engineer). - Experience with containerization technologies such as Docker and Kubernetes. - Knowledge of other cloud platforms like AWS or Google Cloud is a plus. Shift Details: - Open to rotational shifts with 12x7 support. - 5 working days a week, with 9-hour shifts

Build and maintain web-based GIS solutions using ArcGIS Online. Perform advanced spatial and network analysis using ArcGIS Pro. Configure and maintain ArcGIS Online Datasets from internal database feeds. Ensure data integrity, performance across GIS applications. Work proactively to improve GIS workflows and implement solutions with minimal guidance. Support team progress and project tracking, assisting where needed. Qualifications Experience 3-4 years of experience in GIS analysis and spatial data engineering. Degree in GIS, Computer Science, Data Engineering, Geography, or a related field. Expertise in ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise, and ModelBuilder. Familiarity in Python, JavaScript, SQL, and spatial database management. Familiarity with Agile project management methodologies. Strong initiative, problem-solving skills, and ability to work independently in a remote team. Desirable Skills Knowledge of spatial data visualisation and familiarity with the Adobe Creative Cloud Suite. Basic understanding of commercial real estate and property economics.

JLL empowers you to shape a brighter way . Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you ve got deep experience in commercial real estate, skilled trades or technology, or you re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. GIS Engineer JLL Technologies Centre of Expertise What this job involves: About the Role #JLLTechAmbitions As a GIS Engineer at JLLT, you will develop scalable geospatial applications, web mapping solutions, and spatial databases using and the full Esri suite. This role is highly technical, requiring 3-4 years of experience in spatial data engineering, GIS analysis, and web mapping. You will be responsible for developing GIS solutions, automating workflows, and optimising spatial databases while keeping track of team progress and assisting where needed. The role requires a strong work ethic, problem-solving mindset, and the ability to work independently while proactively identifying solutions and improvements. Key Responsibilities Impact Build and maintain web-based GIS solutions using ArcGIS Online. Perform advanced spatial and network analysis using ArcGIS Pro. Configure and maintain ArcGIS Online Datasets from internal database feeds. Ensure data integrity, performance across GIS applications. Work proactively to improve GIS workflows and implement solutions with minimal guidance. Support team progress and project tracking, assisting where needed. Qualifications Experience 3-4 years of experience in GIS analysis and spatial data engineering. Degree in GIS, Computer Science, Data Engineering, Geography, or a related field. Expertise in ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise, and ModelBuilder. Familiarity in Python, JavaScript, SQL, and spatial database management. Familiarity with Agile project management methodologies. Strong initiative, problem-solving skills, and ability to work independently in a remote team. Desirable Skills Knowledge of spatial data visualisation and familiarity with the Adobe Creative Cloud Suite. Basic understanding of commercial real estate and property economics. What we can do for you: You ll join an entrepreneurial, inclusive culture. One where we succeed together - across the desk and around the globe. Where like-minded people work naturally together to achieve great things. Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits and pay. Join us to develop your strengths and enjoy a fulfilling career full of varied experiences. Keep those ambitions in sights and imagine where JLL can take you... Apply today! Apply today! Location: On-site -Bengaluru, KA If this job description resonates with you, we encourage you to apply even if you don t meet all of the requirements. We re interested in getting to know you and what you bring to the table! JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity and Affirmative Action policy here . Jones Lang LaSalle ( JLL ) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may contact us at Accommodation Requests . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

Project Role : Application Tech Support Practitioner Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have skills : HPE Network Management Center Good to have skills : Python (Programming Language) Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Role:Monitoring Tool SpecialistRole Description:Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running.Must Have Skills:Candidates should have 14+ years industry experience in managing tools MF NNM Applications and Excellent network analysis fundamentals and robust troubleshooting skills Good To Have Skills:MF NPS/NA/UCMDB/Sitescope/OBM and Server Operating System (Windows/Unix/Linux), Network & Application Monitoring tools Knowledge. Industry Standard tool certifications will be preferred.Job Requirements:Key Responsibilities :a. NNM/NPS/NA/iSPI's Installation/Upgrade with ApplicationFailover and HA Environment.b. NNM Integration with multiple MF Tools as well as 3rd party tools.c. NNM/NA discovery and DDP Installationd. Configuring LDAP, SMTP and SSL on NNM/NA.e. Performing Router, Switches, Firewall, Load balancer discovery/trubleshooting.f. Troubleshooting of discovery failure and inetgation related issues.g. NPS Standard and customization reports and schudling.h. Experince on NNM/NPS/NA/iSPI migration.Technical Experience:a. Installation of Installation.b. Integration with NPS/NA/UCMDB, OBM and 3rd party tools like mywizard.c. Basic and Advanced Discovery Knowledge.d. NNM/NPS/NA console, custompoll, SNMP Traps, monitoring setting.e. Scripting - Perl, Shell, etc. for any cutomization and automation in NNM. Professional Experience: Good understanding of ITIL framework Flexible to work in 24x7 environment Should have knowledge of SLAs OLAs and KPIs Well versed corporate ethics and compliance Team player who also works well independently self-motivated Work on the service improvement programs. Educational Qualification:Bachelor degree or Engineering and 15 years of full time education. Additional Information:Good communication, presentation, technical documentation, and collaboration skills. Qualifications 15 years full time education

We are seeking an experienced Security and Application Engineer to lead the successful mobilization and delivery of Access Control & CCTV Technology Projects. This role involves supporting enterprise-level application selection and implementation, including migrating from legacy systems. The incumbent will implement physical security standards in Accenture facilities and provide essential support to Global Assistance and Protection (GAP) business partners, vendors, and facilities team members. Responsibilities include delivering security projects within a complex corporate environment that values collaboration, independent thinking, proactive problem-solving, integrity, efficiency, and continuous organizational transformation. Responsibilities/Accountabilities: Responsible for leading the global team for day-to-day operations of the access control, security video, and mass notification systems . Responsible for identifying talent / experience gaps within team and creating a global plan to improve overall operational support and business resiliency . Responsible for ensuring completion of system projects, including requirements gathering, system / solutions design, deployment within agreed deadlines and budget, and any potential issues escalated in line with internal policy while maintaining the clients' best interests . Initial consultation with clients to develop the client requirements / scope of works . Act as a point of escalation for the group both technically and operationally . Prepare an outline and detailed e nterprise a rchitecture, s olutions d esign, and associated documentation . Prepare technical specifications, solutions design information, system schematics, etc. Support the system implementation / deployment activities, including active involvement in the set-up, programming, configuration, and implementation activities . Support commissioning activities and project completion activities . Qualifications : A bachelors degree in engineering or computer science or related field or an associates degree or equivalent with sufficient experience.? 5+ years experience in physical security systems in projects and software house products service support. They should be well conversant with TCP/IP protocols, network/security applications, network analysis, and common applications.? Preferred - CCURE Level 2 - 4 Certification, must have CCURE Level 1 with industry experience.? Genetec Security Center 5.x Omnicast (Video) Technical Certification.? Genetec Mission Control Admin Training.? Knowledge of Physical Security Information Management.??? Knowledge of Application Security, expertise in Assistance and Protection components including Physical Access Security, Remote Monitoring, Alert Management, Security Operations Center Delivery / Support, managing incident, troubleshooting, testing of incident, automated workflow ticketing systems support and networking principles.?

About Us: SKYTEX is a cutting-edge startup founded in 2016 that is revolutionizing the world of aerial technology with our innovative drone solutions. We are a team of passionate engineers and drone enthusiasts dedicated to pushing the boundaries of what is possible in the field of unmanned aerial vehicles (UAVs). Our portfolio consists of Surveillance and combat drones like high altitude multi-rotor drones as well as high endurance VTOL fixed wings and Drone Swarms. At SKYTEX, we believe that drones have the power to transform industries and improve peoples lives in countless ways. That is why we are committed to developing drone technology that is smarter, faster, and more versatile than anything that has come before. We strongly believe that our success depends on our people. That is why we put people first in everything we do. We would grow as a diverse and inclusive organization that values the unique perspectives and contributions of each member of our team. Our culture is always evolving, and we believe in being open and honest with our employees, customers, and stakeholders. We encourage our employees to take ownership of their work, to think like entrepreneurs, and to constantly seek out new opportunities for growth and development. By living these values every day, we are creating a culture of excellence, collaboration, and innovation that sets us apart and helps us achieve our goals. Role Objective We are seeking a skilled UAV Communication and Network Engineer to design, configure, and optimize communication systems for UAVs. The ideal candidate will be responsible for the selection and configuration of Software-Defined Radios (SDRs), antennas, and network topologies to enable robust and secure communication between UAVs and ground systems, as well as within swarming UAVs Key Responsibilities and Accountabilities SDR and Antenna Selection: Identify and select suitable Software-Defined Radios (SDRs) and antennas for UAV communication systems based on performance, range, and application requirements. Evaluate communication hardware for multi-frequency bands and protocols (e.g., LoRa, Wi-Fi, LTE, 5G). SDR Configuration and Optimization: Configure SDRs for optimal performance, including modulation schemes, frequency selection, and power settings. Develop and test firmware or software for SDR-based communication systems. Network Topology Design: Design and implement network topologies for UAV-to-ground and UAV-to-UAV communication (e.g., mesh, star, hybrid). Ensure secure and low-latency communication for real-time data transmission. Testing and Validation: Conduct field tests to validate communication systems performance under varying environmental conditions. Troubleshoot and resolve hardware and software communication issues. Documentation and Reporting: Prepare technical documentation, including system designs, test plans, and reports. Provide input to engineering teams for system integration and support during production. Skills and Qualifications: Bachelor s or master s degree in Electronics, Telecommunications, Electrical Engineering, or a related field. Minimum 3years of Experience in UAVs, handling the above functions Proven experience with SDRs, antennas, and RF communication systems. Proficiency in configuring SDR platforms such as Doodle Labs, Microhard and Silvus. Strong understanding of network protocols and topologies (e.g., TCP/IP, UDP, MANETs). Experience with tools for RF and network analysis (e.g., MATLAB, GNU Radio, Wireshark). Familiarity with UAV communication challenges such as mobility, line-of-sight constraints, and interference. Knowledge of encryption protocols and cybersecurity principles for secure communication. Strong problem-solving and analytical skills. Personal Attributes: Self-starter with a keen sense of initiative and ownership Collaborative team player who enjoys working in a dynamic environment Detail-oriented and able to manage multiple projects simultaneously Passion for drones and unmanned aerial technology Working Conditions: This is a full-time position based in Bengaluru that may require occasional evening or weekend work May require travel to customer sites or other company locations Salary and Benefits: Competitive salary based on experience and qualifications Health insurance Paid time off and holidays Opportunities for professional development and growth

Develop and lead research initiatives in areas such as Natural Language Processing, Computational Social Science, Computer Vision, and Machine Learning. Collaborate with product teams to turn research advances into impactful products. Design challenging evaluations related to creative intelligence and marketing performance. Develop scalable synthetic data generation and evaluation techniques. Manipulate and analyze complex, high-volume, high-dimensionality data from diverse sources. Train models and run experiments to study data and model quality. Iteratively refine research experiments and clearly communicate insights to the team. Integrate core machine learning models into the Adobe Experience Manager and Adobe Experience Platform. Collaborate with product, design, and engineering teams to rapidly prototype and transition conceptual prototypes from research to production. Requirements Proven expertise in one or more of the following areas: Large Language Models, Computer Vision, Natural Language Processing, Computational Social Science, Behavioral Sciences, Agentic Workflows, Social Network Analysis, Causal Inference, Recommendation Systems, Multimodal Content Understanding. Multiple publications in top-tier conferences such as ICLR, NeurIPS , ICML, PNAS, Nature, Science, ACL, EMNLP, CHI, WWW, KDD, ICCV, ECCV, CVPR, etc. Hands-on experience and a track record of deploying solutions in production environments. Experience in deriving concrete conclusions and actionable insights from large datasets. Ability to take research risks and solve hard problems independently. BTech (for research associates) or PhD degree or equivalent experience (for research scientists) in industrial research in Computer Science, Statistics, Economics, or other relevant technical fields. For senior positions, a minimum of seven years of post-PhD experience is required. You Will Thrive In This Role If You: Are a great teammate who is willing to take on a variety of tasks to contribute to the success of the team Have a proven track record and an impulse for empirical research, answering complex questions with data. Are capable of leading ambitious projects and possess clear communication skills. Have familiarity with crafting quality research experiments and evaluations with rapid iterations. Have experience working in complex technical environments, improving research velocity. Possess a flexible analytic approach that allows for results at varying levels of precision. Have familiarity with relational databases and SQL. Bonus: Experience with large-scale data systems such as Beam or Spark.

Develop and lead research initiatives in areas such as Natural Language Processing, Computational Social Science, Computer Vision, and Machine Learning. Collaborate with product teams to turn research advances into impactful products. Design challenging evaluations related to creative intelligence and marketing performance. Develop scalable synthetic data generation and evaluation techniques. Manipulate and analyze complex, high-volume, high-dimensionality data from diverse sources. Train models and run experiments to study data and model quality. Iteratively refine research experiments and clearly communicate insights to the team. Integrate core machine learning models into the Adobe Experience Manager and Adobe Experience Platform. Collaborate with product, design, and engineering teams to rapidly prototype and transition conceptual prototypes from research to production. Requirements Proven expertise in one or more of the following areas: Large Language Models, Computer Vision, Natural Language Processing, Computational Social Science, Behavioral Sciences, Agentic Workflows, Social Network Analysis, Causal Inference, Recommendation Systems, Multimodal Content Understanding. Multiple publications in top-tier conferences such as ICLR, NeurIPS, ICML, PNAS, Nature, Science, ACL, EMNLP, CHI, WWW, KDD, ICCV, ECCV, CVPR, etc. Hands-on experience and a track record of deploying solutions in production environments. Experience in deriving concrete conclusions and actionable insights from large datasets. Ability to take research risks and solve hard problems independently. BTech (for research associates) or PhD degree or equivalent experience (for research scientists) in industrial research in Computer Science, Statistics, Economics, or other relevant technical fields. For senior positions, a minimum of seven years of post-PhD experience is required. You Will Thrive In This Role If You: Are a great teammate who is willing to take on a variety of tasks to contribute to the success of the team Have a proven track record and an impulse for empirical research, answering complex questions with data. Are capable of leading ambitious projects and possess clear communication skills. Have familiarity with crafting quality research experiments and evaluations with rapid iterations. Have experience working in complex technical environments, improving research velocity. Possess a flexible analytic approach that allows for results at varying levels of precision. Have familiarity with relational databases and SQL. Bonus: Experience with large-scale data systems such as Beam or Spark.

At CoreLogic, we are driven by a single mission to make the property industry faster, smarter, and more people-centric. CoreLogic is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. CoreLogic is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; its a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At CoreLogic, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, were working together to set the pace for unlocking new possibilities that better serve the property industry. Job Description: Diagnose model performance issues; research, implement and test alternative options; prepare analyses; and deploy solutions. Conduct complex statistical analyses of real estate, mortgage, and insurance related data. Apply machine learning and data mining techniques to discover patterns from large and complex datasets. Make forecasts and predictions based on modeling and analysis of multiple economic and human factors. Prepare and maintain programs and documentation for models. Perform modeling and analysis using various data mining, machine learning, statistical, and mathematical techniques. Drive the re-engineering of current production models and their prototypes as needed. Lead and manage quantitative and qualitative research projects independently. Assess and communicate research results to internal stakeholders. Understand business requirements and conceptualize analytic solutions to those business problems. Regularly engage cross functional teams to research, define, and implement analytic solutions within a broad business function. Troubleshoot and drive solutions on a wide variety of highly complex problems. Research and test GenAI best practices and solutions for emerging issues, as appropriate. Job Qualifications: Master s degree in Economics, Mathematics, Computer Science, Data Science, Machine Learning, Statistics, Physics or related field. At least 8 years industry or academic experience in AI, machine learning techniques, data mining, statistical modeling and/or pattern recognition model building for clients on real world problems Proficiency in network analysis and graph theory is a plus Experience building and maintaining models in a cloud environment Proficiency in at least one of the following programming languages: Python, Java, R, C++, Scala Must have big data expertise, such as Spark, Hadoop, Hive, etc. Experience integrating GenAI into production solutions a plus. Team player, willing to assist and jump into a project at any point as needed Detail oriented; strong presentation skills, experienced with client interaction. Ability to communicate effectively and in a professional manner to key stakeholders and explain business needs to technical personnel. Solid interpersonal skills. Must be able to communicate clearly to partners and colleagues verbally and in written form. Able to manage multiple, complex projects simultaneously. Able to effectively present analytic insights and modeling techniques internally and externally CoreLogics Diversity Commitment: CoreLogic is fully committed to employing a diverse workforce and creating an inclusive work environment that embraces everyone s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences. Equal Opportunity Employer Statement: CoreLogic is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to religion, race, caste, sex, descent, place of birth, residence or any of them, be ineligible for, or discriminated against in respect of, any employment or office under the State. CoreLogic maintains a Drug-Free Workplace. Please apply on our website for consideration. Privacy Policy Global Applicant Privacy Policy | CoreLogic Connect with us on social media! Click on the quicklinks below to find out more about our company and associates.

Entity :- Accenture Strategy & Consulting Team :- Global Network – Data & AI Practice :- Health Analytics Title :- Data Science Analyst Job location :- Gurgaon/Bangalore/Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition Health Care Analytics Practice focused to support Payer and Provider clients reimagine and design variety of custom business contextual solutions and bring pre-built capabilities to life in their journeys to harness the power of data. WHAT'S IN IT FOR YOU? Conduct data wrangling and analysis on healthcare claims, provider datasets, and publicly available health data. Develop predictive models using data science and AI techniques to address client needs. Utilize natural language processing (NLP) capabilities to extract insights from unstructured data sources. Collaborate with cross-functional teams to implement analytics solutions effectively. Translate complex data findings into clear, concise, and actionable strategies. What you would do in this role Responible for taking up day-to-day activities for making deliverables to the Client. Duties and Responsibilities: Act as a Data Scientist for data handling, extraction, manipulation; creating structured form of data and pulling tangible insights from data. Take inputs from the Manger/Consultant to develop statistical models (predictive modeling, forecasting etc.) and apply appropriate techniques such as Exploratory Analysis, Regression, Segmentation etc. Prepare summary of results for in-house discussion and take feedback whenever/wherever required. Develop executive dashboards to present the analytical insights derived from the data analysis. Qualifications Who are we looking for? Proficiency & Experience: 1-4 years of experience in Health Analytics Strong ability to extract strategic insights from large data sets. Adept with using Statistical (like forecasting/modeling, optimization models), Machine Learning (GBM, Decision Trees etc.), AI techniques (Deep Learning) Skills: Proficient in data handling suites PYTHON, Spark, SQL, or similar packages Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical businesspeople. Strong aptitude, ability, motivation, and interest in placing quantitative analysis in the context of marketing and business economics. Adept with knowledge & working on Visualization tools like Tableau, POWER BI, etc. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Job Title : SOC Engineer Schedule : Full-time Shift : Day Job Job Description: Minimum of 3 years of experience in Cyber security At least 2 years of working in the Vulnerability assessments Requirements: Proficient in Incident Management and Response. In-depth knowledge of security concepts such as cyber-attacks and techniques, threat vectors, risk management, incident management etc. Provide threat and vulnerability analysis as well as security advisory services. Analyse and respond to previously undisclosed software and hardware vulnerabilities. Investigate, document, and report on information security issues and emerging trends Integrate and share information with other analysts and other teams;Other tasks and responsibilities as assigned. Working Knowledge of Vulnerability assessment tools is must. Experience with scripting and programming with tools like Perl, Python is an added advantage. Knowledge of various operating system flavours including but not limited to Windows, Linux, Unix. Knowledge of TCP/IP Protocols, network analysis, and network/security applications;. Knowledge of common Internet protocols and applications. Communicate effectively by contributing significantly to the development and delivery of a variety of written and visual documents for diverse audiences. Knowledge about various tools like SIEM, SSL, Packet Analysis, HIPS/NIPS, Network. Monitoring tools, Web Security, AV, UBEA, Email and SOC. Ready to travel to UAE if required for project implementation