Cloud AI Solutions Specialist Jobs in Mumbai
204 Jobs Found
Senior Vice President Data, Ai & Cloud
Neogrowth Credit
Position Title: Senior Vice President Data, AI & Cloud Location: Mumbai Department: Technology Role Overview We are seeking a visionary technology leader to serve as Senior Vice President Data, AI & Cloud, responsible for architecting and executing our enterprise-wide data, AI/ML, and cloud strategy. This is a transformative leadership role that combines deep technical expertise with strong business acumen to drive innovation, operational efficiency, and intelligent decision-making across the organization. You will lead platform modernization, enable large-scale AI/ML adoption, and optimize cloud infrastructure, all while building a culture where data and AI are embedded in everyday decision-making. The ideal candidate will be both a strategic thinker and a hands-on technologist capable of translating cutting-edge developments like generative AI and LLMs into practical enterprise applications. Key Responsibilities Strategic Leadership Define and implement a cohesive strategy across Data, AI/ML, and Cloud aligned with enterprise objectives. Drive AI democratization by embedding intelligence in core workflows and decision systems. Champion a data-driven, innovation-first culture across both business and technology teams. AI Advocacy & Adoption Act as the internal evangelist for AI leading awareness, education, and enablement initiatives. Partner with cross-functional teams (product, credit, operations, etc.) to co-create impactful AI solutions. Translate advanced AI technologies (LLMs, generative AI, agentic workflows) into scalable enterprise applications. AI/ML Delivery & Innovation Lead end-to-end development and deployment of AI/ML solutions across key areas: credit scoring, collections, fraud detection, automation, and customer insights. Promote the adoption of LLMs and generative AI to power personalization and intelligent decisioning systems. Institutionalize MLOps, Infrastructure-as-Code (IaC), and model observability practices. Data Platform & Governance Overhaul and modernize data architecture with real-time, scalable, cloud-native solutions. Establish and enforce robust data governance, data quality, privacy, and compliance practices (aligned with RBI and other regulatory norms). Cloud Infrastructure & Optimization Architect and maintain a secure, scalable, cost-optimized AWS environment. Implement best-in-class DevOps, Infrastructure-as-Code, and monitoring practices using tools like Terraform, Kubernetes, and Cloud-native observability suites. Team & Capability Building Build and lead high-performing teams across Data Engineering, ML Engineering, and Cloud Operations. Mentor and inspire talent to drive innovation and cross-functional collaboration. Technology Stack AI/ML: Python, TensorFlow, PyTorch, MLflow, LangChain, LLMs, Agentic Workflows Cloud (AWS): S3, EKS, ECR, Lambda, CloudWatch, CloudTrail, IAM, SageMaker, Bedrock Databases: RDBMS, Amazon Redshift, MongoDB DevOps & Infrastructure: Terraform, Kubernetes, CI/CD tools, ETL pipelines Desired Candidate Profile 12+ years of progressive experience in data engineering, AI/ML, and cloud infrastructure roles, with at least 5 years in a leadership capacity. Proven success in leading data platform modernization and delivering enterprise-scale AI solutions in regulated industries preferably financial services. Deep hands-on expertise with Python, ML frameworks (TensorFlow, PyTorch), MLOps tools (MLflow), and generative AI platforms (LangChain, LLMs). Strong understanding of financial data, credit models, risk analytics, and compliance requirements (including RBI regulations). Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field
Senior Manager Generative AI & Innovation Lead
Neogrowth Credit
Position Title: Senior Manager Generative AI & Innovation Lead Location: Mumbai Department: Data Science, AI & Innovation Job Summary We are looking for a forward-thinking and execution-focused Generative AI & Innovation Lead to drive AI-led transformation in the lending industry. In this high-impact role, you will be responsible for identifying, prototyping, and scaling cutting-edge generative AI solutions that enhance efficiency, improve customer experiences, and streamline business processes across the organization. This position is ideal for a passionate innovator who understands the rapidly evolving AI landscape and can bridge the gap between advanced technologies and real-world business needs particularly in financial services. Key Responsibilities Strategic Innovation Leadership Lead AI innovation initiatives by identifying high-impact generative AI use cases across the lending value chain. Develop and own the roadmap for generative AI adoption aligned with key business objectives. Act as a catalyst for organization-wide transformation through AI-powered solutions. Technology & Ecosystem Awareness Stay on top of the latest advancements in LLMs, multimodal AI models, and agentic frameworks. Evaluate enterprise platforms such as AWS Bedrock, Azure OpenAI, Google Vertex AI, and open-source alternatives. Build internal awareness of emerging technologies and their potential applications. Competitive & Market Intelligence Benchmark AI adoption in financial services and lending industries. Analyze competitor strategies and identify whitespace opportunities and unmet customer needs. Use Case Development & Experimentation Collaborate with business, data science, and tech teams to prioritize and validate high-impact use cases. Rapidly design and develop proof-of-concepts (POCs) with measurable success metrics. Scale validated solutions into production with focus on usability, scalability, and business ROI. Agile & Lean Execution Foster a fail-fast, learn-fast culture with cost-efficient experimentation. Promote lean innovation and lead internal evangelism for AI-driven transformation. Cross-functional Collaboration Partner with engineering, data science, product, compliance, and legal teams for ethical, scalable deployment. Ensure adherence to governance standards, including explainability, fairness, and regulatory compliance. Qualifications & Experience Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field; MBA is a plus. 2+ years of experience in AI/ML, with at least 1 year hands-on in Generative AI. Proven track record of leading innovation or AI-driven initiatives, preferably in lending or financial services. Deep understanding of the lending lifecycle, including underwriting, collections, risk models, and regulatory frameworks. Hands-on experience with LLMs (e.g., GPT, Claude, Mistral, LLaMA), embedding models, prompt engineering, and vector databases. Familiarity with cloud platforms (AWS, Azure, GCP) and orchestration tools like LangChain, Haystack. Excellent communication, leadership, and stakeholder management skills. Preferred Skills Experience with synthetic data generation, document AI, conversational AI, or autonomous agents. Understanding of ethical AI, privacy laws, and compliance standards in financial services. Exposure to startups or intrapreneurial roles in launching new AI products or platforms. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field; MBA is a plus
Engineer - Information Technology
Tata Communications
Engineer Information Technology (AIOps & Automation Engineer) Location: Mumbai Experience: 1 3 Years Company: Tata Communications Employment Type: Full-Time About Tata Communications Tata Communications is at the forefront of reimagining global connectivity through cutting-edge innovation. Our services power Cloud, IoT, AI, Collaboration, Security, and Network Solutions that redefine the digital experiences of businesses across industries. With a global footprint and a focus on driving intelligent transformation, we are building the New World of Communications. Job Profile: AIOps & Automation Engineer As an AIOps & Automation Engineer, you will play a critical role in transforming IT operations through automation, infrastructure scripting, and deployment of AI/ML-powered solutions. This is an individual contributor position with scope to lead small-scale operational projects and optimize system performance across platforms. Key Responsibilities Design, build, and manage infrastructure automation using Python, PowerShell, Bash, and Ansible. Deploy and maintain AIOps tools and platforms for proactive incident management and operational efficiency. Develop and manage CI/CD pipelines, supporting continuous integration and deployment. Implement and manage monitoring systems, such as Zabbix and other NMS tools. Maintain detailed infrastructure documentation including LLD/HLD. Assist in the design, security, and handover of infrastructure to operations teams. Independently resolve complex IT issues and contribute to operational improvements. Stay current with advancements in AI/ML, automation, and orchestration technologies. Technical Skill Requirements Proficiency in Python, PowerShell, and Bash scripting. Experience with Ansible, AWX, or similar automation tools. Familiarity with Zabbix or other network monitoring systems. Understanding of AI/ML concepts and practical exposure to related tools. Working knowledge of AIOps platforms and deployment practices. Hands-on with Linux, Windows Server, and basic Kubernetes. Experience in designing, documenting, and implementing IT infrastructure. Familiarity with CI/CD tools and pipeline methodologies. Certifications in relevant technologies are an added advantage. Qualifications B.Tech / B.E. or equivalent degree in Computer Science, IT, or a related field. 1 3 years of experience in IT Operations, with exposure to automation and AIOps. Strong analytical and problem-solving skills. Excellent documentation and communication abilities. What You ll Bring Passion for automation and digital transformation in IT infrastructure. Ability to independently manage tasks, take initiative, and troubleshoot complex issues. Flexibility to adapt and contribute in a fast-paced, evolving technical environment. A collaborative mindset with a focus on delivering reliable, scalable solutions. Be part of a future-forward tech ecosystem in one of India s most respected technology organizations. Work on next-generation automation and AIOps platforms shaping global IT operations. Collaborate with industry leaders and expand your skills in a learning-driven environment. Qualification : B.Tech / B.E. or equivalent degree in Computer Science, IT, or a related field
Deputy Vice President - Data Science
Indiafirst Life
Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Experience: 9-10 years Key Responsibilities AI & Machine Learning: Design, develop, and deploy machine learning models for predictive analytics, natural language processing (NLP), computer vision, and recommendation systems. Lead end-to-end AI project lifecycles, including model validation, production deployment, and ongoing optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. Stay abreast of the latest advancements in Generative AI and foundational models, evaluating their applicability and integration within business solutions. Collaborate with cross-functional teams to identify AI use cases and deliver tangible business impact. Data Science & Analytics: Drive the entire analytics lifecycle, from data exploration and modeling to delivering actionable insights and developing data-driven products. Partner with data engineers and analysts to develop scalable, impactful solutions that support business objectives. Leadership & Strategy: Mentor and develop junior data science professionals, fostering a culture of continuous learning and innovation. Contribute to the organization s AI and cloud strategy by helping define the roadmap and setting long-term vision. Cloud Architecture & Engineering: Architect and design scalable, cloud-native AI and data platforms primarily on Google Cloud Platform (GCP), with knowledge of AWS and Azure as alternatives. Optimize data pipelines and machine learning workflows using cloud services such as Vertex AI, SageMaker, or Azure ML. Ensure the design and implementation of secure, cost-effective, and scalable architectures supported by robust CI/CD pipelines.
Deputy Vice President - Data Science
Indiafirst Life
Deputy Vice President Data Science Location: Mumbai Function: Technology Digital and Data Sciences Employment Type: Full Time Role Overview We are seeking a seasoned and innovative Deputy Vice President Data Science to lead cutting-edge AI and data science initiatives. The ideal candidate will drive the development and deployment of machine learning models, architect cloud-native AI platforms, and guide strategic transformation through advanced analytics. This role requires strong leadership, deep technical expertise, and the ability to collaborate across business and technology teams to deliver measurable impact. Key Responsibilities AI & Machine Learning: Design, develop, and implement advanced machine learning models for predictive analytics, NLP, computer vision, and recommendation engines. Lead end-to-end AI project lifecycles, including model validation, productionization, and continuous optimization using frameworks like TensorFlow, PyTorch, and scikit-learn. Stay current with the latest developments in Generative AI, foundation models, and LLMs; evaluate and integrate them into solutions where applicable. Identify and prioritize AI use cases in collaboration with cross-functional teams to create business value. Data Science & Analytics: Lead the complete analytics lifecycle from data exploration and model building to insight generation and product deployment. Work closely with data engineers and analysts to develop scalable, high-impact solutions that influence business outcomes. Leadership & Strategy: Mentor and develop junior team members, promoting a culture of learning, experimentation, and excellence. Contribute to enterprise-wide AI and cloud strategies, including vision setting and roadmap development. Cloud Architecture & Engineering: Architect and implement cloud-native AI and data platforms on GCP (preferred), with working knowledge of AWS or Azure. Build and optimize scalable ML workflows and data pipelines using platforms like Vertex AI, SageMaker, or Azure ML. Ensure secure, scalable, and cost-effective infrastructure, supported by CI/CD pipelines and MLOps best practices. Required Skills & Qualifications Technical Proficiency: Strong coding skills in Python and SQL. Expert-level knowledge of ML frameworks: TensorFlow, PyTorch, Hugging Face, scikit-learn. Practical experience with Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) techniques. Cloud & Engineering: Proficient in designing solutions on Google Cloud Platform (GCP); experience with AWS or Azure is a plus. Familiarity with data tools like BigQuery, Kafka, Snowflake. Strong knowledge of MLOps, including CI/CD pipelines, model monitoring, and A/B testing frameworks. Governance & Ethics: Solid understanding of data privacy, governance, and responsible AI principles.
Microsoft Service Sales Specialist
Atqor
Microsoft Service Sales Specialist Full-Time | Mumbai, Maharashtra (On-Site) Location: Mumbai, Maharashtra Job Type: Full-Time | On-Site Experience Required: 1 to 7 years Notice Period: Immediate joiners preferred Salary: Based on experience and qualifications Job Overview We are looking for a driven and experienced Microsoft Service Sales Specialist to join our team in Mumbai. In this role, you will be responsible for generating new business opportunities, building strong relationships with Microsoft-managed customers (EC and SMC segments), and driving the sales of Bitscape s Microsoft cloud services, including Azure, Microsoft 365, Dynamics 365 (F&O, BC, CRM), Power Platform, and Power BI. This is a strategic, high-impact role that also involves team building, go-to-market (GTM) execution, and close collaboration with both internal stakeholders and Microsoft Account Executives (AEs) and Partner Teams. Key Responsibilities Build and manage a strong sales pipeline across Enterprise Commercial (EC) and Small & Medium Corporate (SMC) customer segments. Drive end-to-end sales of Bitscape s Microsoft service offerings, including Azure, Microsoft 365, Dynamics 365 ERP & CRM (F&O, BC), Power BI, and Power Apps. Establish and maintain trusted relationships with Microsoft teams to co-sell and align on joint go-to-market strategies. Recruit, mentor, and lead a high-performing team of account managers and solution specialists, working closely with the pre-sales and delivery leaders at our Global Engineering Center in Ahmedabad. Take ownership of business P&L, revenue goals, and customer satisfaction. Expand Bitscape s presence in the Managed Service Provider (MSP) market, identifying new growth opportunities and client needs. Collaborate with other Bitscape leaders to ensure alignment with company goals and strategic priorities. Leverage market insights and customer feedback to continuously optimize sales strategies and service offerings. Qualifications and Skills Proven track record in Microsoft services sales, account management, or business development, ideally in a cloud services or IT consulting environment. Strong understanding of Microsoft cloud solutions including Azure, Microsoft 365, Dynamics 365, and Power Platform. Ability to manage large, complex accounts and influence stakeholders at all levels. Demonstrated experience in building and leading high-performing sales teams. Familiarity with Microsoft Co-Sell motions and working with Microsoft Partner and AE teams is highly desirable. Strong communication, negotiation, and relationship-building skills. Strategic thinker with a customer-first mindset and a results-driven approach. MBA is preferred but not mandatory; relevant experience and performance are the key hiring criteria. Lead Microsoft service sales strategy for a trusted Microsoft partner in a high-growth market. Work closely with Microsoft and high-profile enterprise clients across India. Join a collaborative, innovation-led team with a strong delivery backbone. Opportunity to make a high business impact and grow into senior leadership roles. Apply now to be part of a forward-thinking Microsoft partner and accelerate your career in cloud services and Microsoft solution sales. Qualification : MBA is preferred but not mandatory; relevant experience and performance are the key hiring criteria.
Enterprise Key Account Manager
Swan Solutions & Services
Position: Enterprise Key Account Manager Location: Mumbai (Andheri Saki Naka) Industry: IT Relevant Experience: Minimum 7-10 Years (at least 3+ years in relevant experience) Employment Type: Full-time Work Environment: Hybrid (office and field sales) Travel Requirement: Estimated 60-80% of the time About Swan Solutions: Swan Solutions is a rapidly growing IT infrastructure services provider, generating over 500 Crore in revenue. Headquartered in Mumbai, Swan has been successfully serving the IT hardware and networking needs of BFSI, PSU, SMB, and corporate sectors for over 33 years. The company has forged partnerships with global technology leaders like HP, Cisco, Microsoft, Ice Warp, and Fluid AI. Our major clients include SBI, SBI MF, ICICI, and more. At Swan, we embrace innovation, celebrate creativity, and encourage a collaborative environment where every idea has the potential to drive change. We are a team that is accountable, vibrant, independent, and always willing to learn and grow together. Job Overview: We are looking for a dynamic and results-driven Enterprise Key Account Manager to join our team. This role will involve managing strategic sales initiatives, building strong relationships with enterprise clients, and driving the company s growth in the competitive IT solutions and services market. Key Responsibilities: Develop and implement comprehensive sales strategies to achieve monthly, quarterly, and annual revenue targets. Create and maintain sales forecasts, pipeline reports, and performance dashboards. Identify and pursue new business opportunities in the IT solutions and services sector. Build and maintain strong relationships with existing and potential enterprise clients. Collaborate with marketing, product, and delivery teams to align sales efforts with company objectives. Analyze market trends, competitive landscape, and customer needs to inform sales strategies. Manage and optimize the sales process, including lead generation, qualification, and conversion. Represent the company at industry conferences, networking events, and client meetings. Qualifications Required: Bachelor s degree in Business Administration, Marketing, Computer Science, or a related field. 7-10 years of progressive sales experience in IT solutions, services, or technology sectors. Proven track record of consistently meeting or exceeding sales targets. Strong understanding of enterprise IT solutions, cloud services, and digital transformation technologies. Excellent communication and interpersonal skills in English and Hindi. Proficiency in CRM tools (e.g., Salesforce, HubSpot) and sales management software. Preferred Qualifications: Experience in B2B technology sales in the Indian market. Knowledge of emerging technologies like AI, cloud computing, and cybersecurity. Industry certifications in sales management or IT solutions. Key Skills: Strategic sales planning Client relationship management Negotiation and closing techniques Data-driven decision-making Solution-selling approach Cross-functional collaboration Compensation & Benefits: Variable Pay Components: Performance Bonus ranging from 100% to 400% of Fixed CTC, based on team sales performance. Opportunity to work in a dynamic and rapidly growing organization. Be a part of an innovative and vibrant culture that fosters creativity and teamwork. Competitive compensation structure with performance-based bonuses. Work in a hybrid environment with ample opportunities for travel and client interaction. If you re passionate about IT sales and eager to grow with a leading organization, we d love to hear from you! Qualification : Bachelors degree in Business Administration, Marketing, Computer Science, or a related field.
Senior Sales Executive (PSU IT Solutions)
Swan Solutions & Services
Position: Senior Sales Executive (PSU IT Solutions) Location: Mumbai, Delhi Employment Type: Full-Time, Permanent Mode of Work: Initial period WFH/Field work from their location (Except Mumbai Location) About Swan Solutions: Swan Solutions is a rapidly growing IT infrastructure service provider with a turnover of 500 Crore, headquartered in Mumbai. Founded 33 years ago by Mr. Mohammed Sutarwala, Swan has built a reputation in the IT hardware and networking space, offering solutions to BFSI, PSU, SMBs, and corporate houses. Swan partners with leading global companies like HP, Cisco, Microsoft, Ice Warp, and Fluid AI. Our key clients include SBI, SBI MF, and ICICI. Culture at Swan: Swan s culture fosters innovation, accountability, and collaboration. We take on inspiring IT projects, encourage creativity, and celebrate the people who make ideas come to life. Our open-door culture ensures everyone has the opportunity to contribute to the transformation of ideas into actionable solutions. Members of the Swan team are described as accountable, vibrant, independent, and impactful. Key Responsibilities: Business Development Identify and target potential PSU customers across various sectors such as energy, telecommunications, banking, and infrastructure. Develop and execute strategic sales plans to penetrate PSU market segments. Build and maintain strong relationships with key decision-makers in PSU organizations. Sales Strategy Conduct in-depth market research on PSU IT spending and technological requirements. Develop tailored IT solution proposals addressing the specific needs of PSU organizations. Create comprehensive presentation decks and technical documentation. Prepare competitive bid responses and ensure technical compliance with RFPs. Sales Execution Manage the entire sales cycle, from lead generation to contract closure. Negotiate complex, high-value IT solutions and service contracts. Develop and maintain a robust sales pipeline. Meet or exceed quarterly and annual sales targets. Collaborate with pre-sales and technical teams to design customized solutions. Customer Engagement Provide a consultative selling approach to understand PSU customers' digital transformation challenges. Conduct technical presentations and demonstrations. Offer post-sales support and ensure customer satisfaction. Manage long-term customer relationships and identify upselling opportunities. Compliance and Documentation Ensure compliance with government procurement guidelines and tender processes. Maintain accurate sales records and customer interaction documentation. Prepare detailed sales reports and forecasts. Navigate complex PSU procurement procedures. Tender and RFP Management Proactively track PSU tender and RFP opportunities across various sectors. Maintain a comprehensive database of upcoming and active tenders. Develop expertise in tender classification and evaluation criteria. Ensure strict adherence to government procurement guidelines and statutory compliance norms. Tender Response Strategy Analyze RFP/tender requirements and develop precise, compliant, and competitive tender responses. Coordinate with internal teams to craft technical specifications, pricing strategies, and bid documents. Prepare comprehensive bid documents that meet all technical, commercial, and legal requirements. Stakeholder Engagement Build and maintain relationships with PSU procurement departments and tender evaluation committees. Conduct follow-up and clarification meetings, and manage post-tender communication and negotiation processes. Competitive Intelligence Monitor competitor tender responses and analyze winning bid strategies. Stay updated on emerging technologies relevant to PSU procurement. Develop insights into PSU technological transformation priorities. Qualifications: Education: Bachelor s degree in Engineering, Computer Science, or Business Administration. Experience: 4-6 years of experience, with at least 3 years in enterprise IT sales, preferably with exposure to the PSU sector. Proven track record of successful B2G (Business to Government) sales. Strong understanding of IT infrastructure, cloud solutions, cybersecurity, and digital transformation technologies. Excellent communication and negotiation skills in English and Hindi. Required Skills: Deep knowledge of PSU procurement processes. Strong networking and relationship-building capabilities. Strategic thinking and solution-selling approach. Ability to work in a target-driven environment. Proficient in CRM tools and sales management software. Excellent written and verbal communication skills. Attention to detail, especially with tender specifications. Strong analytical and problem-solving capabilities. Ability to work under strict deadlines. Proficiency in preparing persuasive technical documentation. Technical Competencies: Extensive knowledge of government e-procurement portals (GeM, CPPP). Tender evaluation processes and bid management software. Experience in preparing technical and commercial bid proposals. Technology Focus Areas: IT Infrastructure Solutions Cloud Computing Cybersecurity Digital Transformation Technologies Enterprise Software Solutions Network and Communication Systems Key Performance Indicators (KPIs): Number of tenders participated in. Tender win rate. Total contract value of won tenders. Compliance score in tender submissions. Revenue generated through tender routes. Compensation: Performance Bonus: 100-300% of base salary (based on the number and value of tenders won). Qualification : Bachelors degree in Engineering, Computer Science, or Business Administration.
Software Engineer (AI/ML)
Brainvire Infotech
Job Title: Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 2 to 3 years Openings: 3 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to derive actionable insights. Implement and optimize deep learning models, including Natural Language Processing (NLP) and computer vision. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training and deployment. Optimize ML models for performance, scalability, and real-time inference. Collaborate with data engineers to build efficient data pipelines. Stay updated with the latest AI/ML advancements and integrate best practices into development. Work closely with cross-functional teams to understand business requirements and deliver AI solutions. Qualifications: Experience: 2-3 years in AI/ML development. Technical Skills: Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, and Scikit-Learn. Hands-on experience in deep learning, NLP, and computer vision. Expertise in handling large datasets and data pre-processing techniques. Experience in deploying ML models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid knowledge of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for structured and unstructured data (text, audio, video). Knowledge of document processing, Vision AI, Audio AI, and building AI-driven systems using Langchain and Rasa. Experience building AI chatbots and voicebots. Familiarity with DevOps and CI/CD for cloud platforms (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative thinking, with a passion for problem-solving. Qualification : Any Graduate / Post Graduate
Senior Software Engineer Aiml
Brainvire Infotech
Job Title: Senior Software Engineer (AI/ML) Location: Mumbai Job Type: Permanent Education: Any Graduate / Post Graduate Experience: 4 to 6 years Openings: 2 What You Will Do: Design, develop, and deploy machine learning models and AI-driven solutions. Pre-process and analyze large datasets to extract meaningful insights. Implement and optimize deep learning and NLP models for various applications. Develop and fine-tune algorithms for classification, prediction, and recommendation systems. Leverage cloud platforms (AWS, Azure, GCP) for model training, deployment, and scalability. Optimize ML models for high performance, scalability, and real-time inference. Collaborate with data engineers to build efficient and reliable data pipelines. Stay updated with the latest advancements in AI/ML technologies and best practices. Work closely with cross-functional teams to understand business requirements and deliver AI solutions that address key business challenges. What Qualifications You Will Need: Experience: 4-6 years in AI/ML development, with a focus on building real-world AI systems. Technical Skills: Strong programming skills in Python, with hands-on experience in libraries like TensorFlow, PyTorch, and Scikit-Learn. Proficiency in deep learning, NLP, and computer vision. Expertise in working with large datasets and employing data pre-processing techniques. Experience in deploying machine learning models using cloud platforms (AWS SageMaker, Azure ML, GCP AI). Solid understanding of machine learning algorithms, model evaluation, and hyperparameter tuning. Familiarity with database technologies (SQL, NoSQL) and big data frameworks (Spark, Hadoop). Experience in data pre-processing for both structured and unstructured data (e.g., text, audio, video). Knowledge of document processing, Vision AI, and Audio AI technologies. Experience building AI agentic systems using Langchain and Rasa. Hands-on experience with developing AI chatbots and voicebots. Familiarity with DevOps practices and CI/CD pipelines (AWS, Azure, GCP). Experience working in Agile SDLC with an iterative development mindset. Strong logical, analytical, and creative problem-solving abilities. Qualification : Any Graduate / Post Graduate
Azure Kubernetes Service (AKS) Engineer
Capgemini Invent
Job Title: Azure Kubernetes Service (AKS) Engineer Experience: 6 to 9 years Location: Mumbai About Capgemini: Choosing Capgemini means joining a company where you can shape your career, collaborate with a global community, and contribute to innovative solutions. We empower our teams to unlock the value of technology, creating a more sustainable and inclusive world. Role Overview: We are looking for an experienced Azure Kubernetes Service (AKS) Engineer to design, deploy, and optimize Kubernetes-based solutions on Azure Cloud. The ideal candidate will have a strong background in containerization, cloud infrastructure, DevOps practices, and automation. Primary Responsibilities: Azure Kubernetes Service (AKS) & Containerization: Design, deploy, and manage Azure Kubernetes Service (AKS) clusters. Implement best practices for container orchestration and microservices architecture. Work with Docker to containerize applications efficiently. Cloud & Infrastructure as Code (IaC): Manage Azure cloud resources using Azure Resource Manager (ARM), Terraform, and Bicep. Optimize Azure environments for performance, security, and scalability. Automate infrastructure provisioning and deployment using CI/CD pipelines. DevOps & CI/CD: Implement CI/CD pipelines using Jenkins, GitLab CI, or Azure DevOps. Manage application releases and deployments with Helm charts. Improve system reliability, scalability, and performance through automation. Monitoring & Security: Configure and maintain monitoring and logging tools such as Prometheus, Grafana, and Azure Monitor. Implement networking, authentication, and security best practices in AKS and Azure environments. Troubleshoot and debug AKS, Kubernetes, and containerized applications. Secondary Skills: Experience with Helm for managing Kubernetes packages. Knowledge of Agile methodologies and DevOps best practices. Capgemini is a global leader in technology and business transformation, with over 340,000 professionals across 50+ countries. We deliver end-to-end solutions powered by AI, cloud, and data, helping clients accelerate digital and sustainable innovation. With a 55+ year legacy, we are trusted by global enterprises to drive meaningful impact. Join us and be a part of an inclusive, collaborative, and innovative team!
Natural Language Processing (NLP) Engineer - Fundamental Fixed Income Team
Blackrock
Position: Natural Language Processing (NLP) Engineer - Fundamental Fixed Income Team About the Role: BlackRock's active fixed income portfolio strategies span across a wide range of investment styles and segments, with a focus on alpha generation and risk management. The team uses a combination of top-down insights from lead portfolio managers and bottom-up expertise from sector specialists to deliver attractive returns in various market conditions. Join the Fundamental Fixed Income team and make a significant impact by using advanced data science techniques to solve complex problems in finance. Your Responsibilities: Work with advanced natural language processing (NLP) tools like SpaCy, NLTK, or Hugging Face, with an understanding of implementing Vector Databases. Follow best programming practices such as unit tests, code organization, and basics of CI/CD to create well-maintainable and tested codebases. Develop prototypes for individual components of software or data science solutions, leveraging basic data structures and algorithms. Collaborate with peers within PMG and iHub India (MASS Labs, RQA Labs, AI Labs) to continue research on use cases developed within firm-wide initiatives. Education and Qualifications/Skills: 7-12 years of experience in a relevant field. Motivated team player with the ability to work independently and flexibly. Proficiency in Python, including experience with machine learning libraries such as TensorFlow, PyTorch, or Keras. Solid understanding of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory. Knowledge of at least one domain such as generative AI, statistical learning, optimization, NLP, deep learning, or time series analysis. A passion for solving real-world finance problems using data science and machine learning approaches. Strong analytical thinking skills and ability to creatively solve business problems. Experience with data exploration, analysis, and creating visualizations, and implementing algorithmic solutions in ML. Self-driven, results-oriented, and able to collaborate effectively across time zones and geographies. Our Benefits: To help you stay energized, engaged, and inspired, we offer a wide range of benefits including: A strong retirement plan. Tuition reimbursement. Comprehensive healthcare options. Support for working parents and Flexible Time Off (FTO) to recharge. Our Hybrid Work Model: BlackRock s hybrid work model supports collaboration while offering flexibility. Employees are required to work at least 4 days in the office per week, with the option to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. About BlackRock: At BlackRock, we are united by one mission: helping more people experience financial well-being. Our clients use their investments to save for retirement, pay for education, buy homes, and start businesses. These investments strengthen the global economy, supporting businesses large and small, financing infrastructure projects, and fueling innovations. Our mission would not be possible without our greatest investment our people. We re committed to fostering an environment where employees feel welcomed, valued, and supported with benefits, networks, and opportunities for growth.
Ai Sales Specialist, Google Cloud
Google Careers
About the job As an AI Sales Specialist, you will be responsible for growing our AI business by building and expanding relationships with new and existing customers. You will possess the necessary promoting skills to effectively build relationships with both Cloud Field Sales Representatives (FSRs), Customer Engineers (CEs) as well as new and existing customers. You will develop relationships with external customer stakeholders, identifying innovative ways to multiply your impact and the impact of the team as a whole. You will partner with internal Google Cloud Platform (GCP) Sales teams to grow their AI businesses and drive overall value for GCP. Business cycles will include a combination of productivity use cases, as well as working with product teams to help our customers build new products leveraging our AI. Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Build relationships with customers as a subject matter expert and trusted advisor, managing complex business cycles, identifying solution use cases, and influencing long-term strategic direction of accounts. Deliver against quota and achieve or exceed strategic business and growth goals while forecasting and reporting your territory s business. Work with Google accounts and cross-functional teams (e.g., Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the customer, and provide excellent prospect and customer experience. Develop and execute strategic account plans informed by our responsible AI framework across an assigned territory or market. Work with multiple customers and opportunities simultaneously, understanding each customer s technology footprint and strategy, growth plans, business drivers, competitors, and how they can transform their business using our technologies. Minimum qualifications: Bachelor's degree or equivalent practical experience. 12 years of experience in promoting IT business solutions and executing a territory business strategy. Experience partnering with technical staff to build business cases and implementation plans. Experience identifying and driving use cases to solve customer problems. Preferred qualifications: Experience working with and managing partners in complex implementation projects including global system integrators and packaged software vendors. Experience with promoting the AI technology stack. Experience working with product teams and an understanding of how to embed our technology into their product set. Familiarity with Google Cloud and Google Cloud AI offerings. Ability to connect AI/ML with business value and engage executive stakeholders as an advisor and thought leader. Ability to drive business growth across a broad set of industry-specific AI/ML use cases.
Cloud Engineer
Searce
about the role Cloud Engineers with experience in managing, planning, architecting, monitoring, and automating large scale deployments to Public Cloud.you will be part of a team of talented engineers to solve some of the most complex and exciting challenges faced in IT Automation and Hybrid Cloud Deployments. key responsibilities Consistently strive to acquire new skills on Cloud, DevOps, Big Data, AI and ML technologies Design, deploy and maintain Cloud infrastructure for Clients Domestic & International Develop tools and automation to make platform operations more efficient, reliable and reproducible Create Container Orchestration (Kubernetes, Docker), strive for full automated solutions, ensure the up-time and security of all cloud platform systems and infrastructure Stay up to date on relevant technologies, plug into user groups, and ensure our client are using the best techniques and tools Providing business, application, and technology consulting in feasibility discussions with technology team members, customers and business partners Take initiatives to lead, drive and solve during challenging scenarios preferred qualifications 1-3 years experience in Cloud Infrastructure and Operations domains Experience with Linux systems and/OR Windows servers Specialize in one or two cloud deployment platforms: AWS, GCP, Azure Hands on experience with AWS services (EKS, ECS, EC2, VPC, RDS, Lambda, GKE, Compute Engine) Experience with one or more programming languages (Python, JavaScript, Ruby, Java, .Net) Good understanding of Apache Web Server, Nginx, MySQL, MongoDB, Nagios Logging and Monitoring tools (ELK, Stackdriver, CloudWatch) DevOps Technologies Knowledge on Configuration Management tools such as Ansible, Terraform, Puppet, Chef Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos) Deep experience in customer facing roles with a proven track record of effective verbal and written communications Dependable and good team player Desire to learn and work with new technologies Automation in your blood
Cloud Account Executive - Slack
Salesforce
About Salesforce We are Salesforce, the world s #1 Customer Relationship Management (CRM) platform, driving business success through AI, Data, and CRM solutions. Our core values inspire us to help businesses across industries connect with customers in new, impactful ways. As a Trailblazer at Salesforce, you ll chart your own career path, drive your performance, and improve the world of business. If you believe in businesses doing good and doing well, you ve come to the right place. Position Overview As a Cloud Account Executive within the Slack team, your focus will be on driving workplace productivity and communications solutions for enterprises. You ll lead the strategy for Slack sales within your market segment, drive revenue growth, and expand customer adoption. Your expertise will help customers understand the value of Slack and Salesforce solutions, while aligning those capabilities with their business objectives. Your Impact Customer Relationship Building: Establish and maintain key relationships with current and prospective customers. Strategic Sales: Formulate and execute sales strategies to meet the unique challenges and goals of your customers. Revenue Growth: Drive demand generation within the current customer base and identify new opportunities through prospecting. Collaborative Work: Partner with existing account owners and cross-functional teams to execute Slack sales initiatives. Trusted Advisor: Serve as an expert in both business and technology, guiding customers on how Slack can accelerate their business transformation. Business Evangelism: Articulate the ROI, business value, and time-to-value of the Slack solution to executive stakeholders. Key Responsibilities Account Management: Develop and nurture relationships with key stakeholders, ensuring customer satisfaction and long-term success. Strategic Planning: Develop and implement an account strategy aligned with the customer s business goals. Internal Collaboration: Work closely with cross-functional teams to ensure the successful execution of the account strategy. Sales Alignment: Coordinate efforts with Prime and Cloud sales resources to ensure strategic sales alignment. Sales Growth: Drive growth within your assigned accounts through both existing relationships and new opportunities. Salesforce Evangelism: Share the Salesforce value proposition to both new and existing customers. What You Bring Proven Sales Experience: Successful track record of driving sales growth and cultivating long-term customer relationships. Cloud & SaaS Expertise: Strong understanding of cloud solutions and workplace productivity tools, particularly Slack. Strategic Mindset: Ability to align customer business goals with solutions, focusing on long-term success. Collaborative Approach: Ability to work effectively with cross-functional teams and internal stakeholders. Consultative Selling: Expertise in leading high-level conversations with customers about business value and technology adoption.
Partner Sales - Senior Manager
Salesforce
Description We are looking for a Partner Sales Manager (PSM) to drive business growth through strategic partnerships in the Financial Services sector. This role involves working with and managing relationships with key partners, ensuring they are aligned with our sales objectives, and enabling them to successfully sell our software solutions. The ideal candidate will have a strong understanding of the financial services industry, a proven track record in partner/channel sales, and the ability to collaborate cross-functionally to drive revenue. Key Responsibilities: Partner Management & Development: Identify, recruit, and onboard new partners focused on the financial services industry. Develop strong relationships with existing partners, ensuring alignment with company sales goals. Enable and train partners on the company s software solutions, sales strategies, and go-to-market approach. Conduct regular business reviews to track performance, identify opportunities, and address challenges. Sales & Revenue Growth: Drive revenue through partners by creating joint go-to-market strategies. Work with partners to develop sales plans, demand-generation initiatives, and marketing campaigns. Monitor and analyze sales performance, pipeline development, and deal closures. Ensure partners meet sales quotas and business objectives. Industry & Market Expertise: Stay updated on financial industry trends, regulations, and technology advancements. Understand partner business models and tailor engagement strategies to maximize impact. Cross-functional Collaboration: Work closely with internal teams, including direct sales, marketing, customer success, and product teams, to align partner initiatives with company goals. Ensure seamless integration between direct and partner-led sales motions. Key Qualifications & Skills: Experience: 7+ years in partner/channel sales, preferably within the financial services sector. Industry Knowledge: Strong understanding of financial services (banking, insurance, fintech) and relevant regulatory requirements. Sales Expertise: Proven track record of driving revenue through partners and achieving/exceeding sales targets. Relationship Management: Excellent communication, negotiation, and stakeholder management skills. Strategic Thinking: Ability to develop and execute effective partner sales strategies. Collaboration: Ability to work cross-functionally with sales, marketing, and product teams. Tech-Savvy: Familiarity with enterprise software, SaaS solutions, and cloud technologies. Preferred Qualifications: 15+ yrs Experience working with financial services system integrators, VARs, or consulting partners. Understanding of CRM, ERP, AI, Data Analytics in solutions in financial services.
AWS Partner Development Manager
Amazon Jobs
Position: AWS Partner Development Manager Overview: AWS Partner Development Managers (PDMs) play a pivotal role in developing and promoting the AWS Partner Network (APN) across specific technology areas and industries. This position is focused on accelerating the growth of AWS's partner ecosystem, working closely with AWS partners who provide cloud-based solutions and consulting services to clients. These partners assist customers in migrating to the cloud, modernizing applications, leveraging data and analytics, and adopting AI/ML technologies to enhance their digital transformation. As an AWS Partner Development Manager, you will collaborate across AWS teams to build strong partnerships and guide AWS partners in delivering solutions to customers. Your role will involve direct interaction with partners and customers, helping them to navigate AWS's AI services, platforms, and frameworks to achieve business objectives. Key Responsibilities: AI Solution Implementation: Work directly with partners to understand their business needs and assist in implementing AI solutions using AWS AI services, platforms, and frameworks. Guide customers through the adoption process and help bring AI projects from inception to production. Full-Stack ML/AI Projects: Support customers in delivering end-to-end machine learning (ML) and deep learning (DL) projects, including data aggregation, model building, validation, and deployment, ensuring business impact. AWS Tools and Services: Utilize Amazon SageMaker and Amazon Bedrock to assist customers in building and deploying AI and ML models. Help customers identify and address model drift and retrain models when necessary. Research & Innovation: Conduct research and implement novel ML and DL approaches to drive innovation for AWS customers. Knowledge Sharing: Deliver best practices, tutorials, blog posts, sample code, and presentations tailored for technical, business, and executive stakeholders to share knowledge and promote AWS capabilities. Desired Experience and Expertise: We are looking for experienced consultants and builders who are passionate about: Industry & Architecture: Analyzing industry trends and developing enterprise-level architecture designs to align with customer business goals and vision. Business & Technical Strategy: Understanding and abstracting business processes and designing corresponding technical architectures. Advising customers on long-term IT strategies to facilitate their digital transformation journey. Solution Design & Best Practices: Designing comprehensive solutions based on customer requirements and promoting AWS best practices. Proficiently writing technical documentation to support solution implementation. About the Team: AWS values diverse experiences and encourages candidates from varied backgrounds to apply, even if all qualifications are not met. We believe that unique career paths and perspectives enhance the success of our teams and contribute to innovation. Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, offering a robust suite of products and services that empower customers, from startups to global enterprises. Inclusive Team Culture: AWS fosters curiosity and connection, with employee-led affinity groups that promote inclusion and encourage individuals to take pride in their uniqueness. Our inclusion events strengthen collaboration and inspire innovation. Mentorship & Career Growth: We are committed to raising the performance bar and supporting career advancement through continuous mentorship and knowledge-sharing. Work/Life Balance: We prioritize work-life harmony and flexibility, believing that success at work should never come at the expense of personal well-being. Basic Qualifications: 5+ years of experience in developing, negotiating, and executing business agreements. 5+ years of professional or military experience. A Bachelor s degree or equivalent. Proven experience in developing strategies that influence leadership decisions at an organizational level. Experience managing programs across cross-functional teams, building processes, and coordinating release schedules. Preferred Qualifications: Experience in interpreting data to drive business recommendations. Expertise in identifying, negotiating, and executing complex legal agreements. Qualification : Bachelor's degree
Security Analyst-soc L1
Ibm India
Introduction A career in IBM Consulting is built on long-term client relationships and close collaboration to transform the hybrid cloud and AI landscape for some of the world's most innovative companies. Leveraging IBM's robust technology platforms, including Red Hat, and a strategic partner ecosystem, you'll accelerate impact and deliver meaningful change for clients. This role emphasizes curiosity, creativity, and a culture of evolution, fostering career growth and unique opportunities to make a groundbreaking impact. Your Role and Responsibilities As a SOC Analyst, you will monitor Information Security events using SIEM tools and contribute to safeguarding IT infrastructure by responding to potential threats. Your role involves: Researching security threats and providing insights into new and existing risks. Recommending and improving SOC security processes, procedures, policies, incident management, and vulnerability management. Evaluating, recommending, and resolving issues related to security solutions and assessing the security of new IT systems. Staying updated with emerging security threats and regulatory requirements. Working in a 24x7 Security Operation Centre (SOC) environment to ensure constant vigilance and response to threats. Required Education Bachelor s Degree Preferred Education Bachelor s Degree Required Technical and Professional Expertise 1+ year of experience in SIEM platforms such as QRadar, ArcSight, or Splunk. B.E./B.Tech/MCA/M.Sc. in Computer Science or IT with CEH Certification. Proven ability to monitor security events across SOC channels (SIEM, tickets, email, phone) and escalate based on severity. Expertise in threat modeling, use case development, and policy reviews for security monitoring tools. Preferred Technical and Professional Experience Self-motivated and ambitious with the ability to work independently toward goals. Creative and adaptable with excellent time management skills. Strong interpersonal skills, contributing effectively to team efforts. Join IBM Consulting, where your technical expertise and creative thinking will contribute to a safer digital landscape and help shape the future of cybersecurity. Qualification : B.E./ B.Tech/ MCA/ M.Sc. in Computer Science or IT + CEH Certified
Data Scientist 1
Mondelez
Company Overview Mondel z International is a leading global snacking company with iconic brands like Oreo, Cadbury, and Toblerone. The company s mission is to lead the future of snacking, creating delicious moments of joy for people around the world. As part of Mondel z's dynamic Digital Solutions team, this role will offer an exciting opportunity to drive innovation through AI, data, and analytics. Role Overview As a Data Scientist within the Mondelez Digital Solutions team, you will play a critical role in developing cutting-edge AI and GenAI solutions that will empower the US Sales & Planning teams. This role focuses on leveraging Analytical AI algorithms and Large Language Models (LLMs) to create actionable insights and transform commercial reporting processes. You'll work closely with multiple teams to implement these solutions and continuously improve the reporting and decision-making capabilities of the organization. How You Will Contribute 1. AI and GenAI Model Development Design, develop, and deploy Analytical AI models (e.g., linear regression, decision trees, boosted trees models) to gather insights related to customers, brands, categories, and products. Implement anomaly detection algorithms (e.g., isolation forest) to identify anomalies in commercial data and alert teams about significant changes. Utilize Large Language Models (LLMs) to summarize the current business state and explain trends in the data, supporting the commercial reporting team. 2. Data Preparation and Utilization Oversee the extraction, preparation, and utilization of large datasets for model training and validation, ensuring the data is clean, accurate, and relevant for AI model development. Continuously update and refine the AI/GenAI solution with new data sources and features to enhance business insights. 3. Collaboration and Implementation Work closely with cross-functional teams to ensure smooth deployment of AI and GenAI capabilities into the company s commercial reporting dashboards. Collaborate with stakeholders to ensure the tools meet business requirements and deliver high-quality insights. 4. Reporting and Documentation Regularly report on the achievements and challenges of the AI tools to senior management and relevant stakeholders. Maintain detailed documentation of AI models, GenAI solutions, logic, and performance metrics, ensuring the business can leverage insights effectively. 5. Continuous Improvement and Innovation Stay up to date with the latest trends in AI and GenAI and integrate new advancements into the reporting system to improve its efficiency and effectiveness. What You Will Bring 1. Required Skills & Experience Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or related fields. Strong analytical and critical thinking skills with the ability to translate complex data into actionable business strategies. Proficiency in handling large datasets using Python and SQL. Strong knowledge of data visualization tools such as Tableau and Power BI. Experience with cloud platforms (e.g., Google Cloud, Azure, Databricks) for deploying AI solutions. Experience with data preprocessing, cleaning, and ETL processes. Familiarity with Natural Language Processing (NLP) techniques. Knowledge of recent advancements and trends in GenAI and a passion for continuous learning in this field. 2. Additional Skills (Good to Have) Working knowledge of syndicated data (e.g., Nielsen/IRI or other retail sales data sources). Proficiency in using data containerization and orchestration tools for maintaining complex data workflows. Experience with programming languages like PySpark and R. Experience in leveraging Large Language Models (LLMs) to build GenAI solutions or proofs-of-concept. Experience with frameworks like Langchain for building language applications. Relocation and Support Within-country relocation support is available. For candidates voluntarily moving internationally, minimal support is offered through the Volunteer International Transfer Policy. Qualification : Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or a related field.
People & Engagement Analyst
Ntt Data
About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. We help clients innovate, optimize, and transform for long-term success. With a strong focus on research and development, we invest over $3.6 billion annually in R&D to drive the digital future. As a Global Top Employer, we have experts across 50+ countries and are committed to embracing diversity and inclusion. Your Day at NTT DATA As the Employee Experience and Internal Communications Specialist, you will be responsible for executing internal communications, leadership and employee engagement activities, culture-change initiatives, and transformation communications. You ll work closely with business strategies and priorities, helping foster engagement and alignment across global teams. Key Responsibilities Design and implement communication strategies to achieve global objectives and tailored business outcomes. Maintain leadership and employee engagement plans and annual internal communication schedules. Draft, edit, and produce relevant messages and content aligned with the global narrative and brand. Utilize a mix of communication channels (digital, social, live interactions) to engage internal audiences, while exploring new tools and innovations. Support global employee feedback mechanisms and use insights to drive improvement. Champion global engagement and communication initiatives within your business area. Embed communication best practices and improve communication capabilities within teams and leaders. Adhere to global corporate standards and governance for communications. Knowledge and Attributes Strong collaboration and interpersonal skills with the ability to engage at all management levels. Ability to project confidence and subject matter expertise to peers, teams, and leadership. Skilled at analyzing business and audience needs to deliver messages via appropriate channels. Experience managing multiple projects in a fast-paced environment. Strong problem-solving and decision-making skills. Excellent presentation, writing, and communication skills, capable of conveying clear business strategy to employees. High energy, outstanding judgment, and a balance of confidence, maturity, and refinement. Academic Qualifications and Certifications Bachelor's degree in Employee Engagement, Human Resources, or a related field. Certifications in Coaching, Change Management, Behavioral Sciences, or People Practices are advantageous. Required Experience Proven experience in an internal communications role or related field. Extensive experience managing time-critical projects and advising senior leaders. Experience in managing teams and ensuring successful team outcomes. Solid experience in internal communications, with a track record of measurable results. Demonstrated success in working with internal and external teams, contractors, and agencies. Experience in a global/cross-cultural environment and matrix structure. Workplace Type Hybrid Working About NTT DATA NTT DATA is part of the NTT Group and headquartered in Tokyo, a global leader in digital and AI infrastructure. With services in consulting, data and AI, industry solutions, and more, NTT DATA is shaping the future with advanced technology services for organizations and society. Equal Opportunity Employer NTT DATA is an Equal Opportunity Employer, embracing diversity and committed to a harassment-free environment. Qualification : Bachelor's degree or equivalent in Employee Engagement / Human Resources or a related field.
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