Manager ML Engineering Jobs in Hyderabad

Position: Senior Account Manager - Campus Operations Location: Onsite at Campus, Hyderabad Experience: 5-8 years | Full-Time Company Overview: Our vision is to be the leading EdTech company transforming engineering colleges across India. We strive to ensure every engineering student receives a holistic, industry-relevant education that boosts skills and employability. We empower students by bridging the gap between academia and industry, shaping the next generation of skilled professionals who will drive the nation s progress. About the Role: If you believe that colleges are more than classrooms that they can be launchpads for careers this is your mission. As a Senior Account Manager - Campus Operations, you will be the face of byteXL on campus, deeply embedded within the college ecosystem. You ll build meaningful relationships, drive cultural change, mentor students and educators, and ensure smooth operations, all while solving real-time challenges hands-on. What You'll Own: Campus Ownership: Represent byteXL on campus available, approachable, and proactive. Live on-premises and integrate fully into the college ecosystem. Embody byteXL s values consistently in your daily interactions. Learning Outcomes and Educator Enablement: Observe classrooms, track platform usage, and provide actionable feedback to educators. Mentor educators to maintain high standards of punctuality, engagement, and delivery. Foster a culture of continuous improvement in teaching quality and student outcomes. Plan classes and optimize educator schedules for smooth operations. Student Success and Mentorship: Act as a mentor to students listen, support, and guide their growth. Analyze student performance data to identify gaps and coordinate improvements. Identify and nurture curious students, encouraging deeper learning journeys. Organize student events, coding challenges, and workshops in collaboration with industry partners. Stakeholder Management: Manage relationships with college leadership including Deans, TPOs, and HODs. Share governance reports, conduct performance reviews, and manage expectations diplomatically. Lead contract renewals with confidence and clarity. Represent byteXL in all interactions, from casual conversations to high-stakes discussions. Strategic and Cultural Leadership: Scout and recommend talented trainers and future account managers. Drive cultural transformation across the educator community. Continuously improve processes and resolve operational challenges. Maintain emotional resilience and curiosity to thrive in a fast-paced environment. What Makes You a Great Fit: 5-8 years experience in account management, operations, or education strategy. Strong interpersonal skills able to inspire educators, earn student trust, and influence senior leaders. Comfortable working with data able to analyze numbers and extract meaningful stories. Proven track record of managing projects end-to-end with 24/7 accountability. A doer, thinker, and storyteller able to shift seamlessly between roles as needed. Bonus Points If You: Have experience in EdTech or managing large-scale educational programs. Have coached or mentored students before. Can tell compelling stories to students, educators, and college boards. Have solved coding problems on platforms like ours just for fun. Enjoy pushing the boundaries of what s possible on campus.

Job Title: Data Engineering Manager Location: Hyderabad About Kanerika Kanerika Inc. is a leading global software products and services company dedicated to empowering data-driven enterprises. We help businesses accelerate digital transformation and maximize impact by delivering innovative, custom data solutions that optimize operations, enhance customer experiences, and fuel growth. Our Accolades Best Place to Work 2022 Great Place to Work Top 10 Most Recommended RPA Startups 2022 RPA Today Technology Innovation Award 2021 Frost & Sullivan India for Kompass composable solution Recognized for strong data privacy and security standards: ISO 27701, SOC2, GDPR compliant With a 4.5/5 Glassdoor rating, Kanerika fosters an inclusive, growth-oriented culture where employees thrive. We offer: Flexible working hours and generous parental leave Mandatory training on a safe and inclusive work environment Mentorship, professional development, and certification support Company-sponsored outings and work-life balance initiatives Join a vibrant, diverse community where your contributions truly matter. The Role We are looking for an experienced Data Engineering Manager to lead and inspire our data engineering team in Hyderabad. Partnering closely with Data Architects, you ll drive the design and development of scalable, cloud-based data pipelines and models, ensuring data quality, security, and performance. What You ll Do Lead and mentor a high-performing data engineering team, driving productivity and accountability. Collaborate with architects and development leads to build scalable, enterprise-grade data solutions. Oversee agile workflows, manage escalations, and coordinate hiring and resource planning. Use data-driven insights to guide team priorities and continuous improvement. Support pre-sales activities and work cross-functionally with sales and recruitment teams. Foster a culture of innovation, quality-first mindset, and customer focus. Who You Are A proactive leader with experience managing mid to large-sized teams and complex projects. An effective communicator, both verbally and in writing, with a knack for visually presenting ideas and core values. Results-oriented with a proven track record of delivering successful projects and publishing customer case studies. A process-driven, independent thinker who thrives under pressure and embraces continuous learning. Passionate about inclusivity and committed to contributing authentically to a diverse team environment.

Senior Data Scientist Data | Hyderabad, India | Full-Time About Salesforce We re Salesforce, the Customer Company, empowering businesses worldwide with AI, Data, and CRM. We believe business is a platform for change helping companies innovate, grow, and connect with customers in new ways. Join us to be a Trailblazer driving your career and impacting the future of business. Role Overview We re seeking an experienced Senior Data Scientist to lead development of advanced marketing attribution, causal inference, and uplift models that enhance marketing effectiveness and efficiency. You will design experiments, establish consistent measurement frameworks, and deliver impactful data-driven insights supporting marketing, customer engagement, and digital initiatives. You will own the full model lifecycle from ideation and prototyping to deployment and ongoing production monitoring ensuring rigor, scalability, and ethical application aligned with Salesforce s core value of Trust. Key Responsibilities Develop sophisticated statistical and machine learning models to optimize marketing investments (e.g., attribution, uplift, causal inference). Create algorithms for marketing spend optimization and ROI improvement across multiple channels. Lead full lifecycle model development: data exploration, design, testing, deployment, monitoring, and tuning. Design statistically sound experiments (A/B, multi-cell) to measure marketing and campaign impact. Collaborate cross-functionally with marketing, engineering, and analytics teams to operationalize measurement and experimentation frameworks. Stay updated on innovations in SaaS, AdTech, paid media, and analytics to continuously evolve modeling approaches. Advocate responsible and ethical use of data and models in line with company policies. Required Skills & Experience Master s or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields. 8+ years of hands-on experience designing marketing optimization models (multi-channel attribution, uplift, customer lifetime value, propensity). Extensive experience in experiment design and causal inference for business impact evaluation. Strong programming skills in Python, R, PySpark, Java. Expert-level SQL skills for large-scale data exploration and manipulation. Experience with cloud platforms like GCP or AWS for scalable model development and deployment preferred. Exceptional quantitative reasoning and ability to translate analysis into actionable business insights. Excellent communication skills, capable of collaborating across diverse teams. Creative problem-solving mindset with ability to simplify complex challenges. Experience with B2B customer data and Salesforce products is a plus. Work on high-impact projects using state-of-the-art AI and analytics technologies. Collaborate with top-tier data science and marketing experts. Thrive in an innovative, inclusive culture that values Trust and continuous learning. Drive real-world business transformation at a global scale. If you are passionate about marketing science and advanced analytics, and want to lead innovation in a fast-paced environment, we encourage you to apply! Qualification : Masters or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.

Senior MLOps Engineer Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years (with 3 years specifically in ML Engineering) Company: Blend About Blend: Blend is a premier AI services provider committed to driving meaningful impact through data science, AI, and technology. We empower businesses by seamlessly aligning human expertise with artificial intelligence to unlock innovation and value. Job Summary: We are looking for a Senior MLOps Engineer with deep expertise in building, deploying, and managing ML pipelines on AWS. The ideal candidate will have hands-on experience with Amazon SageMaker and a strong foundation in Infrastructure as Code to support scalable and reliable ML operations. Key Responsibilities: Maintain and enhance ML pipelines on AWS, focusing on Infrastructure as Code (IaC) using CloudFormation. Implement essential pipeline extensions to support ongoing data science workflows. Document infrastructure usage, system architecture, and designs using tools such as Confluence, GitHub Wikis, and system diagrams. Serve as the internal expert on ML infrastructure, collaborating closely with data scientists to guide and support model deployment. Research and apply optimization strategies for ML workflows and infrastructure performance. Work independently and collaboratively with cross-functional teams to support ML product deployment and platform migration initiatives. Qualifications: 5+ years of hands-on DevOps experience with AWS Cloud. Proven track record of deploying at least two MLOps projects using Amazon SageMaker or similar AWS ML services. Strong proficiency in AWS services including SageMaker, ECR, S3, Lambda, and Step Functions. Expertise in Infrastructure as Code with CloudFormation across development, testing, and production environments. Solid understanding of MLOps best practices and fundamental data science principles. Proficient in Python for scripting and automation tasks. Experience with building and managing Docker images. Hands-on experience with Git-based version control systems such as AWS CodeCommit or GitHub, including GitHub Actions for CI/CD pipelines. Work with cutting-edge AI and ML technologies in a highly innovative environment. Collaborate with top-tier experts in data science and cloud engineering. Opportunities for professional growth, mentorship, and certification support. Competitive compensation package and dynamic work culture. Interested? Apply now to be part of Blend s mission to revolutionize AI-driven innovation!

Sr Engineer/Sr. Lead - Generative AI Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team. In this role, you will develop and deploy advanced generative AI systems, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent agent frameworks. Minimum Qualifications Bachelor's degree and 3+ years of software engineering experience, or Master's degree and 2+ years, or Ph.D. with 1+ year of related experience 2+ years of academic or work experience in programming languages such as C, C++, Java, or Python Key Responsibilities Design and implement RAG-based solutions integrating LLMs with external knowledge sources Fine-tune LLMs for specific domains and use cases Develop evaluation frameworks to benchmark and improve generative model performance Build and manage agentic workflows for autonomous AI systems Collaborate with product, engineering, and research teams on AI integration Required Qualifications Bachelor's or Master's in Computer Science or related field 3+ years of experience in Machine Learning/AI engineering Expertise in Python and ML libraries/frameworks like PyTorch and TensorFlow Hands-on experience deploying and fine-tuning LLMs Experience with vector databases and embedding models Familiarity with AI/ML infrastructure on cloud platforms (AWS, GCP, Azure) Strong understanding of RAG architecture Preferred Qualifications Experience with Langchain, LlamaIndex, or Hugging Face Transformers Knowledge of prompt engineering and chain-of-thought reasoning Experience with microservices and containerization (e.g., Docker, Kubernetes) Background in NLP, deep learning, and reinforcement learning Contributions to open-source AI projects Familiarity with MLOps and model deployment pipelines Skills & Competencies Strong problem-solving and analytical mindset Excellent communication and collaboration skills Ability to manage multiple projects in agile environments Focus on clean, maintainable, and efficient code Awareness of ethical AI practices and responsible development Qualification : Bachelor's or Master's in Computer Science or related field

Job Opening: Senior Manager, Testing Tools Lead Location: Hyderabad, India | Full-Time About the Role Join a global healthcare biopharma company in Hyderabad and be part of a 130-year legacy of success. Backed by ethical integrity and forward momentum, we are dedicated to achieving new milestones in global healthcare. Our organization thrives on digital technology and data-backed approaches, supporting a diversified portfolio of prescription medicines, vaccines, and animal health products. Help us tackle the world's greatest health threats through innovation, execution excellence, and data-driven insights! Our technology centers are crucial to supporting our business and strategy. Globally distributed, these centers focus on delivering business solutions and enabling our digital transformation journey. Each IT division is represented at these centers, and we prioritize growth, well-being, and collaboration across teams to achieve success. Role Overview The Senior Manager, Testing Tools Lead is responsible for overseeing the implementation, maintenance, and management of software testing tools within the Enterprise IT organization. This role requires technical expertise, project management skills, and strong communication abilities. You will act as the primary liaison with the central quality engineering team and drive improvements in software testing processes and tools. What You ll Do Identify and evaluate testing tools based on project needs and organizational requirements. Lead the implementation of new testing tools and integrate them with existing systems and processes. Collaborate with and mentor testers and QA engineers, providing guidance and expertise. Organize training sessions for team members to ensure proficiency with testing tools. Review current testing processes and tools, identifying areas for improvement. Ensure continuous improvement by reviewing and updating testing SOPs and best practices. Develop and implement best practices for testing methodologies and high-quality deliverables. Oversee training on tools and standards for testing. Work closely with development teams to understand testing requirements and align strategies. Ensure effective communication between testing teams and other departments for cohesive project delivery. Maintain testing tools to ensure they are up-to-date and functioning properly. Provide technical support and troubleshooting for testing tools. Establish metrics to measure the effectiveness of testing and tool performance. Prepare and present reports on testing progress, tool usage, and quality assurance outcomes. Collaborate with the COE Lead to standardize testing methodologies for SAP products and enterprise technologies. What You Need Bachelor s or Master s degree in Pharmaceutical Sciences, Biology, Chemistry, Computer Science, Engineering, or related field. 5+ years of experience in software testing with a focus on tools and automation. Proficiency in testing tools (e.g., Selenium, JIRA, QTP, LoadRunner) and scripting languages (e.g., Python, Java, JavaScript). Experience with automated testing frameworks and CI/CD pipelines. Strong project management skills with the ability to prioritize tasks and manage timelines effectively. Familiarity with agile methodologies and SDLC processes in the pharmaceutical industry. Ability to analyze complex problems and develop effective solutions. Excellent attention to detail and a proactive approach to identifying and resolving issues. Strong verbal and written communication skills to relay technical information to non-technical stakeholders. Strong interpersonal skills to lead and collaborate with diverse teams. Desired SAP Knowledge: understanding of SAP functionalities, modules, and integrations like Concur, Ariba, Fieldglass, and MDG. Experience with service virtualization techniques and always-on testing strategies. Certifications in QA, project management, or testing (e.g., ISTQB, CSM, PMP) are a plus. Join a global company that makes a difference in patients' lives and drives health innovations. Work on transformative healthcare solutions for some of the world s most challenging diseases. Be part of a constantly evolving team that thrives on collaboration and innovation. Work with a diverse group of professionals and contribute to global progress in healthcare. We are known as Merck & Co., Inc., Rahway, New Jersey, USA, in the United States and Canada, and MSD everywhere else. For over a century, we ve been inventing for life, advancing medicines and vaccines for the world s most challenging diseases. Today, we continue to lead research to deliver innovative health solutions for the prevention and treatment of diseases threatening people and animals around the world. What We Look For If you are intellectually curious and passionate about making a global impact, join us. Here, you can leverage your creativity, technical expertise, and scientific knowledge to help save and improve lives. Our team is always evolving, and we invite you to be part of this journey to bring hope to those battling the world's most challenging diseases. Qualification : Bachelors or Masters degree in Pharmaceutical Sciences, Biology, Chemistry, Computer Science, Engineering, or related field.

Job Description We are looking for an energetic Technical Product Manager who is passionate about work and has the innate desire to make the product a success. The candidate will be responsible for working with the product team to drive the strategic vision and product roadmap, defining and designing the product features, and contributing to the development of customer collateral to drive the go-to-market activities. Job Profile: Work with the engineering team to drive feature development as per the sprint planning. Ensure that features built are developed correctly and can be used by end users intuitively. Review existing product features using qualitative and quantitative measures, and proactively identify improvement/optimization opportunities to improve user experience. Conduct market research and competitive analysis to guide product development and support go-to-market activities. Research relevant industry trends and features and develop recommendation pitches/proof-of-concepts for product roadmap. Develop user guides, tutorials, internal & external documents to support product release. Develop user stories for features and enhancements. Work with user experience team to create detailed feature specification(s). Iterate through prototypes and validate product with internal and external customers. Core Experience: Computer Science or related engineering degree or equivalent experience. 7 plus years of relevant experience with 3-4 years of technical foundation. Direct relevant working in conferring & collaboration, or communication space. Technical understanding of VoIP, Web RTC added advantage. Experience in working with teams with skills of Angular JS, Mean stack, Web technologies and apps (Android/iOS) or Similar frameworks. Ability to manage an engineering team. Experience working in Agile teams and deep understanding of responsibilities of a product owner in Scrum methodology. Prior working experience as a Software Engineer (or similar) using .NET, web services, desirable knowledge of AngularJS/NodeJS, RDBMS, NOSQL DB. The Nice-to-haves: Ability to communicate clearly and effectively with different functional groups, Architects, developers, business owners, and senior business leaders. Strong analytical capabilities. Should be able to understand and contextually analyze a requirement to arrive at the optimal solution. Familiarity with agile software development practices used to build and deploy web and mobile applications. Excellent oral and written English communication, documentation and prototyping skills. Product management experience with Enterprise Products. Experience in technical architecture of web/mobile applications. Experience designing user interfaces, product design and management. Experience creating examples through wire-frames and mock-ups. MBA from a recognized institute is an added advantage.

Engineering Manager - Platform Location: Hyderabad, India. We re revolutionizing the integration industry and we want you to join us! Our core mission at Celigo is simple: To make automation of business processes as simple as possible by enabling anyone in the enterprise to build or deploy integrations across thousands of cloud applications. You get the best of both worlds: a high energy driven start-up culture with a company that has established itself in the dynamic high growth iPaaS market with thousands of value driven customers. Your Role Celigo is looking for an experienced Engineering manager to lead one of our Platform teams. Our platforms are built to be highly available and scalable supporting large-scale transactions. Our criteria of a successful engineering leader is one who understands the business landscape, is excited to work with people, highly collaborative, energetic, passionate about our product & our customers, and at the same time technically strong & loves technology. You will manage and lead a team of high-caliber developers working on one of our important platform areas. We expect our Engineering Managers to be customer focused, have an excellent grasp on business priorities, and be able to translate the team s contributions to tangible business value for our company. They are passionate about hiring & grooming high quality talent, keeping them focused & motivated and representing the team to leadership. They should possess stellar delivery execution skills, build good relationships with Product Management, have a good understanding of ROI, manage the technical team s roadmap and keep technical debt under control. Masters/Bachelors degree required in Computer Science/Engineering, Software Engineering or Equivalent discipline (EEE, ECE). 12+ years of total experience in Software Product Development with at least 6 years of team management experience in leading. Experience building and leading team(s) of high-caliber software engineers. Must have successfully delivered complex, demanding projects for large scale SaaS product(s). Experience working in an Agile development environment. Experience playing the scrum master for at least one year is preferred. Excellent communication skills both verbal and written. Strong organizational and time management skills. Experience with full product life cycle including post production release support. Experience working with multiple functions including but not limited to Product Management, Program Management, Quality Assurance, UI/UX design teams, Documentation, Customer Success teams (including Support). Should be experienced in Software Engineering best practices including coding standards, code-reviews, Source Control, CI/CD, Testing, Security Standards, Compliance. Ability to handle ambiguity and comfortable working with minimal specifications. Drive the execution and delivery of features by collaborating with program managers, product owners, engineers (Dev & QA), architects and other cross-functional teams. Collaborate with Product Managers to align on business objectives, priorities, trade-offs and assess risks, if any. Take critical decisions for the team whenever required to result in a successful product delivery. Should foresee issues and prevent/resolve them at the earliest opportunity. Work following Agile development methodologies using various related tools, like JIRA. Ensure the team is motivated, focused, clear on priorities and have all the needed resources for successful execution. Should encourage and be a role-model for the team to go above and beyond. Represent the team in business related discussions and articulate business values of the team s contributions in larger business-focused forums and/or to senior management. Drive technical excellence and high quality deliverables. Should constantly think for the future by building the right infrastructure at the right time. Provide guidance, career development and coaching to team members. Participate in planning, architecture, and design discussions. Collaborate with cross-functional teams for coordination, planning, design decisions, and reviews. Is passionate about making a world-class software organization. Has experience building large-scale distributed platforms either as part of a team or must have managed a team building them. Enjoys a fast-paced environment, working with a highly-talented team and shifting priorities. Has excellent problem solving and analytical skills. Is great at making data-driven decisions; should use appropriate metrics and report using them in Executive/senior leadership meetings. Is comfortable in designing and implementing new processes (or) modify existing processes internally to improve the efficiency of the team. Has the ability to build strong relationships with stakeholders and key partners for the program. Has strong business and technical vision. Can stay abstract or detail oriented as the situation demands. Has demonstrated the ability of thinking big, bringing new ideas, building teams & infrastructure for the future. Learns quickly; must know when to listen, and when to take charge. Qualification : Masters/Bachelors degree required in Computer Science/Engineering, Software Engineering or Equivalent discipline (EEE, ECE).

Principal Engineer - Infrastructure Development Company Overview Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes. Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development. Arcesium seeks a talented and motivated Principal Engineer to join our Infrastructure Development team. This person will work and coordinate internal projects and support Engineering Managers. The successful candidate will be responsible for a variety of critical initiatives that will help Arcesium achieve its strategic goals and growth. The Infrastructure Development team is responsible for multiple functional areas which include Access & Identity Management, Linux Compute, Discovery, Networking, Observability, SDLC, and Storage, built on top of AWS, which provide the foundation upon which our customer-facing financial technology platform builds and runs. Infrastructure is a high-impact engineering team that builds new services, automates systems, integrates cloud & open-source software, and operates critical systems depending on the needs of the firm. What you'll do: Help build the next generation of IT infrastructure e.g. containers infrastructure using Docker & Kubernetes cluster create, manage and upgrade. Create, consult on and review architectural decisions of infrastructure projects/products. Build and maintain the firm s critical IT infrastructure such as Linux, Windows, Git, DNS, Kerberos, Syslog, Apache, Perl, Python, E-mail, Ansible, ELK. Safeguard the firm s and its customers data. Minimize the risk of system failures and ensure that controls are in place to detect failures. Work with tech teams to ensure infrastructure scales dynamically based on the usage pattern. Collaborate with internal teams to develop messaging to senior stakeholders. Build and maintain relationships and create trust with internal stakeholders and Application Engineering teams. Communicate with all stakeholders, prepare project plans, release notes and conduct regular governance meetings. What you'll need: 10-20 years of experience in system administration/software engineering. Strong programming experience in Python/C/Go/Haskell. Good knowledge of Unix system, web technologies, and AWS. Experience with tools and processes that will help you manage, understand, and debug large, complex distributed systems. Attention to detail and quality, and the ability to work well in and across teams. The ability to be self-motivated and to think independently while being a team player. Exceptional verbal and written communication skills. Ability to multitask and manage multiple deliverables paired with a can-do attitude.

Job Title: Manager - Data Science Location: Hyderabad Department: Data Science Employment Type: Full-Time, Permanent Role Overview: As a Manager - Data Science at Blend, you won t just manage you'll lead by doing. This role demands strong hands-on expertise in Machine Learning (ML), Generative AI, Python, SQL, and any cloud environment (GCP, Azure, or AWS). You will stay deeply engaged in the technical side while mentoring and growing a high-performing team. You ll be responsible for leading end-to-end AI/ML project execution, collaborating with cross-functional teams, and driving innovation within Blend's Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, we d love to have you on board! Key Responsibilities: Delivery & Project Management: Lead the development and implementation of ML models, Generative AI solutions, and predictive analytics. Perform data mining, feature engineering, and statistical analysis to extract meaningful insights. Own project roadmaps, ensure quality control, and drive timely delivery of projects. Collaborate with Data Engineering teams to deploy and operationalize ML models. Automate and optimize workflows to enhance efficiency and streamline processes. Practice Development: Contribute to the scaling of Blend s Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership in AI/ML. Evaluate emerging AI trends and tools and integrate them into Blend s ecosystem. Lead innovation initiatives, research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team. Guide team members' career development and set performance benchmarks. Collaborate with cross-functional teams to ensure seamless execution of projects. Qualifications: Experience: 8+ years in Data Science & AI, with hands-on expertise in ML, Generative AI, Python, and SQL. Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.). Proven experience in end-to-end ML deployment, including working with Azure, AWS, GCP, or Databricks. Industry Expertise: Demonstrated ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce. In-depth understanding of statistics, probability, stochastic processes, and causal inference. Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders. Experience with big data tools such as Hadoop, Hive, PySpark, and ML pipelines. Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics. Education: Bachelor s/Master s degree in Computer Science, Statistics, Math, Operations Research, or a related field. What You Get in Return: Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise and experience. Dynamic Career Growth: Our vibrant environment offers opportunities for rapid growth, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Our Idea Tanks offer a space for you to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Engage in casual Growth Chats to learn from the best, whether it s over lunch or a laid-back session with peers. Snack Zone: Enjoy a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: Expect regular Hive-Fives, shoutouts, and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We support your growth by covering the cost of certifications to level up your skills. If you're ready to lead cutting-edge AI projects and grow within a dynamic team, Blend is the place for you. Apply today to be part of an innovative and collaborative culture! Qualification : Bachelors/Masters degree inComputer Science, Statistics, Math, Operations Research, or a related field.

Lead Java Developer Key Responsibilities Lead, mentor, and guide a team of Java developers. Architect, design, and develop scalable, high-performance applications. Collaborate with teams to define and implement technical requirements. Ensure code quality, security, and best practices in software development. Optimize application performance and troubleshoot complex issues. Stay updated with emerging technologies and recommend improvements. Required Skills & Experience A minimum of 7 years of experience in Java development, including leadership experience. Expertise in Java 8+, Spring Boot, and Microservices architecture. Proficiency in RESTful APIs, Hibernate/JPA, and relational databases. Experience with cloud platforms and CI/CD pipelines. Strong knowledge of messaging queues such as Kafka, RabbitMQ, and ActiveMQ. Extensive experience in software design and architecture. Hands-on knowledge of DevOps practices, Docker, and Kubernetes is a plus. Excellent problem-solving skills and ability to work in an Agile environment. Competitive salary and benefits. Opportunity to work with cutting-edge technologies. Collaborative and growth-oriented work environment. If you re passionate about leading development teams and building high-quality software, apply now!

About the Job Like Google's own ambitions, the work of a Software Engineering Manager goes far beyond Search. This role combines technical leadership with team management to drive large-scale, impactful projects while enabling your team of engineers to deliver their best work. You ll not only contribute to product strategy and manage project goals but also foster the growth of talented engineers across your team. Google s engineering teams tackle challenges in information retrieval, artificial intelligence, distributed computing, large-scale system design, networking, security, and data analytics, among others. As a manager, you will lead engineering teams across multiple locations and drive high-impact solutions for complex challenges. Our Enterprise Data & Engineering (EDE) team is focused on unlocking the value of enterprise data, making it accessible, reliable, secure, and actionable for Googlers. Corp Eng builds business solutions that scale globally to support Google s internal operations and services. Our mission is simple: We are Google for Googlers delivering tools and experiences that help every Googler create impactful products and services. Responsibilities Conceive and deliver data management and analytics solutions to meet Googlers' needs, driving high-impact projects across Google. Influence Connected Data strategy, ensuring consistent and secure data assets built on canonical entity schema for higher-level insights. Ensure data integrity and security, implementing procedures to maintain the highest levels of confidentiality and data protection. Partner with internal teams to define and implement solutions that improve business processes. Maintain the highest standards of development practices, including technical design, systems configuration, testing, and writing clean, modular code. Minimum Qualifications Bachelor's degree or equivalent practical experience. 8 years of experience in software development using one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 3 years of technical leadership experience overseeing projects, with 2 years in people management or team leadership. Experience in data management, data integration, distributed databases, and SQL pipelines. Preferred Qualifications Master s degree or PhD in Computer Science or a related technical field. Experience implementing and integrating third-party applications in domains like Finance, Supply Chain, HR, and Marketing.

About the Job Like Google's own ambitions, the role of a Software Engineering Manager goes beyond Search. This position combines technical leadership with team management to drive high-impact AI/ML projects while enabling engineers to deliver their best work. You ll manage project goals, product strategy, and team development, ensuring that both innovation and execution stay at the forefront. Google s engineering teams tackle challenges across AI, natural language processing, large-scale system design, distributed computing, security, and more. As a manager, you ll guide the team in exploring new technologies while building AI/ML solutions that scale for Google's IT and Support business, driving efficiencies at scale through automation. In Corp Eng, we deliver world-class business solutions for all Googlers. By combining AI, ML, and automation, we help improve processes, build impactful solutions, and empower teams to create more helpful products and services. Simply put: We are Google for Googlers. Responsibilities Lead a team of engineers, driving technical strategy and execution of key AI/ML projects, ensuring timely and high-quality delivery. Build applied ML products using the latest ML techniques and tools (e.g., TensorFlow, deep learning, natural language processing). Drive engineering projects and ML model development to enable agentic automation and deliver scalable solutions. Collaborate with leadership across functions to identify new opportunities, design solutions, and shape the vision for AI/ML in the IT and Support space. Minimum Qualifications Bachelor s degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience in software development using one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow) or applied ML (e.g., deep learning, natural language processing). 3 years of technical leadership experience, including 2 years in people management or team supervision. Preferred Qualifications Master s degree or PhD in Engineering, Computer Science, or a related technical field. Strong knowledge of AI/ML algorithms, techniques, and tools. Excellent problem-solving, analytical, and communication skills.

About HSBC If you're looking for a career that will help you stand out, join HSBC and fulfill your potential. Whether you want a career that could take you to the top or simply take you in an exciting new direction, HSBC offers opportunities, support, and rewards that will take you further. HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and ultimately helping people fulfill their hopes and realize their ambitions. The Role We are currently seeking an experienced professional to join our team as a Project Manager. In this role, you will lead the design, development, and implementation of scalable, event-driven systems that bridge the gap between legacy and modern platforms. Your role will be pivotal in ensuring seamless communication, driving the integration of platforms, and leading end-to-end development efforts to deliver robust IT solutions. Principal Responsibilities Events Architecture and Development: Design, develop, and implement scalable, event-driven systems to ensure seamless integration and communication between legacy and modern platforms. Integration Expertise: Lead efforts to integrate legacy platforms with new systems while ensuring minimal downtime and maximum operational efficiency. Full Stack Development: Drive the full-stack development of applications, overseeing both front-end and back-end technologies. Technology Leadership: Provide technical guidance and leadership in the adoption of event-driven and microservices architectures, ensuring alignment with business and technical objectives. Collaboration: Work closely with cross-functional teams, including product managers, architects, and engineers, to deliver robust IT solutions that meet business needs. Stakeholder Engagement: Present technical designs, strategies, and outcomes to senior executives and key stakeholders in a clear and concise manner. Quality Assurance: Oversee quality assurance processes to ensure all deliverables meet the highest standards through rigorous testing and peer reviews. Documentation and Best Practices: Develop comprehensive technical documentation, contribute to organizational knowledge, and promote adherence to best practices across the team. Requirements Experience: 10-15 years of IT experience, including substantial experience in leading enterprise application development, delivery, and support. Project Management Expertise: Solid understanding of software development life cycle models, with expert knowledge of both Agile and traditional project management methodologies. Ability to blend these practices effectively to suit the project and business environment. System Integration: Proven success in integrating legacy systems with modern platforms. Cloud Platforms: Experience with cloud platforms like AWS, Azure, or GCP, focusing on serverless and event-driven services. Event Streaming Technologies: Familiarity with tools like Apache Kafka, RabbitMQ, or other event-streaming technologies. Database Experience: Hands-on experience with both relational (SQL) and NoSQL databases. Agile and SCRUM: Prior experience with SCRUM/Agile methodologies in enterprise-level application development projects. CI/CD & DevOps: Exposure to CI/CD pipelines, containerization (Docker), and orchestration tools (Kubernetes). Strong technical capabilities in DevOps, SAFe, and Agile control frameworks. Cloud Computing & Microservices: Experience in executing projects involving cloud computing, APIs, and microservices. Leadership & Mentorship: Proven ability to mentor, develop talent, and motivate teams to achieve optimal performance levels and career development. Stakeholder Management: Strong ability to translate technical details into business insights, and confidently present ideas and strategies to senior stakeholders and executives. Global Presence: Work for one of the largest financial services institutions in the world with operations across 64 countries and territories. Career Growth: Leverage HSBC s opportunities for professional development and career progression. Impactful Work: Play a key role in driving technological innovation and contributing to the future of global financial services. Qualification : At least 10 15 years of IT experience, including exposure to planning, leading, managing enterprise application development, delivery, and support.

The Test & Device Automation team is responsible for developing automation tools for various domains, including Mobile, MDM, Compute, Automotive, XR, and VR. These tools operate on both host systems and devices, enabling automated testing and optimization of Qualcomm Snapdragon platforms. The engineer will participate in design discussions, analyze system requirements, sustain software interfaces, and develop tools to support emerging technologies. Key responsibilities include integrating new features from Android, Windows, XR, and Automotive platforms into automation tools. Key Responsibilities: 1. Tool Development: Create and optimize automation test tools for multiple platforms (Android, Windows, XR, Auto, MDM). Design and develop software interfaces for Qualcomm Snapdragon platforms. 2. Feature Integration: Monitor upcoming API and feature changes in Android and other platforms. Incorporate updates into automation tools to maintain compatibility with new technologies. 3. Problem-Solving & Risk Analysis: Identify end-to-end use cases and risks for integrating new technologies. Address software impacts and incorporate improvements into the tools. Minimum Qualifications: Education: Required: Bachelor s degree in Engineering, Computer Science, or related field with 3+ years of relevant experience. Master s degree with 2+ years of relevant experience. PhD with 1+ year of relevant experience. Experience: Technical Skills: Strong proficiency in C#, C++, Python, and Android programming. Solid understanding of Data Structures and their applications. Proven experience in software test engineering and automation tools development. Familiarity with Source Code Control Systems, Continuous Integration Tools, and Bug Tracking Tools. Other Skills: Analytical and problem-solving abilities. Effective planning, time management, and decision-making skills. Excellent communication and teamwork skills. Preferred Skills: Insight into Android/Windows platforms and their architectures. Experience working in large organizations. Familiarity with XR, VR, and Automotive platforms. Work Environment & Accessibility: Qualcomm is an Equal Opportunity Employer, committed to providing accessibility accommodations during the hiring process for individuals with disabilities. Qualification : Bachelors degree in Engineering, Computer Science, or related field with 3+ years of relevant experience.

Company Overview: Microsoft s mission is to empower every person and every organization on the planet to achieve more. The Microsoft Security Response Center (MSRC) team is at the forefront of this mission, ensuring the security of Microsoft's products, including the Azure platform. The team operates in an agile, start-up-like environment where innovation, collaboration, and fast-paced execution drive success. We are seeking a skilled Data Scientist to join our dynamic and growing team. This is a unique opportunity to work alongside engineers, data scientists, and security experts to build foundational services that will shape the future of security response. Role Overview: As a Data Scientist at MSRC, you will leverage your expertise in Large Language Models (LLMs), Machine Learning (ML), and Natural Language Processing (NLP) to design and build systems capable of reasoning over vast amounts of data. You will collaborate closely with engineering teams to develop fine-tuned LLM models, evaluate model outputs, and work on solutions that align with the product's needs. This role requires you to think creatively and work across teams to drive innovative solutions while maintaining productive working relationships with stakeholders. Key Responsibilities: Develop ML Systems: Design, build, and deploy systems that enable LLMs to reason over large data sets, leveraging lighter models where applicable. Collaborate with Engineering Teams: Work closely with engineers and partner teams to deliver solutions, including fine-tuning LLM models and evaluating model outputs for product requirements. Applied Science & Experimentation: Conduct experiments in applied science, develop metrics, build ML pipelines, and implement algorithms for LLM, NLP, and Information Retrieval. Data Management & Integrity: Prepare and manage data, ensure data cleanliness, and communicate project updates to senior leadership. Contribute to data ethics and privacy policies. Build Conversational Models: Develop and deploy conversational models for natural language understanding at scale. Responsible AI & Privacy: Advocate for and follow best practices in Responsible AI and Privacy Preserving Machine Learning. Stakeholder Collaboration: Collaborate with security, engineering, and product teams to align models with business goals, gather feedback, and drive effective execution of strategies. Thought Leadership: Provide feedback to engineering teams, identify business opportunities, and contribute to industry best practices. Required Qualifications: Bachelor's Degree in Computer Science or a related technical field AND 4+ years of technical engineering experience in languages like C, C++, C#, Java, JavaScript, or Python, OR Master's Degree in Computer Science or a related field AND 3+ years of technical engineering experience, OR Equivalent experience in the field. 3+ years of hands-on experience in Machine Learning. Proficiency in using ML tools such as Pytorch and TensorFlow. Experience in prompt engineering, fine-tuning, and using OpenAI or Azure Open AI APIs. Strong system development skills with experience in developing both rapid prototypes and complex, architected systems. Preferred Qualifications: Experience developing and deploying conversational models at scale. Familiarity with Responsible AI practices and Privacy Preserving Machine Learning. Ability to collaborate with cross-functional teams and work in a fast-paced environment.

Overview Are you passionate about working with partners and helping them build and scale their SaaS services on Azure? Do you have a strong background in program management, cloud computing, and business analytics? If so, we have an exciting opportunity for you! We are looking for a Technical Program Manager (TPM) to join the Azure Native ISV Services team, which is responsible for enabling and supporting ISV partners who want to leverage Azure as their platform of choice for delivering SaaS solutions. As a Technical Program Manager, you will work closely with one or more ISV partners, such as Elastic, and help them achieve their goals of building, running, and growing their services on Azure. You will also drive internal programs within the team and across Azure to ensure a smooth and streamlined process of project execution, tracking, reporting, and compliance. Qualifications To be successful in this role, you should have: A bachelor's degree in computer science, engineering, or a related field, or equivalent work experience. At least 5 years of experience in program management, preferably in cloud computing or SaaS domains. Excellent communication, collaboration, and negotiation skills, with the ability to work effectively with internal and external stakeholders at various levels. Strong analytical and problem-solving skills, with the ability to define and measure key performance indicators and drive data-driven decisions. Experience with Azure services, DevOps tools, and compliance frameworks is a plus. If you are interested in this role, please apply online with your resume and a cover letter explaining why you are a good fit for the position. Responsibilities As a Technical Program Manager, you will: Lead the end-to-end program for a partner company like Elastic for Azure Native ISV Services, covering all aspects of building their SaaS service on Azure, such as delivering a control plane on Azure, bringing up and managing their service on Azure with dependencies on various first party Azure teams, and providing a streamlined support channel as the service runs and scales on Azure. Establish and monitor clear business and engineering metrics for the Azure Native ISV services and report them regularly to cross-company stakeholders across Azure, helping teams and the ISV partner reach target ACR goals. Scale the current Azure Native ISV services by serving the above two requirements for a larger set of partners. Ensure a smooth and streamlined process of project execution and tracking within the team using Azure Devops and report to stakeholders on team progress in OKRs. Manage compliance on production services consistently and fold into regular project execution tracking.

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. #LI-DNI#EasyApply Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field

The Opportunity: We are re-imagining agricultural insurance with the power of Public Cloud, GIS, Remote-sensing and cutting-edge AI-based algorithms to assess, model and price insurance risks for farmers adequately. We are taking the latest advances in Mobile, Geospatial technologies and the web to empower the next generation of agricultural insurance. One of our eminent clients is looking for a Senior Program Manager specializing in strategic delivery. You will work on highly complex, cross-team, multi-year product delivery and help to ensure teams are delivering high quality products and services while being responsible for the over-arching roadmap. You will help teams work on predictability and quality while supporting engineering and operational excellence. You will define roadmap deliverables, develop program execution plans, track progress, anticipate risks, provide escalation management, make sound trade off decisions, and balance business needs versus technical constraints. The candidate will make an impact by aligning business and global technology goals while managing relationships across cross-functional teams and influencing decisions across multiple work streams and executive leadership. The primary customers for the role are engineering leaders, product managers, developers, and analytics teams of the client. The candidate will have a deep understanding of Lean-Agile program management practices (including SAFe), DevOps, and SRE principles and practices. The candidate s technical depth should include understanding the principles behind why engineering teams make architectural decisions, including cloud native platforms, streaming data platforms, and the challenges faced when providing secure solutions in regulatory spaces as well as ensuring the privacy of our customers. Roles and Responsibilities: Partner with Engineering, Product Management, and User Experience teams to define, prioritize, and implement features, infrastructure, processes, and workflow, and oversee the framework that drives product backlog management and product/feature releases Manage scope and change management practices and drive governance to ensure strong scope change control Drive and oversee coordination of cross-functional teams involved in the product development to support all aspects of the program management Manage the weekly forums of health measurement, dashboard generation, status reporting, risk monitoring, issue escalations, process audit & reporting Establish quality standards to be followed across the teams. Monitor process adherence & activate remediation protocols where needed Provide on-going visibility to all stakeholders on program status including key decisions, dependencies, risks, issues, metrics, etc. Uncover, anticipate, raise, and aggressively remove obstacles which prevent teams from delivering against expected program outcomes. Support the teams to collaboratively drive continuous improvement and create a learning organization to enable speed to market and foster innovation. Actively seek to improve the engineering delivery pipeline reducing cycle time and increasing quality and security posture. Create order out of chaos as needed, and masterfully navigate ambiguities to create direction and strategy through discovery and a product mindset. Provide thought leadership and perspective across multiple organizations to eliminate knowledge silos. Be responsible for tool assessment and recommendation in alignment with program management best practices Desired Skills and Experience: Bachelor s degree in computer science, Engineering, Information Technology, or relevant area of study, or equivalent work experience 20+ years experience in engineering, engineering program management, technical program management, product management, or related area Extensive experience using, managing, and supporting teams with Agile program management tools, such as Jira, Rally, Confluence, etc. Experience managing programs across cross functional teams, building sustainable processes and coordinating release schedules Solid experience in driving process improvements and implementation of various tools related standard processes Certification in Lean-Agile practices, such as Certified Scrum Master or SAFe. Experience managing complex programs with solutions relying on cloud-native technologies. Extensive experience managing programs supporting Platform service-oriented or SaaS based solutions. Strong verbal and written communications skills with the ability to influence the enterprise. Qualification : Bachelors degree in computer science, Engineering, Information Technology, or relevant area of study, or equivalent work experience

Description A Technical Support Manager is responsible for ensuring the success of our customers by effectively managing a team of Technical Support Engineers (Salesforce Product Suite Technical Experts) along with associated support projects and processes. This role involves handling critical customer escalations, career development of individuals, and project management processes. Apart from day-to-day activities, the candidate is expected to be involved in strategic planning to grow the team, run projects of organizational importance, guide / mentor next cadre of leadership as per Salesforce values, while being a face of organization to the wider world The candidate is expected to be independent, self-motivated, proactive, results-oriented and able define and provide a high level of customer satisfaction through the delivery of world-class support services. Location: Hyderabad/Bangalore Work Hours: We operate 24x7 which can involve working during one of the below shifts determined as per business need and also have a non-standard work week(Ex: Tue - Sat, Wed - Sun). While we have 5 days a week, it is not necessary that the weekend is Saturday and Sunday. You may get your weekly off on any day of the week (Mon/Tue, Thu/Fri)AMER hours (Eastern Standard Time - 5.30 PM/6.30 PM IST or Pacific Standard Time 8:30 PM/9:30 PM IST onwards depending on Daylight Savings Time) EMEA hours 12:00 PM/1 PM/2PM IST onwards depending on Daylight Savings Time APAC hours 5.30 AM IST onwardsWork hours are subject to change depending on Business needs. Experience/Skills Required: Overall work-experience of 11+ years, Strong people management expertise of at least 6 years in technical support management roles. Strong Experience in managing technical support professionals. Experience with support tools and phone systems. Excellent written and verbal communication skills. Strong team player with a service-oriented attitude and a keen focus on enhancing customer experience. Continuously raises the bar on what defines customer service delivery. Excellent situational awareness in handling objections in dynamic customer environments. Leading cross-functional collaboration across global teams Self-motivated, takes initiative, assumes ownership and runs programs with minimal supervision Drive stakeholder engagement across peers and senior management Ability to address and effectively engage large audiences and hold their interest Strong Executive presence and excellent convincing skills; ability to hold own point of view in tough conversations Provide guidance, mentoring, training and delegate responsibilities to managers enabling their professional growth and development Ability to successfully communicate and coordinate with departments across the organization including Sales, Consulting, CSM, QA, Program Management, and Product Management Strong Escalation management experience with multiple stakeholders including customers and product teams Demonstrate strong work ethic and advanced organizational skills Ability to develop and deliver creative business solutions for complex problems Ability to attract, hire and retain high-performing support professionals Ability to work on competing priorities under tight timelines and delivery pressures. Analytical bent of mind to understand data and derive actionable insights Detailed Role & Responsibilities: We are a 24 hrs 7 days a week 365 days center and hence would need candidates who are open to work any shift based on business requirements including Saturday and/or Sunday. Manage a support team to achieve business objectives including the attainment of targets for customer satisfaction, employee satisfaction, service levels, resolution time, and project deadlines. Set team goals in alignment with Global Support objectives. Assist direct reports in the definition and attainment of individual goals Ensure that direct reports have the resources, information, and processes necessary to deliver effective technical solutions to our customers Ensure the delivery of high-quality technical and soft-skills training for direct reports Deliver performance reviews for all direct reports and provide regular feedback on performance in terms of agreed upon performance and employee development goals Effectively represent the Support department on cross-organizational teams to deliver on organizational objectives. Manage workflows and schedules for direct reports and ensure adequate workload coverage Deliver regular reports that provide qualitative and quantitative descriptions of business performance Manage key processes including FAQ analysis, case reviews, and customer feedback analysis Develop and maintain Support procedures and policies Advocate for customers and define ways to continually add value to the customer experience Serve as a manager, mentor, knowledge resource, and escalation point for support agents; Build credibility and trust within the support group Foster and facilitate the professional growth and development of team members Empower and install confidence in team members to enable them grow Flexibility to work in staggered shifts, where weekly-offs are not Saturday and Sunday but two consecutive days from the other five weekdays Work as Duty Manager on rotation or as per business needs handling customer escalations and priority issues Take up and deliver on any other responsibilities as assigned from time to time by reporting manager/support management