1508 Product Engineering Jobs - Page 6

Job Description Summary The Senior Product Owner is an integral member of the product engineering team. This role uses domain and business process expertise to elaborate and convey detailed product requirements in the form of epics and user stories together with supporting artifacts (such as business process maps and use cases) to the software development teams. Job Description Essential Responsibilities: In this role the Sr Product Owner will ensure that technical requirements for the near term upcoming development are sufficiently elaborated such that the delivery team is enabled to estimate plan and commit to delivery with high confidence. In addition as the Sr Product Owner within the region the role requires leadership coaching mentoring and overall management of the regional business analyst team working in direct collaboration with other global BA teams for an efficient and consistent process resulting in quality deliverables from the engineering team. Drives process definitions and improvements for the business analyst role as well as for agile development in general. Captures the voice of the customer to drive business process definitions and product needs. Work directly with engineering director to manage the business analysis activities to meet engineering and product goals. Develop positive working relationships with external customers and users. Work directly with Product Managers and / or customers to define scope and value for new developments. Collaborate with Engineering and Product Management to prioritize scope for releases and groom the Product backlog. Responsible for ensuring that non-functional requirements exist and are prioritized alongside the functions in the Product and Release Backlogs. Facilitate the breakdown of the Epic User Stories into u201CSprint Sizedu201D User Stories and participate in backlog reviews with the development team Ensure that the features in the User Stories / requirements are expressed in a way that all members of the team and stakeholders clearly understand the requirements and how they fit into the product backlog. Collaborate closely with UX to ensure technical requirements scenarios business process maps and other artifacts align with User Experience designs. Define requirement acceptance criteria with input from customers product managers and the engineering team. Generate and execute the required functional test cases. Validates that test scenarios meet the feature acceptance criteria and customer expectations. Responsible for the maintenance and quality of the documented user stories/requirements in the defined requirements management tool. Throughout the development cycle remain focused on the software being produced and whether it meets the requirements. Proactively provide relevant feedback to internal and external stakeholders. Develop and be prepared to execute effective demonstrations of the product to internal and external stakeholders. Maintain leading edge understanding of technologies and industry trends relevant to the application via training webinars on-line journals Trade Shows and User Groups. Lead other business analysts agree and monitor objectives and undertake regular feedback. Qualifications/Requirements: Educational Qualifications Bachelor of Science degree in Computer Science Electrical Engineering (power systems) or a related majors and a minimum of 5 years of experience; Desired Characteristics: Distribution Power System or relevant electrical utility industry knowledge or expertise An understanding of best practice business analysis methods and tools Experience with Agile software development methodologies (Scrum) Results driven person with strong interpersonal skills Excellent communication skills and the ability to interface with senior leadership with confidence and clarity Able to energize teams through inclusiveness and connection with people encouraging input from all members of the team. Able to work well with global teams including time-zone flexibility Willingness to travel both regionally and internationally. Additional Information Relocation Assistance Provided: Yes

On the Engineering team, we build the Infrastructure Cloud which allows enterprises to take a unified approach to Infrastructure and Security Lifecycle Management: Infrastructure Lifecycle ManagementBuild / Deploy / Manage Terraform allows you to use infrastructure as code to provision and manage any infrastructure across your organization. Packer standardizes image workflows across cloud providers, allowing teams to build, govern and manage any image for any cloud. Waypoint makes infrastructure easily accessible at scale, enabling platform teams to deliver golden patterns and workflows with an internal developer platform. Nomad brings modern application scheduling to any type of software, allowing you to manage containers, binaries and VMs efficiently in the cloud, on-premises and across edge environments. Security Lifecycle ManagementProtect / Inspect / Connect Vault provides organizations with identity-based security to automatically authenticate and authorize access to secrets and other sensitive data. Boundary standardizes secure remote access across dynamic environments, allowing organizations to connect users and manage access with identity-based security controls. Consul standardizes service networking, allowing you to discover and securely connect any service across any runtime with identity-based service networking. We deliver the Infrastructure Cloud through an enterprise-grade unified SaaS platform, HCP, as well as to enterprises through self-managed/on-premises options. Across product engineering and platform engineering teams, we are looking for great engineers to come join us in developing the Infrastructure Cloud! Responsibilities: We’re looking for Senior Engineers with a deep backend focus to join our team. In this role, you can expect to: Design, prototype and implement features and tools while ensuring stability and usability Collaborate closely with Product Design and Product Management partners, as well as engineers on your team and others Act as a subject matter expert on quality development with an emphasis on Golang development Lead and execute large-scale projects, ensuring the reliable delivery of key features from design through full implementation and troubleshooting. Drive end-to-end project lifecycle, including architecture design, implementation, and issue resolution, with a focus on quality and efficiency. Evaluate project tradeoffs and propose solutions, proactively removing blockers and keeping stakeholders informed on progress, issues, and milestones. Collaborate with internal teams, customers, and external stakeholders to design solutions that align with requirements and customer needs. Advocate for strategic technical roadmap initiatives that enhance the system’s overall effectiveness across teams and the organization. Debug and resolve complex issues to improve the quality and stability of products or solutions Review and assess code for quality, design patterns, and optimization opportunities, ensuring best practices are followed Mentor and guide software engineers, sharing technical knowledge and promoting best practices in development processes Facilitate collaborative team activities, such as code pairing and group troubleshooting, to foster a productive and cohesive team environment Support reliable production environments, including participating in an on-call rotation Strive for quality through maintainable code and comprehensive testing from development to deployment Required education Bachelor's Degree Required technical and professional expertise Typically, you should have at least six or more years of experience as an engineer You have professional experience developing with modern programming languages and frameworks, and are interested in working in Golang and Ruby specifically You have experience working with distributed systems, particularly on a cloud provider such as AWS, Azure or GCP, with a focus on scalability, resilience and security. Emerging ability to direct work and influence others, with a strategic approach to problem-solving and decision-making in a collaborative environment Demonstrated business acumen and customer focus, with a readiness for change and adaptability in dynamic situations Cloud-native mindset and solid understanding of DevOps principles in a cloud environment Familiarity with cloud monitoring tools to implement robust observability practices that prioritize metrics, logging and tracing for high reliability and performance. Intentional focus on stakeholder management and effective communication, fostering trust and relationship-building across diverse teams Integrated skills in critical thinking and data-driven analysis, promoting a growth mindset and continuous improvement to support high-quality outcomes Preferred technical and professional experience You have experience using HashiCorp products (Terraform, Packer, Waypoint, Nomad, Vault, Boundary, Consul). You have prior experience working in cloud platform engineering teams

Electronic Machine manufacturing, Testing and Maintenance, Electronic Devices Troubleshoots and Resolve the Technical Issues, Maintaining Technical Document. Handling daily production and Maintenance department, Line production Management,

What You Will Do: Lead Product Validation: Drive VRF/PAC product validation by collaborating with global teams, leading test standard creation, and executing projects to ensure the product meets required performance standards. Team Leadership: Manage a team of engineers responsible for tracking and executing VRF product validation, solving complex technical issues, and overseeing product and lab testing. Issue Communication: Effectively communicate technical and functional issues across diverse audiences, ensuring clarity and alignment on issues and solutions. Test Management: Oversee all aspects of test design, planning, strategy, and execution, including test case/scenario preparation, test data preparation, and defect reporting/documentation. Collaboration: Work closely with cross-functional teams including product engineering, development, project management, and quality assurance to mitigate risks and ensure timely delivery. Continuous Improvement: Identify and implement improvements in test processes and standards. Introduce new technologies or processes for labs and product validation. Compliance & Standards: Ensure the validation processes align with design standards, compliance requirements, and industry certifications such as ISO 17025. How You Will Do It: Leadership & Team Building: Lead and motivate a global team of testing professionals, promoting innovation, collaboration, and a culture of continuous improvement. Testing Methodologies: Demonstrate strong knowledge of testing methodologies, Design Quality Assurance (DQA) mindset, and design engineering processes. Adaptability & Problem Solving: Exhibit the ability to work in a fast-paced, changing environment with multiple priorities while showing quick turnaround for product design and testing issues. Process Improvement: Use DFMEA (Design Failure Mode and Effects Analysis) and other tools to identify areas of improvement and lead the team to solve technical issues. Cross-functional Collaboration: Act as a liaison between product engineers, developers, project managers, and product owners to resolve issues and ensure project risks are managed. Proof of Concepts (PoC): Develop PoCs to demonstrate new ideas, process improvements, or new technologies for lab validation. What We Look For: Required Qualifications: Education: BE/B.Tech (Bachelor's in Engineering or Technology). Experience: 10 to 12 years of experience in new product development and validation, specifically within the VRF/PAC domain. Technical Knowledge: Strong understanding of DFMEA, test standards, and compliance requirements. Six Sigma & ISO 17025: Knowledge of Six Sigma methodologies, excellent MS Office skills, and ISO 17025 certification. Travel Flexibility: Willingness to travel both within India and internationally for project-related needs. Preferred Qualifications: Product Development & Testing Management: Previous experience managing product development, product testing, and change tracking for large-scale VRF/PAC projects. Strong Communication Skills: Excellent verbal and written communication skills for effective interaction with cross-functional teams and stakeholders. Adaptability & Motivation: Highly motivated, adaptable, and eager to learn new techniques to improve product validation processes.

Max Life Insurance Company Limited is looking for Product Engineer II to join our dynamic team and embark on a rewarding career journey Work with product management and stakeholders to understand product requirements and define product specifications Design and develop software products, using best practices and industry standards Write, test, and debug code to ensure high-quality software Collaborate with cross-functional teams, such as QA, operations, and customer support, to ensure product success Troubleshoot and resolve issues with existing software products Provide technical expertise to stakeholders and assist with product-related questions Continuously improve product design and development processes Experience with product development and product management Ability to work independently and in a team environment Strong problem-solving and analytical skills Excellent communication, interpersonal, and organizational skills

As a visionary leader passionate about driving innovation in product engineering, you will spearhead the end-to-end delivery of cutting-edge solutions aligned with client goals. In the role of Delivery Head in the Product Engineering division, you will be responsible for leading global teams to deliver innovative technology products that exceed client expectations. Your strategic focus will encompass product development, client engagement, and global delivery excellence, all while managing P&L for maximum impact. You will lead product development with an emphasis on quality, innovation, and timely delivery. Building trusted partnerships with client stakeholders and aligning delivery to their vision and business objectives will be key responsibilities. Managing and inspiring global delivery teams to ensure seamless collaboration across geographies will also be part of your role. You will drive strategic solutions by leveraging AI and advanced technologies for optimized outcomes, while overseeing financial performance through strong P&L management to balance growth and efficiency. To excel in this role, you should have proven experience in product engineering leadership and technology delivery. Strong client engagement skills, the ability to align product strategies with business goals, and expertise in managing global teams and cross-cultural collaboration are essential. A strategic thinker with a passion for innovation and AI-driven solutions, you should also possess solid financial acumen and experience in managing P&L and operational efficiency. Your leadership style should be inspirational and visionary, motivating teams towards shared success. Being collaborative and analytical will help you thrive in complex, dynamic environments, while your results-driven approach will demonstrate your commitment to delivering excellence and measurable impact. Join us and be part of an organization that values innovation, embraces cutting-edge technology, and empowers leaders to make a difference. Shape the future of product engineering and technology delivery on a global scale by applying now and leading the change. If you have any questions or need assistance, feel free to contact us at Shivraj.Suresh@Marlabs.com or Chethan.Reddy@Marlabs.com.,

You are an experienced Product & Project Engineer with a minimum of 7-10 years of total experience, including at least 5 years in engineering product data and PLM systems. Your expertise lies in data migration and Product Lifecycle Management (PLM) systems, particularly Siemens Teamcenter. Your role will involve managing and executing engineering data migration initiatives and delivering robust product engineering solutions. You will be responsible for leading and contributing to PLM and product engineering initiatives using Siemens Teamcenter. Additionally, you will plan and execute data migration projects, collaborate with cross-functional teams, and ensure seamless data transition between legacy systems and Teamcenter PLM. Defining and applying best practices in data modeling, engineering configuration, and PLM architecture will be crucial aspects of your role. As a Product Engineer, you will support tool integrations and customizations, participate in technical reviews and validation efforts, and stay updated with the latest trends in PLM systems and digital engineering platforms. Your primary mandatory skill is proven expertise in configuration, customization, data modeling, and data migration within the Teamcenter environment. Experience in tools like SimaPro, ONESOURCE for Engineering, ANSYS Suite, Substantio, and Advanced Design System (ADS) will be considered a strong advantage. You should hold a Bachelors or Masters degree in Engineering, Computer Science, or a related field. Strong analytical, problem-solving, and communication skills are essential for this role, along with the ability to manage projects in a hybrid work model across multiple geographies and functions. As a part of UST, a global digital transformation solutions provider, you will work towards making a real impact through transformation. UST partners with leading companies worldwide, embedding innovation and agility into their clients" organizations. With over 30,000 employees in 30 countries, UST aims to build for boundless impact, touching billions of lives in the process.,

Redefine the future of customer experiences. One conversation at a time. we're changing the game with a first-of-its-kind, conversation-centric platform that unifies team collaboration and customer experience in one place. Powered by AI, built by amazing humans. Our culture is forward-thinking, customer-obsessed and built on an unwavering belief that connection fuels business and life; connections to our customers with our signature Amazing Service , our products and services, and most importantly, each other. Since 2008, 100,000+ companies and 1M+ users rely on Nextiva for customer and team communication. If you're ready to collaborate and create with amazing people, let your personality shine and be on the frontlines of helping businesses deliver amazing experiences, you're in the right place. Build Amazing - Deliver Amazing - Live Amazing - Be Amazing Were currently seeking a bright and talented individual for a Senior Platform Operations Engineer position to join our expanding voice platform operations team. This position is responsible for the troubleshooting voice telephony systems in the public cloud, assistance in resolving complex software related issues controlling the telephony application switch and related applications, support of platform migrations, and support to Product, Engineering, and Customer Support/Operational teams. The role is responsible for upholding the reliability vision of the platforms, balancing the needs of the business stakeholders and supporting development and engineering needs. The Senior Platform Operations engineer will be part of a 7/24/365 International Operations team that works closely with engineering teams to ensure ongoing system reliability and operational capacity, ensuring our platforms and services are running optimally. The role will include execution of build and deployment automation, testing new platforms, services, and features of both our product technology stack, and tooling used to manage and operate our platform teams. A background in software development, DevOps, and systems engineering is a plus. The candidate must be self-driven, highly motivated, have a sharp eye and attention for detail, responds quickly when needed, a has sound decision making skills. Key Responsibilities Execute automation tools to deploy and integrate new voice platforms Supporting and defining custom tooling & observability needs for platform operations teams Lead testing efforts of new voice features, platform types, and communication endpoints including testing support of new voice stack features in product development Lead upgrades and migrations of platforms for life cycle management Experience working in multi-region geo-localized data services Support for in-day and after-hours Incident resolution Build, maintain, and promote strong technical documentation Support for Incident resolution Build, maintain, and promote strong technical documentation Normal business hours and after hours/on call responsibilities Technical liaison to product development, engineering, support, and executive level staff Qualifications At least 5+ years of platform operations experience, with 3+ years experience in systems engineering A software development and operational background with experience in real-time communications voice infrastructure including mobility; preferred knowledge of FreeSWITCH, Kamailio and Coturn Solid understanding scripting languages like Terraform, Ansible, JavaScript and Python Strong understanding of public cloud space infrastructure (GCP preferred), security compliance, IaC, build and deployment methodologies Strong understanding of CI/CD and distributed architectures, ability to read and troubleshoot Java code base Solid knowledge of WebRTC and VoIP related to protocols and architecture Solid SRE best practices, including reliability, monitoring, availability, and incident response Solid understanding of traditional infrastructure tenants; Networking, Firewalls, and OS base Strong understanding of micro-services architecture Database experience with enterprise class SQL and NoSQL big data services Demonstrate sound judgment in problem solving, identification, troubleshooting and solutions Strong analytical and organizational skills, with attention to detail Demonstrate strong verbal and written communication skills Ability to multi-task, prioritizing multiple objectives and initiatives Able to work in a team environment and with a diverse group Mentoring and cross training to platform engineering and operations Competencies Organization, Time Management & Prioritization - Focuses on key priorities; plans, organizes, schedules and executes on tasks and projects in an efficient and productive manner Solutions-oriented - Leverages tools and resources around them; scopes out what is needed for each assignment or work activity, while identifying and making appropriate use of people and other organizational resources/tools that can be leveraged Communication Skills - Expresses themselves using clear, effective and efficient language. Listens patiently and attentively. Adapts to the purpose of the communication with appropriate style, substance, detail, confidence and channel. Possess the ability to manage multiple channels of communication simultaneously; phone, email, tickets, and chat Product & Position Knowledge - Displays specialized and/or in-depth skills, knowledge or judgement and can confidently bring to bear domain knowledge and experience Documentation - Clearly organizes and presents documentation to communicate engineering principles, procedures, processes, and visuals using software tools; web-based collaboration diagrams, text editors, presentation, and configuration repositories Core Technology and Industry Knowledge - Ability to analyze and document core architecture against systems engineering best practices, with advanced problem isolation and analysis on system platforms Typical Office Environment: Requires extensive sitting with periodic standing and walking. May be required to lift up to 35 pounds unassisted. May be required to lift over 35 pounds using assistive device and/or team lift. Requires significant use of personal computer, phone and general office equipment. Needs adequate visual acuity, ability to grasp and handle objects. Needs ability to communicate effectively through reading, writing, and speaking in person or on telephone. Nextiva DNA (Core Competencies) Nextiva s most successful team members share common traits and behaviors: Drives Results: Action-oriented with a passion for solving problems. They bring clarity and simplicity to ambiguous situations, challenge the status quo, and ask what can be done differently. They lead and drive change, celebrating success to build more success. Critical Thinker: Understands the "why" and identifies key drivers, learning from the past. They are fact-based and data-driven, forward-thinking , and see problems a few steps ahead. They provide options, recommendations, and actions, understanding risks and dependencies. Right Attitude : They are team-oriented, collaborative, competitive, and hate losing. They are resilient, able to bounce back from setbacks, zoom in and out, and get in the trenches to help solve important problems. They cultivate a culture of service, learning, support, and respect, caring for customers and teams. Total Rewards Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office. Our compensation packages are tailored to each role and candidates qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses. Medical - Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity. Group Term & Group Personal Accident Insurance - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means. Coverage Type - Employee Only Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000 Free Cover Limit - 1.5 Crore Work-Life Balance - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays Financial Security - Provident Fund & Gratuity Wellness - Employee Assistance Program and comprehensive wellness initiatives Growth - Access to ongoing learning and development opportunities and career advancement At Nextiva, were committed to supporting our employees health, well-being, and professional growth. Join us and build a rewarding career! Established in 2008 and headquartered in Scottsdale, Arizona, Nextiva secured $200M from Goldman Sachs in late 2021, valuing the company at $2.7B.To check out what s going on at Nextiva, check us out on Instagram , Instagram (MX) , YouTube , LinkedIn , and the Nextiva blog . #LI-RQ1 #LI-Hybrid

Job Description Designation: AI/ML Developer Location: Ahmedabad Department: Technical Job Summary: We are looking enthusiastic AI/ML Developer with 2 to 3 years of relevant experience in machine learning and artificial intelligence. The candidate should be well-versed in designing and developing intelligent systems and have a solid grasp of data handling and model deployment. Key Responsibilities: Develop and implement machine learning models tailored to business needs. Develop and fine-tune Generative AI models (eg, LLMs, diffusion models, VAEs) using platforms like Hugging Face, LangChain, or OpenAI. Conduct data collection, cleaning, and pre-processing for model readiness. Train, test, and optimize models to improve accuracy and performance. Work closely with cross-functional teams to deploy AI models in production environments. Perform data exploration, visualization, and feature selection Stay up-to-date with the latest trends in AI/ML and experiment with new approaches. Design and implement Multi-Agent Systems (MAS) for distributed intelligence, autonomous collaboration, or decision-making. Integrate and orchestrate agentic workflows using tools like Agno, CrewAI or LangGraph. Ensure scalability and efficiency of deployed solutions. Monitor model performance and perform necessary updates or retraining. Requirements: Strong programming skills in Python and experience with libraries like Tensor Flow, PyTorch, Scikit-learn, and Keras. Experience working with vector databases (Pinecone, Weaviate, Chroma) for RAG systems. Good understanding of machine learning concepts, including classification, regression, clustering, and deep learning. Knowledge of knowledge graphs, semantic search, or symbolic reasoning. Proficiency in working with tools such as Pandas, NumPy, and data visualization libraries. Hands-on experience deploying models using REST APIs with frameworks like Flask or FastAPI. Familiarity with cloud platforms (AWS, Google Cloud, or Azure) for ML deployment. Knowledge of version control systems like Git. Experience with Natural Language Processing (NLP), computer vision, or predictive analytics. Exposure to MLOps tools and workflows (eg, MLflow, Kubeflow, Airflow). Basic familiarity with big data frameworks like Apache Spark or Hadoop. Understanding of data pipelines and ETL processes. What we offer: Opportunity to work on live projects and client interactions. A vibrant and learning-driven work culture. 5 days a week Flexible work timings. About Company Techify is the Fastest Growing Tech Company with a talented, passionate and learning team. Techifys DNA Is About Solutions Technologies. We are here to help our customers grow their business. Our Vision is to Become One of the Best Product Engineering companies in India We put client relationships first hence our mission is to build software solutions that help clients transform their business by unleashing hidden potential with technology. So our success mantra is Customer first, Team second and We are the third. Our main focus is our Customers and Partners success. Our visionary and experienced team turns innovative ideas into efficient products softwares. Our well-defined processes ensure on-time delivery to our partners giving us an edge over our competitors. The most important pillar in achieving our goals is our dedicated Team and to encourage them and keep them motivated, we have set up a culture that rewards Self Development and Innovation. Our cutting-edge services include intensive research and analysis to identify the appropriate technology to achieve best performances by incurring least cost possible. We take a studied approach towards cost, performance, feature trade-offs to help companies surmount the challenges of delivering high-quality, timely products and services to the marketplace. We have the ability to take up any product be it at the stage of defining, designing, verifying or realizing.

Lead Embedded Software Engineer Join a team recognized for leadership, top innovator and diversity Exciting Leadership Opportunity within the Communication, Navigation and Surveillance (CNS) organization! The position is for Lead Embedded Software Engineer for Traffic & Surveillance product line within Communication, Navigation & Surveillance COE at HTS India. Primary responsibilities include Be a lead Embedded software engineer of the NPI development project responsible for software requirements, architecture, design, coding and end to end delivery. Provide technical support for products - field investigation, application support and factory support Guide the development process and create artifacts that meet FAA/EASA requirements Engages with business partners and actively contributes to business growth and innovation. Be part of a global team that designs, develops and integrates highly complex software functions within Honeywell Aerospace Electronic Solutions, CNS (Communication, Navigation, & Surveillance). Main objective will be to develop, test and integrate robust well documented embedded software at both a high and low level that interacts directly with hardware. You will be instrumental in designing, planning and coordinating work teams, as well as providing technical support. Utilize software expertise and scientific knowledge on software design and architecture to lead development activities. Drive growth as a technology leader and interface with internal and external customers and partners. Engages with business partners and actively contributes to business growth. Devises sustainable growth, competitive and differentiation strategies and promotes innovation across teams. Conceptualize, design, plans and implement innovative technologies that enable new and competitive products, derives process improvements. Accountable for estimates, works with technical teams to guide and resolve technical risks and assumptions, drive to realize opportunities and arrive at efficient estimates. Actively engages with key stakeholders and cross functional teams to achieve business objectives. A change agent and a practitioner of organizational initiatives. Works with product engineering managers in US and HTS, to help build technical capabilities in the team with hands on experiences, prototyping on ideas and industry technologies. Mentoring and upskilling the team for the product development and towards technology advancements from the industry. Drive the product mindset in team, inspire junior engineers. Work towards realizing the STRAP priorities and realizing the same in the STRAP period. Anticipates industry trends and actively networks with Industry bodies and associations. Contributes to enhancing Honeywells sustainable competitive advantage. Leads teams through application of profound or broad product /technical know-how within or across job areas, is cognizant of the latest technology trends in the business. You Must Have BE/B.Tech or M.E/M.Tech with 12+ Yrs of experience in AEROSPACE industry or (similar safety critical industry) in building and certifying products. Experience in leading technical design and architecture for product development. Lead & drive technical proposals. Strong written and verbal communication skills with the ability to communicate technical information clearly so that it may be understood by both technical and non-technical individuals Experience with creating technical documents and developing software requirements from customer inputs along with experience in DO-178B/ DO-178C certification requirements and software versioning control is desired. Experience with hardware/software integration. Two or more years of experience in handling product development, software design, architectural elements. Demonstrated experience in progressively challenging and responsible roles. We Value Experience providing technical leadership to a cross discipline, cross site team Experience working within Honeywells software development processes for safety critical applications including CNS Products/Systems Advanced level knowledge of product algorithms Working knowledge of software certification processes and strategies including DO-178 B & C Understanding various software development lifecycle Knowledge of software configuration management and change management practices Diverse and global teaming and collaboration Wide degree of creativity and latitude Individuals who are self-motivated and able to work with little supervision, who consistently take the initiative to get things done, do things before being asked by others or forced to by events. Analytical skills & software development skills Ability to break a complex problem into manageable parts and organize an approach and a solution in a systematic way. Ability to move into new teams and quickly learn project defined specific process while applying past knowledge and experience; adapt well to a changing environment, anticipate problems, recognize and eliminate barriers. You Must Have BE/B.Tech or M.E/M.Tech with 12+ Yrs of experience in AEROSPACE industry or (similar safety critical industry) in building and certifying products. Experience in leading technical design and architecture for product development. Lead & drive technical proposals. Strong written and verbal communication skills with the ability to communicate technical information clearly so that it may be understood by both technical and non-technical individuals Experience with creating technical documents and developing software requirements from customer inputs along with experience in DO-178B/ DO-178C certification requirements and software versioning control is desired. Experience with hardware/software integration. Two or more years of experience in handling product development, software design, architectural elements. Demonstrated experience in progressively challenging and responsible roles. We Value Experience providing technical leadership to a cross discipline, cross site team Experience working within Honeywells software development processes for safety critical applications including CNS Products/Systems Advanced level knowledge of product algorithms Working knowledge of software certification processes and strategies including DO-178 B & C Understanding various software development lifecycle Knowledge of software configuration management and change management practices Diverse and global teaming and collaboration Wide degree of creativity and latitude Individuals who are self-motivated and able to work with little supervision, who consistently take the initiative to get things done, do things before being asked by others or forced to by events. Analytical skills & software development skills Ability to break a complex problem into manageable parts and organize an approach and a solution in a systematic way. Ability to move into new teams and quickly learn project defined specific process while applying past knowledge and experience; adapt well to a changing environment, anticipate problems, recognize and eliminate barriers. Few of additional responsibilities: - NPI - Evaluate and suggest suitable technologies for product development, Work as interface between HTS and Honeywell chief engineers/Fellows and influence technical decisions. Principal author or co-author of multiple project proposals which were selected for funding. Lead Product Technical Council - Accountable and owner of technical decision during product development. Drive decisions during PDR, CDR and other Compliance Reviews. Strategic Responsibilities - Lead the technical contributions in the domain and provide inputs to STRAP, GSF and PAC. Drive / Collaborate on regional initiatives and pursuits. Create Competitive Intelligence information, identify the gaps and work towards creating new products / features to make Honeywell offerings competitive. Manage common processes and best practices - Exercise judgment in selecting methods, techniques and evaluation criteria within a related function/field. Generate, evaluate, select and implement solutions which are equal to the industry s state of the art. Few of additional responsibilities: - NPI - Evaluate and suggest suitable technologies for product development, Work as interface between HTS and Honeywell chief engineers/Fellows and influence technical decisions. Principal author or co-author of multiple project proposals which were selected for funding. Lead Product Technical Council - Accountable and owner of technical decision during product development. Drive decisions during PDR, CDR and other Compliance Reviews. Strategic Responsibilities - Lead the technical contributions in the domain and provide inputs to STRAP, GSF and PAC. Drive / Collaborate on regional initiatives and pursuits. Create Competitive Intelligence information, identify the gaps and work towards creating new products / features to make Honeywell offerings competitive. Manage common processes and best practices - Exercise judgment in selecting methods, techniques and evaluation criteria within a related function/field. Generate, evaluate, select and implement solutions which are equal to the industry s state of the art.

Wissen Technology is Hirin g for SDET About Wissen Technology: At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindsetensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia . Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edge technology expertise , and a relentless focus on quality. We dont just meet expectationswe exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives . We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent . Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impactthe first time, every time. Job Summary : We are looking for a skilled and detail-oriented QA Engineer with 4.5 to 6 years of experience in both manual and automation testing . The ideal candidate will have strong proficiency in Java programming , experience with BDD frameworks (Cucumber) , Selenium automation , and API testing using Postman and Rest Assured . Youll work closely with developers, product managers, and DevOps teams to ensure our applications are thoroughly tested, highly reliable , and released with zero defect leakage. Experience : 4.5 to 6 Years Location: \u200bBangalore Mode of Work : Full Time Key Responsibilities : Design, develop, and maintain automation test scripts for new and existing features using Java , Selenium , and BDD (Cucumber) . Perform manual testing for UI and API layers to validate functionality, usability, and performance. Conduct API testing using tools like Postman and Rest Assured for both functional and automated test scenarios. Modify and enhance existing test automation frameworks to meet evolving project needs. Monitor and analyze automation test execution results, ensuring no flaky or inconsistent test failures . Ensure cross-browser and cross-platform compatibility and coverage during test planning and execution. Identify and address gaps in QA processes ; recommend and implement improvements. Support non-functional testing efforts such as performance , security , and internationalization (i18n) testing. Collaborate closely with the Development team to ensure high unit and integration test coverage. Contribute to the CI/CD pipeline for seamless and efficient test execution and code deployment. Maintain test documentation , bug reports, and status updates with clarity and accuracy. Requirements: 4.5 to 6 years of experience in software testing with a strong focus on both manual and automation testing. Strong proficiency in Java programming and problem-solving using Java. Experience in automation testing tools , especially Selenium WebDriver . Working knowledge of BDD frameworks , particularly Cucumber . Experience with API testing both manual (Postman) and automation (Rest Assured). Strong understanding of software testing life cycle (STLC) and defect life cycle . Exposure to cross-browser and ","

Company Description Nirmitee.io is a pioneering tech company based in Pune, revolutionizing the Healthtech and Fintech industries with smarter and faster solutions. Specializing in product engineering and software development, we empower businesses to scale their vision through cutting-edge technology and innovative solutions. Our focus on resilience, innovation, and digital transformation ensures impactful and lasting results for our partners. Role Description This is a full-time on-site role for a Business Development Executive at Nirmitee.io in Pune. The Business Development Executive will be responsible for new business development, lead generation, business communication, and account management on a day-to-day basis. Required: Experience: 2-4 years IT sales experience for IT products and services Handling overseas clients is required. Experience in using Upwork and LinkedIn is a must. Responsibilities: Market Research: Conduct market research to identify potential clients and industries for business development opportunities. Lead Generation: Generate leads through various channels such as cold calling, email campaigns, Upwork, Linkedin, and networking events. Client Engagement: Build and maintain relationships with prospective clients through effective communication and follow-up to understand their needs and requirements. Proposal Preparation: Assist in preparing proposals, presentations, and pitches for potential clients, highlighting the companys products or services. Sales Support: Provide support to the sales team in identifying opportunities, preparing sales collateral, and coordinating meetings with clients. Pipeline Management: Manage and maintain a pipeline of leads and opportunities, tracking progress and updating CRM systems accordingly. Continuous Learning: Stay updated on industry trends, market developments, and competitor activities to identify new business opportunities and improve sales strategies. Qualifications: Bachelors degree in Business Administration, Marketing, or a related field. Strong communication and interpersonal skills. Excellent organizational and time management abilities. Ability to work independently and as part of a team. Proactive attitude with a drive to achieve targets and goals.

Cognine was formed by passionate people with engineering backgrounds, intending to provide core software engineering services to clients worldwide. Cognine is an AI-driven technology solutions provider, empowering businesses with AI, Automation, Product Engineering, and Data Intelligence. We help organizations modernize IT ecosystems, build AI-powered applications, streamline operations, and drive innovation with Generative AI and advanced analytics. We have grown from a small team in Chicago & Hyderabad to a global tech organization with 200+ engineers. The culture at Cognine embeds key values of engineering mindset, quality, and transparency into every employee. We have invested in organic growth, building on the sustainable technology strategy, design, data, and engineering capabilities required to bring in a truly integrated approach to solve our client s toughest challenges. Our collaborative, cross-functional teams deliver tangible results, fast. What you ll do: Create frameworks to predict a variety of outcomes in different scenarios Create models of customer satisfaction that provide detailed insight into what causes a customer to take different actions Collaborate with other data scientists and stakeholders on projects Develop solutions in R or Python Develop production-grade solutions Work in Hadoop, Redshift, and Spark Translate business and product questions into analytics projects Communicate clearly over written and oral channels while translating complex methodologies and analytical results into high-level insights Qualifications 5-10 years of experience in a data science and/or machine learning role with deep expertise in Python. Strong experience with Azure, Azure ML, and Terraform. Experience building and managing robust CI/CD pipelines for machine learning workflows, including model training, evaluation, and deployment. Excellent verbal and written English communication skills. Preferred qualifications Experience with PyTorch. Experience developing and deploying image models.

3 - 5 Years (excluding internships & freelancing) Salary: upto 4.2 Lpa Location: Ahmedabad Priority: Immediate joiners preferred What We Offer: 5-day work week & flexible work hours Growth-focused journey with regular rewards and recognition Focus on learning & development Competitive, goal-driven culture Job Summary: We are looking for a detail-oriented and proactive QA Manual Tester to join our growing team in Ahmedabad. This role is ideal for someone with up to 5 years of experience in manual testing who is passionate about delivering high-quality software. You ll play a key role in ensuring our web and mobile applications function seamlessly. Key Responsibilities: Understand project requirements and prepare detailed, structured test plans and test cases Execute manual tests across web and mobile platforms to ensure functionality, usability, and performance Create and maintain test documentation including test cases, test scenarios, and test summary reports Identify, document, and track bugs using tools like Jira / ClickUp / Asana (or similar) Work closely with developers, product managers, and other QA team members to ensure timely resolution of issues Conduct regression testing following bug fixes or updates Provide constructive feedback to enhance product quality and user experience Requirements: Bachelors degree in Computer Science, IT, or a related field 3 5 years of experience in manual testing Basic knowledge of SDLC and STLC Proficiency in writing and executing test cases, test scenarios, and checklists Basic understanding of different testing types such as functional, regression, and UI testing Exposure to bug tracking tools like Jira / Asana / ClickUp or similar is advantageous Strong attention to detail and problem-solving skills Good communication and documentation abilities Good to have Exposure to automation testing tools and frameworks (e.g., Selenium, TestNG, Postman, etc.) is an added advantage Techify is the Fastest Growing Tech Company with a talented, passionate and learning team. Techifys DNA Is About Solutions & Technologies. We are here to help our customers grow their business. Our Vision is to Become One of the Best Product Engineering companies in India We put client relationships first hence our mission is to build software solutions that help clients transform their business by unleashing hidden potential with technology. So our success mantra is Customer first, Team second and We are the third. Our main focus is our Customers and Partners success. Our visionary and experienced team turns innovative ideas into efficient products & softwares. Our well-defined processes ensure on-time delivery to our partners giving us an edge over our competitors. The most important pillar in achieving our goals is our dedicated Team and to encourage them and keep them motivated, we have set up a culture that rewards Self Development and Innovation. Our cutting-edge services include intensive research and analysis to identify the appropriate technology to achieve best performances by incurring least cost possible. We take a studied approach towards cost, performance, feature trade-offs to help companies surmount the challenges of delivering high-quality, timely products and services to the marketplace. We have the ability to take up any product be it at the stage of defining, designing, verifying or realizing. Here are our recognitions. We are the winner of Grand Challenge in Vibrant Gujarat Summit 2018. We have also achieved prestigious Trend Setter award from Gujarat Innovation Society. Times Coffee Table Book Covered us in Gujarat the Inspiring edge edition. We are also Amazon web services consulting and networking partners.

About Saviynt: Saviynt is a leader in intelligent identity and access governance solutions. Our cloud-native platform provides a unified approach to securing applications, data, and infrastructure across hybrid IT environments. We empower our customers to scale fearlessly and securely, a principle that extends to our own team. Role Overview: We are seeking an experienced and technically astute Supportability Manager Product Support Engineering. This critical role serves as the primary interface between our customer-facing Product Support teams and our Engineering/Product teams. The position demands a blend of deep technical analysis, strong cross-functional collaboration, and customer empathy. You will lead a team of supportability engineers with extensive domain knowledge, who are responsible for root cause analysis, reproducing complex issues, and providing crucial insights to Engineering and Product teams for sustainable fixes and product enhancements WHAT YOU WILL BE DOING Lead the supportability function, managing escalated technical issues that require in-depth analysis and reporting. Bridge the gap between Technical Product Support (L1 L3) and Engineering/Product, ensuring a timely, accurate, and complete information flow Take ownership of Root Cause Analysis (RCA) and post-mortem reports for complex customer issues and escalations. Collaborate with Engineering to influence bug prioritization, technical debt resolution, and product enhancements based on customer pain points. Maintain a robust feedback loop with Product Management, highlighting recurring issues and advocating for roadmap adjustments. Ensure a consistent process for the reproduction, debugging, and documentation of critical issues, facilitating knowledge transfer to both Support and Engineering teams. Recruit , mentor, and manage a high-performing supportability team with strong technical acumen across Saviynts modules (IGA, PAM, CPAM, Application Access Governance, etc.) Define and monitor key metrics for case handling, resolution time, and inter-team hand-offs. Contribute to automation and tooling initiatives aimed at improving productivity and reducing Mean Time To Resolution (MTTR). Serve as the escalation point for high-severity or sensitive cases, working directly with Customer Support Leadership and Engineering stakeholders. WHAT YOU BRING 10+ years of experience in Technical Support, Product Engineering, or similar customer-facing technical roles, with a preference for experience in SaaS, Identity Governance, or Cybersecurity domains . Strong understanding of Saviynt architecture or comparable IGA/PAM platforms.Proven experience managing or leading technical teams focused on supportability or sustaining engineering. Exposure to enterprise customer environments (cloud, hybrid, on-prem) and the ability to navigate complex architectures. Understanding of debugging, log analysis, performance troubleshooting, and root cause identification. Excellent communication skills for engaging with internal stakeholders, including Engineering, Product Managers, Support teams, and Customers. Demonstrated ability to effectively manage priorities across multiple high-impact issues under pressure. Experience with tools such as JIRA, Confluence, Splunk, Datadog, and Postman is a plus. Bachelor s degree in Computer Science, Engineering, or a related technical field. A Master s degree is preferred Work Model This is a Hybrid role, requiring a minimum of 3 days per week in the office (Bangalore office). Flexibility for occasional extended hours during critical customer escalations or product releases Why Join Us Regards, Primula

Number of Openings 1 ECMS ID in sourcing stage 534210 Assignment Duration 6 months to 9 months Total Yrs. of Experience 8yrs Relevant Yrs. of experience 3 Years Detailed JD (Roles and Responsibilities) Candidate should have good experience of Avaloq platform. Practical hands on skills across a range of development technologies and languages. Expert background in software engineering, architecture, operations and product engineering. Outstanding relationship & stakeholder management skills Highly articulate and effective communicator both in technical and business language; excellent verbal and written communication skills Creating assessment approaches to identify emerging technologies and companies of relevance Measuring the value of different approaches to technical problems Candidate should have Capital Market Domain Knowledge Mandatory skills BA (Avaloq) Desired/ Secondary skills BA, Capital Market Domain Capital Markets domain Max Vendor Rate in Per Day (Currency in relevance to work location) INR 14000/day Work Location given in ECMS ID Pune WFO/WFH/Hybrid WFO WFO BG Check (Before OR After onboarding) Pre-Onboarding Is there any working in shifts from standard Daylight (to avoid confusions post onboarding) YES/ NO Yes

Develop and implement a comprehensive product innovation roadmap that supports the overall business strategy and responds proactively to market dynamics. Prioritise product development initiatives based on their strategic significance, technical viability, and resource allocation. Strong knowledge of product lifecycle management, design thinking, and regulatory compliance. Excellent leadership, communication, and stakeholder management skills. Exposure to global product development and multicultural team leadership. Experience with new product development, smart technologies.

Let s do this. Let s change the world. The Product Analyst position offers a unique opportunity to join a fun, innovative engineering team within the Enterprise Data Strategy and Engineering (EDSE) organization. You ll work on building next-generation capabilities and services in Data and AI using innovative open-source software, frameworks, tools, and cloud computing services. The role also emphasizes demonstrating these capabilities to support critical business operations and initiatives, ensuring alignment with organizational priorities. As a Senior Product Analyst, you will lead and craft the user experience for enterprise data and AI platforms by analyzing customer behaviors across the entire journey. You will work closely with business teams to understand the requirements of the platform or data products and enable engineering team to develop it. You will need to play a key role in the Go-to-Market (GTM) strategy, ensuring seamless product launches, aligning messaging with customer needs. Acting as the Voice of the Customer, you will collaborate internally within Product Management and with Product Engineering, and the GTM teams to drive product adoption and deliver optimal outcomes Customer Insights & Experience: Develop a deep understanding of the translation platform and related api, mapping customer journeys and creating detailed personas to improve user experiences. Engage directly with customers at key touchpoints, gaining insights into their interactions with Enterprise Data and AI platforms. Build and foster an active user community, facilitating knowledge-sharing and enhancing the adoption of data and AI products. Partner with multi-functional teams to refine customer insights and journey mapping, adapting solutions to meet evolving business and operational needs across regions Alignment with business for the product success and opportunities: Work with business stake holder to understand the data needs and find opportunities to enable them on the platform. Go-to-Market (GTM) Strategy: Collaborate with Product Management to implement comprehensive GTM strategies for data and AI products. Align GTM messaging and product positioning with organizational needs, enabling effective adoption and broader applicability of solutions Support the launch of new products and features, working closely with multi-functional teams to ensure GTM plans are well-executed and drive product adoption. Support & Advocacy: Provide Last Mile Support and Solutions on Demand for both data, ensuring prompt resolution of customer challenges and delivering a seamless user experience. Assist in customer onboarding and training, ensuring users fully understand how to demonstrate the platform s data capabilities. Identify and develop brand ambassadors within the customer base to advocate for the product s unique benefits. Provide targeted support for unique business requirements, enabling seamless integration of data capabilities into broader operational frameworks Product Performance & Data Analysis: Monitor and analyze product performance metrics using advanced analytics to gain insights into customer behavior and product usage. Work closely with engineering, product management, and other teams to ensure the successful execution of product goals, focusing on data, analytics, and AI-driven innovations. Use data and analytics to drive improvements and recommend strategies for optimizing product features and the overall customer experience. The insights and optimizations from product analytics will ensure alignment with overarching business goals and operational priorities, supporting scalable and impactful outcomes. What we expect of you Master s degree and 7 to 10 years of Information Systems experience OR Bachelor s degree and 8 to 10 years of Information Systems experience OR Diploma and 10 to 12 years of Information Systems experience 5-7 years of experience in a product analyst role. Basic Qualifications: 5-7 years of experience in a product analyst role, especially with data and AI products, and a focus on GTM execution. Worked in Data platforms. Experience of working closely with data engineering. Experience in GTM strategy development and execution, with a track record of supporting product launches and ensuring product-market fit. Strong skills in Excel and hands-on experience with Agile methodologies (Scrum/SAFe). Excellent communication and social skills, with the ability to work collaboratively with cross-functional GTM, product, and engineering teams. Preferred Qualifications: Have worked on translation workflows, and apis. Familiarity with big data technologies, AI platforms, and cloud-based data solutions. Knows SQL. Ability to work effectively across matrixed organizations and lead collaboration between data and AI teams. Passion for technology and customer success, particularly in driving innovative AI and data solutions. Experience in services or consulting related to data and AI products is a plus, and familiarity with biotech/pharma is beneficial. Soft Skills: Excellent analytical and solving skills. Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to handle multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Let s do this. Let s change the world. The Product Analyst position offers a unique opportunity to join a fun, innovative engineering team within the Enterprise Data Strategy and Engineering (EDSE) organization. You ll work on building next-generation capabilities and services in Data and AI using innovative open-source software, frameworks, tools, and cloud computing services. The role also emphasizes demonstrating these capabilities to support critical business operations and initiatives, ensuring alignment with organizational priorities. As a Senior Product Analyst, you will lead and craft the customer experience for enterprise data and AI platforms by analyzing customer behaviors across the entire journey. You will work closely with business teams to understand the requirements of the platform or data products and enable engineering team to develop it. You will need to play a key role in the Go-to-Market (GTM) strategy, ensuring seamless product launches, aligning messaging with customer needs. Acting as the Voice of the Customer, you will collaborate internally within Product Management and with Product Engineering, and the GTM teams to drive product adoption and deliver optimal outcomes Customer Insights & Experience: Develop a deep understanding of both data and related search, mapping customer journeys and creating detailed personas to improve user experiences. Engage directly with customers at key touchpoints, gaining insights into their interactions with Enterprise Data and AI platforms. Build and foster an active user community, facilitating knowledge-sharing and enhancing the adoption of data and AI products. Partner with multi-functional teams to refine customer insights and journey mapping, adapting solutions to meet evolving business and operational needs across regions Alignment with business for the product success and opportunities: Work with business stake holder to understand the data needs and find opportunities to enable them on the platform. Go-to-Market (GTM) Strategy: Collaborate with Product Management to implement comprehensive GTM strategies for data and AI products. Align GTM messaging and product positioning with organizational needs, enabling effective adoption and broader applicability of solutions Support the launch of new products and features, working closely with multi-functional teams to ensure GTM plans are well-executed and drive product adoption. Support & Advocacy: Provide Last Mile Support and Solutions on Demand for both data, ensuring prompt resolution of customer challenges and delivering a seamless user experience. Assist in customer onboarding and training, ensuring users fully understand how to demonstrate the platform s data capabilities. Identify and develop brand ambassadors within the customer base to advocate for the product s unique benefits. Provide targeted support for unique business requirements, enabling seamless integration of data capabilities into broader operational frameworks Product Performance & Data Analysis: Monitor and analyze product performance metrics using advanced analytics to gain insights into customer behavior and product usage. Work closely with engineering, product management, and other teams to ensure the successful execution of product goals, focusing on data, analytics, and AI-driven innovations. Use data and analytics to drive improvements and recommend strategies for optimizing product features and the overall customer experience. The insights and optimizations from product analytics will ensure alignment with overarching business goals and operational priorities, supporting scalable and impactful outcomes. What we expect of you Master s degree and 7 to 10 years of Information Systems experience OR Bachelor s degree and 8 to 10 years of Information Systems experience OR Diploma and 10 to 12 years of Information Systems experience 5-7 years of experience in a product analyst role. Basic Qualifications: 5-7 years of experience in a product analyst role, especially with data and AI products, and a focus on GTM execution. Worked in Data platforms. Experience of working closely with data engineering. Experience in GTM strategy development and execution, with a track record of supporting product launches and ensuring product-market fit. Strong skills in Excel and hands-on experience with Agile methodologies (Scrum/SAFe). Excellent communication and social skills, with the ability to work collaboratively with cross-functional GTM, product, and engineering teams. Preferred Qualifications: Have worked on search, including sematic search. Familiarity with big data technologies, AI platforms, and cloud-based data solutions. Knows SQL. Ability to work effectively across matrixed organizations and lead collaboration between data and AI teams. Passion for technology and customer success, particularly in driving innovative AI and data solutions. Experience in services or consulting related to data and AI products is a plus, and familiarity with biotech/pharma is beneficial. Soft Skills: Excellent analytical and solving skills. Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to handle multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Engineering Manager - Live What are we looking for? We are hiring an Engineering Manager to lead the Live team a mission-critical, cross-functional team responsible for one of our top revenue-generating products. This team powers real-time livestreaming, chatrooms and gamification for millions of users and creators. This role is ideal for a technically strong leader who can scale systems, mentor engineers, and collaborate across functions to drive measurable user and business outcomes. What Youll Own? You will lead engineering for systems that power: Live Video Streaming Low-latency, high-scale video with real-time user engagement Audio Chatrooms Concurrent voice sessions with moderation and dynamic participation Real-Time Multiplayer Games Embedded social games in live experiences Native Gamification Engines Incentives like badges, streaks, and gifting leaderboards Live Notifications & Recording High-reliability pipelines and persistent content capture What Youll Do? Lead and mentor a team of 10 engineers; define growth paths, give feedback, and encourage technical ownership Hands-on coding and design reviews lead by example and contribute to critical paths Drive execution of high-quality software via rigorous SDLC practices and strong release hygiene Partner with Product, Design, and Business to ship impactful features that drive retention and monetisation Partner with senior architects to align on long-term platform vision and technical strategy Lead incident management by driving thorough root cause analysis, coordinating cross-team responses, and implementing preventive measures to enhance system reliability and minimise downtime. Drive resilient, high-availability architecture for real-time systems at massive scale Promote a culture of reliability, ownership, and continuous improvement What Were Looking For? Proven experience in designing and developing large-scale, high-performance systems. Strong collaboration skills with a track record of working effectively with cross-functional stakeholders, including product, operations, and business teams. Deep understanding of modern technologies, architectures, and industry best practices, with a keen interest in staying up to date with advancements in the field. Bachelor's degree (B.Tech. or equivalent) in Computer Science, Engineering, or a related discipline. Strong problem-solving abilities and a results-oriented mindset, with a focus on delivering scalable and efficient solutions. Experience in leading or mentoring teams in a fast-paced, high-growth environment is a plus. 8-10 years of experience in product engineering. At least 1 year of people experience. Where will you be? You will be expected to be in our Bangalore office 3 days a week as per our policy.

Location: Vadodara Type: Full-time / Internship Duration (for interns): Minimum 3 months Stipend/CTC: Based on experience and role About Gururo Gururo is an industry leader in practical, career-transforming education. With a mission to empower professionals and students through real-world skills, we specialize in project management, leadership development, and emerging technologies. Join our fast-paced, mission-driven team and work on AI/ML-powered platforms that impact thousands globally. Who Can Apply Interns: Final-year students or recent graduates from Computer Science, Data Science, or related fields, with a strong passion for AI/ML. Freshers: 0 1 years of experience with academic or internship exposure to machine learning projects. Experienced Professionals: 1+ years of hands-on experience in AI/ML roles with a demonstrated portfolio or GitHub contributions. Key Responsibilities Design and develop machine learning models and AI systems for real-world applications Clean, preprocess, and analyze large datasets using Python and relevant libraries Build and deploy ML pipelines using tools like Scikit-learn, TensorFlow, PyTorch Work on NLP, Computer Vision, or Recommendation Systems based on project needs Evaluate models with appropriate metrics and fine-tune for performance Collaborate with product, engineering, and design teams to integrate AI into platforms Maintain documentation, participate in model audits, and ensure ethical AI practices Use version control (Git), cloud deployment (AWS, GCP), and experiment tracking tools (MLflow, Weights & Biases) Must-Have Skills Strong Python programming skills Hands-on experience with one or more ML frameworks (Scikit-learn, TensorFlow, or PyTorch) Good understanding of core ML algorithms (classification, regression, clustering, etc.) Familiarity with data wrangling libraries (Pandas, NumPy) and visualization (Matplotlib, Seaborn) Experience working with Jupyter Notebooks and version control (Git) Basic understanding of model evaluation techniques and metrics Good to Have (Optional) Exposure to deep learning, NLP (transformers, BERT), or computer vision (OpenCV, CNNs) Experience with cloud ML platforms (AWS SageMaker, GCP AI Platform, etc.) Familiarity with Docker, APIs, and ML model deployment workflows Knowledge of MLOps tools and CI/CD for AI systems Kaggle profile, published papers, or open-source contributions What You ll Gain Work on real-world AI/ML problems in the fast-growing EdTech space Learn from senior data scientists and engineers in a mentorship-driven environment Certificate of Internship/Experience & Letter of Recommendation (for interns) Opportunities to lead research-driven AI initiatives at scale Flexible work hours and performance-based growth opportunities End-to-end exposure from data collection to model deployment in production

The mission of the Global Scaled Solutions (GSS) team is to transform Ubers best ideas into agile, global solutions. The team is spread out globally between the US (San Francisco, Sunnyvale, Boulder), India (Hyderabad, Bangalore), HongKong, Singapore, and Amsterdam. The Global Scaled Solutions (GSS) is focused on delivering a range of capabilities/objectives to multiple Tech and business teams while maximizing value for Uber through solutions that are: Automated & Innovative Industry Leading Cross-organizational & Integrated At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world. We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and lets move the world forward together. As a Program Manager with the AI and Data Solutions team, you will be responsible for running human in the loop (HITL) operations for ML/AI projects both internal to Uber and externally as part of Go external strategy. You will gather the requirements from stakeholders to convert it into a SOP (standard operating procedures), help hire the right talent and train the team to meet the quality and efficiency goals for the project. Run multiple pilots and help convert the pilots to scaled processes. What You Will Do ---- Build strong relationships with cross-functional team members and work collaboratively with key stakeholders to deliver on the following: Operational Efficiency Identify gaps and risks to the organization and operational efficiencies. Create programs, processes, and policies to drive improvements. Monitor, evaluate, and continuously improve the organization by being a trusted advisor, facilitator, and creative problem solver. Implement continuous improvements to the organization and the program management process Execution Drive the execution of operational programs, projects, and initiatives. Handle issue escalations and proactively remove obstacles to drive momentum and progress Set and scale new pilot projects, write detailed SOPs for the vendor teams, identify process challenges along with tool improvements Financial and Headcount Management Ensure organizational spending aligns with budget and priorities Communication Lead the communications strategy for your programs. Ensure information flows clearly and efficiently to enable teams Build strong partnerships with Product, Engineering, and Data Science teams and represent GSS in cross-team meetings/reviews Insights Identify data based opportunities to improve process and customer experience What You Will Need ---- Experience managing programs in 2D and 3D LiDAR annotations, object detection, semantic segmentation, polyline, and polygon annotation Ideate and drive programs aimed at driving efficiencies for GSS Facilitate and drive high-impact initiatives to improve process quality and the customer experience Collaborate with key stakeholders for scoping and prioritizing project activities based on the business impact and team OKRs Turn analyzed data into actionable deliverables for the product, support, and operational improvements Work with vendor teams to execute ideas and deliver continuous improvement of programs Interface with tech leads and engineers to estimate efforts, define milestones, track progress, resolve dependencies, evaluate risks and communicate status to project stakeholders Ability to work with engineer/product/ internal teams to deliver tool/tech solutions that will drive long term improvements in operational efficiency Communicate plans, insights, data, and results to project stakeholders Share frameworks, tools, best practices that improve the delivery of projects with focus on reusability and standardization Design experiments and interpret the results to draw detailed and actionable conclusions Present findings to senior management to guide business decisions Track, analyze, and report data patterns and trends associated with the programs you own Preferred Qualifications ---- Worked at a high-paced, fast-growing tech startup, large tech company, or has a consulting background Analytics background. You have collected, structured and analyzed data to drive key insights *Accommodations may be available based on religious and/or medical conditions, or as required by applicable law.

About the Role At Uber, were revolutionizing how the world moves. Our Platform Infrastructure organization is the foundational backbone, powering critical use cases across Product, Engineering, Data Science, and Operations groups spanning Rides, Eats, Delivery, Safety, Maps, and many other areas. The Platform Infrastructure team is at the heart of this, supporting critical foundational, storage, search, and batch infrastructure both on-premise and in the cloud. With daily volumes experiencing exponential growth, our infrastructure platform is paramount to enabling Ubers global business. To power these diverse and critical use cases at an unparalleled scale, Ubers platform is engineered to be one of the most sophisticated in the world. We are seeking an exceptional and highly experienced Senior Manager, Technical Program Management (TPM) to provide strategic leadership and hands-on execution for large, complex, cross-team engineering initiatives within our Platform Infrastructure Engineering teams. What You Will Do In this pivotal role, you will drive structure, foster seamless cross-team collaboration, and enable the modernization of critical infrastructure platforms. Your leadership will directly enhance efficiency, improve reliability, and accelerate new product development efforts across Uber. Youll be expected to navigate fluidly between high-level strategic vision and detailed execution, contributing at an individual level where needed, and significantly elevating the TPM skillset across a diverse range of levels and domains within the organization. As a Senior Manager, TPM, you will be instrumental in: Strategic Program Leadership: Lead the end-to-end management of highly complex, multi-functional technical programs from concept to delivery. Partner closely with engineering leadership and product teams to define ambitious goals, estimate work efforts, establish clear milestones, and manage resource allocation effectively. Contribute significantly to the multi-functional strategic planning and business planning process, leading discussions to develop concepts for strategic initiatives and translating them into detailed program/project plans. Execution & Delivery Excellence: Oversee all aspects of project progress, proactively identifying and resolving dependencies, evaluating technical risks, and communicating status with precision to upper management and project teams. Proactively identify and remove obstacles, ensuring momentum, progress, and impactful results. Collaboration & Communication: Act as a critical bridge and connector across the company, clarifying priorities and fostering highly effective collaboration among diverse engineering teams. Identify communication gaps, manage issues, address team concerns, and provide robust support to teams balancing competing priorities. Team Development & Mentorship: Coach and mentor a team of TPMs, guiding them to achieve and exceed expectations, develop broad domain and technical knowledge, and foster a culture of continuous improvement. Actively contribute to raising the overall TPM skill set and maturity across various levels and domains within the engineering organization. Process Improvement & Best Practices: Drive continuous improvements to the engineering organizations processes and the overall program management framework. Share program/project process frameworks, tools, and standard methodologies that can be adopted and scaled throughout the organization. Basic Qualifications Experience: 10+ years of progressive experience in technical program management and/or software development leadership. Leadership: Proven track record of successfully building, leading, and/or managing a team of highly technical TPMs. Technical Acumen: Demonstrated technical proficiency with a strong ability to understand complex technical architectures, identify challenges and risks, and propose viable alternatives. Domain Expertise: Strong experience in one or more large-scale distributed systems and/or Core Infrastructure systems, such as: Online storage and database systems (SQL and No-SQL) Search systems Data Lake ecosystems (e.g., large-scale Data Analytics using object storage, YARN/Kubernetes, Spark, Presto, etc.) Foundational control planes like Kubernetes Core Infrastructure systems such as software networking Education: Bachelors degree in Computer Science, Engineering, or a related technical field. Preferred Qualifications Hands-on Development: Prior experience as a software developer, including writing, testing, and deploying code. This experience will provide a deeper understanding of the engineering lifecycle and challenges. Advanced Degree: Masters degree or Ph.D. in a technical field. Why Join Us This is an unparalleled opportunity to lead high-impact, company-wide initiatives and continuously improve processes that directly increase the efficiency and effectiveness of Ubers product and engineering organizations. You will be at the forefront of scaling one of the worlds most complex and critical infrastructure platforms. *Accommodations may be available based on religious and/or medical conditions, or as required by applicable law.

Position Summary: We re seeking a Data Scientist to support the development and deployment of machine learning models and analytics solutions that improve decision-making across the mortgage lifecycle from acquisition to servicing. In this hands-on role, you ll contribute to building predictive models, customer segmentation tools, and automation workflows that enhance operational efficiency and customer outcomes. You ll work closely with senior data scientists and cross-functional teams to translate business needs into well-scoped modeling tasks, with opportunities to apply natural language processing (NLP), statistical modeling, and experimentation frameworks in a regulated financial environment. This role reports to a senior leader in Data Science. Job Functions and Responsibilities: Develop and maintain machine learning models and statistical tools for use cases such as risk scoring, churn prediction, segmentation, and document classification. Collaborate with Product, Engineering, and Analytics teams to identify data-driven opportunities and support automation initiatives. Translate business questions into modeling tasks and contribute to the design of experiments and success metrics. Assist in building and maintaining data pipelines and model deployment workflows in partnership with data engineering. Apply techniques such as supervised learning, clustering, and basic NLP to structured and semi-structured mortgage data. Support model monitoring, performance tracking, and documentation to ensure compliance and audit readiness. Contribute to internal best practices and participate in peer reviews and knowledge-sharing sessions. Stay current with developments in machine learning and analytics relevant to mortgage and financial services. Qualifications: Minimum education required: Masters or PhD in engineering / math / statistics / economics , or a related field Minimum years of experience required: 2 (or 1, post-PhD), ideally in mortgage, fintech, or financial services Required certifications: None Specific skill or ability needed Minimum software or applications experience required/preferred Minimum experience required using mobile technology: None Any other requirements an ideal applicant needs to have that is not covered by above: None Experience working with structured and semi-structured data; exposure to NLP or document classification is a plus. Understanding of model development lifecycle, including training, validation, and deployment. Familiarity with data privacy and compliance considerations (e.g., ECOA, CCPA, GDPR) is preferred. Strong communication skills and ability to present findings to technical and non-technical audiences. Proficiency in Python (e.g., scikit-learn, pandas), SQL, and familiarity with ML frameworks like TensorFlow or PyTorch.

The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Overview: We are looking for a highly motivated and analytical Data Scientist to join our growing data team. You will play a key role in extracting insights from large datasets, building predictive models, and supporting data-driven decision-making across departments. Location: Bangalore Experience : 3+ Key Responsibilities: Collect, process, and analyze large datasets from multiple sources. Build and deploy machine learning models to solve business problems. Design and implement A/B tests and statistical analyses. Collaborate with cross-functional teams (product, engineering, marketing) to define analytics requirements. Communicate complex data insights in a clear and actionable manner to stakeholders. Develop dashboards and visualizations to monitor key metrics. Stay current with the latest trends and technologies in data science and AI. Required Skills & Qualifications: Bachelor s/Master s degree in Computer Science, Mathematics, Statistics, or related field Proven experience (2+ years) as a Data Scientist or Data Analyst Strong knowledge of Python/R and SQL Hands-on experience with machine learning frameworks (e.g., scikit learn, tensroflow, pytorch) Experience with big data tools (e.g., Spark, Hadoop) is a plus Familiarity with data visualization tools Strong analytical, problem-solving, and communication skills Preferred: Experience with cloud platforms preferably AWS (S3, Sagemaker, Airflow etc) Strong SQL skills, with experience in Snowflake, MySQL, and PostgreSQL. Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker). When you join Metropolis, you ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.