92 Data Acquisition Jobs

URGENT HIRING !!! For more information call or whatsapp 9650733400 location's : Canada , Australia , New Zealand , UK, Germany , Singapore ( Not In India ) Benefits : Medical Insurances , Travel allowances , Flight Tickets , Meals , etc Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions. Design and build technical processes to address business issues. Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics. Recruit, train, develop and supervise analyst-level employees. Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes. Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables. Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams. Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc. Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements. Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs. Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders. Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.

Job Description: As an Instrumentation Designer, you will be responsible for handling various tasks related to control systems design, instrument calibration, data acquisition, and instrument datasheets. Your role will involve activities such as print review, cable schedule, cable drum schedule, bulk MTO, wiring diagrams, interconnection schedule, cable block diagram, IO database management, and installation details. It is important to note that 3D modeling or 2D drafting skills are not required for this position. The ideal candidate should have a minimum of 3 to 10 years of experience in the Oil and Gas or Chemical Industry. A qualification of BE/Diploma in Instrument Engineering is required for this role. The duration of the project is expected to be six months to one year with a possibility of extension based on project requirements. Key Responsibilities: - Prepare, maintain, and update instrument datasheets in the specified formats. - Review and provide feedback on post-order vendor documents to ensure compliance with project specifications. - Participate in meetings with vendors to address comments and obtain document approval. - Perform instrument installation engineering activities including junction box grouping, cable scheduling, and bulk MTO. - Update the instrument database with information from various engineering documents such as P&ID, GAD, wiring diagrams, and cause & effect diagrams. This position is based in Vadodara, Mumbai, Bangalore, or Chennai with a preference for early joiners. If you meet the qualifications and are interested in this opportunity, please send your updated resume to petroengineeringconsultant@gmail.com. In the email subject, kindly mention "Instrument Engineer for Vadodara/Mumbai/Bangalore/Chennai" followed by your preferred location.,

You will join Parsan Overseas Pvt. Ltd., a company specializing in Near Surface Geophysics with a reputation for its highly skilled professionals, cutting-edge equipment, and a dedicated approach to business. You will play a vital role in conducting Geophysical Surveys, processing geophysical data, acquiring data, and analyzing geophysical information as a Geophysicist based in New Delhi. As a Geophysicist at Parsan Overseas, you will need a Master's degree in Geophysics and possess strong geophysical skills. While having 1-2 years of experience in Near Surface Geophysics is preferred, freshers who are eager to commit to a minimum of 3 years with the company are also encouraged to apply. Join us in our mission to provide high-quality Geo-mapping and Geophysical Services, and make a significant impact in the field of geophysics.,

Key Responsibilities Identify and generate new business enquiries for digitalisation solutions including: Machine connectivity (IIoT solutions) IT-OT integration Digital dashboards and visualization tools Predictive and prescriptive analytics Develop and nurture relationships with industrial clients in and around Pune. Collaborate closely with the technical and product teams to design and present customized solutions to clients. Understand client pain points and map them to Schaeffler's digital offerings. Prepare and deliver compelling sales presentations, proposals, and demos. Maintain a healthy pipeline and track progress in the CRM system. Achieve quarterly and annual sales targets as defined by the management. Stay updated on industry trends, competitor activities, and emerging technologies in digital manufacturing. Participate in relevant trade shows, industry forums, and networking events to promote Schaeffler Digital Solutions. Required Qualifications & Skills Bachelors degree in Engineering (preferably in Mechanical, Electrical, or Computer Science); MBA is a plus. 5–8 years of experience in B2B sales, preferably in industrial automation, IIoT, or digitalisation domains. Proven experience in generating business from manufacturing/industrial clients. Strong understanding of machine connectivity, IT-OT architecture, and industrial data analytics. Excellent communication, negotiation, and interpersonal skills. Self-motivated, target-oriented, and able to work independently. Willingness to travel within the Pune region and occasionally across India.

InfinityX Innovations Pvt Ltd is revolutionizing electric mobility with breakthrough technology, enabling EVs to recharge faster than filling a petrol tank. As a dynamic team of engineers, innovators, and problem-solvers, we are dedicated to making electric vehicles practical, accessible, and future-ready. With patented solutions and a rapidly expanding presence in India's EV startup landscape, InfinityX offers you the chance to build the future of electric mobility. As a part of our team, you will lead the conceptualization, design, and deployment of advanced electronic and embedded systems for transformative ultra-fast charging and intelligent EV platforms. Your responsibilities will include architecting and developing complex electronic systems involving multiple subcomponents, leading full hardware lifecycle activities, solving multidisciplinary challenges, integrating and optimizing sensor networks, developing robust embedded firmware, collaborating with cross-functional teams, staying updated on emerging electronics technologies, and fostering an environment of experimentation and innovation. To excel in this role, you should have demonstrated hands-on leadership in end-to-end development, proficiency in embedded C/C++, circuit simulation, PCB design, rapid prototyping, experience in integrating sensors and networked embedded systems, a strong foundation in EMC/EMI practices, a drive for creative problem-solving, and a passion for pioneering sustainable transport and smart infrastructure. If you are eager to shape the electronics at the heart of the electric mobility revolution, innovate with InfinityX and apply today to build the next generation of ultra-fast EV technology!,

At PwC, the focus of individuals in data management is on organizing and maintaining data to ensure accuracy and accessibility for effective decision-making. This includes handling data governance, quality control, and data integration to support business operations. As part of the data quality and operations team at PwC, you will specifically concentrate on ensuring the accuracy, completeness, and accessibility of data for effective decision-making and business operations. Your responsibilities will involve implementing data quality control measures, performing data cleansing and validation, and monitoring data integrity. Additionally, you will be tasked with managing data operations, including data acquisition, transformation, and loading processes, to facilitate the smooth functioning of data management systems and processes. Your role extends beyond technical tasks, as you are expected to build meaningful client connections and learn how to manage and inspire others. You will navigate complex situations, enhance your personal brand, deepen technical expertise, and become more aware of your strengths. Anticipating the needs of your teams and clients, and delivering quality work are crucial aspects of your responsibilities. Embracing ambiguity, you are comfortable in uncertain situations, ask pertinent questions, and view such moments as opportunities for personal growth. In terms of required skills, you need to effectively respond to diverse perspectives, utilize various tools and methodologies to generate innovative solutions, employ critical thinking to tackle complex concepts, understand project objectives and overall strategy alignment, develop a deeper business context understanding, use reflection for self-awareness and skill enhancement, interpret data for insights and recommendations, and adhere to professional and technical standards such as PwC guidelines and codes of conduct. Job Overview: The GL Support Services Analyst will be responsible for working on an end-to-end digital asset management solution, encompassing the creation, curation, publication, and maintenance of digital assets. This role involves supporting the Governance & Curation (G&C) process across multiple territories, ensuring smooth delivery and coordination with stakeholders. The analyst will conduct technical and curation reviews, perform user acceptance testing (UAT), and contribute to the development and upkeep of the digital asset library and repository. Main Purpose of the Job: - Work on an end-to-end digital asset management solution, including creating, curating, publishing, and maintaining digital assets. - Support the Governance & Curation (G&C) process across multiple territories. - Coordinate with stakeholders to ensure seamless delivery of digital assets. - Conduct technical and curation reviews of asset submissions. - Perform user acceptance testing (UAT) of the digital asset management platform. - Contribute to the development and maintenance of the digital asset library and repository. - Collaborate with the team to identify automation trends, propose enhancements, and prioritize future directions. - Monitor usage and impact of the digital asset management solution through reports and dashboards. - Support bite-size learning initiatives by creating content and tickets. Key Background Information: - Proficiency in MS Office (Word, Advanced Excel, PowerPoint), and Outlook. - Excellent communication skills for stakeholder coordination and findings presentation. - Ability to work in a fast-paced environment and manage multiple tasks simultaneously. Requirements: - 1-2 years of relevant experience in asset management, testing, or a related field. - Bachelor's degree with proficiency in technical skills. - Technical capability in utilizing tools such as Alteryx, Power BI, MS Office for digital asset management tasks. - Strong interpersonal and communication skills for effective collaboration. - Detail-oriented with excellent organizational and time management skills. - Strong problem-solving abilities and adaptability to changing priorities and deadlines. Desirable Requirements: - Familiarity with data analysis and reporting tools. - Knowledge of industry best practices and emerging trends in digital asset management.,

We are looking for a highly motivated and experienced data scientist to lead our team of Gen-Ai Engineers. As a data scientist, you will oversee all processes from data extraction, cleaning, and pre-processing to training models and deploying them to production. The ideal candidate will have a strong passion for artificial intelligence and will stay updated with the latest advancements in this field. Your responsibilities will include utilizing frameworks like Langchain to develop scalable AI solutions, integrating vector databases such as Azure Cognitive Search, Weavite, or Pinecone to support AI model functionalities, and collaborating with cross-functional teams to define problem statements and prototype solutions using generative AI. It will also involve ensuring the robustness, scalability, and reliability of AI systems by implementing best practices in machine learning and software development. You will be required to explore and visualize data to gain insights, identify differences in data distribution that could impact model performance in real-world deployment, verify and ensure data quality through data cleaning, supervise the data acquisition process if additional data is needed, find and utilize available datasets for training, define validation strategies, feature engineering, and data augmentation pipelines, train models, tune hyperparameters, analyze model errors, and devise strategies to overcome them. You will also be responsible for deploying models to production. The ideal candidate should have a Bachelors/Masters degree in computer science, data science, mathematics or a related field, along with 3-10 years of experience in building Gen-Ai applications. Preferred skills include proficiency in statistical techniques such as hypothesis testing, regression analysis, clustering, classification, and time series analysis, expertise in deep learning frameworks like TensorFlow, PyTorch, and Keras, specialization in Deep Learning (NLP) and statistical machine learning, strong Python skills, experience in developing production-grade applications, familiarity with Langchain framework and vector databases, understanding and experience with retrieval algorithms, working knowledge of Big data platforms and technologies like Apache Hadoop, Spark, Kafka, or Hive, and familiarity with deploying applications on Ubuntu/Linux systems. Excellent communication, negotiation, and interpersonal skills are also essential for this role.,

The role involves testing electric vehicle components such as batteries and motors as part of a team effort to ensure the durability and safety of the technology. Your responsibilities include developing and implementing tests for electric vehicle powertrain technologies, creating test plans according to certification standards, and collaborating with design engineers to validate and refine models and algorithms. You will also be analyzing test data, investigating the root cause of failures, and assisting in driving product improvement. Additionally, you will work on system and vehicle level certification of different systems and vehicle level certification, as well as perform tests on high voltage battery packs and electric motors. To qualify for this role, you should hold a BS/MS/BTech/MTech degree in Mechanical or Electrical Engineering with 4-8 years of experience in physical testing and analysis of mechanical, thermal, or electrical systems for 4W EVs. It is preferred that you have experience in vehicle level testing, making test plans based on industry standards, and knowledge of certification testing. Proficiency in Python, MATLAB, or other data acquisition and analysis software is required. Experience in Automotive OEMs working on the development and manufacturing of Electric 4W Vehicles is a must, along with experience in developing and executing design validation plans and test methods. Key competencies for this role include being result-oriented, goal-driven, self-motivated, and possessing a problem-solving attitude. In this role, you will be expected to exhibit proficiency in oral and written communication, a high level of integrity, a sense of ownership, and pride in your performance and its impact on the company's success.,

Perform data extraction from NIQ, Circana, Spins, and other retail and CPG sources to gather raw data for further analysis. Clean, organize, and validate data to ensure accuracy and completeness. Utilize Microsoft Excel, VBA, and SQL for data manipulation, analysis, and reporting. Collaborate with cross-functional teams to understand data requirements and deliver actionable insights. Generate and publish excel reports for further uses Apply knowledge of retail and CPG industries to enhance data analysis and reporting. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor's degree in Computer Application, Science, or relevant education. 1-3 years of experience in data acquisition & analysis or a related field. Proficiency in Microsoft Excel, Microsoft Office, VBA, SQL, and experience with NIQ, Circana, and Spins. Preferred technical and professional experience Strong analytical skills and attention to detail. Excellent communication and teamwork abilities. Ability to manage multiple tasks and meet deadlines. Experience in retail and CPG industries is preferred.

As an Engineer - Performance at Hero Motocorp, your primary responsibility will be to support vehicle preparation for testing by assisting in assembly and dismantling tasks. You will play a crucial role in completing tests accurately, ensuring precise data collection, and processing raw data for analysis and reporting. Additionally, you will be responsible for handling and maintaining test instruments and equipment, as well as providing support to the team for 5S and other organizational initiatives. Collaboration with colleagues to achieve team goals and objectives will also be a key part of your role. A typical day in this position will involve conducting performance testing of both Internal Combustion Engine (ICE) and Electric Vehicles (EVs) for performance, drivability, and benchmarking purposes. It will be essential to ensure that all tests are conducted according to standards and comply with legal and regulatory requirements. You will also be required to identify and troubleshoot vehicle-related problems affecting performance and durability during durability tests. To excel in this role, you should hold a B.E./B.Tech degree in Mechanical Engineering or Automobile Engineering, along with relevant experience. You should possess technical skills in performance testing, data acquisition using data loggers, subjective evaluation of vehicles for driveability, performance benchmarking of competitors, and other related tasks. Additionally, having a good understanding of DAQ systems and sensors is crucial for this position. In terms of behavioral skills, you should be safety-conscious, as the role may involve physically demanding tasks such as riding vehicles for extended periods, with potential exposure to accidents and injuries during testing. Technical awareness, good riding skills with a safety mindset, and a solid understanding of lab tools and their uses are also important. It is essential to have the ability to grasp new testing tools and instrumentation and display a continuous learning mindset to stay updated with evolving testing methodologies and instruments. Desired competencies for this role include having experience in the automobile industry, subjective vehicle evaluation skills, a willingness to work in the field and on vehicles independently, and hands-on experience in two-wheeler testing. Working at Hero Motocorp, the world's largest manufacturer of motorcycles and scooters for the past 22 years, will provide you with the opportunity to collaborate with bright innovators dedicated to excellence. You will be part of a brand that is celebrated by millions of Indians and is expanding its global presence with a focus on manufacturing excellence and innovation in mobility solutions. Hero Motocorp, headquartered in New Delhi, is committed to developing modern, technologically advanced, and eco-friendly mobility solutions for its global customer base. With a presence in 47 countries and a vision to shape the future of mobility, Hero MotoCorp offers a dynamic and innovative work environment. Join Hero MotoCorp to be a part of a legacy that drives innovation, sets benchmarks, and fosters a culture of excellence in the global two-wheeler market. Embrace the opportunity to work with a forward-thinking organization that is committed to sustainability, technological advancement, and creating a brighter future for mobility. If you are passionate about pushing boundaries, dreaming big, and pursuing your goals with unwavering determination, Hero Motocorp is the place for you. Join us in shaping the future of mobility and be a part of a global leader that is dedicated to excellence in everything it does.,

The role involves various responsibilities in the field of Production Analysis, Reservoir Engineering Analysis, Technical Assurance and Subsurface Risk Assessment, and Reservoir Surveillance. In Production Analysis, you will be responsible for analyzing well-wise production performance, utilizing simulation software for in-depth studies, conducting nodal analysis studies, identifying potential production issues, and conducting decline analysis and simulation studies to manage production operations effectively. For Reservoir Engineering Analysis, your duties will include reserves estimation and reporting, interpreting well tests, analyzing reservoir performance, preparing EOS Model using specific software, providing support to subsurface studies, collaborating with multidisciplinary teams, dynamic reservoir modeling, and integrated asset modeling. You will also be involved in Technical Assurance and Subsurface Risk Assessment by reviewing technical studies, validating reservoir modeling inputs, identifying data gaps, quantifying subsurface risks, and recommending risk controls and mitigation measures. Reservoir Surveillance tasks will include planning and supporting reservoir data acquisition, monitoring operations at offshore rigs and onshore sites, ensuring compliance with industry standards and regulations, and mentoring reservoir engineers. To be successful in this role, you should have a strong knowledge of Reservoir Engineering principles, operational experience in various testing and analysis techniques, familiarity with reservoir simulation and analysis software, and understanding of health, safety, and environmental regulations. The ideal candidate will hold a Bachelor's or Master's degree in Petroleum Engineering with 12-16 years of experience in reservoir engineering and field development, including specific experience in reservoir simulation and data acquisition. Experience with subsurface activities in producing Deepwater gas/gas condensate fields is preferred. If you are interested in this opportunity, please send your application to enpcareers.hr@ril.com.,

As an Electrical Automation Engineer, you will be responsible for understanding how electrical systems operate, performing proper debugging and service-related work, and designing electric systems. You will also be required to have knowledge of costs and suppliers of electrical components. Your main duties will include analyzing, designing, and implementing automation technology, solutions, and processes. You will review and analyze operational processes, procedures, and problems to enhance efficiencies and quality using automation tools such as Robotic Process Automation, Data Acquisition, and Data Automation. It is essential for you to be well-versed in various platforms including Allen Bradley, Siemens, Fanuc, Mitsubishi, Delta, and Omron. You will be involved in designing PLC software programs and developing HMI screens according to customer specifications. Additionally, you will work on PLC program design and development across different PLC platforms, SCADA/HMI program development, as well as site and customer handling. This is a full-time, permanent position with benefits including paid time off and Provident Fund. The work schedule is during the day shift, and a Diploma is preferred as the education requirement. The work location is in person.,

As a Business Analyst (Data Steward) at infoAnalytica Consulting, you will play a crucial role in managing data as a corporate asset and contributing to the data services business unit that serves global customers. Your responsibilities will include identifying and leveraging new, existing, and legacy data assets to increase efficiency and re-use, overseeing data strategy, data warehousing, and database management, and ensuring data quality and value creation for customers. You will be expected to act as a thought leader in defining data acquisition strategies and roadmaps, collaborating with tech teams to organize data access and knowledge repositories, and working closely with internal and external stakeholders to address data needs. Additionally, you will be responsible for building effective MIS systems for data optimization and mentoring key personnel within the data department to drive growth and efficiency. To excel in this role, you must possess exceptional communication skills to understand and convey customer requirements effectively, have at least 3 years of experience in data-heavy roles or demand generation, and demonstrate a strong technology insight to identify and leverage the right tools for data projects. Self-service data preparation mechanisms understanding and interpersonal skills are also essential qualities for success in this collaborative and strategic position. Overall, as a Business Analyst (Data Steward) at infoAnalytica, you will have the opportunity to contribute to a dynamic and inclusive work environment that values ownership, innovation, transparency, and results-driven mindset. Join us in our mission to deliver exceptional data services and make a meaningful impact in the world of marketing research and demand generation.,

As an Engineering Tech Support at SHIVALIK HILLS DEVELOPMENT Pvt. Ltd., you will be responsible for providing technical support for products related to Electrical measurements of mechanical parameters (Sensors, Data Acquisition, and telemetry) on an all India basis. You will collaborate with the Sales Team for Application solving, demonstrations, and after-sales support including Installation, repair, calibration, and AMCs. Your role will involve creating market penetration strategies and ensuring high customer satisfaction is achieved and maintained. The ideal candidate for this position should be below 35 years of age with 4 to 6 years of experience in technical support of relevant instrumentation products. You should hold a Degree/Diploma in Electrical/Electronics/Instrumentation/Civil with a strong technical background in the field of instrumentation and automation applications. Proficiency in fault finding, strain gauge installation, computer & interfaces, dealing with complex engineering systems and software is essential. You should be able to organize your own time, work independently, possess excellent written and verbal communication skills, and have an outgoing personality to effectively communicate and interact with engineers on the client side. Extensive travel all over India is required for this role. Additionally, you should demonstrate the ability and willingness to learn and develop, be a strong team player, and be open to annual performance incentives. The compensation offered for this position is Industry Standard. The location of the posting is 1 position in Ghaziabad (NCR).,

You will be joining Machinellium Mavericks Projects and Consultants Inc. as a Mechatronics Engineer, where your main responsibility will be the research, design, development, and testing of advanced Intelligent Systems. Your role will involve identifying areas for enhancement in existing designs, creating and executing new designs, and conducting thorough testing. Your innovative mindset will be crucial in developing cutting-edge concepts that showcase forward-thinking and creativity. Your key skills should include experience in the research, design, implementation, and testing of AI systems. Moreover, you should be familiar with control system analysis and design, instrumentation development, sensor integration, data acquisition, and signal analysis. Your proficiency in data-driven product development is essential for this role. Additionally, you should have a deep understanding of application platform technologies such as Visual Studio, Blend, Windows apps, Azure, Windows Phone, iOS, and Android. In this role, you will be expected to create pioneering designs that can be effectively implemented and sustained at the conclusion of the design phase. Your strong analytical abilities, organizational skills, and documentation expertise will be valuable assets in this position. Furthermore, effective communication skills and the ability to perform well under pressure are key qualities that will contribute to your success in this role.,

You have an exciting opportunity to join YASH Technologies as a Business Analysis Professional. With 7-10 years of experience in Data & Analytics projects, you will be responsible for expertise in MDM data mappings, analysis, and configuration. Working closely with subject matter experts, you will understand functional requirements, lead the requirements, and prepare data mapping sheets. Your role will require strong analytical and troubleshooting skills, proficiency in data profiling, and understanding data patterns. In this position, you will need to have a solid grasp of data models, entity relationships, SQL, ETL, and Data warehousing. Experience in Snowflake is a plus. Functional testing, publishing metrics, system testing, and UAT for data validation are key aspects of the role. Domain knowledge in Manufacturing, particularly in BOM subject area, is preferred. Excellent communication skills, both written and verbal, are essential. Your technical expertise should include technical writing, data modeling, data sampling, and experience in Agile Scrum development environments. Creating user stories, product backlogs, attending scrum events, and scheduling calls with business users to understand requirements are also part of the responsibilities. You will provide technical assistance to the development team, work closely with business stakeholders to gather requirements, and build strong relationships. Your role will involve proven analytics skills, including data mining, evaluation, and visualization. Strong SQL or Excel skills are required, with an aptitude for learning other analytics tools. Defining and implementing data acquisition and integration logic, as well as analyzing data to answer key questions for stakeholders, are crucial components of the position. At YASH Technologies, you will have the opportunity to create a fulfilling career in an inclusive team environment. The company offers career-oriented skilling models and continuous learning opportunities. Embracing a Hyperlearning workplace culture, YASH empowers employees through flexible work arrangements, emotional positivity, agile self-determination, transparency, and open collaboration. You will receive all the support needed to achieve business goals, along with stable employment and an ethical corporate culture.,

You have a fantastic opportunity to join YASH Technologies as a Business Analysis Professional. With 7-10 years of experience in Data & Analytics projects, you will be responsible for expertise in MDM data mappings, analysis, and configuration. Your role will involve collaborating with Subject Matter Experts to understand functional requirements and lead the preparation of data mapping sheets. Your strong analytical and troubleshooting skills will be crucial as you delve into data profiling, understanding data patterns, and comprehending data models and entity relationships. Proficiency in SQL, ETL, and Data warehousing is essential, and experience in Snowflake would be advantageous. Additionally, you will be involved in functional testing, system testing, and UAT for data validation. Having domain knowledge in the Manufacturing area, particularly in the BOM subject area, would be beneficial. Excellent communication and interpersonal skills are necessary as you engage in technical writing, data modeling, and data sampling. Experience in Agile Scrum development environments, creating User stories, product backlogs, and attending scrum events will be part of your responsibilities. You will play a key role in scheduling calls with business users, providing technical assistance to the development team, and collaborating with stakeholders to gather requirements. Proven analytics skills, including data mining, evaluation, and visualization, will be essential. Strong SQL or Excel skills are required, with a willingness to learn other analytics tools. Your responsibilities will also include defining and implementing data acquisition and integration logic, analyzing data to answer key questions, and developing and maintaining databases. Project roadmap management, scheduling, PMO updates, and conflict resolution are part of the role. At YASH, you will have the opportunity to shape your career in an inclusive team environment that values continuous learning and growth. Our Hyperlearning workplace is built on flexibility, agility, trust, and support for achieving business goals, providing a stable employment with a positive atmosphere and ethical corporate culture. Join us at YASH Technologies and be part of a team that drives positive changes in a virtual world.,

The selected intern will be responsible for designing and developing IoT systems using SoCs with onboard WiFi and GPIO pins. You will be interfacing sensors and actuators with the SoC for data acquisition and control. Your role will involve writing efficient, modular, and well-documented firmware/software for the prototype. Additionally, you will be testing hardware and software functionality in controlled environments and debugging issues related to connectivity, sensor readings, or system performance. Installing prototypes at test sites for real-world evaluation will also be part of your responsibilities. You will gather performance data and user feedback to identify areas for improvement and implement necessary modifications to hardware or software. It is essential to maintain detailed documentation of the development and testing process, along with preparing user manuals or technical guides as required. Please note that a permanent position may be offered to the deserving candidate after successful completion of the internship based on their performance. About Company: Innoway Technologies (OPC) Private Limited is a dynamic Pune-based company specializing in web, mobile, and IoT solutions. Established in 2016, the company is committed to providing cutting-edge digital solutions that meet the evolving needs of businesses across industries. With a focus on innovation and client satisfaction, Innoway Technologies ensures the delivery of exceptional results.,

As an Email Outreach Executive / Data Collection Executive / Media Content Acquisition Executive at SSB Media, you will play a crucial role in building compelling true crime video content for the YouTube channel Patrol Stories TV. Your primary responsibility will be to reach out to US police departments via email to request case-related data such as incident reports, real-life stories, and surveillance footage under the Freedom of Information Act (FOIA). Your key responsibilities will include identifying and researching relevant US Police Departments for data acquisition, drafting and sending professional emails requesting incident reports and case-related material, following up on pending requests, organizing and structuring collected data for video scripts, maintaining request status using CRM tools or Excel/Google Sheets, collaborating with the content and research team, and ensuring legal and ethical compliance while handling public data. To excel in this role, you should have a graduate degree in any field (Mass Comm, Journalism, Law, or English preferred), along with 6 months to 1 year of experience in email communication, research, or outreach-based roles. Strong written communication skills, familiarity with CRM tools or Excel for tracking and follow-ups, excellent organizational skills, attention to detail, and an interest in true crime, documentaries, or real-life cases are essential. In return, you can expect a performance-based salary ranging from 15,000 to 35,000, depending on output quality, the opportunity to work on a unique and fast-growing YouTube project, exposure to international research and communication practices, and a growth path into content, research, or production roles in digital media. If you have a passion for investigative or real-life content, possess excellent email writing skills, and enjoy structured research, we invite you to join our team and contribute to creating authentic, story-driven materials for our audience.,

Associate Manager, D&AI BIOps (Business Intelligence Operations) Consumer & Commercial Overview We are seeking a detail-oriented and proactive Associate Manager BIOps Program Management to support and optimize Business Intelligence Operations (BIOps) programs. This role requires a hands-on professional with a solid foundation in BI governance, data analytics, cloud-based BI platforms, automation, and operational processes. The ideal candidate will assist in implementing scalable BIOps strategies, improving BI platform performance, and ensuring the availability, reliability, and efficiency of enterprise analytics solutions. Assist in managing and maintaining BIOps programs to ensure alignment with business objectives, data governance standards, and enterprise data strategies. Contribute to the implementation of real-time monitoring, automated alerting, and self-healing capabilities to enhance BI platform uptime and performance. Support the development and enforcement of BI governance models, operational frameworks, and execution roadmaps for seamless BI delivery. Assist in standardizing and automating BI pipeline workflows, report generation, and dashboard refresh processes to improve operational efficiency. Work closely with cross-functional teams, including Data Engineering, Analytics, AI/ML, CloudOps, and DataOps, to execute Data & Analytics platform strategies and foster a data-first culture. Provide operational support for PepsiCos Data & Analytics program and platform management to ensure consistency with global data initiatives. Assist in enabling proactive issue identification, self-healing capabilities, and continuous platform sustainment across the PepsiCo Data Estate. Responsibilities Assist in ensuring high availability and optimal performance of BI tools such as Power BI, Tableau, SAP BO, and MicroStrategy. Contribute to real-time observability, monitoring, and incident management processes to maintain system efficiency and minimize downtime. Support efforts to optimize data models, enhance report performance, and reduce query execution times. Work closely with Data Engineering, Analytics, AI/ML, CloudOps, and DataOps teams to support data-driven decision-making. Assist in coordinating with IT, business leaders, and compliance teams to ensure BIOps processes align with regulatory and security requirements. Provide periodic updates on operational performance, risk assessments, and BIOps maturity progress to relevant stakeholders. Support end-to-end BI operations, including testing, monitoring, and sustainment of global products and projects in partnership with Data Engineering teams. Assist in maintaining service-level agreements (SLAs) and engaging with subject matter experts (SMEs) to meet business demands effectively. Partner in the work intake process and Agile management practices to ensure alignment with PepsiCos operational goals and objectives. Contribute to developing and maintaining operational policies, structured processes, and automation to enhance operational efficiency. Foster a customer-centric culture by advocating for customer needs and assisting in resolving challenging customer situations through active listening and problem-solving. Build and maintain strong relationships with stakeholders, ensuring transparency and managing expectations effectively. Assist in fostering a collaborative, high-performing team culture by supporting the teams operational growth and skill development. Help ensure agility within the team by enabling swift priority changes while maintaining productivity. Leverage basic knowledge of cloud infrastructure and BI platforms to support operational requirements and build trust within the organization. Qualifications 7+ years of technology work experience in a large-scale global organization CPG preferred. 7+ years of experience in the Data & Analytics field, with exposure to BI operations and tools. 7+ years of experience working within a cross-functional IT organization. 4+ years of experience in a leadership or team coordination role. Ability to empathize with customers, convey confidence, and explain technical issues to varied audiences effectively. Ability to prioritize customer needs and advocate for timely resolutions through appropriate channels. Demonstrated ability to take ownership, drive results, and ensure operational excellence. Passion for delivering excellent customer experiences and fostering a customer-first culture. Willingness to learn new skills and technologies in a dynamic environment. Hands-on experience in providing technical support for BI or data-related solutions, preferably in a Microsoft Azure environment. Familiarity with modern site reliability practices, including monitoring, incident management, and operational resilience. Experience contributing to operational excellence by supporting the management of BI solutions and improving system performance. Ability to analyze complex issues, identify root causes, and implement effective solutions. Ability to build and maintain strong cross-functional relationships based on trust and respect. Proven ability to drive alignment and consensus across virtual teams and multiple functions through clear communication and collaboration. Track record of achieving results in fast-paced and evolving environments. Experience working in global or multi-country environments, preferably with data and BI implementations. Understanding of key concepts related to master data management, data standards, analytics, and digital transformation. Basic knowledge of data acquisition, data catalogs, and data management tools. Strong interpersonal skills with the ability to influence and persuade stakeholders while fostering lasting partnerships

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview TE Connectivitys Quality and Reliability Engineering Teams analyze the ability of product and production systems to comply with customer and contractual requirements through established reliability factors. They design, recommend revisions and install quality control systems, develop and document analytical methods for establishing reliability of products and their components and conduct analysis on relative reliability with regards to cost, structure, weight, maintainability, facility of production, and availability of materials and equipment. Out teams develop, implement and monitor company environmental safety programs and policies to ensure compliance with federal, state, and local environmental, health and safety regulations and recommend corrective actions if necessary. They are responsible for policies and practices to comply with applicable government regulations and industry requirements related to product environmental compliance, the implementation and management of technical and testing standards and specifications, quality control and reliability programs governing materials, product and processes, resulting in the optimization of material and labor, as well as failure analysis, root cause, corrective action and customer communication. Key Responsibilities Experience7-10 years of hands-on experience in product validation, reliability testing, or test engineering preferably in sensors or automotive, medical domain.Plan and execute validation and reliability tests for sensor products in accordance with global and customer-specific standards. Interpret and apply standards such as IATF 16949, ISO 17025, ISO 13485, AEC-Q100/102/103. Develop test plans, procedures, and reports aligned with product requirements and regulatory needs. Develop and maintain test methods, fixtures and documentation in compliance with ISO 17025 requirements. Operate and maintain test equipment for electrical, mechanical, and environmental testing for maintenance, calibration and test efficiency. Analyze test data using statistical tools (e.g., Minitab), identify trends, and recommend design or process improvements. Collaborate with cross-functional teams including design, quality, and manufacturing to resolve technical issues. Support root cause analysis and corrective action implementation for test failures. Collaborate with global design and validation teams to align test scope, timeline and acceptance criteria. Contribute to lab standardization and continuous improvement initiatives in test methods, automation, and lab efficiency. Ensure Test activities are executed safely in compliance with EHS safety, quality, and documentation standards in the lab environment Mentor junior engineers and technicians in test execution and data interpretation. DESIRED S: EducationBachelors or Masters in Electrical, Electronics, Mechanical, or related field. Experience in DV/PV test plan preparation, test execution, data analysis and test reports. Strong knowledge of environmental, mechanical, and electrical testing methods. Familiarity with test automation tools (e.g., LabVIEW, Python) and data acquisition systems. Expertise in ISO 17025, IATF, AEC-Q qualification Test methodologies is a must. Skilled in use of DAQ, Oscilloscopes, Lab Instruments, Pressure / Vibration / Humidity, Climatic chambers, etc Proficiency in interpreting and applying international and customer-specific standards. Hands-on experience with test equipment and instrumentation. Competencies

Overview We are seeking a detail-oriented and proactive Associate Manager BIOps Program Management to support and optimize Business Intelligence Operations (BIOps) programs. This role requires a hands-on professional with a solid foundation in BI governance, data analytics, cloud-based BI platforms, automation, and operational processes. The ideal candidate will assist in implementing scalable BIOps strategies, improving BI platform performance, and ensuring the availability, reliability, and efficiency of enterprise analytics solutions. Assist in managing and maintaining BIOps programs to ensure alignment with business objectives, data governance standards, and enterprise data strategies. Contribute to the implementation of real-time monitoring, automated alerting, and self-healing capabilities to enhance BI platform uptime and performance. Support the development and enforcement of BI governance models, operational frameworks, and execution roadmaps for seamless BI delivery. Assist in standardizing and automating BI pipeline workflows, report generation, and dashboard refresh processes to improve operational efficiency. Work closely with cross-functional teams, including Data Engineering, Analytics, AI/ML, CloudOps, and DataOps, to execute Data & Analytics platform strategies and foster a data-first culture. Provide operational support for PepsiCos Data & Analytics program and platform management to ensure consistency with global data initiatives. Assist in enabling proactive issue identification, self-healing capabilities, and continuous platform sustainment across the PepsiCo Data Estate. Responsibilities Assist in ensuring high availability and optimal performance of BI tools such as Power BI, Tableau, SAP BO, and MicroStrategy. Contribute to real-time observability, monitoring, and incident management processes to maintain system efficiency and minimize downtime. Support efforts to optimize data models, enhance report performance, and reduce query execution times. Work closely with Data Engineering, Analytics, AI/ML, CloudOps, and DataOps teams to support data-driven decision-making. Assist in coordinating with IT, business leaders, and compliance teams to ensure BIOps processes align with regulatory and security requirements. Provide periodic updates on operational performance, risk assessments, and BIOps maturity progress to relevant stakeholders. Support end-to-end BI operations, including testing, monitoring, and sustainment of global products and projects in partnership with Data Engineering teams. Assist in maintaining service-level agreements (SLAs) and engaging with subject matter experts (SMEs) to meet business demands effectively. Partner in the work intake process and Agile management practices to ensure alignment with PepsiCos operational goals and objectives. Contribute to developing and maintaining operational policies, structured processes, and automation to enhance operational efficiency. Foster a customer-centric culture by advocating for customer needs and assisting in resolving challenging customer situations through active listening and problem-solving. Build and maintain strong relationships with stakeholders, ensuring transparency and managing expectations effectively. Assist in fostering a collaborative, high-performing team culture by supporting the teams operational growth and skill development. Help ensure agility within the team by enabling swift priority changes while maintaining productivity. Leverage basic knowledge of cloud infrastructure and BI platforms to support operational requirements and build trust within the organization. Qualifications 7+ years of technology work experience in a large-scale global organization CPG preferred. 7+ years of experience in the Data & Analytics field, with exposure to BI operations and tools. 7+ years of experience working within a cross-functional IT organization. 4+ years of experience in a leadership or team coordination role. Ability to empathize with customers, convey confidence, and explain technical issues to varied audiences effectively. Ability to prioritize customer needs and advocate for timely resolutions through appropriate channels. Demonstrated ability to take ownership, drive results, and ensure operational excellence. Passion for delivering excellent customer experiences and fostering a customer-first culture. Willingness to learn new skills and technologies in a dynamic environment. Hands-on experience in providing technical support for BI or data-related solutions, preferably in a Microsoft Azure environment. Familiarity with modern site reliability practices, including monitoring, incident management, and operational resilience. Experience contributing to operational excellence by supporting the management of BI solutions and improving system performance. Ability to analyze complex issues, identify root causes, and implement effective solutions. Ability to build and maintain strong cross-functional relationships based on trust and respect. Proven ability to drive alignment and consensus across virtual teams and multiple functions through clear communication and collaboration. Track record of achieving results in fast-paced and evolving environments. Experience working in global or multi-country environments, preferably with data and BI implementations. Understanding of key concepts related to master data management, data standards, analytics, and digital transformation. Basic knowledge of data acquisition, data catalogs, and data management tools. Strong interpersonal skills with the ability to influence and persuade stakeholders while fostering lasting partnerships

Overview We are seeking a skilled Associate Manager AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Responsibilities Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate.Responsibilities: Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent Communication: Ability to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric Approach: Strong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & Accountability: Proactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth Mindset: Willingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational Excellence: Experience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & Automation: Understanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional Collaboration: Ability to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics.

Overview Seeking an Associate Manager, Data Operations, to support our growing data organization. In this role, you will assist in maintaining data pipelines and corresponding platforms (on-prem and cloud) while working closely with global teams on DataOps initiatives. Support the day-to-day operations of data pipelines, ensuring data governance, reliability, and performance optimization on Microsoft Azure. Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and real-time streaming architectures is preferred. Assist in ensuring the availability, scalability, automation, and governance of enterprise data pipelines supporting analytics, AI/ML, and business intelligence. Contribute to DataOps programs, aligning with business objectives, data governance standards, and enterprise data strategy. Help implement real-time data observability, monitoring, and automation frameworks to improve data reliability, quality, and operational efficiency. Support the development of governance models and execution roadmaps to enhance efficiency across Azure, AWS, GCP, and on-prem environments. Work on CI/CD integration, data pipeline automation, and self-healing capabilities to improve enterprise-wide DataOps processes. Collaborate with cross-functional teams to support and maintain next-generation Data & Analytics platforms while promoting an agile and high-performing DataOps culture. Assist in the adoption of Data & Analytics technology transformations, ensuring automation for proactive issue identification and resolution. Partner with cross-functional teams to support process improvements, best practices, and operational efficiencies within DataOps. Responsibilities Assist in the implementation and optimization of enterprise-scale data pipelines using Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Stream Analytics. Support data ingestion, transformation, orchestration, and storage workflows, ensuring data reliability, integrity, and availability. Help ensure seamless batch, real-time, and streaming data processing, focusing on high availability and fault tolerance. Contribute to DataOps automation efforts, including CI/CD for data pipelines, automated testing, and version control using Azure DevOps and Terraform. Collaborate with Data Engineering, Analytics, AI/ML, CloudOps, and Business Intelligence teams to support data-driven decision-making. Assist in aligning DataOps practices with regulatory and security requirements by working with IT, data stewards, and compliance teams. Support data operations and sustainment activities, including testing and monitoring processes for global products and projects. Participate in data capture, storage, integration, governance, and analytics efforts, working alongside cross-functional teams. Assist in managing day-to-day DataOps activities, ensuring adherence to service-level agreements (SLAs) and business requirements. Engage with SMEs and business stakeholders to ensure data platform capabilities align with business needs. Contribute to Agile work intake and execution processes, helping to maintain efficiency in data platform teams. Help troubleshoot and resolve issues related to cloud infrastructure and data services in collaboration with technical teams. Support the development and automation of operational policies and procedures, improving efficiency and resilience. Assist in incident response and root cause analysis, contributing to self-healing mechanisms and mitigation strategies. Foster a customer-centric approach, advocating for operational excellence and continuous improvement in service delivery. Help build a collaborative, high-performing team culture, promoting automation and efficiency within DataOps. Adapt to shifting priorities and support cross-functional teams in maintaining productivity and achieving business goals. Utilize technical expertise in cloud and data operations to support service reliability and scalability. Qualifications 5+ years of technology work experience in a large-scale global organization, with CPG industry experience preferred. 5+ years of experience in Data & Analytics roles, with hands-on expertise in data operations and governance. 2+ years of experience working within a cross-functional IT organization, collaborating with multiple teams. Experience in a lead or senior support role, with a focus on DataOps execution and delivery. Strong communication skills, with the ability to collaborate with stakeholders and articulate technical concepts to non-technical audiences. Analytical and problem-solving abilities, with a focus on prioritizing customer needs and operational improvements. Customer-focused mindset, ensuring high-quality service delivery and operational efficiency. Growth mindset, with a willingness to learn and adapt to new technologies and methodologies in a fast-paced environment. Experience supporting data operations in a Microsoft Azure environment, including data pipeline automation. Familiarity with Site Reliability Engineering (SRE) principles, such as monitoring, automated issue remediation, and scalability improvements. Understanding of operational excellence in complex, high-availability data environments. Ability to collaborate across teams, building strong relationships with business and IT stakeholders. Basic understanding of data management concepts, including master data management, data governance, and analytics. Knowledge of data acquisition, data catalogs, data standards, and data management tools. Strong execution and organizational skills, with the ability to follow through on operational plans and drive measurable results. Adaptability in a dynamic, fast-paced environment, with the ability to shift priorities while maintaining productivity.

Overview We are seeking a skilled Associate Manager AIOps & MLOps Operations to support and enhance the automation, scalability, and reliability of AI/ML operations across the enterprise. This role requires a solid understanding of AI-driven observability, machine learning pipeline automation, cloud-based AI/ML platforms, and operational excellence. The ideal candidate will assist in deploying AI/ML models, ensuring continuous monitoring, and implementing self-healing automation to improve system performance, minimize downtime, and enhance decision-making with real-time AI-driven insights. Responsibilities Support and maintain AIOps and MLOps programs, ensuring alignment with business objectives, data governance standards, and enterprise data strategy. Assist in implementing real-time data observability, monitoring, and automation frameworks to enhance data reliability, quality, and operational efficiency. Contribute to developing governance models and execution roadmaps to drive efficiency across data platforms, including Azure, AWS, GCP, and on-prem environments. Ensure seamless integration of CI/CD pipelines, data pipeline automation, and self-healing capabilities across the enterprise. Collaborate with cross-functional teams to support the development and enhancement of next-generation Data & Analytics (D&A) platforms. Assist in managing the people, processes, and technology involved in sustaining Data & Analytics platforms, driving operational excellence and continuous improvement. Support Data & Analytics Technology Transformations by ensuring proactive issue identification and the automation of self-healing capabilities across the PepsiCo Data Estate. Responsibilities: Support the implementation of AIOps strategies for automating IT operations using Azure Monitor, Azure Log Analytics, and AI-driven alerting. Assist in deploying Azure-based observability solutions (Azure Monitor, Application Insights, Azure Synapse for log analytics, and Azure Data Explorer) to enhance real-time system performance monitoring. Enable AI-driven anomaly detection and root cause analysis (RCA) by collaborating with data science teams using Azure Machine Learning (Azure ML) and AI-powered log analytics. Contribute to developing self-healing and auto-remediation mechanisms using Azure Logic Apps, Azure Functions, and Power Automate to proactively resolve system issues. Support ML lifecycle automation using Azure ML, Azure DevOps, and Azure Pipelines for CI/CD of ML models. Assist in deploying scalable ML models with Azure Kubernetes Service (AKS), Azure Machine Learning Compute, and Azure Container Instances. Automate feature engineering, model versioning, and drift detection using Azure ML Pipelines and MLflow. Optimize ML workflows with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics for data preparation and ETL/ELT automation. Implement basic monitoring and explainability for ML models using Azure Responsible AI Dashboard and InterpretML. Collaborate with Data Science, DevOps, CloudOps, and SRE teams to align AIOps/MLOps strategies with enterprise IT goals. Work closely with business stakeholders and IT leadership to implement AI-driven insights and automation to enhance operational decision-making. Track and report AI/ML operational KPIs, such as model accuracy, latency, and infrastructure efficiency. Assist in coordinating with cross-functional teams to maintain system performance and ensure operational resilience. Support the implementation of AI ethics, bias mitigation, and responsible AI practices using Azure Responsible AI Toolkits. Ensure adherence to Azure Information Protection (AIP), Role-Based Access Control (RBAC), and data security policies. Assist in developing risk management strategies for AI-driven operational automation in Azure environments. Prepare and present program updates, risk assessments, and AIOps/MLOps maturity progress to stakeholders as needed. Support efforts to attract and build a diverse, high-performing team to meet current and future business objectives. Help remove barriers to agility and enable the team to adapt quickly to shifting priorities without losing productivity. Contribute to developing the appropriate organizational structure, resource plans, and culture to support business goals. Leverage technical and operational expertise in cloud and high-performance computing to understand business requirements and earn trust with stakeholders. Qualifications 5+ years of technology work experience in a global organization, preferably in CPG or a similar industry. 5+ years of experience in the Data & Analytics field, with exposure to AI/ML operations and cloud-based platforms. 5+ years of experience working within cross-functional IT or data operations teams. 2+ years of experience in a leadership or team coordination role within an operational or support environment. Experience in AI/ML pipeline operations, observability, and automation across platforms such as Azure, AWS, and GCP. Excellent Communication: Ability to convey technical concepts to diverse audiences and empathize with stakeholders while maintaining confidence. Customer-Centric Approach: Strong focus on delivering the right customer experience by advocating for customer needs and ensuring issue resolution. Problem Ownership & Accountability: Proactive mindset to take ownership, drive outcomes, and ensure customer satisfaction. Growth Mindset: Willingness and ability to adapt and learn new technologies and methodologies in a fast-paced, evolving environment. Operational Excellence: Experience in managing and improving large-scale operational services with a focus on scalability and reliability. Site Reliability & Automation: Understanding of SRE principles, automated remediation, and operational efficiencies. Cross-Functional Collaboration: Ability to build strong relationships with internal and external stakeholders through trust and collaboration. Familiarity with CI/CD processes, data pipeline management, and self-healing automation frameworks. Strong understanding of data acquisition, data catalogs, data standards, and data management tools. Knowledge of master data management concepts, data governance, and analytics.