171149 Research Jobs - Page 4

Job Title: Performance Marketer Job description: We are seeking a highly skilled Performance Marketer to plan, execute, and optimize online marketing strategies across platforms such as Google Ads, LinkedIn Ads, Meta Ads, and other digital channels. The ideal candidate will have a strong background in performance-based marketing, data analysis, and lead generation for B2B clients. You will be responsible for driving high-quality leads and improving ROI through well-targeted and optimized campaigns. Qualification : - Any Graduates/Experience in relevant field Experience: - 2 to 5 Years Location : - Bhubaneswar Job Type: - Full time Schedule: Day Time Responsibilities · Plan and execute performance marketing campaigns across multiple platforms, including Google, LinkedIn, and Meta, focused on B2B lead generation · Conduct keyword research, audience segmentation, and competitor analysis to drive campaign strategy · Optimize ad creatives, budgets, bidding strategies, and targeting to maximize performance · Track KPIs and prepare reports on campaign performance, identifying areas for improvement · Collaborate with the content and design teams to ensure compelling creatives and landing pages · Stay up-to-date with the latest tools, techniques, and trends in performance marketing · Deliver measurable results aligned with business goals and marketing ROI Skills Required · A strong understanding of how performance marketing fits into the broader digital marketing strategy · Experience in platforms such as Google Ads, LinkedIn Ads, and Meta Ads · Proficiency in tools such as Google Analytics, Google Tag Manager, and conversion tracking · Knowledge of Microsoft Excel and data analysis techniques · Strong analytical and problem-solving skills · Creative thinking and innovative marketing approach · Excellent attention to detail and time management · Ability to present performance data clearly to stakeholders · Creative ad copywriting and landing page insight · Strong relationship-building and communication skills Benefits: · Competitive salary, great perks, and a work culture that’s as fun as it is rewarding. · On-time Salary · Paid time off and holidays. · Leave encashment · Provident Fund · Plenty of room to experiment, innovate, and grow. About Us Qualysec is a leading cybersecurity firm specializing in comprehensive penetration testing and risk assessment services. Our tailored solutions help businesses proactively defend against evolving cyber threats. With over four years of experience, we take pride in having served more than 150 clients across 21 countries—a testament to our commitment to quality and resilience. Our dynamic work environment and employee-focused culture drive our continuous growth and success. Job Type: Part-time Work Location: In person

Job Summary: We are looking for a dynamic and qualified Computer Science, Mathematics and Electronics Faculty member to teach undergraduate students in the Computer Science department. The candidate will be responsible for delivering academic content effectively, mentoring students, and contributing to the overall development of the department. Key Responsibilities: Teach undergraduate-level For Computer science subjects such as Programming Languages, Data Structures, Algorithms, Operating Systems, Database Management, Computer Networks, Web Technologies, PYTHON Programming, Data Analytics, Data Visualization, Data Science, Big Data Analytcs, Machine learning, Generative AI, Algorithm Design Design&Techniques, and other related course For Mathematics - Mathematics Foundations to Computer Science, Calculus and Analytical Geometry,Differential Equations-I, Discrete Mathematical Structure, Probability and Statistics,Liner Programming, Algeberic Group, Group, Sub Group, Cyclic Group, For Electronics - Digital Logic,Electronic Devices & Circuits, Analog & Digital Electronics Design and implement lesson plans, lab exercises, and assessment tools aligned with the college curriculum. Conduct lectures, tutorials, lab sessions, and internal assessments as per the academic schedule. Guide students on academic projects, seminars, and internships. Maintain accurate records of student performance, attendance, and grades. Provide academic support and counseling to students as needed. Stay updated with advancements in technology and incorporate relevant updates into teaching. Participate in curriculum development, academic planning, and departmental activities. Contribute to research, publications, and academic events such as workshops and seminars (if applicable). Maintain discipline and a positive learning environment in the classroom and laboratory. Qualifications: Master’s Degree (M.Sc / M.Tech / MCA) or B.Tech in Computer Science / Information Technology or a related field from a recognized university. Master’s Degree (M.Sc in Mathematics) Master’s or B.Tech Degree in Electronics or Telecommunication. UGC NET qualification or equivalent (preferred but not mandatory). Freshers can also apply. Skills and Competencies: Strong subject knowledge across core areas of Computer Science, Math and Electronics Proficiency in programming languages such as C/C++, Java, Python, etc. Good understanding of emerging technologies and tools. Excellent communication and classroom management skills. Passion for teaching, mentoring, and student development. Ability to use digital tools and Learning Management Systems (LMS) for teaching. Desirable: Experience with online teaching platforms and blended learning. Industry certifications (e.g., Oracle, Microsoft, Cisco, Google, etc.) are a plus. Research interest or publications in relevant domains. Contact-9437359171 for detail Job Types: Full-time, Fresher, Contractual / Temporary Pay: ₹15,000.00 - ₹20,000.00 per month Benefits: Commuter assistance Food provided Work Location: In person

Bhubaneswar, India Job Category : Security Research Posting Date : 01 January 2024 Job Type : Engineering Years of Experience : 5-10 Does this position require a security clearance? No Applicants are required to read,write and speak the following languages Hindi/English Additional Info : Job Description As an esteemed Security Research Engineer with expertise in offensive methodologies and substantiating exploitation, your indispensable role within our security team cannot be understated. Your principal task entails spearheading team exercises to evaluate and enhance our organizational defenses. Moreover, you will partake in team exercises, working alongside the team to strengthen detection prowess and simulate intricate attack scenarios. As part of your role, you will have the responsibility of overseeing and implementing an efficient security strategy, along with security programs and services that are both effective and reliable. Responsibilities Ensure that you remain ahead in the industry by consistently enhancing your understanding of emerging threats, up-to-date attack techniques, and well-documented vulnerabilities. Conduct diverse exercises, including internal and external penetration tests and lateral movement assessments. Evaluate and circumvent security systems to uncover vulnerabilities and propose enhancements. Improve tools for managing configuration or attack paths. Simulate advanced methods and detect different approaches to Tactics, Techniques, and Procedures (TTPs) that could remain unnoticed. Create comprehensive reports that thoroughly document the discoveries, approaches, and applicable suggestions derived from Team engagements. Construct concise and persuasive reports that proficiently convey identified weaknesses, potential attack paths, and potential consequences to relevant parties. Guarantee that reports offer pragmatic advice for rectifying vulnerabilities and improving overall security. Qualifications Bachelor's degree in Computer Science or certifications in Offensive Security such as OSCP, OSCE, or similar qualifications. Minimum of 4 years of experience in a similar role, showcasing a strong background in offensive security and penetration testing. Required Skills Proficient in writing IPS/SIEM detection logic using tools like Splunk or Anvilogic. Hands-on experience in blue team activities with SPL, KQL, YARA-L, and SIGMA. Skilled in crafting detection logic for SIEM or Data Lakes, including Splunk, Anvilogic, etc. Excellent English communication skills, both written and verbal, to effectively communicate complex technical concepts to technical and non-technical stakeholders. Capable of sharing knowledge effectively to educate others. Strong problem-solving abilities and a creative mindset for identifying attack vectors and developing innovative strategies. Disclaimer Hiring Range: from 1000000 to 2250000 per annum. May be eligible for bonus and equity. We maintain broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Nirmalya’s differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. About Us Nirmalya's career has the potential to encompass various industries, roles, countries, and cultures, allowing for growth in novel positions and driving innovation, while effectively balancing work and personal life. Nirmalya has achieved success over the years by embracing change, fostering innovation, and consistently upholding ethical principles, thereby delivering exceptional results for leading companies across multiple industries.To foster and support the talents responsible for such accomplishments, our dedication lies in cultivating an inclusive culture that appreciates and embraces diverse insights and perspectives. We strive to create a workforce that inspires thought leadership and sparks innovation, ensuring a thriving environment for all. Nirmalya Employee Benefits are meticulously designed to prioritize equality, reliability, and affordability. Our comprehensive package encompasses essential features such as Medical and Life Insurance, while also granting access to Retirement Planning and more. Additionally, we actively encourage our employees to actively contribute to the well-being of the communities where we operate. We firmly believe that fostering diversity and inclusion lays the foundation for innovation. To shape a brighter tomorrow, we seek talent from diverse backgrounds, embracing a range of perspectives and abilities. We are committed to providing reasonable accommodations to individuals with disabilities throughout the job application, interview, and prospective role stages, thereby enabling them to effectively perform crucial job functions. Our dedication lies in fostering an inclusive workforce that enables every individual to thrive. We believe in the power of diverse perspectives and value every voice, as it is this harmony that propels us to surpass previous achievements. As an Equal Employment Opportunity Employer, Nirmalya ensures that all applicants are treated fairly and without discrimination. We promote equality regardless of race, color, religion, national origin, gender identity, disability, protected veterans’ status, or any other characteristic protected by law. Additionally, Oracle complies with applicable legislation by considering qualified applicants with arrest and conviction records for employment opportunities. Join our team where diversity is celebrated, and everyone's unique contribution is respected. Together, we embrace innovation and strive towards excellence – a testament to our commitment to fostering an inclusive and thriving workplace.

We are seeking a proactive and experienced Sales and Marketing Manager to develop and execute our offline marketing strategy. This is a hands-on field role focused on expanding our market presence, building strong relationships with clients and partners, and driving tangible sales growth. The ideal candidate is a self-starter with a deep understanding of the local market and a proven track record in field sales and marketing. Key Responsibilities: Business Development & Field Sales: Identify and target potential B2B clients, including local retailers, boutiques, corporate clients, and institutional buyers. Conduct field visits to prospective partners to present our products/services and establish business relationships. Develop and manage a network of channel partners, dealers, or resellers. Achieve and exceed monthly and quarterly sales targets. Offline Marketing & Brand Promotion: Plan and execute local marketing campaigns, including flyer distribution, local advertising, and direct mailers. Organize and manage participation in local events, exhibitions, trade shows, and pop-up shops to generate leads and enhance brand visibility. Build and maintain relationships with local community groups, business associations, and influencers. Conduct market research and competitor analysis to identify new opportunities. Client Relationship Management: Act as the primary point of contact for key offline clients, ensuring high levels of satisfaction. Gather customer feedback from the field to inform product development and service improvements. Maintain a comprehensive database of contacts, leads, and clients. Strategy & Reporting: Develop a clear offline sales and marketing strategy in alignment with company goals. Track, analyze, and report on sales performance, marketing campaign ROI, and field activities. Manage the budget for offline marketing activities effectively. Qualifications and Skills: Required: Bachelor’s degree in Marketing, Business Administration, or a related field. Proven experience of 3-5 years in field sales, business development, or offline marketing. Excellent communication, negotiation, and interpersonal skills. Strong understanding of the local market dynamics in [City/Region]. Must be a self-starter with the ability to work independently and manage time effectively. Must own a two-wheeler or other vehicle and possess a valid driver's license. Proficiency in English, Hindi, and Punjabi Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹25,000.00 per month Benefits: Cell phone reimbursement Work Location: In person

Hiring for SEO Executive Experience- 6 months to 1 Year and fresher also can apply with good communication skills Job Overview: We’re looking for an SEO Executive with 6 months to 1 year of experience to help grow our website traffic and improve search rankings. You’ll work on keyword research, on-page and off-page SEO, and use SEO tools to track performance . Key Responsibilities: Do keyword research and competitor analysis Optimize website pages, titles, and content Build backlinks and improve domain authority Use tools like Google Analytics & Search Console Track website rankings and SEO performance Stay updated with SEO trends and best practices 5 Days Working Job Types: Full-time, Fresher Pay: ₹12,000.00 - ₹15,000.00 per month Benefits: Health insurance Provident Fund Work Location: In person

F ortis Healthcare F ortis Healthcare is committed to clinical excellence through nurturing talent and providing world class infrastructure and medical technology. We believe that a content employee is high in commitment, motivation and can provide best patient care. We provide an environment that encourages the professional and personal growth. I f you are passionate about caring for people and want to excel in the clinical field then Fortis Healthcare is an ideal place for you. W e pride ourselves for fostering an environment of clinical excellence, following world class standards and academics & research. You will experience:- B est in class work culture to bring out the “Leader” in you. O pportunity to work with the world renowned medical fraternity. H igher education support for academic excellence and proficiency. R ecognition of talent and excellent opportunities to maximize your potential. W

DESCRIPTION Are you interested in improving the Digital Reading Experience. We are from Kindle Books Team looking for a Senior Manager in Applied Science who will be managing the Applied Scientists and ML Engineering Team. The team is looking to take the reading experience in Kindle to next level with a set of innovations! We are building a holistic team focused on leveraging advances in AI to improve the Reading experience for Kindle customers, and this role is specifically for a Senior Manager, Applied Science who will focus on grooming the team, working with other science teams, influencing the product strategy & team vision and bringing the state-of the art innovations for improving Reading experience. The Senior Manager will also be managing the Analytics, Data insights, experimentation and ML Operations influencing all the key spaces aiding in Science deliverables. Key job responsibilities You independently manage Science & Engineering teams. You are able to hire, develop, and promote scientists, engineers and other data intensive job families (Data Engineers, Business Intelligence Engineers, Business Analysts). You define the strategic vision, a long-term roadmap, establish the right scientific team structure, and lead your team(s) as they deliver high-quality, maintainable analysis, research, and potentially production level models that execute on that vision. Your team is structured to successfully and sustainably meet scientific, business, and technology needs. You leverage talent as needed and make the appropriate people trade-offs to meet incoming demands. Your strategic plans include how your teams will scale or need to change to accommodate business needs. You will be responsible for various aspects of the Science teams like Analytics, Business Intelligence, MLOps, ML Engineering, Data Science and Applied Science. You keep yourself up-to-date with the recent advances, thereby guiding the team with right decisions. You work effectively with technical and business leaders. You are able to influence other team roadmaps, reach consensus on approach/prioritization, and deliver scientific artefacts and/or products successfully. You serve as the organization’s voice on all matters of data analytics and scientific modeling. You identify large risks, endemic problems, areas of opportunity/customer value and when needed, are able to influence other teams to collaborate with your team to build solutions. You champion scientific, engineering, and operational excellence best practices within your team and influence other teams in your organization. You bring in innovation culture within your team and encourage them for next experiments and innovations. A day in the life You will be responsible for working with product teams to bring in the long-term vision for this charter. You define the project plans & deliverables and unblock the team to consistently deliver. You work with multiple disciplines for effective delivery. You look at options for collaboration and work with other leaders both from Domain expertise and from Science expertise. About the team The vision for the Reading Experience Science & Algorithms team is to enable delightful reading experiences; scale to applicable content and thereby making Kindle the best place to read with the assistance of Science and AI capabilities. BASIC QUALIFICATIONS MS/PhD degree in Computer Vision, Machine Learning, or related areas. Proven track record of shipping AI products 10+ years of working experience on related AI areas 5+ years of managing experience of scientists Excellent business writing, verbal communication, and cross discipline collaboration skills PREFERRED QUALIFICATIONS Experience managing software development engineers/ML engineers Worked with product teams for building vision/strategy for a space. 2+ years of hands-on experience as a Senior Scientist Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION Amazon’s Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. We build software to find products not already sold on Amazon and algorithmically add them to the Amazon catalog. Our work involves building state-of-the-art Information Retrieval (IR) infrastructure, extracting structured-data from unstructured-content, automatic item classification, storage systems to hold the massive catalog and distributed systems of cloud-scale. We apply the state- of- the-art parallel processing and machine learning algorithms to evaluate millions of products every day and identify and prioritize new additions to Amazon’s catalog efficiently. If you are customer obsessed, driven, tenacious and analytical, you will have fun solving our business problems of unprecedented scale. Come join us in our journey to make everything - and yes, we do mean *everything* - that anyone wants to buy, available on Amazon! As a Senior Product Manager, your leading priority will be to design and evolve a scalable product/service offering to allow Amazon to a) add important selection, b) recruit and on-board vendors and sellers, and c) enrich amazon catalog to offer high quality detail pages for our customers. You will also work with teams across countries to drive adoption of Selection Monitoring products. We are looking for candidates with a background in understanding business/customer needs, translating them into feature requirements/process changes, and to drive execution of programs working with stakeholders across multiple marketplaces including Business, Operations, and Technology teams. You will also actively engage the technical teams to define and scope the necessary tools and workflows to be developed to support use cases to add and enrich selection. In addition, you will closely work with retail teams to leverage existing best practices, and drive selection addition. Finally you will target to offer process improvements that reduces friction in product selection creation, accelerate selection addition and enrichment across marketplaces worldwide. The ideal candidate will have excellent program management, problem solving and communication skills and be comfortable interacting with technical and non-technical stakeholders at all levels. In addition, the ability to work backwards and think about the programs and products from a customer perspective is crucial. You must be able to: Interact with Project Sponsors, Program and Product Managers, and multiple development teams to define and deliver complex cross-functional projects. Run in front of the software development team, helping define user stories, research appropriate technical solutions, and provide guidance to the team regarding architecture, design, and priorities. Build and maintain a complete project schedule, make it constantly visible to management and key stakeholders, and drive it through to completion. Anticipate bottlenecks, provide escalation management, anticipate and make trade-offs, and balance the business needs versus technical constraints. Engage with [many] other teams in the company, evangelizing the team and your project, building relationships and helping identify existing components and technologies that can be leveraged to deliver on our goals. Identify, assess, track and mitigate issues and risks at multiple levels. Create, maintain and disseminate project information to stakeholders. BASIC QUALIFICATIONS 5+ years of product or program management, product marketing, business development or technology experience Experience with feature delivery and tradeoffs of a product Experience owning/driving roadmap strategy and definition Experience with end to end product delivery Experience as a product manager or owner Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field PREFERRED QUALIFICATIONS Experience in influencing senior leadership through data driven insights Experience working across functional teams and senior stakeholders Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION About Amazon Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience – Amazon continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from website to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon to research and develop technology that improves the lives of shoppers and sellers around the world. About the Role Account Manager - Amazon Vendor Services, North America As an Account Manager you would be a part of Amazon Vendor Services (AVS) Team of Retail Business Services. You will have the exciting opportunity to help shape and deliver on a strategy for managing Amazon AVS vendors. AVS team is looking for bright, customer centric, driven, and creative candidates to join our team. You will interface with Ecommerce/Digital teams of your assigned vendors and also internally with stakeholders across our Retail Vendor Management and Vendor Services teams, while being responsible for multiple aspects of the vendor’s business with Amazon. You will engage directly with multiple internal teams to optimize and trouble shoot to grow business for your vendors on Amazon. You will utilize a wide range of skills and work across major functional areas such as, selection, catalogue quality, buying, inventory management, finance, operations, to drive the performance of vendor partners at Amazon. In this role you will be focused on driving numerous aspects of managing the customer relationships with vendors. You will conceive, create and analyze a wide range of deal activities to grow the vendor’s traffic, brand awareness, customer conversion, and revenue on Amazon. Also, you will look into operational aspects of vendor’s business with Amazon, root cause analysis of issues and opportunities impacting business. Timings will be as per North America shift, 3:00 pm IST to 12:00 am IST Key job responsibilities Establish long term partnerships with key vendor partners for the group of vendors handled. Partnering with the Retail Category Team and build successful communication channels at all levels, set proper expectations, provide clear status communications, and manage towards a growth plan for the vendors. Build and execute on a joint business plan that delivers on key business opportunities and relevant KPIs for the vendors and Amazon. Conduct deep dive analysis on vendor issues and publish recommendations and action plans based on data, to improve vendor experience. Success will be measured by the performance of your vendors on input metrics and impact on creating a great customer experience for buying consumers. Conduct regular business reviews with the vendors, highlight business metric performance and build action plans. BASIC QUALIFICATIONS 2+ years of sales or account management experience Experience with Excel Experience analyzing data and best practices to assess performance drivers PREFERRED QUALIFICATIONS Experience analyzing key open issues and resolution metrics for each of the managed accounts Experience in relationship management within technology, start-ups, or SaaS Platforms Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION Amazon’s ROW (Rest of World) Supply Chain Analytics team is looking for talented Business Intelligence Engineers who develop solutions to better manage/optimize speed and operations planning while providing the best experience to our customers at the lowest possible price. Our team members have an opportunity to be at the forefront of supply chain thought leadership by working on some of the most difficult problems with some of the best research scientists, product/program managers, software developers and business leaders in the industry, shaping our roadmap to drive real impact on Amazon's long-term profitability. We are an agile team, building new analysis from ground up, proposing new concepts and technology to meet business needs, and enjoy and excel at diving into data to analyze root causes and implement long-term solutions. As a BIE within the group, you will analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, build models to predict and optimize and most importantly work with different stakeholders to drive improvements over time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, build analytical products and cause impact across wider teams in intuitive ways. This position provides opportunities to influence high visibility/high impact areas in the organization. They are right a lot, work very efficiently, and routinely deliver results on time. They have a global view of the analytical and/or science solutions that they build and consistently think in terms of automating, expanding, and scaling the results broadly. This position also requires you to work across a variety of teams, including transportation, operations, finance, delivery experience, people experience and platform (software) teams. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, extract and manipulate data across various data marts, and align research focuses on Amazon’s strategic needs. We are looking for people with a flair for recognizing trends and patterns while correlating it to the business problem at hand. If you have an uncanny ability to decipher the exact policy/mechanism/solution to address the challenge and ability to influence folks using hard data (and some tact) then we are looking for you! Key job responsibilities Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations Collaborating with product and software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of analytical and machine learning models Mining and manipulating data from database tables, simulation results, and log files Identifying data needs and driving data quality improvement projects Understanding the broad range of Amazon’s data resources, which to use, how, and when Thought leadership on data mining and analysis Modeling complex/abstract problems and discovering insights and developing solutions/products using statistics, data mining, science/machine-learning and visualization techniques Helping to automate processes by developing deep-dive tools, metrics, and dashboards to communicate insights to the business teams Collaborating effectively with internal end-users, cross-functional software development teams, and technical support/sustaining engineering teams to solve problems and implement new solutions About the team ROW (Rest of World) Supply Chain analytics team is hiring multiple BIE roles in speed, planning, inbound and SNOP functions. The role will be responsible for generating insights, defining metrics to measure and monitor, building analytical products, automation and self-serve and overall driving business improvements. The role involves combination of data-analysis, visualization, statistics, scripting, a bit of machine learning and usage of AWS services. BASIC QUALIFICATIONS 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience with forecasting and statistical analysis Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? At AWS ProServe India LLP (“ProServe India”), we are helping large enterprises build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. Our Professional Services organization works together with our internal customers to address business needs of AWS customers using AI. AWS Professional Services is a unique consulting team in ProServe India. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML or DL models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. If you do not live in a market where we have an open Data Scientist position, please feel free to apply. Our Data Scientists can live in any location where we have a Professional Service office. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Major responsibilities include: Understand the internal customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances . Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models. Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models. Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data. Work with our Professional Services DevOps consultants to help our internal customers operationalize models after they are built. Assist internal customers with identifying model drift and retraining models. Research and implement novel ML and DL approaches, including using FPGA. This role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi/Pune. About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS 10+ years of professional or military experience, including a Bachelor's degree. 7+ years managing complex, large-scale projects with internal or external customers. Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Skilled in using Deep Learning frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, Amazon Machine Learning) to build models for internal customers. PREFERRED QUALIFICATIONS 10+ years of IT platform implementation in a technical and analytical role experience. Experience in consulting, design and implementation of serverless distributed solutions. Experienced in databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and managing complex, large-scale customer-facing projects. Experienced as a technical specialist in design and architecture, with expertise in cloud-based solutions (AWS or equivalent), systems, networks, and operating systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION Amazon, one the world’s leaders in e-commerce is looking for a talented Marketing Manager to support rapidly growing and evolving businesses. You will support the business by managing Associate Marketing managers working on content management or catalog/ supply chain defects elimination/marketing related activities. You will work directly with program teams, Retail teams and a variety of global internal businesses and outside vendors to drive operations goals related to Amazon Catalog across several countries. You will support multiple operations teams that work on Amazon Catalog to update and improve the detail page of the products sold by Amazon or support in solve different types of errors. Duties may include, taking part in planning, organizing and directing the work of site merchandisers or others, strategize and drive team to execute procedures on work received, to estimate time on new jobs received, to check accuracy / quality of the tasks delivered, to ensure records are maintained accurately, and to ensure utilization (or related metrics) of the team is high. As a Marketing manager, you would be responsible for managing a team of around 10-15 AMMs reporting into you. Key job responsibilities Role and Responsibility: Manage specialists and site merchandisers supporting marketing goals and in turn support internal business teams to ensure the best customer experience; Work with various Amazon teams to support the search for automation opportunities and leverage existing technologies; Define appropriate operational metrics aligned with business goals; establish processes for measuring, tracking, and driving continuous improvement of these metrics; Track key metrics continuously and identify risks; call out gaps and manage resources proactively; Plan and manage capacity to achieve business objectives. Identify opportunity areas and evaluate them on the basis of feasibility, timelines, etc; Analyze defects and support the development of programs that fix root causes, escalating when required to drive closure; Own structured communication with all internal (Vendor Managers, Sr. Vendor Managers) and external stakeholders; Build and scale process-related solutions that have metric impact through multiple projects and automation; driving the adoption of solutions across teams; Provide regular coaching and feedback to direct reports to help them individually grow functional skills and leadership capability; Build solutions to meet the hiring needs; retain and develops talent. BASIC QUALIFICATIONS 4+ years of professional non-internship marketing experience 3+ years of working with creative teams, content managers and marketers to bring brand promise to life experience Experience managing teams Experience using data and metrics to drive improvements Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables) Experience building, executing and scaling cross-functional marketing programs PREFERRED QUALIFICATIONS 2+ years of segmentation and developing customer profiles experience 2+ years of supporting quantitative and qualitative consumer research experience Experience using data and metrics to measure impact and determine improvements Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job Title: Business Development & Relationship Professional Company: Raak Sapphire Pvt Ltd Location: Bengaluru Job Type: Full-Time Job Summary: Raak Sapphire Pvt Ltd is seeking a highly motivated Business Development & Relationship Professional to help grow our presence in the education sector. The ideal candidate will be responsible for promoting our innovative educational solutions to schools, colleges, and other potential clients. As a Field Marketing Executive, you will take charge of developing relationships with educational institutions, executing on-the-ground marketing strategies, and building strong community engagement to drive business growth. This role requires someone who is results-driven, enjoys interacting with clients, and has a passion for education and technology. Responsibilities: Field Marketing & Outreach: Execute direct marketing efforts by visiting educational institutions, government bodies, and other prospective clients to promote Raak Sapphire’s educational offerings (STEM, Robotics, IoT, AI). Campaign Execution: Implement and monitor marketing initiatives like school visits, live demonstrations, workshops, and exhibitions to raise awareness about our products and services. Relationship Building: Build and maintain strong relationships with school administrators, educational authorities, and decision-makers to establish long-term collaborations. Event Coordination: Organize and participate in events like seminars, workshops, and expos to demonstrate Raak Sapphire’s solutions and gain new leads. Market Research: Conduct research to identify potential clients, industry trends, and customer needs in the educational sector, using insights to shape marketing strategies. Product Presentations: Present and explain Raak Sapphire’s offerings (robotics labs, coding classes, IoT kits) to clients, showcasing how our products can enhance educational outcomes. Qualifications: Education: Bachelor’s degree in Marketing, Business, Education, or a related field. Experience: Prior experience in field marketing or sales, particularly in the EdTech or educational services sector, is preferred. Communication Skills: Strong interpersonal and communication skills, with the ability to deliver presentations and engage with school staff, administrators, and students. Travel: Willingness to travel frequently within Bengaluru and surrounding areas to meet clients and attend events. Problem-Solving: Ability to think on your feet, adapt to challenges, and creatively engage potential clients. Why Join Us? At Raak Sapphire Pvt Ltd , we are committed to revolutionizing the education landscape with cutting-edge technology. By joining our team, you’ll play a vital role in shaping the future of learning, from robotics and coding to AI-driven solutions. If you’re passionate about education and enjoy hands-on marketing, this is the opportunity for you! Job Types: Full-time, Permanent, Fresher, Internship, Contractual / Temporary, Volunteer Contract length: 6 months Pay: ₹16,000.00 - ₹30,000.00 per month Benefits: Cell phone reimbursement Work Location: In person Expected Start Date: 25/08/2025

DESCRIPTION The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists and Business Intelligence Engineers using rigorous quantitative approaches to ensure high quality data/science products for our customers around the world. We are looking for a Sr.Data Scientist to join our growing Science Team. As Data Scientist, you are able to use a range of science methodologies to solve challenging business problems when the solution is unclear. You will be responsible for building ML models to solve complex business problems and test them in production environment. The scope of role includes defining the charter for the project and proposing solutions which align with org's priorities and production constraints but still create impact. You will achieve this by leveraging strong leadership and communication skills, data science skills and by acquiring domain knowledge pertaining to the delivery operations systems. You will provide ML thought leadership to technical and business leaders, and possess ability to think strategically about business, product, and technical challenges. You will also be expected to contribute to the science community by participating in science reviews and publishing in internal or external ML conferences. Our team solves a broad range of problems that can be scaled across ROW (Rest of the World including countries like India, Australia, Singapore, MENA and LATAM). Here is a glimpse of the problems that this team deals with on a regular basis: Using live package and truck signals to adjust truck capacities in real-time HOTW models for Last Mile Channel Allocation Using LLMs to automate analytical processes and insight generation Ops research to optimize middle mile truck routes Working with global partner science teams to affect Reinforcement Learning based pricing models and estimating Shipments Per Route for $MM savings Deep Learning models to synthesize attributes of addresses Abuse detection models to reduce network losses Key job responsibilities 1. Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes 2. Design, develop, evaluate and deploy, innovative and highly scalable ML/OR models 3. Work closely with other science and engineering teams to drive real-time model implementations 4. Work closely with Ops/Product partners to identify problems and propose machine learning solutions 5. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance 6. Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production 7. Leading projects and mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS 5+ years of data scientist experience Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) Experience with statistical models e.g. multinomial logistic regression Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) Experience working with data engineers and business intelligence engineers collaboratively Demonstrated expertise in a wide range of ML techniques PREFERRED QUALIFICATIONS Experience as a leader and mentor on a data science team Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science Expertise in Reinforcement Learning and Gen AI is preferred Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION Do you have the business savvy and the technical background necessary to help establish Amazon as a key technology platform provider? Amazon Web Services India Pvt Ltd is leading the next paradigm shift in computing and is looking for world-class candidates to join our–FSI Fintech business. As a Fintech Account Leader for AWS India, your responsibilities will include building and driving the strategy to increase adoption, and market penetration in large Fintech accounts to build long-term business and marketing opportunities. The ideal candidate will possess a business development/sales background that enables them to engage at all levels of a customer and partner organization, including C-levels of the business and Tech. You should be a self-starter who is prepared to develop and execute against a coverage plan business objectives. This is a high visibility role needing to engage CXOs of Fintechs as well as leverage internal executives to drive transformational outcomes for large Fintechs in the long term. Key job responsibilities Develop long-term strategic relationships with the C-levels of Business & IT for the given Accounts. Work closely with the Channels team to ensure that AWS India is the partner's preferred cloud computing platform across all service lines. Maintain an accurate forecast and various business reports. Create & articulate compelling value propositions around AWS services. Possess the technical ability to explain (not implement) Cloud Computing, infrastructure solutions (Server, Storage, DC Services) & Internet architectures (firewalls, load balancers, etc). Prepare and give business reviews to the senior management team. Ensure customer satisfaction A day in the life Research and preparation for the day’s customers meetings and calls. Collaborate with Cross functional teams on pitches, solutions in Fintech domain Customer meeting(s) and customer cadence calls Stakeholder mapping Engage stakeholders across business & IT Ensure high standards and maintain SFDC hygiene Ensure timely communication with External and Internal stakeholders Constantly engage and maintain communication with both existing and new customers Manage time between customer engagements, Business development activities and customer issues. About the team AWS Sales, Marketing, and Global Services is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. This team responsible for the Financial Services vertical is chartered to drive revenue, adoption, and growth from enterprise-level customers. The team interacts with leading companies and believes that world-class support is critical to customer success. AWS also partners with a global list of customers that are building mission-critical applications on top of AWS services. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS Master's degree or equivalent - 8 - 12 years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience PREFERRED QUALIFICATIONS Exposure in selling to Enterprises in Southern india Some experience in selling to the Financial Services Industry is preferred but not mandatory Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION About Amazon.com: Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon.com to research and develop technology that improves the lives of shoppers and sellers around the world. Overview of the role The Business Research Analyst will be responsible for Data and Machine learning part of continuous improvement projects across the Selling Partner Return Reduction space. This will require collaboration with Product, Science and Engineering teams. The Research Analyst should be a self-starter who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. The Research Analyst will perform Big data analysis to identify patterns, train model to generate product to product relationship and product to brand & model relationship. The Research Analyst is also expected to continuously improve the ML/LLM solutions in terms of precision & recall, efficiency and scalability. The Research Analyst should be able to write clear and detailed functional specifications based on business requirements. Key job responsibilities Collaborate and propose best in class ML/LLM solutions for business requirements Dive deep to drive product pilots, demonstrate innovation and customer obsession to steer the product roadmap Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques Coordinate design efforts between Sciences and Software teams to deliver optimized solutions Communicate technical concepts to stakeholders at all levels Ability to thrive in an ambiguous, uncertain and fast moving ML/LLMuse case developments Familiar with ML/LLM models and able to work independently. About the team RBS Brand experience (BX) enables WW brands (FBA Sellers and Retail Vendors) with strategic, actionable insights and recommendations to help them grow their business and reduce returns; through recognizing and solving Brands key pain points related to 3 themes: 1) product quality, 2) catalog quality, and 3) selection quality. We do this by: 1) identifying and validating underserved Brand pain points, 2) building proof of concept, solution and capabilities in partnership with Brands, 3) scaling the solution by leveraging tech, 4) launching full scale brand facing solutions to WW brands, and 5) continuously improve solutions through control mechanisms. BASIC QUALIFICATIONS Bachelor's degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) 3+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms Strong hands-on programming skills in Python, SQL. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Strong analytical thinking Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. PREFERRED QUALIFICATIONS Master's degree with specialization in ML, NLP or Computer Vision preferred 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Position Summary: The Consultant Interventional Cardiologist is a senior-level physician specializing in diagnosing and treating cardiovascular diseases using catheter-based procedures and minimally invasive techniques. This role involves providing comprehensive cardiac care, performing interventional procedures, collaborating with multidisciplinary teams, and ensuring evidence-based, patient-centered care. Key Responsibilities:1. Clinical Care & Interventional Procedures Perform diagnostic and therapeutic cardiac catheterizations, including: Coronary angiography Percutaneous coronary interventions (PCI) Primary angioplasty Rotablation IVUS/OCT-guided procedures Structural heart interventions (TAVI, ASD/VSD/PDA device closures, etc.) Manage acute coronary syndromes, heart failure, arrhythmias, and other cardiac emergencies. Conduct pre- and post-procedural patient evaluations. Oversee cardiac ICU and coronary care unit (CCU) rounds as needed. Provide consultation services to inpatients and outpatients. 2. Patient Management & Follow-Up Develop individualized treatment plans for patients with complex cardiovascular conditions. Monitor post-procedure recovery and long-term cardiac rehabilitation. Educate patients and families on cardiac conditions, treatments, and lifestyle modifications. 3. Team Collaboration & Supervision Work closely with cardiac surgeons, radiologists, anesthesiologists, and critical care teams. Supervise junior doctors, residents, and cardiology fellows during procedures and ward rounds. Ensure coordination across departments for comprehensive cardiac care delivery. 4. Quality Assurance & Clinical Governance Ensure adherence to institutional protocols, clinical guidelines, and regulatory standards. Maintain accurate and thorough medical records and procedural documentation. Participate in morbidity and mortality reviews, audits, and continuous quality improvement initiatives. 5. Continuing Medical Education & Research (Optional) Stay updated with the latest developments in interventional cardiology. Attend and present at national and international cardiology conferences. Participate in clinical research, trials, or academic activities (especially in academic hospitals). Qualifications: Essential: MBBS and MD/DNB in Internal Medicine. DM/DNB in Cardiology from a recognized institution. Valid medical license and registration with appropriate medical council. Desirable: Fellowship in Interventional Cardiology (FSCAI, FESC, etc.). 5+ years of independent interventional cardiology experience. Training in advanced structural or peripheral interventions. Qualification - MBBS, MS/MD, DNB Eligibility - As per NMC Norms Speak with employer : 9342175715 / 9131856296 Mail Id : esidiwagar@gmail.com / elevatedsynergyindia@gmail.com Job Type: Full-time Pay: ₹500,000.00 - ₹800,000.00 per month Work Location: In person

DESCRIPTION As a Principal Applied Scientist, you are a trusted part of the technical leadership. You bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization. You are a hands-on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions. You amplify your impact by leading scientific reviews within your organization or at your location. You scrutinize and review experimental design, modelling, verification and other research procedures. You probe assumptions, illuminate pitfalls, and foster shared understanding. You align teams toward coherent strategies. You educate, keeping the scientific community up to date on advanced techniques, state of the art approaches, the latest technologies, and trends. You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads. Key job responsibilities Responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. Develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. Participate in organizational planning, hiring, mentorship and leadership development. Technically ambitious with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance). About the team Want to be part of the team whose mission is to expand Alexa to new countries, languages, devices and cultures? The Alexa International team makes it happen. Our customers are very diverse in where they live, the languages they speak to Alexa, the devices they use and the content that matters most. In turn our problems are diverse and need innovative solutions. Alexa International is at the nexus of all other Alexa teams and features, such as Smart Home, Music, News, ASR (Automatic Speech Recognition), NLU (Natural Language Understanding), Fire TV, Skills etc. We collaborate with hardware and software developers within and outside Amazon to build delightful experience for our customers. We’re working hard, having fun, and making history; come join us! BASIC QUALIFICATIONS PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science 10+ years of combined academic and research experience. Strong publication record in top-tier journals and conferences. Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker. Mentors and trains the research scientist community on complex technical issues. Experience developing software in traditional programming languages (C++, Java, etc..). Excellent written and spoken communication skills PREFERRED QUALIFICATIONS Experience building and deploying innovative machine learning solutions at scale for minimum 10 years. Expert level skills across many Machine Learning methodologies. Published research work in academic conferences or industry circles. Experience delivering complex end-to-end global ML solutions that run at very large scale. Experience working with real-world data sets and building scalable models from big data. Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business, product, and technology very well. This technical leader for machine learning will be an independent thinker who can make convincing, information-based arguments. With a strong bias for action, this individual will work equally well with science, engineering, economics and business teams. This person will have very sound judgment and be able to recruit and develop high calibre talent. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

We are looking for a results-driven Senior Digital Marketing Executive to lead our online marketing efforts. The ideal candidate will have strong expertise in SEO , landing page optimization , and digital campaigns , along with basic graphic and video editing skills to create engaging content for multiple channels. Key Responsibilities: Search Engine Optimization (SEO): Develop and execute SEO strategies to improve organic search rankings and traffic. Conduct keyword research, competitor analysis, and content optimization. Manage on-page, off-page, and technical SEO improvements. Track, analyze, and report SEO performance with actionable insights. Landing Page & Conversion Optimization: Build and optimize high-converting landing pages for campaigns. Collaborate with design and sales teams to improve UX and lead flow. A/B test layouts, CTAs, and messaging for higher conversions. Digital Marketing Campaigns: Plan, execute, and monitor Google Ads, social media ads, and email campaigns. Ensure alignment with overall marketing and business goals. Track ROI and continuously optimize campaigns. Content & Creative: Design basic graphics, banners, and creatives for digital campaigns. Perform simple video editing for ads, reels, and promotional clips. Coordinate with external designers/editors for advanced creative needs. Analytics & Reporting: Use tools like Google Analytics, Search Console, SEMrush/Ahrefs, and HubSpot. Provide weekly/monthly performance reports with insights and recommendations. Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Health insurance Application Question(s): How do you approach keyword research? Which tools do you prefer? What are the top 3 on-page SEO elements you always optimize first? Have you conducted A/B tests? If yes, can you explain one test you ran and the result? Which tools do you use for basic graphic design? Have you edited videos for social media ads or reels? If yes, what software did you use? How do you stay updated with the latest trends in digital marketing and SEO? Experience: SEO: 1 year (Required) Location: Bangalore, Karnataka (Required) Work Location: In person Expected Start Date: 01/09/2025

DESCRIPTION Key Responsibilities: Own and develop advanced substitutability analysis frameworks combining text-based and visual matching capabilities Drive technical improvements to product matching models to enhance accuracy beyond current 79% in structured categories Design category-specific matching criteria, particularly for complex categories like fashion where accuracy is currently at 20% Develop and implement advanced image matching techniques including pattern recognition, style segmentation, and texture analysis Create performance measurement frameworks to evaluate product matching accuracy across different product categories Partner with multiple data and analytics teams to integrate various data signals Provide technical expertise in scaling substitutability analysis across 2000 different product types in multiple markets Technical Requirements: Deep expertise in developing hierarchical matching systems Strong background in image processing and visual similarity algorithms Experience with large-scale data analysis and model performance optimization Ability to work with multiple data sources and complex matching criteria Key job responsibilities Success Metrics: Drive improvement in substitutability accuracy to >70% across all categories Reduce manual analysis time for product matching identification Successfully implement enhanced visual matching capabilities Create scalable solutions for multi-market implementation A day in the life Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics. Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies. Provide on-line reporting and analysis using OBIEE business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Analyze source data systems and drive best practices in source teams. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. Produce comprehensive, usable dataset documentation and metadata. Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers. Evaluate and make decisions around the use of new or existing software products and tools. Mentor junior Business Research Analysts. About the team The RBS-Availability program includes Selection Addition (where new Head-Selections are added based on gaps identified by Selection Monitoring-SM), Buyability (ensuring new HS additions are buyable and recovering established ASINs that became non-buyable), SoROOS (rectify defects for sourceble out-of-stock ASINs ) Glance View Speed (offering ASINs with the best promise speed based on Store/Channel/FC level nuances), Emerging MPs, ASIN Productivity (To have every ASINS actual contribution profit to meet or exceed the estimate). The North-Star of the Availability program is to "Ensure all customer-relevant (HS) ASINs are available in Amazon Stores with guaranteed delivery promise at an optimal speed." To achieve this, we collaborate with SM, SCOT, Retail Selection, Category, and US-ACES to identify overall opportunities, defect drivers, and ingress across forecasting, sourcing, procurability, and availability systems, fixing them through UDE/Tech-based solutions. BASIC QUALIFICATIONS 5+ years of SQL experience Experience programming to extract, transform and clean large (multi-TB) data sets Experience with theory and practice of design of experiments and statistical analysis of results Experience with AWS technologies Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with theory and practice of information retrieval, data science, machine learning and data mining PREFERRED QUALIFICATIONS Experience working directly with business stakeholders to translate between data and business needs Experience managing, analyzing and communicating results to senior leadership Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION About Amazon Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience – Amazon continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from website to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to Amazon to research and develop technology that improves the lives of shoppers and sellers around the world. About the Role - Account Management: As an Account Manager as part of RBS (Retail Business Services) VSP (Vendor Success Program) Team, you will have the exciting opportunity to help shape and deliver on a strategy for managing vendor for Amazon Retail. RBS VSP team is looking for a bright, customer centric, data driven, and creative candidate to join our team. The successful Account Manager is an effective listener, communicator and problem-solver with expertise in process optimizations and systems thinking. You will engage directly with Amazon’s vendors and multiple internal teams to enable Amazon’s vendors growth on Amazon. You will utilize a wide range of negotiation skills and work across major functional areas to drive the performance of vendor partners at Amazon. In this role you will be focused on growing our business with Amazon vendor partners. Also you will look into operational aspects of their business with Amazon, root cause analysis of issues and opportunities affecting the vendor’s business. Please note that you will be expected to specifically work on transactional but business critical activities and have a hands-on approach. Timings will be as per USA shift, 04:00 pm IST to 01:00 am IST Key job responsibilities Manage vendor relationships, negotiate contracts and execute pricing strategies. Identify new opportunities across a large number of brands, develop and execute project plans. Success will be measured by the performance of your task and deliverables on input metrics. BASIC QUALIFICATIONS Experience analyzing data and best practices to assess performance drivers 3+ years of sales or account management experience Excellent written and verbal communication skills to convey key insights from complex analysis in business terms to both internal and external parties PREFERRED QUALIFICATIONS Bachelor's Degree Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV, and Amazon Echo. What will you help us create? Work hard. Have fun. Make history. As a Quality Assurance Engineer, you will be responsible to innovate and drive new Quality initiatives, establish new test frameworks and processes for testing new device and OS, find ways to leverage and scale to deliver without compromising quality and efficiency, establish quality metrics and best practices for the team. You will lead the team by example as a quality leader who is customer obsessed, thinks big and delivers result without compromising the quality. To do this, you will have the most advanced tools at your disposal; however, we expect you to bring new ideas and innovation to build/leverage as needed. You will be responsible for looking to the future and identifying what the team will need to test experiences that were not thought possible today. You will collaborate with team, own and drive the quality of new products and SW releases. Key job responsibilities Be the SPOC for a particular component Own the Test Automation journey Push the code to mainline Handle the weekly releases Scrub the jiras , define different QA processes BASIC QUALIFICATIONS 4+ years of quality assurance engineering experience Experience in manual testing Experience in automation testing Experience scripting or coding Experience as QA lead on medium to large sized projects PREFERRED QUALIFICATIONS Experience with at least one automated test framework like Selenium or Appium Experience in gathering test requirements to create detailed test plans and defining quality metrics to measure product quality Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

JOB DESCRIPTION The primary responsibilities include: Sales, account management, and business retention for CoreIP services Maintain and update website, manage social media pages of the company Attend IPR conferences in India and abroad, and effectively represent the company Willing to conduct seminars, workshops and orientation programs to elicit interest towards the services of the company Willingness to work extended hours, travel to meet client requirements. COMPETENCIES: Excellent communication skills, both verbal and written. Lead generation, sales presentations and account support for the applicable product segment. Self-starter, meticulous with strong analytical and problem-solving skills. Contribute to writing articles on behalf of the company in various journals & magazines would be an added benefit. Good internet knowledge and should be able to do internet research and generate data Proficiency in MS Excel, MS Word, MS PowerPoint and other MS office applications. Good interpersonal and client management skills. QUALIFICATIONS: Graduate with minimum of 10 years of experience in sales Post Graduate / MBA with minimum of 5 years of experience in sales LOCATION: Bangalore & Delhi

DESCRIPTION AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? At AWS ProServe India LLP (“ProServe India”), we are helping large enterprises build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. Our Professional Services organization works together with our internal customers to address business needs of AWS customers using AI. AWS Professional Services is a unique consulting team in ProServe India. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML or DL models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. If you do not live in a market where we have an open Data Scientist position, please feel free to apply. Our Data Scientists can live in any location where we have a Professional Service office. Key job responsibilities A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Major responsibilities include: Understand the internal customer’s business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances . Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models. Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models. Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data. Work with our Professional Services DevOps consultants to help our internal customers operationalize models after they are built. Assist internal customers with identifying model drift and retraining models. Research and implement novel ML and DL approaches, including using FPGA. This role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi/Pune. About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS 7+ years of professional or military experience, including a Bachelor's degree. 7+ years managing complex, large-scale projects with internal or external customers. Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. Skilled in using Deep Learning frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, Amazon Machine Learning) to build models for internal customers. PREFERRED QUALIFICATIONS 7+ years of IT platform implementation in a technical and analytical role experience. Experience in consulting, design and implementation of serverless distributed solutions. Experienced in databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and managing complex, large-scale customer-facing projects. Experienced as a technical specialist in design and architecture, with expertise in cloud-based solutions (AWS or equivalent), systems, networks, and operating systems. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Assess, diagnose, and manage patients with acute and chronic pain conditions. Develop individualized pain management plans using medication, interventions, and therapy. Perform pain relief procedures such as nerve blocks, injections, or other interventional techniques. Collaborate with physiotherapists, psychologists, and other healthcare professionals for holistic care. Monitor patient progress, adjust treatment plans, and ensure effective pain control. Educate patients and families about pain management strategies and lifestyle modifications. Maintain accurate medical records and ensure compliance with hospital protocols and ethical standards. Stay updated with the latest research and advancements in pain management. Must be Fluent in Kannada Job Type: Full-time Work Location: In person