Roles and Responsibilities:
- Perform day-to-day management of campaigns, including oversight of bid recommendations, execution details, and budgets.
- Conduct thorough keyword analysis by: creating keyword lists, analyzing search volume, and making recommendations.
- Experiment with new platforms and channels.
- Ensure ads are creative and displayed appropriately.
- Monitor costs and return on investment (ROI).
- End to End campaign management & setup.
- Continual testing and optimization.
Skills and Qualifications:
- Bachelor’s degree required.
- 1-2 years of experience in Google Campaigns.
- Relevant previous experience and success within a similar PPC or Digital Marketing focused role.
- Google Ads and Google Analytics certified.
- Current knowledge of Google Analytics and other digital marketing software and tools.
- Strong analytical ability and experience to work with a variety of data sources.
- Strong Excel experience.
- Ability to communicate effectively.
About Voizworks
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Years of Experience:3-7 Years
Notice:Immediate joiners
What are we looking for?
- BTech, MTech in Computer Science or a related technical discipline (or equivalent). Or high technical acumen and rich technical experience.
- Experience of 3-7 years building Android Applications.
- Strong expertise on building consumer-facing Android Apps with either Java or Kotlin, with strong programming constructs.
- Worked on building two or more Android apps
- Experience of managing E2E life cycle of Android Apps including play store deployments and post-deployment support.
- Experience of working with ReactNative would be a plus.
- The ability to independently lead problem-solving and build elegant, maintainable solutions to complex problems.
- Experience mentoring junior engineers
- Prior experience in working with Agile software methodologies ( Scrum, Kanban), TDD and Continuous
Intégration(CI/CD) a plus.
- Track record of building and delivering mission critical, 24x7 production software systems
Position: Manager/Head- Data Scientist/Machine Learning Engineer
- Algorithm Development: Develop cutting-edge algorithms and predictive models to enhance customer experience, optimize inventory management, and drive sales growth
- AI/ML Model Building: Utilize expertise in data science and machine learning to create scalable AI models specifically tailored for both online platforms and brick-and-mortar stores, aiming to improve operational efficiency and customer engagement.
- Ecommerce Optimization: Collaborate with cross-functional teams to implement data-driven solutions for personalized recommendations, demand forecasting, and dynamic pricing strategies to drive online sales and enhance customer satisfaction.
- Deep Learning & Image Recognition: Leverage advanced techniques in deep learning and image recognition to develop innovative solutions for product categorization, visual search, and inventory tracking, optimizing product discovery and inventory management.
- Python Development: Proficiency in Python programming is essential for designing, implementing, and maintaining robust and scalable machine learning pipelines and models, ensuring efficient deployment and integration into existing systems.
Qualifications and Experience:
- Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related fields.
- 3 to 4 years of hands-on experience in data science, machine learning, and deep learning, preferably within the ecommerce or retail sector.
- Proven track record of successful implementation of AI/ML models with tangible business impact.
- Strong proficiency in Python, along with familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience working with image data, including feature extraction, object detection, and classification.
- Excellent problem-solving skills, ability to work independently, and communicate complex technical concepts effectively to diverse stakeholders.
JOB SKILLS & QUALIFICATIONS
WHAT YOU'LL DO
- Design model serving solutions and develop machine learning-based applications. services, and APIs so as to productionise machine learning models.
- Set and maintain engineering standards while to grow and go far.
- Partner with the Data Scientists (those who actually build, train and evaluate ML models) to provide an end-to-end solution for machine learning-based projects.
- Foster the technological evolution of services and improve their end-to-end quality attributes.
- Be committed to Continuous Integration and Continuous Deployment.
Preferred Skills
- Familiarity with the engineering aspects of some of popular machine learning practices, libraries, and platforms (e.g. MLflow, Kubeflow, Mleap, Michelangelo, Feast, HopsWorks, MetaFlow, Zipline, Databricks, Spark, MLlib, PyTorch, TensorFlow, and Scikit-learn among others).
- Comfortable dealing with trade-offs project delivery and quality, especially those involving latency, throughput, and http://transactions.proven/">transactions.
- Experience Continuous Integration & Continuous Deployment processes and platforms, software design patterns and APIs.
- A person that enjoys staying on top of all the best practices and tools of modern software engineering, while being a advocate of code quality and continuous improvement.
- Someone interested in large-scale systems and passionate about solving complex problems while being open and comfortable with changes in the tech stack the teams use.
-
3+ years of Experience in software Design and development and familiar with technologies - Java, Java-J2EE, Spring Boot, Hibernate, Ajax, REST API, Micro services etc.
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Working knowledge of JVM internals
-
Working knowledge of any database (MySQL or HSQLDB)
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Working knowledge of No-SQL database (Mongo or Dynamo DB)
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Working experience with messaging (JMS/RabbitMQ)
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R & D on new advanced cloud-based technologies in a test-driven agile development.
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Knowledge in designing and architecting systems with high scalability and performance requirements.
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Ability to understand infrastructure for performance evaluation and reporting of cloud-based services, namely AWS
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knowledge of key AWS services like EC2, S3, Lambda, CloudWatch etc.
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Certification on AWS Fundamendals
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Excellent communication skills
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ability to effectively articulate technical challenges and solutions
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skilled in interfacing with internal and external technical resources
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Good in debugging problems and mentoring teams on technical front
- 1-3 years of experience or training received as a Software Tester for web and mobile applications or similar roles. #software testing
- Good knowledge of Test case preparation.
- Good written and verbal communication skills.
- Strong analytical and documentation skills to present findings to team members.
- Analyze client requirements for validity and feasibility
- Good logical thinking
- Execute all levels of testing - Software Tester - Manual testing
- Detect and track defects and inconsistencies
We are looking for a talented Fullstack Developer with 2-5 years of experience to join our engineering team. The ideal candidate will have experience with MongoDB, Express, React, and Node. As a Fullstack Developer, you will be responsible for developing and maintaining our web-based applications and services.
Responsibilities:
- Work collaboratively with the product and engineering teams to develop high-quality web-based applications and services.
- Develop and maintain RESTful APIs using Node.js and Express.
- Design and develop the front-end user interface using React.
- Create and maintain MongoDB databases and related services.
- Develop and maintain automated test cases for both front-end and back-end applications.
- Participate in code reviews and ensure code quality.
- Stay up-to-date with emerging trends and technologies in web development and AI.
Qualifications:
- 2-5 years of experience as a Fullstack Developer with expertise in MongoDB, Express, React, and Node.
- Experience in developing RESTful APIs using Node.js and Express.
- Experience in front-end development using React.
- Experience in database development using MongoDB.
- Strong knowledge of HTML, CSS, and JavaScript.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
- Experience in automated testing using Jest, Cypress, or other similar frameworks is a plus.
- Experience in AWS or other cloud technologies is a plus.
- Knowledge of AI and machine learning concepts is a plus.
We offer a competitive salary, flexible working hours, and a collaborative work environment. If you are passionate about AI & how teams collaborate, and want to work in a fast-paced, innovative environment, then we want to hear from you.
Role: ODI Developer
Location: Hyderabad (Initially remote)
Experience: 5-8 Years
Technovert is not your typical IT services firm. We have to credit two of our successful products generating $2M+ in licensing/SaaS revenues which is rare in the industry.
We are Obsessed with our love for technology and the infinite possibilities it can create for making this world a better place. Our clients find us at our best when we are challenged with their toughest of problems and we love chasing the problems. It thrills us and motivates us to deliver more. Our global delivery model has earned the trust and reputation of being a partner of choice.
We have a strong heritage built on great people who put customers first and deliver exceptional results with no surprises - every time. We partner with you to understand the interconnection of user experience, business goals, and information technology. It's the optimal fusing of these three drivers that deliver.
Must have:
- Experience with DWH Implementation experience, with experience in developing ETL processes - ETL control tables, error logging, auditing, data quality, etc.
- Responsible for creation of ELT maps, Migrations into different environments, Maintenance and Monitoring of the infrastructure, working with DBA's as well as creation of new reports to assist executive and managerial levels in analyzing the business needs to target the customers.
- Should be able to implement reusability, parameterization, workflow design, etc.
- Expertise in the Oracle ODI toolset and OAC & knowledge of ODI Master and work repository &data modeling and ETL design.
- Used ODI Topology Manager to create connections to various technologies such as Oracle, SQL Server, Flat files, XML, etc.
- Using ODI mappings, error handling, automation using ODI, Load plans, Migration of Objects.
- Ability to design ETL unit test cases and debug ETL Mappings, expertise in developing Load Plans, Scheduling Jobs.
- Integrate ODI with multiple Sources/targets.
Nice to have:
- Exposure towards Oracle Cloud Infrastructure (OCI) is preferable.
- Knowledge in Oracle Analytics Cloud to Explore data through visualizations, load, and model data.
- Hands-on experience of ODI 12c would be an added advantage.
Qualification:
- Overall 3+ years of experience in Oracle Data Integrator (ODI) and Oracle Data Integrator Cloud Service (ODICS).
- Experience in designing and implementing the E-LT architecture that is required to build a data warehouse, including source-to-staging area, staging-to-target area, data transformations, and EL-T process flows.
- Must be well versed and hands-on in using and customizing Knowledge Modules (KM) and experience of performance tuning of mappings.
- Must be self-starting, have strong attention to detail and accuracy, and able to fill multiple roles within the Oracle environment.
- Should be good with Oracle/SQL and should have a good understanding of DDL Deployments.
We need an experienced engineer who can lead our existing team and product.
Job description
- Must possess strong analytical skills to be able to break down complex problems into smaller atomic units of work.
- Must be able to develop application modules independently and fix any bugs promptly.
- Do unit testing for the development work carried out.
- Act as a mentor to the junior developers and provide technical guidance.
- Troubleshoot problems and provide solutions.
- Conduct and participate in project planning & scheduling, design discussions, and provide assistance during testing.
- Willing to learn and adopt new technologies in a short period of time as required by the project.
- Will require to produce technical documentation as the requirements of the project.
- Remain up to date with the modern industry practices involved in designing & developing high-quality software.
- Should be able to do performance engineering and identify and fix bottlenecks
Job Requirements
- Good knowledge of Node.js, Express.js, React
- Need clear understanding of JavaScript and Typescript.
- Sound understanding of MVC and design patterns.
- Excellent grasp of data structures and designing and developing ReST APIs.
- Good skills of NoSQL (MongoDB or equivalent).
- Must have at least 3 years’ experience in MEAN/MERN Stack development.
- Experience in developing responsive web applications.
- Good communication skills.
- Sound understanding of Agile and Scrum methodologies and ability to participate in local and remote Sprints.
- Good grasp of UI / UX concepts.
- Should have experience in using Git & VSCode.
- Knowledge of AWS and Postman will be considered positively.