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We are hiring a talented B2B Paid Marketing Specialist with lead generation expertise in the IT industry. Join our team to develop and execute paid marketing campaigns, driving high-quality leads and maximizing ROI. Your role is crucial in generating leads for our services and contributing to business growth.
Key Responsibilities:
Develop and execute B2B paid marketing campaigns across platforms like Google Ads, LinkedIn Ads, Bing Ads, and others, focusing on lead generation.
Create compelling ad copies and visuals for lead conversions.
Optimize campaigns based on performance metrics like CPL, conversion rates, and ROAS.
Implement and test lead generation tactics such as forms, landing pages, and CTAs.
Monitor, analyze, and report on campaign performance, providing insights for improvement.
Stay updated on industry trends and best practices in lead generation for IT services.
Implement tracking mechanisms for accurate lead attribution.
Candidate Profile:
5+ years of hands-on experience in paid marketing, specializing in generating B2B leads.
Proven track record of generating high-quality leads through paid marketing campaigns.
In-depth understanding of performance marketing, conversion metrics, and online customer acquisition in the IT services sector.
Strong knowledge of Google Ads, Bing Ads, LinkedIn Ads, and other paid marketing platforms.
Proficiency in lead generation tactics, including forms, landing pages, and CTAs.
Solid analytical skills for data interpretation and campaign optimization.
Experience with Google Analytics (GA4) and other analytic tools.
Excellent communication, time-management, and problem-solving skills.
Familiarity with SEO is a plus.
Education:
UG: Any Graduate
PG: Any Postgraduate
AI Full Stack Engineer
Pune - Kharadi
2024-01-09
Job Summary:
We seek a skilled Generative AI Full Stack Engineer to join our team. In this role, you will be responsible for designing, developing, and fine-tuning large language models and other generative AI systems. You will leverage your expertise in prompt engineering, model fine-tuning, building data pipelines for fine-tuning the model, and cloud-native application development to create innovative solutions that drive business value.
Roles and Responsibilities:
Design and implement strategies for prompt engineering and model fine-tuning to optimize the performance of large language models and other generative AI systems.
Independently design and build cloud-native applications and pipelines for training, deploying, and serving generative AI models, utilizing cloud platforms like AWS or Azure.
Integrate generative AI capabilities and other AI solutions into existing applications and workflows, enabling enhanced user experiences and automation.
Leverage cloud services such as S3, SNS, queuing systems, and databases to build scalable and efficient AI solutions.
Contribute to UI development efforts, enabling intuitive and user-friendly interfaces for interacting with generative AI systems.
Collaborate with cross-functional teams, including data scientists, machine learning engineers, and product managers, to understand and translate business requirements into technical solutions.
Participate in code reviews, ensure adherence to coding standards, and promote best practices in software development and cloud-native application design.
Mentor, guide and provide solutions to junior developers.
Skills and Qualifications:
Minimum of 5 years of experience in IT, with at least 3 years of hands-on experience with Python.
Strong programming background in Python, with experience in developing cloud-native applications and integrating with cloud services like AWS or Azure.
Proven expertise in prompt engineering and fine-tuning large language models or other generative AI systems.
Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Hugging Face.
Experience with cloud platforms and services, including S3, SNS, queuing systems, and databases.
Familiarity with UI development frameworks and technologies (e.g., React, Angular, Vue.js).
Ability to design and build generative AI and other AI solutions independently.
Ability to integrate generative AI and other AI solutions into existing systems and applications.
Strong problem-solving and analytical skills, able to break down complex problems and develop efficient solutions.
Excellent communication and collaboration abilities, with the ability to work effectively in cross-functional teams
ASO Specialist
Pune - Kharadi
2024-04-18
Job Description:
We are seeking a highly skilled and motivated App Store Optimization (ASO) Expert to join our marketing team. The ASO Expert will be responsible for optimizing mobile applications to improve visibility and performance on Apple Store & Play Store. The ideal candidate will have a strong understanding of mobile ecosystems, market trends, and the analytical skills required to drive continuous improvement in app store rankings and organic installs.
Key Responsibilities:
Conduct thorough keyword research to identify relevant and high-performing keywords for our mobile applications.
Stay updated on industry trends and competitor activities to refine keyword strategies.
Optimize app titles, descriptions, and other metadata elements to enhance visibility and relevance on app store search results.
Collaborate with the creative team to ensure app icons, screenshots, and videos align with ASO strategies.
Track and analyze key performance metrics, including app store rankings, impressions, and conversion rates.
Utilize analytics tools to gain insights into user behavior and adjust strategies accordingly.
Conduct regular competitive analyses to identify strengths, weaknesses, and opportunities in the market.
Implement strategies to differentiate our apps and capitalize on market gaps.
Plan and execute A/B tests to evaluate the impact of changes on conversion rates and user engagement.
Work closely with cross-functional teams, including marketing, product development, and data analytics, to align ASO strategies with overall business objectives.
Communicate effectively with external partners, such as app store representatives, to stay informed about industry updates and best practices.
Qualifications:
Proven experience of (ASO) App Store Optimization.
In-depth knowledge of mobile ecosystems, app store algorithms, and industry best practices.
Strong analytical skills with proficiency in using analytics tools.
Excellent communication and collaboration skills.
Creative thinking and problem-solving abilities.
Up-to-date with the latest trends in mobile marketing and ASO.
Experience with ASO tools and platforms.
Knowledge of app store advertising and promotion strategies.
Familiarity with UX/UI principles and their impact on ASO.
Role: ASO Specialist
Department: Marketing & Communication
Employment Type: Full Time, Permanent
Role Category: Digital Marketing
Education: UG: Any Graduate
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