B. Tech or BE (4 years bachelor degree)

Adobe Target expert

Key Responsibilities:
Adobe Target Implementation and Management
• Implement and maintain Adobe Target solutions for website and mobile platforms.
• Configure and manage A/B tests, multivariate tests, auto-allocation tests, and personalized
experiences.
• Integrate Adobe Target with Adobe Experience Cloud, Adobe Experience Platform, and third-party
solutions.
• Develop personalization strategies using customer data and behavior analytics.
Technical Expertise
• Hands-on experience in JavaScript, HTML, CSS, HTTP, and XML configuration.
• Debug and troubleshoot technical issues, including configuration and integration challenges.
• Support and troubleshoot test setups and deliver custom site experiences.
Collaboration and Strategy
• Partner with digital marketing teams to define and execute targeted campaigns.
• Work with cross-functional teams (developers, designers, marketers) to assess the technical
feasibility of tests and experiences.
• Collaborate with web analytics teams to track, analyze, and report on performance metrics.
• Align with user experience designers to ensure consistency with the design system and branding.
Optimization and Analysis
• Develop and execute a roadmap for ongoing optimization and personalization efforts.
• Analyze test results and provide actionable recommendations to optimize website/app experiences
• Stay updated on Adobe Target features and industry best practices to drive innovation.

Qualifications:
• Education: Bachelor’s degree (B.Tech/BE) mandatory; Master’s optional.
• Experience:
5+ years of overall experience with minimum of 3 years’ experience working with Adobe Target
for A/B testing and personalization.
Proven track record of delivering measurable results through personalization strategies.
Experience with Single Page Application (SPA) frameworks, mobile, and email
implementations.
Proficiency in web analytics tools such as Adobe Analytics or Google Analytics.
• Technical Skills:
Expertise in JavaScript, HTML, CSS, HTTP, XML, and tools like Postman.
Familiarity with Adobe Experience Platform tools like CDP, AJO, or CJA is a plus.
• Certifications: Adobe Target certification is highly desirable.
• Soft Skills:
Strong analytical and problem-solving abilities.
Excellent communication and presentation skills.
Strong organizational and project management skills.
• Preferred Skills
Hands-on experience with personalization for mobile apps and email campaigns.
Experience in managing large-scale optimization projects across multiple platforms.
Familiarity with developing and executing personalization roadmaps.

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Adobe Journey Optimizer Specialist

Responsibilities
We are seeking a skilled Principal Analyst experienced in Adobe Journey Optimizer to join our team in a Solution
Consulting role. This position involves hands-on solution implementation, supporting clients in adopting the Adobe
Experience Cloud to enable business transformation.
Key Responsibilities:
1. Campaign Development and Implementation
• Develop, test, and implement Adobe Journey Optimizer (AJO) campaigns and workflows based on business
requirements and marketing objectives.
• Configure and test multi-touch campaigns to ensure accurate tracking, targeting, and messaging.
• Develop and code email templates using HTML, CSS Modules, and JavaScript.
2. Platform Configuration and Integration
• Implement and configure AJO features such as journey orchestration, triggers, automations, actions,
messages, and offers.
• Create AJO events, delegate email subdomains, and set up IP warming strategies, IP pools, and channel
surfaces.
• Build data models and configure data schemas in Adobe Experience Platform (AEP) to ensure proper
mapping of classes, field groups, identities, and attributes.
• Leverage AEP APIs and SDKs to stream data from different application connectors.
3. Solution Design and Delivery
• Collaborate with clients to understand business objectives and design solutions using AEP and AJO to meet
their needs.
• Implement data ingestion, data modeling, segmentation, and personalization in AJO.
• Design custom workflows, validation rules, and automated alerts for efficient marketing processes.
4. Data Management and Quality Assurance
• Apply data quality rules, validate data quality, and ensure proper data synchronization.
• Provide guidance on best practices for data classification, retention, and privacy.
5. Troubleshooting and Support
• Diagnose and resolve technical issues related to AEP and AJO, including data integration and system
errors.
• Perform proactive problem diagnosis and collaborate with cross-functional teams, such as developers and
data engineers, to ensure project success.
6. Knowledge Sharing and Mentorship
• Share expertise with team members and provide guidance to junior team members.
• Participate in code reviews, testing, and deployment activities.

Qualifications:
• Education: Bachelor’s degree (B.Tech/BE) mandatory; Master’s optional.
• Experience: 5+ years of overall experience with minimum of 2 years’ experience working with Adobe Journey
Optimizer (AJO).
• Technical Expertise
o Hands-on experience with Adobe Journey Optimizer (AJO) and related Adobe Experience Cloud
platforms.
o Proficiency in developing campaigns, workflows, and leveraging AJO APIs and application
knowledge.
o Strong understanding of data management, segmentation, personalization, and automation
.

• Skills and Knowledge
o Ability to develop SQL queries for data management tasks.
o Experience with responsive website design and online marketing, including email, mobile, and social
channels.
o Understanding of the marketing lifecycle and sales funnel stages.
o Expertise in creating and automating customer journeys across products and services.

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Senior Principal Analyst – Data Science (Gen AI)

Key Responsibilities:

• Apply software and AI engineering patterns and principles to design, develop, test, integrate, maintain and
troubleshoot complex and varied Generative AI software solutions and incorporate security practices in newly
developed and maintained applications.
• Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment
with overall business goals.
• Conduct research to stay up to date with the latest advancements in generative AI, machine learning, and deep
learning techniques and identify opportunities to integrate them into our products and services, optimizing
existing generative AI models and RAG for improved performance, scalability, and efficiency, developing and
maintaining pipelines and RAG solutions including data preprocessing, prompt engineering, benchmarking and
fine-tuning.
• Develop clear and concise documentation, including technical specifications, user guides and presentations, to
communicate complex AI concepts to both technical and non-technical stakeholders.
• Independently handle complex issues with minimal supervision, while escalating only the most complex issues
to appropriate staff

Qualifications:
• Bachelor’s degree (B. Tech/B.E.) or master’s degree (M. Tech/M.E.) in Computer Science, Information
Technology, or a related field.
• Minimum of 8 years of related AI/ML work experience
• You are proficient in Python and have experience with machine learning libraries and frameworks. Proficient in
Python, TensorFlow, PyTorch, and other relevant AI/ML libraries and frameworks.

• NLP & LLM Expertise: Strong experience (4+) specifically with NLP applications and LLMs (such as GPT, BERT,
etc.), including model training, fine-tuning, and deploying at scale.
• Cloud: Hands-on experience with cloud services (AWS, GCP, or Azure) for AI/ML deployment.
• Have a deep understanding of industry leading Foundation Model capabilities and its application.
• 2+ years of experience with implementing information search and retrieval at scale (RAG applications),
using a range of solutions ranging from keyword search to semantic search using embeddings.
• You are familiar with cloud-based Generative AI platforms and services
• Full stack software engineering experience to build products using Foundation Models
• Confirmed experience architecting applications, databases, services or integrations

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Senior Principal Analyst-AI Engineering

Responsibilities

We are seeking a highly skilled and motivated Senior Principal Analyst to join our team. The ideal candidate will
possess a strong technical background with expertise in various programming languages and data technologies,
Data Science and Artificial Intelligence coupled with exceptional business acumen and communication skills. As a
Senior Principal Analyst, you will be responsible for leadingtechnical initiatives, designing innovative solutions, and
providing expert consultation to our clients.

Key Responsibilities:
• Develop and implement machine learning models (classification, regression) using advanced techniques.
• Select features, build, and optimize classifiers and regressors using traditional ML methods such as decision
trees, random forests, and gradient boosting.
• Perform data pre-processing, including data cleaning and transformation for analysis.
• Leverage statistical methods to analyze datasets, perform hypothesis testing, and implement predictive models.
• Lead end-to-end model development lifecycle: from data wrangling to deployment.
• Mentor junior data scientists and guide them in the application of machine learning algorithms.
• Collaborate with business stakeholders to translate their needs into actionable data-driven solutions.
Technical Skills:
• Advanced proficiency in Python and libraries such as scikit-learn and XGBoost.
• Strong understanding of ML algorithms (SVM, KNN, Naive Bayes) and statistical techniques (regression,
clustering, time-series analysis).
• Expertise in model validation and evaluation techniques (cross-validation, confusion matrix, AUC-ROC).
• Experience with data visualization tools (Tableau, Power BI) and SQL for data extraction.
• Familiarity with cloud environments (AWS, GCP).
Qualifications:
• Bachelor’s or master’s degree in computer science, statistics, or related fields.
• 8+ years of experience in building and deploying traditional machine learning models.

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