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data scientist-artificial intelligence

data scientist

Aditi India

<div>
 
 
 
 
 Summary:
 
 
 You would get chance to design and implement scalable solutions to optimize fraud detection systems, spanning model development, feature engineering, and rule-based systems. You will collaborate closely with cross-functional teams, including data scientists, engineers, and product managers, to ensure our platform sets a new global standard for efficacy and innovation.
 
 You will address critical business challenges, develop advanced automation frameworks, and integrate cutting-edge machine learning techniques to enhance decision-making capabilities. By joining us, you will not only contribute to fraud detection efforts but leave a lasting impact on the financial security of millions of users around the globe.
 
 &nbsp;
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 
 
 Analyze and interpret complex data sets to derive actionable insights and inform decision-making.
 
 
 </li>
 <li>
 
 
 Perform the statistical analysis on the feature transformation and business impact analytics
 
 
 </li>
 <li>
 
 
 Standardize rules and decision processes while enabling dynamic rule updates and analytics within the fraud detection platform.
 
 
 </li>
 <li>
 
 
 Collaborate across multidisciplinary teams in engineering, product development, and data science to scale solutions globally.
 
 
 </li>
 </ul>
 
 
 &nbsp;
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 
 
 At least 6 years above
 
 
 </li>
 <li>
 
 
 MS above
 
 
 </li>
 <li>
 
 
 STEM only
 
 
 </li>
 <li>
 
 
 Big Query, Python
 
 
 </li>
 <li>
 
 
 Understand the production systems architect overview
 
 
 </li>
 </ul>
 
 
 &nbsp;
 
 #AditiIndia
 
 #25-23291
 
 
 
</div>

Data Scientist

<div>
 
 Introduction
 
 
 
 IBM CIO Technology Platform Transformation
 
 
 The IBM CIO Technology Platform Transformation team plays a crucial role in modernizing and optimizing IBM's technology infrastructure and platforms. The team aims to power AI-enabled experiences through AI-first technology platforms that enable and streamline existing processes, enhance security, and improve user experience by leveraging cutting-edge technologies such as artificial intelligence, machine learning, and cloud computing.
 
 
 As part of IBM's CIO TPT team, we will contribute to transformative projects that redefine enterprise operations using AI. We will directly influence productivity, user experience, and strategic decision-making across IBM.
 
 
 
 Some Of The Key Responsibilities Of This Group Include
 
 
 
 <ul>
 <li>
 Driving the adoption of emerging technologies to optimize and automate various business functions, keeping an AI-first approach with a digital experience.
 </li>
 <li>
 Enable best in class IT with enhanced cybersecurity measures to protect sensitive information and maintain regulatory compliance.
 </li>
 <li>
 Modernizing legacy systems and integrating disparate applications to improve interoperability and reduce technical debt.
 </li>
 <li>
 Collaborating with other departments and teams to align technology efforts with broader corporate objectives.
 </li>
 <li>
 Providing guidance and expertise on technology trends, best practices, and standards.
 
 
 </li>
 </ul>
 This team comprises professionals with diverse backgrounds in software engineering, data science, network architecture, and security. By fostering a culture of innovation and continuous improvement, the team strives to achieve its mission of making IBM the most productive company in the world.
 
 
 
 Role Overview
 
 
 
 
 Your role and responsibilities
 
 
 
 As an AI Engineer/SW Developer, you will be in a unique position to combine your strategic thinking with your technical skills in AI, machine learning, and data analytics. You will apply your skills to help implement data-driven solutions that align with business goals. You will steer enterprise projects that improve decision-making, solve complex problems, and drive business growth. This role involves working with team members and stakeholders to translate data insights into actionable recommendations that deliver meaningful business impact.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Implement AI, Data Science, and Technical Execution:
 </li>
 <li>
 Support the design, implementation and optimization of AI-driven strategies per business stakeholder requirements.
 </li>
 <li>
 Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights.
 </li>
 <li>
 Apply GenAI, traditional AI, ML, NLP, computer vision, or predictive analytics where applicable.
 </li>
 <li>
 Collect, clean, and preprocess structured and unstructured datasets.
 </li>
 <li>
 Help refine data-driven methodologies for transformation projects.
 </li>
 <li>
 Learn and utilize cloud platforms to ensure the scalability of AI solutions.
 </li>
 <li>
 Leverage reusable assets and apply IBM standards for data science and development.
 </li>
 <li>
 Apply ML Ops and AI ethics.
 </li>
 <li>
 Strategic Planning &amp; Execution
 </li>
 <li>
 Translate business requirements into technical strategies.
 </li>
 <li>
 Ensure alignment to stakeholders&rsquo; strategic direction and tactical needs.
 </li>
 <li>
 Apply business acumen to analyze business problems and develop solutions.
 </li>
 <li>
 Collaborate with stakeholders and team to prioritize work.
 </li>
 <li>
 Project Management and Delivering Business Outcomes:
 </li>
 <li>
 Manage and contribute to various stages of AI and data science projects, from data exploration to model development to solution implementation and deployment.
 </li>
 <li>
 Use agile strategies to manage and execute work.
 </li>
 <li>
 Monitor project timelines and help resolve technical challenges.
 </li>
 <li>
 Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs.
 </li>
 <li>
 Communication and Collaboration:
 </li>
 <li>
 Communicate regularly and present findings to collaborators and stakeholders, including technical and non-technical audiences.
 </li>
 <li>
 Create compelling data visualizations and dashboards.
 </li>
 <li>
 Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 
 Required technical and professional expertise
 
 
 
 Hands-on Experience with AI/ML technologies and statistical modelling through coursework, projects, or past internships or full-time positions. Participation in AI/Data-related summits will be an added advantage ( eg. Kaggle/Hackathons)
 
 
 <ul>
 <li>
 Experience with prompt engineering or fine-tuning LLMs.
 </li>
 <li>
 Familiarity with tools like Lang Chain, Hugging Face Transformers, or OpenAI APIs.
 </li>
 <li>
 Understanding of model evaluation metrics specific to LLMs
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Proficiency in SQL and Python for performing data analysis and developing machine learning models.
 </li>
 <li>
 Experience and/or coursework in statistics, machine learning, generative and traditional AI.
 </li>
 <li>
 Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch.
 </li>
 <li>
 Familiarity with cloud-based platforms and data processing frameworks.
 </li>
 <li>
 Understanding of large language models (LLMs).
 </li>
 <li>
 Familiarity with object-oriented programming.
 </li>
 <li>
 Experience and/or coursework with common Python libraries used by data scientists (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn, etc.)
 </li>
 <li>
 Knowledge of APIs, Docker, Flask, or model serving technologies
 </li>
 <li>
 Experience with tools like Jupyter, Git, or cloud platforms (AWS, Azure, IBM Cloud)
 
 
 </li>
 </ul>
 
 Strategic And Analytical Skills
 
 
 
 <ul>
 <li>
 Strategic thinking and business acumen.
 </li>
 <li>
 Strong problem-solving abilities and eagerness to learn.
 </li>
 <li>
 Ability to work with datasets and derive insights.
 </li>
 <li>
 Attention to detail.
 
 
 </li>
 </ul>
 
 Communications And Soft Skills
 
 
 
 <ul>
 <li>
 Excellent communication skills, with the ability to explain technical concepts clearly.
 </li>
 <li>
 Independent and team oriented.
 </li>
 <li>
 Understands AI Ethics principles.
 </li>
 <li>
 Works openly and inclusively.
 </li>
 <li>
 Adaptable to fast-paced environments.
 </li>
 <li>
 Enthusiasm for learning and applying new technologies.
 </li>
 <li>
 Growth mindset.
 </li>
 <li>
 Ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment.
 </li>
 </ul>
</div>

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 An AI Data Scientist at IBM is not just a job title - it&rsquo;s a mindset. You&rsquo;ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients.
 
 
 We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable.
 
 
 Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive.
 
 
 
 Day-to-Day Duties
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
 </li>
 <li>
 Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
 </li>
 <li>
 Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
 </li>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) * Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
 </li>
 <li>
 Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges.
 </li>
 <li>
 Experience in python and pyspark will be added advantage
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.
 </li>
 <li>
 Strong track record in scientific publications or open-source communities
 </li>
 <li>
 Experience in full AI project lifecycle, from research and prototyping to deployment in production environments
 </li>
 </ul>
</div>

Data Scientist-Artificial Intelligence

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
 </li>
 <li>
 Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
 </li>
 <li>
 In this role, your responsibilities may include:
 </li>
 <li>
 Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
 </li>
 <li>
 Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another
 </li>
 <li>
 Document solution architectures, design decisions, implementation details, and lessons learned.
 </li>
 <li>
 Stay up to date with the latest trends and advancements in AI, foundation models, and large language models.
 </li>
 <li>
 Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation leveraging LLM capabilities would be a Big plus
 </li>
 <li>
 Demonstrate a growth mindset to understand clients' business processes and challenges
 </li>
 </ul>
</div>

Data Scientist-Advanced Analytics

Property Finder

<div>
 
 
 DUBAI BASED ROLE.
 
 Relocation would be required but with highly competitive, tax free salary package.
 
 
 
 
 
 
 
 
 
 Company Profil
 
 e:
 
 
 
 
 <ul>
 <li>
 Property Finder is the leading digital real estate platform in the Middle East and North Africa region.
 </li>
 <li>
 A UAE-born startup, Property Finder expanded its operations to Qatar, Bahrain, Saudi Arabia, Egypt and Turkey over the years
 </li>
 <li>
 The company is one of the largest technology start-ups in the region and Tech Unicorn.
 </li>
 </ul>
 
 
 
 
 
 Position Summary:
 
 
 
 
 
 
 We are seeking an accomplished
 
 Senior Data Scientist
 
 with deep expertise in
 
 Generative AI
 
 , and solid foundations in
 
 ML Engineering
 
 to join our forward-thinking AI &amp; Data Science team. You will play a pivotal role in leading cutting-edge AI initiatives, scaling data-driven strategies, and shaping the future of AI at Property Finder.
 
 
 
 
 
 This senior role requires strong technical and research depth, a collaborative mindset, and a proven ability to translate business challenges into impactful AI solutions. You will also act as a mentor to junior scientists and influence strategic decision-making across the company.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Lead the design and implementation of complex predictive and optimization models using classical ML/statistical methods, deep learning architectures, and generative techniques.
 </li>
 <li>
 Drive innovation in Large Language Models (LLMs), Generative AI, and Agentic AI&mdash;pioneering new applications such as enhanced personalization, lead qualification, content generation, and workflow automation.
 </li>
 <li>
 Own the end-to-end ML lifecycle: from hypothesis generation, experimentation, evaluation, and explainability, to scalable deployment in production systems.
 </li>
 <li>
 Develop and enforce rigorous evaluation and monitoring pipelines, including A/B testing, drift detection, and model fairness/robustness.
 </li>
 <li>
 Guide the development of advanced analytics and visualization solutions to support strategic business decisions at scale.
 </li>
 <li>
 Collaborate closely with engineering teams to ensure resilient, low-latency, and production-grade deployment of AI systems.
 </li>
 <li>
 Embed trust, transparency, and auditability in all models&mdash;ensuring alignment with ethical AI and governance frameworks.
 </li>
 <li>
 Stay abreast of the latest in AI research and industry trends to keep our technology stack at the forefront.
 </li>
 <li>
 Implement MLOps and deployment best practices (CI/CD, automated workflows, model registry, versioning, and lifecycle management).
 </li>
 </ul>
 
 
 
 
 
 Cross-Team Collaboration
 
 :
 
 
 
 
 <ul>
 <li>
 Act as a technical leader and mentor for junior team members, fostering a culture of excellence, innovation, and continuous learning.
 </li>
 <li>
 Collaborate with Data Platform and Engineering teams to optimize model deployment pipelines and infrastructure.
 </li>
 <li>
 Partner with Product, Strategy, Commercial, and Executive stakeholders to define AI roadmaps, align on business priorities, and communicate insights effectively.
 </li>
 </ul>
 
 
 
 
 
 Desired Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Education: Master&rsquo;s or PhD in Computer Science, Machine Learning, Data Science, or a related field.
 </li>
 <li>
 5+ years of experience in applied data science or machine learning engineering roles.
 </li>
 <li>
 Proven track record of deploying models in production environments with measurable business impact.
 </li>
 <li>
 Experience guiding junior data scientists or leading end-to-end ML projects independently.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 
 
 
 <ul>
 <li>
 Expertise in supervised/unsupervised learning, deep learning (CNNs, RNNs, transformers), and statistical modeling.
 </li>
 <li>
 Strong foundation in scenario modeling, optimization, and evaluation metrics for performance and fairness.
 </li>
 <li>
 Proficiency in Python (pandas, NumPy, scikit-learn) and deep learning libraries (PyTorch or TensorFlow).
 </li>
 <li>
 Hands-on experience with LLMs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) pipelines.
 </li>
 <li>
 Experience integrating ML models via APIs and embedding AI in enterprise systems.
 </li>
 <li>
 Deep knowledge of cloud platforms (AWS/GCP/Azure) and containerized deployments (Docker, Kubernetes).
 </li>
 <li>
 Familiarity with ML pipelines, model registries, CI/CD, Git-based version control, and production monitoring.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 
 
 
 <ul>
 <li>
 Exceptional communication and stakeholder management skills across technical and non-technical audiences.
 </li>
 <li>
 Strategic thinking with the ability to connect AI/ML capabilities to core business goals.
 </li>
 <li>
 Demonstrated ability to thrive in a fast-paced, collaborative, and dynamic environment.Strategic mindset with the ability to translate business goals into data-driven initiatives.
 </li>
 </ul>
 
 
 
 
 
 Our promise to talent
 
 
 
 
 
 
 At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
 
 
 
 
 
 
 Property Finder Guiding Principles
 
 
 
 
 
 <ul>
 <li>
 Think Future First
 </li>
 <li>
 Data Beats Opinions, Speed Beats Perfection
 </li>
 <li>
 Optimise for Impact
 </li>
 <li>
 No Ostriches Allowed
 </li>
 <li>
 Our People, Our Power
 </li>
 <li>
 The Biggest Risk is Taking no Risk at All
 </li>
 </ul>
 
 
 
 
 
 Find us at:
 
 
 
 Twitter
 
 
 Facebook
 
 
 Instagram
 
 
 Linkedin
 
 
 Glassdoor
 
</div>

Senior Data Scientist (Based in Dubai)

Infosys

<div>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experienced in Agile way of working, manage team effort and track through JIRA
 </li>
 <li>
 High Impact client communication
 </li>
 <li>
 Domain experience in Retail, CPG and Logistics
 </li>
 <li>
 Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIs The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. Roles &amp; Responsibilities:
 </li>
 <li>
 Understand the requirements from the business and translate it into an appropriate technical requirement.
 </li>
 <li>
 Responsible for successful delivery of MLOps solutions and services in client consulting environments;
 </li>
 <li>
 Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client.
 </li>
 <li>
 Assist clients with operationalization metrics to track performance of ML Models
 </li>
 <li>
 Help team with ML Pipelines from creation to execution
 </li>
 <li>
 Guide team to debug on issues with pipeline failures
 </li>
 <li>
 Understand and take requirements on Operationalization of ML Models from Data Scientist
 </li>
 <li>
 Engage with Business / Stakeholders with status update on progress of development and issue fix
 </li>
 <li>
 Setup Standards related to Coding, Pipelines and Documentation
 </li>
 <li>
 Research on new topics, services and enhancements in Cloud Technologies EEO/About Us : About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.
 </li>
 </ul>
</div>

Machine Learning Engineer

Adobe

<div>
 
 Our Company
 
 
 
 Changing the world through digital experiences is what Adobe&rsquo;s all about. We give everyone&mdash;from emerging artists to global brands&mdash;everything they need to design and deliver exceptional digital experiences! We&rsquo;re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
 
 
 We&rsquo;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
 
 
 Principal Scientist &ndash; Adobe Experience Platform
 
 
 Our Company
 
 
 At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. Adobe is listed as Fortune&rsquo;s &ldquo;100 Best Companies to Work For&rdquo; for 20 consecutive years. You will also be surrounded by colleagues who are committed to helping each other grow. If you&rsquo;re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
 
 
 Changing the world through digital experiences is what Adobe&rsquo;s all about. We give global brands everything they need to design and deliver exceptional digital experiences. We&rsquo;re passionate about redefining how companies interact with customers across every screen.
 
 
 We&rsquo;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours.
 
 
 The Opportunity
 
 
 Adobe is redefining customer intelligence. We help enterprises understand their customers deeply&mdash;what they value, what they need&mdash;and translate that understanding into meaningful, personalized experiences.
 
 
 The
 
 Adobe Experience Platform (AEP)
 
 is at the heart of this mission, powering data integration, governance, advanced analytics, and intelligent services at global scale. Our next chapter focuses on
 
 agent-driven AI systems
 
 &mdash;autonomous, adaptive agents that orchestrate complex workflows, learn from data, and deliver real-time insights and actions.
 
 
 At the core lies our
 
 Enterprise Knowledge Base
 
 , a foundational platform that unifies structured, unstructured, and semi-structured data. This system fuels advanced AI and Generative AI applications across Adobe&rsquo;s digital marketing ecosystem&mdash;empowering customers to unlock richer, more intelligent experiences.
 
 
 We are looking for someone who thrives on solving hard problems, scaling intelligent systems, and creating measurable impact. You&rsquo;ll lead the design and development of low-latency, high-throughput services that power intelligent enterprise experiences across millions of users worldwide.
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Lead the technical design, implementation, and evolution of AEP Knowledge Base and Agentic AI systems.
 </li>
 <li>
 Strong background in distributed storage (Delta Lake, Iceberg), compute (Spark), data warehousing (Snowflake, BigQuery, Redshift) and cloud services (Azure, AWS, GCP).
 </li>
 <li>
 Work hands-on with foundation models (OpenAI, Anthropic, Llama, Gemini) and model adaptation techniques.
 </li>
 <li>
 Architect RAG (Retrieval-Augmented Generation) pipelines and optimize vector databases (FAISS, Pinecone, Weaviate, Milvus) for enterprise-grade AI solutions.
 </li>
 <li>
 Experience with foundation models (OpenAI/Anthropic/Llama/Gemini) and model adaptation techniques.
 </li>
 <li>
 Design and deploy high-performance, low-latency distributed systems that scale globally.
 </li>
 <li>
 Establish guidelines for evaluation, safety, and guardrails for system behaviour.
 </li>
 <li>
 Collaborate with research and product teams to integrate modern capabilities into the Platform.
 </li>
 <li>
 Mentor engineers, drive technical excellence, and foster a culture of continuous learning.
 </li>
 <li>
 Contributions to open-source projects in the agent/LLM ecosystem is desirable.
 
 
 </li>
 </ul>
 What you will need to succeed
 
 
 <ul>
 <li>
 15+ years in design and development of large scale data intensive distributed systems.
 </li>
 <li>
 3+ years as a lead / chief architect.
 </li>
 <li>
 In depth work experience on technologies like Apache Spark, Delta Lake, Snowflake, Kubernetes, etc.
 </li>
 <li>
 In depth work experience on one or more public clouds like Azure, AWS or GCP.
 </li>
 <li>
 Strong background in Relational Stores (PostgreSQL, MySQL).
 </li>
 <li>
 Strong experience in Vector Stores (Pinecone, Weaviate, Milvus).
 </li>
 <li>
 Strong coding skills in Java, Scala, Python.
 </li>
 <li>
 Proficiency in data structures and algorithms.
 </li>
 <li>
 Cost consciousness around computation and memory requirements.
 </li>
 <li>
 Excellent communication and collaboration skills to work with multi-functional R&amp;D teams.
 </li>
 <li>
 BTech/MTech/MS in Computer Science, AI/ML or related fields.
 
 
 </li>
 </ul>
 Why Adobe
 
 
 At Adobe, you&rsquo;ll work in a culture that values creativity, collaboration, and continuous learning. Our
 
 Check-In
 
 approach fosters open feedback, career growth, and shared success.
 
 
 If you&rsquo;re ready to shape the future of AI-powered customer experiences and make a global impact&mdash;
 
 Adobe is the place for you.
 
 
 
 Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 
 
 Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
</div>

Principal Scientist

Explore 59+ Data scientist in Bangalore this December. Find roles across top companies and apply now to boost your career.

59 data scientist jobs IN Bangalore

Data Scientist

Data Scientist

Data Scientist-Artificial Intelligence

Data Scientist-Advanced Analytics

Senior Data Scientist (Based in Dubai)

Machine Learning Engineer

Principal Scientist