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<div>
 
 
 Data Scientist
 
 
 
 
 
 
 We are seeking a
 
 Data Scientist
 
 with around 3 years of experience to join our analytics and machine learning team in the Ad Tech domain. In this role, you will apply statistical and machine learning techniques to improve campaign targeting, audience segmentation, and recommendation systems. You will collaborate with engineers, analysts, and product teams to transform data into insights and deploy models that directly impact business outcomes. This position is ideal for someone eager to take ownership of end-to-end projects while continuing to expand their expertise in advanced machine learning and applied statistics.
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and deploy
 
 machine learning and statistical models
 
 to solve business problems in advertising and marketing.
 </li>
 <li>
 Conduct
 
 exploratory data analysis (EDA)
 
 to identify trends, patterns, and actionable insights.
 </li>
 <li>
 Design and run
 
 experiments (e.g., A/B testing)
 
 to evaluate impact and validate hypotheses.
 </li>
 <li>
 Work with engineers to
 
 build and maintain scalable data pipelines
 
 that support modeling and analytics.
 </li>
 <li>
 Communicate results effectively through
 
 dashboards, visualizations, and presentations
 
 .
 </li>
 <li>
 Stay up to date with new techniques in
 
 machine learning, causal inference, and recommendation systems
 
 and apply them where relevant.
 </li>
 </ul>
 
 
 
 
 Required Skills &amp; Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Physics).
 </li>
 <li>
 ~3 years of experience applying
 
 machine learning and statistical methods
 
 in a professional setting.
 </li>
 <li>
 Strong proficiency in
 
 Python or R
 
 and
 
 SQL
 
 .
 </li>
 <li>
 Experience with ML frameworks such as
 
 scikit-learn, TensorFlow, or PyTorch
 
 .
 </li>
 <li>
 Hands-on knowledge in at least one of the following:
 
 A/B testing, causal inference, NLP, or recommendation systems
 
 .
 </li>
 <li>
 Strong problem-solving, analytical, and communication skills.
 </li>
 </ul>
 
 
 
 
 Nice-to-Have
 
 
 <ul>
 <li>
 Prior experience in
 
 Ad Tech, digital marketing, or related industries
 
 .
 </li>
 <li>
 Familiarity with
 
 big data and distributed systems
 
 (e.g., Spark, Databricks, GCP).
 </li>
 <li>
 Experience with
 
 time series forecasting
 
 or
 
 advanced NLP techniques
 
 .
 </li>
 </ul>
</div>

Data Scientist

<div>
 
 Roles And Responsibilities
 
 
 
 <ul>
 <li>
 Experience in implementation of ML/AI solutions for enterprise level on Azure/AWS cloud
 </li>
 <li>
 Communicate effectively with clients on brainstorming the solutions
 </li>
 <li>
 Conduct research and development majorly on AI/ML implementations
 </li>
 <li>
 Implement RAG architecture for confidential data use case
 </li>
 <li>
 Apply deep learning techniques and machine learning experience
 </li>
 <li>
 Develop and implement generative AI models using state-of-the-art techniques and frameworks
 </li>
 <li>
 Collaborate with cross-functional teams to understand project requirements and design solutions that address business needs
 </li>
 <li>
 Research and experiment with new AI algorithms, architectures, and tools to improve model performance and capabilities
 </li>
 <li>
 Stay updated with the latest advancements in AI research and technology and contribute to the knowledge sharing within the team
 </li>
 <li>
 Participate in code reviews, documentation, and knowledge transfer sessions to ensure high-quality deliverables and effective collaboration
 </li>
 <li>
 Good to have - experience in healthcare and life sciences to relevant projects
 </li>
 <li>
 Hands-on with GenAI and Machine Learning experience
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or related field
 </li>
 <li>
 3-5 years of experience in implementing ML/AI solutions for enterprise level on Azure/AWS cloud
 </li>
 <li>
 Strong programming skills in languages such as Python, with experience in data science
 </li>
 <li>
 Proficiency in generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and related architectures
 </li>
 <li>
 Good understanding of machine learning concepts, algorithms, and methodologies
 </li>
 <li>
 Experience with data preprocessing, model training, and evaluation using large-scale datasets
 </li>
 <li>
 Excellent problem-solving skills and the ability to work independently as well as part of a team
 </li>
 </ul>
</div>

Associate - Business Analyst-Application Development-Full Stack Developer

Infosys Consulting

<div>
 <ul>
 <li>
 Infosys Consulting, the management consulting business of Infosys, is looking to hire Data Scientists. You should have between 7 to 18 years of Data Science experience.
 </li>
 <li>
 Successful candidates will be part of a specialised customer-facing AI Labs team in our rapidly expanding Automation &amp; Artificial Intelligence Consulting Practice. They will work closely with our AI Consultants and SMEs to define and deliver best-in-class solutions.
 </li>
 <li>
 You will be entrepreneurial, inspired by execution excellence, possess strong design skills creating client deliverables and bid documents, highly analytical, emotionally intelligent, a team player, and only satisfied when your work has a meaningful impact. You will help our clients identify and qualify opportunities to leverage automation to unlock business value and maintain a competitive edge.
 </li>
 <li>
 Infosys Consulting offers exceptional opportunity for personal growth and, alongside client engagements, you will be recognized for your personal contribution to leading and developing new opportunities, developing thought leadership and service offerings in the domains of artificial intelligence and automation.
 </li>
 </ul>
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 You will need to be well spoken and have an easy time establishing productive long lasting working relationships with a large variety of stakeholders
 </li>
 <li>
 Take the lead on data pipeline design with strong analytical skills and a keen eye for detail to really understand and tackle the challenges businesses are facing
 </li>
 <li>
 You will be confronted with a large variety of Data Science tools and other new technologies as well with a wide variety of IT, compliance, security related issues.
 </li>
 <li>
 Design and develop world-class technology solutions to solve business problems across multiple client engagements.
 </li>
 <li>
 Collaborate with other teams to understand business requirements, client infrastructure, platforms and overall strategy to ensure seamless transitions.
 </li>
 <li>
 Work closely with AI and A global team and with our Fortune 500 clients to build world-class solutions and to define AI strategy.
 </li>
 <li>
 You will possess strong logical structuring and problem-solving skills with expert level understanding of database and have an inherent desire to turn data into actions.
 </li>
 <li>
 Strong verbal, written and presentation skills
 </li>
 <li>
 As a Data Scientist, you will need to have strong programming skills and strong understanding of data science and Machine Learning tools.
 </li>
 <li>
 You will be working on high impact initiatives with other Data Scientists across the globe
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor's or master&rsquo;s degree/PhD in Statistics, computer science, information technology, or a similar field.
 </li>
 <li>
 Solid understanding in Statistics, e.g., hypothesis formulation, hypothesis testing, descriptive analysis and data exploration.
 </li>
 <li>
 Expert level experience in Python or R.
 </li>
 <li>
 Strong experience in machine learning algorithms like
 </li>
 </ul>
 
 Linear/Logistic regression,
 
 
 Random forest,
 
 
 SVM,
 
 
 Neural Networks,
 
 
 Deep Learning &ndash; CNN, RNN, LSTM
 
 <ul>
 <li>
 Exposure to NLP and Computer vision use cases.
 </li>
 <li>
 In-depth knowledge of neural networks and architectures
 </li>
 <li>
 Familiarity with the latest DL architectures.
 </li>
 <li>
 Toolkits/Frameworks/Libraries - Pytorch, TF/Keras, Scikit-Learn, BERT
 </li>
 <li>
 Experience in Machine Learning Lifecycle &ndash; Data Processing, Algorithm Benchmarking, Validation
 </li>
 <li>
 Exposure to build an AI model from scratch
 </li>
 <li>
 Exposure to Graph based databases is a plus.
 </li>
 <li>
 Experience with relational databases.
 </li>
 </ul>
</div>

Data Science Consultant

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!
 
 
 
 
 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!
 
 
 Adobe Document Cloud Services in building cloud services and cloud platform from ground up to help Adobe expand the footprint of Adobe Document Cloud to billions of users across devices and surfaces. With all the innovation happening in machine learning domain around Documents, Adobe Document Cloud is leading and redefining the way world interacts with documents and document workflows.
 
 
 Adobe Document Cloud Services team is looking for a dedicated, highly motivated engineer and technical problem solver to join a high-caliber fast paced team. The engineer is encouraged to have deep experience of building low latency, high performance distributed ML services and systems.
 
 
 What you will do:
 
 
 <ul>
 <li>
 Developing and deploying ML services from zero to production.
 </li>
 <li>
 Designing, developing and testing of large scale, performant ML services which serves large numbers of users across the world.
 
 
 </li>
 </ul>
 Must have skills:
 
 
 <ul>
 <li>
 Min 4 years of work experience.
 </li>
 <li>
 Experience in design and development of ML services and software systems
 </li>
 <li>
 Experience in Python
 </li>
 <li>
 B.S/B.E./B. Tech. in Computer Science or equivalent engineering degree
 </li>
 <li>
 Proven expertise in distributed systems and building RESTful services
 
 
 </li>
 </ul>
 Preferred skills:
 
 
 <ul>
 <li>
 Experience with LLMs
 </li>
 <li>
 Experience with other backend languages like Java
 </li>
 <li>
 Experience with technical operations and CI/CD
 </li>
 <li>
 Familiarity with Docker and Kubernetes
 </li>
 <li>
 Familiarity with monitoring systems like NewRelic, Grafana etc
 
 
 </li>
 </ul>
 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>

Computer Scientist - 1 (Python, ML Services)

<div>
 <ul>
 <li>
 Strong hands-on programming skills in Python with multiple design patterns.
 </li>
 <li>
 Strong hands-on expertise in Kubernetes and Docker, having ability to build and optimize container images.
 </li>
 <li>
 Experience with Azure/GCP cloud platform, machine learning services and best practices.
 </li>
 <li>
 Strong problem-solving abilities with a capacity to quickly dive deep into issues and propose effective solutions.
 
 
 </li>
 </ul>
 Ability to manage multiple concurrent tasks and prioritize
</div>

Associate - Business Analyst-Data Engineering-Cloud Data Engineering

Microsoft

<div>
 
 Overview
 
 
 
 Are you an
 
 Applied Scientist II
 
 passionate about building intelligent systems that enhance productivity in Office applications? Do you have a strong foundation in machine learning, natural language processing (NLP), and software engineering? Join our team of applied scientists and engineers working at the forefront of generative AI to shape the future of productivity tools.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Applied Research &amp; Development: Contribute to the design and implementation of machine learning models and algorithms for search, summarization, and content understanding in Office applications.
 </li>
 <li>
 Model Development: Build and fine-tune ML/DL models using frameworks like PyTorch or TensorFlow. Collaborate on deploying models in production environments with a focus on scalability and performance.
 </li>
 <li>
 Cross-Functional Collaboration: Work closely with engineering, product, and research teams to translate business needs into technical solutions and deliver impactful features.
 </li>
 <li>
 Experimentation &amp; Evaluation: Conduct experiments, analyze results, and iterate on solutions to improve precision, recall, and user satisfaction.
 </li>
 <li>
 Innovation: Stay current with research trends in generative AI and NLP. Explore new signals, data sources, and modeling techniques to evolve intelligent systems and contribute to the Copilot ecosystem.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 2+ years of industry experience in applied machine learning or data science roles.
 </li>
 <li>
 Proficiency in Python and ML libraries such as PyTorch or TensorFlow.
 </li>
 <li>
 Experience developing and evaluating generative AI models.
 </li>
 <li>
 Familiarity with NLP techniques and content understanding.
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
 
 
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Solid verbal and written communication skills to explain complex technical concepts to diverse audiences.
 </li>
 <li>
 Ability to tackle open-ended problems and deliver practical, scalable solutions.
 </li>
 <li>
 Experience deploying ML models in production environments.
 </li>
 <li>
 Exposure to full product lifecycle from prototyping to deployment and iteration.
 </li>
 <li>
 Contributions to research publications, patents, or open-source projects.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Applied Scientist II

<div>
 
 Overview
 
 
 
 <ul>
 <li>
 Are you passionate about creating innovative solutions that empower users to achieve more with Office applications? Do you have a strong background in natural language processing, generative AI, and engineering? If so, we are looking for an Applied Scientist to join our team of data and applied science engineers working at the intersection of generative AI and engineering for Office. In this role, you will drive cutting-edge projects, contribute to the Copilot ecosystem, and help shape the Agentic future with one of the most widely used software products in the world.
 
 
 </li>
 </ul>
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Applied Research &amp; Development: Design and implement machine learning models and algorithms that improve search, summarization, and content understanding in Office applications. Stay current with advancements in NLP and generative AI to inform product innovation.
 </li>
 <li>
 Model Development &amp; Deployment: Build and optimize ML/DL models using frameworks like PyTorch or TensorFlow. Contribute to the deployment of models in production environments, ensuring scalability and performance.
 </li>
 <li>
 Cross-Functional Collaboration: Work closely with engineering, product, and research teams to define goals, align on priorities, and deliver impactful features. Translate business needs into technical solutions.
 </li>
 <li>
 Experimentation &amp; Evaluation: Conduct experiments to evaluate model performance, analyze results, and iterate on solutions. Use data-driven insights to improve precision, recall, and user satisfaction.
 </li>
 <li>
 Innovation &amp; Impact: Explore new signals, data sources, and modeling techniques to enhance intelligent systems. Contribute to the evolution of the Copilot ecosystem and agentic experiences in Office.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
 </li>
 <li>
 OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Experience contributing to research publications, patents, or open-source projects.
 </li>
 <li>
 Hands-on experience deploying ML models in production environments.
 </li>
 <li>
 Familiarity with the full product lifecycle, from ideation to deployment and iteration.
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Applied Scientist

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