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staff ai scientist

HackerRank

<div>
 HackerRank helps thousands of companies like OpenAI, NVIDIA, Mercedes and Amazon hire developers based on their skills vs. pedigree, and also nurtures a community of millions of developers to upskill themselves to become next-gen developers.
 
 
 The people at HackerRank care deeply about their work and have an extremely intense work ethic. In many companies, speed &amp; quality is a tradeoff. At HackerRank, it&rsquo;s not -- we expect you to ship in about half the time that most competent people think is possible while maintaining a standard of quality you&rsquo;d proudly sign your name on. The only way to make this happen is if you truly love your craft and are deeply committed to growth.
 
 
 
 About The Role
 
 
 
 We are seeking a Staff AI Scientist with deep expertise in machine learning fundamentals and a proven track record of building and evaluating advanced AI systems. This role is for someone who thrives at the intersection of data science, statistics, and ML engineering, with an emphasis on dataset rigor, metric design, and evaluation methodology.
 
 
 At the staff level, you will set the direction for how we evaluate AI systems, work across teams to ensure scientific rigor is balanced with product and engineering needs, and deliver both datasets and pipelines that stand up to scrutiny.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Dataset Preparation &amp; Evaluation
 </li>
 <ul>
 <li>
 Design, prepare, and curate high-quality evaluation datasets with defensible methodology.
 </li>
 <li>
 Define criteria for dataset construction, ensuring statistical rigor, reproducibility, and fairness.
 </li>
 <li>
 Develop new metrics and evaluation frameworks to measure model performance in nuanced ways.
 </li>
 </ul>
 <li>
 Model Evaluation &amp; ML Engineering
 </li>
 <ul>
 <li>
 Evaluate LLMs and other pre-trained models using carefully chosen datasets and metrics.
 </li>
 <li>
 Build scalable pipelines for training, fine-tuning, and benchmarking models.
 </li>
 <li>
 Contribute to projects involving fine-tuning, retrieval-augmented generation (RAG), and other adaptation methods.
 </li>
 </ul>
 <li>
 Cross-Functional Leadership
 </li>
 <ul>
 <li>
 Partner with product and engineering to align scientific rigor with business outcomes.
 </li>
 <li>
 Define evaluation standards and ML lifecycle practices that raise the bar across the company.
 </li>
 <li>
 Mentor scientists and engineers, guiding best practices in experimentation, statistics, and ML development.
 
 </li>
 </ul>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Education: Master&rsquo;s degree (PhD preferred) in Computer Science, Statistics, Machine Learning, or a related quantitative field.
 </li>
 <li>
 Strong background in mathematical and statistical foundations of machine learning (probability, linear algebra, optimization, experimental design).
 </li>
 <li>
 Demonstrated experience in end-to-end ML lifecycle: dataset preparation, model training, evaluation, deployment, and monitoring.
 </li>
 <li>
 Proven expertise in evaluation dataset design and metric creation, not just using existing benchmarks but knowing when and how to improve them.
 </li>
 <li>
 Experience with LLM evaluation, fine-tuning, and RAG, with the engineering skills to build production-ready pipelines.
 </li>
 <li>
 Track record of strategic impact at a staff or principal level setting evaluation and research standards across teams.
 
 
 </li>
 </ul>
 
 Even better if you have
 
 
 
 <ul>
 <li>
 Publications, open-source contributions, or widely adopted benchmarks in ML/AI.
 </li>
 <li>
 Prior experience shaping AI evaluation frameworks at an organizational or industry level.
 </li>
 <li>
 Comfort working at the interface of science, engineering, and product.
 
 
 </li>
 </ul>
 
 You will thrive in role if
 
 
 
 <ul>
 <li>
 You define gold-standard evaluation datasets and metrics that internal teams adopt as a standard.
 </li>
 <li>
 You ship datasets and pipelines that are statistically rigorous, reproducible, and scalable.
 </li>
 <li>
 You elevate the organization&rsquo;s ML practice by embedding sound statistical and scientific methodology into product and engineering work.
 </li>
 <li>
 You are recognized as a thought leader who sets strategy while still contributing technically at depth.
 
 
 </li>
 </ul>
 
 Want to learn more about HackerRank?
 
 Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here.
 
 
 HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
 
 
 Linkedin | X | Blog | Instagram | Life@HackerRank
 
 
 
 Notice To Prospective HackerRank Job Applicants
 
 
 
 <ul>
 <li>
 Our Recruiters use @hackerrank.com email addresses.
 </li>
 <li>
 We never ask for payment or credit check information to apply, interview, or work here.
 </li>
 </ul>
</div>

Staff AI Scientist

Infosys

<div>
 Technical skills
 
 
 <ul>
 <li>
 Programming: Python, R, SQL
 </li>
 <li>
 ML algorithms:
 </li>
 <li>
 Statistical ML algorithms
 </li>
 <li>
 Deep Neural Network architectures
 </li>
 <li>
 Model ensembling
 </li>
 <li>
 Generative AI models
 </li>
 <li>
 ML for Responsible AI
 </li>
 <li>
 AI domains - NLP, speech, computer vision, structured data
 </li>
 <li>
 Learning patterns &ndash; supervised, unsupervised, reinforcement learning
 </li>
 <li>
 Tools for data analysis, auto ML, model deployment &amp; scaling, model fine tuning
 </li>
 <li>
 Knowledge of different Model fine tuning approaches for Large models
 </li>
 <li>
 Knowledge of datasets, pre-built models available in open community and 3rd party providers
 </li>
 <li>
 Knowledge of software development &amp; architectures
 </li>
 <li>
 Knowledge of hyperscalers &amp; their AI capabilities &ndash; Azure, AWS, GCP
 </li>
 <li>
 Knowledge of Model Quantization and Pruning
 </li>
 <li>
 Past experience playing a Data Scientist role Technical skills
 </li>
 <li>
 Programming: Python, R, SQL
 </li>
 <li>
 ML algorithms:
 </li>
 <li>
 Statistical ML algorithms
 </li>
 <li>
 Deep Neural Network architectures
 </li>
 <li>
 Model ensembling
 </li>
 <li>
 Generative AI models
 </li>
 <li>
 ML for Responsible AI
 </li>
 <li>
 AI domains - NLP, speech, computer vision, structured data
 </li>
 <li>
 Learning patterns &ndash; supervised, unsupervised, reinforcement learning
 </li>
 <li>
 Tools for data analysis, auto ML, model deployment &amp; scaling, model fine tuning
 </li>
 <li>
 Knowledge of different Model fine tuning approaches for Large models
 </li>
 <li>
 Knowledge of datasets, pre-built models available in open community and 3rd party providers
 </li>
 <li>
 Knowledge of software development &amp; architectures
 </li>
 <li>
 Knowledge of hyperscalers &amp; their AI capabilities &ndash; Azure, AWS, GCP
 </li>
 <li>
 Knowledge of Model Quantization and Pruning
 </li>
 <li>
 Past experience playing a Data Scientist role
 </li>
 </ul>
</div>

Associate Data Scientist

Virtusa

<div>
 Seeking an experienced Data Scientist with a strong background in data analytics, coding, and complex SQL development. The ideal candidate will have hands-on experience working with large and diverse datasets, building analytics solutions, and delivering insights under tight timelines. This role requires strong technical foundations, data wrangling expertise, and the ability to work with both structured and unstructured data. You will collaborate with crossfunctional teams to design, develop, and automate data-driven solutions that support critical business decisions.
 
 
 Analyze, interpret, and model largescale structured and unstructured datasets to generate meaningful insights and business recommendations
 
 
 Write, optimize, and tune complex SQL queries to extract, transform, and manipulate large datasets efficiently
 
 
 Develop and automate data sourcing, cleansing, transformation, and analytic pipelines using programming and analytics tools
 
 
 Build dashboards, reports, and visualizations using analytics platforms (e.g., Tableau, Alteryx) to communicate insights effectively
 
 
 Deliver analytics solutions and data-driven outputs within strict timelines, ensuring high quality and accuracy
 
 
 Collaborate with business stakeholders to translate analytical findings into actionable strategies
 
 
 Document data processes, methodologies, and models to support transparency and reusability
 
 
 Support continuous improvement of data workflows, analytics tools, and best practices.
</div>

Senior Data Owner

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!
 
 
 
 The Opportunity
 
 
 
 Adobe Design is looking for a visionary
 
 Staff Experience Designer
 
 to join our
 
 Digital &ndash; Advertising, Learning &amp; Publishing (D-ALP)
 
 team and shape the future of how content is created, managed, and experienced across our diverse product ecosystem.
 
 
 You&rsquo;ll collaborate with a multidisciplinary team to design and scale
 
 AI-powered experiences
 
 that drive engagement, creativity, and long-term customer value for millions of users worldwide.
 
 
 As a design leader, you&rsquo;ll define core product experiences, mentor designers, and elevate design maturity across the organization &mdash; helping reimagine the content lifecycle through the transformative lens of
 
 Generative AI
 
 .
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Raise the bar on craft: Create elegant, intuitive, and cohesive experiences that transform how people create and interact with content.
 </li>
 <li>
 Lead with vision: Define long-term product strategy and design direction; advocate for user needs using insights and data; integrate GenAI as both an enabler and a core design element.
 </li>
 <li>
 Elevate design culture: Mentor designers, foster collaboration across disciplines, and shape design processes that enable excellence and scalability.
 </li>
 <li>
 Drive innovation through GenAI: Leverage AI capabilities to accelerate ideation, prototyping, and experimentation in the design process.
 </li>
 <li>
 Model Adobe values: Champion user empathy, ownership, and inclusion. Deliver meaningful impact by focusing on what matters most &mdash; doing fewer things, better.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 10+ years of product design experience with a proven record of delivering impactful, high-quality work.
 </li>
 <li>
 Master&rsquo;s degree in Design, HCI, or a related field (or equivalent experience).
 </li>
 <li>
 Expertise in user-centered design principles and best practices for complex product ecosystems.
 </li>
 <li>
 Experience working through ambiguity &mdash; defining north stars and shaping long-term vision (3&ndash;5 years).
 </li>
 <li>
 Strong collaboration skills across design, product, engineering, and research.
 </li>
 <li>
 Excellent storytelling and communication skills &mdash; able to articulate design rationale and trade-offs clearly.
 </li>
 <li>
 Hands-on experience with emerging technologies and AI-driven design tools, from exploration to implementation.
 
 
 </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>

Staff UX Designer

<div>
 Python
 
 
 We are looking for a talented Senior Software Developer with strong Python skills. You will join our AI
 
 
 Solutions team. We focus on creating advanced AI systems in the Electrification field. In this role,
 
 
 you will work with AI/ML engineers, data scientists, and cloud architects. Together, you will develop
 
 
 robust, scalable software solutions using the latest AI technologies. This is a great chance to work
 
 
 where AI innovation meets highperformance backend systems and cloud-native development.
 
 
 
 Responsibilities
 
 
 
 Write highquality, testable, and maintainable Python code using object-oriented programming
 
 
 (OOP), SOLID principles, and design patterns.
 
 
 Develop RESTful APIs and backend services for AI/ML model serving using FastAPI.
 
 
 Collaborate with AI/ML engineers to integrate and deploy Machine Learning, Deep Learning, and
 
 
 Generative AI models into production environments.
 
 
 Contribute to software architecture and design discussions to ensure scalable and cient
 
 
 solutions.
 
 
 Implement CI/CD pipelines and adhere to DevOps best practices for reliable and repeatable
 
 
 deployments.
 
 
 Design for observability, incorporating structured logging, performance monitoring, and alerting
 
 
 mechanisms. Optimize code and system performance, ensuring reliability and robustness at scale.
 
 
 Participate in code reviews, promote clean code practices, and mentor junior developers when
 
 
 needed.
 
 
 
 Required Qualifications
 
 
 
 Bachelor or Master degree in Computer Science, IT, or a related field.5+ years of handson experience in software development, with a focus on Python. Deep understanding of OOP concepts, software architecture, and design patterns.
 
 
 Experience with backend web frameworks, preferably FastAPI.
 
 
 Familiarity with integrating ML/DL models into software solutions.
 
 
 Practical experience with CI/CD, containerization (Docker), and version control systems (Git).
 
 
 Exposure to MLOps practices and tools for model deployment and monitoring.
 
 
 Strong collaboration and communication skills in crossfunctional engineering teams. Familiarity with cloud platforms like AWS (e.g., Sagemaker, Bedrock) or Azure (e.g., ML Studio,
 
 
 OpenAI Service).
 
 
 
 Preferred Qualifications
 
 
 
 Experience in Rust is a strong plus.
 
 
 Experience working on highperformance, scalable backend systems.
 
 
 Exposure to logging/monitoring stacks like Prometheus, Grafana, ELK, or OpenTelemetry.
 
 
 Understanding of data engineering concepts, ETL pipelines, and processing large datasets.
 
 
 Background or interest in the Power and Energy domain is a plus.
 
 
 Mandatory Skills
 
 
 Python
 
 
 AI/ML model serving using FastAPI.
 
 
 ML/DL models
 
 
 MLOps practices
</div>

Python Developer

Cognizant

<div>
 The Senior Associate will execute big data analytics, visualization and automation for audits, key risk indicators (KRI) projects and process improvements.
 
 
 
 Responsibilities
 
 
 
 The Senior Associate supports the Data Analytics team by proposing relevant analytics procedures and tools, executing the analytics, developing dashboards and building AI tools for audits, key risk indicators and automation initiatives.
 
 
 
 The Responsibilities Include &ndash;
 
 
 
 <ul>
 <li>
 Understanding audit or project objectives and assist in preparing the analytics execution plan and timelines.
 </li>
 <li>
 Working with Corporate Functions/Business Units/IA teams for gathering requirements for KRI projects.
 </li>
 <li>
 Working with IA audit teams to understand the analytics requirements for audit engagements.
 </li>
 <li>
 To determine appropriate analytics tool or platform, design the visuals and independently build pilot or prototype to meet project objectives.
 </li>
 <li>
 Build AI and Gen AI tools to achieve process efficiencies.
 </li>
 <li>
 Establishing and maintaining relationships with all key stakeholders of Internal Audit.
 </li>
 <li>
 Taking an active role in developing and driving Internal Audit Data Analytics quality, coaching audit team members on analytics tools and knowledge sharing to enhance the value provided to Internal Audit stakeholders.
 </li>
 <li>
 Ensuring timely and accurate time tracking.
 </li>
 <li>
 Continuously focusing on self-development by attending trainings, seminars and acquiring relevant certifications.
 
 
 </li>
 </ul>
 
 Required Skills And Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree, preferably in Computer Science, Data Analytics, Statistics, Engineering or Business Management.
 </li>
 <li>
 At least 3 years of experience in data analytics, visualization and automation.
 </li>
 <li>
 Proficient in data management tools for example, Access/Excel, VBA, ACL, IDEA, SQL, SPSS, R, Python etc.
 </li>
 <li>
 Expertise in visualization tools like Qlik View, Power BI, Tableau etc.
 </li>
 <li>
 Experience in Machine Learning and AI/Gen AI tools is preferred.
 </li>
 <li>
 Basic understanding of financial processes (Accounts payable, Payroll, Travel and Expenses etc.) is desirable.
 </li>
 <li>
 Team person, keen learner, motivated.
 </li>
 <li>
 Excellent verbal and written communication.
 </li>
 <li>
 Highest professional standards, integrity and ethical behavior.
 </li>
 </ul>
</div>

Senior Associate - Data Analytics

<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>
 <li>
 Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours.
 </li>
 <li>
 Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 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

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