Senior Data Scientist who designs, develops, and implements machine learning models, AI systems, and statistical modeling to generate actionable insights for business problems and product development.
Compensation
Pay Range: $108,960.00 - $163,440.00 Annual
Responsibilities
Designs, develops, programs and implements Machine Learning Models (Clustering, Classification or Regressions models).
Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques.
Develops and applies novel models on customer data to identify areas to increase profits and reduce losses.
Partners with experimentalists to translate models into testable hypotheses.
A passionate and self-driven Security Researcher Intern to develop and refine security content that powers next-generation products, building automation systems to gather and process real-time data for malware and threat detection.
Compensation
$129,100.00 - $208,825.00/yr
Responsibilities
Develop an understanding of next-generation firewalls and their application in modern network security.
Build and enhance automation systems for efficient data collection and real-time processing to support threat analysis.
Apply AI/ML techniques to analyze live network traffic for the detection, analysis, and mitigation of emerging security threats.
Research and propose effective network security countermeasures to identify and neutralize various cyber-attack vectors.
Proactively collaborate with senior security researchers to analyze adversarial tactics and contribute to the implementation of proactive security protections.
Requirements
Currently pursuing a 2-year Master’s degree or Doctorate in Computer Science, Electrical Engineering, or a related field
Senior Security Researcher focused on developing and refining security content for next-generation products, building automation systems, and applying AI/ML methods to detect and mitigate threats.
Compensation
$113,000.00 - $182,700.00/yr
Responsibilities
Design, build, and optimize automation systems for real-time data collection and processing to support threat detection.
Apply advanced AI/ML methods, including anomaly detection and deep learning, to analyze real network traffic for threat detection and mitigation.
Conduct in-depth research on network security countermeasures to identify and mitigate sophisticated cyber attacks.
Collaborate with fellow security researchers to analyze adversarial activities and implement robust, proactive protections.
Continuously learn and apply knowledge of next-generation firewalls and their role in modern network security.
Senior researcher focused on developing and refining security content for next-generation products, building automation systems, and applying AI/ML methods to detect and mitigate threats.
Compensation
$139,600.00 - $225,775.00/yr
Responsibilities
Design, build, and optimize automation systems for real-time data collection and processing to support threat detection.
Apply advanced AI/ML methods, including anomaly detection and deep learning, to analyze real network traffic for threat detection and mitigation.
Conduct in-depth research on network security countermeasures to identify and mitigate sophisticated cyber attacks.
Proactively collaborate with fellow security researchers to analyze adversarial activities and implement robust, proactive protections.
Translate threat research findings into tangible security solutions and protections within our product ecosystem.
Develop transformative AI/ML solutions to address clients' business requirements and challenges, bridging research and production to create ground-breaking products and services.
Responsibilities
Develop transformative AI/ML solutions to address clients' business requirements and challenges
Close the gap between AI research and production to create ground-breaking new products, features and solve problems for our customers with GenAI
Build and implement machine learning models and prototype solutions for proof-of-concept
Scale existing AI models into production on a variety of cloud platforms with GenAI
Analyze and resolve architectural problems, working closely with engineering, data science and operations teams
Requirements
Bachelor's degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field
Master’s degree is a plus
Nice to have: Certifications in AI/ML or GenAI (optional)
Nice to have: Familiarity with generative models, prompt engineering, and fine-tuning techniques
Senior AI Engineer responsible for developing and deploying generative AI, NLP, vision, and ASR models for enterprise applications.
Compensation
Hiring Range: $169,800 - $233,500 - for Primary Location of USA - CA - Palo Alto
Responsibilities
Evaluate, adapt, and develop new state of the art language and/or multimodal foundation models for enterprise applications
Perform thorough empirical analysis of the approach and write production ready code
Develop, modify and fine-tune ML/NLP and pre-trained enterprise-grade large language models (LLMs) and multi-modal models
Ensure the developed models seamlessly integrate with other tools and company products and are aligned with the feedback that will be generated from enterprise customers
Specify guidelines and design annotation processes for data; collaborate with data team on data preprocessing, consumption, and automated/manual annotations
Requirements
Master’s degree in Computer Science, Engineering, or related fields
Bachelor’s degree in Computer Science, Engineering or related experience
Lead the creation of engineering plans, mentor junior team members, collaborate with cross-functional teams, implement advanced machine learning solutions, develop, optimize, and deploy large-scale models, run A/B tests, and partner with product managers to deliver content to millions of users.
Compensation
Base salary is determined by your location, skills, and experience. Salary ranges: Geo-1: 182,000.00 - 246,000.00 USD Annual; Geo-2: 164,000.00 - 222,000.00 USD Annual
Responsibilities
Lead engineering plans to address challenging problems
Mentor junior team members
Collaborate with engineering teams and product managers
Implement latest advancements in machine learning
Develop, optimize, and deploy large-scale machine learning models
Lead data science initiatives for Walmart’s Foundation Models team, defining problem statements, building large-scale models, and driving adoption across product and engineering teams.
Locations (2)
Bangalore, Karnataka, India
Chennai, Tamil Nadu, India
Responsibilities
Define problem statements and solution direction
Own full lifecycle of model development from research to production
Lead data engineering and large-scale GPU training