Seeking a highly skilled Associate Tech Lead specialized in AI/ML to guide the design, development, and deployment of advanced analytical and machine learning solutions.
Responsibilities
Execute and own end-to-end development of AI/ML systems, from data ingestion and feature engineering to model deployment and monitoring.
Provide inputs for the architectural direction of machine learning platforms, ensuring scalability, security, performance, and alignment with organizational standards.
Lead the evaluation, selection, and integration of AI technologies, frameworks, and tools, including GenAI solutions.
Collaborate with product, and domain teams to translate business requirements into well-designed ML architectures and solution roadmaps.
Oversee ML model lifecycle management, including experimentation, versioning, CI/CD integration, and continuous improvement.
Requirements
Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related technical field
Senior Data Scientist for a consultancy mission focused on building responsible AI models for Marketing and Communication, utilizing LLMs, text classification, and summarization.
Responsibilities
Tackle various business challenges by creating responsible AI models to answer the needs of Marketing and Communication and make campaigns more relevant and impactful.
Capture business needs, determine feasibility, build models and analyses to identify the most relevant target groups, and set up tests to measure model impact.
Build models to support customer journey-driven marketing campaigns.
Build pipelines that clean and structure web analytics and use LLMs to detect customer intent.
Develop and deploy automated summarization models using LLMs or traditional NLP methods.
Requirements
Master's degree or higher in a quantitative field such as statistics, mathematics or computer science
Lead data science initiatives for Blue Yonder’s Applied Data Science team, driving product adoption, forecasting, planning, and pricing improvements for customers.
Responsibilities
Select, build, and optimize classifiers using advanced machine learning techniques.
Conduct data mining using cutting-edge methods and tools.
Integrate third-party data sources to enhance the company’s datasets when necessary.
Refine data collection procedures to ensure relevant data is available for analytic systems.
Process, cleanse, and verify the integrity of data used for analysis.
Requirements
Bachelor’s or master’s degree in computer science with a focus on Data Science
Develop scalable data and analytics solutions to support wind turbine reliability, fleet performance, engineering investigations, and operational decision-making across the wind business.
Compensation
Relocation Assistance Provided: No
Responsibilities
Develop scalable data and analytics solutions for wind turbine reliability and fleet performance.
Work across data sources including SCADA, Condition based Monitoring Systems, and Turbine/Sensor data.
Build robust pipelines, analytics products, and monitoring capabilities.
Analyze equipment operation and failure modes to detect failures using process environment and sensor data.
Design and build new analytic packages using a structured process.
Requirements
Bachelor’s degree in computer science or STEM Majors (Science, Technology, Engineering and Math)
Seeking a highly skilled Associate Tech Lead specialized in AI/ML to guide the design, development, and deployment of advanced analytical and machine learning solutions.
Compensation
We offer competitive compensation and comprehensive benefits and programs.
Responsibilities
Execute and own end-to-end development of AI/ML systems, from data ingestion and feature engineering to model deployment and monitoring.
Provide inputs for the architectural direction of machine learning platforms, ensuring scalability, security, performance, and alignment with organizational standards.
Lead the evaluation, selection, and integration of AI technologies, frameworks, and tools, including GenAI solutions.
Collaborate with product, and domain teams to translate business requirements into well-designed ML architectures and solution roadmaps.
Oversee ML model lifecycle management, including experimentation, versioning, CI/CD integration, and continuous improvement.
Requirements
Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related technical field
Senior Data Scientist for North America Data Analytics focusing on AI and Machine Learning capabilities, responsible for developing AI solutions, building pipelines, and designing architecture to meet business objectives.
Locations (4)
Jersey City, New Jersey, United States
Whitehouse Station, New Jersey, United States
Madison Avenue, New York, United States
Philadelphia, Pennsylvania, United States
Compensation
The pay range for the role is $125,400 to $182,600. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program.
Qualcomm’s Connectivity functional verification team is looking for an intern to assist in the pre-silicon verification of high performance RFICs for WLAN/BT/UWB radio, PMU and personal navigation applications.
Compensation
$54,600.00 - $103,350.00
Responsibilities
Write behavioral Systems Verilog models of analog blocks.
Develop and maintain functional verification plans/coverages.
Writing functional verification tests for block level and radio chip level.
Developing and debugging behavioral models for event driven simulation.
Collaborate with business partners and peers to understand and scope problems
Work as an individual contributor or team to develop, implement and test AI/ML models on Azure
Synthesize data to uncover trends and recommend improvements
Perform data validation, preprocessing, and exploratory analyses
Research and implement novel AI/ML predictive modeling approaches
Requirements
Bachelor’s or Master’s degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Operations Research, Economics or Engineering
Nice to have: Property and casualty insurance experience
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