דרושים United States, Florida, Technical Consultant ב-United States

What you will accomplish:

• Lead and grow a team of Android engineers, attracting top talent and nurturing their development through coaching and mentorship

• Deliver high-quality, innovative mobile experiences for millions of daily active users, setting new industry standards for performance and usability

• Foster collaboration across multi-functional and global teams, improving workflows and accelerating product delivery

• Drive continuous improvement in development processes, advocating for standard methodologies in code quality, technical architecture, and team culture

• Champion agile methodologies and data-driven decision making, ensuring successful feature launches and impactful product releases

• Mentor engineers in advanced Android development, supporting each team member’s learning journey and helping develop future technical leaders

What you will bring:

• Prefer 12+ years’ experience designing, building, and releasing native Android applications using Kotlin and established architecture patterns

• Proven leadership in managing and developing high-performing engineering teams

• Expertise in Android frameworks and tools, including Jetpack Compose, MVVM, Dagger, and integration with backend APIs (REST/GraphQL)

• Strong advocacy for automated testing, continuous delivery, and software quality across the development lifecycle

• Excellent communication, documentation, and remote collaboration skills for success across dispersed team environments

• Experience working on consumer-facing products, driving customer-centric solutions and delivering measurable business impact

The base pay range for this position is expected in the range below:

Key Responsibilities

Will prepare project plan and coordinates the attainment of project deliverables from planning to implementation. Maintains matrix for process improvements

Will drive project deliverables and task details by through the use reports, tracking charts and, checklists.

Will research causes to project obstacles and assist in implementing solutions for resolution.

Functional Knowledge

• Demonstrates conceptual and practical expertise in own discipline and basic knowledge of related disciplines

Business Expertise

• Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market

Leadership

• Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements

Problem Solving

• Solves complex problems; takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information

Impact

• Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines and policies

Interpersonal Skills

• Explains difficult or sensitive information; works to build consensus

In the role as a Senior Principal AI Engineer, you will lead our AI/GEN AI initiatives. You will be responsible forarchitectingAI/GEN AI solutions, executing our GEN AI/AI strategy, and driving measurable business impact. The Senior AI Engineer will transform our Customer Support business towards a fully autonomous agentic AI system. This role requires an individual capable of translating strategic goals into tangible, high-impact AI solutions, fostering a culture of connection, innovation, and excellence within a dynamic, collaborative environment.

You will

• Own the full AI/ML lifecycle from prototype to deployment, ensuring the solutions are robust, scalable, and aligned with AI-product needs
• Design, develop, and implement AI agents capable of autonomous decision-making and action
• Stay current with the latest AI advancements and proactively apply new technologies to enhance team projects and committed to drive innovation
• Be a thought leader by inspiring and driving innovation, promoting, and supporting best practices, and mentoring the development of IPs, research publications and white papers

Essential Requirements:

• 15+ years’ experience of applied science or complex software systems, especially involving deep learning, machine learning, LLMs that have been successfully delivered
• Advanced experience with python, ETL pipelines (Airflow preferred), data warehousing concepts
• Strong software development skills, particularly in Python, with experience working with AI frameworks and tools in cloud environments; Knowledge of ML, NLP, Information Retrieval, Recommender Systems and LLMs

• Experience with container & orchestration technologies (Docker, Kubernetes etc) and cloud platforms (AWS, GCP or Azure); Experience with training, fine-tuning, and applying large language models (LLMs) for agentic AI application
• Proficiency in designing and developing multi-agent systems where multiple AI agents collaborate to achieve complex tasks

Desirable Requirements

• PhD or Master's degree in Technology, Computer Science, Machine Learning or equivalent quantitative field

• Familiarity leveraging graph-based techniques, semantic search, hybrid search systems and implementing solutions that combine traditional IR methods with machine learning models to enhance search relevancy accuracy and efficiency. Familiarity with large scale data handling when dealing with telemetry systems.
• Publication of research papers, patents, or contributions to open-source projects. Recognition as a thought leader in AI, ML, or NLP fields is highly valued.

TEAM OVERVIEW:

• We are a team of program managers that solve high impact issues in the Semiconductor world. We are looking for innovative problem solvers that are driven by curiosity and creativity. We go above and beyond, working together in a supportive and collaborative environment to ensure customer satisfaction.

KEY RESPONSIBILITIES:

• Drive strategic programs and projects related supply chain and engineering issues to support Applied Material's spares and services business
• Analyze data using tools from basic excel, to Tableau Power BI, as well as embracing AI to support analytics and decision making.
• Develop strategies that drive the future of supply chain at Applied Materials.
• Interact with all cross-functional groups, from external teams suppliers and customers, to internal team of engineers, supply chain, legal, and operational teams.
• Improve internal processes to drive cost down and efficiency up.
• Complies with all policies and standards

TECHNICAL SKILLS:

• Background in basic program / project management concepts
• Understanding of supply chain fundamentals
• Ability to analyze data and create presentations (Excel, PowerPoint)
• Preferred semiconductor knowledge/experience
• Data analysis

REQUIREMENTS/EDUCATION:

• Minimum: Masters Degree/ MBA
• Engineering degree in Mechanical Engineering, Chemical Engineering, Electrical Engineering, Materials Engineering, or MBA
• GPA requirements 3.0 or above

Applications will be reviewed on a rolling basis. Please apply by January 30, 2026. Note: This position may close early based on application volume or candidate selection.

As a Data Science Consultant, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also collaborate with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.

You will:

• Provide technical and strategic guidance to the team and executive stakeholders on complex AI/ML initiatives

• Design, develop, and deploy scalable Large Language Model (LLM) and Generative AI systems in real-world, production-grade environments

• Build robust, end-to-end AI pipelines, including data collection, preprocessing, model training, evaluation, deployment, and post-deployment monitoring

• Apply traditional machine learning approaches to solve predictive modeling and classification problems across both structured and unstructured datasets

• Collaborate closely with data engineers, MLOps specialists, and product managers to align AI solutions with business goals and continuously improve model performance, reliability, and user trust through experimentation, testing, and feedback-driven iteration

Essential Requirements

• Proven experience communicating complex technical concepts to both technical and non-technical stakeholders, and influencing product direction.

• Strong programming skills in Python , with hands-on experience using ML/AI frameworks such as PyTorch , TensorFlow , or similar.

• Self-driven and proactive, with the ability to own and lead end-to-end projects independently.

• Demonstrated ability to clearly explain statistical and algorithmic techniques at varying levels of technical depth.

• Experience building and deploying large-scale, production-ready machine learning systems and developing agentic AI solutions, such as tool-using agents, autonomous task workflows, or reasoning-based systems.

Desirable Requirements

• Bachelor’s degree with 8+ years of industry experience, or Master’s degree with 6+ years of experience in a data science or machine learning role or equivalent experience

• Familiarity with building GenAI applications that enhance developer productivity , code generation, or documentation assistance, designing and optimizing prompts and templates for LLM-based applications, LLM frameworks such as LangChain , LlamaIndex , or similar open-source tools, prompt engineering, retrieval-augmented generation (RAG), or autonomous agents powered by LLMs.