דרושים Indirect Tax- Advisor ב-Dell ב-הודו

Data Science Senior Advisor MMX

As a Data Science Senior Advisor, 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 partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.
You will:

• Gather and preprocess marketing data from various sources such as cloud based/ on-premise databases ensuring data quality and consistency
• Design and implement Bayesian Marketing Mix Models to estimate the incremental impact of marketing and media channels on business KPIs
• Develop priors and leverage hierarchical Bayesian frameworks to model data across geographies, products, and time.
• Create visualizations to present data findings in a clear and actionable manner.
• Work with cross-functional teams, including go to market teams, data platform team to implement data-driven solutions.
• Creating and maintaining custom built libraries.
• Maintaining version control of artifacts (Github)

Essential Requirements

• Hands-on experience building marketing mix models, with a strong understanding of marketing performance measurement.
• Strong proficiency in Python, R tidyverse and SQL
• Familiarity with cloud platforms such as GCP, Data bricks
• Reproducible artifact building (Rmarkdown, Notebooks)

Desirable Requirements

• Experience with machine learning algorithms and their application in marketing.
• Excellent communication skills to convey complex data insights to non-technical stakeholders.
• Understanding of marketing operations and how data can drive decision-making.
• Ability to think critically and solve complex problems with attention to detail

2025

The Field Functional Leader (FFL) is responsible for supporting and enabling field service excellence across three key pillars: CSP Offering, Field Support Augmentation, and Blended Delivery. This role ensures On-Site Engineers (OSEs) receive timely support and escalation management, coordinates after-hours service continuity, and drives alignment with strategic transformation goals.

What you’ll achieve

As a Field Functional Leader, you will be at the forefront of transforming field service delivery. You’ll play a pivotal role in ensuring service excellence across CSP offerings, supporting frontline engineers, and driving operational efficiency through blended delivery models.

You will:

• Make a measurable impact on customer satisfaction and service continuity.

• Lead strategic initiatives that shape the future of field operations.

• Collaborate cross-functionally with Sales, Engineering, and Customer teams to solve complex challenges.

• Grow your leadership influence by managing escalations, optimizing resource logistics, and aligning with transformation goals.

• Develop a global perspective through engagement with diverse teams and customers across regions.

Essential Requirements

• 5+ years of experience in field service operations or functional leadership.

• Strong customer engagement and cross-functional collaboration skills.

• Proven ability to manage escalations and coordinate across teams and time zones.

• Familiarity with CSP offerings and blended delivery models.

• Multilingual capabilities are a plus.

Desirable Requirements

• Bachelor’s degree in Engineering, Business, or related field (preferred).

You will:

• Design, develop, implement, and maintain large-scale systems across multiple cloud environments

• Leverage scripting, automation and configuration management tools to accelerate the secure adoption of public cloud within Dell Technologies

• Work with global teams and business units to understand the behavior, design, and architecture of applications and network infrastructure to develop and deploy adequate controls

• 5+ years of professional experience securing or administering large enterprise public cloud environments (OCI, AWS, Azure, GCP)

• Expert Knowledge of core cybersecurity principals across multiple pillars

• Deep knowledge of Identity Access management

• Strong knowledge of hybrid multi cloud security

• Expertise in Python, PowerShell, REST API, or other scripting languages​

Desirable Requirements

• Cloud Workload Protection Platform (CWPP) or Cloud Security Posture Management (CSPM) experience

• Experience with SAFe Agile methodology

:

• Contribute to the design and architecture of high-quality, complex systems and software/storage environments
• Prepare, review and evaluate software/storage specifications for products and systems
• Contribute to the development and implementation of test strategies for complex software products and systems/for storage products and systemsEssential Requirements

• 8-12 years of Good Experience of Unix/Linux systems programming in C, multi-threading and data structures.
• Good working experience in operating systems and File systems.
• Design, implement and develop file system software using C.
• Strong Analytical, Debugging and troubleshooting skills using tools like GDB.

Desirable Requirements

• Experience of working in Scale out filesystems is a plus.
• Python programming skills

As a Data Science Advisor, 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 partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.
You will:

• Play a key role in designing and implementing intelligent solutions using Generative AI, Large Language Models (LLMs), and Machine Learning and work closely with senior architects and cross-functional teams to bring AI-driven innovations to life, particularly in the domain of technical support services and enterprise automation.
• Contribute to the design and development of GenAI and LLM-based solutions for enterprise-scale use cases and collaborate with senior data scientists and engineers to build, fine-tune, and deploy NLP and deep learning models.
• Assist in the integration of AI models into existing systems and workflows, ensuring performance and scalability and participate in data preparation, feature engineering, and model evaluation for various AI/ML projects.
• Stay updated on the latest trends in AI/ML, LLMs, and MLOps, and bring innovative ideas to the team and support the monitoring and optimization of deployed models using MLOps tools and best practices.

Essential Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
• 4–8 years of hands-on experience in data science, machine learning, or AI solution development.
• Proficiency in Python, with experience in libraries such as TensorFlow, PyTorch, or Hugging Face Transformer and Familiarity with LLMs, NLP techniques, and Generative AI frameworks.
• Experience working with cloud platforms (AWS, Azure, or GCP) and containerization tools like Docker.
• Strong analytical, problem-solving, and communication skills.

Desirable Requirements

• Exposure to MLOps tools (e.g., MLflow, Kubeflow, SageMaker) and model lifecycle management and understanding of data engineering concepts and tools like Spark, Kafka, or Airflow.
• Experience with REST APIs, microservices, and integrating ML models into production environments and knowledge of DevOps practices, CI/CD pipelines, and Kubernetes is a plus.
• Ability to work in agile teams and contribute to multiple projects simultaneously.

Application closing date:

Senior Advisor, Machine Learning

As a Machine Learning Engineer with a strong foundation in Data Science, MLOps, and Generative AI, you’ll play a pivotal role in designing, developing, and deploying intelligent, scalable applications. You’ll work across the stack—from front-end interfaces to back-end services and ML pipelines—bringing innovative, AI-driven solutions to life. You’ll also contribute to the fine-tuning and operationalization of Large Language Models (LLMs) and other GenAI technologies to solve real-world business problems.

You will:

Essential Requirements

• 8+ years of experience in full-stack development with hands-on experience in  MLOps tools like MLflow, Kubeflow, or SageMaker.
• Solid understanding of machine learning concepts, model lifecycle, and deployment strategies. and experience with cloud platforms (AWS, Azure, GCP) and container orchestration using Docker and Kubernetes.
• Experience in fine-tuning and deploying LLMs (e.g., GPT, LLaMA, Falcon) for domain-specific use cases.
• Strong knowledge of RESTful APIs, microservices architecture, and SQL/NoSQL databases.

Desired Requirements

• Experience with Generative AI frameworks (e.g., LangChain, Hugging Face Transformers, OpenAI APIs).
• Familiarity with data streaming technologies like Apache Kafka or Spark Streaming and Exposure to big data ecosystems (Hadoop, Hive, etc.).

What you’ll achieve

As a, you’ll provide comprehensive systems administration support in a virtualized enterprise environment.

You will:

• Maintain and monitor:
  | virtual servers
• Analyze and resolve problems associated with the operating system’s servers, hardware, applications and software
• Provide Tier 2 and 3 troubleshooting support to end users
• Interface and collaborate with Desk Area Network (DAN) team to perform upstream network management
• Assist with configuring and deploying all virtual machines; install and provide backup to all configuration procedures

Essential Requirements:

• Active Department of Defense (DoD) Top Secret (TS) Security Clearance with Sensitive Compartmented Information (SCI); Security+ Certification
• 8+ years’ experience as a network and computer systems administrator with similar responsibilities as above (or equivalent skill)
• Extensive background working with enterprise virtualization solutions
• Must be certified in at least one of the following: Federal IT Security Institute-Operator (FITSP-O), GIAC Foundational Cybersecurity Technologies (GFACT), CompTIA Advanced Security Practitioner (CASP+) Cisco Certified Network Professional (CCNP) Security, Certified Cloud Security Professional (CCSP), Sec+ or IT Infrastructure Library (ITIL) version 4

Desirable Requirements:

• Bachelor’s degree in a related field