דרושים » מדעים מדוייקים » Principal Applied Science Manager - MSAI

Requirements:
M.A/Ph.D. or equivalent in Mathematics, Computer Science, Artificial Intelligence, Machine Learning, or a related field.
2+ year proven track record of applying NLP techniques to real-world problems, with hands-on experience in developing and deploying AI solutions.
Extensive experience in NLP research, with a focus on natural language interaction with structured data.
Strong theoretical background in deep learning, particularly in the area of large language modeling (LLM).
Demonstrated expertise in Python and relevant machine learning tools.
Familiarity with statistical modeling/analysis techniques. Knowledge in R, Matlab, or similar tools for statistical analysis is an advantage.
Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
Creative thinker with a passion for pushing the boundaries of AI research and innovation.

Requirements:
7 years+ of SW development in variety of programming languages
5 years experience of SW development in the industry.
Research capabilities, machine learning experience
Have the resilience to solve complex difficult problems.
Independent, focused, well organized, and capable of prioritizing and multitasking
Be proactive and detail-oriented, yet comfortable working in a dynamic environment with fast paced deliveries and changing requirements
B.SC from a leading University
Advantages:
Experienced with BigData and Machine learning / AI technologies stack
Experienced with languages Python / C / C++
Proven experience with Deep Learning models optimizations on top of GPU

Requirements:
Required/Minimum Qualifications:
Bachelors degree in computer science, Information Technology, Engineering, Business, or related field AND proven years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
Proven years experience with enterprise-scale technical delivery experience with Azure AI Services including Azure OpenAI, Azure Cognitive Search, Azure Speech, Azure Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
Proven years experience creating AI Proof of Concepts and Minimum Viable Products (MVPs) and supporting production deployments.
Additional or Preferred Qualifications:
Breadth of technical experience and knowledge (preferred):
Application development skills proficient with Python, Java, or similar programming languages in the context of application development, and ability to integrate Azure AI with other services; cloud application deployment experience with services such as Azure Functions, Kubernetes, Docker, API Management, and related.
Architecture Design the ability to create and explain 3-tier architecture diagrams, system context diagrams, system interaction diagrams, etc.
Experience in architecting deployments for production in an enterprise setting including infrastructure knowledge, security, networking, and other considerations.
Proven years experience working on technical projects in a customer-facing role (e.g., internal and/or external)
Ability to build relationships, orchestrate, lead, and influence virtual teams, ensuring successful acceleration and unblocking of customer projects.
Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
Presentation and communication skills with a high degree of comfort with key audiences (Senior Executives, Management, Data Scientists, Engineers, etc.).

Requirements:
3+ years of proven experience as a data Product Manager or similar position, with a focus
on creating comprehensive and technical PRDs and managing product development
roadmaps. Analytics and data products - an advantage.
? Strong technical background with a deep understanding of software development and
engineering principles.
? Strong understanding of data technologies, analytics, and Machine Learning concepts.
? Fluent English and Excellent communication
? Strong analytical and problem-solving skills.
? Experience working with cross-functional teams and Agile methodologies.
? Familiarity with market research and competitive analysis.
? Detail-oriented with a focus on delivering high-quality products.
? Quick and independent learner with a proven ability to rapidly acquire new knowledge and
skills.

Requirements:
Masters or PhD in Computer Science, Physics, EE, Mathematics, Statistics, or a related field
5+ Years of experience of ML research/Deep Learning/Data Mining etc
Experience with software engineering in Python / C++
Strong statistical analysis and mathematical skill
A great team player eager to share/learn/teach other team members.
Creative, self-motivated, love complex problems, determined

Requirements:
Bachelor's or Master's degree in computer science, information system, or a related field.
Proven experience (at least 7 years) in a leadership role in data engineering or a similar position.
Extensive experience in designing and building scalable data pipelines with high-volume and real-time data requirements.
Experienced with a major Cloud platform: GCP (Prefered), AWS, Azure.
Strong proficiency in advanced open-source tools and technologies such as Spark, Kafka, dbt, dataform, and NoSQL databases.
Solid understanding of data modeling, data warehousing, and database management concepts (BigQuery - Preferred)
Excellent leadership and people management skills, with the ability to mentor and motivate a diverse team, manager of managers.
Strong analytical and problem-solving skills with the ability to tackle complex data engineering challenges.
Familiarity with data governance, discovery, data security, and compliance requirements. (GDPR, Data Masking)
Excellent communication and collaboration skills, with the ability to effectively interact with cross-functional teams and stakeholders.

Requirements:
* 4+ years of experience in data engineering or related roles.
* Proficiency in Python and SQL, with familiarity in other programming languages such as Java, Scala, etc.
* Experience with big data technologies and frameworks like Spark, Hadoop, Hive, etc.
* Familiarity with data streaming and messaging platforms such as Kafka, RabbitMQ, etc.
* Expertise in high-performance, near real-time ETL/ELT processes incorporating current and emerging data stack tools like Airflow, AWS, Kubernetes, Databricks, dbt, Spark, and Kafka.
* Experience with cloud platforms and services like AWS, GCP, Azure, etc.
* Ability to work independently and as part of a team in a fast-paced and dynamic environment.
* Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience.

Requirements:
Requirements
1.Project Management- Experience in managing AI projects, including resource and timeline coordination.
2.Team Leadership:- Proven track record of leading AI teams and developing technological infrastructures for AI solutions.
3.Strategic Development: - Ability to develop and implement organizational AI strategies successfully.
4.Technical Expertise:- Deep understanding of AI algorithms, techniques, and BI tools.
5.AI Solutions Knowledge:** Broad knowledge of AI solutions spectrum (e.g., Machine Linux, deep learning, GEN AI) and when to apply different capabilities.

Requirements:
4+ years working as a Backend engineer in a web environment
In Depth understanding of OOP, SOLID and know functional programming principles
Can understand and write multi-threaded code, specifically a web server's request lifecycle
Have an excellent understanding of database systems, relational and otherwise, including big data applications
Are able to conduct performance analysis for a system and find its bottlenecks
Familiar with Linux development
Broad knowledge of modern backend and frontend frameworks, tools, and architecture
Experience working on a high scale, production-grade projects
B.Sc. in Computer Science or Mathematics (or equivalent experience) is a big plus
Result oriented, self-motivated, fast learner, can do attitude and a great team player
Experience with Python + SQL - major advantage
Experience with Pandas/SQL-alchemy - advantage

Requirements:
4+ years working as a Full Stack engineer using FE and BE technologies in a web environment
In Depth understanding of OOP, SOLID and know functional programming principles
Can understand and write multi-threaded code, specifically a web server's request lifecycle
You care about design, are passionate about TDD methodology and microservices architecture, contributed to open source projects, take responsibility and can work independently
Have an excellent understanding of database systems, relational and otherwise, including big data applications
Are able to conduct performance analysis for a system and find its bottlenecks
Experienced with Linux development and know your way around cloud environment
Broad knowledge of modern backend and frontend frameworks, tools, and architecture
Experience working on a high scale, production-grade projects
B.Sc. in Computer Science or Mathematics (or equivalent experience) is a big plus
Result oriented, self-motivated, fast learner, can do attitude and a great team player