דרושים » תוכנה » Senior Algorithm team leader

Requirements:
Computer Vision Algorithm engineer Location: Haifa A leading defense technology company is seeking an experienced Computer Vision Algorithm engineer to join a multidisciplinary team developing advanced EO tracking and detection systems. Job Description: Development of detection and tracking algorithms for electro-optical sensors Implementation in MATLAB, Python, and C ++ Definition of simulation tools, TEST scenarios, and performance analysis Algorithm optimization using Machine Learning techniques Collaboration with system and integration teams Leading a small, focused algorithm development team Requirements: B.Sc. in Engineering or Exact Sciences (M.Sc. is an advantage) Minimum 5 years of experience in classical image processing Strong knowledge in statistics and probability Experience in multi-sensor data fusion strong advantage Experience leading or mentoring technical teams advantage 

Requirements:
8+ years of hands-on experience in python or c++ showcasing a deep understanding of the languages, its intricacies, and best practices.
Bachelors or Masters degree in Computer Science,
Experience as a Team Leader/ Technical Leader - must
Proven experience in leading and managing complex technical projects, demonstrating strong project management skills.
Exceptional problem-solving skills with a proven ability to troubleshoot complex issues, showcasing strong analytical and critical thinking abilities.
Outstanding communication skills, with the ability to explain complex concepts in a clear and concise manner to both technical and non-technical stakeholders.
Excellent leadership capabilities, with a track record of mentoring and guiding team members to foster professional growth and development.
Experience working with AI, GenAI
Experience with GPU, CUDA - optional.

Requirements:
Relevant academic degree (CS/ CE / EE)
At least 3 years experience in C/C++ Must
At least 3 years as team leader Must
Experience in design and development of enterprise-level and multi-threaded system
Knowledge and experience in Linux - Must
Experience working with Linux environments - Advantage
Experience in design, coding, integration, and debugging capabilities
Self-starter, enthusiastic proactive mindset
Ability to write code and conduct thorough code reviews.

Requirements:
1. Technical Expertise
Cloud Data Platforms: Expertise in Google Cloud Platform (GCP)
services, especially in data-related services like BigQuery, Cloud SQL,
Dataproc, Pub/Sub, and Dataflow.
Data Engineering: Strong knowledge of data pipelines, ETL/ELT
processes, and data integration using GCP tools.
Database Management: Experience with both relational and
non-relational databases, including MySQL, PostgreSQL, and NoSQL
solutions like Firestore or Bigtable.
Programming Skills: Proficiency in Python, SQL, and possibly other
languages like Java or Scala, with a focus on data manipulation and
processing.
APIs and Integrations: Experience working with Google APIs and
third-party APIs for data extraction and integration.
Machine Learning: Familiarity with Google Cloud AI tools, such as
Vertex AI, and how to integrate machine learning workflows into the data
architecture.
Data Governance: Knowledge of data security, privacy, governance, and
regulatory requirements (GDPR, HIPAA, etc.).
2. Leadership and Management

Team Management: Ability to lead a team of data engineers, analysts,
and architects, providing guidance, mentorship, and performance
management.
Project Management: Strong skills in managing data projects, ensuring
timely delivery while meeting client requirements.
Collaboration: Experience working cross-functionally with stakeholders
such as solution architects, developers, and business teams to translate
business needs into data solutions.
Resource Allocation: Efficiently managing cloud resources to optimize
cost and performance.
3. Client-Facing Skills
Consulting: Experience in providing consulting services to clients,
including understanding their data needs, providing solutions, and
guiding them through the data modernization process.
Pre-sales Support: Supporting sales teams in scoping out client
projects, preparing presentations, and explaining technical aspects of
data solutions during pre-sales.
Client Relationship Management: Building and maintaining strong
relationships with clients to ensure satisfaction and long-term
partnership.
4. Certifications and Education
● Google Cloud Certifications:
● Professional Data Engineer (preferred)
● Professional Cloud Architect (preferred)
● Other Certifications: Optional certifications in data engineering or
machine learning from organizations like Cloudera, AWS, or Microsoft
Azure can be advantageous.
● Educational Background: Bachelors or Masters degree in Computer
Science, Data Science, Engineering, or a related field.
5. Soft Skills
● Problem-Solving: Ability to troubleshoot data-related issues and
implement scalable solutions.
● Adaptability: Ability to keep up with the rapidly changing cloud and data
landscape.
● Communication: Excellent verbal and written communication skills to
explain complex data systems to non-technical stakeholders.