Reconess

We are excited to be part of the first AI bootcamp in Palestine hosted at the Ministry of Telecommunication and Information Technology of Palestine in partnership with the Lithuania government and in collaboration with Tech-women and IEEE Palestine.
Reconess will play an important role in this bootcamp by offering Artificial Intelligence and deep learning mentorship.
https://www.linkedin.com/feed/update/urn:li:activity:7076193458415112192

Ministry of Telecom & IT Palestine - وزارة الاتصالات وتكنولوجيا المعلومات
IEEE TechWomen Palestine Lietuvos biuras Ramaloje/Lithuanian Representative Office in Ramallah

Reconess is seeking a Human Resources Manager in Nablus office, Palestine. The Human Resources Manager will be a key member of the leadership team. You will oversee all aspects of Human Resources including employee engagement, compliance, benefits administration, onboarding, off-boarding, and more. The Human Resources Manager will help to build, improve, and maintain scalable processes. You will understand the importance of a highly satisfied, happy, and well-supported workforce and will be a champion of our culture.

Competencies:
· Bachelor’s degree in Human Resources Management or related field required with 2+ years of dedicated HR role and management experience
· Knowledge of ATS and ERP systems
· Able to multi-task and organize workload for effective implementation
· Strong attention to detail with a proactive, problem-solving aptitude
· Strong written and verbal communication skills
· Able to work independently with little supervision
· Able to interact effectively at all levels and across diverse cultures
· Strong client orientation and results-driven
· Able to build consensus and influence decision-makers
· Able to manage multiple projects simultaneously with competing priorities and deadlines

Responsibilities:
-Assist in the development, documentation, and improvement of processes, procedures, and policies
-Partner with the leadership team to understand and execute the organizations' human resources and talent strategies
-Handle low/medium risk employee relations issues, provide consultative support/guidance to managers with a fact-based approach
-Conduct exit interviews, identify trends, and provide recommendations
-Builds capacity of individuals and teams through effective employee development, involvement, communication, and supervision efforts
-Creates a strong, mutually supportive work spirit and culture where people can do their best
-Establishes trust and inspires others
-Support the annual salary review process by working in close collaboration with local management
-Act as back-up support to the management team for payroll and audit-related processes
-Execute Reconess’ talent acquisition strategy to include sourcing methodology as well as assessment & selection guidelines
-Leverage Smart Recruiters tool in all facets to support acquisition & selection strategy
-Execute the talent management agenda including onboarding, development planning, and regular performance review process>in particular, lead the onboarding process and hold managers accountable to implement.
-Advise managers in best practices to lead and develop team members
-Partner with seniors to implement global and local training tools as needed

Interested? if you think you have what it takes, please send your resume to jobs[at]reconess.com with the title of the job as the subject.”
*Reconess embraces diversity and is an equal opportunity employer.

Reconess is currently seeking an experienced Machine Learning engineer to join our R&D team. There is an option to work remotely in this position.
If you are enthusiastic about learning, wanting to work in a fast-moving tech company learning a hugely valuable skillset, then this opportunity is waiting for you.

QUALIFICATIONS:
• Ph.D./MSc/Bachelor degree in computer science, computer engineer, mathematics, or the equivalent in experience, and evidence of exceptional ability.
• Familiarity with large-scale data processing and distributed systems.
• Experience with various machine learning algorithms used for recommendation, personalization, forecasting, and predictions.
• Strong analytical skills with excellent problem-solving abilities.
Strong math skills (e.g., statistics, algebra)
• Hands-on programming skills with Python/Scala or any similar language.
• Familiar with Jupyter/Zeppelin Notebooks
• Familiar with AWS SageMaker
• Strong knowledge in SQL and NoSQL databases.
• Experience with Python and Shell/Bash scripting.
• Familiar with modern data lakehouse architecture along with technologies like Apache Parquet, Hive, and Hudi.
• Familiar with data streaming architecture using AWS Kinesis or Apache Kafka.
• Familiar with Apache Spark using Scala and Python.
• Familiar with data workflow orchestration tools like Apache Airflow.
• Familiar with AWS Services like S3, Glue, EMR, Athena, Lambda, and Step Functions or something similar using GCP/Azure.
• Familiar with Visualization & BI tools.
• Experienced with version control like Git.
• Familiar with CI/CD and MLOps.

If you want to join a dynamic and creative team and think you have what it takes to make a difference apply now and become part of an amazing team! please send your resume to [email protected] with “Machine Learning Researcher” in the subject line.

Reconess has multiple openings for talented and exceptional Software Engineers(Experienced Developers and Fresh Graduates are welcome to apply).

Looking for a new challenge? Looking to take their career to the next level of creativity and innovation.

This is a great opportunity to gain significant experience for the future and competitive salary at the same time.

Requirements/Qualifications:

•Bachelor’s Degree required in Computer Engineering, Computer Science or related field.
•Team player and great collaborator with ability to work within an international team.
•Must be reliable, punctual and dependable.
•Ability to work in a fast-paced environment with sometimes incomplete requirements.
•Demonstrates innovative and strategic thinking and initiative to take action when faced with challenges.
•Quick and creative ability to identify technology solutions.
•Have an ability to solve problems creatively, with a can-do attitude.
•Open-minded, fast learner, have curiosity and passion for new technology and willingness to learn.
•Excellent written and verbal communication in English is a must.
•Willingness to get our training on machine learning and AI is a Must.

Interested? if you think you have what it takes, please send your resume to [email protected]