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N-iX is a software development service company that helps businesses across the globe develop successful software products.
Client Overview:
Our client is a leading provider of technical services, delivering both standard and custom intranet and internet-based software and applications systems. Due to increasing demand for in-house digital projects, the client is seeking to outsource certain development tasks to strategic partners.
Project Objectives:
The client is looking to build strategic long-term relationships with leading development partners to accelerate business growth through high-quality and cost-efficient software development. The selected partner(s) will support the development of robust and scalable Consumer and Enterprise applications.
Responsibilities:
Client Overview:
Our client is a leading provider of technical services, delivering both standard and custom intranet and internet-based software and applications systems. Due to increasing demand for in-house digital projects, the client is seeking to outsource certain development tasks to strategic partners.
Project Objectives:
The client is looking to build strategic long-term relationships with leading development partners to accelerate business growth through high-quality and cost-efficient software development. The selected partner(s) will support the development of robust and scalable Consumer and Enterprise applications.
Responsibilities:
- Develop and implement machine learning models using Python and TensorFlow.
- Design and execute data analysis projects to derive actionable insights from large datasets.
- Partner with data engineers to ensure data quality and availability for machine learning models.
- Apply statistical techniques to validate model performance and reliability.
- Develop clear and comprehensive documentation of models, algorithms, and data processes.
- Present findings and insights to stakeholders using visualization tools like Matplotlib, Seaborn, and Plotly.
- Stay current with the latest advancements in AI/ML technologies and apply them to improve existing processes.
- Collaborate with the ETL team to optimize data pipelines using tools like Apache Airflow and dbt.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
- Proven experience (5+ years) as a Data Scientist working on complex projects.
- Strong expertise in machine learning and data science libraries: Scikit-Learn, TensorFlow, and various ML models.
- Proficiency in programming languages and tools such as Python, R, and SQL.
- Experience with data analysis and manipulation libraries like Pandas and NumPy.
- Demonstrated ability to work with large datasets and data warehousing solutions like Clickhouse, PostgreSQL, and Oracle.
- Excellent problem-solving skills and ability to translate business requirements into technical solutions.
- Upper-Intermediate level of English.
- Experience with cloud-based machine learning platforms.
- Familiarity with data visualization tools like QlikView, Tableau, and Apache Superset.
- Understanding of CI/CD practices and tools like Docker, Kubernetes, and GitLab.
- Previous experience in developing algorithms for consumer and enterprise applications.
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
Key Skills
Ranked by relevance
c
ai
machine learning
ui
ha
data analysis
tensorflow
python
apache
excel
git
sql
pan
data visualization
data warehousing
kubernetes
postgresql
matplotlib
tableau
seaborn
docker
oracle
gitlab
pandas
scala
cloud
numpy
etl
esp
sla
lan
ips
das
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- Posted
- Nov 21, 2024
- Type
- Full-time
- Level
- Not Applicable
- Location
- Poland
- Company
- N-iX
Industries
Food
Beverage Services
Manufacturing
Beverage Manufacturing
Categories
Engineering
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