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Junior Machine Learning Engineer IRC237419
Job: | IRC237419 |
Location: | Poland - Wroclaw |
Designation: | Junior Software Engineer |
Experience: | 0-1 years |
Function: | Engineering |
Skills: | Data Science, Deep Learning, Machine Learning, Python |
Work Model: | Hybrid |
Description:
You will be a part of the Team working on a huge software project for the world-class company providing M2M / IoT 4G/5G modules e.g. to healthcare and logistics industries.
Through our engagement, we contribute to our customer in developing and testing the end-user modules’ firmware, implementing new features, maintaining compatibility with the newest telecommunication and industry standards, as well as performing analysis and estimations of the customer requirements.
By integrating machine learning into telecommunications, we’re not just enhancing performance; we’re shaping the future of connectivity, driving innovation, and unlocking new possibilities for seamless communication experiences related aspects.
Join GlobalLogic, to be a part of innovative AI project.
Requirements:
Education and Technical Skills:
- Bachelor’s degree in Computer Science, Data Science, or a related field
- Proficiency in Python (e.g. PyTorch, NumPy, Pandas) for data analysis and modeling
- Knowledge of machine and deep learning algorithms and frameworks
Statistical and Mathematical Skills:
- Understanding of statistics, linear algebra, and calculus
- Ability to perform hypothesis testing and regression analysis
- Strong analytical mind and inclination for problem solving
ML/DL Model Development:
- Feature engineering and model selection expertise
- Model evaluation using cross-validation and relevant metrics
- Understanding of monitoring and maintaining deployed model (ensuring scalability, reliability)
Data Preprocessing:
- Data manipulation/pre-processing/cleaning skills
- Data visualization skills
Communication and Collaboration:
- Strong communication skills for technical and non-technical audiences
- Collaboration with cross-functional and multi-location teams
- Awareness of ethical issues in data science
- English level: C1
Portfolio and Experience:
- Demonstrated experience through relevant professional/educational projects
- Optional certifications in relevant technologies
Responsibilities:
- Explore the potential applications of artificial intelligence within the project
- Actively following and evaluating the latest trends and achievements mainly in the field of large language models (LLM) and other machine learning technologies.
- Obtaining data for model training
- Model training
- Code optimization and refactoring
- Synthetic Data Generation
- API documentation and codebase analysys
What We Offer
Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.
Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.
DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.
Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.
Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.
Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.