Machine Learning Engineer / Data Scientist IRC237936 Full-time

Description:

The Company accelerates digital transformation so that customers can be more agile, efficient, resilient, and secure. The project is the company’s cloud-native platform that protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

With more than 10 years of experience developing, operating, and scaling the cloud, the company serves thousands of enterprise customers around the world, including 450 of the Forbes Global 2000 organizations. In addition to protecting customers from damaging threats, such as ransomware and data exfiltration, it helps them slash costs, reduce complexity, and improve the user experience by eliminating stacks of latency-creating gateway appliances.

Requirements:

Technical skills:

• 3+ years of experience as a Machine Learning Engineer, Data Scientist, or similar role, preferably with a focus on security applications.
• Experience with code analysis, obfuscation, and mobile security is highly desirable.
• Strong background in machine learning, data mining, and statistical analysis, with hands-on experience in Python, R, or similar programming languages.
• Experience with tools and libraries such as TensorFlow, PyTorch, Scikit-learn, and Pandas.
• Deep understanding of machine learning algorithms, feature engineering, and model evaluation techniques.
• Strong problem-solving skills, with the ability to work with large, complex datasets.
• Familiarity with mobile development environments (Android Studio, Xcode) and code obfuscation tools (e.g., ProGuard, DexGuard).

Soft skills:

• Excellent problem-solving skills and ability to work independently or as part of a team.
• Strong communication skills and ability to articulate technical concepts to non-technical stakeholders.
• Ability to manage multiple tasks and deliver projects on time.
• Ability to technically lead a team and support other developers.

Job Responsibilities:

We are at the forefront of developing innovative security solutions for mobile applications.

We are looking for a skilled Machine Learning Engineer/Data Scientist with a focus on code obfuscation tools for Android and iOS platforms. This role will involve leveraging data science and machine learning techniques to enhance the security and effectiveness of our code obfuscation strategies.

• Develop, train, and deploy machine learning models to detect vulnerabilities in code obfuscation techniques used in Android and iOS applications.
• Analyze large datasets of mobile app code to identify patterns and anomalies that could indicate weaknesses in obfuscation.
• Research and implement new machine learning algorithms and statistical models to improve the resilience of code obfuscation tools.
• Collaborate with security engineers and developers to integrate machine learning models into the obfuscation pipeline, enhancing the tools’ ability to resist reverse engineering and tampering.
• Evaluate the effectiveness of current obfuscation techniques using advanced data-driven approaches, and propose improvements based on model insights.
• Use data science techniques to optimize obfuscation strategies, balancing security with performance.
• Work closely with cross-functional teams, including penetration testers, security experts, and mobile developers, to ensure that machine learning models are effectively integrated into security solutions.
• Document research findings, model performance, and deployment processes in a clear and organized manner.
• Communicate complex technical concepts and findings to both technical and non-technical stakeholders.

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.

About GlobalLogic
GlobalLogic is a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise-we help our clients imagine what’s possible, and accelerate their transition into tomorrow’s digital businesses. Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world, extending our deep expertise to customers in the automotive, communications, financial services, healthcare and life sciences, manufacturing, media and entertainment, semiconductor, and technology industries. GlobalLogic is a Hitachi Group Company operating under Hitachi, Ltd. (TSE: 6501) which contributes to a sustainable society with a higher quality of life by driving innovation through data and technology as the Social Innovation Business.