Senior ML Engineer IRC248014

Description:

We are looking for the role of AI/ML Engineer with hands-on experience for the project in collaboration with a measurement equipment vendor.

Products lists:

– Channel Emulator Platforms

– Test Automatization platforms, @OpenTAP

– Network Test & Measurement Solutions

– Oscilloscopes/Spectrum Analyzers/Signal Generators

– Protocol Analysis & Emulation

Requirements:

Master’s or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.

10+ years of experience in designing and implementing machine learning systems in a production environment.

Profound knowledge of machine learning algorithms, including but not limited to supervised and unsupervised learning, deep learning, NLP,

GenAI, and reinforcement learning.

Experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

Proficient in programming languages used in data science and ML, primarily Python and R.

Strong understanding of data structures, algorithms, and software engineering principles.

Experience with at least 2 cloud platforms (e.g., AWS, Azure, Google Cloud) and understanding of how to leverage their ML services.

Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes) for deploying ML models.

Familiarity with MLOps principles and tools to streamline the ML lifecycle from development to production.

Participate in pre-sales activities, including developing ML offering materials and engaging with clients to understand their needs, presenting

tailored solutions, and demonstrating the potential impact of our ML technologies.

Excellent communication and leadership skills, with the ability to work in a fast-paced, collaborative environment.

Preferred:

Certifications in cloud technologies and machine learning.

Experience with big data technologies (e.g., Hadoop, Spark).

Published work in relevant fields.

Job Responsibilities:

Responsibilities: Design and develop machine learning models for anomaly and error detection in protocol trace data. ML Engineer will handle model selection, implementation, training, testing, and optimization, ensuring models meet requirements and achieve learning standards aligning with the following criteria:

• Ability to accurately detect and classify all events within a protocol trace that fall outside the range of “normal operation” (defined through training cycles performed using curated training data covering a wide scope of transactional scenarios in which classes of significant trace data elements are identified and their values are guaranteed to fall within acceptable ranges and/or within protocol defined sequence patterns)
• Ability to accept parametrized range criteria from users pertaining to an array of trace data elements and use these parameters to adjust detection sensitivity against these elements (e.g. set maximum acceptable latency within a trace to ignore latency values which might otherwise be detected as anomalous)
• Ability to recognize causal relationships between series transactions within a trace leading to a behavioral error or anomaly, and to contextualize the event sequence for use in root cause analysis
• Ensure models are dynamically scalable to trace data set of increasing size
• Ensure models are adaptable such that the base ML can be quickly trained to digest and analyze the specificities of new protocols, while reusing and building upon learning foundations generic to protocol analysis
  
  
  

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.