Senior ML Engineer IRC276915

Description
We are looking for the 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

Culture of caring.
At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders.

Learning and development.
We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work.
GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you'll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what's possible and bring new solutions to market. In the process, you'll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility.
We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way

High-trust organization.
We are a high-trust organization where integrity is key. By joining GlobalLogic, you're placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.