Machine Learning Engineer IRC286221

Description
We are seeking a highly skilled Machine Learning Engineer to focus on the design, development, and deployment of machine learning systems at scale.

You will play a strategic role in shaping the project´s ML architecture, mentoring other team members, and collaborating cross-functionally with data scientists, software engineers, and product owner.

This is a hands-on position requiring deep technical expertise and a vision for how machine learning can drive business outcomes.

Requirements
Experience:

• 5+ years of experience in developing and deploying machine learning models in a professional setting.
• Telecom industry experience is highly preferred.

Technical Skills:

• 5+ years of professional experience in machine learning, including production-level deployment.
• Strong knowledge of ML algorithms, statistical modeling, and data science best practices.
• Building & deploying model using python Azure Data Factory (ADF), Azure Databricks, PySpark, Delta Lake, ETL/ELT, data pipelines, data lakehouse architecture.
• Expertise in Python (Pandas, NumPy, Scikit-learn,and SQL.
• Experience with big data tools (e.g., Spark, Hadoop) and cloud ML platforms (AWS, GCP, Azure).
• Proficiency in building scalable pipelines using tools like Airflow, Kubeflow, or MLflow.
• Solid understanding of software engineering fundamentals: data structures, algorithms, and version control.
• Desirable experience with real-time ML systems or streaming data (Kafka, Flink, etc.).
• Desirable knowledge of deep learning, NLP, computer vision, or reinforcement learning.

Job responsibilities

Architecture & Design

• Design and oversee scalable ML architectures and infrastructure.
• Develop end-to-end ML pipelines from data ingestion to production deployment.
• Select and implement appropriate ML algorithms and tools.
• Drive best practices for ML model lifecycle management, including versioning, retraining, and monitoring.
• Contribute to the ML roadmap and ensure alignment with business goals.

Model Development

• Build and optimize ML models using supervised, unsupervised, and deep learning techniques.
• Conduct rigorous model validation, A/B testing, and performance tuning.

Collaboration

• Partner with data scientists, data engineers, product managers, and business stakeholders to translate complex business problems into ML solutions.
• Collaborate across data science, tech, and product managers to define and build data ingestion systems and model training pipelines.
• Optimize models for scalability and high performance.
• Work closely with DevOps teams to deploy and monitor models in production environments.

MLOps

• Champion the adoption of MLOps practices: CI/CD for ML, reproducibility, scalability, and observability.
• Automate workflows and model serving using tools like MLflow, Kubeflow, SageMaker, etc.

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.