Vertex AI Machine Learning Engineer

3 days ago

Reston, Virginia, United States Synechron Full time
Job Title: Vertex AI Machine Learning Engineer

At Synechron, we are committed to delivering innovative digital solutions that transform businesses. Our global consulting firm combines creativity and technology to drive industry-leading results. We are seeking a skilled Vertex AI Machine Learning Engineer to join our team in Irvine, TX.

Key Responsibilities:
  • Design, develop, and deploy machine learning models using Vertex AI.
  • Integrate Vertex AI with other Google Cloud services such as BigQuery, Cloud Storage, and Dataflow.
  • Utilize AutoML capabilities to create high-quality models with minimal manual effort.
  • Develop custom training pipelines for more complex machine learning tasks using frameworks like TensorFlow and PyTorch.
  • Implement and manage Vertex AI Pipelines for orchestrating end-to-end machine learning workflows.
  • Monitor and optimize model performance post-deployment, ensuring models remain accurate and efficient over time.
  • Collaborate with data scientists, software engineers, and other stakeholders to understand business requirements and translate them into effective AI solutions.
  • Perform hyperparameter tuning to enhance model performance.
  • Utilize Vertex AI Feature Store for feature management and reuse.
  • Conduct online and batch predictions using Vertex AI prediction services.
  • Adhere to MLOps best practices for model versioning, deployment, and lifecycle management.
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
  • Proven experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Hands-on experience with Google Cloud Platform (GCP) services, specifically Vertex AI.
  • Strong programming skills in Python or a similar language.
  • Familiarity with data processing tools like Apache Beam, Dataflow, or similar.
  • Understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
  • Experience with AutoML tools and techniques.
  • Excellent problem-solving skills and the ability to work in a fast-paced environment.
  • Strong communication and collaboration skills.
  • Preferred Qualifications:
  • Google Cloud Professional Machine Learning Engineer certification.
  • Experience with MLOps tools and practices.
  • Familiarity with Kubernetes and Docker for containerization and orchestration.
  • Knowledge of big data technologies like BigQuery, Spark, and Hadoop.
What We Offer:
  • A highly competitive compensation and benefits package
  • A multinational organization with 55 offices in 20 countries and the possibility to work abroad
  • Laptop/equipment
  • 12 days of paid annual leave (plus sick leave and national holidays)
  • Maternity & Paternity leave plans
  • A comprehensive insurance plan including: medical, dental, vision, and long-/short-term disability (plans vary by region)
  • Retirement savings plans
  • A higher education certification policy
  • Extensive training opportunities, focused on skills, substantive knowledge, and personal development
  • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses
  • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups
  • Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms
  • A flat and approachable organization
  • A truly diverse, fun-loving and global work culture
  • Saving funds plan for Mexico

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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