Machine Learning Engineer

For over 15 years, Trilyon has been at the forefront of providing comprehensive global workforce solutions and staffing services.
Leveraging our extensive expertise across multiple domains such as Cloud technology, Salesforce, AI, Machine Learning, and Technical Writing, we consistently exceed expectations in catering to a wide range of requirements.

Currently we are seeking a
"Senior Machine Learning Engineer"
for one of our clients that is a leading multination corporation.

Job Title:
Senior Machine Learning Engineer

Location:
Malvern, PA (Hybrid)

Duration:
24 Months

Employment Type:
Contract

Position Overview

We are seeking a highly skilled and experienced
Senior Machine Learning Engineer
to join our team in Malvern, PA. The ideal candidate will have deep expertise in
machine learning engineering, MLOps, and data pipeline development
, with a proven ability to design, build, and optimize end-to-end machine learning solutions in a production environment. This role is pivotal in ensuring the scalability, reliability, and efficiency of our AI and ML systems across business applications.

Key Responsibilities

• Design, develop, and optimize
  complex data pipelines
  using machine learning engineering best practices to ensure
  scalability, efficiency, and reliability
  .
• Develop and implement
  robust MLOps pipelines
  to support model deployment, monitoring, and lifecycle management of AI/ML models in production.
• Integrate and maintain
  data and model pipelines
  , proactively diagnosing data quality issues and maintaining clear documentation.
• Collaborate closely with
  data scientists
  to validate model-ready datasets and ensure thorough and accurate
  feature documentation
  .
• Conduct
  exploratory data analysis (EDA)
  and data discovery on raw sources, applying business context to support model development.
• Track
  data lineage
  and perform
  root cause analysis
  during data exploration and issue resolution.
• Partner with internal stakeholders to understand business processes and translate them into
  scalable analytical and ML-driven solutions
  .
• Develop and maintain
  model monitoring scripts
  , investigate production alerts, and coordinate timely issue resolution.

Required Qualifications

• Bachelor's degree
  in Computer Science, Data Engineering, or a related field (
  Master's degree preferred
  ).
• 7+ years
  of relevant experience in
  AI engineering, machine learning engineering, or data engineering
  .
• 3+ years
  of hands-on experience building
  ETL and data pipelines
  using
  AWS services
  .
• Proven expertise in
  developing and implementing ML pipelines
  for deploying, monitoring, and managing models in production environments.
• Proficiency in
  Python
  and familiarity with key ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas).
• Strong understanding of
  cloud technologies
  and AI/ML platforms such as
  AWS SageMaker
  .
• Solid grasp of
  software engineering principles
  , including design patterns, testing, security, and version control (e.g., Git).
• In-depth understanding of the
  Machine Learning Development Lifecycle (MDLC)
  and
  AI engineering best practices
  .
• Experience designing and implementing
  end-to-end ML pipelines
  and
  solution architectures
  in production environments.

Equal Employment Opportunity

Trilyon is an Equal Opportunity Employer, committed to fairness and respect for all individuals. We value diversity in age, disability, ethnicity, gender, gender identity, religion, and sexual orientation, believing it drives innovation and better service. Employment decisions are made impartially, without regard to any protected characteristic under federal, state, or local law. Our diverse team drives innovation, competitiveness, and creativity, enhancing our ability to effectively serve our clients and communities. This commitment to diversity makes us stronger and more adaptable.

Warm Regards,

Anupam

Recruitment Lead

P: EXT - 144