Syneos Health

ML II Engineer- Hyderabad (Hybrid)

Syneos Health
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2 months ago
Hyderābād, IndiaMid Level

Responsibilities

  • Assist in developing and deploying basic machine learning models under senior engineer supervision.
  • Perform data preprocessing, cleaning, transformation, and feature engineering tasks.
  • Support model training, testing, validation, and evaluation activities.
  • Document and report model performance and results.
  • Collaborate with senior engineers and data scientists to understand project requirements and meet milestones.
  • Participate in code reviews and help maintain code quality.
  • Learn and apply new machine learning techniques and tools.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
  • Three to four years of ML Engineering experience.
  • Understanding of machine learning algorithms and data structures.
  • Experience with SQL, NumPy, Pandas, scikit-learn, TensorFlow, or Keras.
  • Strong problem-solving skills and attention to detail.
  • Ability to work collaboratively and follow technical guidance.
  • Preferred experience with Matplotlib, Seaborn, Git, AWS, Azure, R, Python, or Java.
  • Participation in machine learning competitions or projects and willingness to pursue further certifications or education are preferred.

Benefits

  • Hybrid work arrangement in Hyderabad.
  • Career development and progression opportunities.
  • Supportive line management, technical and therapeutic area training, peer recognition, and a total rewards program.
  • Inclusive and collaborative work culture.
  • Opportunities to continue learning and pursue certifications or further education.

Tech Stack

AWSAzureGitJavaKerasMatplotlibNumPyPandasPythonRscikit-learnSeabornSQLTensorFlow

Categories

Syneos Health

About Syneos Health

10,000+ employees

Syneos Health provides outsourced clinical development and commercialization services to pharmaceutical and biotech companies, spanning clinical trials, medical affairs, and product launch support. The company operates under fee-for-service and functional service provider models across global drug development. Headquartered in Morrisville, NC, it was formed in 2017 through the merger of INC Research and inVentiv Health and was acquired in 2023 by affiliates of Elliott Management.

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