Associate ML Engineer at Syneos Health – Hyderabad / Remote (Hybrid)
Posted on May 08, 2026
Job Overview
| Company | Syneos Health |
|---|---|
| Role / Position | Associate ML Engineer |
| Location | Hyderabad / Remote (Hybrid) |
| Salary / CTC | As per industry standards |
| Job Type | Full-time |
About Syneos Health
Syneos Health is a leading global contract research organization (CRO) dedicated to accelerating the delivery of life-changing therapies. They offer a comprehensive suite of services across clinical development and commercialization, partnering with pharmaceutical, biotechnology, and medical device companies. Syneos Health is recognized for its commitment to innovation and its diverse, talented workforce.
Associate ML Engineer – Job Description
Syneos Health is seeking an enthusiastic Associate ML Engineer to join their dynamic team in Hyderabad, offering a hybrid work model. As an Associate ML Engineer, you will contribute to the development and deployment of machine learning models, working closely with experienced data scientists and engineers. This full-time position is ideal for early-career professionals looking to build a strong foundation in machine learning and contribute to cutting-edge projects within the pharmaceutical industry.
Key Responsibilities
- Assist in the development and deployment of fundamental machine learning models under expert guidance.
- Execute data preprocessing, cleaning, and transformation procedures for various datasets.
- Support the training, rigorous testing, and validation phases of machine learning models.
- Contribute to the comprehensive documentation and reporting of model performance metrics and findings.
- Collaborate effectively with senior engineers and data scientists to grasp and implement project requirements.
- Actively participate in code reviews to ensure and enhance overall code quality.
- Proactively learn and implement emerging machine learning techniques and relevant tools.
- Assist in building and optimizing data pipelines for machine learning workflows.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a closely related technical field.
- Foundational understanding of core machine learning algorithms and essential data structures.
- Proficiency in programming languages such as Python, R, or Java.
- Demonstrated experience with data manipulation libraries like NumPy and Pandas.
- Familiarity with machine learning libraries such as scikit-learn, TensorFlow, or Keras.
- Exceptional problem-solving acumen coupled with meticulous attention to detail.
- Proven ability to collaborate effectively within a team environment and adhere to technical directives.
- Eagerness to continuously learn and adapt to new technologies in the ML domain.
Required Skills
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Frequently Asked Questions – Associate ML Engineer at Syneos Health
The salary for an Associate ML Engineer at Syneos Health will be determined based on industry standards and the candidate’s qualifications and experience. Syneos Health offers competitive compensation packages.
To apply for the Associate ML Engineer role at Syneos Health, please visit the provided ‘Apply Link’. Follow the instructions on the careers page to submit your application for this hybrid position in Hyderabad.
The role requires proficiency in programming languages like Python, R, or Java, along with experience in data manipulation libraries such as NumPy and Pandas. Familiarity with ML libraries like scikit-learn, TensorFlow, or Keras is also essential for this Hyderabad-based opportunity.
This Associate ML Engineer position at Syneos Health offers a hybrid work model, combining both remote flexibility and on-site collaboration in Hyderabad. This allows for a balanced work environment.
Candidates should possess a Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field. A solid understanding of machine learning algorithms and data structures is also a key requirement.
How to Apply for Associate ML Engineer at Syneos Health
- Read through all job details and requirements on this page.
- Click the Apply Now button below to go to the official application page.
- Fill out the application form with accurate and complete information.
- Attach an updated resume highlighting skills like Python, R, Java, NumPy.
- Double-check your details before submitting.
Other Information
The Company reserves the right to assign additional tasks, duties, and responsibilities at its sole discretion.
We are not affiliated with Syneos Health. All job details are sourced from official postings.
Please verify all information on the official company website before applying.
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