Senior Machine Learning Engineer

Syneos Health; Hyderabad; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Syneos Health in Hyderabad, India is seeking a Machine Learning Engineer II to help deploy and maintain ML models under guidance. The role covers data preprocessing, feature engineering, model training, and evaluation as part of a collaborative team.

You will learn advanced ML techniques, work with Python and common libraries, and contribute to model performance documentation, ensuring milestones are met. This position offers growth within a global biotech services organization and exposure to

Qualifications

• Bachelor's degree in CS, Engineering, Math, or related field.
• 3–4 years of ML engineering experience.
• Understanding of ML algorithms and data structures.
• Experience with SQL querying.
• Experience with data manipulation libraries (NumPy, Pandas).
• Experience with ML libraries (scikit-learn, TensorFlow, Keras).
• Strong problem-solving skills and teamwork.

Responsibilities

• Assist in developing and deploying basic machine learning models under supervision.
• Data preprocessing, cleaning, and transformation tasks.
• Support model training, testing, and validation processes.
• Contribute to documentation and reporting of model performance.
• Collaborate with senior engineers and data scientists to understand requirements.
• Participate in code reviews and maintain code quality.
• Continuously learn and apply new machine learning techniques and tools.

Skills

SQL

NumPy/Pandas

ML libraries

Python

Team collaboration

Education

Bachelor's degree in CS/Engineering/Math

Tools

Git

AWS/Azure

Jupyter

Cloud platforms

Job description

The Machine Learning Engineer II will be responsible for supporting the deployment and maintenance of machine learning models under the guidance of senior engineers. This role assists in data preprocessing, feature engineering, model training, and evaluation tasks. This role involves learning and applying machine learning algorithms and tools to real-world problems. The ML Engineer II will collaborate with team members to ensure project milestones are met.

Job Responsibilities

• Assist in developing and deploying basic machine learning models under supervision.
• Perform data preprocessing, cleaning, and transformation tasks.
• Support model training, testing, and validation processes.
• Contribute to documentation and reporting of model performance and results.
• Collaborate with senior engineers and data scientists to understand project requirements.
• Participate in code reviews and contribute to maintaining code quality.
• Continuously learn and apply new machine learning techniques and tools.

Qualification Requirements

Basic Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
• Three (3) to four (4) years of ML Engineering experience.
• Understanding of machine learning algorithms and data structures.
• Experience with SQL for querying.
• Experience with data manipulation libraries (e.g., NumPy, Pandas).
• Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, Keras).
• Strong problem-solving skills and attention to detail.
• Ability to work collaboratively in a team setting and follow technical guidance.

Preferred Qualifications

• Experience with data visualization tools (e.g., Matplotlib, Seaborn).
• Experience with version control systems (e.g., Git).
• Knowledge of cloud platforms from cloud service providers such as AWS or Azure.
• Experience with programming languages such as R, Python, or Java.
• Participation in machine learning competitions or projects.
• Willingness to pursue further certifications or education.