Updated: Today
Location: Hyderabad, TS, India
Job ID: 25107737
Description
Associate ML Engineer- Hyderabad (Hybrid)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.
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
Basic understanding of machine learning algorithms and data structures.
Experience with programming languages such as Python, R, or Java.
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.
Internship or co-op experience in machine learning or data science.
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.
Basic knowledge of SQL for database querying.
Participation in machine learning competitions or projects.
Willingness to pursue further certifications or education.
Get to know Syneos Health
Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.
No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.
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Additional Information
Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.
Summary
The Associate Machine Learning Engineer 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 Associate ML Engineer will collaborate with team members to ensure project milestones are met.Sign in to browse authentic reviews, anonymous ratings and salary data before you apply.