Associate ML Engineer- Hyderabad (Hybrid) at Syneos Health

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

02 Sep, 26

Salary

0.0

Posted On

04 Jun, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, R, Java, NumPy, Pandas, Scikit-learn, TensorFlow, Keras, Data Preprocessing, Feature Engineering, SQL, Git, AWS, Azure, Data Visualization

Industry

Biotechnology Research

Description

Associate ML Engineer- Hyderabad (Hybrid) Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress. Every day we perform better because of how we work together, as one team, each the best at what we do. We bring together talented experts across a broad spectrum of business critical corporate functions. Every role plays an essential part in enabling our customers to achieve their goals. Our teams are agile, collaborative, and committed to delivering—for each other, for our customers, and ultimately for the people who rely on the services we support. Discover what your 25,000 future colleagues already know: Why Syneos Health • We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. • We are committed to building an inclusive culture – where you can authentically be yourself. Central to this is our purpose – Driven to Deliver – which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone’s life. • We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress. Job Responsibilities 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. 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. 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. Preferred Qualifications 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. http://www.syneoshealth.com 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. Discover what our Syneos Health colleagues already know: work here matters everywhere. Work alongside the brightest minds in the biopharmaceutical industry taking down walls and removing barriers to speed our customers’ delivery of important therapies to patients. We are strategic thinkers who actively seek different perspectives, whether across offices or across oceans. Because we solve some of the toughest challenges facing the most prestigious healthcare companies today, you'll gain exposure and be supported with comprehensive resources including emerging technologies, data, science and knowledge sharing. The diversification and breadth of Syneos Health creates a multitude of career paths and employment opportunities. We’re a growing, global company dedicated to advancing our talent past their initial role. Discover what our 29,000 employees already know: work here matters everywhere. We work hard, and smart, all in the name of getting much-needed therapies to those who need them most. A career with Syneos Health means your everyday work improves patients’ lives around the world. Selecting us as an employer secures a career in which you’re guaranteed to: Partner with the most diverse team of experts in the industry. From the top down, our people are inspiring. Everyone has a voice and is encouraged to use it. Work in specialized Syneos Health teams that are therapeutically or functionally aligned for expert collaboration. We assemble clinical teams where everyone, from CRAs to senior management, is skilled in the same therapeutic area or customer teams. With this structure, everyone on your team speaks the same language and can deliver unique insights into the therapeutic environment and patient population. We are partners with purpose. We integrate seamlessly with our customers and do what’s best for their success. Our people provide the brilliant ideas, valuable insights and endless energy that accelerates the impact of life changing therapies worldwide.

Responsibilities

Support the deployment and maintenance of machine learning models, including data preprocessing and feature engineering. Collaborate with senior engineers to train, evaluate, and document model performance to meet project milestones.