Senior Machine Learning Scientist

Elucidata; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Elucidata is looking for a passionate Senior Machine Learning Scientist in Bengaluru, India. In this role, you will design and optimize machine learning algorithms to analyze complex biological datasets. You will work closely with bioinformaticians and data scientists, contributing to innovative solutions in life sciences. The ideal candidate will have a Master's or Bachelor's degree and 3-4 years of relevant experience, with strong proficiency in Python and ML frameworks, alongside excellent communication skills.

Qualifications

• 3-4 years of experience in Machine Learning or a related field.
• Solid understanding of ML algorithms, including supervised and unsupervised learning.
• Experience with scalable computing platforms.

Responsibilities

• Design and implement machine learning algorithms for biological data.
• Stay updated with state-of-the-art ML methods.
• Collaborate with cross-functional teams on ML model integration.

Skills

Machine Learning algorithms

Python

Communication skills

Problem-solving skills

Education

Master’s or Bachelor’s in a related field

Tools

TensorFlow

PyTorch

Scikit-learn

Cloud technologies (AWS, GCP, Azure)

Job description

We are seeking a talented and motivated Senior Machine Learning Scientist to join our team, contributing to the development of advanced ML solutions for analyzing complex biological datasets. This role offers an exciting opportunity to work at the intersection of machine learning and life sciences, enabling transformative insights from multi-omics and biomedical data.

What You’ll Own

• Design, implement, and optimize machine learning algorithms for analyzing biological data, including genomics, transcriptomics, mass spec, and imaging datasets.
• Stay updated with state-of-the-art ML methods and their applications in life sciences to propose innovative solutions.
• Work closely with bioinformaticians, data scientists, and domain experts to ensure seamless integration of ML models into workflows.
• Optimize and deploy ML models on cloud platforms for scalable analysis.
• Collaborate on preprocessing, feature engineering, and quality control of large, noisy biological datasets

What Makes You a Great Fit

• Master’s or Bachelor’s & 3-4 years experience in Machine Learning, Computer Science, Bioinformatics, Computational Biology, or a related field.
• Solid understanding of machine learning algorithms (e.g., supervised, unsupervised, deep learning) and statistical methods.
• Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong problem-solving skills with an aptitude for interpreting complex biological data.
• Excellent communication and interpersonal skills, with the ability to work effectively in a collaborative environment.
• Experience working with cloud technologies (like AWS, GCP, Azure) and scalable computing platforms