Talnt · 1 day ago
Machine Learning Engineer (contract)
Talnt is seeking a Machine Learning Engineer for a contract role focused on designing, developing, and deploying deep learning models for genomic and biomedical data. The engineer will collaborate with teams to build machine learning pipelines that support diagnostic and research applications.
Staffing & Recruiting
Responsibilities
Design, implement, and optimize deep learning models for image enhancement, classification, and analysis of genomic and biomedical data
Develop scalable machine learning solutions capable of operating on large, complex datasets in production environments
Build and maintain end to end ML pipelines including data preprocessing, model training, hyperparameter tuning, validation, and deployment
Implement model evaluation, monitoring, versioning, and reproducibility best practices
Write clean, well tested, and well documented Python code and reusable software packages
Translate ideas from technical research papers into working prototypes and production ready models
Collaborate closely with computational biology and cross functional teams to align technical solutions with scientific objectives
Communicate model performance, design decisions, and trade offs clearly to technical and non technical stakeholders
Qualification
Required
Masters degree with two or more years of relevant industry or research experience, or a PhD in Computer Science, Machine Learning, Computational Biology, Robotics, or a related quantitative field
Strong background in machine learning and deep learning, including hands on experience with CNNs, vision transformers, GANs, VAEs, and foundation models
Extensive experience training, tuning, validating, and optimizing deep learning models
Proficiency in Python and deep learning frameworks such as PyTorch, with TensorFlow or JAX experience a plus
Proven ability to implement research concepts into production quality code
Strong software engineering practices including testing, code review, version control, and documentation
Experience working with cloud platforms such as AWS, GCP, or Azure
Excellent written and verbal communication skills
Authorized to work in the United States
Preferred
Background or coursework in biology, genomics, or computational biology
Prior experience working with genomic, biomedical, or imaging datasets
Familiarity with MLOps tools, experiment tracking, model registries, and CI/CD workflows for machine learning