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Workana
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Senior Machine Learning Engineer (Life Sciences & Biotech)

Workana
United StatesUnited States
Contract
Not Disclosed
Senior-Level

Job Description

Key Skills Required

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Cloud-Native WorkflowsModel DeploymentMicroservices

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As a Senior Machine Learning Engineer, you will lead the architecture, integration, and scaling of machine learning capabilities within ongoing, production-grade software systems. This role sits at the intersection of machine learning, software engineering, and platform architecture, where your primary focus will be turning models into robust, scalable, and observable production systems rather than pure exploratory research.

You will work on an ongoing project, taking ownership of ML pipelines, model integration, and engineering quality. We are seeking a proactive professional with a great attitude who can drive technical execution, collaborate with domain experts, and deliver high-impact solutions.

Responsibilities

  • Own the architecture and implementation of production-grade ML systems and workflows.
  • Transition models from development and research into scalable production services.
  • Design and build reliable training, inference, evaluation, and deployment pipelines.
  • Integrate ML models into APIs, backend services, applications, and core product workflows.
  • Optimize ML systems for latency, throughput, scalability, reliability, and cost-efficiency.
  • Establish engineering standards for model versioning, testing, observability, and deployment.
  • Collaborate closely with domain experts, data scientists, and cross-functional teams with a strong, collaborative attitude.
  • Diagnose and resolve technical bottlenecks across the ML application stack.

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Workana is a premier, enterprise-grade freelance marketplace platform engineered to orchestrate massive-scale talent ecosystems and intelligent frictionless remote work workflows. Operating as a highly integrated human capital hub, the company eliminates the operational friction of traditional localized recruitment by seamlessly deploying advanced talent-vetting telemetry, rigorous secure escrow architectures, and cohesive cross-border payment frameworks. Moving beyond rigid legacy staffing models, Workana empowers global enterprises, high-growth startups, and visionary entrepreneurs to dynamically synchronize their project delivery pipelines with elite autonomous execution. Under the hood, their sophisticated proprietary data infrastructure natively handles complex global professional ingestion (supporting over 3 million freelancers), instantaneous subject-matter expert routing across IT, design, and marketing verticals, and seamless project management integration, ensuring frictionless operational readiness and uncompromising security for more than 600,000 companies. What sets Workana apart is its uncompromising dedication to frictionless talent orchestration; by bridging the gap between rigorous enterprise quality standards and accessible regional talent pools in Latin America and Southeast Asia, the platform empowers organizations to radically accelerate their innovation velocity, optimize labor economics, and build an unassailable foundation for continuous commercial dominance in the modern borderless economy.

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Senior Machine Learning Engineer (Life Sciences & Biotech) at Workana | HireSkys