Note: The job is a remote job and is open to candidates in USA. Agency is seeking an AI/ML Engineer Specialist to design and deliver machine learning solutions that combine modern research with practical deployment. The role involves developing end-to-end ML models, collaborating on real-world solutions, and engaging with stakeholders to translate technical insights into practical outcomes.
Responsibilities
• Design and deliver machine learning solutions that combine modern research with practical deployment.
• Develop End-to-End ML Models: Design, train, and evaluate models across supervised, unsupervised, and reinforcement learning domains tailored to diverse problem areas.
• Collaborate on Real-World Solutions: Work with engineers and data scientists to integrate models into deployable systems operating in production environments.
• Client-Focused Problem Solving: Engage with stakeholders to frame ambiguous problems, explore solution paths, and translate technical insights into practical outcomes.
• Explore, Iterate, Validate: Lead the exploration and analysis of datasets using tools like Pandas, NumPy, and Spark to inform model design and performance evaluation.
• Research-Driven Innovation: Identify opportunities to adapt state-of-the-art methods and productionize them to deliver measurable impact.
Skills
• 2+ years of hands-on experience building and deploying machine learning models using modern techniques.
• Proven ability to take models from prototype to production in Python-based workflows.
• Experience working directly with stakeholders to clarify requirements and inform project outcomes.
• Strong proficiency in Python and commonly used ML/data libraries (Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, etc).
• Familiarity with different model classes (e.g., regression, classification, recommendation, time series, NLP, reinforcement learning).
• Experience working with large-scale datasets using distributed tools such as Spark.
• Comfort navigating cloud environments (GCP, AWS, or similar); Databricks experience is a plus.
• Solid grasp of experimental design, model evaluation, and data debugging practices.
• Ability to write clean, modular, testable code in collaborative environments.
Benefits
• Health insurance
• PTO
Company Overview
• Invisible Technologies is the AI operating system for the enterprise. It was founded in 2015, and is headquartered in San Francisco, California, USA, with a workforce of 201-500 employees. Its website is https://www.invisible.co/.
Company H1B Sponsorship
• Invisible Technologies has a track record of offering H1B sponsorships, with 7 in 2025. Please note that this does not guarantee sponsorship for this specific role.