Offer summary

Qualifications:

Master's degree in Machine Learning, Computer Science, Statistics, or a related field., 10+ years of experience in AI/ML, including deploying complex solutions in production., Strong programming skills in Python or R, with expertise in TensorFlow, PyTorch, or equivalent., Expertise in designing and optimizing deep learning architectures and advanced ML models..

Key responsabilities:

Develop and implement advanced ML and AI models for complex business challenges.

Collaborate with data engineers and product teams to translate business objectives into impactful AI solutions.

Design end-to-end ML pipelines, optimizing for performance, scalability, and reliability.

Mentor junior team members and drive thought leadership in ML/AI practices.

We are a staffing solutions and IT Solutions company that provides you with a platform to find the right fit for your desired job profile. The employment situation is constantly shifting with the changing times, and we are here to ensure that you gather the workforce that compliments your long-term goals. We understand the struggle of the search for talent that accommodates the skills and qualifications for specific profiles, one that blends in with the theme of your organization. We aim to be the best available source for young talent to find their dream jobs, by helping them narrowing down their options to the most suitable work profiles available in the market. At RIG, we consistently work towards creating the latest technology that may not only simplify your work process but also provides you with the most cost-effective solutions. We work hard to make sure that your business strives in the market to be on the top in your field.

Job description

Senior Data Scientist – Advanced Machine Learning & AI
Seattle WA /Remote

Experience Level: Senior (Ph.D. preferred)
We are seeking an exceptionally skilled Data Scientist with deep expertise in advanced machine learning (ML) and artificial intelligence (AI). The ideal candidate will have a strong foundation in cutting-edge AI methodologies, model optimization, and algorithm design, paired with experience leveraging cloud technologies such as Google Cloud Platform (GCP) and Vertex AI to deploy scalable solutions.
Key Responsibilities and Skills

Develop and implement advanced ML and AI models, including deep learning, reinforcement learning, and generative AI, for complex business challenges.
Innovate in areas such as explainable AI, transfer learning, and real-time decision-making systems.
Design end-to-end ML pipelines, optimizing for performance, scalability, and reliability.
Collaborate with data engineers and product teams to translate business objectives into impactful AI solutions.
Proficiency in advanced ML techniques, including ensemble methods, neural networks, and unsupervised learning.
Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
Use GCP tools like Vertex AI, BigQuery, and Dataflow for model training, experimentation, and deployment.
Apply MLOps practices to ensure robust monitoring, retraining, and model lifecycle management.
Research and integrate state-of-the-art ML frameworks (e.g., TensorFlow, PyTorch) and algorithms.
Analyze large, unstructured datasets, applying techniques like feature selection, dimensionality reduction, and clustering.
Mentor junior team members and drive thought leadership in ML/AI practices.

Qualifications

Master's degree in Machine Learning, Computer Science, Statistics, or a related field
10+ years of experience in AI/ML, including deploying complex solutions in production.
Expertise in designing and optimizing deep learning architectures and advanced ML models.
Experience with big data technologies like Spark and cloud platforms such as GCP or equivalent.
Strong programming skills in Python or R, with expertise in TensorFlow, PyTorch, or equivalent.

Preferred Qualifications

Ph.D. in Machine Learning, Computer Science, Statistics, or a related field
Publications or patents in AI/ML.
Experience in applying AI to domains like NLP, CV, or time-series analysis.
GCP certifications (e.g., ML Engineer, Data Engineer).

Senior Data Scientist

Offer summary

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Key responsabilities:

Job description

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Experience

Hard Skills

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