Kaizen Lab Inc.
Rapid Strategy is an award-winning, African-American-owned small business providing advanced cybersecurity and IT services to federal and commercial clients. Our mission is to deliver secure, high-impact solutions that support national objectives and operational resilience. We are currently seeking a
Data Scientists to support an existing federal customer, contingent upon contract award. This role will support the development, deployment, and continuous improvement of AI/ML and Generative AI solutions in a secure cloud environment. The ideal candidate will combine deep technical expertise in Python, NLP, and statistical modeling with hands-on experience deploying models in production environments. The role includes responsibilities across solution development, model maintenance, and team collaboration. Responsibilities · Research, design, and deploy machine learning and AI models in cloud environments, applying an iterative, hands-on approach. · Translate business needs into predictive and prescriptive models that deliver tangible value across the enterprise. · Implement and fine-tune models using frameworks such as Transformer, Scikit-learn, SpaCy, XGBoost, and deep learning libraries. · Lead the development of new Generative AI capabilities using technologies like GPT, Claude, or HuggingFace platforms. · Collaborate with cross-functional teams to understand unique business challenges and apply AI/ML to solve them. · Utilize AWS data and AI services to develop scalable data pipelines and model training infrastructure. · Maintain a detailed understanding of existing AI/ML models, including data pipelines, training methodology, infrastructure, and monitoring tools. · Establish processes to monitor, retrain, and improve model accuracy and performance over time. · Expand and improve training datasets while validating input data quality. · Present insights and model outputs to technical and non-technical stakeholders, supporting informed decision-making. · Collaborate with data engineers, analysts, and business teams to align models with operational objectives. Required Qualifications · 6 to 10 years of hands-on experience developing, deploying, and maintaining AI/ML solutions in professional or academic environments. · Bachelor’s degree in Computer Science, Data Science, or a related technology field (Master’s preferred). · Advanced proficiency in Python and experience with additional programming languages (e.g., R, Java). · Deep knowledge of statistical modeling, machine learning, and data analysis techniques. · Experience deploying AI/ML models in AWS environments, using services like S3, SageMaker, Lambda, or DynamoDB. · Proficiency with Natural Language Processing (NLP) techniques (e.g., Text Normalization, NER, POS tagging, word embeddings). · Familiarity with Generative AI tools and concepts, including prompt engineering and fine-tuning large language models (LLMs). · Strong analytical and problem-solving skills, with the ability to work independently and collaboratively. Preferred Qualifications · Experience with cloud-native DevSecOps, CI/CD pipelines for ML models, and model version control. · Knowledge of federal data governance, privacy, and compliance requirements (e.g., FedRAMP, FISMA). · Prior experience supporting federal agencies or regulated industries in data science or AI strategy roles. · Contributions to open-source AI/ML projects or published research. Who Should Apply This role is ideal for experienced data scientists, ML engineers, and AI technologists passionate about building and maintaining impactful AI/ML products. If you bring strong technical depth, a clear understanding of operational AI, and an eagerness to innovate with generative AI and NLP in secure environments, we encourage you to apply. This is a high-impact opportunity for professionals seeking mission-driven work in a collaborative and forward-looking setting.
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Data Scientists to support an existing federal customer, contingent upon contract award. This role will support the development, deployment, and continuous improvement of AI/ML and Generative AI solutions in a secure cloud environment. The ideal candidate will combine deep technical expertise in Python, NLP, and statistical modeling with hands-on experience deploying models in production environments. The role includes responsibilities across solution development, model maintenance, and team collaboration. Responsibilities · Research, design, and deploy machine learning and AI models in cloud environments, applying an iterative, hands-on approach. · Translate business needs into predictive and prescriptive models that deliver tangible value across the enterprise. · Implement and fine-tune models using frameworks such as Transformer, Scikit-learn, SpaCy, XGBoost, and deep learning libraries. · Lead the development of new Generative AI capabilities using technologies like GPT, Claude, or HuggingFace platforms. · Collaborate with cross-functional teams to understand unique business challenges and apply AI/ML to solve them. · Utilize AWS data and AI services to develop scalable data pipelines and model training infrastructure. · Maintain a detailed understanding of existing AI/ML models, including data pipelines, training methodology, infrastructure, and monitoring tools. · Establish processes to monitor, retrain, and improve model accuracy and performance over time. · Expand and improve training datasets while validating input data quality. · Present insights and model outputs to technical and non-technical stakeholders, supporting informed decision-making. · Collaborate with data engineers, analysts, and business teams to align models with operational objectives. Required Qualifications · 6 to 10 years of hands-on experience developing, deploying, and maintaining AI/ML solutions in professional or academic environments. · Bachelor’s degree in Computer Science, Data Science, or a related technology field (Master’s preferred). · Advanced proficiency in Python and experience with additional programming languages (e.g., R, Java). · Deep knowledge of statistical modeling, machine learning, and data analysis techniques. · Experience deploying AI/ML models in AWS environments, using services like S3, SageMaker, Lambda, or DynamoDB. · Proficiency with Natural Language Processing (NLP) techniques (e.g., Text Normalization, NER, POS tagging, word embeddings). · Familiarity with Generative AI tools and concepts, including prompt engineering and fine-tuning large language models (LLMs). · Strong analytical and problem-solving skills, with the ability to work independently and collaboratively. Preferred Qualifications · Experience with cloud-native DevSecOps, CI/CD pipelines for ML models, and model version control. · Knowledge of federal data governance, privacy, and compliance requirements (e.g., FedRAMP, FISMA). · Prior experience supporting federal agencies or regulated industries in data science or AI strategy roles. · Contributions to open-source AI/ML projects or published research. Who Should Apply This role is ideal for experienced data scientists, ML engineers, and AI technologists passionate about building and maintaining impactful AI/ML products. If you bring strong technical depth, a clear understanding of operational AI, and an eagerness to innovate with generative AI and NLP in secure environments, we encourage you to apply. This is a high-impact opportunity for professionals seeking mission-driven work in a collaborative and forward-looking setting.
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