AI / ML with Java

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Job description

About Client:

The client is a global consulting, technology, and digital firm specializing in the financial services industry. Established in 2001, the company provides innovative solutions to help clients navigate digital transformation, enhance operational efficiency, and achieve strategic objectives. With a focus on banking, capital markets, and insurance, it leverages cutting-edge technologies such as blockchain, artificial intelligence, and data science to deliver customized IT solutions and business consulting services.

The company's commitment to innovation, combined with its industry expertise, positions it as a leader in driving technological advancements and helping financial institutions stay competitive in a rapidly evolving market.

Salary Range: $110K-$120K/Annum

Job Description:

ML Infrastructure Development:

Design and develop the ML infrastructure, including data ingestion, storage, and management systems.

Implement and maintain version control systems for ML models and datasets.

Develop and deploy automated ML workflows using tools such as TensorFlow, PyTorch, or Scikit-learn.

Model Deployment:

Collaborate with data scientists to develop and deploy ML models into production environments.

Ensure the smooth operation of deployed models by monitoring performance and identifying potential issues.

Implement model serving infrastructure using tools such as TensorFlow Serving or Hugging Face Transformers.

Data Management:

Develop and maintain data ingestion, storage, and management systems for ML workflows.

Ensure the quality and integrity of data used in ML models by implementing data validation and cleaning processes.

Implement data security measures to protect sensitive data.

Monitoring and Optimization:

Develop and maintain monitoring and logging systems for ML workflows.

Identify potential issues with deployed ML models and work with data scientists to resolve them.

Implement optimization techniques to improve the performance of ML models in production.

Collaboration and Communication:

Work closely with cross-functional teams, including data scientists, software engineers, and DevOps engineers.

Develop and maintain documentation for ML infrastructure and workflows.

Present findings and recommendations to stakeholders through clear and effective communication.

About ApTask:

ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-certified company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Candidate Data Collection Disclaimer:

At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.

If you have any concerns or queries about your personal information, please feel free to contact our compliance team at

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