Job#: 2081102

Job Description:

Role Responsibilities:

Design, build, and evaluate machine learning and deep learning models for classification, regression, recommendation, NLP, computer vision, and time-series forecasting.

Apply deep learning techniques (e.g., CNNs, RNNs, LSTMs, Transformers) to solve complex, data-intensive problems.

Lead the development of ML products, from model prototyping through production deployment, performance monitoring, and continuous improvement.

Select appropriate architectures and hyperparameters, optimize model performance, and use proper evaluation metrics (e.g., AUC, F1, BLEU, IoU, perplexity) based on the use case.

Collaborate with product managers and engineers to translate business challenges into deployable solutions using AI/ML.

Design automated pipelines for data preprocessing, feature engineering, training, and inference (batch or real-time).

Evaluate model drift, monitor performance post-deployment, and implement retraining pipelines as part of a production MLOps system.

Mentor junior data scientists, contribute to code reviews, and lead technical discussions across the data science and engineering teams.

Role Requirements:

Bachelor's degree in Computer Science, Statistics, Applied Math, or related field (Master's or PhD strongly preferred).

5+ years of industry experience in applied machine learning, with 2+ years focused on deep learning and neural network applications.

Experience in Banking, Payments or Financial Services formulating AI data solutions that allow us to leverage our data to know our customers better and target our resources for better market penetration and focused attention and education.

Proficiency in Python and ML libraries such as scikit-learn, XGBoost, TensorFlow, Keras, or PyTorch.

Deep understanding of neural networks, model regularization, overfitting/underfitting prevention, and GPU-accelerated training.

Experience with customer data enrichments.

Proven track record of building, evaluating, and deploying machine learning models at scale in production environments.

Experience with cloud platforms (AWS/GCP/Azure), containerization, and model serving technologies.

Excellent communication skills, with the ability to present complex findings to both technical and non-technical stakeholders.

Hands-on experience with real-world applications of deep learning, such as recommendation engines, fraud detection, customer segmentation, document summarization, image recognition, or speech processing.

Familiarity with MLOps tools (e.g., MLflow, SageMaker, Airflow, Kubeflow).

Experience with CI/CD for ML, feature stores, and real-time inference systems.

Contributions to academic research, open-source ML projects, or ML/AI patents

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfactionin the United States and Great Place to Work in the United Kingdom and Mexico.

Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.

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