Note: ** Strong hands-on experience in Python, Data Science, ML libraries and frameworks, Gen AI / LLM, AWS, Microsoft cloud, MLOPs is needed to qualify for this role.

This role is Contract to Hire !

Please Note: To effectively evaluate and present suitable candidates for this role, it is crucial to thoroughly review the outlined Must-Have Skills and Nice-to-Have Skills provided in the job insights section. Candidates are expected to thoughtfully respond to technical pre-screen questions, avoiding generic answers or copying information directly from their resumes. The candidate's resume should comprehensively highlight their qualifications and showcase hands-on experience with the required skills. Additionally, it's essential to verify the credentials listed (i.e. employment details, education) on the resume. To facilitate easy assessment, the resume should be well-formatted in a Word document, featuring a concise and organized summary on the first page, presenting the candidate's skills and experience in bullet points. Thanks !

Responsibilities

Collaborate with business stakeholders to understand business requirements and translate them into technical specifications for a Machine Learning solution.
Perform data analysis, feature engineering, and model selection.
Apply various Machine Learning algorithms and Generative AI techniques to solve business problems
Develop and implement efficient MLOps pipelines and infrastructure for training and serving ML and Large Language models
Monitor and evaluate the performance of models, identify and address potential issues, and implement improvements.
Document design decisions, technical specifications, establish and adhere to code quality best practices.
Stay up-to-date on the latest advancements in AI and actively participate in knowledge sharing within the team
Work closely with external SMEs and vendors to partner on execution, and get knowledge-transfer on exit to ensure key subject matter expertise is retained and preserved within DTCC
Execution of projects at a rapid pace with the ability to multi-task and pivot as needed

Qualifications

Bachelor's or master's degree in computer science, Statistics, Data Science, or a related field
7+ years of experience in Machine Learning and Data Science.
Strong programming skills in Python; experience with Machine Learning libraries and frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn) and LLMs.
Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP).
Excellent communication and collaboration skills.
Ability to work independently and as part of a team.
Strong problem-solving skills and analytical thinking
Passion for learning and staying up-to-date with the latest advancements in Machine Learning

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Software Engineer (AI/ML Engineer)