Full-Time Associate Principal Engineer, Machine Learning

REQUIREMENTS:

• Total experience: 11+ years.
• Strong working knowledge in Machine Learning and NLP.
• Strong hands-on programming skills in Python, with expertise in libraries such as scikit-learn, pandas, NumPy, TensorFlow/PyTorch.
• Deep understanding of supervised and unsupervised learning, NLP, deep learning, and model evaluation techniques.
• Hands on experience in Generative AI.
• Proven experience in designing and deploying ML pipelines and data workflows at scale.
• Proficiency with MLOps tools.
• Experience with version control, containerization, and CI/CD in ML environments.
• Strong understanding of data preprocessing, feature selection, and model interpretability techniques.
• Experience with cloud platforms (AWS, GCP, Azure) for ML deployment.
• Familiarity with generative AI models and LLMs.
• Excellent communication and collaboration skills.

RESPONSIBILITIES:

• Understanding functional requirements thoroughly and analyzing the client’s needs in the context of the project
• Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it
• Determining and implementing design methodologies and tool sets
• Enabling application development by coordinating requirements, schedules, and activities.
• Being able to lead/support UAT and production roll outs
• Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it
• Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
• Giving constructive feedback to the team members and setting clear expectations.

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

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