AI/ML Engineer II

This is a fully remote position, open to applicants in India.

📋 Description

• Design, develop, refine, and assess machine learning, deep learning, and Generative AI models, including Large Language Models (LLMs).

• Select suitable modeling techniques (supervised, unsupervised, NLP, deep learning) according to the problem context and data limitations.

• Enhance model performance across dimensions of accuracy, latency, scalability, and cost.

• Undertake thorough model evaluation, validation, and benchmarking utilizing large-scale datasets.

• Employ data preprocessing, feature engineering, augmentation, and synthetic data generation methods to bolster model robustness.

• Create and execute scalable, production-ready AI solutions that integrate with current platforms and workflows.

• Develop, maintain, and enhance MLOps pipelines for model training, deployment, monitoring, and lifecycle management.

• Deploy and oversee AI applications in cloud environments (Azure, AWS, or GCP), including containerization and orchestration when necessary.

• Track model performance in production; detect drift, degradation, or failures and implement corrective measures.

• Diagnose and resolve AI/ML engineering challenges across both development and production settings.

• Collaborate with Product Managers, Product Owners, Software Engineers, Data Scientists, and Research teams to ensure AI solutions align with business and product goals.

• Convert product requirements and use cases into technical architectures and model designs.

• Facilitate the integration of AI capabilities into customer-facing products and internal systems.

• Articulate technical concepts, trade-offs, and limitations effectively to non-technical stakeholders.

• Work with both structured and unstructured datasets, including healthcare, claims, and life sciences data, to develop high-performance AI systems.

• Ensure responsible handling, transformation, and validation of data utilized for model training and inference.

• Collaborate with data engineering and QA teams to guarantee data pipelines and AI workflows are production-ready and auditable.

• Stay updated with advancements in Generative AI, LLM architectures, model fine-tuning techniques, and applied machine learning.

• Contribute to internal best practices, standards, and reusable components for AI/ML development.

• Document AI/ML workflows, architectures, methodologies, and lessons learned for internal knowledge sharing.

• Proactively seek opportunities to enhance the scalability, reliability, and efficiency of existing AI systems.

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative discipline.

• At least 3+ years of hands-on experience in an AI/ML or data science position delivering solutions in production.

• Strong expertise in Python and SQL; experience in developing scalable ML/NLP workflows.

• Extensive hands-on experience with machine learning, deep learning, and natural language processing.

• Familiarity with Generative AI and Large Language Models, including techniques for fine-tuning and evaluation.

• Working knowledge of data preprocessing, feature engineering, and model validation methodologies.

• Experience in deploying AI solutions in cloud environments (Azure, AWS, or GCP).

• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).

🏝️ Benefits

• Health insurance

• Retirement plans

• Paid time off

• Flexible work arrangements

• Professional development

• Bonuses

• Stock options

• Equipment allowances

• Wellness programs