Description

You will build and deploy machine learning models to solve complex business problems and automate software engineering workflows.

This role is remote.

Responsibilities

• Develop and implement AI/ML models to automate coding, design self-healing code, and predict defects.
• Train and evaluate models using large datasets for time series analysis and optimized regression case identification.
• Design and develop data pipelines to preprocess and transform data for model consumption.
• Optimize and fine-tune models to improve performance, accuracy, and dependability.
• Collaborate with cross-functional teams to translate business requirements into technical AI/ML solutions.

Required Skills

• 6-9 years of demonstrated experience in applied AI/ML engineering.
• Strong Python programming skills with experience maintaining production-level code.
• Deep understanding of AI/ML algorithms, including deep learning, time series forecasting, and natural language processing.
• Proficiency in working with large datasets and data preprocessing.
• Experience deploying and scaling models on AWS.
• Solid understanding of software testing, SRE practices, DevOps, and observability.
• Knowledge of infrastructure operations.

Preferred Skills

• Experience with LLMs, Generative AI, Langchain, Vector databases, and RAG solutions.
• Backend development experience with SQL, NoSQL, Graph databases, Java, Node.js, and microservices.

Key Skills

Education

Any Graduate