Machine Learning Engineer

Education :

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related certifications or experience in NLP & CV.

Years of Experience :

Minimum 2 years of experience in Deep Learning, NLP,CV, MLOps and its related technologies.

Responsibilities :

• Design, develop, and deploy state-of-the-art NLP and CV models and algorithm
• Collaborate with cross-functional teams to understand requirements and develop customised NLP & CV solutions and have experience in building the python backend using Flask / Django.
• Database integration preferably using MongoDB or any other vector databases.
• Maintain and improve the performance, accuracy, and efficiency of existing AI / ML models and their deployment on Cloud platforms (AWS) and monitor their performance using MLOps tools such as MLFlow, DVC.
• Experience in building End to End data pipelines
• Stay updated with emerging AI / ML technologies, LLM's ,RAG
• Conduct regular performance evaluations of AI / ML models using production grade MLOps solutions.
• Troubleshoot and resolve any issues arising from the implementation of NLP & CV models.
• Develop and monitor the code that runs in production environments using MLOps practices.

Requirements :

Skills Required

Hadoop, Deep Learning, Tensorflow, Rest Api, Django, Nlp, Pytorch, MLops, Cv, Spark, Flask, Mongodb, Python, Aws