Machine Learning Engineer

Key Responsibilities

• Develop and deploy machine learning models using libraries such as Pandas, scikit-learn, XGBoost,Tensorflow,Pytorch on Cloud platforms to deliver scalable and reliable AI solutions..
• Proficiency in Python programming languages.
• Proficiency in SQL for data management.
• Experience on ML algorithms like linear regression,SVM,XGBoost and clustering algorithms.
• Predictive Modelling & Time Series Analysis: Create predictive models and perform time series analysis to forecast trends and insights.
• Translate complex ideas and concepts into actionable AI/ML projects.
• Analyse and generate insights from large text corpora using Natural Language Processing (NLP) techniques.
• Leverage experience with Azure OpenAI for developing and deploying AI solutions.
• Experience with cloud platforms(AWS/Azure/GCP)
• Real time experience of 1-2 years with Generative AI and large language models (LLMs) for prompt engineering and Retrieval-Augmented Generation (RAG) approaches.
• Experience or knowledge in Optical Character Recognition (OCR) and computer vision is a plus.
• Knowledge on MLOps using model versioning and containerization is a plus.

Required Qualifications.

• 3-5 years in AI/ML with a focus on traditional machine learning techniques and libraries .
• Machine Learning: Proficiency in Pandas, scikit-learn, and XGBoost.
• Strong communication and interpersonal skills with the ability to communicate to clients to understand and translate requirements into technical projects
• Knowledge on MLOps using model versioning and containerization is a plus.

Desired Skills

• Strong analytical and problem-solving skills.
• Excellent communication skills, both written and verbal.
• Ability to work effectively in a team-oriented environment.
• Strong aptitude for innovation and creativity in solving complex problems.

Education

Degree: Bachelor’s or Master’s degree in computer science, Data Science, Engineering, or a related field.