Description

Key Skills: Python, Machine Learning, Predictive Modeling, Statistical Modeling, Natural Language Processing (NLP), Conversational AI, Deep Learning, PyTorch, TensorFlow, Apache Spark, Exploratory Data Analysis (EDA), API Development

Roles & Responsibilities:

• Develop predictive and statistical machine learning models using supervised and unsupervised learning techniques.
• Build and enhance NLP and conversational AI solutions for real-world applications.
• Perform data preparation, feature engineering, and model evaluation activities.
• Conduct exploratory data analysis (EDA) and derive actionable insights from datasets.
• Translate machine learning research and data mining techniques into production-quality Python code.
• Design and implement APIs and software architecture for ML prototypes and applications.
• Conduct model selection, experimentation, and performance optimization activities.
• Collaborate with engineering and product teams to deploy scalable AI solutions.
• Develop and maintain reliable, efficient, and production-ready ML pipelines.
• Support continuous research, experimentation, and innovation initiatives in AI/ML.

Experience:

• 3-5 years of relevant experience in AI/ML Research or Machine Learning Engineering.
• Minimum 2+ years of experience for PhD candidates in AI/ML research or engineering.
• Strong hands-on experience in predictive and statistical modeling techniques.
• Experience in NLP and conversational AI model development.
• Strong programming expertise in Python with software engineering best practices.
• Experience with model selection, evaluation, and performance optimization techniques.
• Hands-on experience with deep learning frameworks such as PyTorch and/or TensorFlow.
• Experience with Apache Spark for large-scale data processing is preferred.
• Strong analytical, problem-solving, and research capabilities.

Education:  Any Graduation

Key Skills

Education

Any Graduate