About the Role:

Machine Learning Data Scientist Specialist to drive the development, deployment, and optimization of machine learning models. The ideal candidate will have expertise in data science, machine learning (ML), and AI model fine-tuning. You will be responsible for training, fine-tuning, evaluating, and integrating language models into various applications/web use interface using Infinite AI Training/serving architecture to accelerate our ability to deliver predictive data capabilities in the Technology Operate and Production Management Team. 

Key Responsibilities:

Research, develop, and optimize machine learning models for various applications/ web use interface Fine-tune pre-trained models using domain-specific datasets. Implement, evaluate, and improve ML pipelines to enhance model performance. Design efficient training workflows and optimize inference performance. Work with cross-functional teams to integrate ML capabilities into products. Conduct rigorous testing and benchmarking of ML models.

Required Skills and Experience:

Experience with ML algorithms, statistical modelling, and predictive analytics. Proficiency in data preprocessing, feature engineering, and model evaluation. Experience in data visualization and exploratory data analysis (EDA). Hands-on experience with cloud computing services (AWS, GCP, Azure) and MLOps tools. Knowledge of big data technologies such as Spark, Hadoop, or distributed computing frameworks. Strong coding skills in Python, R, or Scala and familiarity with relevant libraries (Scikit-Learn, Pandas, NumPy). Excellent problem-solving skills and ability to work in a collaborative team environment.