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.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
   We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.