Machine Learning Solutions Architect

21 hours ago

Erode, Tamil Nadu, India beBeeMachineLearning Full time US$ 1,80,000 - US$ 2,50,000
Job Description

We are seeking a seasoned Machine Learning Solutions Architect to join our team. As a key member of our data science team, you will be responsible for designing and developing machine learning solutions that drive business value.

Key Responsibilities
  • Engage with clients to understand their business objectives and challenges, providing data-driven recommendations and AI/ML solutions that enhance decision-making and deliver tangible value.
  • Translate business needs into well-defined machine learning problem statements and solution workflows.
  • Solve business problems using analytics and machine learning techniques: Conduct exploratory data analysis, feature engineering, and model development to uncover insights and predict outcomes.
  • Develop and deploy ML models, including supervised and unsupervised learning algorithms and model performance optimization.
  • Design and implement scalable, cloud-native ML pipelines and APIs using tools like Python, Scikit-learn, TensorFlow, and PyTorch.
  • Collaborate with cross-functional teams to deliver robust and reliable solutions in cloud environments such as AWS, Azure, or GCP.
Required Skills and Qualifications

To succeed in this role, you will need:

  • 4 to 7 years of relevant experience in building ML solutions, with a strong foundation in machine learning modeling and deployment.
  • Strong exposure to banking, payments, fintech or Wealth/Asset management domains, with experience working on problems related to marketing analytics, customer churn and retention analysis, credit risk assessment and scoring models, fraud detection and transaction risk modeling, and customer segmentation.
  • Experience in developing traditional ML models across business functions such as risk, marketing, customer segmentation, and forecasting.
  • Bachelor's or Master's degree from a Tier 1 technical institute or MBA from Tier 1 institute.
  • Proficiency in Python and experience with AI/ML libraries such as Scikit-learn, TensorFlow, PyTorch.
  • Experience in end-to-end model development lifecycle: data preparation, feature engineering, model selection, validation, deployment, and monitoring.
Benefits

You will have the opportunity to work on high-impact projects, collaborate with a talented team, and contribute to the growth and success of our organization.

Others

This is a challenging and rewarding role that requires strong technical skills, business acumen, and excellent communication skills.

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