Senior Machine Learning Engineer

2 days ago

Lucknow, Uttar Pradesh, India beBeeMachineLearning Full time US$ 1,50,000 - US$ 1,70,000
Unlock Advanced Forecasting Capabilities

We are transforming our demand forecasting capabilities through a cutting-edge machine learning platform. As a Senior Data Scientist/ML Engineer, you will design and operationalize sophisticated forecasting solutions at scale, blending hands-on machine learning with solid software engineering practices to deliver robust, scalable, and transparent forecasting capabilities.

About the Role:
  • Develop and deploy production-grade forecasting models leveraging industry-leading technologies
  • Create end-to-end machine learning pipelines for data ingestion, feature engineering, model training, and deployment
  • Build probabilistic models to quantify forecast uncertainty and drive informed decision-making
  • Write clean, modular, object-oriented code following best-in-class standards
  • Implement MLOps best practices including model versioning, monitoring, and CI/CD to ensure seamless integration
  • Collaborate with cross-functional teams (engineering, product, strategy) to align solutions with business objectives
  • Work with cloud-based environments (e.g., Databricks, AWS, GCP) for large-scale data processing and analysis
Requirements:
  • 3–6 years of relevant experience in Data Science/ML Engineering with a strong track record of success
  • Proven expertise in Python and core libraries such as pandas, numpy, scikit-learn
  • Hands-on experience with deep learning frameworks (preferably PyTorch) and distributed training methodologies
  • Experience working with large-scale datasets and cloud-based environments
  • Familiarity with MLOps practices (CI/CD, monitoring, retraining pipelines) and statistical modeling techniques
  • Solid understanding of regression, time series analysis, and data visualization principles
  • Excellent problem-solving, communication, and collaboration skills with the ability to work effectively in a team environment
What We Offer:
  • A dynamic and supportive work environment with opportunities for growth and professional development
  • A competitive compensation package with benefits and perks
  • The chance to work on exciting projects with a talented team of professionals

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