Machine Learning Engineer

2 days ago

Bengaluru, Karnataka, India beBeeMachineLearningEngineer Full time ₹ 1,04,000 - ₹ 1,30,878

About the Opportunity:

We are seeking an experienced Machine Learning Engineer to join our team in Data Science and Engineering.

Job Summary

The successful candidate will be responsible for developing, deploying, and maintaining machine learning models that drive business value through data science and engineering. They will work closely with cross-functional teams to identify opportunities, design solutions, and implement them using a range of technologies including deep learning frameworks, big data platforms, and cloud-based services.

  • Key Responsibilities
  • Design, develop, and deploy machine learning models that meet business requirements and achieve desired outcomes.
  • Collaborate with data scientists, software engineers, and product managers to understand business needs and translate them into actionable insights.
  • Work with big data platforms such as Hadoop, Kafka, Spark to process and analyze large datasets.
  • Develop and maintain high-quality, scalable, and secure code using languages such as Scala, Python, and Pyspark.
  • Mentor junior team members in machine learning skills and career development.
  • Stay up-to-date with emerging trends and technologies in machine learning and apply them to drive business innovation.

Required Skills and Qualifications

  • Education
  • Bachelor's or Master's degree in Computer Science, Applied Mathematics, Statistics, Physics, or related quantitative field.
  • Experience
  • 4+ years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency.
  • 2+ years of experience deploying machine learning algorithms into production environments, including model and system monitoring and troubleshooting.
  • Technical Skills
  • Expertise in MLOps frameworks and hands-on experience in MLOps tools preferably Google Vertex AI.
  • Highly proficient programming in Scala, Python, and/or Pyspark.
  • Good understanding of Big Data tech, specifically Hadoop, Kafka, Spark.
  • Experience in handling streaming data and real-time forecasting solutions deployment.
  • Solid understanding of data analysis techniques, including data cleaning, preprocessing, and visualization.

Bonus Points

  • Extensive experience with Deep Learning frameworks TensorFlow, PyTorch, or Keras.
  • PhD in Computer Science, Applied Mathematics, Statistics, Physics, or related quantitative field.
  • Extensive experience developing highly distributed ML systems at scale.

Benefits

  • Opportunity to work on challenging projects that drive business impact.
  • Collaborative and dynamic work environment with talented professionals.
  • Professional growth and development opportunities.

Others

  • Understanding of retail industry and pricing concepts is an added advantage.

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