Summary:
We are looking for a Lead Machine Learning Engineer to design, develop, and deploy advanced ML solutions. This role offers the opportunity to lead innovative projects, architect scalable ML platforms, and collaborate with cross-functional teams in a dynamic, fast-paced environment.
Location - Bangalore Hybrid
Your Future Employer
A globally recognized organization specializing in AI and analytics, delivering high-impact solutions for Fortune 1000 clients.
Responsibilities:
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Lead the ML Engineering team, setting strategic goals for ML system design and innovation.
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Develop and implement ML platform accelerators, including MLOps, Model Monitoring, and LLM Ops.
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Design high-performance ML pipelines, ensuring scalability, low latency, and high throughput.
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Collaborate with cross-functional teams across Deep Learning, Distributed Systems, and Product Engineering.
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Troubleshoot, optimize, and enhance system performance, ensuring reliability and efficiency.
Requirements:
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4-8 years of ML experience with expertise in Python, TensorFlow, PyTorch, SparkML, and NLP.
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2- 3 years of Spark programming experience, including exposure to Databricks, EMR, or Dataproc.
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Hands-on experience with production ML deployments on cloud platforms (AWS, GCP, Azure).
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Strong background in MLOps, Model Deployment, CI/CD pipelines, and Cloud Databases.
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Proficiency in SQL, Spark SQL, distributed data processing, and performance optimization.
What’s in it for you
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Work on innovative AI-driven projects with cutting-edge technologies.
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Competitive compensation package and career growth opportunities.
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Flexible work model with a hybrid work environment.