Onclusive | Staff Machine Learning Engineer

3 days ago

navi mumbai, India Onclusive Full time

As a Lead Machine Learning Engineer, you will own machine learning projects and work on implementing from experimentation to deployment. You will have the opportunity to grow not only as a technical but also as a people leader. At Onclusive, Lead Machine Engineers are critical for the company’s success, they are at the forefront of the decision making process regarding how machine learning solutions are integrated in our production systems.


Responsibilities


  • Own ML projects end-to-end, manage communication with ML leadership and various stakeholders to make sure projects are delivered according to requirements and resource / time constraints.
  • Lead and grow a machine learning team
  • Design and build scalable machine learning services.
  • Research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes.
  • Collaborate with data platform, product and MLOPs engineers to implement ML/AI based solutions.
  • Deploy, manage, and optimize inference services on autoscaling fleets with GPUs and specialized inference hardware.



Key Qualifications


  • BS, MS, or Ph.D. in Computer Science or related field and/or equivalent experience in the space.
  • 5+ years of machine learning research experience.
  • 3+ years of NLP experience focusing on neural network approaches (BERT, BART, RoBERTa, etc.)
  • 3+ years of cloud computing experience (preferably AWS).
  • 1+ years leading a machine learning team of at least 2 people.
  • Comfortable with modern tools for building ML pipelines, including data processing, training, inference, and evaluation.
  • Solid knowledge of Git, Docker.
  • Good Knowledge of Kubernetes
  • Proficiency with frameworks and models such as Pytorch, Torchserve, TensorFlow, TF Serving, Kubeflow, MLflow.

Why Onclusive?


  • Collaborative Environment: Thrive in an inclusive and supportive atmosphere where your ideas are valued.
  • Professional Growth: Take advantage of mentoring opportunities and explore novel dimensions of your skillset.
  • Cutting-Edge Tech: Immerse yourself in the latest advancements in machine learning.
  • Impactful Work: Contribute to solving real-world challenges and be a central piece of Onclusive’s innovative strategy.

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