Staff ML Engineer

4 days ago

Navi Mumbai, Maharashtra, India Digimind Full time ₹ 15,00,000 - ₹ 20,00,000 per year

As a Staff 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, 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.
  • 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).
  • 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.

What we can offer-

We are a global fast growing company which offers a variety of opportunities for you to develop your skill set and career. In exchange for your contribution, we can offer you:

  • Competitive salary and benefits
  • Hybrid working in a team that is passionate about the work we deliver and supporting the development of those that we work with
  • A company focus on wellbeing and work life balance including initiative's such as flexible working and mental health support

We want the best talent available, regardless of race, religion, gender, gender reassignment, sexual orientation, marital status, pregnancy, disability or age.

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