Staff Machine Learning Engineer (10-14 yrs)

Job Title : Staff ML Engineer

Job Location : India (Remote)

Work Experience : 10-14 Years

RESPONSIBILITIES:

- Lead the implementation of a cutting-edge ML infrastructure, encompassing all facets from model inception to deployment, ensuring adherence to best practices and high overall quality standards.

- Provide exceptional technical leadership, mentoring, and guidance to a team of machine learning engineers, fostering a culture of continuous learning and innovation.

- Take ownership of critical projects and initiatives, providing project leadership, and ensuring successful delivery through effective project management and communication.

- Engage with stakeholders across the group, understanding their needs and working through the complexity and conflicting goals.

- Collaborate closely with data scientists to translate intricate model requirements into optimized data pipelines, ensuring impeccable data quality, processing, and integration.

- Spearhead the establishment of best practices for model versioning, experiment tracking, and model evaluation to ensure transparency and reproducibility.

- Architect and execute model deployment strategies, harnessing containerization (Docker) and orchestration (Kubernetes) for exceptional scalability and reliability.

- Engineer automated CI/CD pipelines that facilitate seamless model deployment, monitoring, and continuous optimization.

- Define and refine performance benchmarks, and optimize models and infrastructure to achieve peak efficiency, scalability, and robustness.

- Remain at the forefront of industry trends and emerging technologies, expertly integrating the latest advancements into our ML ecosystem.

REQUIREMENTS :

- Requires 10+ years of related experience with a Bachelor's degree in Computer Science; or a Master's degree with an equivalent combination of education and experience.

- Extensive experience orchestrating the development of end-to-end machine learning infrastructure for intricate and large-scale applications.

- Proven record of transformative leadership, guiding technical teams to achieve remarkable outcomes and innovation.

- Profound mastery of machine learning frameworks such as TensorFlow, PyTorch, or equivalent, coupled with Python programming.

- Deep expertise in containerization (Docker) and orchestration (Kubernetes) for orchestrating complex machine learning applications.

- Thorough comprehension of software engineering principles, version control (Git), and collaborative development workflows.

- Adeptness with cloud platforms (AWS or Azure) and utilization of cloud-native services for crafting robust ML infrastructure.

- Track record of successfully integrating DevOps practices, continuous integration, and continuous deployment (CI/CD) pipelines.

- Superior problem-solving acumen and ability to navigate intricate technical challenges with dexterity.

- Exceptional communication aptitude, capable of fostering effective collaboration across diverse teams and stakeholders