Machine Learning Engineer
4 days ago
About the Role
As a Machine Learning Engineer - I, you will be primarily responsible for the development, deployment and maintenance of machine learning and data engineering pipelines. You will also be actively contributing to the ML platform development and MLOps initiatives guided by senior members of the team. This role is based out of Bengaluru
In this role, you will:-
Data/ML Pipelines and Deployment(70%):
Development and maintenance of machine learning and data engineering pipelines. Own the model deployment process in the production environment, ensuring seamless deployments. Contribute to data preprocessing tasks, handling data pipelines, basic data cleaning, and feature engineering activities to support model development. Optimize pipelines for efficiency, scalability, and ease of maintenance. Implement best practices for data storage, retrieval, and processing. Implement best practices for pipeline scalability, parallelization, and reproducibility. Assist in documentation efforts, aiding in documenting basic model development processes, methodologies, and findings, and supporting comprehensive documentation.MLOps and Platform(20%):
Assist in integrating MLOps principles into the development lifecycle, supporting version control, basic monitoring, and collaboration within MLOps frameworks. Engage in foundational ML platform development tasks, aiding in basic infrastructure setup, under the guidance of senior team members. Collaborate with DevOps teams to establish continuous deployment pipelines and monitoring systems for deployed models. Work closely with the platform engineering teams to integrate new technologies and ensure the robustness and scalability of the platform.Mentorship and Collaboration (10%):
Collaborate with data scientists, data engineers, and other stakeholders to understand requirements and deliver effective ML solutions. Engage in continuous learning, exploring MLOps and deployment tools, and participating in workshops to enhance technical skills and contribute to task execution. Participate in discussions, share ideas, and offer support to team members in various ML engineering initiatives.Requirements:-
2 - 3 years of experience in the field of machine learning engineering. Hands-on experience in deploying ML models to production infrastructure. Proficiency in Python, coupled with hands-on experience in ML frameworks such as Tensorflow, Scikit-Learn, and PyTorch. Hands-on experience in designing and deploying data and ML pipelines. Hands-on experience with Docker and Kubernetes. Hands-on experience with SQL/NoSQL. Good understanding of Flask,FastAPI, and Django REST services. Proficiency in tools like MLFlow, DVC, Kubeflow, and Airflow.Our Commitment to Inclusivity and Diversity
At G2, we are committed to creating an inclusive and diverse environment where people of every background can thrive and feel welcome. We consider applicants without regard to race, color, creed, religion, national origin, genetic information, gender identity or expression, sexual orientation, pregnancy, age, or marital, veteran, or physical or mental disability status.
We support our employees by offering generous benefits, such as flexible work, ample parental leave.-
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