Job Location: Bangalore/Bengaluru
As a ML Engineer, you will be responsible for the below activities:
- The ML Engineer works closely with the development teams to manage, design, develop and deploy multiple AI applications across our working environment.
- Daily the team utilizes the latest technologies to assure ease of AI asset deployment and re usability across the various teams. To do this job successfully, you need exceptional skills in both data science and software engineering.
Skills and Experience
Demonstrates thorough abilities and/or a proven record of success as a team leader including:
- Ideally 10 to 13 years of relevant experience.
- Bachelors Degree in Computer Science, Engineering or other technical discipline (BE, BTech, MCA).
- Managing business development such as client relationship management and leading and contributing to client proposals.
- Delivering and tracking successfully large-scale projects, including ownership of architecture solutions and managing change.
- Leading, training and working with other data scientists in designing effective analytical approaches taking into consideration performance and scalability to large datasets.
- Developing and architecting solutions in at least 1-2 known machine learning frameworks and tools such as TensorFlow, Spark ML, Kubeflow.
- Working comfortably in multiple frameworks that can achieve high throughput and low latency of data, such as: Kafka, NiFi, HDFS.
- Orchestrating microservice solutions in container-based infrastructures, such as Kubernetes.
- Utilizing workflow management tools such as AirFlow, Argo to orchestrate both AI & Data pipelines.
- Creating CI/CD toolchains centered around tools such as Jenkins, Spinnaker, Teamcity, Azure DevOps.
- Adhering to agile software development practices.
- Working within cloud infrastructure and container-based infrastructures including containerization of Data Science tools such as JupyterHub, RStudio, TensorFlow, and PyTorch.
- Development, Deployment and Monitoring of models in deep learning frameworks such as Tensorflow, PyTorch, and CUDA.
- Developing and deploying in RAPIDS GPU accelerated pipelines.
- Adhering to lean IT principles and data driven approaches.
- Automating repetitive development, operations and deployment tasks as it relates to machine learning.
Other Skills
- Performing as a lead to generate a vision, establish direction, motivate members, create an atmosphere of trust, leverage diverse views, and encouraging improvement and innovation.
- Documenting systems, refining requirements, self-identify solutions and communicate to the team.
- Demonstrating a desire to keep learning, maintain own skill set, stay up to date and expand ones knowledge across the full stack.
- Demonstrating a desire to improve the status quo, especially automating and improving software development and operations processes to achieve massively higher delivery velocity and operations quality.
- Contributing to thought leadership through participation in the development of technology processes.
- Applying continuous independent judgement while collaborating with others and influencing others within the project and domain teams.
- Building and leveraging relationships as well as specialist level verbal and written communication skills.
Certification(s) Preferred:
PMI Certified, Agile Certified Scrum Master, Azure Fundamentals, Certified Associate in Python Programming, Certified Kubernetes Administrator, Sun Certified Java Programmer, Data Engineer Associate
Submit CV To All Data Science Job Consultants Across India For Free
🔍 Explore All Related ITSM Jobs Below! 🚀
✅ Select your preferred "Job Category" in the Job Category Filter 🎯
🔎 Hit "Search" to find matching jobs 🔥
➕ Click the "+" icon that appears just before the company name to see the Job Detail & Apply Link 📝💼