Senior ML Engineering Specialist

4 days ago

Noida Pune Bengaluru Bangalore, India beBeeMachineLearning Full time US$ 1,50,000 - US$ 2,00,000

As a Machine Learning Operations Engineer, you will play a pivotal role in driving the successful deployment and management of machine learning models at scale.

  • You will be responsible for ensuring seamless model deployment, monitoring real-time performance, analyzing data, and proactively addressing performance issues to maintain high-quality outcomes.

Collaboration is key in this role, as you will work closely with DevOps engineers to manage cloud compute resources for ML model deployment and performance optimization. You will also collaborate with ML scientists, software engineers, data engineers, and other stakeholders to implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, and automated deployment.

Continuously improving processes and workflows is essential in this position, so you will stay updated with the latest advancements in MLOPs technologies and recommend new tools and techniques. You will contribute to the continuous improvement of team processes and workflows and share knowledge and expertise to promote a collaborative learning environment.

Software development is also a critical aspect of this role, as you will build software to run and support machine-learning models. You will develop and maintain documentation, standard operating procedures, and guidelines related to MLOPs processes, ensuring that these are up-to-date and accessible to all team members.

Ultimately, your goal as an MLOps Engineer will be to propose solutions and strategies to business challenges, working closely with Data Science teams, Front End Developers, DBA, and DevOps teams to shape architecture and detailed designs. You will conduct code reviews and mentor junior team members, fostering strong interpersonal skills, excellent communication skills, and collaboration skills within the team.

Mandatory Skills and Qualifications
  • Programming Languages: Proficiency in Python (3.x) and SQL.
  • ML Frameworks and Libraries: Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
  • Databases: Proficiency in SQL and NoSQL databases.
  • Mathematics and Algorithms: In-depth knowledge of mathematics, statistics, and algorithms.
  • ML Modules and REST API: Proficient with ML modules and REST API.
  • Version Control: Hands-on experience with version control applications (GIT).
  • Model Deployment and Monitoring: Experience with model deployment and monitoring.
  • Data Processing: Ability to turn unstructured data into useful information (e.g., auto-tagging images, text-to-speech conversions).
  • Problem-Solving: Analytically agile with strong problem-solving capabilities.

By joining our organization, you can look forward to a challenging and rewarding career as an MLOps Engineer, where you will have opportunities to grow professionally and make meaningful contributions to the success of our business.

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