i Merit is a leading AI data solutions company providing high-quality data across computer vision, natural language processing and content services that power machine learning and artificial intelligence applications for large enterprises. i Merit’s customers are able to focus on the algorithms that drive the AI systems embedded in their products and operations, while the i Merit team of trained specialists handles all data enrichment work required to support and refine such systems.
Position - ML Engineering Manager
Domain - AI
Experience - 12+ Years
Location - Bangalore
IMerit works with multiple clients who are spread across the spectrum in developing ML and AI solutions. i Merit uses ML/AI to automate and improve the quality of the productized services that we offer to our customers in the data annotation space. The i Merit ML team is at the forefront of developing various automation solutions across different industry verticals, technology domains and data modalities. We are looking for an experienced, hands-on engineering manager who will lead the ML team in their various efforts.
Responsibilities:
Team Leadership
- Lead and mentor a team of machine learning and computer vision engineers.
- Foster a collaborative environment that encourages innovation and continuous improvement.
Technical Leadership
- Oversee the design, development, and deployment of machine learning models.
- Ensure adherence to best software/ML development practices, coding standards,
and quality assurance processes.
- Oversee the productionization of scalable ML solutions.
- Evaluate and select appropriate tools, frameworks, and technologies.
- Participate in architecture, design and code reviews.
Project Management
- Monitor project progress, identify risks, and implement mitigation strategies.
- Ensure timely delivery of projects, meeting quality standards and budget constraints.
Strategic Planning
- Align machine learning initiatives with the company's strategic goals.
- Identify opportunities for leveraging ML to create business value.
- Contribute to technology roadmaps and long-term planning.
Collaboration
- Work closely with other engineering teams, data analysts, and business stakeholders to define problem statements and to operationalize solutions.
- Facilitate communication and collaboration across teams and departments.
- Represent the team in cross-functional meetings and executive briefings.
Required Skills:
- 12+ years of work experience with a solid background in software engineering and machine learning.
- Minimum 7 years of experience in machine learning with at least 5 years in a leadership or managerial role. At least 3 years of experience in building production-grade scalable ML pipelines.
- Advanced proficiency in Python and ML frameworks like Tensorflow, Keras, Scikit-learnor Py Torch. Proficiency in a system language such as Rust, C++, or Java would be an advantage.
- Proven ability to deliver a shippable solution given conflicting and ambiguous requirements.
- Experience with cloud build, deployment, and orchestration tools.
- Experience with MLOps tools and frameworks.
- Experience with Dev Ops, Big Data and Cloud platforms is a big plus.
- Demonstrable analytical and debugging skills.
- Excellent communication and interpersonal skills.
- In-depth awareness of the latest technologies and trends in Generative AI would be an advantage
- Self-motivated, with an ability and in learning new technologies and adapting quickly to new requirements and environments.