iMerit Technology
Location
Bangalore | India
Job description
ML Engineering Manager
Location: Bangalore Who we are iMerit 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. iMerit’s customers are able to focus on the algorithms that drive the AI systems embedded in their products and operations, while the iMerit team of trained specialists handles all data enrichment work required to support and refine such systems. Our Core Values Integrity: Bring fairness and honesty to everything we do; being ethical without fail, and without hesitation, in every situation Respect: Actively listen to all of our stakeholders. Treat everyone fairly and respectfully. Encourage people to learn, share, and grow. Commitment: Commit ourselves to strive for quality in everything we do, at all times. Measure ourselves always, and recalibrate often. Dependability: Deliver consistently on our commitments to the company, colleagues, and clients. Be trustworthy and resilient, even in chaotic times. Flexibility: Remain open to new ideas. Operate with the understanding that with each day comes a better, smarter, faster way of working. Impact: Create positive social and economic change throughout our communities, by always illuminating the existing opportunities. IMerit works with multiple clients who are spread across the spectrum in developing ML and AI solutions. iMerit 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 iMerit 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. What you will do 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. What we are looking for 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-learn or PyTorch . 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 DevOps, 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. To know more please visit the below linkJob tags
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