Engineering Manager, Identification Accuracy
J
JobgetherSecurity & IT
IndiaFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- Minimum of 2 years of experience leading ML, data science, or engineering teams and 5+ years of professional experience in software engineering, machine learning, data science, or a related technical field.
- Required Skills
- AgileMachine LearningData scienceSoftware EngineeringdbtMLOps
Requirements
- Minimum of 2 years of experience leading ML, data science, or engineering teams in an agile environment.
- 5+ years of professional experience in software engineering, machine learning, data science, or a related technical field.
- Demonstrated experience leading teams that build and operate production machine learning systems.
- Strong understanding of ML development workflows including data pipelines, feature engineering, model training, evaluation, and deployment.
- Proven ability to build, mentor, and develop high-performing multidisciplinary teams.
- Excellent communication skills with the ability to explain complex technical concepts to diverse audiences.
- Experience driving results in scaling environments where priorities shift and ambiguity is common.
- Strong collaboration skills and ability to work effectively with engineering, product, and business teams.
Responsibilities
- Lead and develop a multidisciplinary team of ML Engineers, Data Scientists, Analysts, and Analytics Engineers.
- Own and drive the team roadmap in partnership with engineering leadership and cross-functional stakeholders.
- Support the development, evaluation, deployment, and continuous improvement of machine learning models.
- Guide teams in building reliable production ML systems including data pipelines and model training workflows.
- Establish a culture of continuous improvement, experimentation, and data-driven decision-making.
- Collaborate with engineering, product, and customer-facing teams to translate challenges into technical priorities.
- Communicate model performance, technical tradeoffs, and roadmap decisions to technical and business stakeholders.
- Foster professional growth through coaching, feedback, and career development.
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