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Data Science Manager - Computer Vision (6-10 yrs)

6-10 years

Data Science Manager - Computer Vision (6-10 yrs)

Xcel Hires Management Solutions

posted 18hr ago

Job Description

Job Description

Position : Data Science Manager

Experiece : 6+ Years

Location : Bangalore

Skills : Computer Vision, Deep Learning, ML Frameworks (Tensorflow / PyTorch), Python, Supervised & unsupervised

Key Responsibilities :

- Deep Learning & Computer Vision Solutions : Lead the development of deep learning-based computer vision algorithms to solve real-world applications in agriculture, infrastructure, and climate change.

- Scalability & Robustness : Apply strong problem-solving skills to develop quick POCs and scalable and robust deep-learning solutions that effectively handle various corner cases.

- Mentorship & Leadership : Lead and mentor a high-performing team of data scientists and engineers, fostering a collaborative, self-motivated environment. People management experience is a plus but not mandatory.

- Cross-functional Collaboration : Collaborate closely with stakeholders to align data science strategies with business objectives, helping to prioritize efforts and communicate progress on the long-term technology roadmap.

Qualification :

- Advanced degree (MSc/MTech/ME/PhD) in Computer Science, Engineering, Remote Sensing, Geospatial Science, or related fields preferred.

- 5+ years of experience in DL/ML/Data Science, with a strong focus on computer vision.

- 3+ years of tech lead experience in developing and scaling deep learning-based solutions.

Must-Haves :

- Strong foundation in computer vision and deep learning, with hands-on experience building and deploying algorithms for applications like vision foundational models along with supervised and unsupervised image classification, object detection, and segmentation.

- Proficiency in ML frameworks like TensorFlow or PyTorch.

- Expertise in Python and solid statistical knowledge.

- Proven ability to deliver both POCs and production-level solutions.

- Experience with remote sensing, geospatial data, or agriculture domain expertise is a plus but not mandatory.

Competencies :

- Fantastic communication skills that enable you to work cross-functionally with business folks, product managers, and technical experts, building solid relationships with a diverse set of stakeholders.

- The ability to convey complex solutions to a less technical person.

- Vast analytical problem-solving capabilities & experience.

- Bias for action.

Benefits :

- Medical Health Cover for you and your family including unlimited online doctor consultations

- Access to mental health experts for you and your family

- Dedicated allowances for learning and skill development

- Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves

- Twice a year appraisal

Interview Process :

- Intro call

- Assessment

- Presentation

- Interview rounds (ideally up to 3-4 rounds)

- Culture Round / HR round


Functional Areas: Other

Read full job description

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