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Data Science Architect
2 months ago
- Minimum 10 years of relevant experience or 3+ years of relevant experience in Data Science related technologies.
- Good knowledge in statistics and deep understanding of ML algorithms and their usage.
- 3+ years of experience in Python application programming, Django/Flask/REST frameworks.
- 2+ years of experience in deployment (DevOps) - Dockers, Openshift, Kubernetes.
- Python skills must include Pandas, NumPy, Sci-kit, TensorFlow, NLTK.
- Experience in image processing will be an added advantage.
- Must be a technically competent person to handle the project/team from requirements-design to development-deployment.
- Expectation is to be a hands-on person.
- Very good communication and presentation skills.
- Experience in mentoring teams.
- Experience working directly with customer senior executives will be essential.
- Ability to understand customer roadmap and contribute towards the same.
- Ability to interface with customer business teams, understand requirements and translate it to technical, resource requirements.
- Work with internal stakeholders (delivery, competency, TLW, HR) in building teams proactively mapping to customer needs.AUTOMATION TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. AUTOMATION TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will AUTOMATION TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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