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Data Science Manager
AntWorks
posted 4mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- The incumbent should have experience working with a variety of stakeholders across product engineering, sales engineering, and delivery to design and develop products aligned with the product vision and support the execution of customer-facing solutions
- He/she should also possess experience in leading a team of high-performing data scientists and overseeing their work products
- The candidate should demonstrate thought leadership, possess the ability to translate business requirements into data science problems, and provide solutions while adhering to strict timelines, budget, scope, and quality
- The candidate should be able to articulate the actionable insights drawn from cutting-edge data science models to senior leadership and business stakeholders
Academic:
- Deep technical knowledge from a leading institute PhD or Master s Degree in Computer Science, Data Science, or Statistics.
Experience:
- Articulating a roadmap for leveraging AI across product functionality.
- Communicating to stakeholders both within and externally around the value created and changes required across other functions.
Internal:
- To design, develop, and implement.
External:
- Attend client calls and document requirements.
- Minimum 10+ years of experience in the areas of ML-based products or services.
- Bachelor s degree in Computer Science, Software Engineering, Data Science, or equivalent engineering degree.
- Must have excellent communication, logical reasoning, and problem-solving attitude.
- Programming Skills: Minimum 4 years of experience in Python language, with the ability to implement good quality, optimized, and complexity-based codes. Familiarity with source control and code review is preferred.
- Basic understanding and workings of DevOps and MLOps tools.
Machine Learning:
- Experienced in implementing and fine-tuning supervised and unsupervised algorithms such as classification and regression algorithms.
- Building NLP applications with a good understanding of semantic extraction, data structure, data modeling, and text representations.
- Familiarity with machine learning and deep learning frameworks such as TensorFlow and PyTorch.
- Knowledge of deep learning and computer vision algorithms, with a good understanding of neural network architectures such as CNN, LSTM, and Transformers.
- Experience with production deployments for Python REST APIs and ML models.
Data:
- Understanding of data structures, data quality, data modeling, and software architecture.
- Proficiency in handling unstructured and semi-structured data.
Nice to Have:
- Experience with data visualization tools.
- Understanding of intelligent document processing, OCRs, and ICRs.
- Hands-on experience with Cloud ML Services (GCP/AWS/Azure).
- Cloud certification(s) in Machine Learning Specialization.
- Research, develop, and implement appropriate ML algorithms and tools.
- Collaborate with multiple team members and develop ML apps.
- Research and experiment with suitable ML frameworks, algorithms, libraries, and tools.
Employment Type: Full Time, Permanent
Functional Areas: Analytics & Business Intelligence
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Flexible timing
Monday to Friday
No travel
Day Shift
AntWorks Benefits
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