Ai/ml Lead Job in Suyati Technologies
Ai/ml Lead
Suyati Technologies
4+ weeks ago
- Bengaluru, Bangalore Urban, Karnataka
- Not Disclosed
- Full-time
- Permanent
Job Summary
AI-ML Technical Lead JD
We are looking for a highly motivated AI/ML Frameworks engineer to develop deep learning network models and applications in TensorFlow and pyTorch.
Key Responsibilities
- Lead development teams and software development projects to deliver high quality software on time with expected scope and budget.
- Work with Product Owners and Stakeholders to define technical options and translate business requirements into technical design and execution plans
- Deliver an exceptional customer and user experience by engaging with UX team.
- Help to define a vision and technical roadmap for the team with product leadership
- Take responsibility for architecture, test automation, and quality
- Design and execute a robust test automation strategy
- Own the team s software development lifecycle optimize it, tackle inefficiency and reduce waste
- Coach and mentor team members
- Contribute to the recruitment and selection of new team members
- Keeping up-to-date with industry trends and developments
- Promote Collaboration and Engagement
- Code Reviews. Ship Quality Code Fast
- Create technical POCs & solution demos
Technical Skills (Must Have)
7+ years of AI-ML experience with good exposure to agile software development methodology.
SNo Skill Area Years of experience Level of Expertise 1 Must have worked on at-least two big-data projects and/or data-driven decision making projects involving data engineering, analytics and data science 5+ 2 Expertise in the tools and techniques involving data preparation, movement and analysis of data including visualization, machine learning and NLP 3 Strong development experience in programming language Python (Numpy, Pandas, Matplotlib) and Machine Learning libraries (CARET, Scikit-Learn) 5+ Advanced 4 Deep Learning Frameworks (Tensor Flow/ PyTorch) 2+ Intermediate 5 Statistical modelling, ML Techniques and concepts 5+ Advanced 6 Model Deployment and Maintenance 2+ Intermediate 7 SQL 3+ AdvancedTechnical Skills (Good to Have)
SNo Skill Area Years of Exp Level of Expertise 1 Spark/ Spark MLlib 1+ Intermediate 2 Visualization tools Tableau/Power BI 1+ Intermediate 3 Cloud Azure ML/AWSSageaker 1+ Intermediate 4 ML Ops 1+ Intermediate 5 Automated ML 1+ Intermediate 6 NLP and Image/Video Analytics 2+ IntermediateNon Technical Skills (Must Have)
SNo Skill Area Level of Expertise 1 Team player with strong listening and interpersonal skills Intermediate 2 Should have analytical mind-set and good debugging skills. Intermediate 3 Effective written and verbal communication skills ExpertCertifications
- Any Data Science certification from a reputed institution would be a plus.
Experience Required :
7 to 10 Years
Vacancy :
2 - 4 Hires
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