AI/ML Lead

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+	Advanced

 

Technical 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+	Intermediate

Non – 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	Expert

 Certifications

• Any Data Science certification from a reputed institution would be a plus.

Apply Now