Job Description

Job responsibilities:

• Supporting company mission by understanding complex business problems through data-driven solutions.?

• Designing and developing machine learning pipelines in Python and deploying them in AWS/GCP, ...??

• Developing end-to-end ML production-ready solutions and visualizations.

• Analyse large sets of time-series industrial data from various sources, such as production systems, sensors, and databases to draw actionable insights and present them via custom dashboards.?

• Communicating complex technical concepts and findings to non-technical stakeholders of the projects

• Implementing the prototypes using suitable statistical tools and artificial intelligence algorithms.?

• Preparing high-quality research papers and participating in conferences to present and report experimental results and research findings.?

• Carrying out research collaborating with internal and external teams and facilitating review of ML systems for innovative ideas to prototype new models.?

Qualification And Experience

• B.Tech/Masters/Ph.D. in computer science, electrical engineering, mathematics, data science, and related fields.

• 5+ years of professional experience in the field of machine learning, and data science.

• Experience with large-scale Time-series data-based production code development is a plus.? Skills And Competencies

• Familiarity with Docker, and ML Libraries like PyTorch, sklearn, pandas, SQL, and Git is a must.

• Ability to work on multiple projects. Must have strong design and implementation skills.?

• Ability to conduct research based on complex business problems.?

• Strong presentation skills and the ability to collaborate in a multi-disciplinary team.?

• Must have programming experience in Python.?

• Excellent? English?communication skills, both written and verbal.?