Quantiphi Off-campus Drive 2024 hiring ML Engineer | BE/B-Tech

Quantiphi Inviting Fresher’s

Designation:ML Engineer
Batch:Not-Mentioned
CTC:8.5LPA(Expected)
Work Place:Bangalore/Mumbai
Experience:Fresher/Experienced
Qualification:Bachelor’s Degree

Quantiphi Off-campus Drive 2024 hiring ML Engineer | BE/B-Tech

Job Description

Job Description: Machine Learning Engineer – Responsible AI Focus

About the Role:

We are seeking an enthusiastic and motivated Machine Learning Engineer to join our dynamic team, focusing on Responsible AI. This role is tailored for individuals at the early stages of their careers who are keen on merging AI technology with ethical practices. The candidate will work in an R&D environment, working under the guidance of experienced professionals to explore and develop ethical, transparent, and fair AI systems through rigorous research and responsible AI techniques.

Responsibilities:

  • Assist in the development and implementation of AI systems, ensuring they adhere to ethical principles and Responsible AI guidelines.
  • Collaborate with cross-functional teams to integrate Responsible AI practices into various projects and business offerings.
  • Conduct research and experiments to refine Responsible AI applications in our initiatives.
  • Assist in creating educational programs to enhance organizational commitment to Responsible AI.
  • Keep updated with the latest trends in Responsible AI and Machine Learning, contributing to the team’s continuous learning

Requirements:

  • Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field.
  • Good understanding of machine learning concepts and the respective underlying mathematical know-how. 
  • Basic development skills in areas like NLP, NLU, LLMs, and Computer Vision, etc.
  • Passion for AI ethics, actively updating their knowledge with the advancements in Responsible AI principles, aiming for ethical AI development and deployment.
  • Familiarity with data analysis, AI ethics, Responsible AI Principles, and Best Practices, for implementing techniques adhering to the high standards of ethical AI development. 
  • Ability to translate abstract highlights into understandable insights in multiple knowledge-dissemination formats like blogs, presentations, paper publications, tutorials, and webinars
  • Strong analytical and problem-solving skills.
  • Effective communication and teamwork abilities.

Good to have:

  • Exposure to AI ethics and Responsible AI concepts through coursework, projects, or internships.
  • Experience with Responsible AI frameworks and techniques (e.g., Fairness Indicators, What-if tools, Learning Interpretability Tool (LIT), LIME, SHAP, etc.).
  • Knowledge of cloud environments like GCP/AWS, PyTorch, Tensorflow, and HuggingFace. 
  • Participation in AI-related projects or hackathons with a focus on ethical considerations.

About Company

Quantiphi is an award-winning AI-first digital engineering company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. 

Quantiphi has seen 2.5x growth YoY since its inception in 2013 to 3500+ team members globally. 

Quantiphi Off-campus Drive 2024 hiring ML Engineer | BE/B-Tech

How To Apply Steps:(Please apply before the deadline)

the short steps to Apply for a job using an “Apply Now” link:

  1. Click on the “Apply Now” link provided in the job posting.
  2. Read the job posting carefully To understand the position’s requirements and responsibilities.
  3. If required, create an account on CompanyName’s job portal or log in if you already have one.
  4. Upload your updated resume or CV.
  5. Complete the online application form.
  6. If requested, write and upload a cover letter.
  7. Review your application for accuracy and completeness, and then submit it to the HR Community of CompanyName.
  8. You may receive a confirmation email from CompanyName. Acknowledging your application submission.

Apply Now

Good luck with your job application with CompanyName.

Leave a Comment