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AI/ML Researcher

1 month ago

india TALENT XO Full time

MANDATORY CRITERIA EACH CANDIDATE SHOULD KNOW BEFORE APPLYING - OVER OR LESS EXPERIENCED CANDIDATES WILL NOT BE SHORTLISTED. IF YOUR PROFILE DOES NOT MATCH THE REVIEW CRITERIA YOU WILL NOT GET SHORTLISTED. BE READY WITH YOUR UPDATED CV THAT ALIGNS WITH JD AS COMPANY FOCUSES ON A SCREENING A CV A LOT. Whose Salary is below 15 LPA will not get shortlisted.Mandatory ( Company ) - Product company (AI/ML, Short video content platforms, social media platforms)

Mandatory ( Education ) - Btech/Mtech (Preferred Computer Science/Machine Learning, AI or related field) from Tier 1 colleges only (IIT, BITS, Top NITs, IIIT)

Review Criteria:

- Strong AI / ML specialist / Researcher profile

- Mandatory ( Experience ) - Minimum 2+ YOE in AI/ML or building content recommendation system developing and implementing machine learning models

- Mandatory ( Core Skills 1 ) - Experience in Python and machine learning libraries

- Mandatory ( Core Skills 2 ) - Must have strong understanding of recommendation system algorithms

- Highly Preferred Vector databases, TensorFlow, PyTorch, or scikit-learn

- Mandatory ( Company ) - Product company (AI/ML, Short video content platforms, social media platforms)

- Mandatory ( Education ) - Btech/Mtech (Preferred Computer Science/Machine Learning, AI or related field) from Tier 1 colleges only (IIT, BITS, Top NITs, IIIT)

List of Top 50 Premium Institutes - Specific Criteria:

CV Attachment is mandatory

Office Location

Remote Working

Role & Responsibilities:

You will play a crucial role in developing and implementing cutting-edge machine learning algorithms and techniques to power our recommendation systems.

This would include video component analysis, video classification with a vector database for the videos being posted on our app; and user profile analysis and classification (based on their likes, dislikes, friends etc) to create a video feed best suited to a particular user.

You will work closely with data scientists, product managers,and engineers to design, build, and deploy recommendation models that enhance user experience, drive engagement, and boost business metrics.

Ideal Candidate:

- PhD in Computer Science, Machine Learning, or a related field.

- Exposure in developing and implementing machine learning models.

- Strong understanding of recommendation algorithms, such as collaborative filtering,content-based filtering, and hybrid methods.

- Experience with Python programming language and machine learning libraries such as TensorFlow, PyTorch, or scikit-learn and Vector databases.

- Familiarity with cloud computing platforms such as AWS or Azure.

- Entrepreneurial mindset with strong decision-making, collaboration & communication skills.

- Ability to move quickly without breaking things too much (we are dreamers)

- Ability to work under immense pressure which is balanced by a sense of responsibility and ownership

(ref:hirist.tech)

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