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GenAI Engineer

Uttar Pradesh, India (Remote)

GenAI Engineer

3 Months ago • 3-5 Years • Human Resource • Undisclosed

About the job

9 skills required for this role

Add these skills to join the top 1% applicants for this job

tensorflow

python

pytorch

data-science

communication

innovation

employee-satisfaction

cross-functional

talent-acquisition

Job Description

SimplifyHire is seeking a GenAI Engineer to integrate generative AI technologies into its HR tech platform. Responsibilities include developing GenAI strategies, implementing models, enhancing HR services, and transforming recruitment processes. Must have experience with AI/ML projects, NLP, GANs, VAEs, and strong programming skills.

Must have:

AI/ML Projects
NLP, GANs, VAEs
Python Programming
Gen AI Technologies

Good to have:

TensorFlow, PyTorch
Strategic Thinking
Stakeholder Management
HR Domain Knowledge

About the job

Who Are We

SimplifyHire is an innovative AI first talent/recruitment platform that is redefining the way to engage with talent primarily for contingent labor/contract roles (known as direct sourcing platform). Our clients typically are large enterprise Fortune 500/Global 2000 companies and are always seeking innovative solution that can deliver savings and high-quality talent.

This is an exciting role for an individual looking to leverage their past experience to have the ability to work on a recruitment/talent solution for the future. The individual will be personally responsible for selling across industries and verticals.

Our company culture is innovative, creative and entrepreneurial, we are looking for an employee who will complement us by being independent, self-directed, creative, and be able to think outside the box.

Role & Responsibilities

The Generative AI Technology Engineer is responsible for executing, implementing, and overseeing the integration of GenAI technologies within our core HR Tech platform. This role combines technical expertise and a deep understanding of HR Tech platforms. You’ll collaborate with cross-functional teams, drive innovation, and leverage GenAI to enhance core HR platform including features like chatbot, job creation engine, workflow automation and co-pilot technology for recruitment.

Responsibilities

GenAI Strategy and Roadmap:

Work with our Gen AI leader to execute on the vision for GenAI adoption in HR.

Work on the roadmap for integrating GenAI into existing HR systems and processes.

Identify high-impact use cases and prioritize implementation.

Technical Goals

Stay abreast of the latest advancements in generative AI.

Work collaboratively withe a team of data scientists, engineers, and AI specialists.

Execute on model selection, training, and deployment.

GenAI Implementation

Collaborate with HR leaders to identify areas where GenAI can add value.

Oversee the development and deployment of GenAI models.

Ensure seamless integration with existing HR tools and platforms.

HR Service Enhancement

Implement GenAI-powered chatbots for customer-facing interactions.

Optimize HR platform service delivery by automating routine queries and tasks.

Enhance employee experience through personalized, AI-driven interactions.

Recruitment Transformation

Work closely with recruiters to leverage GenAI for crafting compelling job descriptions.

Generate insightful screening questions to improve candidate evaluations.

Enhance talent acquisition processes through AI-driven insights.

Performance Metrics And Evaluation

Define success metrics for GenAI implementation.

Monitor performance, analyze results, and iterate on models.

Measure cost savings, productivity gains, and employee satisfaction.

Qualifications

Education: Bachelor’s or master’s degree in computer science, data science, or a related field.

Experience:

Proven track record in AI/ML projects, preferably in HR or related domains. Minimum 3 years of experience with AI/Gen AI technologies in a challenging and creative work environment.

Familiarity with NLP, GANs, VAEs, and other generative AI techniques.

Skills:

Strong programming skills (Python, TensorFlow, PyTorch, etc.).

Strategic thinking and ability to align GenAI initiatives with business goals.

Excellent communication and stakeholder management skills.