Recruiter - AI & Data Engineering Hiring

Embitel Technologies; Bengaluru; Hybrid; INR 502,000 - 725,000; Part time

Job summary

Embitel Technologies in Bengaluru is seeking a dynamic Recruiter to lead end-to-end hiring for AI, ML, Data Engineering, Data Science, Analytics, MLOps and related tech roles on a contract basis.

The role requires 1–3 years of technology recruiting experience, strong sourcing skills, and the ability to collaborate with hiring managers. Hybrid work in Bangalore, initial 6 months with extension potential based on performance.

Qualifications

• Bachelor's degree in HR, Business Admin, or related field.
• 2–5 years of recruitment experience, preferably in technology hiring.
• Proficient with tech-recruitment methodologies and sourcing.
• Experience using LinkedIn Recruiter, Naukai, Workday or similar ATS.
• Excellent communication and stakeholder management.
• Ability to work in fast-paced, target-driven environment.

Responsibilities

• Manage end-to-end recruitment lifecycle from requisition intake to offer rollout and onboarding.
• Understand hiring requirements and create sourcing strategies aligned with business needs.
• Schedule and coordinate interviews with candidates and hiring teams.
• Ensure a positive candidate experience throughout the hiring process.

Skills

End-to-end recruitment

Sourcing strategies

Candidate screening

Stakeholder management

ATS experience

Communication

Tech recruiting

Education

Bachelor's degree in HR / Business Admin

Tools

LinkedIn Recruiter

Naukri

Workday (ATS)

Job description

Job Title: Recruiter - AI & Data Engineering Hiring

Location:

Bangalore (Hybrid) ( Near Arekere gate , Banneergetta road)

Employment Type:

Contract (Initial 6 Months, Extendable Based On Performance)

Experience:

1 to 3 Years

Joining Requirement:

Immediate to 15 Days Preferred

About the Role

We are looking for a dynamic and result-orientedRecruiterwith hands-on experience in end-to-end recruitment. The ideal candidate should have prior exposure to hiring for Artificial Intelligence (AI), Machine Learning (ML), Data Engineering, Data Science, Analytics, MLOps, and related technology roles. This position offers an excellent opportunity to work closely with hiring managers and contribute to building high-performing Data & AI teams.

Key Responsibilities

End-to-End Recruitment

• Manage the complete recruitment lifecycle from requisition intake to offer rollout and onboarding.
• Understand hiring requirements and create sourcing strategies aligned with business needs.
• Schedule and coordinate interviews with candidates and hiring teams.
• Ensure a positive candidate experience throughout the hiring process.

Talent Sourcing

• Source candidates through LinkedIn Recruiter, Naukri, Indeed, employee referrals, and social media platforms.
• Build and maintain a strong talent pipeline for AI, Data Engineering, Machine Learning, MLOps, Data Science, and Analytics roles.
• Conduct initial screening calls to assess technical and behavioral fit.

Stakeholder Management

• Partner with hiring managers to understand role requirements and hiring priorities.
• Provide regular updates on candidate pipelines, interview feedback, and recruitment metrics.
• Coordinate with HR and onboarding teams to ensure seamless candidate onboarding.

Recruitment Operations

• Maintain candidate records in the Applicant Tracking System (ATS).
• Ensure compliance with recruitment processes and documentation requirements.
• Prepare recruitment reports, hiring dashboards, and status updates.

Required Skills & Qualifications

• Bachelors degree in human resources, Business Administration, or a related field.
• 2 to 5 years of recruitment experience, preferably in technology hiring.
• Strong understanding of technical recruitment methodologies and sourcing techniques.
• Experience using LinkedIn Recruiter, Naukri, Workday (ATS) or similar ATS platforms.
• Excellent communication, coordination, and stakeholder management skills.
• Ability to work in a fast-paced and target-driven environment.

Preferred Skills

• Exposure to hiring for Python, SQL, Spark, Databricks, Azure, AWS, Snowflake, MLOps, Computer Vision, and Generative AI roles.
• Experience in campus hiring and lateral hiring.

Success Metrics

• Meet hiring turnaround time (TAT) targets.
• Maintain quality candidate pipelines for niche AI and Data Engineering roles.
• Ensure positive candidate and hiring manager satisfaction scores.
• Support achievement of business hiring goals within defined timelines.

What We Offer

• Opportunity to recruit for cutting-edge AI and Data & Analytics projects.
• Exposure to hiring for emerging technologies and niche skill sets.
• Collaborative and high-growth work environment.
• Potential opportunity for contract extension or conversion role based on performance.

Notice Period:

Immediate Joiners or candidates available within 15 days will be preferred!