Assistant professor CSE / AI&DS / CYBER SECURITY

Strong early-career iOS Developer Profile with hands-on Swift and UIKit experience

Mandatory (Experience 1) – Must have 0–2 years of experience building iOS apps, with at least 6 months of hands-on experience (internship experience counts for freshers).

Mandatory (Experience 2) – Must have built two or more apps; anything live on the App Store is a strong plus.

Mandatory (skill 1) – Must have a solid grip on Swift and UIKit.

Mandatory (skill 2) – Must be familiar with iOS fundamentals — Core Data, URLSession / networking, JSON parsing, multithreading (GCD), and Auto Layout.

Mandatory (skill 3) – Must be comfortable with an app architecture pattern (MVC / MVVM) and Git.

Mandatory (Company Background) – Must come from a strong B2C product company.

Mandatory (Education) – Must have a B.Tech from a Tier-1 college — IITs, NITs, BITS Pilani, IIITs, or equivalent premier institutes.

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

Job Summary

The BPO & Voice Recruiter is responsible for sourcing, screening, and hiring candidates for voice-based customer service, technical support, and other BPO roles. This position ensures a smooth end-to-end recruitment process and works closely with operations and HR to meet staffing targets within defined timelines.

Sourcing resume or candidates in a creative ways

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Key Responsibilities

1. Talent Sourcing

Source candidates through job portals, social media, employee referrals, walk-ins, and recruitment drives.

Build and maintain an active talent pipeline for voice and customer support roles.

Develop creative sourcing techniques to attract high-quality candidates.

2. Screening & Assessment

Conduct initial screening calls to evaluate communication skills, voice clarity, customer-handling ability, and job fit.

Schedule and coordinate interviews with hiring managers and operations teams.

Administer communication assessments, voice tests, and language proficiency evaluations.

3. Recruitment Coordination

Manage end-to-end recruitment cycle from sourcing to onboarding.

Maintain candidate data and update recruitment trackers.

Communicate hiring status and feedback to candidates promptly.

4. Stakeholder Management

Collaborate with operations, training, and HR teams to understand manpower requirements.

Provide regular updates on hiring progress, challenges, and recommendations.

Participate in weekly recruitment meetings and calibration sessions.

5. Compliance & Documentation

Ensure adherence to hiring policies, organizational standards, and compliance guidelines.

Collect, verify, and main

tain required documents for selected candidates.

Job Title: Lead US IT Recruiter

Location: Trichy, Tamil Nadu (Onsite)

Company: VDart Inc.

Experience: 5 – 8 Years

Employment Type: Full-Time

About VDart Inc.

VDart Inc. is a global IT staffing and solutions company serving Fortune 500 clients across North America and India. With a strong track record in delivering high-quality tech talent across domains, we’re expanding our India team and are seeking a strategic, result-oriented Lead US IT Recruiter to join our Trichy office.

Key Responsibilities

·      Lead and manage the full recruitment cycle for contract, contract-to-hire, and full-time roles in the US market.

·      Drive sourcing strategies using Dice, Monster, CareerBuilder, LinkedIn, and internal ATS.

·      Manage a team of junior recruiters, provide mentoring, performance feedback, and support.

·      Handle client communications and delivery for key VMS/MSP and direct clients.

·      Negotiate rates, close candidates, and manage onboarding in coordination with internal stakeholders.

·      Maintain and track recruiting metrics (submittals, interviews, closures) and deliver on SLAs.

·      Stay current on industry trends, hiring patterns, and talent market intelligence.

Required Skills & Experience

·      5 to 8 years of hands-on experience in US IT Recruitment across various domains.

·      Deep knowledge of W2, C2C, and 1099 hiring models.

·      Proven experience with VMS portals like Fieldglass, Beeline, IQNavigator, etc.

·      Hands-on expertise in sourcing through Dice, Monster, CareerBuilder, and LinkedIn Recruiter.

·      Strong interpersonal and negotiation skills with experience in client interaction.

·      Previous experience mentoring or leading a team is highly preferred.

·      Willingness to work onsite from our Trichy office.

Role Description

This is a full-time on-site role for a SAP Advanced Business Application Programming (ABAP) Consultant. The ABAP Consultant will be responsible for day-to-day tasks related to SAP implementation, support, and enhancement. The role will involve working with ALV Reports, User Exits, BAPI, IDoc, and Object-Oriented Programming (OOP). The ABAP Consultant will collaborate with a team of experienced professionals to provide the best solutions for clients' business needs.

Experience:

Relevant Experience of 5 - 8 years in SAP ABAP is required.

Qualifications

• Hands-on experience with ALV Reports, User Exits, BAPI, IDoc, and Object-Oriented Programming (OOP)
• Strong understanding of SAP implementation, support, and enhancement processes
• Ability to analyze complex business requirements and translate them into technical solutions
• Excellent problem-solving and debugging skills
• Good communication and interpersonal skills
• Relevant SAP certifications and additional technical skills (e.g., SAP Fiori development, SAP HANA)
• Bachelor's degree in Computer Science, Information Technology, or related field
• Prior experience in IT service industry or SAP consulting is a plus

Role: Relationship Manager

Location: Mumbai (Andheri; Vashi)

Experience: 1-4 Years

Qualification: Any graduate
Salary offered: Fixed salary + Travel reimbursement + gratuity + telephone reimbursement + Performance Linked Incentives

Key Responsibilities:

• Contacting and following up with new prospective Clients and setting up new business opportunities.
• Convert prospects into customers by showcasing appropriate residential properties to the prospects matching the investment/ residential needs of the prospects.
• Plan approaches and pitches
• Build relationships with new clients.
• In some cases, Cold calling for sales of Primary properties.
• Achieving written down sales targets by the organisation.
• Attending Developer meetings & Channel partner orientations as and when required.
• Participate in the negotiation meeting with buyer & Seller.

Skills Required:

• Excellent communication and negotiation skills
• Persuasive with Marketing and Sales skills
• Customer Service orientation
• High levels of Passion and Ownership
• Result-driven individual

Qualifications & Experience:

1. Graduate & above
2. Must have two wheeler with a valid Driving license. Should believe in riding with safety (Helmet, Law-abiding, etc.).
3. 1 to 4 years of Sales Experience in Any Sector
4. Must be willing to travel within the city