Management Trainee

Job Title : AI/ML Engineer (Python)

Location : Gurgaon

Experience : 5+ Years and 10+ Years

Role Overview :

We are seeking highly skilled AI/ML Engineers with expertise in Python to join our team in Gurgaon. The ideal candidates will have 5+ Years or 10+ Years of experience in building and deploying AI/ML models, developing scalable solutions, and contributing to cutting-edge machine learning projects.

Key Responsibilities :

• Design, develop, and deploy robust AI/ML models and algorithms to solve real-world problems.
• Collaborate with cross-functional teams to integrate machine learning solutions into production environments.
• Implement data preprocessing, feature engineering, and model optimization techniques.
• Work with large datasets to derive insights and develop predictive models.
• Write clean, efficient, and well-documented Python code.
• Evaluate model performance and fine-tune algorithms for better accuracy and efficiency.
• Research and implement new machine learning methods and technologies.
• Develop and maintain automated pipelines for training, testing, and deploying models.
• Mentor junior engineers (for 10+ Years of experience candidates).

Key Requirements :

Educational Qualification : Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Experience :

• For 5+ Years : Proven expertise in AI/ML development with hands-on project experience.
• For 10+ Years : Advanced expertise in AI/ML with a track record of leading complex projects and mentoring teams.

Technical Skills :

• Strong programming skills in Python.
• Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Proficiency in data processing tools such as Pandas and NumPy.
• Experience with cloud platforms (AWS, Azure, or GCP) for deploying models.
• Knowledge of NLP, computer vision, or deep learning techniques is a plus.
• Familiarity with big data tools (e.g., Spark, Hadoop) is advantageous.

Soft Skills :

• Strong analytical and problem-solving abilities.
• Excellent communication and team collaboration skills.
• Ability to adapt to a fast-paced and dynamic environment.

Preferred Qualifications :

• Hands-on experience with MLOps tools and workflows.
• Familiarity with version control systems like Git.
• Exposure to end-to-end product lifecycle from ideation to deployment.

Benefits :

• Competitive salary and performance-based incentives.
• Opportunity to work on cutting-edge AI/ML projects.
• Collaborative and innovative work environment.
• Continuous learning and upskilling opportunities.

Notice Period - 0-15 days Max

Apply only who are currently in Karnataka

F2F interview

Interview - 4 rounds

Job Title: AI Specialist

Company Overview: We are the Technology Center of Excellence for Long Arc Capital

which provides growth capital to businesses with a sustainable competitive advantage and 

a strong management team with whom we can partner to build a category leader. We focus 

on North American and European companies where technology is transforming traditional 

business models in the Financial Services, Business Services, Technology, Media and 

Telecommunications sectors.

As part of our mission to leverage AI for business innovation, we are establishing AI COE to 

develop Generative AI (GenAI) and Agentic AI solutions that enhance decision-making, 

automation, and user experiences.

Job Overview: We are seeking dynamic and talented individuals to join our AI COE. This 

team will focus on developing advanced AI models, integrating them into our cloud-based 

platform, and delivering impactful solutions that drive efficiency, innovation, and customer 

value.

Key Responsibilities:

• As a Full Stack AI Engineer, research, design, and develop AI solutions for text, 

image, audio, and video generation

• Build and deploy Agentic AI systems for autonomous decision-making across 

business outcomes and enhancing associate productivity. 

• Work with domain experts to design and fine-tune AI solutions tailored to portfoliospecific challenges.

• Partner with data engineers across portfolio companies to –

o Preprocess large datasets and ensure high-quality input for training AI 

models.

o Develop scalable and efficient AI pipelines using frameworks like 

TensorFlow, PyTorch, and Hugging Face.

• Implement MLOps best practices for AI model deployment, versioning, and 

monitoring using tools like MLflow and Kubernetes.

• Ensure AI solutions adhere to ethical standards, comply with regulations (e.g., 

GDPR, CCPA), and mitigate biases.

• Design intuitive and user-friendly interfaces for AI-driven applications, collaborating 

with UX designers and frontend developers.

Internal Use Only

• Stay up to date with the latest AI research and tools and evaluate their applicability 

to our business needs.

Key Qualifications:

Technical Expertise:

• Proficiency in full stack application development (specifically using Angular, React).

• Expertise in backend technologies (Django, Flask) and cloud platforms (AWS 

SageMaker/Azure AI Studio).

• Proficiency in deep learning frameworks (TensorFlow, PyTorch, JAX).

• Proficiency with Large Language Models (LLMs) and generative AI tools (e.g., OpenAI 

APIs, LangChain, Stable Diffusion).

• Solid understanding of data engineering workflows, including ETL processes and 

distributed computing tools (Apache Spark, Kafka).

• Experience with data pipelines, big data processing, and database management 

(SQL, NoSQL).

• Knowledge of containerization (Docker) and orchestration (Kubernetes) for scalable 

AI deployment.

• Familiarity with CI/CD pipelines and automation tools (Terraform, Jenkins).

• Good understanding of AI ethics, bias mitigation, and compliance standards.

• Excellent problem-solving abilities and innovative thinking.

• Strong collaboration and communication skills, with the ability to work in crossfunctional teams.

• Proven ability to work in a fast-paced and dynamic environment.

Preferred Qualifications:

• Advanced studies in Artificial Intelligence, or a related field.

• Experience with reinforcement learning, multi-agent systems, or autonomous 

decision-making

We are building VALLI AI SecurePay, an AI-powered fintech and cybersecurity platform focused on fraud detection and transaction risk scoring.

We are looking for an AI / Machine Learning Engineer with strong AWS experience to design, develop, and deploy ML models in a cloud-native environment.

Responsibilities:

- Build ML models for fraud detection and anomaly detection

- Work with transactional and behavioral data

- Deploy models on AWS (S3, SageMaker, EC2/Lambda)

- Build data pipelines and inference workflows

- Integrate ML models with backend APIs

Requirements:

- Strong Python and Machine Learning experience

- Hands-on AWS experience

- Experience deploying ML models in production

- Ability to work independently in a remote setup

Job Type: Contract / Freelance  

Duration: 3–6 months (extendable)  

Location: Remote (India)

Job Title: Personal Assistant to CXO

We are seeking a highly organized, proactive, and detail-oriented Personal Assistant to support our CXO in day-to-day operations. The ideal candidate will manage schedules, communications, and follow-ups efficiently, ensuring seamless coordination across internal teams and external stakeholders. This role demands professionalism, discretion, and the ability to thrive in a fast-paced environment while managing multiple priorities.

Key Responsibilities

• Manage the CXO’s calendar, appointments, meetings, travel arrangements, and daily schedule with efficiency and accuracy.
• Track, document, and follow up on tasks assigned to the CXO to ensure timely execution and closure.
• Prepare meeting agendas, record detailed minutes, and coordinate action items with relevant internal teams.
• Draft, proofread, and organize professional communications, including emails, presentations, and reports.
• Act as a liaison between the CXO and internal departments as well as external stakeholders.
• Maintain confidentiality of sensitive information and ensure systematic documentation and record-keeping.
• Anticipate the CXO’s requirements, provide timely reminders, and prepare necessary materials in advance of meetings.

Requirements

• Bachelor’s degree in Business Administration, Management, or a related field.
• Minimum of 1 year of experience as a Personal Assistant or Executive Assistant, preferably in healthcare, technology, or start-up environments.
• Strong organizational, communication, and multitasking skills.
• High level of professionalism, discretion, and a proactive problem-solving mindset.
• Ability to adapt quickly to changing priorities in a dynamic, fast-paced work environment.

Benefits

• Flexible work schedule
• Health insurance
• Leave encashment
• Provident Fund (PF)

About Us

Aavyan Consulting is a growth-focused advisory firm that works closely with early to mid-stage startups to help them scale across people, capital, and strategy. We’re now looking for a passionate and proactive individual to help us lead investor relations and fundraising execution.

Role Overview

We’re hiring a Fundraising & Investor Relations Associate who will be responsible for independently managing and executing 3-4 fundraising processes end-to-end. The ideal candidate will already have a strong network of VCs and angel investors and be able to open relevant doors for our founder and client startups.

Key Responsibilities

• Build and manage a pipeline of VC and angel investors relevant to our portfolio and internal needs
• Set up and coordinate investor meetings for the founder and client leadership
• Craft compelling investor collateral – decks, teasers, financial snapshots, etc.
• Lead and execute 3-4 end-to-end fundraising processes (from prospecting to closure)
• Maintain and update investor CRM and ensure timely follow-ups
• Support due diligence coordination and data room management
• Stay updated with current funding trends and active investors in the Indian and global ecosystem

Requirements

• 3–4 years of relevant experience in startup fundraising, investment banking, or venture advisory
• Proven track record of successful fundraise closures (at least 3-4 deals)
• Strong network of active angels, micro-VCs, and institutional funds
• Excellent written and verbal communication skills
• Highly organized, self-driven, and able to work with minimal supervision
• Prior experience in a consulting firm/startup ecosystem is a plus

Why Join Us?

• High ownership role with exposure to founders, VCs, and high-growth startups
• Remote flexibility and fast-paced learning environment
• Opportunity to directly contribute to scaling impact-driven startups
• Work closely with the founder on strategic growth initiatives

• Write clean, scalable code using .NET programming languages.
• Developing the web based software using computer programming languages such as Asp.net, Sql Server, MVC, C# & Entity framework.
• Revise, update, re-factor and debug code.
• Participate as a team member in all phases of S/W lifecycle, including the analysis and design of S/W systems.
• Participate in integrated testing of product/ package.
• Deploying applications on client server.
• Making changes to existing web applications according to the feedback received from the end users or clients.
• Design and develop REST API’s using ASP.NET/C#.

Job Title: Admission Counsellor

Location: HSR Layout, Bangalore

Company: CollegeX

About CollegeX: CollegeX is a leading education consultancy dedicated to driving admissions for our partner universities. We help students find the right programs and institutions to achieve their academic and career goals. Job Role: As an Admission Counsellor, you will be responsible for guiding prospective students through the admissions process, helping them select the right universities and programs, and ensuring a smooth application experience. Key Responsibilities: Counsel students and parents about various universities, courses, admission requirements, and career prospects. Handle inbound and outbound calls, emails, and WhatsApp inquiries from prospective students. Follow up with leads to ensure a high conversion rate. Assist students with application procedures, visa processes, and documentation. Collaborate with partner universities to stay updated on admission criteria, deadlines, and scholarships. Maintain and update the student database and generate reports on admissions progress. Participate in education fairs, webinars, and marketing campaigns to generate leads.

Required Skills & Qualifications: Bachelor's degree in any discipline. 1-3 years of experience in student counselling, admissions, or education consulting. Strong communication and interpersonal skills. Ability to work in a target-driven environment. Proficiency in MS Office and CRM tools is a plus.

Why Join Us? Competitive salary and performance-based incentives. Opportunity to work with top universities. A dynamic and growth-oriented work environment. If you're passionate about helping students achieve their academic dreams, apply now!

About Tech4Biz Solutions

Tech4Biz Solutions is a technology solutions provider that specializes in cloud computing, AI-driven applications, cybersecurity, and IT services. The company focuses on delivering cost-effective, scalable, and high-performance solutions tailored to business needs.

Key Offerings:

• Cloud Solutions – Custom cloud hosting, RDS (Relational Database Service), and infrastructure solutions.
• AI & Automation – AI-powered lead generation, web crawling, and AI-driven recommendations.
• RegTech & Compliance – Streamlining regulatory compliance with tech-driven solutions.
• Enterprise Software Development – End-to-end IT solutions using modern tech stacks like React.js, Node.js, MongoDB, and AWS.

As we expand, we are looking for a dynamic IT Recruiter & HR Manager to drive our talent acquisition and HR operations.

Key Responsibilities:

IT Recruitment-

• End-to-End IT Hiring – Source, screen, and hire top tech talent (Developers, DevOps, AI/ML Engineers, Cloud Architects).
• Talent Sourcing – Use platforms like LinkedIn, Naukri, CutShort, Instahyre, and GitHub to find and engage candidates.
• Technical Screening – Collaborate with hiring managers to assess technical skills.
• Offer Negotiation & Onboarding – Close candidates efficiently and ensure a smooth onboarding process.
• Pipeline Building – Maintain a strong talent pool for niche and future hiring needs.

HR Operations & Employee Management-

• Attendance & Leave Management – Maintain employee attendance records and leave tracking.
• Payroll Processing – Ensure timely payroll execution and compliance with tax & labor laws.
• HR Policies & Compliance – Implement and update HR policies in line with industry standards.
• Employee Engagement – Organize training sessions, feedback mechanisms, and engagement activities.
• Performance Management – Assist in performance reviews, PIP plans, and salary appraisals.
• Grievance Handling & Conflict Resolution – Maintain a positive work environment and address employee concerns.

Must-Have Skills:

✔ 3+ years of experience in IT recruitment & HR operations

✔ Strong understanding of tech stacks, programming languages, and IT job roles

✔ Hands-on experience with ATS (Applicant Tracking Systems) & HRMS software

✔ Knowledge of Indian labor laws, payroll, and compliance

✔ Excellent communication, negotiation, and people management skills

Good to Have:

➕ Experience hiring for Cloud, AI, Data Science, or DevOps roles

➕ Familiarity with technical screening tools like HackerRank or Codility

➕ Experience with Zoho HRMS, Darwinbox, or similar HR tools

• 3+ years of experience in the Development in JAVA technology.
• AWS or cloud Experience
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem-solving

Good to Have Skills:

• 3+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.