Social Media Optimization

🔍 Job Summary:

We are looking for a motivated and empathetic Academic Counsellor to guide students in selecting the right educational path based on their interests, abilities, and career aspirations. You will be the bridge between the institution and students, helping them make informed decisions and ensuring a smooth academic journey.

🎯 Key Responsibilities:

• Understand students’ academic background, goals, and challenges through counseling sessions (in-person, phone, or online).
• Guide students on courses, career paths, and academic planning based on their interests and aptitude.
• Assist in the admission and enrollment process, including explaining course details, fee structure, and eligibility.
• Follow up with leads and maintain records of inquiries and student data using CRM tools.
• Address concerns of students and parents with patience, professionalism, and care.
• Collaborate with faculty and support teams to monitor student progress and retention.
• Achieve monthly conversion/enrollment targets as assigned.

🧠 Requirements:

• Bachelor’s degree (education, psychology, or counseling preferred).
• Proven experience in academic or career counseling, preferably in the education industry.
• Strong communication and interpersonal skills.
• Empathy, patience, and a genuine interest in helping students.
• Familiarity with CRM software and MS Office.
• Ability to work under pressure and meet targets.

Job Title: Junior Accountant - US Accounting

Job Summary:

As a Foreign Accountant, you will assist in managing financial records for international operations, process multi-currency transactions, and support tax compliance efforts under supervision.

Key Responsibilities:

• Assist in preparing financial statements for international operations.
• Support with multi-currency transactions and ensure accurate exchange rate calculations.
• Help maintain financial records and reconcile accounts for foreign branches.
• Aid in preparing tax filings and ensuring compliance with local regulations.
• Assist with month-end and year-end closing processes

Qualifications:

• Bachelor’s degree in Accounting, Finance, or related field.
• Basic knowledge of international accounting principles and taxation.
• Strong attention to detail and willingness to learn.
• Proficiency in Microsoft Excel and accounting software.
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As a fresher, this is your chance to make your mark in the world of finance. We offer the ideal environment for you to grow and develop in the field of international accounting. If you're ready to take on new challenges and learn from the best, we encourage you to apply and begin your career with us!

We’re looking for an experienced AI Developer to join our team and drive the design, development, and deployment of advanced computer-vision and LLM-based solutions. You’ll build real-time object detection & tracking pipelines (LLM, YOLOv8/11), develop face-recognition models on video feeds with LLM support, and manage GPU-powered server infrastructure end-to-end.

Key Responsibilities

• Model Development & Optimization
• Design, train, and fine-tune LLMs, YOLOv8/11 models for multi-class object detection.
• Implement face-recognition pipelines leveraging state-of-the-art LLMs and embedding techniques.
• Optimize inference speed and accuracy for real-time video processing on GPUs.
• Video Analytics & Tracking
• Develop multi-camera object-tracking algorithms across disparate video sources.
• Integrate OpenCV, DeepSORT (or similar), and custom tracking logic for robust performance.
• Infrastructure & Deployment
• Provision and maintain Linux servers with SSH, Docker, and GPU drivers (NVIDIA CUDA/cuDNN).
• Automate CI/CD pipelines for model training, evaluation, and deployment.
• Monitor GPU utilization, troubleshoot performance bottlenecks, and ensure high availability.
• Collaboration & Documentation
• Work closely with product managers, data engineers, and front-end teams to integrate AI services via REST/gRPC APIs.
• Write clear technical documentation, API specs, and best-practice guides.

Required Qualifications

• Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field.
• 2-3+ years hands-on experience with:
• YOLOv8 or YOLOv11 (training, inference, transfer learning)
• Face recognition frameworks (InsightFace, FaceNet, ArcFace) and LLM embeddings (e.g., Hugging Face Transformers)
• Python ecosystem: PyTorch/TensorFlow, OpenCV, NumPy, scikit-learn
• Strong Linux skills: server provisioning, SSH, shell scripting.
• Proficiency in managing GPU servers (NVIDIA CUDA, Docker GPU containers)
• Experience deploying models in production (AWS/GCP/Azure or on-prem clusters).

Preferred Qualifications

• Familiarity with video-streaming protocols (RTSP/WebRTC).
• Knowledge of microservices architecture and API gateways.
• Exposure to MLOps platforms (MLflow, Kubeflow).
• Strong debugging, profiling, and performance-tuning abilities.

Role – Sales Manager - Digital Ad Sales

Location - Mumbai and Bengaluru

Qualification - Graduation

CTC- Up to 16 LPA

Experience - 4-8 years

Roles & responsibilities:

- Revenue generation, forecasting accuracy, customer satisfaction, reach & exceeding sales goals & yield targets.

- Develop the vision & manage the sales/ account strategies to unlock the potential in market.

- Continue to develop a thorough understanding of assigned market and competitor knowledge to benefit your client.

- Work towards meeting monthly, quarterly and annual revenue goals.

- Drive customer engagement with pro- active content, campaign led conversations evaluate account performance, identify opportunities & follow up/through on requests.

- Ensure the account team is continually putting the customer first and providing world class service.

Key requirements :

• Excellent research, analytical, presentation and communication (written and verbal) skills and the ability to create compelling, persuasive presentations for clients.

• 4-8 years of experience in domestic sales. (Digital media advertising sales experience is a must)

• Education: BSc/ BA/ BTech / BCom/ BBM required• Excellent research, analytical, presentation and communication (written and verbal) skills and the ability to create compelling, persuasive presentations for clients.

• Minimum 1-year experience in online media; direct sales and/or business development experience including working with digital media (selling in six and seven-figure media deals) required.

• Basic Knowledge of Internet advertising: CPA, CPM, CPV, lead generation, etc. is required.

Job Title: Data Engineer

Job Summary: As a Data Engineer, you will be responsible for designing, building, and maintaining the infrastructure and tools necessary for data collection, storage, processing, and analysis. You will work closely with data scientists and analysts to ensure that data is available, accessible, and in a format that can be easily consumed for business insights.

Responsibilities:

• Design, build, and maintain data pipelines to collect, store, and process data from various sources.
• Create and manage data warehousing and data lake solutions.
• Develop and maintain data processing and data integration tools.
• Collaborate with data scientists and analysts to design and implement data models and algorithms for data analysis.
• Optimize and scale existing data infrastructure to ensure it meets the needs of the business.
• Ensure data quality and integrity across all data sources.
• Develop and implement best practices for data governance, security, and privacy.
• Monitor data pipeline performance / Errors and troubleshoot issues as needed.
• Stay up-to-date with emerging data technologies and best practices.

Requirements:

Bachelor's degree in Computer Science, Information Systems, or a related field.

Experience with ETL tools like Matillion,SSIS,Informatica

Experience with SQL and relational databases such as SQL server, MySQL, PostgreSQL, or Oracle.

Experience in writing complex SQL queries

Strong programming skills in languages such as Python, Java, or Scala.

Experience with data modeling, data warehousing, and data integration.

Strong problem-solving skills and ability to work independently.

Excellent communication and collaboration skills.

Familiarity with big data technologies such as Hadoop, Spark, or Kafka.

Familiarity with data warehouse/Data lake technologies like Snowflake or Databricks

Familiarity with cloud computing platforms such as AWS, Azure, or GCP.

Familiarity with Reporting tools

Teamwork/ growth contribution

• Helping the team in taking the Interviews and identifying right candidates
• Adhering to timelines
• Intime status communication and upfront communication of any risks
• Tech, train, share knowledge with peers.
• Good Communication skills
• Proven abilities to take initiative and be innovative
• Analytical mind with a problem-solving aptitude

Good to have :

Master's degree in Computer Science, Information Systems, or a related field.

Experience with NoSQL databases such as MongoDB or Cassandra.

Familiarity with data visualization and business intelligence tools such as Tableau or Power BI.

Knowledge of machine learning and statistical modeling techniques.

If you are passionate about data and want to work with a dynamic team of data scientists and analysts, we encourage you to apply for this position.