BPO Sales Team Leader

Springer Capital is a cross-border asset management firm specializing in real estate investment banking between China and the USA. We are offering a remote internship for students or recent graduates interested in UI/UX design, instructional design, and user-centered graphic communication. The internship offers flexible start and end dates. A short design task may be required as part of the selection process.

Responsibilities:

• Assist in designing user-friendly interfaces for presentations, training modules, and digital platforms.
• Create instructional graphics and layouts that enhance learning and user experience.
• Contribute to UI/UX projects by preparing wireframes, prototypes, and design mockups.
• Collaborate with developers and content creators to ensure consistent branding and usability.
• Conduct research on UI/UX best practices and apply findings to improve design solutions.
• Support the design of visual assets for both instructional and marketing purposes.

Please send your resume to talent@springercapital

The Operations Trainee role is an entry level position designed for fresh graduates who want hands-on exposure to real-world business operations. You will closely work with senior operations managers and learn how large, multi-site operations are managed from the head office.

This role offers structured learning, responsibility, and a clear career growth path in operations management.

Reporting Structure

• Reports to: Senior Operations Executive

• Functional Guidance by: Head of Operations

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What You Will Learn & Do

1. Operations Coordination

• Support day-to-day coordination between office and site teams

• Assist in tracking work happening at different client sites

• Learn how operational issues are identified and escalated

2. Reporting & Data Management

• Maintain records such as site reports and attendance data

• Help prepare daily and weekly operations reports

• Learn basic MIS (Management Information System) reporting

3. Audit & Compliance Support

• Assist in collecting documents required for internal audits

• Track compliance checklists and follow-ups

• Learn the importance of documentation and process discipline

4. Communication & Team Support

• Draft emails and internal updates with guidance

• Coordinate with HR and Finance teams for routine data

• Communicate professionally with supervisors and team members

5. Training & Development

• Learn SOPs (Standard Operating Procedures)

• Receive on-the-job training from experienced managers

• Gain real business exposure across multiple sites and clients

Who Can Apply

Education

• Graduate in any discipline

(BBA, BMS, B.Com, BA, B.Sc, or equivalent)

Experience

• Freshers welcome

• Internships or live projects are an added advantage but not mandatory

Job Title: Associate AI/ML Engineer

Location: Gurugram, Haryana

Employment Type: Full-Time

About Aaizel Tech

Aaizel Tech is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We drive innovation by delivering transformative technology solutions across industries. As a growing startup, we are looking for passionate and versatile professionals eager to work on cutting-edge projects in a dynamic environment.

Role Overview

As a Associate AI/ML Engineer at Aaizel Tech, you will lead the design, development, and deployment of advanced Machine Learning models and AI solutions. You will work on projects ranging from predictive analytics and NLP to computer vision and anomaly detection. You will also mentor a team of AI/ML professionals, collaborate with cross-functional teams, and drive innovation by integrating state-of-the-art research with scalable production systems.

Key Responsibilities

1. Model Development & Optimization

Design & Implementation:

• Architect and develop end-to-end ML solutions for applications such as predictive analytics, anomaly detection, computer vision, and NLP.
• Utilize advanced techniques including deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) to address complex challenges.

Optimization:

• Fine-tune model parameters using techniques such as hyperparameter tuning (Grid Search, Bayesian Optimization, Neural Architecture Search).
• Optimize models for both accuracy and inference speed to meet real-time processing requirements.

2. Advanced Data Engineering & Integration

Data Pipeline Development:

• Build robust ETL pipelines using libraries like Pandas, NumPy, and PySpark to process large-scale datasets from satellite imagery, IoT sensors, and real-time streams.
• Integrate data from diverse sources (APIs, databases, big data platforms like Hadoop and Apache Kafka) to support real-time analytics.

Data Quality & Preprocessing:

• Implement data cleansing, feature engineering, and transformation pipelines to ensure high-quality inputs for ML models.

3. Research & Innovation

Algorithm Research:

• Conduct research on state-of-the-art ML techniques including Transfer Learning, Transformer models, and AutoML to enhance model performance.
• Innovate new algorithms for specialized tasks such as geospatial analysis, environmental modeling, or cybersecurity threat detection.

Prototyping & Experimentation:

• Develop proof-of-concept models and prototypes to validate new approaches before production deployment.

4. Deployment, MLOps & Performance Monitoring

Model Deployment:

• Deploy models using containerization (Docker) and orchestration tools (Kubernetes) to ensure scalable and efficient production environments.
• Work with cloud platforms (AWS, Azure, GCP) and model serving solutions (TensorFlow Serving, ONNX, TorchServe) for high-throughput inference.

MLOps & Lifecycle Management:

• Implement CI/CD pipelines for ML models, ensuring seamless updates and versioning.
• Develop monitoring dashboards (using Prometheus, Grafana) to track model performance and trigger retraining based on real-time feedback.

5. Collaboration & Leadership

Cross-Functional Teamwork:

• Collaborate closely with data engineers, software developers, domain experts, and product managers to integrate AI solutions into end-to-end products.

Mentorship & Code Quality:

• Provide technical leadership and mentorship to junior AI/ML engineers, ensuring adherence to coding standards and best practices.
• Participate in code reviews, maintain detailed documentation, and foster a culture of continuous learning.

Recommended Technology Stack

Backend Framework:

• Python (Django/FastAPI): Ideal for API integration, leveraging Python’s rich AI/ML ecosystem.

AI/ML Frameworks:

• PyTorch + Hugging Face Transformers + scikit-learn: For flexibility in research, multilingual NLP tasks, and classical ML pipelines.

Data Engineering:

• Apache Kafka + Apache Spark + Apache NiFi: To handle both real-time data streaming and batch processing.

Database & Storage:

• PostgreSQL with TimescaleDB extension: For structured and time-series data storage.

DevOps & Monitoring:

• Docker, Kubernetes, GitLab CI/CD, Prometheus/Grafana: For containerized deployments, continuous integration, and comprehensive monitoring.

Media Processing:

• OpenCV, FFmpeg, Tesseract OCR, Wav2Vec2: To support image, video, and speech-to-text processing where needed.

Required Skills & Qualifications

Technical Expertise:

• Experience:
• 5+ years in Machine Learning, AI research, or a related field with a proven track record of delivering production-level AI solutions.
• Programming & Frameworks:
• Expertise in Python and hands-on experience with frameworks like PyTorch, TensorFlow, and scikit-learn.
• Experience with Hugging Face Transformers for NLP applications.
• Data Engineering:
• Proficiency in building data pipelines using Pandas, NumPy, PySpark, and integrating data from diverse sources.
• Familiarity with big data platforms and real-time data processing frameworks.
• Model Deployment & MLOps:
• Hands-on experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models.
• Experience with cloud deployment and model serving solutions.
• Research & Innovation:
• Demonstrated ability to apply advanced ML techniques (deep learning, transfer learning, reinforcement learning) to solve real-world problems.
• Testing & Optimization:
• Strong background in model evaluation, hyperparameter tuning, and performance optimization.

Soft Skills:

• Exceptional problem-solving and analytical abilities.
• Strong communication skills, with the ability to present complex technical concepts to diverse stakeholders.
• Leadership and mentoring experience, with a collaborative approach to working in cross-functional teams.
• Ability to thrive in a fast-paced, dynamic environment and drive continuous innovation.

Educational Background:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field from a reputed institution.

What We Offer

• Innovative Projects: Engage in cutting-edge AI/ML projects that influence product strategy and technological innovation.
• Professional Growth: Opportunities for continuous learning, mentorship, and career advancement.
• Collaborative Culture: Work within a diverse team of experts passionate about pushing the boundaries of technology.
• Impactful Work: Play a key role in shaping AI-driven solutions and driving real-world impact.

Designation: TM Sales                                                          

Location:    Tamil Nadu

Qualification: BE/MSC/BSC

Experience: 7 + Years

Key job responsibilities:

1. New Client/Customer acquisition

2. Dealer Appointment

3. Servicing Existing Clients-Monthly Report, Business Review, Attending Service Calls

4. Sales Planning and Billing

5. Presentation to Clients, Training Juniors and Clients

6. Offer preparation.

7. Market Intelligence and Competitor Activity.

8. New Technology presentation to Key Clients.

Skill/Knowledge Required:

Technical skills to handle water treatment chemical applications.

 To achieve sales retail and project business targets of branches

reporting under HO.

 To achieve brand wise, location wise targets.

 To travel / meet Franchisee, Dealers & Sales teams to solve issues

related to sales, services, logistics and collections.

 To train and assess Sales and Service teams.

 To appoint Franchisee, Dealers, Sales and Service teams at locations

 To conduct review meets and present MIR.

 To promote, push, close branches as per performance.

 To design festive schemes, offers and boost sales.

 To solve all kinds of day to day issues affecting business growth.

Required

Qualification

Any Graduate with relevant background

Other Skills  Excellent communication, google spreadsheets, team leader, target

achiever, open to travel.

CTC Range

Age Bracket Above 35

Experience 10-15 Years - MEP

No. of Vacancy 1

Location Bhandup, Mumbai

15 lakhs/annum (incl incentives

This Role is ,perfect for someone looking to further their experience in web application and software development. to help maintain and improve our platform. Proficiency in Backend Development Someone with previous experience in ROR

1.Design and build reusable and efficient ruby code

2. Architect and install new infrastructure

3. Plan and implement new features

4. Integrate data sources and databases into one system

We are looking for a Market Research Intern who will analyze customer preferences and data in order to support the decision making process regarding Product Design, Promotion and Prices.  

Skills Required

• Ability to interpret large amounts of data and to multi-task.
• Strong communication and presentation skills.
• Excellent knowledge of Documentation tools like Miro, Notion and MS Office.
• Search engines, web analytics and business research tools acumen.
• Familiarity with CRM programs.
• Adequate knowledge of data collection methods (polls, focus groups, surveys etc)
• Working knowledge of data warehousing, modeling and mining.
• Strong analytical and critical thinking.

Roles and Responsibilities

• Collecting  and consolidating consumer, competitors and market place data into reports and presentations.
• Conduct surveys to discover prospective customers’ preferences and for better understanding of Business Objectives.
• Find the gap in the market with respect to customers, and give solutions to tap the market,
• Provide competitive analysis on various companies strategies and market share.
• Prepare technical reports by collecting, analyzing and summarizing information.
• Remain fully informed on market trends.

Spacenos is the fastest-growing start-up which is innovating in the finance, edtech and marketing domain since 2015 and won multiple awards and recognitions from more than 40+ MNCs and Fortune 500 companies. Our Clients are based out of the U.S.A and Australia. We are funded & Supported by Government of Karnataka, Angel Investors and International Grants.

1. Apply for your CV and past work to be reviewed.
2. Receive a telephonic interview or assessment upon filling the final step form.

3. Receive offer letter if selected.

Our hiring process takes less than 24 hours from the time you receive the Final Step form.

Validity: Up to Dec 2023

• 5+ years of experience in software development.
• At least 2 years of relevant work experience on large scale Data applications
• Good attitude, strong problem-solving abilities, analytical skills, ability to take ownership as appropriate
• Should be able to do coding, debugging, performance tuning, and deploying the apps to Prod.
• Should have good working experience Hadoop ecosystem (HDFS, Hive, Yarn, File formats like Avro/Parquet)
• Kafka
• J2EE Frameworks (Spring/Hibernate/REST)
• Spark Streaming or any other streaming technology.
• Java programming language is mandatory.
• Good to have experience with Java
• Ability to work on the sprint stories to completion along with Unit test case coverage.
• Experience working in Agile Methodology
• Excellent communication and coordination skills
• Knowledgeable (and preferred hands-on) - UNIX environments, different continuous integration tools.
• Must be able to integrate quickly into the team and work independently towards team goals

• Take the complete responsibility of the sprint stories’ execution
• Be accountable for the delivery of the tasks in the defined timelines with good quality
• Follow the processes for project execution and delivery.
• Follow agile methodology
• Work with the team lead closely and contribute to the smooth delivery of the project.
• Understand/define the architecture and discuss the pros-cons of the same with the team
• Involve in the brainstorming sessions and suggest improvements in the architecture/design.
• Work with other team leads to get the architecture/design reviewed.
• Work with the clients and counterparts (in US) of the project.
• Keep all the stakeholders updated about the project/task status/risks/issues if there are any.