Advisor

About the Role

We are seeking a detail-oriented and analytical Sales Operations Intern (BDR Support) to assist with CRM management, data quality initiatives, company research, and sales database maintenance. This role is ideal for students or recent graduates interested in sales operations, business development, CRM systems, data management, and revenue operations. 

The intern will work closely with the Business Development, CRM, and Business Operations teams to ensure accurate, organized, and high-quality sales data that supports prospecting and business growth efforts. 

Key Responsibilities 

CRM Management & Data Maintenance 

• Create, update, and maintain contact and company records within the CRM.  
• Ensure records contain all required fields and comply with CRM data standards.  
• Add notes, activities, ownership information, tags, and other relevant details accurately.  
• Monitor CRM data quality and maintain database hygiene.  

Company Research 

• Research prospective companies and collect relevant information, including:  
• Company website  
• Location  
• Industry  
• Assets Under Management (AUM), where applicable  
• Company size and key business information  
• Verify information from reliable sources before entering it into the CRM.  

Contact Research 

• Identify and verify decision-makers and relevant stakeholders.  
• Research contact names, job titles, email addresses, and professional profiles.  
• Locate and validate LinkedIn profiles and other publicly available information.  

Data Quality & Validation 

• Review CRM records for completeness, accuracy, and consistency.  
• Perform quality checks on data collected through research or AI-assisted processes.  
• Ensure data entered meets established validation and formatting standards.  

Duplicate Management 

• Identify duplicate company and contact records.  
• Merge and clean duplicate records following established CRM procedures.  
• Maintain a clean and organized database.  

CRM Operations Support 

• Assist with:  
• Data imports and exports  
• CRM filtering and segmentation  
• Mass updates and bulk record management  
• Reporting and data organization projects  
• Support CRM optimization initiatives as assigned.  

Sales Intelligence & ICP Research 

• Learn and understand the organization's Ideal Customer Profiles (ICPs).  
• Evaluate whether companies and contacts align with target customer criteria.  
• Support lead qualification and database enrichment activities.  

Documentation & Process Compliance 

• Follow documented CRM and sales operations procedures.  
• Escalate issues or uncertainties to appropriate stakeholders (CRM Team, Business Operations, Managers).  
• Maintain confidentiality and data security standards.  

Key Skills 

• CRM Management  
• Data Entry & Validation  
• Lead Research  
• Company Research  
• Contact Research  
• Data Quality Control  
• Problem Solving  
• Attention to Detail  
• Business Research  
• Sales Operations Support  
• Time Management  

 Required Qualifications 

• Currently pursuing or recently completed a degree in Business, Marketing, Sales, Information Systems, Data Analytics, or a related field.  
• Strong attention to detail and organizational skills.  
• Excellent internet research and analytical abilities.  
• Strong written communication skills.  
• Comfortable working with spreadsheets and data.  
• Ability to follow processes and maintain data accuracy.  
• Proficiency in Microsoft Excel or Google Sheets.   

Preferred Qualifications 

• Familiarity with CRM platforms such as Salesforce, HubSpot, or Zoho CRM.  
• Understanding of B2B sales, lead generation, or business development processes.  
• Experience with LinkedIn research and professional networking platforms.  
• Knowledge of data validation and quality assurance practices.  

Hi,

Greetings from Ampera!

we are looking for a Data Scientist with strong Python & Forecasting experience.

Title                               : Data Scientist – Python & Forecasting

Experience                   : 4 to 7 Yrs

Location                       : Chennai/Bengaluru

Type of hire                  : PWD and Non PWD

Employment Type     : Full Time

Notice Period             : Immediate Joiner

Working hours           : 09:00 a.m. to 06:00 p.m.

Workdays                   : Mon - Fri

Job Description:

We are looking for an experienced Data Scientist with strong expertise in Python programming and forecasting techniques. The ideal candidate should have hands-on experience building predictive and time-series forecasting models, working with large datasets, and deploying scalable solutions in production environments.

Key Responsibilities

• Develop and implement forecasting models (time-series and machine learning based).
• Perform exploratory data analysis (EDA), feature engineering, and model validation.
• Build, test, and optimize predictive models for business use cases such as demand forecasting, revenue prediction, trend analysis, etc.
• Design, train, validate, and optimize machine learning models for real-world business use cases.
• Apply appropriate ML algorithms based on business problems and data characteristics
• Write clean, modular, and production-ready Python code.
• Work extensively with Python Packages & libraries for data processing and modelling.
• Collaborate with Data Engineers and stakeholders to deploy models into production.
• Monitor model performance and improve accuracy through continuous tuning.
• Document methodologies, assumptions, and results clearly for business teams.

Technical Skills Required:

Programming

• Strong proficiency in Python
• Experience with Pandas, NumPy, Scikit-learn

Forecasting & Modelling

• Hands-on experience in Time Series Forecasting (ARIMA, SARIMA, Prophet, etc.)
• Experience with ML-based forecasting models (XGBoost, LightGBM, Random Forest, etc.)
• Understanding of seasonality, trend decomposition, and statistical modeling

Data & Deployment

• Experience handling structured and large datasets
• SQL proficiency
• Exposure to model deployment (API-based deployment preferred)
• Knowledge of MLOps concepts is an added advantage

Tools (Preferred)

• TensorFlow / PyTorch (optional)
• Airflow / MLflow
• Cloud platforms (AWS / Azure / GCP)

Educational Qualification

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.

Key Competencies

• Strong analytical and problem-solving skills
• Ability to communicate insights to technical and non-technical stakeholders
• Experience working in agile or fast-paced environments

Accessibility & Inclusion Statement

We are committed to creating an inclusive environment for all employees, including persons with disabilities. Reasonable accommodations will be provided upon request.

Equal Opportunity Employer (EOE) Statement

Ampera Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Who Are We

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

WHY US

• Join top AI company
• Grow with your best companions
• Continuous pursuit of excellence, equality, respect
• Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

To learn more about how we work, please check out

https://www.orbo.ai/">https://www.orbo.ai/.

We at Orbo are looking for developers who have passion for technology, ability to deploy new and novel technologies in environments that are often low on humans as well as capital. From solving complex algorithm problems, software development engineers also develop complex algorithms to solve real-life crises and are involved in the system design of several applications and thus contributing to their technical architecture. 

• To determine the scope of software development projects.
• Collaborating with the software development team on application design and development.
• Developing software and overseeing the deployment of applications across platforms.
• Performing diagnostic tests and debugging procedures.
• Creating end-user application feedback channels.
• Optimizing software by performing maintenance, updates, and upgrades.
• Documenting processes and maintaining software development records.
• Keeping up to date with C++ standards and advancements in application development.

• Bachelor's degree in computer science, information systems, or similar.
• Strong understanding of OOPs, SDL.

• Problem solving with data structure and algorithms.
• Build tools(make/Cmake/Ninja/Bazel)
• Experience with OS & hardware specific development (SIMD, AVX, AVX2)
• Having knowledge of 3rd Party library integration (OpenCV, Tensorflow, NCNN, TNN, liptorch, Openvino, ONNX runtime)
• Worked with Modern C++ 
• Worked with Linux & Windows
• Experience with multi threading and multi processing 
• Superb analytical and problem-solving skills.
• Excellent collaboration and communication skills.
• Great organizational and time management skills.

Position: Manager/Head- Data Scientist/Machine Learning Engineer

• Algorithm Development: Develop cutting-edge algorithms and predictive models to enhance customer experience, optimize inventory management, and drive sales growth
• AI/ML Model Building: Utilize expertise in data science and machine learning to create scalable AI models specifically tailored for both online platforms and brick-and-mortar stores, aiming to improve operational efficiency and customer engagement.
• Ecommerce Optimization: Collaborate with cross-functional teams to implement data-driven solutions for personalized recommendations, demand forecasting, and dynamic pricing strategies to drive online sales and enhance customer satisfaction.
• Deep Learning & Image Recognition: Leverage advanced techniques in deep learning and image recognition to develop innovative solutions for product categorization, visual search, and inventory tracking, optimizing product discovery and inventory management.
• Python Development: Proficiency in Python programming is essential for designing, implementing, and maintaining robust and scalable machine learning pipelines and models, ensuring efficient deployment and integration into existing systems.

Qualifications and Experience:

• Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related fields.
• 3 to 4 years of hands-on experience in data science, machine learning, and deep learning, preferably within the ecommerce or retail sector.
• Proven track record of successful implementation of AI/ML models with tangible business impact.
• Strong proficiency in Python, along with familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience working with image data, including feature extraction, object detection, and classification.
• Excellent problem-solving skills, ability to work independently, and communicate complex technical concepts effectively to diverse stakeholders.

• You have experience of 2-4 years in building high-performance consumer-facing mobile applications at Product companies of a decent scale.
• You can write code preferably in Golang and Python.
• You have experience with debugging production issues and writing RCAs.
• You have demonstrable stories of being on-call and how outages have been handled.
• You have experience developing products on Kubernetes and cloud providers like GCP and AWS.
• You have worked with Cloud Native (CNCF) technologies.
• You have experience automating CI/CD pipelines.
• You are an excellent collaborator & communicator. You know that start-ups are a team sport.
• You listen to others, aren’t afraid to speak your mind and always try to ask the right questions.
• You are excited by the prospect of working in a distributed team and company