Sales Intern

Job Title: Data Intern

Company: Honeybee Digital

Location: Remote

Internship Duration: 3 Months

Job Type: Internship

Working Hours

• Full-time: 9:00 AM – 6:00 PM
• Part-time: 9:00 AM – 1:00 PM / 1:00 PM – 6:00 PM

About the Role

We are looking for a detail-oriented and analytical Data Intern who is eager to work with data and gain hands-on experience in data management, analysis, and reporting. This role is ideal for candidates interested in building a career in data analysis, business intelligence, or data science.

Key Responsibilities

• Collect, organize, and maintain data from various sources
• Clean and preprocess data to ensure accuracy and consistency
• Assist in data analysis and generate basic insights
• Create reports and dashboards using tools like Excel or Google Sheets
• Support teams with data requirements for marketing, operations, and business decisions
• Perform data entry and validation tasks
• Identify patterns, trends, and anomalies in datasets
• Maintain proper documentation of data processes

Requirements

• Basic knowledge of Excel / Google Sheets
• Understanding of data handling and analysis concepts
• Attention to detail and accuracy
• Basic problem-solving and analytical thinking skills
• Familiarity with tools like Python, SQL (optional but preferred)
• Ability to manage tasks and meet deadlines
• Willingness to learn and work with data

Skills You Will Gain

• Hands-on experience in data collection, cleaning, and analysis
• Exposure to real-world datasets and reporting
• Practical knowledge of Excel, data visualization, and analytics tools
• Understanding of business decision-making using data
• Experience working in a professional environment

Who Can Apply

• Students pursuing Data Science, Computer Science, IT, Statistics, or related fields
• Freshers interested in data analysis and data-related roles
• Candidates looking to gain practical experience in data handling and analytics

• Strong B2B Tech Sales profiles
• Mandatory (Experience 1): Must have a minimum 4+ YOE in B2B SaaS / Enterprise Tech sales, preferably in ERP, CAD, or Factory Automation tools.
• Mandatory (Experience 2): At least 3+ YOE selling ERP solutions or CAD Softwares.
• Mandatory (Experience 3): Proven track record in offline / field sales and experience in selling complex solutions.
• Mandatory (Tools): Proficient in CRM systems (HubSpot, Zoho, Salesforce, etc.) and lead generation tools (LinkedIn Sales Navigator, Apollo, ZoomInfo, etc.)
• Mandatory (Company): Experience in B2B SaaS Product companies or IT/Tech Services companies.
• Mandatory (Note 1) - Total experience should not be more than 7 Years.
• Mandatory (Note 2) - Overall Expected CTC should not be more than 16L

Preferred

• Preferred (Industry Fit) : Prior exposure to the Manufacturing sector (highly preferred – Garment / Textile Manufacturing).
• Preferred Companies (Competitors): Candidates from Solvei8, Zilingo, Centric Software, Gofrugal, Ginesys (or similar players in ERP/CAD/Manufacturing Saa

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.

Greetings !

This is Nivetha Shankar from People First Consultants.

We have great pleasure in sending this email from People First Consultants, a firm that specializes in Top Management placements for the last 25+ years.

Based out of Chennai we handle PAN INDIA assignments for clients in KPO, ITES, Banking, Research, Telecom, Pharmaceutical and IT clients.

Please get to know about us by visiting www.peoplefirst.co.in

We have a job opportunity for the role of "Senior HCM Program Manager" in one of the leading global IT professional firms.

Job Location: Chennai / Bangalore

Please find the below job description for the same,

• Should have deep functional knowledge especially in HCM core modules having done 4-6 implementations across industries.
• Has to understand best practices and can lead solutioning,
• Has good understanding of the tech involved.
• Speaks the HR lingo and can build confidence and trust among HR managers/CHRO
• Excellent communicator and leader
• 12-15 years of relevant experience with at least 6 in HCM implementation. Domain experience in HR function can be an advantage if in multinational organizations in any industry, or in evolved IT services companies.

Responsibilities

·        Handle inquiries and requests from customers and address their needs

·        Stay on top of accounts, making sure they receive services that are within their budget and meet their needs

·        Meet regularly with other team members to discuss progress and find new ways to improve business

                      Serve as a brand ambassador for existing and new products, developing  tailored sales pitches to each client.

·        Coordinate with Customer Support and Marketing to ensure customers satisfaction and appropriately introduce new products as they relate to client needs.

·        Generate progress reports for clients and senior leaders within the organization

·        Identify upsell, cross-sell, and renewal opportunities and communicate with the sales team regularly

Required skills and qualifications

·        Internship or professional experience in a sales or customer service role

·        Ability to multitask and juggle several responsibilities simultaneously

·        Strong written and verbal communication skills 

·        Excellent organizational skills and attention to detail

Greeting from Uplogic Technologies Pvt Ltd!!!

We are looking for a dynamic and organized professional to our team in Madurai Branch who are excel in everything he or she do and interested in learn and grow along with Uplogic Team and enhance their hands in the development of Organization. If you are interested share your updated profile.

Experience: 1 to 5 year

Designation: Jr. BDE/Sr. BDE

Job Location: Madurai

• Should have strong experience in software sales processes
• Must have experience in Business Analysis and Business Planning
• Should be responsible for generating New leads and business
• Must be excellent knowledge in Sales Presentation
• Experience in Documentation and proposals is good to have
• Exposure in App Marketing globally is added advantage
• Should have strong communication skill both nationally and internationally
• Excellent in risk taking and Decision making

And it's highly appreciated if you can refer any of your friends, whose profile is suitable for the same.