Category Manager

Responsibilities of the Intern:

• Participate in the full recruitment cycle from sourcing to placement.
• Serve as a matchmaker between partner companies and potential candidates.
• Build and maintain a qualified talent pool through LinkedIn outreach, cold emails, and other sourcing methods.
• Act as the point of contact (POC) for partner companies regarding recruitment processes.
• Collaborate with SaaS sales and HR leaders to meet hiring goals.

Requirements:

• Strong communication and interpersonal skills.
• Comfortable using LinkedIn and other platforms for candidate sourcing.
• Ability to work independently in a remote setup.
• Detail-oriented with good organizational skills.
• Prior experience or interest in recruitment or HR is a plus.

Eligibility:

• This is a full-time internship. Only candidates who can commit full-time should apply. If you have other commitments or cannot dedicate full-time hours, please do not apply.

About the Role

We are looking for a highly skilled Machine Learning Lead with proven expertise in demand forecasting to join our team. The ideal candidate will have 4-8 years of experience building and deploying ML models, strong knowledge of AWS ML services and MLOps practices, and the ability to lead a team while working directly with clients. This is a client-facing role that requires strong communication skills, technical depth, and leadership ability.

Key Responsibilities

• Lead end-to-end design, development, and deployment of demand forecasting models.
• Collaborate with clients to gather requirements, define KPIs, and translate business needs into ML solutions.
• Architect and implement ML workflows using AWS ML ecosystem (SageMaker, Bedrock, Lambda, S3, Step Functions, etc.).
• Establish and enforce MLOps best practices for scalable, reproducible, and automated model deployment and monitoring.
• Mentor and guide a team of ML engineers and data scientists, ensuring technical excellence and timely delivery.
• Partner with cross-functional teams (engineering, data, business) to integrate forecasting insights into client systems.
• Present results, methodologies, and recommendations to both technical and non-technical stakeholders.
• Stay updated with the latest advancements in forecasting algorithms, time-series modeling, and AWS ML offerings.

Required Skills & Experience

• 4-8 years of experience in machine learning with a strong focus on time-series forecasting and demand prediction.
• Hands-on experience with AWS ML stack (Amazon SageMaker, Step Functions, Lambda, S3, Athena, CloudWatch, etc.).
• Strong understanding of MLOps pipelines (CI/CD for ML, model monitoring, retraining workflows).
• Proficiency in Python, SQL, and ML libraries (TensorFlow, PyTorch, Scikit-learn, Prophet, GluonTS, etc.).
• Experience working directly with clients and stakeholders to understand business requirements and deliver ML solutions.
• Strong leadership and team management skills, with the ability to mentor and guide junior team members.
• Excellent communication and presentation skills for both technical and business audiences.

Preferred Qualifications

• Experience with retail, FMCG, or supply chain demand forecasting use cases.
• Exposure to generative AI and LLMs for augmenting forecasting solutions.
• AWS Certification (e.g., AWS Certified Machine Learning – Specialty).

What We Offer

• Opportunity to lead impactful demand forecasting projects with global clients.
• Exposure to cutting-edge ML, AI, and AWS technologies.
• Collaborative, fast-paced, and growth-oriented environment.
• Competitive compensation and benefits.

We are looking for a good backend developer who has worked on core PHP and has basic frontend knowledge. Should have basic knowledge of API development and some basic concepts of Laravel. Must have MYSQL experience.

 Listening to our B2B Customer’s concerns and handling product related complaintsor

queries on TAT basis.

 Contribute ideas to resolve customer problems to improve productivity.

 Maintain and update customer documentation as needed.

 Handle customer complaints, provide appropriate solutions and alternatives withinthe time

limits; follow up to ensure resolution.

 Actively listen to the concerns with a Solution Oriented approach.

 Manage transactions over CRM

NOTE -

1. Exciting Work Culture at Product Based Firm 

2.Male Candidates are preferred. 

3. Salary - 16k (FRESHERS) upto 23k inhand (Depending upon experience)

4. 6 day working with rotational week offs (DAY SHIFT - Any 9 hours) 

5. Overtime pay and Medical Benefits 

6. Full time Work from Office Role 

7. Upskilling and continual education 

8. Office Location - AltF Coworking Suncity Success Tower, Golf Course Ext Rd, Sector 65, Gurugram, Haryana 122005

JD :

1yrs of B2B sales & Enterprise sales experience.

Lead generation/prospecting, client engagement, product-Demo.

Negotiation and closing deals, sales reporting.

Managing client relationships.

Strong understanding of selling SaaS technologies.

Strong verbal & written communication.

Demonstrated ability to develop new business opportunities.

1. Create Exclusive Distributors (minimum 4 in 4 months) in your respective areas of operation

1. To work directly with the distributor and the sales executives in designing and implementing key marketing campaigns.

1. To actively engage yourself to collect inventory, stocks and work reports of the distributor in a

daily/weekly basis.

1. To look after smooth functioning and supply chain of the authorized distributor under your

periphery.

1. To oversee sales executive schedule and plan them accordingly.

1. To facilitate cross-functional communications among project stakeholders.

1. To actively engage yourself with core marketing policies required for business development.

1. To look after the grievances and claims arising from time to time maintaining proper

coordination with the company.

1. To actively follow other marketing strategies and instructions as and when instructed by the company.

Job Description :

• Should have a very good understanding of IT requirements.
• Client communication
• Corporate communication
• Must be target oriented.