Jr Hardware Engineer

Department: Sales

Reports To: Sales Head

Key Responsibilities (KRA)

1. Outbound Prospecting (35%)

Build target account lists (Fortune 500 & Global 2000)

Identify Procurement, Finance, AP, Shared Services and Supply Chain decision makers

Execute personalized outreach via:

Cold Calls

LinkedIn

Email

Video Messages

Book discovery meetings

Target

 70–100 outbound activities/day

15–20 new accounts/week

2. Pipeline Generation (30%)

Generate qualified opportunities for Account Executives.

Monthly Targets:

18–25 Discovery Meetings

12–15 Sales Qualified Opportunities (SQOs)

Pipeline Generated:

USD 500K–1M per quarter

3. Lead Qualification (15%)

Qualify prospects based on:

ERP landscape (SAP, Oracle, Workday, Coupa)

Annual Revenue

Addressable Spend

Procurement maturity

AP Automation maturity

Current recovery audit process

Buying committee

Use frameworks such as MEDDICC, BANT, or CHAMP to ensure only qualified opportunities progress.

4. CRM Management (10%)

Maintain Salesforce/HubSpot with

Call notes

Next steps

Contact hierarchy

Buying committee

Opportunity stages

Maintain >95% CRM hygiene.

5. Market Intelligence (10%)

Research

Company acquisitions

ERP implementations

Shared Service Centers

Procurement transformation initiatives

Cost optimization programs

Finance leadership changes

Provide intelligence before AE meetings.

Strong B2C Brand Marketing Profile

Mandatory (Experience 1) - Must have 3+ years of experience as a marketer preferably across tech, mobility, energy, fintech, or high-growth apps

Mandatory (Experience 2) - Must have experience executing end-to-end brand and consumer campaigns across Instagram, WhatsApp, content platforms, ATL/BTL, and on-ground activations.

Mandatory (Experience 3) - Must have strong experience in digital storytelling, including social content, creator/influencer collaborations, product videos, and explainer assets

Mandatory (Experience 4) - Strong ability to turn business targets into creative strategies that drive measurable outcomes

Mandatory (Experience 5) - Must have atleast 1 year of experience managing a team of marketers

Mandatory (Company) - B2C Product companies

Mandatory (Note) - Candidate must be comfortable working on the 1st and 3rd Saturday of every month.

Job Description:

We are seeking a skilled and creative 2D/3D Designer with hands-on experience in AutoCAD and 3ds Max for interior and construction design projects. The ideal candidate will have at least 2 years of relevant experience and a passion for delivering high-quality design solutions across residential and commercial spaces.

Key Responsibilities:

• Create detailed 2D and 3D designs using AutoCAD and 3ds Max for interior and construction projects.
• Develop floor plans, layouts, elevations, and realistic 3D visualizations.
• Collaborate with architects, engineers, and clients to understand design requirements.
• Modify and revise designs based on feedback and project changes.
• Assist in site measurements, layout planning, and material selection.
• Ensure timely delivery of high-quality design outputs.

Requirements:

• Minimum 2 years of experience in interior design and drafting.
• Proficiency in AutoCAD (2D & 3D) and 3ds Max.
• Knowledge of construction detailing and interior space planning.
• Strong creative, visualization, and communication skills.
• Ability to work independently and manage multiple projects simultaneously.

Preferred Skills:

• Experience with Photoshop, SketchUp, or V-Ray is a plus.
• Understanding of materials, lighting, and textures in 3D rendering.

POSITION: BUSINESS DEVELOPMENT EXECUTIVE

Company Name: Inmakes Infotech Pvt Ltd

Location: Cochin

Job Type: Full-time, Permanent

Experience: 0 to 3 Years

Salary: From INR 12,000 to 20,000 Per Month

No. of vacancy: 10+

Candidates must need Tele calling experience.

EdTech and banking field sales experience is an added advantage.

This is a full-time Contract role and the location is Remote Fully

Compensation can be negotiated depending upon the Skill-set and experience

Will share the JD on further communication

Job Responsibilities:-

• Develop robust, scalable and maintainable machine learning models to answer business problems against large data sets.
• Build methods for document clustering, topic modeling, text classification, named entity recognition, sentiment analysis, and POS tagging.
• Perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices.
• Benchmark, apply, and test algorithms against success metrics. Interpret the results in terms of relating those metrics to the business process.
• Work with development teams to ensure models can be implemented as part of a delivered solution replicable across many clients.
• Knowledge of Machine Learning, NLP, Document Classification, Topic Modeling and Information Extraction with a proven track record of applying them to real problems.
• Experience working with big data systems and big data concepts.
• Ability to provide clear and concise communication both with other technical teams and non-technical domain specialists.
• Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment.
• Experience with noisy and/or unstructured textual data.

knowledge graph and NLP including summarization, topic modelling etc

• Strong coding ability with statistical analysis tools in Python or R, and general software development skills (source code management, debugging, testing, deployment, etc.)
• Working knowledge of various text mining algorithms and their use-cases such as keyword extraction, PLSA, LDA, HMM, CRF, deep learning & recurrent ANN, word2vec/doc2vec, Bayesian modeling.
• Strong understanding of text pre-processing and normalization techniques, such as tokenization,
• POS tagging and parsing and how they work at a low level.
• Excellent problem solving skills.
• Strong verbal and written communication skills
• Masters or higher in data mining or machine learning; or equivalent practical analytics / modelling experience
• Practical experience in using NLP related techniques and algorithms
• Experience in open source coding and communities desirable.

Able to containerize Models and associated modules and work in a Microservices environment

What you need to have: