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Key Responsibilities:

Purchase Order Processing:

Prepare and review purchase orders from various departments or individuals within the organization.

Verify the accuracy and completeness of purchase orders, ensuring they are properly authorized and comply with company policies.

Enter purchase order details into the accounting system (Tally Prime)

Invoice Verification and Processing:

Gather invoices and match them with corresponding purchase orders and delivery receipts.

Verify the accuracy of invoices, including quantities, prices, and applicable taxes.

Resolve discrepancies or issues with invoices by communicating with vendors, procurement, and other internal stakeholders.

Coordinate with vendors to resolve any payment-related inquiries or issues.

Engage in Warehousing activities related to invoices and inventory.

Vendor Relationship Management:

Develop and maintain positive relationships with vendors, responding to inquiries and resolving any issues promptly.

Ensure vendor accounts are accurately maintained in the accounting system, including contact information and payment terms.

Communicate payment schedules to vendors and provide remittance advice as required.

Reporting and Reconciliation:

Prepare periodic reports related to accounts payable, such as the outstanding creditor's reports, vendor ageing payables, and vendor statements.

Reconcile vendor statements with accounts payable records, investigating and resolving any discrepancies.

We are seeking freshers with strong human anatomy and psychology awareness, excellent communication skills, and the ability to connect with diverse audiences. As a Field Sales Representative Intern, you will be responsible for giving product demos, finding and qualifying leads, and driving sales conversions. This is a 3-month performance-based stipend internship. Compensation will be based on qualified leads and successful closures. The role requires constant field activity - you will be on the ground daily, meeting prospects, generating leads, and building customer relationships

Key Responsibilities-

1. Conduct on-field product and service demonstrations to potential customers.

2. Actively find and generate leads through field visits, networking, and local outreach.

3. Engage with qualified leads and convert them into sales opportunities.

4. Build rapport using psychology-driven communication techniques.

5. Represent the brand locally and internationally with professionalism. 6. Provide feedback from field interactions to improve sales strategies. 7. Maintain a strong presence in the field, visiting prospects and clients regularly.

Requirements-

1. Freshers only - no prior experience required.

2. Strong understanding of human anatomy and psychology for persuasive communication.

3. Excellent verbal communication skills in Hindi, Marathi, and English. 4. Confidence in public speaking and interpersonal interactions.

5. Willingness to be constantly on the field engaging with customers and finding leads.

6. Self-motivated, energetic, and eager to learn sales processes. 

Compensation-

1. Performance-based stipend on qualified leads and successful sales conversions.

2. There is no fixed stipend for this internship.

Growth Opportunities

1. Hands-on exposure to field sales, lead generation, and customer engagement.

2. Opportunity to build a career in sales, marketing, and business development.

3. Develop cross-cultural communication skills for regional and international markets

4. Certificates, Experience letter and Recommendations. 

• Strong AI/ML OR Software Developer Profile
• Mandatory (Experience 1) - Must have 3+ YOE in Core Software Developement (SDLC)
• Mandatory (Experience 2) - Must have 2+ years of experience in AI/ML, preferably in conversational AI domain (spped to text, text to speech, speech emotional recognition) or agentic AI systems.
• Mandatory (Experience 3) - Must have hands-on experience in fine-tuning LLMs/SLM, model optimization (quantization, distillation) and RAG
• Mandatory (Experience 4) - Hands-on Programming experience in Python, TensorFlow, PyTorch and model APIs (Hugging Face, LangChain, OpenAI, etc

Department

Product & Technology

Location

On-site | Prabhat Road, Pune

Experience

3-5 Years in a Data Engineering or Analytics Role

Domain

Fintech / Wealth Management — non-negotiable

Compensation

11-12 LPA Fixed + Performance Bonus

Growth

Title upgrade + salary revision at 12–18 months for strong performers

Why this role is different from most Data Engineer postings

You will work directly with the founding team on a live wealth management platform used by HNI and NRI clients. You will not spend years in a queue waiting to matter your work ships to production, your analysis influences product decisions, and you will guide junior teammates from day one. If you perform, a raise and title upgrade are on the table within 1218 months. This is the kind of early-team role that defines careers.

About Cambridge Wealth

Cambridge Wealth is a fast-growing, award-winning Financial Services and Fintech firm obsessed with quality and exceptional client service. We serve a high-profile clientele NRI, Mass Affluent, HNI, and ultra-HNI professionals and have received multiple awards from major Mutual Fund houses and BSE. We are past the zero-to-one stage and now focused on scaling our features and intelligence layer. You will be joining at exactly the right time.

What You Will Be Doing

This is a central, hands-on data engineering role at the intersection of financial analytics and applied ML. You will own the data pipelines and analytical models that power investment insights for wealth management clients transforming transaction data and portfolio information into measurable, actionable intelligence.

We are not looking for someone who just keeps the lights on. We want someone who looks at a working system and immediately sees how to make it 10x faster, cleaner, and smarter using AI and automation wherever possible.

Key Responsibilities:

Data Engineering & Pipelines

• Build and optimize PostgreSQL-based pipelines to process large volumes of investment transaction data.
• Design and maintain database schemas, foreign tables, and analytical structures for performance at scale.
• Write advanced SQL — window functions, stored procedures, query optimization, index design.
• Build Python automation scripts for data ingestion, transformation, and scheduled pipeline runs.
• Monitor AWS RDS workloads and troubleshoot performance issues proactively.

Financial Analytics & Modelling

• Develop analytical frameworks to evaluate client portfolios against benchmarks and category averages.
• Build data models covering mutual fund schemes, SIPs, redemptions, switches, and transfer lifecycles.
• Create materialized views and derived tables optimized for dashboards and internal reporting tools.
• Analyse client transaction history to surface patterns in investment behaviour and financial discipline.

Applied ML & AI-Driven Development

• Use Python (Pandas, NumPy, Scikit-learn) for trend analysis, forecasting, and predictive modelling.
• Implement classification or regression models to support financial pattern detection.
• Use AI tools — LLMs, Copilots — to accelerate ETL development, code quality, and data cleaning.
• Identify opportunities to automate repetitive data tasks and advocate for smarter tooling.

Data Quality & Governance

• Own data integrity end-to-end in a live, high-stakes financial environment.
• Build and maintain validation and cleaning protocols across all financial datasets.
• Maintain Excel models, Power Query workflows, and structured reporting outputs.

Collaboration & Junior Mentorship

• Work directly with Product, Investment Research, and Wealth Advisory teams.
• Translate open-ended business questions into structured queries and measurable outputs.
• Guide 1–2 junior trainees — review their work, set code quality standards, and help them grow.
• Present findings clearly to non-technical stakeholders — no jargon, just clarity.

Skills — What We Need vs. What Helps

Skill / Tool

Requirement

Must-Haves:

SQL & PostgreSQL (window functions, stored procedures, optimization)

Python — Pandas, NumPy for data processing and automation

ML fundamentals — classification or regression (Scikit-learn)

AWS RDS or equivalent cloud database experience

Financial domain knowledge — mutual funds, SIPs, portfolio concepts

Python data visualization — Matplotlib, Seaborn, or Plotly

Strong Advantage

Excel — Power Query, advanced modelling

Materialized views, query planning, index optimization

Experience with BI/dashboard tools

Good to Have

NoSQL databases

Prior fintech or wealth management startup experience

Financial Domain — Non-Negotiable

This is a wealth management platform. You must come in with a working understanding of:

• Mutual fund structures, scheme types, and NAV-based transactions
• Investment lifecycle — SIPs, Lump Sum, Redemptions, Switches, and STPs
• Portfolio allocation and benchmarking against indices (e.g. Nifty 50, category averages)
• How HNI/NRI clients interact with financial products differently from retail investors

You do not need to be a CFA. But if mutual funds and portfolio analytics are completely new territory, this role is not the right fit right now.

The Culture Fit — Read This Carefully

We are a small, fast-moving team. This is not a place where you wait for a ticket to arrive in your queue. The right person for this role:

• Has worked at a small startup before and is used to wearing multiple hats
• Finds broken or slow data systems genuinely irritating and fixes them without being asked
• Reaches for Python or an LLM when there is a repetitive task — automating is instinctive
• Is comfortable saying 'I don't know but I'll find out' and follows through independently
• Wants visibility and ownership, not just a well-defined job description
• Is looking for a role where strong performance is directly visible and rewarded

Growth Path — What Happens If You Perform

This is not a vague 'growth opportunity' pitch.

If you hit the bar in your first 12–18 months, you will receive a salary revision and a title upgrade to Senior Data Engineer or Lead Data Engineer depending on team expansion. As we scale our Data and AI team, this role is the natural stepping stone to a team lead position. You will also gain direct exposure to founding-team decision-making — the kind of access that is hard to get at larger companies.

Preferred Background

• 2–4 years in a data engineering or analytics role at a startup or small Fintech
• Experience in a live product environment where data errors have real consequences
• Exposure to portfolio analytics, investment research, or wealth management platforms
• Has mentored or reviewed code for at least one junior team member

Hiring Process

We respect your time. The process is direct and moves fast.

• Screening Questions — 5 minutes online
• Online Challenge — MCQ(Data, SQL, AWS, etc), and one applied ML or analytics problem, Communication Skills and Personality (focused, not trick questions)
• People Round — 30-minute video call, culture and communication
• Technical Deep-Dive — 1 hour in person, live financial data problems and your past work
• Founder's Interview — 1 hour in person, growth conversation and mutual fit
• Offer & Background Verification

🎥 We’re Hiring: Videographer (Content, Shoot & Editing)

📍 Location: Pune

🕘 Timing: 9:30 AM – 6:30 PM | 🗓️ 6 Days Working

💼 Experience: 4–6 Years (F&B / Lifestyle / Hospitality / Advertising)

✨ About the Role:

Bring brands to life through creative, high-quality video storytelling for social media & campaigns!

🔹 Key Responsibilities:

🎬 Plan, shoot & edit engaging content for Reels, YouTube Shorts & campaigns

🍽️ Capture food, events, pop-ups & lifestyle moments

💡 Collaborate with marketing for fresh storytelling ideas

🎞️ Edit with effects, sound design & color grading

📸 Manage equipment, shoots & video library efficiently

🎤 Cover live events, activations & influencer collaborations

🧠 Requirements:

✅ 4–6 yrs in videography & editing (F&B/lifestyle preferred)

🎥 Skilled in Premiere Pro / Final Cut / After Effects

📱 Strong grasp of social-first video trends

📸 Hands-on with DSLR/mirrorless cameras

⚡ Creative eye & ability to multitask

📩 Interested? Send your resume.

• Gathering information and documentation from clients
• Helping clients fill out immigration application forms
• Drafting submission letters
• Reviewing all documents to ensure they are accurate and meet government requirements
• Ensuring that deadlines are met
• Tracking the status of each application and keeping clients updated

ServiceNow,ITSM + CSM

Role Purpose The role holder is responsible for developing ServiceNow services, applications and modules, which satisfy the agreed requirements/stories and acceptance criteria, in collaboration with the Lead Consultant and Engagement Manager, on customer projects. The role holder will ensure that Fujitsu is seen as a trusted ServiceNow delivery partner and project activities are successfully delivered as sold, generating positive customer feedback and unpinning further business growth.Key Accountabilities 1.Product Development. In-depth knowledge of the ServiceNow Platform (2 years), from the technology, development, integration and modules, to design, develop, implement and test modules in line with agreed timelines, budget, costs, quality and development standards.2.IT Integration. Provides integration facilities and provisions logistics on ServiceNow implementation projects, for the required customer integrations.3.Process Improvement. Suggests and implements proposals for process improvements within projects, once agreed.4.Innovation. Uses new technologies and methods actively to develop competitive services on customer projects.5.Documentation. Provides technical documentation on modules / products, following company standards on customer projects.6.Technical Expertise. Maintains high level of product and solution knowledge and maintains an up-to-date skills profile in ServiceNow and Java Scripting, .NET and Jelly code.7.Capabilities: Ability to drive business requirements and take an active/leading role with customer stakeholders including C-level / director level / users.Selection Criteria:Must have implementation experience in complete ITSM and CSM (Agent and Configurable Workspace, Playbook, Types, Guided decisions, Configuration Areas, Roles, Integration of CSM with other ServiceNow Apps).Strong expertise in scripting on the ServiceNow platform using JavaScript, CSS and Angular JS: Flows, Business Rules, Client Scripts, UI Actions, Widgets and UI PagesDeep understanding of the key technologies relevant to the ServiceNow integration solutions including: Integration Hub, SSO, Web Services, LDAP, JDBC, etc.Educated to degree level or have at least three years experience in an IT industry/environmentAt least three years of experience in technical delivery, preferably within a consulting environmentServiceNow Certified Administrator is essentialServiceNow Certified Implementation Specialist is desirableServiceNow Application Developer certification is essential.Experience of software development lifecyclesExperience of Agile and Waterfall project methods.