Sales Associate

Job Title : Tech Lead - Data Engineering (AWS, 7+ Years)

Location : Gurugram

Employment Type : Full-Time

Job Summary :

Seeking a Tech Lead - Data Engineering with expertise in AWS to design, build, and optimize scalable data pipelines and data architectures. The ideal candidate will have experience in ETL/ELT, data warehousing, and big data technologies.

Key Responsibilities :

• Build and optimize data pipelines using AWS (Glue, EMR, Redshift, S3, etc.).
• Maintain data lakes & warehouses for analytics.
• Ensure data integrity through quality checks.
• Collaborate with data scientists & engineers to deliver solutions.

Qualifications :

• 7+ Years in Data Engineering.
• Expertise in AWS services, SQL, Python, Spark, Kafka.
• Experience with CI/CD, DevOps practices.
• Strong problem-solving skills.

Preferred Skills :

• Experience with Snowflake, Databricks.
• Knowledge of BI tools (Tableau, Power BI).
• Healthcare/Insurance domain experience is a plus.

Job Detail 

MSA Instruments is hiring Sales Engineers / Executives for business development and account management across Eastern India. As an Authorised Channel Partner for Siemens and Honeywell, we welcome both engineering graduates and commercially driven non-engineers who excel at field sales. If you have a passion for traveling, meeting factory clients, and closing business deals, we encourage you to apply.

Key Responsibilities & Duties

1. Managing Existing Customers

• Maintain Regular Contact: Keep in touch with our current factory clients, maintenance managers, and purchase teams through phone calls, messages, and regular site visits.
• Secure Repeat Orders: Check on their current inventory to secure recurring orders for replacement parts, upgrade tools, and consumables.
• Introduce Expanded Solutions: Show our current clients products that can further improve their factory efficiency or plant safety.

2. Bringing in New Customers

• Find New Buyers: Explore industrial zones to spot new manufacturing plants, upcoming factory setups, or workshops that need our systems.
• Make First Connections: Walk into, Email or Call new factories, to introduce our company’s product range, and connect with the right decision-makers (like Plant Heads or Purchase Officers).

3. Sales Strategy, Traveling, Deals & Deliveries

• Plan & Strategize: Plan your weekly and monthly sales schedule to ensure maximum territory coverage.
• Field Traveling: Frequently travel within your assigned industrial region to meet clients face-to-face and build strong field relationships.
• Conduct Product Demonstration Sessions: Organise online / offline product demo sessions for existing and / or new / potential customers.
• Create Price Quotations: Review what the customer needs and prepare clear, accurate price offers with support from the Inside Sales Team.
• Negotiate & Close Orders: Discuss discounts, payment terms, and delivery schedules with clients to finalize profitable sales orders.
• Coordinate Deliveries & Payments: Work with our logistics team to ensure items are delivered safely on time, and assist in completing the loop by helping the Accounts Receivable team in payment collection.

4. Customer Support & Problem Resolution

• Handle Product Issues: Act as the first point of contact if a client faces a problem with a delivered item or system.
• Resolve Conflicts Smoothly: Listen patiently to customer complaints regarding delays, wrong parts, or technical glitches, and coordinate with our the relevant OEM’s technical team to have the issue resolved quickly.
• Provide Basic Post-Sale Support: Ensure the client is satisfied with how the product is working and maintain a high level of customer trust.

5. Reporting & Updates

• Daily Sales Logging: Maintain a simple, clear record of your daily calls, client visits, and pending deals.
• Provide Progress Reports: Share regular weekly or monthly sales updates and field feedback with your manager

6. Market Awareness

• Understand the Market Landscape: Observe general industry preferences and note alternative instrumentation or automation setups commonly used across the territory.
• Track Industry Trends: Stay updated on standard market pricing, alternative product features, and common customer preferences in the region.

Key Skills Required for the Role

Part A: For Candidates WITH an Engineering Degree (Technical & Sales Skills)

Qualification: B.E. / B. Tech - (Instrumentation / Electronics / Electrical / Mechanical)

Technical Product Knowledge: Process Instrumentation, Industrial Automation, PLC, SCADA, VFD, Gas Detection Systems, Transmitters, Control Valves.

Engineering Tools & Data: Reading Engineering Drawings, Technical Datasheets, P&ID Diagrams, Technical Compliance, Tender Specifications.

Sales & Solution Design: Technical Sales, Engineering Sales, B2B Industrial Sales, Solution Pitching, ROI Calculation, Product Demonstration.

Part B: For Candidates WITHOUT an Engineering Degree (Commercial & Relationship Skills)

Qualification: B.Sc., B.A, B.Com, Diploma – (Instrumentation, Electronics & Telecommunication, Electrical)

Field Sales & Business Development: B2B Sales, Industrial Sales, Field Sales, Territory Mapping, Lead Generation, Cold Calling, Corporate Sales.

Account Management: Client Relationship Management, Customer Retention

Commercial Operations: Tender Process, GeM, Price Estimation, Commercial Quotations, Pricing Strategy, Contract Negotiation..

Job Title: AI Engineer

Location: Bangalore, India

About Us:

Meraki Labs stands at the forefront of India's deep-tech innovation landscape, operating as a dynamic venture studio established by the visionary entrepreneur Mukesh Bansal. Our core mission revolves around the creation and rapid scaling of AI-first and truly "moonshot" startups, nurturing them from their nascent stages into industry leaders. We achieve this through an intensive, hands-on partnership model, working side-by-side with exceptional founders who possess both groundbreaking ideas and the drive to execute them.

Currently, Meraki Labs is channeling its significant expertise and resources into a particularly ambitious endeavor: a groundbreaking EdTech platform. This initiative is poised to revolutionize the field of education by democratizing access to world-class STEM learning for students globally. Our immediate focus is on fundamentally redefining how physics is taught and experienced, moving beyond traditional methodologies to deliver an immersive, intuitive, and highly effective learning journey that transcends geographical and socioeconomic barriers. Through this platform, we aim to inspire a new generation of scientists, engineers, and innovators, ensuring that cutting-edge educational resources are within reach of every aspiring learner, everywhere.

Role Overview:

As an AI Engineer on the Capacity team, you will design, build, and deploy the intelligent systems that power our AI Tutor and Simulation Lab.

You’ll collaborate closely with prompt engineers, product managers, and full-stack developers to build scalable AI features that connect language, reasoning, and real-world learning. This is not a traditional ML ops role,  it’s an opportunity to engineer how intelligence flows across the product: from tutoring interactions to real-time physics reasoning.

Your Core Impact

• Build the AI backbone that drives real-time tutoring, contextual reasoning, and simulation feedback.
• Translate learning logic and educational goals into deployable, scalable AI systems.
• Enable the AI Tutor to think, reason, and respond based on structured academic material and live learner inputs.

Key Responsibilities:

1. AI System Architecture & Development

• Design and develop scalable AI systems that enable chat-based tutoring, concept explainability, and interactive problem solving.
• Implement and maintain model-serving APIs, vector databases, and context pipelines to connect content, learners, and the tutor interface.
• Contribute to the design of the AI reasoning layer that interprets simulation outputs and translates them into learner-friendly explanations.

2. Simulation Lab Intelligence

• Work with the ML team to integrate LLMs with the Simulation Lab; enabling the system to read experiment variables, predict outcomes, and explain results dynamically.
• Create evaluation loops that compare student actions against expected results and generate personalized feedback through the tutor.
• Support the underlying ML logic for physics-based prediction and real-time data flow between lab modules and the tutor layer.

3. Model Integration & Optimization

• Fine-tune, evaluate, and deploy LLMs or smaller domain models that serve specific platform functions.
• Design retrieval and grounding workflows so that all model outputs reference the correct textbook or course material.
• Optimize performance, latency, and scalability for high-traffic, interactive learning environments.

4. Collaboration & Research

• Partner with Prompt Engineers to ensure reasoning consistency across tutoring and simulations.
• Work with Product and Education teams to define use cases that align AI behavior with learning goals.
• Stay updated with new model capabilities and research advancements in RAG, tool use, and multi-modal learning systems.

5. Data & Infrastructure

• Maintain robust data pipelines for model inputs (textbooks, transcripts, lab data) and evaluation sets.
• Ensure privacy-safe data handling and continuous model performance tracking.
• Deploy and monitor AI workloads using cloud platforms (AWS, GCP, or Azure).etc.

Soft Skills:

• Strong problem-solving and analytical abilities.
• Eagerness to learn, innovate and deliver impactful results.
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Required Qualifications & Skills

• 3–4 years of experience in AI engineering, ML integration, or backend systems for AI-driven products.
• Strong proficiency in Python, with experience in frameworks like FastAPI, Flask, or LangChain.
• Familiarity with LLMs, embeddings, RAG systems, and vector databases (Pinecone, FAISS, Chroma, etc.).
• Experience building APIs and integrating with frontend components.
• Working knowledge of cloud platforms (AWS, GCP, Azure) and model deployment environments.
• Understanding of data structures, algorithms, and OOP principles.

Requirements

• Senior SD4 engineer/Principal Engineer/ Architect who has led or been part of platform teams inside a large/mid tech company
• Deep expertise working with any of the programming languages to write maintainable, scalable, unit-tested code.Python experience is a bonus - but not required
• Good understanding of REST APIs and the web in general and ability to build a feature from scratch & drive it to completion
• Experience with Kubernetes, Prometheus, Grafana, ELK stack, Load Balancing
• Experience in building a platform team on AWS for Product based companies/start-ups

What You’ll Do

• Build the core technology platform, including Automated provisioning of infrastructure, deployment, and monitoring of services
• Build a central services directory within an organization that shows the cost and health of all services and makes the management of microservices extremely easy
• This involves working with core infrastructure and understanding them in great detail - like Kubernetes, ServiceMesh, Service security
• Mentor/coach engineers to facilitate their development and provide technical leadership

Role : Oracle ERP consultant

Experience: 4-8 years

Involves L3 support and Development activities.

Good at Work Order Management, Item/Bill of materials, Quality Assurance, Order Management

Minimum Qualifications:

1. Bachelor's degree in Commerce (B.Com) or equivalent.

Preferred Skillsets:

1. Proficiency in advanced Excel functions, such as pivot tables, VLOOKUP, and macros.

2. Hands-on experience with Excel.

3. Strong interpersonal skills to effectively collaborate with Customers and team members.

4. Logical reasoning and problem-solving capability to identify and resolve discrepancies.

5. Attention to detail and accuracy in data analysis.

6. Ability to work both independently and collaboratively within a team.

7. Excellent verbal and written communication skills.

8. Time management and organizational skills.

9. Basic knowledge of accounting principles.

Responsibilities:

1. Perform regular reconciliation of customer accounts to verify the accuracy of financial transactions.

2. Analyze financial data identify discrepancies or anomalies, and investigate the root causes.

3. Prepare and maintain detailed reports and documentation of reconciliation activities.

4. Monitor and report on key performance indicators related to account reconciliation.

Job Description

Our Business Development Executives are responsible for delivering services to clients in the areas relating to business registrations, tax services, and corporate filings. Executives must be capable of engaging with clients on a range of mediums such as phone, email, live chat, and other internet-based communications channels.

A Positive attitude and ability to quickly learn are a must. Training and skill development will be provided by the organization.

Key Skills

• Comprehensive Computer Skills
• Ability to converse with clients over the Phone, email
• Ability to manage and work with multiple clients
• Positive attitude
• Punctual work ethics
• Ability to learn quickly
• Attitude to go beyond job responsibilities to ensure client satisfaction
• Experience working with CRM and Project management tools
• Languages – Proficiency in Hindi and English is mandatory

Job Responsibilities

• Handle customer requests over the phone and email on a daily basis
• Respond to custom requests