Video Editor

1) Prepare 2D and 3D drawings using CAD software as per customer requirements.

2) Update and revise drawings as per design changes.

3) Ensure accuracy, clarity, and completeness of drawings and documentation.

4) Maintain proper drawing records, version control, and file organization.

5) Collaborate with sales and production teams to ensure designs are feasible and aligned with manufacturing standards.

6) Support senior draughtsmen or engineers in day-to-day design and documentation tasks.

Skills Required:

1) Proficiency in AutoCAD, SolidWorks, or other CAD design software.

2) Strong understanding of engineering drawings, dimensions, and tolerances.

3) Good attention to detail and ability to follow technical instructions.

4) Strong communication and teamwork skills.

5) Willingness to learn and adapt to new tools and processes.

Qualifications: BE (ELECTRICAL / INSTUMENTATION)

Desired Experience: Yrs of Exp / Nature of Exp 10-15 YEARS in water

industry

Key Skills Required:

Areas of expertise / skills

 Knowledge of design & estimation of MCC, PLC, cabling, instruments  Should have worked in process & proposal department for E&I estimation

 Have good experience of understand tender specifications and able to estimated E&I part based on the inputs given

 Good communication skills with vendors & clients

 Experience of Handling Large Projects is must (>20Cr.)

Target Companies:

Ion exchange/ Thermax/Vatech/Aquatech

Position Details Key Accountabilities:

 Preparation of techno commercial offer for E&I part WTP & recycle plants.

 Understanding specifications and able to optimize the cost of E&I

 Preparation of basic engineering package E&I for WTP like PID

 Should aware the vendor data base for Electrical & Automation

 Attend the technical meetings with client/consultant Reporting:

Mention reporting relationships

 Head – Engineering (E&I)

Work Location Airoli, Navi Mumbai  

About the Company:

At PIPRA Solutions, we are driven by innovation, excellence, and customer success. As a technology-first company, we specialize in Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), Cloud, and custom software development, transforming complex challenges into seamless, intelligent solutions.

Job Summary:

We are seeking a motivated and dynamic Sales Development Representative (SDR) to join our growing sales team. The SDR will be responsible for generating and qualifying new leads, building strong relationships with potential clients, and driving pipeline growth for the sales team.  The SDR is supposed to find and screen potential customers who could benefit from our products and services. This role is critical in identifying high-quality opportunities and setting up the sales team for success. As the first line of communication with a prospect, the ideal SDR has a strong understanding of the sales process and excels at researching leads, starting new relationships, and setting up sales closure for success

Key Responsibilities:

• Lead Generation & Prospecting:
• Identify and research potential clients through various channels, including LinkedIn, email, and outbound calling.
• Qualify leads by understanding their business needs and challenges.
• Generate leads through cold calls and build relationships by nurturing warm prospects and finding potential new sales opportunities
• Manage inbound leads and engage in meaningful conversations to understand their requirements.
• Anticipate needs by studying services and conducting market research to identify new leads
• Attend product training conferences and develop an understanding of our communication infrastructure.
• Monitor and attend face to face and online meetings with prospects while handling the introductions and follow-up with the sales representatives
• Pipeline Management:
• Maintain an organized pipeline of prospects in the CRM system (e.g., Salesforce, HubSpot, etc.).
• Schedule discovery meetings or demos for the Account Executives (AEs) and follow up accordingly.
• Relationship Building:
• Develop and nurture relationships with prospects, ensuring continuous engagement through personalized communication.
• Build trust and rapport with key decision-makers and stakeholders.
• Collaboration:
• Work closely with the marketing team to follow up on inbound leads and align messaging.
• Maintain a self-starter attitude while creating outreach strategies for new lead generation methods.
• Collaborate with Account Executives to develop and execute effective outreach strategies.
• Performance Metrics:
• Meet or exceed monthly and quarterly targets for lead generation, qualified opportunities, and meetings booked.
• Track and report on key performance metrics to the Sales Head. Report to sales Head with weekly, monthly, and quarterly results

Qualifications:

• Education: Bachelor’s /Master's degree in Business, Marketing,Sales, or related field
• Experience:
• 2+ years of experience in a sales, business development, or customer-facing role (preferred).
• Experience in SaaS, AI, Blockchain, or technology-based solutions is a plus.

Soft Skills:

• Strong communication skills (both written and verbal).
• Excellent interpersonal and relationship-building abilities.
• Self-motivated, goal-oriented, and highly organized.
• Ability to handle objections and rejection in a positive manner.
• Familiarity with CRM tools and sales engagement platforms (e.g., Outreach, Salesloft).

Why Join Us?

• Competitive salary and commission structure.
• Opportunities for professional growth and advancement.
• Collaborative and innovative work environment.

     Ongoing training and development to help you excel in your career.

Strong Full-Stack/Frontend Developer Profiles

Mandatory (Experience 1): Must have 2+ years of hands-on experience in software development.

Mandatory (Experience 2): Must have 2+ years of frontend development experience with React.js, HTML5, CSS3, JavaScript (ES6+);

Mandatory (Experience 3): Must have strong understanding of any 1 backend skills. (Python, Java, Node, etc)

Full-Stack Machine Learning Engineer

Role: Full-Time, Long-Term Required: Python Preferred: C++

OVERVIEW

We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.

The ideal candidate combines strong software engineering fundamentals with deep ML expertise, particularly in time series forecasting and quantitative applications. You should be comfortable operating independently, making architectural decisions, and owning systems end-to-end.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency writing clean, production-grade code—not just notebooks. Deep understanding of NumPy, Pandas, and their performance characteristics. You know when to use vectorized operations, understand memory management for large datasets, and can profile and optimize bottlenecks. Experience with async programming and multiprocessing is valuable.

Machine Learning (Required): Hands-on experience building and deploying ML systems in production. This goes beyond training models—you understand the full lifecycle: data validation, feature engineering, model selection, hyperparameter optimization, validation strategies, monitoring, and maintenance.

Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.

You should understand overfitting deeply—not just as a concept but as something you actively defend against through proper validation, regularization, and architectural choices.

Data Pipelines (Required): Design and implement robust pipelines handling real-world messiness: missing data, late arrivals, schema changes, upstream failures. You understand idempotency, exactly-once semantics, and backfill strategies. Experience with workflow orchestration (Airflow, Prefect, Dagster) expected. Comfortable with ETL/ELT patterns, incremental vs full recomputation, data quality monitoring, database design and query optimization (PostgreSQL preferred), time series data at scale.

C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.

HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION

We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.

DOMAIN EXPERIENCE: FINANCIAL DATA AND CRYPTO

Preference for candidates with experience in quantitative finance, algorithmic trading, or fintech; cryptocurrency markets and their unique characteristics; financial time series data and forecasting systems; market microstructure, volatility, and regime dynamics. This helps you understand why reproducibility is non-negotiable, why validation must account for temporal structure, and why production reliability cannot be an afterthought.

ENGINEERING STANDARDS

Code Quality: Readable, maintainable code others can modify. Proper version control (meaningful commits, branches, code review). Testing where appropriate. Documentation: docstrings, READMEs, decision records.

Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.

Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.

WHAT WE ARE LOOKING FOR

Self-Direction: Given a problem and context, you break it down, identify the path forward, and execute. You ask questions when genuinely blocked, not when you could find the answer yourself.

Long-Term Orientation: You think in years, not months. You make decisions considering future maintainability.

Intellectual Honesty: You acknowledge uncertainty and distinguish between what you know versus guess. When something fails, you dig into why.

Communication: You explain complex concepts clearly and document your reasoning.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a production ML system you built, (3) Links to relevant work if available, (4) Availability and timezone.

• Knowledge about Job Portals and Familiarity with Job Posting
• Understanding the organization's expectations in terms of the job description and specs.
• Reviewing and Shortlisting of Profiles from employment portals, networking sites, referencing networking, and job search
• Continuous efforts to ensure the talent pool data is updated timely
• Conduct Preliminary interviews, telephonic interviews, and candidate shortlisting
• For accessing passive prospective prospects, effectively utilizing one's own network, building a database, digital platforms, and referrals
• Examine the candidate's abilities, knowledge of various technologies, and essential responsibilities.
• Schedule in-person and telephonic rounds of interviews, complete technical testing, and stay in touch with prospects until they are recruited.
• Maintaining professional connections with all parties involved is essential (Ops. Managers, HR Managers, Team Members, candidates, etc.)
• Working with Hiring Managers on a regular basis to ensure that sourcing timelines are reached.
• Identify new strategies for sourcing candidates and creating new leads using the technique.
• Good understanding of keywords and how to use them when looking for resumes.
• Maintain communication with the candidates who have been given positions until they have accepted them, and so on.
• Keeping track of the recruitment database and reporting to the HOD on a frequent basis as needed. There will be a greater emphasis on employee retention and lower employee turnover.
• Finding individuals who are qualified for the job based on the job description provided.

Desired Skills:

• Pragmatic
• Self-Motivated
• Analytical Mindset
• Coordination between the team and supervisors is transparent.
• Capable of working under duress and multitasking
• Should be able to operate independently with little supervision.
• Educating yourself Agility and a can-do attitude
• Excellent communication skills, both written and vocal
• English is the preferred language for communication.
• Must be a leader and a motivator.
• Coordination abilities are essential.

We are looking for somebody who can write all day long, gets excited when someone uses a new word and will cringe on reading this- we needs a writer who gets high on words and creativity. That might sound like every writer ever, but trust us- this is an extremely rare combination. However, we will find you!

If you think you are that genius, we would love to have you on board with us. Us? Well, a designer who’s hard to catch, a project manager who knows how to get things done, a boss who doesn’t like being called the boss, a writer who barely gets the time to write, and a little pupper who keeps them all going.

Now the serious stuff: What we’d expect you to do?

Creating and curating content for social media posts and graphics

Initiating and driving outcome-oriented campaigns

Writing articles and blogs of varying lengths

Ability to work across different industries and niches- extra marks for technical writers

Capability to write diversity content- SEO. long-form, taglines, SM posts, newsletters etc

Editing and proofreading articles with attention to detail

P.S. Of course, to be able to do all this, one has to be creative!

Hang on, we have some ‘perks’ too

5 days working (phew, who would not want that!)

Salary as per Industry standards (mandatory to say)

A good looking office (we hope so)

Pixie (the little pupper, remember?)