Real-World Evidence (RWE) Analyst / Senior RWE Analyst

Job Title: Operations Manager – Retail Business

Location: Mumbai

We are pleased to share an exciting opportunity for the role of Manager – Operations and Client Servicing at Commercial Reprographers, a leading provider of high-quality digital printing and packaging solutions. As a growing organization, we are seeking a motivated and results-driven professional to support operational excellence, enhance client relationships, and contribute to business growth.

About Us

Commercial Reprographers is a trusted name in commercial reprographic and digital printing solutions. With a strong focus on innovation and quality, we cater to a diverse clientele across industries such as printing, packaging, and advertising. Our offerings include reprographic printing, digital and large-format printing, prepress solutions, and advanced technologies that support leading brands in India and globally.

Key Responsibilities

• Manage end-to-end execution of retail and brand campaigns, ensuring timely and cost-effective deployment of POSM (FSUs, TUs, end caps, dump bins, posters, self-talkers, signage, etc.).
• Act as the primary point of contact between clients and internal teams to understand campaign objectives and deliver customized solutions.
• Contribute to strategic decision-making, including product-market alignment, client servicing, and customer acquisition initiatives.
• Review and present creative concepts and project plans internally prior to client presentations.
• Estimate project costs and recommend appropriate materials based on client budgets and brand requirements.
• Lead integrated marketing campaigns for product launches and finalize rate contracts to optimize costs.
• Oversee the creation and management of Sales Orders (SO), Purchase Orders (PO), route planning, logistics coordination, and campaign execution.
• Develop and manage vendor relationships, negotiate commercial terms, and ensure timely delivery of services.
• Coordinate with logistics partners (such as Star, Delivery, Spot-on, Gati, etc.) for efficient and cost-effective distribution across pan-India retail outlets.
• Ensure accurate and timely submission of execution documents, including PODs, MIS reports, and tracking data.
• Manage vendor billing processes and ensure timely reconciliation and closure.
• Looking for candidates with experience in the printing industry.

REVIEW CRITERIA:

MANDATORY:

• Strong sales, business development and networking profile
• Must have 1+ years of experience in Sales, Business Development in investment Banking, Venture Capital, Private Equity, or related fields
• Must have experience engaging with startups or early-stage companies for partnerships or fundraising
• Must have experience identifying and sourcing startup deal flow or fundraising mandates
• Must have basic understanding of startup financing, equity structures, investor types, and fundraising models
• Must maintain deal pipeline, BD dashboards, and mandate records
• Must have high ownership and target-driven mindset

PREFERRED:

• Experience representing the company at events, networking forums, or startup platforms
• MBA preferred

ROLES AND RESPONSIBILITIES:

Deal Sourcing & Origination:

• Identify and engage startups, early-stage companies, and growth businesses seeking funding or strategic investment partners.
• Build and maintain a strong pipeline of investment opportunities and fundraising mandates.

Relationship Building:

• Develop deep relationships with founders, CXOs, and decision-makers across industries.
• Collaborate closely with the internal investment team to evaluate opportunities for both advisory and co-investment.

Market Research & Intelligence:

• Monitor emerging trends, sectors, and disruptive business models in the startup ecosystem.
• Track competitor activity and ecosystem developments to stay ahead of market shifts.

Fundraising Support:

• Pitch the firm’s advisory services and investment philosophy to startups and entrepreneurs.
• Assist in designing outreach strategies to attract quality fundraising mandates and co-investment opportunities.

Networking & Branding:

• Represent the firm at startup events, pitch competitions, and investor forums.
• Build thought leadership and enhance the firm’s brand presence within the startup and investment ecosystem.

IDEAL CANDIDATE:

Education:

• Bachelor’s degree in Finance, Commerce, Economics, Business, or related fields. MBA or equivalent qualification preferred.

Experience:

• 1-4 years of experience in sales, business development, investment banking, venture capital, private equity, or related fields.
• Strong understanding of the startup ecosystem, fundraising processes, and investment models.

Skills:

• Excellent communication, networking, and negotiation skills.
• Ability to build and maintain high-value relationships with founders and investors.
• Analytical skills to identify quality opportunities for advisory and co-investment.
• Entrepreneurial and target-driven mindset.

Location: Bangalore

Experience: 3-5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most companies are using LLMs.

Very few are building an advantage from them.

Right now, LLM cost is our largest margin constraint, and model behavior is still too generic to be defensible.

This role exists to:

• Turn LLM usage into a cost-efficient system
• Build compounding intelligence across accounts
• Create a differentiated analysis layer that competitors can’t replicate

What you’ll do

You will not just build models.

You will own the intelligence and cost structure of the platform.

1. Drive down LLM cost dramatically

• Reduce cost per interaction from ₹40 → ₹2 within 6 months
• Implement:
• Model tiering (right model for the right task)
• Caching strategies (semantic + response caching)
• Batching and async processing
• PTU / reserved capacity optimization
• Ensure performance does not degrade while reducing cost

2. Optimize infrastructure spend

• Reduce cloud spend from ₹20L/month → ₹4L/month
• Work across infrastructure layers (Azure / compute / inference)
• Balance:
• Latency
• Cost
• Throughput
• Treat infra as a first-class optimization problem

3. Build the fine-tuning and learning pipeline

• Design systems where:
• Every interaction improves future performance
• Build pipelines for:
• Fine-tuning
• Feedback loops
• Continuous model improvement
• Ensure the 5th customer deployment is structurally better than the 1st

4. Create a differentiated intelligence layer

• Build analysis systems that:
• Extract signals from interactions
• Improve decision-making
• Drive outcome improvements
• Move beyond responses → insight + action

5. Enable new AI-native product categories

• Identify opportunities where:
• AI enables workflows that were not previously possible
• Build foundational ML capabilities to unlock those categories
• Focus on creation, not just efficiency

6. Commoditize LLM usage internally

• Abstract complexity of LLM usage from product teams
• Build internal systems where:
• Cost is predictable
• Performance is consistent
• Make LLM usage a reliable utility layer

What success looks like

• Cost per interaction drops to ₹2 or lower
• Infrastructure spend reduces 5x without performance loss
• Model performance improves with every deployment
• Platform develops a clear intelligence advantage
• New AI-native capabilities become possible due to your systems

Who you are

• You have 3-5 years of experience in ML / applied AI / systems engineering
• You have worked with:
• LLMs
• Inference optimization
• Production ML systems
• You think in:
• Systems
• Trade-offs (cost vs latency vs quality)
• You care about real-world impact, not just model metrics

What will make you stand out

• Experience with:
• LLM optimization (prompting, fine-tuning, distillation)
• Distributed systems or infra-level optimizations
• High-scale inference systems
• Built systems that:
• Reduced cost significantly
• Improved performance over time
• Strong understanding of:
• Caching strategies
• Model routing
• Evaluation frameworks

Why join

• You will directly impact company margins and scalability
• Your work defines whether we have a defensible ML advantage
• You will build systems that move from:
• Generic AI usage → compounding intelligence

What this role is not

• Not research-only
• Not experimentation without production impact
• Not isolated from product and business outcomes

What this role is

• A builder of ML systems at scale
• A driver of cost and performance optimization
• A creator of long-term competitive advantage

One question to self-evaluate

Can you build ML systems that get cheaper, smarter, and more valuable with every interaction?

Edtech sales

Job location Bangalore

6 days working

Mon to sat

10Am to 8 pm

6 months to 3 years experience required in edtech sales

Inside Sales Executive

WHAT ARE WE LOOKING FOR - Minimum 6 months of experience in telesales / telecalling / inside sales.

• Comfortable working in a target-driven role & chasing daily / weekly numbers.
• Basic understanding of sales calls, follow-ups, and closures Confident verbal communication in Hindi and/or English
• Comfortable with cold calling & handling customer objections Open to learning and adapting in a fast-paced startup environment.

WHAT YOU WILL BE DOING - Conduct cold calls to travel agents to introduce StampMyVisa’s services.

• Drive activation & onboarding of agents onto the portal Conduct product demos Maintain and update call logs, activation trackers, and CRM entries.
• Collaborate with Operations & Accounts team to ensure seamless experience.
• Identify objections or adoption barriers and share insights to enhance the activation process.
• Promote and upsell key value-added services such as eSIM, travel insurance, and ongoing promotional offers

We are looking for a dynamic and result-oriented Business Development Executive with hands-on experience in IT services sales and lead generation.

Key Responsibilities:

• Handling bidding portals (Upwork, Freelancer, Guru, etc.)
• Lead generation through Email Marketing & LinkedIn
• Client communication & proposal writing
• Requirement understanding & coordination with technical team
• Follow-ups and deal closure

Required Skills:

• Experience in bidding portals
• Practical knowledge of Email Marketing campaigns
• Excellent communication & negotiation skills
• Basic understanding of IT services (Web, Mobile App, AI/ML, etc.)
• Target-oriented and self-motivated

Basic Qualification: 

• Programming experience with at least one modern language such as Java, Node.js  
• Experience with NoSQL databases like MongoDB 
• 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems. 
• Bachelor Degree in Computer Science or related field. 
• Computer Science fundamentals in object-oriented design, data structures, 
• algorithm design, problem solving, and complexity analysis. 

Preferred Qualification: 

• Experience building complex applications on distributed systems that have been successfully deployed for a large customer base. 
• Experience with Agile Scrum, having served as a Scrum Master and delivered results. 
• Application of advanced coding techniques, such as dependency injection. 
• Proven experience with: writing design documents, leading code reviews, 
• applying SCM, managing builds and managing releases. 
• Knowledge of important design patterns 
• Applying unit testing / TDD to reduce testing cycles and production support 
• load. 

LogiNext is looking for a technically savvy and passionate Senior Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 4 to 7 years of experience in data mining, data modeling, and reporting 3+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experince in team management.

• Extensive knowledge of linux kernel internals.
• Good knowledge of C programming language.
• Familiarity with any processor architecture, virtualization, storage and network management.
• Strong experience in debugging linux kernel mode
• Debugging experience across hardware and platform firmware.