Sales Manager/Business Development Manager

JD for Sales and Marketing: 

• Build and maintain strong relationships with architects, consultants, contractors, and developers.

• Prepare and deliver technical presentations

• Conduct market research to identify trends, competitor activities, and emerging technologies.

• Represent the company at trade shows, exhibitions, and industry networking events.

• Skills & Competencies

• Strong knowledge of facade systems, materials (glass, aluminum, stone, composites), and Building material.

• Excellent communication, presentation skills.

• MBA in marketing/BBA

• For Fresher training will be given .

Highlights - Current location of candidate should be Bangalore

Total Exp - 6-12yrs

Joining Time period - Within 30 days

GCP Bigquery expert, GCP Certified

About Us

CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.

Our Values 

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement 

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/

Job Summary

We are seeking a highly skilled and motivated Data Engineer to join our Development POD for the Integration Project. The ideal candidate will be responsible for designing, building, and maintaining robust data pipelines to ingest, clean, transform, and integrate diverse public datasets into our knowledge graph. This role requires a strong understanding of Cloud Platform (GCP) services, data engineering best practices, and a commitment to data quality and scalability.

Key Responsibilities

ETL Development: Design, develop, and optimize data ingestion, cleaning, and transformation pipelines for various data sources (e.g., CSV, API, XLS, JSON, SDMX) using Cloud Platform services (Cloud Run, Dataflow) and Python.

Schema Mapping & Modeling: Work with LLM-based auto-schematization tools to map source data to our schema.org vocabulary, defining appropriate Statistical Variables (SVs) and generating MCF/TMCF files.

Entity Resolution & ID Generation: Implement processes for accurately matching new entities with existing IDs or generating unique, standardized IDs for new entities.

Knowledge Graph Integration: Integrate transformed data into the Knowledge Graph, ensuring proper versioning and adherence to existing standards. 

API Development: Develop and enhance REST and SPARQL APIs via Apigee to enable efficient access to integrated data for internal and external stakeholders.

Data Validation & Quality Assurance: Implement comprehensive data validation and quality checks (statistical, schema, anomaly detection) to ensure data integrity, accuracy, and freshness. Troubleshoot and resolve data import errors.

Automation & Optimization: Collaborate with the Automation POD to leverage and integrate intelligent assets for data identification, profiling, cleaning, schema mapping, and validation, aiming for significant reduction in manual effort.

Collaboration: Work closely with cross-functional teams, including Managed Service POD, Automation POD, and relevant stakeholders.

Qualifications and Skills

Education: Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related quantitative field.

Experience: 6+ years of proven experience as a Data Engineer, with a strong portfolio of successfully implemented data pipelines.

Programming Languages: Proficiency in Python for data manipulation, scripting, and pipeline development.

Cloud Platforms and Tools: Expertise in Google Cloud Platform (GCP) services, including Cloud Storage, Cloud SQL, Cloud Run, Dataflow, Pub/Sub, BigQuery, and Apigee. Proficiency with Git-based version control.

Core Competencies:

Must Have - SQL, Python, BigQuery, (GCP DataFlow / Apache Beam), Google Cloud Storage (GCS)

Must Have - GCP Certification

Must Have - Proven ability in comprehensive data wrangling, cleaning, and transforming complex datasets from various formats (e.g., API, CSV, XLS, JSON)

Secondary Skills - SPARQL, Schema.org, Apigee, CI/CD (Cloud Build), GCP, Cloud Data Fusion, Data Modelling

Solid understanding of data modeling, schema design, and knowledge graph concepts (e.g., Schema.org, RDF, SPARQL, JSON-LD).

Experience with data validation techniques and tools.

Familiarity with CI/CD practices and the ability to work in an Agile framework.

Strong problem-solving skills and keen attention to detail.

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?

Lantern Pharma is looking for talented and highly motivated R Shiny based front end web application developers to visualize the data analyzed / reports generated using bioinformatics pipelines. Leveraging your background and applying software engineering principles, to develop applications and tools in support of data visualization and reporting using R / R Shiny. You will be involved in generating complex graphs used for statistical analysis and interpretation using interactive libraries such as Plotly. In addition to development of new code, you will support and maintain standard R programs, which will comprise a library of code to be used for future development. This is a 6 months contract position (40 hrs / week) with possibilities of full time employment based on performance.

RESPONSIBILITIES:

• Design and develop interactive web applications using R / R Shiny to visualize ML outputs, multi-omics data and reports generated by bioinformatics pipelines
• Use the open-source or proprietary R libraries to build useful applications and packages
• Write efficient, clean and well tested code that adheres to best practices
• Organize data, analysis, reports, and applications into reproducible pipelines
• Test and debug applications to ensure they are working correctly, using both manual and automated testing techniques
• Stay up-to-date with the latest R packages and developments in the pharma industry
• Publish R packages to internal company repository
• Deploy and maintain the R Shiny web-application on the AWS server

BASIC QUALIFICATIONS:

• Bachelor's degree required (Master’s degree preferred) in a scientific discipline such as Statistics, Computer Science, Bioinformatics etc.
• Minimum 2 years of R / R Shiny, R Markdown experience with standard packages for data visualization and analysis
• Proven ability of building interactive R-shiny application (demo of the R-shiny application)
• Proficient in libraries such as ggplot2, plotly, dplyr, Highcharter and DT
• Must have experience in generating and working with R markdown reports
• Experience of AWS to host R shiny application is a plus
• Knowledge of cancer biology, genomics and drug development is a plus
• Familiarity with JavaScript, HTML, CSS, Python a plus
• Experience in building a database using Relational / Non relational Database (SQL / NoSQL)
• Must be capable of developing collaborative relationships with colleagues
• Must be self-motivated and have strong analytical, interpersonal, and project management skills
• Must demonstrate the ability to present ideas, issues, and observations in a clear manner

Lantern provides multiple growth opportunities and as an early team member, your work will have a direct impact on precision oncology that can transform drug development. In addition to attractive compensation, we offer employees the opportunity for competitive health, dental & vision insurance, stock options in a public company, an opportunity to take leadership on new and meaningful projects, & involvement with leading conferences & industry trade shows.

1. Good experience in react components, hooks and state.
2. Experiences in the implementation of responsive web layouts
3. Ability to discuss and explain design options.
4. Good experience with HTML5 & CSS3, Bootstrap Good understanding of JavaScript.
5. JavaScript libraries and CSS frameworks are preferred.

What is the work?

• You will be a part of Technology Team, involved in all the stages of architecture to development of our web based applications product.
• Designing and developing applications using Microsoft Technologies (ASP.NET MVC, C#, ASP.NET Core) with Angular or React JS
• Writing detailed programs through discussion with clients, clarifying what actions the program is intended to perform

What skills and experience are we looking for?

• Minimum 3 years of working experience in .NET based application.
• Must have knowledge with Asp.net Core 2.0 or higher, Web API & C#.
• Must have atleast 1 year of current working experience into asp.net core along with either Angular or React JS.
• A good understanding of modern front-end web development techniques including HTML5, CSS3, JavaScript, knockout, angular, react js, and jQuery libraries.

• Experience of debugging and troubleshooting websites and web applications.

• Knowledge of Azure and DevOps process and worked with 'Source control' (SVN/TFS/GIT/VSTS).
• Knowledge of Agile Development Methodologies like SCRUM.
• Willingness to learn and improve.
• Should possess strong problem-solving skills.
• Good Communication skills
• Has the ability to do multitasking and assist others by maintaining strong communication with colleagues and clients .