
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Experience with big
- data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Similar jobs
Candidates must be from a publication/media background.
Team management experience is required.
Candidate must have worked on high-traffic websites.
Proficiency in using top industry SEO tools is a must. ( including Google Search Console, Screaming Frog, Botify, and Ahrefs. ).
Must have experience in doing regular website technical audits.
Strong knowledge of Schema.org, HTML, CSS, JavaScript, HTTP status codes, and web standards is required.
We’re building the future of AI-powered sales enablement.
PitchSense AI is a flagship product within our portfolio of AI-driven Sales and Marketing solutions.
We blend conversational intelligence, generative AI, and behavioural analytics to help people master persuasion through real-time AI simulations.
Why PitchSense AI
Working here means joining a small, fast-moving team that lives at the frontier of applied AI.
You’ll:
- Build in a high-pace, high-learning environment where ideas ship fast.
- Tinker with cutting-edge AI tools, agents, and large language models (LLMs) daily.
- Prototype novel ways to combine speech, emotion, and reasoning into human-like training experiences.
- Learn across multiple domains — engineering, design, analytics, and product.
- Work directly with the founding team on problems no one has solved before.
This is not routine work — it’s an opportunity to shape entirely new experiences in human-AI interaction while growing faster than you ever have before.
Stack: Next.js · TypeScript · NestJS · Prisma · PostgreSQL · AWS · OpenAI · AISDK · AI Agents · RAG · ElevenLabs
Culture: Ownership · Velocity · Craftsmanship
SDE II
Location: Gurgaon
Experience: 2–4 years | Type: Full-time | Reports to: CTO
Responsibilities
- Architect and scale multi-tenant systems for AI training and analytics.
- Design clean APIs and optimise data models for speed and resilience.
- Mentor junior engineers and uphold engineering best practices.
- Enhance caching, monitoring, and infrastructure reliability on AWS.
- Integrate AI-based code reviews to maintain quality and velocity.
Requirements
- 2–4 years of full-stack or backend experience.
- Expertise in TypeScript, Node.js, PostgreSQL, React/Next.js.
- Comfortable owning modules from design to production.
Bonus
- Experience with AI model integration or speech intelligence.
- Exposure to Prisma ORM, CI/CD, and monitoring tools.
Developer Tools & Workflow
Every engineer and designer at PitchSense AI uses modern, AI-augmented tools to move fast and ship better.
Tools
- Cursor IDE
- Claude Code
- AWS (Lambda, ECS, RDS, S3)
- AI-based Code Reviews
- MagicPath
- Figma AI
Workflow Highlights
- Continuous deployment via GitHub Actions / AWS Pipelines.
- PR preview environments for instant testing.
- AI-driven code review loops for rapid iteration.
- Cross-disciplinary culture - work across frontend, backend, DevOps, and design.
Culture & Perks
- Ownership from day one - every role is founding-level.
- High-performance, meritocratic culture - growth based on impact, not tenure.
- Cross-discipline learning - explore code, design, and infrastructure alike.
- MacBook for work and premium tooling.
- Annual offsite for alignment and collaboration.
- Competitive compensation and ESOPs for core hires.
- Direct mentorship from the CTO and founding team.
- Real impact - reshape how humans learn to sell, speak, and persuade through AI.
Data Scientist
Job Id: QX003
About Us:
QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights, businesses will continue to face challenges to better understand their customers and even lose them; Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.
Position Overview:
We are seeking a collaborative and analytical Data Scientist who can bridge the gap between business needs and data science capabilities. In this role, you will lead and support projects that apply machine learning, AI, and statistical modeling to generate actionable insights and drive business value.
Key Responsibilities:
- Collaborate with stakeholders to define and translate business challenges into data science solutions.
- Conduct in-depth data analysis on structured and unstructured datasets.
- Build, validate, and deploy machine learning models to solve real-world problems.
- Develop clear visualizations and presentations to communicate insights.
- Drive end-to-end project delivery, from exploration to production.
- Contribute to team knowledge sharing and mentorship activities.
Must-Have Skills:
- 3+ years of progressive experience in data science, applied analytics, or a related quantitative role, demonstrating a proven track record of delivering impactful data-driven solutions.
- Exceptional programming proficiency in Python, including extensive experience with core libraries such as Pandas, NumPy, Scikit-learn, NLTK and XGBoost.
- Expert-level SQL skills for complex data extraction, transformation, and analysis from various relational databases.
- Deep understanding and practical application of statistical modeling and machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and dimensionality reduction.
- Proven expertise in end-to-end machine learning model development lifecycle, including robust feature engineering, rigorous model validation and evaluation (e.g., A/B testing), and model deployment strategies.
- Demonstrated ability to translate complex business problems into actionable analytical frameworks and data science solutions, driving measurable business outcomes.
- Proficiency in advanced data analysis techniques, including Exploratory Data Analysis (EDA), customer segmentation (e.g., RFM analysis), and cohort analysis, to uncover actionable insights.
- Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
- Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).
- Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
- Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).
Good-to-Have Skills:
- Experience with cloud platforms (Azure, AWS, GCP) and specific services like Azure ML, Synapse, Azure Kubernetes and Databricks.
- Familiarity with big data processing tools like Apache Spark or Hadoop.
- Exposure to MLOps tools and practices (e.g., MLflow, Docker, Kubeflow) for model lifecycle management.
- Knowledge of deep learning libraries (TensorFlow, PyTorch) or experience with Generative AI (GenAI) and Large Language Models (LLMs).
- Proficiency with business intelligence and data visualization tools such as Tableau, Power BI, or Plotly.
- Experience working within Agile project delivery methodologies.
Competencies:
· Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.
· Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.
· Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
· Customer Focus - Building strong customer relationships and delivering customer-centric solutions.
· Optimizes Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.
Why Join Us?
- Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
- Work on impactful projects that make a difference across industries.
- Opportunities for professional growth and continuous learning.
- Competitive salary and benefits package.
Job Summary:
We are seeking a dynamic Online Reputation Management Consultant to ensure a strong, positive online presence across key platforms including Quora, X (formerly Twitter), Facebook/Meta, LinkedIn, YouTube, GlassDoor, and Reddit. The ideal candidate will drive systematic improvements in our digital reputation, collaborate with an extensive internal team, and work with external experts to enhance our brand perception month over month.
Key Responsibilities:
- Online Reputation Enhancement:
- Monitor and manage our online presence to ensure a consistently strong and positive reputation across all major social and review platforms.
- External Audit Coordination:
- Identify and engage with an external reputation consultant to conduct comprehensive monthly online reputation audits.
- Collaborate with the consultant to develop actionable strategies for systematic improvement, similar to practices used in managing Google reviews.
- Internal Collaboration & Engagement:
- Work closely with 500+ team members and their networks to plan and execute contests, games, and other events that leverage their social influence and drive positive public sentiment.
- Develop and implement initiatives that encourage employee advocacy and active participation in promoting our brand online.
- Strategic Reporting & Analysis:
- Provide regular reports on reputation metrics and campaign performance, and adjust strategies as needed to ensure continuous improvement.
- Proactively address any negative feedback or issues that may arise, developing crisis management plans as necessary.
Qualifications:
- Proven experience in online reputation management, digital marketing, or social media strategy.
- Strong interpersonal and communication skills, with the ability to collaborate effectively with both internal teams and external consultants.
- A data-driven mindset with proficiency in reputation management tools and social media analytics.
- Excellent organizational skills and the ability to manage multiple projects simultaneously.
- Ability to creatively engage a large network of team members and mobilize them for brand advocacy.
Preferred Qualifications:
- Bachelor’s degree in Marketing, Communications, Business, or a related field.
- Prior experience working in a corporate or agency setting focused on online reputation management.
- Familiarity with crisis management strategies and experience in executing large-scale employee engagement campaigns.
Request for Proposal (RFP): AI Receptionist for Helvetica Incoming Broker Calls
Company Overview
Helvetica Group is a direct commercial real estate lender and investment bank, specializing in providing alternative financing solutions for complex real estate transactions. We focus on fast, innovative, and common-sense underwriting to serve brokers, investors, and borrowers nationwide.
Website: helveticagroup.com
Project Overview
We are seeking an experienced AI Engineer to design and implement an AI Receptionist using Retell AI and Make (formerly Integromat). This AI Receptionist will handle incoming broker calls, collect loan request details, integrate with Salesforce, and automate follow-up communications.
Scope of Work
The solution should:
- Receive Incoming Calls
- Integrate with our phone system and Retell AI to answer broker calls professionally.
- Detect caller intent and initiate a structured loan intake conversation.
- Prompt Loan Request Details
- Use natural language conversation to gather key loan scenario data:
- Borrower and broker information
- Property type, location, value
- Loan amount requested, purpose, and timeline
- Any special circumstances (e.g., foreclosure bailout, BK buyout, etc.)
- Data Handling & Automation
- Send collected call details to Salesforce as a new Lead.
- Email a summary of the loan request to our broker group.
- Send an automated confirmation email to the caller.
- Send an SMS confirmation text to the caller with a thank-you and next steps.
- Integration Requirements
- Use Retell AI for call handling and voice interactions.
- Use Make for workflow automation (Salesforce, email, SMS).
- Ensure all data flows securely and complies with applicable regulations.
Deliverables
- Fully functional AI Receptionist integrated with our systems
- Retell AI call flow design and scripts tailored to Helvetica's lending guidelines
- Make (Integromat) scenarios for:
- Salesforce lead creation
- Email notifications (internal and external)
- SMS confirmation to caller
- Documentation for setup, maintenance, and future scaling
- Optional: Dashboard for call analytics and performance monitoring
Skills Required
- Experience with Retell AI (or similar conversational AI voice platforms)
- Expertise in Make (Integromat) or similar workflow automation tools
- Strong knowledge of Salesforce API integrations
- Experience with Twilio or other SMS/email APIs is a plus
- Understanding of secure data handling and compliance (preferred)
Proposal Requirements
Please include in your proposal:
- Relevant experience with Retell AI, Make, and Salesforce integrations
- Portfolio of similar AI automation projects (voice + CRM)
- Estimated timeline for project completion
- Proposed budget and pricing structure
- Any additional recommendations to enhance this solution
Timeline
- Proposal Submission Deadline: [Insert Date]
- Project Kickoff: [Insert Date]
- Expected Completion: Within 4-6 weeks from kickoff
Budget
We are open to proposals with fixed price or hourly rates. Please provide a clear breakdown of your pricing.
How to Apply
Submit your proposal directly through Upwork, including all requested details.
Would you also like me to include:
- Sample call flow conversation script (to attract engineers who understand the flow)?
- Technical architecture diagram (for clarity on integrations)?
- I can draft both to include in your posting. Shall I proceed?
Hi,
We are looking for Receptionist & Personal Assistant for our company. Can work remotely. Please reply if interested.
Thanks!
Cinetoons
Position: Presales Consultant
Experience: 1-5 Years (Banking, Finance, Real Estate, or Insurance)
Location: Sr. No 51/2A, Navle Icon 03rd floor Office No. 301, Opp Navle Bridge, Mumbai, Bangalore Highway, Narhe, Pune, Maharashtra 411041
Salary: 15K to 40K
Interview Mode: Face to Face
Candidates should be Pune Location only
Overview
We’re seeking a proactive Presales Consultant to generate leads, engage clients, and create opportunities for our sales team. This role involves securing positive client responses and setting up second meetings with senior team members.
Key Responsibilities
· Lead Generation: Identify potential clients through calls, emails, and digital platforms.
· Client Engagement: Build interest by effectively presenting our offerings.
· Appointment Setting: Schedule follow-up meetings for senior team members.
· Collaboration: Coordinate with sales and management teams for smooth transitions.
· Reporting: Track lead interactions and report progress.
Qualifications
· 1-2 years in Banking, Finance, Real Estate, or Insurance
· Strong communication and basic sales skills
· Proactive and self-motivated with CRM proficiency
Job Description
- Experience working as a React.js Developer.
- In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
- Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.
- Experience with user interface design.
- Experience with browser-based debugging and performance testing software.
- Excellent troubleshooting skills.
- Good project management skills.
We are seeking talented full stack engineers to join our team.
Your responsibilities as a principal full stack engineer will include:
- - Work with UX and Product Management teams to design software
- - Work with Architects and Engineering leads to build scalable software
- - Back-end software development
- - Proficient in low level system arch design
- - Strong knowledge of web development - MVC, React / Angular Framework
- - Take Product Ownership
- - Testing and fixing bugs
- - Create security and data protection settings
- - Build features with a mobile responsive design
- - Experience with Agile/Scrum methodology, Behavior Driven Development, and CI/CD
- - Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
What we are looking for:
- - 3+ years of industry experience as a Backend/Full Stack Engineer
- - Degree in Computer Science or related field
- - Experience with developing web and mobile applications
- - Must have 2-5 years of experience building applications using front end technologies like – React, Angular 2+, JavaScript/Typescript, HTML5, CSS3 and Bootstrap
- - Must have 2-5 years of full time Python (Django) experience, and hands-on experience through all stages of Agile software development life cycle.
- - Ability to write optimized codes, debug programs, and integrate applications with third party tools by developing various APIs.
- - Proficiency with Python or relevant back-end scripting language
- - Proficiency with SQL/NoSQL databases, web servers (e.g. Nginx)
- - Experience with Cloud infrastructure (e.g. AWS), relevant microservices and load scaling
- - Maintains a strong knowledge base of new open source tech stacks, applications, techniques, and skills
- - A positive attitude, and a growth mindset
- - Great attention to details
Bonus:
- - Experience with serverless deployment (e.g. Lambda)
- - Experience with API testing software (e.g. Postman)
- - Experience with multiple front-end languages and libraries (e.g. HTML/CSS, JS)
- - Good Humor
Note- We are currently working from home due to the pandemic. If selected you may work from a remote location though once office reopens candidate must work from Office.












