SEO Expert

Job Description:

About CoffeeBeans Consulting

CoffeeBeans is a tech-driven software consulting company that helps businesses solve complex problems using modern data, AI, and engineering solutions. We blend deep technical expertise with a product mindset to build scalable, intelligent, and high-impact solutions across industries. Our data science team works on end-to-end delivery—from exploration and modeling to GenAI application development and deployment.

Location : Bangalore / Pune 

Work mode : Hybrid ( 3 days WFO)

Role Overview

As an L2 Data Scientist, you will play a hands-on role in delivering production-grade ML and GenAI-powered applications. You are expected to independently take ownership of data science components within client projects, contribute to solutioning and design, and mentor junior team members. You will work across a range of use cases such as personalization, fraud detection, intelligent automation, RAG pipelines, and LLM-based assistants.

This role is ideal for someone who has proven experience in both traditional ML and an emerging understanding of LLMs and generative AI applications.

Key Responsibilities

ML & Data Science

Own and deliver ML model development, tuning, and evaluation for client-facing projects.

Lead exploratory data analysis, data preprocessing, and feature engineering with minimal supervision.

Build models using appropriate ML techniques (classification, regression, clustering, recommendation) and ensure performance meets business expectations.

Contribute to experimentation frameworks and model reproducibility best practices.

GenAI & LLM Applications

Design and prototype GenAI solutions using LLMs (e.g., OpenAI, Claude, Mistral, Llama).

Build RAG pipelines, prompt templates, few-shot learning prompts, and evaluation mechanisms for GenAI systems.

Integrate LLMs with APIs, vector databases (e.g., Pinecone, FAISS, Weaviate), and context providers.

Contribute to benchmarking, safety, and cost-performance trade-offs in LLM app development.

Product & Engineering Collaboration

Collaborate with engineering teams to take models from experimentation to deployment (batch/real-time).

Assist in building APIs and data pipelines needed for productionizing models.

Contribute to technical documentation, explainability reports, and client presentations.

Team & Growth

Mentor junior data scientists and review code/model design.

Stay current with advances in ML and GenAI to inform solution design and share knowledge internally.

Participate in discovery and solutioning phases with clients alongside tech leads and PMs.

Required Skills & Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

4.5 - 6 years of hands-on experience in applied data science, including both ML model development and GenAI-based solutioning.

Strong command over Python and ML libraries (scikit-learn, XGBoost, LightGBM, etc.).

Experience working with LLM APIs (OpenAI, Cohere, Claude, etc.) and frameworks (LangChain, LlamaIndex, or similar).

Hands-on experience with prompt engineering, RAG workflows, and evaluating LLM outputs.

Proficiency in SQL and data wrangling tools (pandas, NumPy).

Experience working with REST APIs, Git, and cloud environments (AWS/GCP).

Good-to-Have Skills

Experience with deploying models via FastAPI, Docker, or serverless platforms.

Knowledge of MLOps tools (MLflow, DVC) and monitoring frameworks.

Experience with embeddings, vector databases, and similarity search.

What You Can Expect at CoffeeBeans

Work on real-world AI/ML problems across verticals.

Be part of a fast-moving team delivering end-to-end ML & GenAI apps.

Collaborate with experienced engineers and PMs in a flat and open culture.

Opportunities to lead, mentor, and influence tech direction.

Job Summary:

We are looking for a highly skilled and experienced Data Engineer with deep expertise in Airflow, dbt, Python, and Snowflake. The ideal candidate will be responsible for designing, building, and managing scalable data pipelines and transformation frameworks to enable robust data workflows across the organization.

Key Responsibilities:

• Design and implement scalable ETL/ELT pipelines using Apache Airflow for orchestration.
• Develop modular and maintainable data transformation models using dbt.
• Write high-performance data processing scripts and automation using Python.
• Build and maintain data models and pipelines on Snowflake.
• Collaborate with data analysts, data scientists, and business teams to deliver clean, reliable, and timely data.
• Monitor and optimize pipeline performance and troubleshoot issues proactively.
• Follow best practices in version control, testing, and CI/CD for data projects.

Must-Have Skills:

• Strong hands-on experience with Apache Airflow for scheduling and orchestrating data workflows.
• Proficiency in dbt (data build tool) for building scalable and testable data models.
• Expert-level skills in Python for data processing and automation.
• Solid experience with Snowflake, including SQL performance tuning, data modeling, and warehouse management.
• Strong understanding of data engineering best practices including modularity, testing, and deployment.

Good to Have:

• Experience working with cloud platforms (AWS/GCP/Azure).
• Familiarity with CI/CD pipelines for data (e.g., GitHub Actions, GitLab CI).
• Exposure to modern data stack tools (e.g., Fivetran, Stitch, Looker).
• Knowledge of data security and governance best practices.

Note : One face-to-face (F2F) round is mandatory, and as per the process, you will need to visit the office for this.

• Budget: Management of budget for Hardware Asset Management tools, services and staffing (permanent and temporary)
• Talent management: Permanent, contract, temporary and graduate trainees
• Matrix management: Management of staff with Hardware Asset Management responsibility in other business units
• Lead third-party Hardware Asset Management resources: Supervisory responsibility for third-party resources supporting Hardware Asset Management activity
• Financial: Oversight of spending on technology asset support, which includes hardware, software, cloud services, support, maintenance and hardware disposal
• Environment: Endpoints and edge devices, software and service asset vendors, on-premises data center assets, and cloud services
• Other: Liability management and remediation tracking

The IT asset manager will:

• Ensure that appropriate resources (people, tools, services) and processes are in place to gather and analyze data relating to technology asset life cycles and related processes.
• Promote and advocate the value of Hardware Asset Management to various leaders. This includes developing and promoting effective Hardware Asset Management strategies, policy, approaches and practices across the full range of digital technology assets used within the organization.
• Identify and report on breaches of Hardware Asset Management policy, and track remedial action.
• Report on (or develop reporting on) remediation of digital technology asset-related risks and progress of optimization activity.
• Ensure accurate and timely reporting, and that data completeness and quality issues are quickly identified and escalated to the responsible data or process owners.
• Gather data on and provide analysis of all activities that have an impact on the value, cost and risk of digital technology asset life cycles.
• Provide finance with the data to support the analysis of digital technology asset project and maintenance budgets and business cases.
• Assign responsibilities for sub disciplines, such as IT asset disposition (ITAD).
• Ensure that Hardware Asset Management -related tools and services are properly evaluated, selected, implemented, configured and maintained, with appropriate integration with other sources of organizational data.
• Provide access to technology asset data in support of essential activities required to support the effective running of the business.
• Manage the everyday functions of the core Hardware Asset Management team. This includes staffing, budgeting and other relevant management functions required to hold all IT and business stakeholders accountable for optimizing the cost, risk and benefit of digital technology assets throughout their life cycle.
• Managing the deployment and collection of devices and other hardware assets to the associates or offices.

The IT asset manager acts in a leadership role and must demonstrate the following leadership attributes:

• Strategic thinking — An understanding of strategic business objectives and the ability to develop a vision and strategy for Hardware Asset Management and execute it effectively in order to drive results toward those objectives
• Interpersonal skills — Proven ability to collaborate, build relationships and influence individuals at all levels in a matrix management environment (as well as external vendors and service providers) to ensure that segregation and overlapping roles are identified and coordinated
• Strategic relationship management — Includes working with vendors during compliance audits
• Strategic vision — Ability to sense emerging needs and drive change as Hardware Asset Management develops and matures to meet organizational and technology challenges

The Hardware asset manager must have the following skills:

• Strong communication skills with a proven ability to understand key business and technical concepts, and then effectively communicate these concepts with technical staff, business stakeholders and senior management
• Strong organizational skills, the ability to perform under pressure and to manage multiple priorities with competing demands for resources
• Strong analytical, data processing and problem-solving skills
• Proficiency in process formulation and improvement
• Ability to read and interrupt contracts to properly manage digital technology, which includes license and maintenance agreements
• Ability to manage the deployment and collection of devices and other hardware assets to the associates or offices in a large scale. Demonstrable experience of managing assets in hundreds of thousands will be required.

The Hardware asset manager must have in-depth knowledge and experience of the following:

• Technology asset life cycle (whether digital technology, information, financial or physical assets), best practice governance, tools and services
• Policy, process, and procedure development and implementation
• Technology contracts and their likely cost implications through the technology asset life cycle
• Engagement with sourcing, procurement and vendor management legal, tax and accountancy advisors for additional information
• Data processing, analysis and quality management tools
• Ability to manage effective deployment, collection and disposition of assets and managing the devices through its lifecycle

Additionally, an understanding of IT business continuity, cybersecurity, and integrated risk management and optimization methodologies is highly desirable, along with knowledge of IT management.

The following experience is considered essential:

• A management role, including engagement with sourcing, procurement and vendor management, business stakeholders and frontline operational IT staff
• Prior Hardware Asset Management roles (hardware or software) or demonstrable experience of working with IT asset management professionals to deliver Hardware Asset Management capability and improved business outcomes
• Atleast 16 years of experience with IT, enterprise asset management or information management
• Demonstrated leadership experience building cross-organizational consensus with exposure to technology providers and/or business clients
• Demonstrated experience in liaising with middle and senior management
• Experience with building business requirements for digital technology tools and services, developing business cases, and selecting solutions using RFP documentation and processes
• Experience leading system or tool implementations, with responsibility for verifying capabilities, outputs, dependencies and implementation scope
• Experience managing deployment, collection and disposition of assets in a large scale with globally distributed workforce.

The following experience is considered desirable, but not mandatory:

• 13+ years of experience working in the working in a large IT/ITeS organization
• 13+ years of experience in managing external IT service providers handling digital technology assets
• Experience with ServiceNow platform

This is a sensitive role dealing with commercial risks and significant costs. The organization must have a high level of confidence in the integrity and track record of the individual appointed to this role.

The following certifications are considered desirable, but not mandatory:

• ITIL v3 Foundation certification
• Certified IT Asset Manager
• COBIT 5 Foundation

• An undergraduate or postgraduate degree in finance, IT, engineering, business management or a related field
• Tertiary qualifications in financial accounting, project management or data analysis, or a legal or paralegal qualification that includes contract, copyright or intellectual property law are preferred

We are looking to hire an experienced AngularJS Developer to join our dynamic team. 

To ensure success as an AngularJS Developer, you should have extensive knowledge of theoretical software engineering, be proficient in JavaScript, HTML, and CSS, and have excellent project management skills. 

• Proficient understanding of Angular
• Experience of working on DOM based JavaScript frameworks.
• Experience with JavaScript, HTML, CSS and jQuery.
• Familiarity with ticketing tools JIRA & Trello.
  Excellent in analytical and multitasking skills.
• UX (Front-End) development.
• Ability to work with a team of developers, communicating professionally and effectively.

Founded in 2012, the leader in high-assurance digital identity verification technology. Named to Forbes’ 2019 AI 50 list as one of America’s most promising AI companies, and a recent winner of API World’s Best Data API, They applies artificial intelligence and machine learning techniques with trusted online/offline data intelligence from email, address, phone, IP, social media and the broader Internet to verify identities in real-time. Customers include four of the top five U.S. banks, seven of the top 10 U.S. card issuers, as well as the majority of leading digital banks, lenders and insurers across the U.S. We are funded $200M by some of the world's best investors and entrepreneurs including Scale Venture Partners, Commerce Ventures, Work-Bench, Santander InnoVentures and Two Sigma Ventures.

We are currently looking for a Senior QA Engineer to join our fast-growing QA team. With our Product Engineering team rapidly iterating and deploying new code, our Test Engineers drive the crucial effort of designing automated test suites that are reliable and maintainable. This team is tasked with ensuring the automated testing of existing code and developing thorough test approaches for new features and products. 

This role reports directly to our Director of QA, and will be based in Chennai, India. If you are someone who is motivated by solving problems and improving efficiencies

What You’ll Bring:

• 5+ years of experience with testing, test automation and development
• Strong experience in designing and reviewing test plans and test cases.
• Solid experience in both manual and automated testing for REST web service APIs and/or web applications.
• Working experience in automation frameworks, like testNG, Selenium or Cypress.
• Strong coding skills in programming languages like Java, Scala or Javascript
• Experience working in an agile development environment.
• Capable of comprehending and contributing to high level requirements and designs.
• Good understanding of Linux / Unix platform.
• Nice to have: Prior experience with Amazon Web Service (AWS).

What You’ll Be Doing:

• Work closely with the rest of the Engineering team to deliver high quality products in an agile development environment.
• Participate in product design discussions and sprint planning meetings.
• Participate in full cycle SDLC: initial design, test implementation, identifying bugs, verifying bug fixes and production release.
• Design and write comprehensive test plans and test cases for releases.
• Perform manual and automated testing for REST web service APIs / web applications.
• Build and enhance automated test suites and test harnesses.
• Improve and maintain high coverage of regression automated tests.
• Improve and innovate the tooling to run tests reliably and efficiently.
• Test and verify requirements of newly implemented code by Engineering for Data Scientists. 
• Perform statistical analysis on project data for Data Science.

Perks & Benefits:

• Competitive base salary
• Equity - every employee is a stakeholder in our upside
• A tech-first company culture driven by entrepreneurial thinking and talent
• A group of highly intelligent peers that are all working in unison towards the same mission
• Insurance for employees and their dependents
• Parental leave and fertility support
• Flexible PTO
• Stipend to supply your home office

About PoshVine: 

PoshVine aspires to become the world's leading transaction-driven loyalty and engagement platform by providing a mutually beneficial ecosystem for people, banks and retailers. Our products around programmatic offers, rewards, and loyalty help retailers increase contextual engagement and financial institutions increase share of spends, while end-users maximize their rewards and savings. PoshVine works with all the global payment networks and many marquee financial institutions, including 7 of the top 10 banks in India. 

Frontend at PoshVine:

We are building super-slick, easy-to-use rewards and loyalty experiences inbuilt in banking and payment journeys. The frontend team at PoshVine strives to build solid frontend foundations, infrastructure and top-notch experiences.

We are looking for passionate, collaborative, and empathetic Frontend Developers (team-leads and individual contributors) to join us, help create outstanding user experiences leading to high customer delight and help build the future of payment-linked loyalty and engagement. You can expect:

• Freedom to evaluate and introduce new tools, libraries and coding standards.
• Work on developer productivity and platform tooling.
• Evangelise tech and share knowledge in internal and external forums.
• Contribute to Product and Design ideas and implement them like it’s your own product. 
•  

Roles & Responsibilities: 

1. Strong knowledge on Javascript fundamentals, Object oriented programming and Web concepts.
2. Experience or familiarity with AngularJS, or any other frontend framework.
3. Develop frontend application features of PoshVine's enterprise dashboards and consumer-facing bank / fintech app integrations. 
4. Zeal to learn new technologies, and Follow code quality and best practices.
5. Take end-to-end ownership of products. Ideate on product requirements with the team and drive it from design to implementation.
6. Curiosity to go in depth of codebases and libraries, and have the ability to set it up from scratch.
7. Open to work on constructive feedback and proactively share the same with peers.

You’ll be a good fit if: 

1. You’re awesome at JavaScript. We prefer people who are strong in web concepts and fundamentals, and are open to learning any framework/library.
2. You have the ability to build features from scratch which are modular and scalable, and can deliver it end-to-end.
3. You have demonstrated experience in creating front end applications using Angular and/or React, HTML5, CSS3, Jquery, Bootstrap, Backbone.js, Semantic UI, Postgres, etc. Our current platforms are mostly Angular 8+ in frontend and Ruby on Rails / PostgreSQL / MongoDB on backend. 
4. You are comfortable working on continuous integration (CI) and continuous delivery (CD) of the products using agile methodologies .
5. You are willing to explore new frameworks and languages while bringing in expertise and customer-centric usability best practices.