Customer Service Executive

Position Summary : Accountant

Current Location: Bangalore

Job Location: Bangalore

Experience: 2-3 years

Notice Period: 0-15 days and Immediate joiners only

Note: This role is open only to candidates with corporate experience and strong knowledge of US GAAP.

About the Role

The successful candidate will have the opportunity to expand their responsibilities by demonstrating consistent and reliable performance. The role will initially perform the duties outlined below and with time will be expanded to deliver insight, lead projects, and drive change required by a rapidly growing Company.

Responsibilities

• Maintain the general ledger in accordance with US GAAP by accurately and timely processing transactions through the system and by preparing and posting manual journal entries in QuickBooks.
• Daily management of the Accounting inbox.
• Code Vendor invoices and schedule payments with BILL, an intelligent accounts payable platform.
• Review payroll reports from the payroll provider, Justworks, and prepare journal entries.
• Process and record bank transactions.
• Customer invoicing and payments application.
• Prepare balance sheet reconciliations such as cash, prepaid, accruals, capital assets, deferred revenue and more.
• Understand and project cash timing differences between the income statement, balance sheet, and cash flow statement.
• Review and prepare excel files analyzing general ledger data, payroll, revenue and other data.
• Respond to questions from employees, vendors, and customers.
• Support the annual tax preparation and GAAP audit processes.
• Assist with reporting, budgeting, forecasting and ad-hoc financial analysis.
• Assist in preparing monthly & quarterly financials, analyzing trends, and explaining variances as documented in the management reporting package. This includes a specific focus on drivers of trends and variances to budget.

Qualifications

• B. Com or a similar qualification with 2-3 years’ experience. Public accounting experience a plus. CPA or CA highly preferred.

Required Skills

• Knowledge of and experience applying US GAAP(mandate), generally accepted accounting principles.
• Experience in QuickBooks, Sage Intacct, ZOHO or similar systems experience preferred.

Preferred Skills

• Good communication and problem-solving skills.
• Self-motivated, comfortable working through ambiguity and comfortable providing alternative points of view.
• Detail focused and organized in nature.
• Collaborative, respectful, high integrity, and humility.
• Strong English written, oral, and listening communication skills.
• Comfortable working through change in a deadline focused environment.
• Ability to periodically work in US Central time zones.
• Ability to follow direction and offer perspective on new initiatives.

🎯 Ideal Candidate Profile:

This role requires a seasoned engineer/scientist with a strong academic background from a premier institution and significant hands-on experience in deep learning (specifically image processing) within a hardware or product manufacturing environment.

📋 Must-Have Requirements:

Experience & Education Combinations:

Candidates must meet one of the following criteria:

• Doctorate (PhD) + 2 years of related work experience
• Master's Degree + 5 years of related work experience
• Bachelor's Degree + 7 years of related work experience

Technical Skills:

• Minimum 5 years of hands-on experience in all of the following:
• Python
• Deep Learning (DL)
• Machine Learning (ML)
• Algorithm Development
• Image Processing
• 3.5 to 4 years of strong proficiency with PyTorch OR TensorFlow / Keras.

Industry & Institute:

• Education: Must be from a premier institute (IIT, IISC, IIIT, NIT, BITS) or a recognized regional tier 1 college.
• Industry: Current or past experience in a Product, Semiconductor, or Hardware Manufacturing company is mandatory.
• Preference: Candidates from engineering product companies are strongly preferred.

ℹ️ Additional Role Details:

• Interview Process: 3 technical rounds followed by 1 HR round.
• Work Model: Hybrid (requiring 3 days per week in the office).

Based on the job description you provided, here is a detailed breakdown of the Required Skills and Qualifications for this AI/ML/LLM role, formatted for clarity.

📝 Required Skills and Competencies:

💻 Programming & ML Prototyping:

• Strong Proficiency: Python, Data Structures, and Algorithms.
• Hands-on Experience: NumPy, Pandas, Scikit-learn (for ML prototyping).

🤖 Machine Learning Frameworks:

• Core Concepts: Solid understanding of:
• Supervised/Unsupervised Learning
• Regularization
• Feature Engineering
• Model Selection
• Cross-Validation
• Ensemble Methods: Experience with models like XGBoost and LightGBM.

🧠 Deep Learning Techniques:

• Frameworks: Proficiency with PyTorch OR TensorFlow / Keras.
• Architectures: Knowledge of:
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)
• Long Short-Term Memory networks (LSTMs)
• Transformers
• Attention Mechanisms
• Optimization: Familiarity with optimization techniques (e.g., Adam, SGD), Dropout, and Batch Normalization.

💬 LLMs & RAG (Retrieval-Augmented Generation):

• Hugging Face: Experience with the Transformers library (tokenizers, embeddings, model fine-tuning).
• Vector Databases: Familiarity with Milvus, FAISS, Pinecone, or ElasticSearch.
• Advanced Techniques: Proficiency in:
• Prompt Engineering
• Function/Tool Calling
• JSON Schema Outputs

🛠️ Data & Tools:

• Data Management: SQL fundamentals; exposure to data wrangling and pipelines.
• Tools: Experience with Git/GitHub, Jupyter, and basic Docker.

🎓 Minimum Qualifications (Experience & Education Combinations):

Candidates must have experience building AI systems/solutions with Machine Learning, Deep Learning, and LLMs, meeting one of the following criteria:

• Doctorate (Academic) Degree + 2 years of related work experience.
• Master's Level Degree + 5 years of related work experience.
• Bachelor's Level Degree + 7 years of related work experience.

⭐ Preferred Traits and Mindset:

• Academic Foundation: Solid academic background with strong applied ML/DL exposure.
• Curiosity: Eagerness to learn cutting-edge AI and willingness to experiment.
• Communication: Clear communicator who can explain ML/LLM trade-offs simply.
• Ownership: Strong problem-solving and ownership mindset.

Build AI Systems That Change How Industries Operate

Tailored AI is not just another tech company. We’re building the McKinsey of AI systems a new kind of firm, made up of engineers who understand business deeply and use AI as a force multiplier.

As an SDE 2, you’ll lead and own the engineering for an entire product track, often working directly with clients and stakeholders. You’ll be the architect, the executor, and the problem-solver-in-chief. You’ll take vague problem statements, turn them into elegant solutions, and bring them to life in production.

What You’ll Do

• Architect and build AI-powered software solutions from scratch
• Own a full engineering track—backend, infra, integrations, and LLM workflows
• Interface with customers to align on specs, iterate fast, and deploy with confidence
• Mentor SDE 1s and Interns, conduct code reviews, and guide engineering quality
• Stay on top of AI trends, contribute to internal tooling and shared best practices

What You’ll Gain

• Leadership opportunties and fast progression to Senior SDE roles
• Deep knowledge of how AI is transforming industries while actually building it
• High ownership, zero bureaucracy, and direct influence on product direction
• Exposure to multi-agent AI systems, enterprise integrations, and scalable infra

Who You Are

• 2–3 years of strong backend engineering experience
• Proven track record of owning software modules and delivering in production
• Skilled in Python, Django/FastAPI, Postgres, AWS
• Exposure to system design and performance optimization
• Interest in AI tools like Langchain, OpenAI, vector DBs, etc.
• Strong analytical and communication skills

Tech Stack You’ll Work With

• Python, Django, FastAPI
• Postgres, Redis, S3
• EC2, Lambda, Cloudwatch
• Langchain, LLM APIs, Vector DBs
• REST APIs, Microservices, GitHub Actions

Some Real Problems You Might Work On

• Building a multi-agent career coaching assistant that guides users and automates job hunting
• Deploying a chatbot that generates employee performance reviews on-demand from HR data
• Designing an LLM pipeline to help Indian lawyers access precedents, statutes, and case law in seconds

Interview Process

1. Screening – A quick call with a Co-Founder to align on fit
2. CV + Puzzle + Programming – 1 hour round to gauge problem-solving and fundamentals
3. Live Coding – Solve a coding task using Python + docs
4. System Design – For SDE 2, a take-home problem and a detailed discussion round

Job Description

Overview:

We are seeking an experienced Azure Data Engineer to join our team in a hybrid Developer/Support capacity. This role focuses on enhancing and supporting existing Data & Analytics solutions by leveraging Azure Data Engineering technologies. The engineer will work on developing, maintaining, and deploying IT products and solutions that serve various business users, with a strong emphasis on performance, scalability, and reliability.

Must-Have Skills:

Azure Databricks

PySpark

Azure Synapse Analytics

Key Responsibilities:

• Incident classification and prioritization
• Log analysis and trend identification
• Coordination with Subject Matter Experts (SMEs)
• Escalation of unresolved or complex issues
• Root cause analysis and permanent resolution implementation
• Stakeholder communication and status updates
• Resolution of complex and major incidents
• Code reviews (Per week 2 per individual) to ensure adherence to standards and optimize performance
• Bug fixing of recurring or critical issues identified during operations
• Gold layer tasks, including enhancements and performance tuning.
• Design, develop, and support data pipelines and solutions using Azure data engineering services.
• Implement data flow and ETL techniques leveraging Azure Data Factory, Databricks, and Synapse.
• Cleanse, transform, and enrich datasets using Databricks notebooks and PySpark.

• Orchestrate and automate workflows across services and systems.
• Collaborate with business and technical teams to deliver robust and scalable data solutions.
• Work in a support role to resolve incidents, handle change/service requests, and monitor performance.
• Contribute to CI/CD pipeline implementation using Azure DevOps.

Technical Requirements:

• 4 to 6 years of experience in IT and Azure data engineering technologies.
• Strong experience in Azure Databricks, Azure Synapse, and ADLS Gen2.
• Proficient in Python, PySpark, and SQL.
• Experience with file formats such as JSON and Parquet.
• Working knowledge of database systems, with a preference for Teradata and Snowflake.
• Hands-on experience with Azure DevOps and CI/CD pipeline deployments.
• Understanding of Data Warehousing concepts and data modeling best practices.
• Familiarity with SNOW (ServiceNow) for incident and change management.

Non-Technical Requirements:

• Ability to work independently and collaboratively in virtual teams across geographies.
• Strong analytical and problem-solving skills.
• Experience in Agile development practices, including estimation, testing, and deployment.
• Effective task and time management with the ability to prioritize under pressure.
• Clear communication and documentation skills for project updates and technical processes.

Technologies:

• Azure Data Factory
• Azure Databricks
• Azure Synapse Analytics
• PySpark / SQL
• Azure Data Lake Storage (ADLS), Blob Storage
• Azure DevOps (CI/CD pipelines)

Nice-to-Have:

• Experience with Business Intelligence tools, preferably Power BI
• DP-203 certification (Azure Data Engineer Associate) 

NOTE -

Weekly rotational shifts -

11am to 8pm

2pm to 11pm

5pm to 2 am

P.S. - In any one weekend they should be available in call. If there is any issues alone they should work on that. there will be on call support monthly once.

As a Senior Scrum Master at AVIZVA, you will be the proud skipper of

project-level Scrum Ceremonies. You will act as a bridge of dialogue

between the Scrum Team and other important stakeholders. You will not

just spot and voice the potential hiccups in your team’s progress, but you

will build solid safeguards by joining forces both within and beyond the

team

As an ambassador of Scrum principles and values, you will coach your

team to be a devoted Scrum follower. You will master the project scope

curriculum and learn the program goal basics. You will team-up with the

Product Owner and make sure that the product backlog is always up to

the minute. You will be the face of your Scrum team in cross-team

dependency reviews.

Job Responsibilities

• Acquire a holistic overview of all ongoing projects, initiatives within the

program, thoroughly understanding assigned projects' objectives,

scope, and business alignment while identifying significant cross-team

dependencies.

• Act as the custodian of Scrum practices and processes, leading the

Scrum ceremonies (Sprint Planning, Daily Standup, Sprint Review,

Sprint Retrospective) effectively and aligning them with team goals.

• Mentor the team on Agile practices, Scrum principles, product vision,

and scope, empowering them to develop a shared sense of ownership

and continuous improvement.

• Monitor project progress, provide timely feedback, and drive clear and

transparent communication within the team and with external

stakeholders.

• Identify technical and people-centered risks/roadblocks that may hinder

progress, collaborating with stakeholders to define and proactively

mitigate risks, enabling the team to focus on core tasks.

• Assist the Product Owner in refining and maintaining a visible,

transparent product backlog by estimating story points and utilizing

insights from standup meetings.

• Represent the team in weekly Scrum of Scrums meetings, presenting

detailed reports on progress, achievements, and alignment with project

goals.

• Attend PI Planning events, driving clear communication on workflow

alignment and dependencies with multiple stakeholders of the Agile

Release Train.

• Assume a proactive approach in eliminating the risk in question thus,

enabling the team to stay focused on their core tasks.

Skills & Qualifications

• Demonstrated 5 to 7 years of hands-on experience as a Scrum Master

or in Agile project management roles, exhibiting mastery in guiding

teams to successful project outcomes.

• Proficiency in facilitating Scrum events such as Sprint Planning, Daily

Standups, Sprint Review, and Sprint Retrospective, ensuring effective

collaboration and productivity.

• Extensive hands-on expertise in utilizing Agile project management

tools, particularly Jira, for comprehensive planning, tracking, and

execution of Agile projects. Strong emphasis on hands-on experience in

Jira automation.

• Deep understanding and application of Agile estimation techniques like

Story Pointing and Planning Poker, fostering accurate project planning

and delivery.

• Expertise in utilizing advanced project scheduling tools like Advance

Roadmap and PI Planning Tools such as Team Board Post Scheduler,

enabling strategic project planning and execution.

• Familiarity with SaFe methodology, providing added advantage in

orchestrating large-scale Agile initiatives.

• Proactive and enthusiastic approach to learning and adapting to new

methodologies, staying abreast of industry trends and best practices.

Expert level of knowledge in Kanban practices and strong understanding

of Lean principles.

• Strong analytical skills and proactive problem-solving ability, adept at

mitigating risks and prioritizing tasks for efficient project delivery.

• Bachelor’s or Master’s degree in Computer Science or related field

preferred, underpinning theoretical knowledge with practical experience.

• Demonstrated leadership in taking ownership of tasks and driving well-

informed decision-making through a solutions-oriented mindset,

fostering transparency and collaboration within the team.

• Discussing project aims with the development team.
• Designing and building web applications using CodeIgniter.
• Troubleshooting issues in the implementation and debug builds.
• Working with front-end and back-end developers on projects.
• Testing functionality for users and the backend.
• Ensuring that integrations run smoothly.
• Scaling projects based on client feedback.
• Recording and reporting on work done in Codeignitor/Laravel
• Maintaining web-based applications.
• Presenting work in meetings with management.

Desired Candidate Profile

• Experience working with PHP, performing unit testing, and managing APIs such as REST.
• A solid understanding of application design using Codeignitor/Laravel.
• Knowledge of database design and querying using SQL.
• Proficiency in HTML and JavaScript.
• Practical experience using the MVC architecture.

• Thoroughly understanding the data processing pipeline and troubleshooting/problem-solving the technical team
• Acting as SPOC for client communications across the portfolio of projects undertaken by the organization
• Contributing to different aspects of organizational growth– team building, process building, strategy and business development

Desired Candidate Profile

• Post-graduate degree in relevant subjects such as Economics/ Engineering/ Quantitative Social Sciences/ Management etc
• At least 5 years of relevant work experience
• Vast experience in managing multiple client projects
• Strong data/quantitative analysis skills are a must
• Prior experience working in data analytics teams
• Credible experience of data platforms & languages in the past