Sales Support Representative - US Process

Job Title : Senior Software Engineer – Frontend

Work Location : Bangalore (Hybrid – 3 days WFO)

Work Timings : 11 AM to 8 PM IST

Interview Process :

Round 1 : Geektrust Online Technical Interview (1 hour)

Round 2 : Online Interview with Toorak Capital Indian Team (1 hour)

Round 3 : Online Interview with Toorak Capital U.S. Team (30 minutes)

Round 4 : Face-to-Face Interview with the Toorak Team in Bangalore (Mandatory)

Core Requirements :

• 6 to 10 Years of experience as a Web Developer or similar role.

Proficiency in :

• React.js, HTML & CSS, JavaScript / TypeScript, Webpack, Micro-frontend architecture, Backend for Frontend (BFF) architectural pattern.
• Familiarity with version control systems like Git.
• Excellent debugging, problem-solving skills, and attention to detail.
• Strong communication skills and ability to work in a team.
• Bachelor's or Master’s degree in Computer Science, Computer Engineering, or an equivalent field.

Preferred Skills :

• Experience with Node.js.
• Experience with Content Delivery Networks (CDNs) and deploying applications.
• Experience with GCP services and Jenkins for build processes.
• Knowledge of JavaScript frameworks and libraries for web analytics.

Responsibilities :

• Develop cloud-based web applications using React.js, HTML, and CSS.
• Collaborate with UX designers to create and refine prototypes, ensuring an excellent user experience.
• Work closely with backend engineers to ensure seamless integration.
• Implement and optimize micro-frontend architecture.
• Write clean, efficient, and well-documented code.
• Stay up to date with industry trends and best practices.
• Work closely with cross-functional teams to deliver high-quality products on time.
• Implement build processes using Jenkins and deploy applications to CDNs.

JOB SUMMARY Oversee Secretarial Functions under the Companies Act, 2013 and Rules, Regulations and Guidelines made there under and other applicable Corporate Laws including SEBI laws and listing regulations; Ensure proper compliance of all applicable laws & maintain standards of corporate governance, Organizing BOD and committee meetings, AGMs. Oversee court related matters involving Mergers / Demergers / Capital Reduction etc. and oversee all Securities issuances / handling of existing shareholders / Interacting with Investor Advisory Firms KEY RESPONSIBILITIES - Compliances under Companies Law and Regulatory matters - Ensuring compliance under the Company's Act 2013 as amended from time to time and other acts in respect of Company. and its subsidiary companies. - Ensure maintenance of all records and returns as required under various statutes under Company Law. - Keeping the Certificate of Incorporation and Memorandum and Articles of Association and copies of company forms in case of Company. and its subsidiaries. - Discharging duties of Compliance Officer including in terms of the Listing Agreement and SEBI Laws, Ensuring compliance of SEBI Laws and Depositories Act including Corporate Governance as per Clause 49 of the Listing Agreement. - Ensure compliance with stock exchange listing norms, SEBI guidelines, corporate governance report. - Interface with Legal team and counsels for legal cases / appeals pertaining to Mergers / Demergers, Securities issuances etc. Matters pending with SEBI / SAT, Mumbai Board Meetings/Shareholder's Meetings/AGM- S - Ensure that board meetings, shareholder meetings are held in accordance with the applicable laws - Prepare and maintain minutes, statutory books including registers of members, directors and secretaries; and filing of return with Registrar of Companies, CLB, Stock Exchanges and Government in respect of Company. and its subsidiaries - Organising the annual general meetings and coordinating publication of the annual report. - Deal with correspondence, collate information and write reports, ensuring decisions made are communicated to the relevant company stakeholders; Investor Relations - Coordination with Registrar and Share transfer agency office ensuring proper maintenance of the register of shareholders and monitor changes in share ownership of the company. - Coordinate briefings to Investor Advisory firms General - Monitor changes in relevant legislation and the regulatory environment, and take appropriate action as and when required. - Develop and oversee the systems that ensure the company complies with all applicable codes, as well as its legal and statutory requirements. - Responsible for ensuring that company complies with standard financial and legal practice and maintains standards of good corporate governance. Team Development & Management - Manage, motivate, develop team members to enable them to perform to their potential and deliver desired results at work. - looking into documentation relating to banks like mortgage hypothecation as well as other liaising matters with banks. - any other work relating to due diligence etc. Skills:  Excellent knowledge of compliances and regulatory matters required under Company Laws & SEBI.  Ability to handle team.  Communication skills & presentation & documentation skills.  Analytical & Problem solving skills  Positive attitude  Ability and Experience of handling queries from Statutory Regulatory authorities)

mail updated resume with current salary

email: jobs[at]glansolutions[dot]com

satish: 88 O2 74 97 43

• Posting entries in Tally: Purchase/Sales, Debit/Credit Notes, Expenses.
• Maintain GST-ready records (HSN/SAC, GST rates, party GSTIN details).
• Bank & cash book maintenance and bank reconciliation.
• Vendor/customer follow-ups for missing invoices, payments, and documents.
• Support monthly closing tasks: checking ledgers, outstanding reports.

Skills Required

trong Tally knowledge + basic GST understanding.

Excel basics (VLOOKUP optional).

Accuracy, consistency, and ability to handle daily volumes.

Role Overview

As a Lead Data Scientist / Data Analyst, you’ll combine analytical thinking, business acumen, and technical expertise to design and deliver impactful data-driven solutions. You’ll lead analytical problem-solving for retail clients — from data exploration and visualisation to predictive modelling and actionable business insights.

Key Responsibilities

• Partner with business stakeholders to understand problems and translate them into analytical solutions.
• Lead end-to-end analytics projects — from hypothesis framing and data wrangling to insight delivery and model implementation.
• Drive exploratory data analysis (EDA), identify patterns/trends, and derive meaningful business stories from data.
• Design and implement statistical and machine learning models (e.g., segmentation, propensity, CLTV, price/promo optimisation).
• Build and automate dashboards, KPI frameworks, and reports for ongoing business monitoring.
• Collaborate with data engineering and product teams to deploy solutions in production environments.
• Present complex analyses in a clear, business-oriented way, influencing decision-making across retail categories.
• Promote an agile, experiment-driven approach to analytics delivery.

Common Use Cases You’ll Work On

• Customer segmentation (RFM, mission-based, behavioural)
• Price and promo effectiveness
• Assortment and space optimisation
• CLTV and churn prediction
• Store performance analytics and benchmarking
• Campaign measurement and targeting
• Category in-depth reviews and presentation to L1 leadership team

Required Skills and Experience

• 3+ years of experience in data science, analytics, or consulting (preferably in the retail domain)
• Proven ability to connect business questions to analytical solutions and communicate insights effectively
• Strong SQL skills for data manipulation and querying large datasets
• Advanced Python for statistical analysis, machine learning, and data processing
• Intermediate PySpark / Databricks skills for working with big data
• Comfortable with data visualisation tools (Power BI, Tableau, or similar)
• Knowledge of statistical techniques (Hypothesis testing, ANOVA, regression, A/B testing, etc.)
• Familiarity with agile project management tools (JIRA, Trello, etc.)

Good to Have

• Experience designing data pipelines or analytical workflows in cloud environments (Azure preferred)
• Strong understanding of retail KPIs (sales, margin, penetration, conversion, ATV, UPT, etc.)
• Prior exposure to Promotion or Pricing analytics 
• Dashboard development or reporting automation expertise

Job Description - Senior AI Engineer

We are seeking an experienced Senior AI Engineer to join our dynamic team, driving

innovation in AI-driven solutions with a global impact. This role is specifically tailored for

a highly motivated professional with a strong technical background in Python and Java,

hands-on expertise in developing Retrieval-Augmented Generation (RAG)-based

chatbots, Machine Learning, Deep Learning, and solid cloud deployment experience,

preferably on AWS. As our Senior AI Engineer, you will spearhead the end-to-end

development lifecycle, including solution architecture, design, implementation,

deployment, and scaling of cutting-edge AI applications. Your leadership will ensure the

delivery of high-performance, reliable, and impactful solutions.

What You Will Do:

• Lead the design and development of AI-driven applications, particularly focusing on

RAG based chatbot solutions.

• Architect robust solutions leveraging Python and Java to ensure scalability, reliability,

and maintainability.

• Deploy, manage, and scale AI applications using AWS cloud infrastructure, optimizing

performance and resource utilization.

• Collaborate closely with cross-functional teams to understand requirements, define

project scopes, and deliver solutions effectively.

• Mentor team members, providing guidance on best practices in software

development, AI methodologies, and cloud deployments.

• Ensure solutions meet quality standards, including thorough testing, debugging,

performance tuning, and documentation.

• Continuously research emerging AI technologies and methodologies to incorporate

best practices and innovation into our products

Requirements

Required Skills & Qualifications

• Bachelor's or master's degree in computer science, Engineering, Data Science,

Mathematics, Statistics or related fields.

• At least 3 years of professional experience in AI/Machine Learning engineering.

• Strong programming skills in Python and Java.

• Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)-

based chatbots or similar generative AI applications.

• Proficiency in cloud platforms, particularly AWS, including experience with EC2,

Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway.

• Solid understanding of AI methodologies, including natural language processing (NLP),

vector databases, embedding models, and large language model integrations.

• Experience with leading projects or teams, managing technical deliverables, and

ensuring high-quality outcomes.

Preferred Qualifications:

• AWS certifications (e.g., AWS Solutions Architect, AWS Machine Learning Specialty).

• Familiarity with popular AI/ML frameworks and libraries such as Hugging Face

Transformers, TensorFlow, PyTorch, LangChain, or similar.

• Experience in Agile development methodologies.

• Excellent communication skills, capable of conveying complex technical concepts

clearly and effectively.

• Strong analytical and problem-solving capabilities, with the ability to navigate

ambiguous technical challenge

What you will be working on?

You'll be a part of the core team and will be working with the founders in building and iterating upon the core product.

How you can grow with us?

• Will be working on the bleeding edge technologies of IoT which are not usually accessible to software engineers.

• Will get exposure to IoT Hardware and Industrial Infrastructure.

• Will get to deliver on-time, quality software in the challenging domains of Energy/IoT/Automation.
  
  

We appreciate the following traits!

• Will be dealing with the web app, mobile app, frontend, backend, etc. So, you need to be flexible in getting the work done.

• Need not be proficient in all of these but you can trump any of this by being a quick learner and a hard worker.

• Should be familiar with the transition from the development phase to the deployment phase.