Senior Social Media

Strong Interaction Design / Product Design profile

Mandatory (Experience 1) – Must have 3+ YOE in Interaction Design / Product UX, specifically for B2C Mobile apps or digital products

Mandatory (Experience 2) – Must have strong experience designing micro-interactions, animations, and user flows (e.g., contextual UI responses like notifications, transitions, feedback states)

Mandatory (Experience 3) – Hands-on experience with designing intuitive, responsive, and engaging user interfaces, with focus on usability + delight (not just static UI screens

Mandatory (Experience 4) – Must have experience working closely with product managers and engineering teams to translate interaction concepts into shipped features

Mandatory (Experience 5) – Strong understanding of user behavior, heuristics, and interaction patterns across mobile platforms (Android/iOS)

Mandatory (Tools) – Proficiency in tools like Figma, Adobe XD, Principle, After Effects, Framer, or similar for interaction prototyping

Mandatory (Portfolio) – Strong portfolio showcasing: Micro-interactions, Motion/animation work, User flows and interaction thinking, Real product implementations (not just UI screens)

Mandatory (Education) – Design Education / HCI / Technology or related field

The Senior Finance Analyst / Accounts Supervisor delivers transactional excellence with growing independence, supporting core processes amid routine compliance demands. This foundational role builds operational tempo while developing advanced skills.

Business Leadership

•    Handle routine tasks with increasing autonomy, prioritizing effectively and resolving basic issues.

•    Support team coordination and escalate complex matters per established protocols.

•    Track basic financial KPIs and prepare standard performance reports.

Compliance Leadership

•    Apply data privacy protocols, track basic statutory compliance deadlines, and adhere to routine contractual requirements.

•    Document transactions and maintain compliance checklists accurately.

•    Support vendor invoice compliance verification processes.

Technical Leadership

•    Process high-volume invoices, vendor payments, bank reconciliations, and intercompany transactions using accounting software (Tally/QuickBooks).

•    Maintain general ledger postings, fixed asset registers, and expense allocations with 100% accuracy.

•    Prepare daily/weekly cash position reports, payment forecasts, and collections aging analysis.

•    Support month-end close activities including accruals, prepaid amortization, and variance explanations.

•    Generate standard financial reports (trial balances, AP/AR aging, expense trackers) and assist in budget data compilation.

•    Perform data validation, duplicate payment checks, and basic financial analytics using Excel pivot tables and VLOOKUPs.

•    Assist with GST/TDS computations, input tax credit tracking, and statutory return preparations under guidance.

•    Independently support budgets and monthly rolling forecasts tied to program/project pipelines and historical trends.

•    Perform basic variance analysis explaining key drivers.

•    Build bottom-up project budgets incorporating vendor inputs and contingency buffers.

•    Create scenario analyses for routine volume changes using Excel models.•   

Qualifications -

Bachelor's or Master's degree in Commerce, Accounting, or related disciplines.

•    Minimum 3-5 years of hands-on experience in accounts processing, AP/AR operations, or financial analysis roles.

•    Foundational knowledge of data privacy basics, statutory compliance deadlines (GST/TDS), and routine contractual documentation.

•    Practical experience with accounting software (Tally/QuickBooks), invoice processing systems, Excel functions, and basic reporting tools.

•    Demonstrated accuracy in transaction handling, reconciliations, and deadline management in high-volume environments.

•    Solid organizational skills, attention to detail, and ability to collaborate within finance teams.

•    Consistent performance supporting period-end activities, collections processes, and compliance documentation.

Job Details

- Job Title: Lead II - Software Engineering- AI, NLP, Python, Data science

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 7-9 years

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Job Description:

Role Proficiency:

Act creatively to develop applications by selecting appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions. Account for others' developmental activities; assisting Project Manager in day-to-day project execution.

Additional Comments:

Mandatory Skills Data Science Skill to Evaluate AI, Gen AI, RAG, Data Science

Experience 8 to 10 Years

Location Bengaluru

Job Description

Job Title AI Engineer Mandatory Skills Artificial Intelligence, Natural Language Processing, python, data science Position AI Engineer – LLM & RAG Specialization Company Name: Sony India Software Centre About the role: We are seeking a highly skilled AI Engineer with 8-10 years of experience to join our innovation-driven team. This role focuses on the design, development, and deployment of advanced enterprise-scale Large Language Models (eLLM) and Retrieval Augmented Generation (RAG) solutions. You will work on end-to-end AI pipelines, from data processing to cloud deployment, delivering impactful solutions that enhance Sony’s products and services. Key Responsibilities: Design, implement, and optimize LLM-powered applications, ensuring high performance and scalability for enterprise use cases. Develop and maintain RAG pipelines, including vector database integration (e.g., Pinecone, Weaviate, FAISS) and embedding model optimization. Deploy, monitor, and maintain AI/ML models in production, ensuring reliability, security, and compliance. Collaborate with product, research, and engineering teams to integrate AI solutions into existing applications and workflows. Research and evaluate the latest LLM and AI advancements, recommending tools and architectures for continuous improvement. Preprocess, clean, and engineer features from large datasets to improve model accuracy and efficiency. Conduct code reviews and enforce AI/ML engineering best practices. Document architecture, pipelines, and results; present findings to both technical and business stakeholders. Job Description: 8-10 years of professional experience in AI/ML engineering, with at least 4+ years in LLM development and deployment. Proven expertise in RAG architectures, vector databases, and embedding models. Strong proficiency in Python; familiarity with Java, R, or other relevant languages is a plus. Experience with AI/ML frameworks (PyTorch, TensorFlow, etc.) and relevant deployment tools. Hands-on experience with cloud-based AI platforms such as AWS SageMaker, AWS Q Business, AWS Bedrock or Azure Machine Learning. Experience in designing, developing, and deploying Agentic AI systems, with a focus on creating autonomous agents that can reason, plan, and execute tasks to achieve specific goals. Understanding of security concepts in AI systems, including vulnerabilities and mitigation strategies. Solid knowledge of data processing, feature engineering, and working with large-scale datasets. Experience in designing and implementing AI-native applications and agentic workflows using the Model Context Protocol (MCP) is nice to have. Strong problem-solving skills, analytical thinking, and attention to detail. Excellent communication skills with the ability to explain complex AI concepts to diverse audiences. Day-to-day responsibilities: Design and deploy AI-driven solutions to address specific security challenges, such as threat detection, vulnerability prioritization, and security automation. Optimize LLM-based models for various security use cases, including chatbot development for security awareness or automated incident response. Implement and manage RAG pipelines for enhanced LLM performance. Integrate AI models with existing security tools, including Endpoint Detection and Response (EDR), Threat and Vulnerability Management (TVM) platforms, and Data Science/Analytics platforms. This will involve working with APIs and understanding data flows. Develop and implement metrics to evaluate the performance of AI models. Monitor deployed models for accuracy and performance and retrain as needed. Adhere to security best practices and ensure that all AI solutions are developed and deployed securely. Consider data privacy and compliance requirements. Work closely with other team members to understand security requirements and translate them into AI-driven solutions. Communicate effectively with stakeholders, including senior management, to present project updates and findings. Stay up to date with the latest advancements in AI/ML and security and identify opportunities to leverage new technologies to improve our security posture. Maintain thorough documentation of AI models, code, and processes. What We Offer Opportunity to work on cutting-edge LLM and RAG projects with global impact. A collaborative environment fostering innovation, research, and skill growth. Competitive salary, comprehensive benefits, and flexible work arrangements. The chance to shape AI-powered features in Sony’s next-generation products. Be able to function in an environment where the team is virtual and geographically dispersed

Education Qualification: Graduate

Skills: AI, NLP, Python, Data science

Must-Haves

Skills

AI, NLP, Python, Data science

NP: Immediate – 30 Days

Strong Customer Success Manager / Implementation Manager / Post-Sales Enterprise Delivery Profiles

Mandatory (Experience 1): Must have 6+ years of relevant experience in customer-facing Customer Success / Account Management / Implementation roles.

Mandatory (Experience 2): Must have 3+ years of hands-on experience supporting enterprise customers in North America and/or Europe

Mandatory (Experience 3): Must have owned end-to-end enterprise customer implementations, including discovery, onboarding, integrations, go-live, and stabilization.

Mandatory (Experience 4): Must have experience working with CXO / VP / Director-level stakeholders as primary points of contact (POCs) for enterprise accounts.

Mandatory (Experience 5): Must have managed enterprise accounts with ACV / ARR of at least USD 40K+, and owned commercial outcomes such as renewals, expansions, upsells, and retention (NRR).

Mandatory (Experience 6): Must have worked in B2B SaaS companies with complex technical products

Mandatory (Experience 7): Must have a conceptual understanding of SaaS architecture and APIs, with the ability to troubleshoot workflows and coordinate closely with engineering and product teams (hands-on coding not required).

Mandatory (Compensation): Candidate's Current CTC should not be less than 27 LPA.

Key responsibilities:

1. Engage with parents and adult learners and schedule high-impact 1:1 video counseling sessions

2. Conduct consultative, value-driven counseling, address objections, and influence decision-makers toward successful enrollments

3. Manage and optimize the complete sales lifecycle from first interaction to final conversion, ensuring consistent follow-ups and closures

Why sales at PlanetSpark are a game-changer:

1. Warm, high-intent leads only: Connect with prospects who have already attended a demo class, zero cold calling, higher conversion potential

2. Best-in-class sales training: Access industry-leading training, live coaching, hands-on mentorship, and real-time learning from top sales performers

3. Accelerated career progression: Experience rapid growth opportunities, fast promotions, and performance-driven salary hikes

4. Recognition-driven culture: Shine in weekly reward and recognition programs that celebrate top achievers

5. Unlimited earning potential: Enjoy uncapped incentives with no ceiling on your success

• Have a willing attitude ready to take on new challenges.
• Lead the entire web application development life cycle right from the concept stage to delivery and post-launch support.
• Ensure HTML, CSS, and shared JavaScript is valid and consistent across applications.
• Strong time management, listening, and communication skills.
• Experience with and a strong understanding of mobile web development.
• Convey effectively all task progress, evaluations, suggestions, and schedules along with technical and process issues.
• Creating database schemas that represent and support business processes.
• Utilize backend data services and contribute to increasing existing data services API.

• Previous working experience as a PHP / Laravel / Shopware 6 developer.
• In-depth knowledge of object-oriented PHP.
• Basic Linux experience (command-line tools).
• MySQL profiling and query optimization.
• Creative and efficient problem solver.
• Technical Skills:- HTML, CSS, JavaScript, JQuery, Core PHP, MySql, Laravel, Symfony, Shopware 6.
• Ubuntu system knowledge is required.

About Us :

Docsumo is Document AI software that helps enterprises capture data and analyze customer documents. We convert documents such as invoices, ID cards, and bank statements into actionable data. We are work with clients such as PayU, Arbor and Hitachi and backed by Sequoia, Barclays, Techstars, and Better Capital.

As a Senior Machine Learning you will be working directly with the CTO to develop end to end API products for the US market in the information extraction domain.

Responsibilities :

• You will be designing and building systems that help Docsumo process visual data i.e. as PDF & images of documents.
• You'll work in our Machine Intelligence team, a close-knit group of scientists and engineers who incubate new capabilities from whiteboard sketches all the way to finished apps.
• You will get to learn the ins and outs of building core capabilities & API products that can scale globally.
• Should have hands-on experience applying advanced statistical learning techniques to different types of data.
• Should be able to design, build and work with RESTful Web Services in JSON and XML formats. (Flask preferred)
• Should follow Agile principles and processes including (but not limited to) standup meetings, sprints and retrospectives.

Skills / Requirements :

• Minimum 3+ years experience working in machine learning, text processing, data science, information retrieval, deep learning, natural language processing, text mining, regression, classification, etc.
• Must have a full-time degree in Computer Science or similar (Statistics/Mathematics)
• Working with OpenCV, TensorFlow and Keras
• Working with Python: Numpy, Scikit-learn, Matplotlib, Panda
• Familiarity with Version Control tools such as Git
• Theoretical and practical knowledge of SQL / NoSQL databases with hands-on experience in at least one database system.
• Must be self-motivated, flexible, collaborative, with an eagerness to learn