11+ Problem analysis Jobs in Hyderabad | Problem analysis Job openings in Hyderabad

Position Overview: We are seeking a detail-oriented and experienced Senior Accountant to join finance team in abroad countries. The ideal candidate will have a strong background in accounting principles and practices, excellent analytical skills, and the ability to work collaboratively in a fast-paced environment.

Key Responsibilities:

• Prepare and analyze financial statements, ensuring compliance with GAAP and internal policies.
• Oversee month-end and year-end closing processes, including journal entries and account reconciliations.
• Manage accounts payable and receivable functions, ensuring timely and accurate processing.
• Conduct variance analysis and prepare reports for management to support decision-making.
• Assist with budgeting and forecasting activities.
• Ensure the accuracy of financial data and identify areas for improvement in processes and controls.
• Coordinate and assist with internal and external audits.
• Mentor and train junior accounting staff.
• Stay updated on accounting regulations and best practices.

Qualifications:

• Bachelor’s degree in Accounting, Finance, or a related field; CPA or CMA preferred.
• Minimum of [X] years of accounting experience, preferably in a corporate environment.
• Strong understanding of accounting software (e.g., QuickBooks, SAP, Oracle).
• Proficiency in Microsoft Excel and other financial reporting tools.
• Excellent attention to detail and problem-solving skills.
• Strong communication and interpersonal skills.

Role & Responsibilities

• Lead enterprise-scale implementation of data warehouse data platforms on Databricks and Snowflake environments.
• Design and implement Medallion (Bronze/Silver/Gold) architecture and scalable enterprise data models.
• Establish data modeling standards (dimensional, data vault, lakehouse patterns) and ensure best practices across projects
• Establish enterprise data governance frameworks including cataloging, lineage, stewardship, and compliance using Atlan.
• Define and implement CI/CD pipelines for infrastructure and data platform deployments
• Design data architectures that support AI/ML and Generative AI workloads including vector storage, feature layers, and secure access patterns.
• Build scalable ingestion frameworks supporting batch, streaming, and CDC pipelines.
• Architect secure, high-performance data integration layers for analytics, BI, and AI consumption.
• Develop target-state architecture blueprints and enforce data standards, governance, and best practices across teams.
• Collaborate with engineering, analytics, and data science teams to ensure platform alignment and scalability.
• Engage with clients as a trusted advisor, driving data strategy, roadmap definition, and identifying opportunities for expansion.

Ideal Candidate

• Strong Databricks / AWS Data Architect profile
• Mandatory (Experience 1) – Must have minimum 8+ years of experience in Data Architecture / Data Engineering, with exposure in enterprise-scale data platform modernization initiatives
• Mandatory (Experience 2) – Must have minimum 3+ years of deep hands-on experience in Databricks-based lakehouse architecture on AWS, including large-scale data platform implementations
• Mandatory (Experience 3) – Strong expertise in Databricks ecosystem including Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, and MLflow with focus on performance optimization and security
• Mandatory (Experience 4) – Strong experience with AWS data services including S3, Glue, EMR, Lambda, Redshift, Athena, Lake Formation, and DMS, with strong understanding of cloud-native architecture patterns
• Mandatory (Experience 5) – Proven experience designing and implementing Medallion (Bronze/Silver/Gold) architecture, scalable data models (Dimensional/Data Vault), and enterprise lakehouse platforms supporting batch and real-time processing
• Mandatory (Experience 6) – Must have hands-on experience building scalable ingestion frameworks including batch, streaming, and CDC pipelines using tools like Kafka, Kinesis, Spark, or similar technologies
• Mandatory (Skill 1) – Proven experience implementing CI/CD pipelines for data platforms, including infrastructure as code, automated deployments, and environment management
• Mandatory (Skill 2) – Hands-on experience enabling data platforms for AI/ML and Generative AI use cases, including feature stores, vector storage, and secure data access patterns
• Mandatory (Skill 3) – Experience with orchestration tools such as Apache Airflow or MWAA and designing integration layers for analytics, BI, and AI consumption
• Preferred (Company) – Product Companies.
• Preferred (Certification) – AWS / Databricks / Snowflake certifications; experience with Snowflake alongside Databricks; exposure to MDM, data quality frameworks, and enterprise metadata tools

About the Role

We're looking for a Prompt Engineer with hands-on experience in LLMs and AI-powered conversational experiences. This is a unique role where prompt engineering meets conversational design — you'll craft effective prompts, optimize AI behavior, and help design natural, engaging voice interactions powered by modern AI models.

You'll work at the intersection of Generative AI, prompt engineering, conversational design, and real-time voice automation, shaping the next generation of Voice AI experiences for our SaaS products.

What You'll Do

• Write, refine, test, and optimize prompts for LLM-powered voice agents handling real-time conversations.
• Experiment with models such as GPT, Claude, Gemini, and others to determine the best fit for different use cases.
• Analyze AI responses, conversation transcripts, recordings, and performance metrics to improve accuracy, reliability, and user experience.
• Design voice-first conversations that feel natural, human-like, and intuitive.
• Map conversation flows, fallback strategies, edge cases, and user journeys for voice bots and IVRs.
• Collaborate with engineers to integrate prompts into voice AI platforms and APIs.
• Balance UX empathy (tone, clarity, accessibility) with AI constraints (latency, interruptions, context handling, and accuracy).
• Experiment with A/B testing, multilingual experiences, and emerging AI capabilities.
• Document prompt libraries, conversation specifications, testing outcomes, and design decisions for consistency and scalability.

What We're Looking For

Must Have

• Hands-on experience with prompt engineering and LLM-powered applications.
• Familiarity with leading AI models such as GPT, Claude, Gemini, or similar foundation models.
• Understanding of model strengths, limitations, and trade-offs across different LLMs.
• Ability to evaluate, troubleshoot, and improve AI outputs through prompt optimization.
• Understanding of conversational workflows, AI agents, structured outputs, and tool/function calling concepts.
• Strong written communication skills with the ability to create clear, concise, and context-aware prompts.
• Ability to diagnose AI or conversation failures and improve them using data-driven insights.
• Strong collaboration skills and comfort working with engineers, product managers, designers, and clients.

Good to Have

• Experience with voice bots, chatbots, IVRs, virtual assistants, or conversational AI products.
• Familiarity with voice AI platforms such as Retell, Vapi, ElevenLabs, Deepgram, or similar tools.
• Experience with conversation analytics, evaluation frameworks, A/B testing, or prompt experimentation.
• Exposure to multilingual conversational experiences.
• Experience working on SaaS, customer support automation, AI agents, or voice automation products.

Why Join Us?

At KnackLabs, you'll:

• Be among the early professionals shaping Voice AI experiences powered by modern LLMs.
• Work on a fast-growing SaaS product with real-world industry applications.
• Be part of a culture of experimentation, iteration, and impact.
• Grow at the intersection of AI engineering, prompt design, and conversational experiences.

Interview Process

We run a short, collaborative exercise instead of lengthy take-home assignments. You'll have the opportunity to demonstrate your prompt engineering, problem-solving, and conversational thinking skills while working with our team in real time.

Exp - 6-8.5 Yrs

Level - Assistant Manager

Skill - AI ML/Gen AI Engineer

Location - Hyderabad/ Bangalore / Gurgaon

Key Skills - GitHub Copilot and Gemini; AI/ML and Generative AI (GenAI); LLMs and GenAI agents/assistants (e.g., LangChain); cloud integration; and Python/R workflows

Key Qualifications:

§ A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor.

§ Strong software engineering foundation with deep understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc.

§ 5+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc.

§ Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc.

§ Proven experience with big data technologies, Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL.

§ Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.

§ Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc.

§ Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

Job Title: State Sales Head – Dealer Development

Job Type: Full-Time | Hybrid (Office & Field Work)

Role Overview

State Sales Head – Dealer Development to drive state-level sales growth and franchise expansion. The role focuses on building and managing a high-performing sales structure through Area Sales Managers (ASMs) while expanding Management Role Franchises and Shop Franchises across the state.

The ideal candidate will be a strong leader with proven experience in FMCG, Retail, Cement, Paint, or Franchise-based businesses, capable of executing aggressive growth strategies and maintaining long-term franchise relationships.

Key Responsibilities

• Appoint, train, guide, and monitor Area Sales Managers to achieve state-level sales objectives
• Lead recruitment and expansion of Management Role Franchises and Shop Franchises
• Drive achievement of monthly, quarterly, and annual revenue targets
• Build and maintain strong relationships with franchise partners to maximize business potential
• Design and execute strategies for franchise growth, support, and market penetration
• Monitor ASM and franchise performance using KRAs & KPIs
• Provide regular sales reports, market insights, and competitor feedback to senior management
• Proactively resolve franchise and operational issues
• Ensure strict adherence to company policies, ethical standards, and compliance norms

Key Performance Indicators (KPIs)

• Achievement of revenue targets (Monthly / Quarterly / Annual)
• Number of new Management Role & Shop Franchises onboarded
• Performance and productivity of Area Sales Managers
• Franchise satisfaction and retention rate
• Growth in state-wide market penetration and brand visibility

Required Qualifications & Skills

• Bachelor’s or Master’s degree in Business Administration, Marketing, or a related field
• 7–10 years of proven sales leadership experience
• (Preferred industries: FMCG, Retail, Cement, Paint, Franchise Business)
• Strong people management and leadership capabilities
• Proven track record of achieving and exceeding sales targets
• Excellent communication, negotiation, and relationship management skills
• Entrepreneurial mindset with strong problem-solving abilities
• Willingness to travel extensively within the state

Required Skills:

• Experience in systems administration, SRE or DevOps focused role
• Experience in handling production support (on-call)
• Good understanding of the Linux operating system and networking concepts.
• Demonstrated competency with the following AWS services: ECS, EC2, EBS, EKS, S3, RDS, ELB, IAM, Lambda.
• Experience with Docker containers and containerization concepts
• Experience with managing and scaling Kubernetes clusters in a production environment
• Experience building scalable infrastructure in AWS with Terraform.
• Strong knowledge of Protocol-level such as HTTP/HTTPS, SMTP, DNS, and LDAP
• Experience monitoring production systems
• Expertise in leveraging Automation / DevOps principles, experience with operational tools, and able to apply best practices for infrastructure and software deployment (Ansible).
• HAProxy, Nginx, SSH, MySQL configuration and operation experience
• Ability to work seamlessly with software developers, QA, project managers, and business development
• Ability to produce and maintain written documentation

About the company: RealmApp is a browser extension for literacy, discovery, and productivity for Web3 users. Users can choose from a range of customisable widgets suiting their stage and role in crypto.

The team comprises experienced crypto entrepreneurs, operators, and stalwarts of the industry as advisors and investors.

Min Requirements:

• Figma basics
• Passionate about UI/UX
• Understanding fundamental design concepts such as color theory, typography, and composition

Good to have:

• A general understanding of web and mobile technologies and development languages
• Fundamental knowledge of user experience research and testing methods

Application Process:

Interested candidates can apply by sharing assessments of the company website (www.realmapp.io) along with their portfolio link.

Key Responsibilities:

1. Training the field team on Sales pitch on regular basis

2. Responsible for revenue generation through sales

3. Drive the off-line lead generation activities for the cities (primarily through referrals) 4. Ensure

minimum 50% sales conversion on the leads assigned to the team 5. Figure out new channels

to generate more leads off-line and ensure conversions on the same 6. Regular evaluation of

the sales team through test and measure their performance 7. Improve the sales efficiency of

the sales team

8. Tracking MoM performance for each of the field sales team

9. Work on the reports for the management and ensure data sanity

10. Real time handling the objection during sales and assisting the field sales team when they

are in front of the client

11. Share feedback on the pricing, policy change and other circumstances which may cause

downfall in sales numbers

12. Conduct motivation sessions with team to keep their moral high