11+ Trend analysis Jobs in Hyderabad | Trend analysis Job openings in Hyderabad
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Location: Hyderabad, Telangana
Job Type: Full-time onsite
Experience: Minimum 2 years
Salary Range: INR 2,00,000 - 4,00,000 per annum
Job Description: We are seeking a creative and experienced Social Media Content Creator to join our growing team. As a Social Media Content Creator at Dot eVentures Pvt. Ltd., you will play a key role in developing and implementing our social media strategy. You will be responsible for creating engaging and informative content that resonates with our target audience and promotes our educational products and services.
Key Responsibilities:
Develop and implement a comprehensive social media strategy to increase brand awareness and engagement. Create high-quality, visually appealing content for various social media platforms, including but not limited to Instagram, Facebook, Twitter, and LinkedIn. Stay up-to-date with industry trends and incorporate best practices into content creation. Monitor social media channels for trends, feedback, and opportunities to engage with the audience. Analyze social media metrics to measure the success of campaigns and make data-driven recommendations for improvement.
Qualifications:
Minimum 2 years of experience in social media content creation, preferably in the education or edutech industry. Proven track record of creating engaging and shareable content across various social media platforms. Strong written and verbal communication skills. Proficiency in graphic design tools and video editing software is a plus. Familiarity with social media analytics and the ability to interpret data to inform content strategy.
Salary and Benefits:
Competitive salary in the range of INR 2,00,000 - 4,00,000 per annum, commensurate with experience. Opportunities for professional development and growth within a rapidly expanding startup. Collaborative and inclusive work environment.
Key Responsibilities:
- Develop and deploy machine learning, deep learning, and NLP models for various business use cases.
- Build end-to-end ML pipelines including data preprocessing, feature engineering, training, evaluation, and production deployment.
- Optimize model performance and ensure scalability in production environments.
- Work closely with data scientists, product teams, and engineers to translate business requirements into AI solutions.
- Conduct data analysis to identify trends and insights.
- Implement MLOps practices for versioning, monitoring, and automating ML workflows.
- Research and evaluate new AI/ML techniques, tools, and frameworks.
- Document system architecture, model design, and development processes.
Required Skills:
- Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras).
- Hands-on experience in building and deploying, finetuning ML/DL models in production.
- Good understanding of machine learning algorithms, neural networks, NLP, and computer vision.
- Experience with REST APIs, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
- Working knowledge of MLOps tools such as MLflow, Airflow, DVC, or Kubeflow.
- Familiarity with data pipelines and big data technologies (Spark, Hadoop) is a plus.
- Strong analytical skills and ability to work with large datasets.
- Excellent communication and problem-solving abilities.
- Experience in deploying models using cloud services (AWS Sagemaker, GCP Vertex AI, etc.).
- Experience in LLM fine-tuning or Generative AI, Voice AI, is an added advantage.
Educational Qualification:
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, IT, from IIT/NIT colleges strongly preferred
Job Description:
Experience: 7 -15 Years
Job Description :
Key responsibilities
As an GEN AI Expert [Min 4 + years of relevant exp on NLP, CV and LLMs], you will be responsible for designing, building, and fine-tuning NLP models and large language model (LLM) agents to solve business challenges. You will play a key role in creating intuitive and efficient model designs that enhance user experiences and business processes. The position demands strong design skills, hands-on coding expertise, advanced proficiency in Python development, specialized knowledge in LLM agent design and development, and exceptional debugging capabilities.
- Model & Agent Design: Conceptualize and design robust NLP solutions and LLM agents tailored to specific business needs, with a focus on user experience, interactivity, latency, failover and functionality.
- Hands-on Coding: Write,test, and maintain clean, efficient, and scalable code for NLP models and AI agents, with a strong emphasis on Python programming.
- Build high quality multi-modal & multi-agents applications/frameworks
- Knowledge on input/output token utilization, prioritization and consumption w.r.t AI agents
- Performance Monitoring: Monitor, optimize LLM agents, implementing model explainability, handling model drift, and ensuring robustness.
- Research Implementation:Ability to read, comprehend, and implement AI Agent research papers into practical solutions. Stay abreast of the latest academic and industry research to apply cutting-edge methodologies and techniques.
- Debugging & Issue Resolution: Proactively identify, diagnose, and resolve issues related to AI agents, including model inaccuracies, performance bottlenecks, and system integration problems. Utilize debugging tools and techniques to troubleshoot complex problems in model behavior, data inconsistencies, and deployment errors.
- Innovation and Research:Stay updated with the latest advancements in AI agents technologies,experimenting with new techniques and tools to enhance agent capabilities and performance.
- Continuous Learning: Adaptability to unlearn outdated practices, patterns, technologies and quickly learn and implement new technologies & papers as the ML world evolves. Maintain a proactive approach to staying current with emerging trends and technologies in Agent based solutions (Text & Multi Modal).
- Clear understanding of tool usage and structured outputs in agents
- Clear understanding of speculative decoding and AST-Code RAG
- Clear understanding of Streaming and Sync/Async processing
- Clear understanding of embedding models and their limitations
Tech stack required:
Programming languages: Python
Public Cloud: Azure
Frameworks: Vector Databases such as Milvus, Qdrant/ ChromaDB, or usage of CosmosDB or MongoDB as Vector stores. Knowledge of AI Orchestration, AI evaluation and Observability Tools. Knowledge of Guardrails strategy for LLM. Knowledge on Arize or any other ML/LLM observability tool.
Experience: Experience in building functional platforms using ML, CV, LLM platforms. Experience in evaluating and monitoring AI platforms in production.
We are seeking a talented and passionate Conversational AI Developer to join our team and play a key role in creating innovative and engaging chatbots and virtual assistants. The ideal candidate will have a strong background in software development, with a focus on AI and natural language processing technologies.
Responsibilities:
- Drive the full lifecycle development — from design to deployment — of scalable chatbots and virtual assistants utilizing Microsoft Bot Framework, Kore.ai, or similar CAI technologies
- Collaborate with cross-functional teams (product managers, designers, UX/UI specialists) to gather requirements, design conversational flows, and implement user stories
- Integrate Natural Language Processing (NLP) and Natural Language Understanding (NLU) techniques to enable chatbots to understand user intent and respond accordingly
- Leverage Generative AI services to enhance chatbot responses with creativity and personalization
- Develop chatbots for deployment across multiple channels (web, mobile apps, messaging platforms) ensuring a seamless user experience
- Conduct thorough testing and debugging to ensure high performance and accuracy of conversational AI solutions
- Monitor and analyze user interactions and chatbot performance to identify areas for improvement and optimization
- Stay updated on the latest advancements in Conversational AI technologies and best practices.
- Apply Microsoft Foundry methodologies for rapid prototyping, iterative experimentation, and accelerated delivery of AI-driven chatbot solutions
- Build, refine, and scale enterprise-grade chatbot applications using Foundry-aligned engineering practices, reusable components, and standardized deployment workflows
Preferred Qualifications:
- 3+ years of experience in software development, preferably with a focus on conversational AI or chatbots
- Deep expertise in Azure Bot Framework v4, specifically utilizing Adaptive Dialogs, Waterfall Dialogs, and middleware customization
- Strong backend development skills with advanced proficiency in C#, .NET, JavaScript, CSS, HTML for custom bot logic
- Hands-on experience with Azure Integration Services, using Azure Functions and Logic Apps to orchestrate workflows between the bot and external systems
- Proven experience with Salesforce API integrations (REST/SOAP), specifically for managing Live Agent handoffs, Knowledge base retrieval, and Case creation
- Experience configuring Azure Cosmos DB for storing conversation state, user data, and telemetry logs
- Experience implementing Hybrid AI strategies, bridging classical NLU services (Azure CLU) with Generative AI models (Azure OpenAI/GPT) for fall-back handling or content generation
- Middleware familiarity, with exposure to MuleSoft or similar ESB platforms for enterprise-grade data exchange
- Data-driven optimization skills, utilizing Power BI to analyze conversation logs, identify drop-off points, and drive NLU accuracy improvements
- SDLC leadership experience, including defining CI/CD pipelines for bot deployment across multiple environments (Dev/Test/Prod).
- Hands-on experience working with Microsoft Foundry frameworks, including rapid MVP creation, modular architecture patterns, and AI-driven solution accelerators
- Demonstrated experience building, deploying, and optimizing chatbot applications using Foundry engineering standards and reusable AI components
- Excellent communication, collaboration, and problem-solving skills
- Ability to work independently and manage multiple projects simultaneously
- Passion for innovation and a strong desire to push the boundaries of Conversational AI technology
About Infinity Learn
Infinity Learn, backed by the prestigious Sri Chaitanya Group, is one of India’s fastest-growing EdTech companies. We aim to revolutionize learning through innovative, tech-driven, and result-oriented education solutions for students from Grades 6 to 12+.
Role Overview
We’re hiring Academic Counsellors (Inside Sales) who are passionate about guiding students and parents toward the right learning programs. You’ll play a crucial role in driving revenue growth and helping learners achieve their academic goals.
Key Responsibilities
- Connect with prospective customers via calls, emails, and virtual meetings.
- Understand students’ academic needs and recommend suitable Infinity Learn programs.
- Achieve and exceed monthly sales targets.
- Build and maintain strong relationships with students and parents.
- Handle objections confidently and close sales effectively.
Requirements
- Minimum 1 year of sales experience (EdTech or education background preferred).
- Strong communication and persuasive skills.
- Goal-oriented and self-driven attitude.
- Comfortable working in a fast-paced environment.
- Proficiency in CRM tools will be an added advantage.
Work Schedule
- Days: Tuesday to Sunday (Monday fixed off)
- Timings: 11:00 AM – 9:00 PM
Why Join Us?
- Be part of a dynamic and fast-growing EdTech brand backed by Sri Chaitanya.
- Work with an energetic and motivated sales team.
- Opportunity to make a real impact in transforming education across India.
About the Role
We are seeking an experienced Enterprise UI/UX Designer who can blend design thinking with front-end development skills to deliver intuitive, high-performing digital experiences. In this role, you will transform user insights and design concepts into polished, interactive interfaces while championing user-centered practices supported by qualitative and quantitative research.
Key Responsibilities
· Collaborate closely with product managers and engineering teams to define, refine, and implement innovative user experiences.
· Convert wireframes, mockups, and prototypes into responsive and accessible front-end interfaces.
· Conduct user research, usability testing, and feedback sessions to optimize user flows and design decisions.
· Develop, document, and maintain UI component libraries and organization-wide design systems.
· Ensure fast, scalable, and cross-browser–compatible front-end performance.
· Maintain visual and functional design consistency across platforms and devices.
· Coordinate efficient design-to-development handoff with engineering teams.
· Support broader UX strategy, including information architecture and interaction design.
· Stay updated with emerging UI/UX tools, frameworks, and industry trends.
Required Skills & Competencies
· Strong knowledge of HTML5, CSS3, JavaScript, and at least one modern front-end framework (React, Angular, or Vue).
· Expertise in Figma, with working familiarity in Sketch or Adobe XD for visual design and prototyping.worker3545design, WCAG accessibility guidelines, and cross-browser behavior.
· Experience working with RESTful APIs and Git-based version control workflows.
· Solid grasp of UX research techniques, user testing methods, and tools like UserTesting.
· Excellent communication, analytical thinking, and problem-solving abilities.
Education & Experience
· Bachelor’s degree in Human–Computer Interaction, Design, or a related discipline.
· 8+ years of relevant experience in UI development and UX design.
Python Developer
Location: Hyderabad (Apple Office)
Experience: 8+ years (Retail / E-commerce preferred)
Budget- 1.9 lpm + GST
Contract: 1 Year + Extendable
Job Responsibilities / Requirements:
- 8+ years of proven experience, preferably in retail or e-commerce environments.
- Strong expertise in Python development.
- Excellent communication skills with the ability to collaborate across multiple teams.
- Hands-on experience with Container & Orchestration: Kubernetes, Docker.
- Expertise in Infrastructure Automation via Kubernetes YAML configurations.
- Strong skills in Scripting & Automation: Python, Shell Scripts (Bash).
- Familiarity with CI/CD Pipelines: GitHub Actions, Jenkins.
- Experience with Monitoring & Logging: Splunk, Grafana.
- Immediate Joiners Preferred – Urgent Support Required.
About Kanerika
Who we are:
Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.
Awards and Recognitions:
Kanerika has won several awards over the years, including:
· CMMI Level 3 Appraised in 2024.
· Best Place to Work 2022 & 2023 by Great Place to Work®.
· Top 10 Most Recommended RPA Start-Ups in 2022 by RPA today.
· NASSCOM Emerge 50 Award in 2014.
· Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture.
· Recognized for ISO 27701, 27001, SOC2, and GDPR compliances.
· Featured as Top Data Analytics Services Provider by GoodFirms.
Role overview
We are seeking a Technical Project Manager with a strong development background and deep understanding of Agile and Scrum methodologies. The ideal candidate must have previous experience as a software developer, proficiency in one or more programming languages, and hands-on exposure to software delivery processes. This is a leadership role that requires both technical insight and project management expertise..
What You Will Do:
· Lead and manage cross-functional engineering teams to deliver high-quality software projects.
· Serve as the bridge between technical teams and business stakeholders, translating business requirements into technical solutions.
· Own the software development lifecycle (SDLC), ensuring Agile best practices, are followed.
· Facilitate Agile ceremonies: sprint planning, daily stand-ups, retrospectives, backlog grooming, and demos.
· Identify and mitigate risks, manage dependencies, and resolve conflicts proactively.
· Oversee task breakdowns, sprint tracking, effort estimations, and timelines.
· Collaborate with developers and architects to ensure alignment of technical design with business objectives.
· Monitor engineering progress using JIRA or equivalent Agile tools.
· Ensure integration of DevOps practices, testing strategies, and release management.
Employee Benefits
1. Culture:
a. Open Door Policy: Encourages open communication and accessibility to management.
b. Open Office Floor Plan: Fosters a collaborative and interactive work environment.
c. Flexible Working Hours: Allows employees to have flexibility in their work schedules.
d. Employee Referral Bonus: Rewards employees for referring qualified candidates.
e. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback
2. Inclusivity and Diversity:
a. Hiring practices that promote diversity: Ensures a diverse and inclusive workforce.
b. Mandatory POSH training: Promotes a safe and respectful work environment.
3. Health Insurance and Wellness Benefits:
a. GMC and Term Insurance: Offers medical coverage and financial protection.
b. Health Insurance: Provides coverage for medical expenses.
c. Disability Insurance: Offers financial support in case of disability.
4. Child Care & Parental Leave Benefits:
a. Company-sponsored family events: Creates opportunities for employees and their families to bond.
b. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child.
c. Family Medical Leave: Offers leave for employees to take care of family members' medical needs.
5. Perks and Time-Off Benefits:
a. Company-sponsored outings: Organizes recreational activities for employees.
b. Gratuity: Provides a monetary benefit as a token of appreciation.
c. Provident Fund: Helps employees save for retirement.
d. Generous PTO: Offers more than the industry standard for paid time off.
e. Paid sick days: Allows employees to take paid time off when they are unwell.
Thanks,
Designation: Principal Data Engineer
Experience: Experienced
Position Type: Full Time Position
Location: Hyderabad
Office Timings: 9AM to 6PM
Compensation: As Per Industry standards
About Monarch:
At Monarch, we’re leading the digital transformation of farming. Monarch Tractor augments both muscle and mind with fully loaded hardware, software, and service machinery that will spur future generations of farming technologies. With our farmer-first mentality, we are building a smart tractor that will enhance (not replace) the existing farm ecosystem, alleviate labor availability, and cost issues, and provide an avenue for competitive organic and beyond farming by providing mechanical solutions to replace harmful chemical solutions. Despite all the cutting-edge technology we will incorporate, our tractor will still plow, till, and haul better than any other tractor in its class. We have all the necessary ingredients to develop, build and scale the Monarch Tractor and digitally transform farming around the world.
Description:
Monarch Tractor likes to invite an experience Python data engineer to lead our internal data engineering team in India. This is a unique opportunity to work on computer vision AI data pipelines for electric tractors. You will be dealing with data from a farm environment like videos, images, tractor logs, GPS coordinates and map polygons. You will be responsible for collecting data for research and development. For example, this includes setting up ETL data pipelines to extract data from tractors, loading these data into the cloud and recording AI training results.
This role includes, but not limited to, the following tasks:
● Lead data engineering team
● Own and contribute to more than 50% of the data engineering code base
● Scope out new project requirements
● Costing data pipeline solutions
● Create data engineering tooling
● Design custom data structures for efficient processing of data
Data engineering skills we are looking for:
● Able to work with large amounts of text log data, image data, and video data
● Fluently use AWS cloud solutions like S3, Lambda, and EC2
● Able to work with data from Robot Operating System
Required Experience:
● 3 to 5 years of experience using Python
● 3 to 5 years of experience using PostgreSQL
● 3 to 5 years of experience using AWS EC2, S3, Lambda
● 3 to 5 years of experience using Ubuntu OS or WSL
Good to have experience:
● Ray
● Robot Operating System
What you will get:
At Monarch Tractor, you’ll play a key role on a capable, dedicated, high-performing team of rock stars. Our compensation package includes a competitive salary, excellent health, dental and vision benefits, and company equity commensurate with the role you’ll play in our success.
Knowledge & Experience:
- 4-7 years of Industry experience in IT or consulting organizations
- 3+ years of experience defining and delivering Salesforce.com enterprise applications in lead developer role
- Must have hands on Salesforce Lightning and UI development experience
- Excellent overall understanding of the Salesforce core product suite combined with deep understanding of CRM business processes in sales, marketing & customer service.
- Hands on development knowledge of relevant Salesforce architecture concepts, data & security structures, enterprise integration, as well as configuration and customization options (including Apex, Lightning, Custom UI, JS, Integration, API etc.)
- Web development experience including CSS, JavaScript, HTML5, AJAX, jQuery
- Knowledge of Oracle DB SQL
- Development experience with Integration tools. Informatica Cloud/PowerCenter is a plus
Note:
- Preferred from medical industry
- Onsite available post completion of 18 Months.









