11+ Renewable Energy Jobs in Hyderabad | Renewable Energy Job openings in Hyderabad

Position Title: Sr. Manager/Manager Designs – Power Evacuation

Experience: 14 To 20 Years

Industry Type: Renewable Energy

Key Skills: AutoCAD, ETAP, Power World

Job Objectives:

• Lead the design of efficient power evacuation systems to integrate solar power plants with the national or regional grid.
• Design the layout of transmission lines, substations, step-up transformers, and switchgear for large-scale solar projects.
• Perform load flow studies, short circuit studies, and other electrical analyses to ensure the robustness of evacuation systems.
• Lead the planning, design, and implementation of power evacuation systems, ensuring they are aligned with project timelines, budgets, and specifications.
• Coordinate with external consultants, EPC contractors, and vendors to ensure seamless execution of the power evacuation systems.
• Ensure that all evacuation designs are compliant with local, national, and international standards (such as IEC, IEEE).
• Lead and mentor a team of engineers and technical specialists.
• Work closely with project managers, regulatory bodies, and other stakeholders to ensure project alignment and timely execution.

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

JOB TITLE: Business Development Manager/Healthcare Sales Specialist/Business Manager/Sales Specialist/ Medical Device Sales Specialist

JOB TYPE: Full Time

JOB LOCATION: Hyderabad (Work from office)

QUALIFICATION: Bachelors/ Masters in Engineering, Pharm, Biotech

CTC: 7-10 LPA

Experience: 5-8 years

JOB DESCRIPTION:

• Understand the client requirements and pitch the product to the customer accordingly.

• Rapid assess market and business opportunities.

• Identifying opportunities in target markets for your organization’s products and services.

• Generate leads through proactive prospecting, networking and secure new business opportunities.

• Represent the company effectively with comprehensive knowledge of our offerings.

• Grow long-lasting relationships that address the client’s needs. Drive referrals from the existing clients.

• Drive the projects to convert into the successful business revenues.

• Intensely follow up with prospects through various channels, including email, WhatsApp, SMS, and calls.

• Staying ahead of market trends, competitor strategies, and customer needs and develop winning sales strategies that give us a competitive edge.

• Achieve the targets monthly assigned by the Company.

Skillset:

• Experience in Medical Device is a preferable.

• Strong interpersonal and communication skills (written and verbal) along with organizational skills and the ability to multi-task.

• Able to do domestic and international business travel.

• Should be Passionate and Energetic.

• Eagerness to understand the medical aspects of the product and a great humble attitude.

• Must align with the vision of the Company and its Management to ensure they get aligned to the day-to-day operations of Business.

AuxoAI is hiring a Senior Applied Scientist to design and deploy production-grade AI agents capable of structured reasoning, planning, and decision-making.

This role focuses on building intelligent agent systems that combine LLM-based reasoning with classical planning, search algorithms, and optimization techniques. The ideal candidate will develop robust agent architectures that operate reliably in real-world environments with constraints around latency, cost, uncertainty, and limited context windows.

You will work on advanced AI systems that power autonomous workflows, decision engines, and tool-driven agent ecosystems.

You will work on problems where existing architectures may not be sufficient, and will be expected to experiment with new approaches that combine machine learning, graph algorithms, and classical AI techniques to build reliable, production-grade systems.

Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)

Responsibilities:

• Design and architect modular AI agent frameworks incorporating skill decomposition, tool orchestration, and persistent state tracking.
• Implement planning and search algorithms such as Monte Carlo Tree Search (MCTS), beam search, A search, heuristic search, and graph-based planning approaches* to support complex decision-making tasks.
• Develop decision-making loops that balance trade-offs between exploration vs. exploitation, cost vs. accuracy, and latency vs. reasoning depth.
• Build structured memory systems including episodic memory stores, semantic memory layers, and vector-based memory with optimized retrieval strategies.
• Design tool-calling architectures with strong execution validation, retry mechanisms, and failure recovery strategies.
• Develop evaluation frameworks to measure agent performance using task success metrics, rollout simulations, and multi-sample validation approaches.
• Improve agent performance through techniques such as distillation, synthetic trajectory generation, prompt compression, and context pruning.
• Deliver production-ready agent systems that meet operational requirements around reliability, cost efficiency, throughput, and observability.

Requirements

• 2-5 years of experience building machine learning or AI systems in production environments.
• Strong experience implementing search or planning algorithms beyond basic use cases, including tree search or heuristic-based planning approaches.
• Hands-on experience with Monte Carlo Tree Search (MCTS) or related decision-making frameworks.
• Strong understanding of state-space representations, heuristic design, and decision boundary trade-offs.
• Experience building or extensively customizing agent frameworks for real-world applications.
• Hands-on experience designing tool-use or function-calling architectures under practical system constraints.
• Strong Python engineering skills with a focus on scalable and reliable system design.

Nice to Have:

• Experience with reinforcement learning techniques such as policy gradients, value estimation, or reward modeling.
• Experience building multi-agent or collaborative agent systems.
• Experience designing evaluation frameworks for agent robustness and reliability.
• Experience optimizing LLM inference pipelines for latency, throughput, and cost efficiency.
• Familiarity with distributed task orchestration systems and large-scale AI workflow management.

Roles and Responsibilities:

1. Identifying potential clients and partners, and reaching out to them to understand their requirements and counsel the students to choose Skill Dunia courses.
2.  You will be responsible for managing relationships with existing clients and partners, as well as developing new relationships to help drive business growth.
3. You will be responsible for managing the entire sales process, from lead generation to closing deals. This may include creating sales opportunities, negotiating, managing the onboarding process for new clients and taking referrals to create new business ideas
4. Build sales lead through referrals and cold calling to generate sales (monthly target/revenue-oriented)
5. Collaborate with the Sales and Marketing team to plan and oversee new marketing initiatives

Hi We are Looking foe Data Science AI Professional role for our KPHB, Hyderabad Branch Requirements:

• Min 6 months to 1 Year experience in Data Science AI

• Need to have proven Experience with Good GitHub profile and projects

• Need to good with Data Science & AI Concepts

• Need to be good with Python, ML, Stats, Deep Learning, NLP, OpenCV etc

• Good Communication and presentation skills

Title: Salesforce Developer/ Architect
Location: Hyderabad/Vizag
Experience: 4+ years  
Required Skills:
4+ years of enterprise consulting experience in spanning large organizations and enterprise platforms of Salesforce.
4+ years of experience as a Senior Architect and/or technology leader in a mid-to-large sized organization.
min 1 or 2 projects in Non-Profit Or Architect with Salesforce community implementation with more than 10K users.
Involved in minimum 4 end-to-end implementation  Involved in minimum 1 end-to-end community cloud implementation 
Experience with key areas of enterprise architecture including Cloud, Integration Technologies, Master Data Management.
Hands-on experience with Agile Implementation Frameworks.
Proven ability to analyze, design, and optimize business processes via out-of-the-box product, technology and integration.
Success in guiding customers and colleagues in rationalizing and deploying emerging technologies that drive increased business value.
Excellent communication skills, both written and verbal. Able to effectively develop materials that are appropriate for the audience.
Able to multitask in a fast paced environment and exercise a high degree of initiative in resolving issues and developing process enhancement recommendations.
Excellent team player able to work with virtual and global cross functional teams and lead through influence.
Salesforce Certified Nonprofit Cloud Consultant Lead a team of 5-8 developers 
Prepare Technical Design based on business requirements for SALES,Service Cloud Perform Build and Unit test of Salesforce modules based on technical designs, following best practices, ensuring expected code quality 
Conduct peer review, guide team members  Status reporting of the tasks complete by team as per agreed schedule
Must be proficient with Salesforce Apex, lightning,LWC and batch classes.

Responsibilities

• Developing new features and user interfaces from wireframe models
• Ensuring the best performance and user experience of the application
• Fixing bugs and performance problems
• Writing clean, readable, and testable code
• Cooperating with back-end developers, designers, and the rest of the team to deliver well-architected and high-quality solutions

Qualifications

• Desire to work in a startup environment, able to self-manage and work remotely
• Must have built apps on Android and/or iOS apps with Flutter/ React Native/ Xamarin/ Ionic/cordova etc
• Proven working experience in software development
• Working experience in mobile development
• Have published one or more mobile apps in Google Play or App Store
• Experience with third-party libraries and APIs
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
• Solid understanding of the full mobile development life cycle, including automated testing and building
• Experience working in an agile development process
• Be proficient in using version control and continuous integration, with tools such as Git and Jenkins.
• Write clear, maintainable and testable code

Responsibilities

• Candidate must have demonstrated experience of migrating solutions to the Azure cloud platform
• Assess, analyze  current infrastructure footprint (compute, storage, network) and complete requirement gathering (HW, SW) to move individual applications to Cloud
• Complete high level and low level design for cloud infrastructure, databases and other required components.
• Build and deploy infrastructure in cloud
• Migrate OS, Database and application from on-premise to Cloud
• Apply technical knowledge and customer insights to create application modernization roadmap and architect solutions to meet business and IT needs, ensuring technical viability of new projects and successful deployments, orchestrating key resources and infusing key application development and DevOps technologies (e.g. App Service, containers, serverless, cloud native, Java/node.js, DevOps and OSS tools)
• Connect with Client  team to remove key blockers

Qualifications

• Must have at least 1 Azure certification (Administrator, Developer or Architect)
• Must have 5+ experience in Cloud and Data center migration project as solution architect
• Must have in-depth understanding of compute, storage, network components including backup, monitoring and DR environment requirements
• Experience and understanding of large-scale applications portfolio in enterprise-wide environment (including migration of on-premise workloads to the cloud) required;
• Deep domain expertise of cloud application development solutions (e.g. IaaS, Serverless, API Management), container orchestration (e.g. Kubernetes, Cloud Foundry), continuous integration technologies (e.g. Jenkins, Spinnaker, Azure for DevOps, Chef, Puppet), web application server technologies, cloud application design, software architecture and practices (design/development/deployment, Agile, SCRUM, ALM), breadth of technical experience, and technical aptitude to learn and adjust to new technologies and cloud trends required;
• Experience and understanding of large-scale application development projects (including key coding skills and practices) required;

Responsibilities:

• Candidate will implement automation solutions on Azure using open source tools and technologies (e.g. Ansible, Jenkins, Chef) in any of the following technology tiers/products:
• Unix/Linux
• Microsoft Windows Server
• Oracle Database
• Middleware (IBM WebSphere, JBoss)
• VMware
• Candidate must have demonstrated experience of migrating solutions to the Azure cloud platform
• Candidate will provide expert level of automation solution support.
• Perform as primary Systems Administrator in a large enterprise environment.
• Perform Patch management tasks to include: maintaining current knowledge of available patches, deciding what patches are appropriate for particular systems, ensuring that patches are installed properly, testing systems after installation, and documenting all associated procedures
• Test new releases of products to ensure compatibility and minimize user impact.
• Recommend and implement system enhancements that will improve the performance and reliability of the system including installing, upgrading/patching, monitoring, problem resolution, and configuration management.
• Develop, document, and automate technical processes and procedures as needed.
• Adhere to strict Information Systems security guidelines in all cases. 

Qualifications:

• Must have at least 1 Azure certification (Administrator, Developer or Architect)
• Must have experience with one or more open source tools (Ansible, Chef, Puppet, Yamal, Parker, etc.).
• Hands on experience with change automation and orchestration.
• Proficient in scripting languages (e.g. Perl, Python, Bash, Ruby, etc.)
• Hand on experience with troubleshooting and diagnoses of hardware and software problems.
• Experience installing, configuring, and maintaining computer hardware and software in a large-scale enterprise environment.