11+ GRID Jobs in Mumbai | GRID Job openings in Mumbai

• Power System Studies – Power Flow, Short Circuit, Transient Stability

• Transmission & Distribution System Planning

• Experience with tools like PSS/E, PSCAD, DigSILENT, ETAP, PSLF, CYME, MiPower

• Knowledge of grid stability, protection coordination, load forecasting

• Exposure to Python / Visual Basic scripting is a plus

 Opportunity to work on large-scale global energy projects and collaborate with international teams.

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.

About Mple.AI

Mple.ai is an AI-powered sales training platform for enterprises, designed to deliver scalable, measurable, and impactful training through role-plays and AI-driven evaluations.

Our platform allows enterprises to create custom simulations or use pre-built templates, making training more relevant, effective, and impactful. With mple.ai, companies streamline training, improve communication, and empower teams to sell smarter and faster.

Why This Role Matters

As a Technical Product Manager, you will work closely with the founders to shape and execute our product roadmap. This role is perfect for someone who thrives in fast-paced environments, enjoys building from the ground up, and wants to contribute directly to the growth of a category-defining AI platform.

Key Responsibilities

• Translate product vision and business goals into a clear, well-prioritized product roadmap with defined milestones and success metrics.
• Own the end-to-end product lifecycle — including discovery, requirements gathering, development, launch, and continuous iteration.
• Work closely with engineering, design, AI/ML, and data teams to define technical requirements, user stories, and acceptance criteria.
• Partner with stakeholders across marketing, sales, and customer success to align product delivery with go-to-market and adoption strategies.
• Leverage customer feedback, usage data, and product analytics to prioritize features, optimize user experience, and drive product improvements.
• Track product performance through KPIs and dashboards, identify gaps, and recommend data-backed enhancements.
• Act as the product voice during sprint planning, reviews, and retrospectives, ensuring timely and high-quality delivery

What We’re Looking For

• 1–3 years of experience in Product Management, preferably in SaaS, AI-driven, or technical products.
• Strong technical aptitude with the ability to collaborate deeply with engineering teams and understand system constraints and trade-offs.
• Hands-on product builder with a structured problem-solving mindset and strong user empathy.
• Prior experience in startups or fast-scaling tech environments is highly preferred.
• Comfortable managing multiple priorities and navigating ambiguity in an unstructured environment.
• Excellent communication, documentation, and cross-functional collaboration skills.
• Technical educational background (Engineering, Computer Science, or related field) is required

What You Get

• Direct mentorship and collaboration with founders
• Opportunity to work on cutting-edge AI product
• High ownership and rapid career growth in a zero-bureaucracy environment

Other Details

Location: Mulund, Mumbai

Work Mode: Onsite 

Work Week: 5 days (Monday–Friday)

Job Overview:

We are seeking an experienced AWS Data Engineer to join our growing data team. The ideal candidate will have hands-on experience with AWS Glue, Redshift, PySpark, and other AWS services to build robust, scalable data pipelines. This role is perfect for someone passionate about data engineering, automation, and cloud-native development.

Key Responsibilities:

• Design, build, and maintain scalable and efficient ETL pipelines using AWS Glue, PySpark, and related tools.
• Integrate data from diverse sources and ensure its quality, consistency, and reliability.
• Work with large datasets in structured and semi-structured formats across cloud-based data lakes and warehouses.
• Optimize and maintain data infrastructure, including Amazon Redshift, for high performance.
• Collaborate with data analysts, data scientists, and product teams to understand data requirements and deliver solutions.
• Automate data validation, transformation, and loading processes to support real-time and batch data processing.
• Monitor and troubleshoot data pipeline issues and ensure smooth operations in production environments.

Required Skills:

• 5 to 7 years of hands-on experience in data engineering roles.
• Strong proficiency in Python and PySpark for data transformation and scripting.
• Deep understanding and practical experience with AWS Glue, AWS Redshift, S3, and other AWS data services.
• Solid understanding of SQL and database optimization techniques.
• Experience working with large-scale data pipelines and high-volume data environments.
• Good knowledge of data modeling, warehousing, and performance tuning.

Preferred/Good to Have:

• Experience with workflow orchestration tools like Airflow or Step Functions.
• Familiarity with CI/CD for data pipelines.
• Knowledge of data governance and security best practices on AWS.

● Responsible for ensuring seamless guest experience.

● Take ownership of guest issues and follow problems through to resolution.

● Make decisions that are in the best interest of the company and the guests.

● Meet and maintain Vista standards and metrics such as guest satisfaction, accuracy, and efficiency.

● Provide guidance or assistance during the stay, post-booking to check-out, grievance handling, and provide

timely solutions.

● Ensuring timely collection of feedback post guests' stay.

● Reporting any damage of the property to the property operation team.

● Ensure closing of current guest tickets before next arrival.

● Ensure collection of extra payments during the stay.

● Keep up with the industry’s developments and apply best practices to the areas of improvement.

• Assist in project scoping and interact with users to gather requirements
• Must have skills: Java,Spring,SQL,Web App development
• Produce well-planned, well-structured, high-quality codes that have been independently unit tested
• Design, develop, implement and maintain multi-tier web based applications using Java, J2EE, Struts, MVC, Weblogic, XML, Spring, Hibernate, and Oracle, to support business requirements (angular will be advantage)
• Participate and contribute actively in the complete software development lifecycle, including performance analysis, design, development, and testing
• Ensure well designed, testable, efficient codes by performing unit testing with test cases and through rigorous integration testing of the entire application
• Ensure designs are in compliance with specifications
• Support users by developing design documentation and assistance tools
• Interact regularly with internal and external teams to address technical issues and provide appropriate solutions through debugging, research, and investigation
• Develop configuration tools for internal teams to further automate programming tasks that are repetitive
• Engage in and lead application performance tuning

• Graduate/Post Graduate degree in Computer Science, Engineering or a related subject
• Proven working experience in Java development, application of standard software development principles and designing and developing applications using Java EE platforms
• Experience in developing web applications using at least one popular web frameworks using MVC
• Object oriented analysis and design using common design patterns
• Able to respond to technical queries / requests from team members and customers
• Profound insight of Java and JEE internals (Classloading, Memory Management, Transaction management etc.)
• Excellent knowledge of Relational Databases, SQL and ORM technologies (Oracle, Hibernate)
• Experience in the Spring Framework
• Experience with test-driven development

Expi with Node.js, Express, Feather JS
3rd party API integration knowledge
Database- MySql or NoSql

Kafka Client Integration with Nodejs

Redis integration using Nodejs

We have a couple of levels in the customer service team from simply assisting customers in their pre-sales queries to solving their complaints at the highest escalations. Based on your work-ex and skill set, we offer salary & responsibilities;, some of them are mentioned here for better understanding.