BDM (Gaming (Web3/Gaming Sales)

We’re Hiring: Forward Deploy Engineer – AI Solutions

Location: Hyderabad / NCR

Experience: 5–8 Years

Wits Innovation Lab is looking for a Forward Deploy Engineer – AI Solutions to design, deploy, and scale AI-powered enterprise solutions. The role involves working closely with clients, building AI-driven systems, integrating LLM-based solutions, and delivering scalable implementations across business workflows.

Key Responsibilities:

• Design and deploy AI-driven enterprise solutions

• Build scalable AI systems and multi-agent workflows

• Work on LLMs, RAG, embeddings, vector databases, and AI integrations

• Develop APIs, connectors, and secure data pipelines

• Collaborate with clients to prototype and productionize solutions

• Lead pilot projects and full-scale AI implementations

• Provide technical guidance, troubleshooting, and enablement support

Required Skills:

• Strong experience in Python or Java

• Good understanding of AI/ML concepts, LLMs, RAG, and vector databases

• Experience with AWS, Azure, or GCP

• Hands-on experience with API integrations and enterprise systems

• Knowledge of SDLC, Agile methodologies, and scalable system design

Good to Have:

• Experience with Agentic AI or multi-agent systems

• Docker and Kubernetes exposure

• Data analytics and visualization experience

• Consulting or customer-facing experience

Role Overview

We are seeking an experienced Power BI & Microsoft Fabric Consultant to partner with our BI team for a short-term engagement focused on capability building, governance setup, and platform enablement.

The primary objective of this role is to upskill the team and establish a robust, scalable foundation for Power BI and Microsoft Fabric—covering security, governance, administration, and best practices—so that the team can independently manage and scale the platform post-engagement.

This is a hands-on + coaching role, not just advisory.

Key Responsibilities

1. Power BI & Fabric Enablement

• Conduct structured training sessions and workshops on:
• Power BI (Pro + Fabric-integrated experiences)
• Microsoft Fabric (Lakehouse, Warehouse, Dataflows Gen2, Pipelines, etc.)
• Build foundational understanding of:
• End-to-end analytics workflows in Fabric
• Integration between Power BI and Fabric workloads 
• Data Lake will be Snowflake

2. Governance & Security Framework

• Design and implement Power BI & Fabric governance model, including:
• Workspace strategy (Dev/Test/Prod separation)
• Naming conventions and standards
• Content lifecycle management
• Establish security architecture:
• Role-based access control (RBAC)
• Row-Level Security (RLS) / Object-Level Security (OLS)
• Data access patterns across Fabric and Power BI
• Define data sharing and access control processes

3. Administration & Platform Setup

• Configure and optimize:
• Power BI tenant settings
• Fabric capacity (capacity planning, workload management)
• Monitoring and usage metrics
• Set up:
• Deployment pipelines
• CI/CD best practices (where applicable)
• Audit logs and governance controls

4. Best Practices & Standards

• Define and document:
• Development standards (data modeling, DAX, report design)
• Performance optimization guidelines
• Dataset/reusable semantic model strategy
• Establish certification and promotion workflows for datasets and reports

5. Hands-On Implementation

• Work alongside the team to:
• Build or refactor key dashboards/reports using best practices
• Set up Fabric artifacts (Lakehouse/Warehouse/Pipelines)
• Ensure real use cases are implemented, not just theoretical training

6. Knowledge Transfer & Self-Sufficiency

• Provide:
• Playbooks, SOPs, and governance documentation
• Recorded sessions and training materials
• Mentor team members through:
• Office hours / Q&A sessions
• Code and architecture reviews
• Ensure the team can independently:
• Manage Fabric capacity
• Govern Power BI environment
• Implement secure and scalable solutions

Expected Outcomes (End of Engagement)

• Fully defined and implemented Power BI & Fabric governance framework
• Configured and optimized Fabric capacity + Power BI tenant
• Established security and access control processes
• Documented standards, playbooks, and operating model
• BI team capable of independent development, administration, and governance

Required Skills & Experience

Must-Have

• 5+ years of experience in Power BI development and administration
• Hands-on experience with Microsoft Fabric (end-to-end)
• Strong expertise in:
• Power BI governance and tenant administration
• Fabric capacity management
• Security models (RLS, RBAC, data access controls)
• Experience setting up enterprise BI governance frameworks
• Proven track record of training and mentoring teams

Good-to-Have

• Experience with data platforms (Snowflake, Azure, etc.)
• Knowledge of CI/CD for Power BI (DevOps integration)
• Familiarity with data catalog and lineage tools (e.g., Atlan, Alation)
• Understanding of modern data architecture patterns

Description :

Job Title : React Native Developer

Experience : 3 - 5 years

Location : Bangalore

Company : Tradelab

About the Role :

We are looking for a skilled React Native Developer to join our dynamic team at Tradelab. The ideal candidate will have hands-on experience in building and deploying mobile applications using React Native and a strong understanding of modern JavaScript frameworks.

Key Responsibilities :

- Develop and maintain high-quality mobile applications using React Native.

- Collaborate with designers, product managers, and backend developers to deliver seamless user experiences.

- Write clean, maintainable, and efficient code following best practices.

- Optimize application performance and troubleshoot issues across iOS and Android platforms.

- Integrate APIs and third-party libraries as needed.

- Participate in code reviews and contribute to continuous improvement.

Required Skills & Qualifications :

- 3 - 5 years of professional experience in mobile app development.

- Strong proficiency in React Native, JavaScript (ES6+), and related technologies.

- Experience with Redux, React Navigation, and other state management tools.

- Familiarity with native build tools like Xcode, Android Studio, and Gradle.

- Understanding of RESTful APIs and asynchronous programming.

- Knowledge of mobile UI/UX standards and responsive design principles.

- Experience with version control systems (e.g., Git).

Nice to Have :

- Exposure to TypeScript.

- Experience with CI/CD pipelines for mobile apps.

- Knowledge of testing frameworks like Jest or Detox.

Why Join Us ?

- Work on cutting-edge trading technology solutions.

- Collaborative and innovative work environment.

- Opportunities for professional growth and learning.

👉 Start your AI interview now: https://lnkd.in/dGzErFMQ

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.

Role & Responsibilities

• Translate concepts into user flows, wireframes, mock-ups and prototypes that lead to intuitive user experiences.
• Design UI for Mobile and Web applications with a special focus on Data Visualizations.
• Obsess over the details of the interaction, visual, and motion design.
• Work with product managers to define requirements, not just translate them to design.
• You will ship, measure, and improve your designs based on quantitative and qualitative feedback.
• Collaborate with engineers to ship pixel-perfect designs

Ideal Candidate

• 4yrs Experience in designing Web application and mobile application
• Proficiency in Sketch, Figma, Adobe XD, Illustrator or any Visual design tools.
• Excellent communication skills and the ability to clearly articulate design decisions.

Account Manager (Customer Success) — Account Audits & Customer Advocacy

Location: Remote

Hours: Full-time, EST 9:00am–5:00pm

Reports to: Customer Success Leadership

Role summary

We’re hiring an Account Manager to review and audit customer account usage, create clear health and usage reports, troubleshoot customer issues, and serve as an internal customer advocate. You’ll collaborate closely with customers over Zoom and work cross-functionally with Senior CSMs, Product Owners, and the Dev team to drive fast, high-quality resolutions and improve retention.

What you’ll do

• Audit customer accounts regularly (usage, adoption, configuration, workflow integrity, outcomes)
• Build and deliver account health/usage reports with insights, risks, and recommended next steps
• Troubleshoot issues (process + platform) and drive resolution by coordinating with Product/Dev/Support
• Run customer calls over Zoom to clarify problems, set expectations, and guide solutions
• Proactively identify churn risk signals (low usage, stalled adoption, repeated issues, sentiment) and create action plans
• Act as a customer advocate internally—communicate pain points, themes, and improvement opportunities
• Track follow-ups and outcomes to ensure issues are closed and customers feel supported

What we’re looking for

• 2+ years in Customer Success / Account Management / Technical Support / Implementation (B2B SaaS preferred)
• Strong analytical mindset: comfortable reviewing usage patterns, drawing conclusions, and creating reports
• Confident communicator on Zoom with the ability to explain solutions clearly and calmly
• Skilled at cross-team coordination and escalation with Product/Engineering
• Organized and reliable: you follow through and keep customers informed
• Comfort troubleshooting software workflows (bonus if you’ve worked with CRM, LOS, or fintech tools)

Nice to have

• Experience with churn-risk management, customer health scoring, or renewals
• Familiarity with ticketing systems (HubSpot/Zendesk) and task tools (ClickUp/Jira)
• Basic technical comfort (APIs, logs, browser troubleshooting) even if not a developer

Success looks like

• Faster resolution times and fewer repeat issues
• Improved product adoption and customer sentiment
• Reduced churn risk via proactive interventions and clear action plans

How to apply

Send your resume and a short note describing:

1. A time you diagnosed a customer issue using data/usage signals
2. How you coordinated with Product/Dev to resolve it
3. Your availability to work EST 9–5

Title: Cloud DevOps Engineer 

Role: Individual Contributor (4-8 yrs)  

Requirements: 

• Energetic self-starter, a fast learner, with a desire to work in a startup environment  
• Experience working with Public Clouds like AWS 

• Operating and Monitoring cloud infrastructure on AWS. 
• Primary focus on building, implementing and managing operational support 
• Design, Develop and Troubleshoot Automation scripts (Configuration/Infrastructure as code or others) for Managing Infrastructure. 
• Expert at one of the scripting languages – Python, shell, etc  
• Experience with Nginx/HAProxy, ELK Stack, Ansible, Terraform, Prometheus-Grafana stack, etc 

• Handling load monitoring, capacity planning, and services monitoring. 
• Proven experience With CICD Pipelines and Handling Database Upgrade Related Issues. 
• Good Understanding and experience in working with Containerized environments like Kubernetes and Datastores like Cassandra, Elasticsearch, MongoDB, etc

Product Support Engineer (L1 Support) – Immediate Requirement.

Key skills

• 1-3 years exp in Product Support Role.
• Need to Understand the product and features, to demonstrate the end users.
• Sound knowledge on Java and SQL
• Need to Analyze and Resolve the Product specific queries, MySQL.
• Consistently Deliver the customer requirements.
• Engage with Development team and manage the progress of cases.
• Should be able to cope up with high pressure work environment.
• Work model will be 24X7.

Must require

• Good Communication both verbal and written
• Analytical skills
• Team player
• Preferred male applicants only