Digital Marketing Executive

Sales Manager

Location- Thane

Experience- 5 years minimum

Team Management - 2-3 years minimum

NP- Immediate to 30 days.

Must have- Should be enthusiastic and very comfortable for

traveling, 

Preferred : heavy mechanical / Machinery or relevant industry is a must.

Qualification: Any Graduate / Postgraduate

Industry: Waste Management / Environmental Services / Relevant Industry

Designation: Assistant Manager/ Manager/ SSM based on experience and skills set

Job Description:

As a Sales Manager, you will play a key role in driving the company’s sales and revenue growth within the waste management or related industry. Your primary responsibility will be to generate new business opportunities, maintain client relationships, and contribute to

expanding the company’s market presence. You will work closely with clients to understand their requirements and offer suitable waste management solutions.

Responsibilities:

1. Identify and develop new business opportunities through market research, site visits, tenders, and networking.

2. Achieve and exceed assigned sales targets by promoting waste management services and solutions.

3. Build and maintain strong relationships with clients, ensuring high levels of customer satisfaction and retention.

4. Conduct market mapping to identify potential clients, key sectors, and growth opportunities.

5. Prepare and deliver presentations, proposals, and quotations to prospective clients.

6. Coordinate with internal teams to ensure smooth service delivery and client onboarding.

7. Track competitor activities and market trends to adapt sales strategies accordingly.

8. Maintain accurate records of leads, opportunities, and sales activities in CRM or reporting systems.

9. Follow up on leads consistently and close deals effectively.

Skills and Knowledge Required:

1. Strong understanding of sales processes and techniques, in B2B and B2C sales.

2. Experience or exposure to waste management, environmental services, or related

industries is preferred.

3. Excellent communication and interpersonal skills to build client relationships.

4. Ability to negotiate and close deals effectively.

5. Strong problem-solving and analytical thinking abilities.

6. Self-motivated and target-oriented with a proven track record of achieving sales goals.

7. Good organizational and time management skills.

8. Ability to work independently as well as in a team environment.

9. Adaptability to dynamic market conditions and client requirements.

10. Able to achieve monthly and quarterly targets

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 reasoning and decision systems using planning algorithms, search methods, and optimization techniques, rather than chatbot or RAG-style application development. The ideal candidate will design intelligent agent architectures that combine LLM-based reasoning with classical planning, search algorithms, and optimization techniques, operating 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 also 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

• 3-10 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.
• 
  

Candidates whose primary experience is limited to RAG pipelines, prompt engineering, or chatbot frameworks without deeper algorithmic or systems work may not be a fit for this role.

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.

Job Title: Project Manager – Wall Panel Installation

Location: Delhi / Bangalore / Mumbai

Experience: 5+ Years

Salary: Up to ₹12 LPA (based on experience & suitability)

Industry: Building Materials / Interior Fit-Out / Construction

Job Summary:

We are looking for an experienced and dedicated Project Manager to oversee Wall Panel Installation Projects across multiple sites. The ideal candidate will have a proven track record in managing interior installation projects, coordinating with clients, vendors, and internal teams, and ensuring timely project delivery with quality standards.

Key Responsibilities:

• Plan, execute, and monitor wall panel installation projects at assigned sites.
• Handle client coordination, site surveys, installation scheduling, and project handover.
• Manage installation teams and vendors to ensure timely execution.
• Ensure materials, tools, and manpower are available and utilized efficiently.
• Maintain strict adherence to quality standards and safety norms.
• Prepare and present regular reports on project progress, issues, and resolutions.
• Monitor project budgets and ensure minimal cost overruns.
• Address any on-site technical or logistical challenges proactively.

Requirements:

• Bachelor’s degree in Civil Engineering / Interior Design / Construction Management or related field.
• Minimum 5 years of experience in managing wall panel or interior installation projects.
• Excellent knowledge of site execution, project planning, and team coordination.
• Strong leadership and communication skills.
• Ability to manage multiple projects across different cities.
• Proficient in MS Project/Excel/AutoCAD is an added advantage.
• Willingness to travel or relocate as per project needs.

mail updated resume with current salary-

Email: etalenthire[st]gmail[dot]com

satish: 88O 27 49 743

We are looking "SAP SF EC" for Reputed Client @ Permanent Role.

• 3-6 years of Experience with SAP SF EC is must 1 End to End implementation Project experience is must 

• Knowledge in Activate Project Management Methodology 

• Knowledge on ITIL Process 

• Should have experience in Requirement Gathering and completing EC Workbooks 

• Should have experience in Configuration and customisation activities 

• Should have experience in Cut-over activities 

• Should manage customer expectations Person should be proactive 

• Should have drive to complete project deliverables and milestones.