Oracle EBS Technical

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.

Job Summary:

We are seeking a SAS Data Integration Developer to design, develop, and maintain Campaign Management Data Mart (CMDM) solutions, integrate multiple data sources, and ensure data quality for marketing analytics and campaign execution.

Key Responsibilities:

• Data Integration & ETL Development
• Develop data ingestion, transformation, and deduplication pipelines.
• Standardize, cleanse, and validate large-scale customer data.
• Work with GaussDB, SAS ESP, APIs, and SAS DI Studio for data processing.
• Master Data Management (CMDM) Configuration
• Implement unification & deduplication logic for a single customer view.
• Develop and manage data masking & encryption for security compliance.
• API & CI360 Integration
• Integrate CMDM with SAS CI360 for seamless campaign execution.
• Ensure API connectivity and data flow across platforms.
• Testing & Deployment
• Conduct Unit, Integration, and UAT Testing.
• Deploy CMDM solutions to production and provide knowledge transfer.

Key Skills Required:

• SAS Data Integration Studio (SAS DI Studio)
• Design, develop, and maintain Campaign Management  Data Mart  (CMDM)
• Data Management (SAS Base, SQL, Data Cleansing)
• SAS ESP, GaussDB, and API Integration
• Data Governance (RBAC, GDPR, PII Compliance)
• Data Masking & Encryption Techniques

As a IT Sales Executive, you will play a crucial role in expanding our client base, building strategic relationships, and identifying new business opportunities. This role is ideal for someone who is ambitious, results-driven, and eager to grow in the field of sales and business development.

Key Responsibilities:

✅ Lead and manage the sales process to attract new clients.

✅ Collaborate with senior team members to identify and mitigate risks.

✅ Build and maintain strong client relationships to ensure satisfaction and retention.

✅ Conduct thorough market research to identify potential business opportunities.

✅ Prepare and deliver impactful sales pitches to prospective clients.

✅ Foster a collaborative and growth-oriented environment within the organization.

Key Skills Required:

✔ Target-driven mindset – Ability to achieve and exceed sales goals.

✔ Time management & organizational skills – Effectively prioritize tasks and meet deadlines.

✔ Strong communication & presentation skills – Ability to confidently present ideas.

✔ Enthusiastic, ambitious & confident approach – A go-getter attitude towards sales.

✔ Adaptability & problem-solving – Ability to handle challenges proactively.

✔ Professionalism & flexibility – Strong interpersonal and negotiation skills.

Calculating taxes and submitting tax returns to comply with the law

Auditing financial documents to ensure they are accurate and maintaining the confidentiality of the financial data

knowledge of GST

• using data modelling techniques to identify ways in which an organisation can operate more effectively.
• communicate with senior people in organisations to find out what they hope to achieve
• formulate ways for businesses to improve, based on previous research
• persuade internal and external stakeholders of the benefits of new technology or strategies
• oversee the implementation of new technology and systems

Roles and Responsibilities: -

• Manage the recruitment and selection process.
• Develop and implement HR strategies and initiatives aligned with the overall business strategy.
• Bridge management and employee relations by addressing demands, grievances, or other issues.
• Support current and future business needs through the development, engagement, motivation, and preservation of human capital.
• Develop and monitor overall HR strategies, systems, tactics, and procedures across the organization.
• Nurture a positive working environment.
• Oversee and manage a performance appraisal system that drives high performance.
• Maintain pay plan and benefits program.
• Assess training needs to apply and monitor training programs.
• Ensure legal compliance throughout human resource management.

         - Tie up with corporates via Email, callings etc. for placements 

Desired Candidate Profile: -

• Proven working experience as  HR Executive.
• People oriented and results driven.
• Demonstrable experience with Human Resources metrics
• Knowledge of HR systems and databases
• Ability to architect strategy along with leadership skills
• Excellent active listening, negotiation, and presentation skills
• Competence to build and effectively manage interpersonal relationships at all levels of the company.
• In-depth knowledge of labor law and HR best practices
• Degree in Human Resources or related field

          Performance based appraisal.

Skills and Qualifications

• Diploma /Bachelor’s degree / Masters in human resources
• 1+ years in human resources or recruitment
• Exceptional communication skills, writing skills, interpersonal skills, and ethical mindset.
• Adept to problem-solving and conflict resolution
• Extensive knowledge of HR policies and systems
• Familiarity with HR software and working knowledge of MS Office.

           Self Motivated, Time Management and sincere