Sales Manager

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

Company: Snaptics

Job title: Digital sales trainees or Interns

Job type: Full time

Location: Hyderabad 

Work schedule: 6 days (week end off)

Shift timings: 10:00am-6:30pm

Eligibility: Any degree

Experience : Fresher or Just Passed

Education: MBA or BBA or any business management 

Stipend: Upto 7500/month

Target mandatory : meeting Min of 15 clients per day in field and generating sales leads

Job type: 80% field work

JOB DESCRIPTION:

Responsibilities:

1. Conduct in-depth market research to identify

business opportunities and industry trends. Analyze competitor strategies and market dynamics to contribute to business development initiatives.

2. Build and maintain strong relationships with clients, understanding their needs and ensuring customer satisfaction.

Collaborate with the sales team to develop strategies for expanding client portfolios.

3. Identify potential clients and partners to expand the company's market presence. Assist in the development and execution of business development plans and strategies.

4. Collaborate with the sales team to create compelling proposals and presentations. Support in the negotiation and closure of business deals to achieve revenue targets.

Strong performance marketer profile

Mandatory (Experience 1): Must have 4+ years of experience in performance marketing

Mandatory (Team Lead): Must have atleast 1+ years of experience in a managerial role

Mandatory (Tech Skills): Must have strong hands-on expertise in any of Google Ads, Meta Ads, LinkedIn Ads

Mandatory (Tech Skills): Must have proven experience managing large monthly ad budgets

Mandatory (Tech Skills): Must have an understanding of attribution models, funnels, and CRM-based tracking

Mandatory (Tech Skills): Must be proficient in advanced Excel/Google Sheets

Mandatory(Company): Product companies (Fintech, Startups preferred)

Experience: 0 to 3 Years

Annual CTC: ONR : 1.5 LPA - 3 LPA

**Required Knowledge and Skills:**

- Basic understanding of income tax laws and regulations.

- Familiarity with the filing of income tax returns and audit reports.

- Knowledge of TDS-TCS returns and related compliances.

- Proficiency in using accounting software and tax filing tools.

- Strong attention to detail and organizational skills.

- Excellent communication and interpersonal skills.

- Ability to work independently as well as part of a team.

- Proficiency in MS Office (Word, Excel, Outlook).

**Qualifications:**

- Bachelor’s degree in Accounting, Finance, Commerce, or a related field.

- Prior experience or internships in a similar role will be an advantage.

- Professional certifications (e.g., CA Inter, CPA) will be a plus but not mandatory.

Trader- Oilseeds and Meals - Haryana Gurgaon

Must-Haves :

Top 3 Mandatory Skills: 

1. Worked in Oilseeds and Meal domestic positions, create parity trades in local market

2. Minimum of Four years of working experience in Oil seeds and meals category

3. work experience of Cash and Carry opportunities – NCDEX (Beans and Meals)

4. Good Academics at least MBA with reputed B school

5. Experience in Supply and Demand of Soybeans and Meals in India involving crush capacities, meal exports, stocks details and Govt procurement.

No Poach Clients (Plus other Strict No-Nos) :

NA

Nice to Haves :

Target Companies :

Cofco, Reliance, ADM, LDC, Adani, Bunge

Additional Guidelines :

Interview Process L1 with Hiring manage, L2 with GM ag. and Trading

Business Development Executive:

We are looking for a resilient, empathic Business Development Executive to contribute to the growth of our company. Business development executives are responsible for finding and retaining clients and encouraging extant clients to purchase the Software and Products.

To be successful as a BDE, you should attend networking events to attract and retain clients. Ultimately, an outstanding BDE will keep a close eye on clients' feedback to ensure that our products and services always exceed expectations.

Responsibilities:

●Procuring new clients through direct contact, word-of-mouth, and collaboration with the marketing department.

●Forecast sales, develop “out of the box” sales strategies/models and evaluate their effectiveness

●Meet personal and team sales targets

●Research accounts and generates or follow through sales leads

●Maintain and expand the client database within your assigned territory

●Familiarize yourself with all products and services offered by our company.

●Attending networking activities to research and connect with prospective clients.

●Maintaining meaningful relationships with clients to ensure productive long-lasting relationships.

●Negotiating with clients to secure the most attractive prices.

Requirements:

●Extensive sales experience.

●Intuitive and insightful, particularly regarding human behavior.

●Ability to generate revenue by identifying pain points and suggesting suitable products or services.

●Professional yet affable disposition.

●Neat, well-groomed appearance.

●Experience or Knowledge about working with CRM

●Great networking skills and Resourceful, with outstanding research skills.

Excellent written and verbal communication

1. Scouting for LAP loan leads

2. Collecting documents from customer and submitting it at nearby branch

3. Explaining all Loan related processes and charges to customer

4. Clearly communicating all loan related charges to customers

5. Having Loan case file in proper order

6. Ensuring all communication with customer once documents are received

7. Ensuring all TAT's are followed in moving the loan file forward

8. Providing all necessary customer support