District Sales Manager

Position: Enterprise Account Manager

Location: Andheri (E), Mumbai

CTC Offered: 16LPA to 25LPA (80% fixed & 20% Variable)

JD 

• Proven independent performer with strong Mumbai market knowledge, connects in OEM ecosystem.
• Managing internal and external stakeholder relations and negotiating contracts.
• Will need to drive CXO level engagement and conversations.
• Achieving business goals and revenue targets.
• Seeking new business opportunities in their region and securing contracts for the company.
• Securing long-term relationships by maintaining practical client relations.
• Preparing and presenting regional reports for senior management.

Required Qualification-

• Experience - 6 to 10 Years (In infrastructure and or Cybersecurity domain)
• Mumbai Market connects 
• Ability to measure and analyse key performance indicators (ROI and KPIs).
• Familiarity with CRM software.
• Excellent communication skills.
• Strong organizational skills with a problem-solving attitude.
• Availability to travel as needed

Job Title: Sr. Design Engineer (Pharma Industry)

Location: Ghatkopar

Department: Design

Experience: 4-5+yrs in pharmaceuticals

Qualifications:

 Diploma / Bachelor's Degree in Mechanical field

Key Skills & Responsibility:

 Should have advance knowledge in 3D Auto-Cad & Solid work.

 Experience in preparing pipeline drawings particularly in solid work

 Prepare bill of material with the help of solid work.

 Should have the knowledge of 3D Auto-Cad & Solid Work in the field of fabrication of

vessels would be preferred.

 Preparing assembly drawings, subassembly drawings, component drawings preparing pipeline

drawings.

 Designing, drafting and detail engineering of equipment such as Pressure vessels, Columns,

Heat Exchangers.

 Storage Tanks as per ASME / API / TEMA & PED Preparation of mechanical data sheets.

 Ensuring that Designing of equipment is in a cost effective and efficient manner.

 Checking and reviewing BOM, fabrication drawing.

 Engineering Coordination with other divisions/ client.

 Preparing bill of material or checking of the plant of given projects.

 Develop detailed design drawings and specifications for mechanical equipment, dies/tools, and

controls, using computer-assisted drafting in solid works.

 Preparing plant in solid work and prepare Bill of marital from the solid work

 Review and analyse specifications, sketches, drawings, ideas, and related data to assess factors

affecting component designs and the procedures and instructions to be followed.

 Modify and revise designs to correct operating deficiencies or to reduce production problems

Role overview:

We are hiring one Senior Backend Engineer to take end-to-end ownership of our serverless backend — a hands-on IC role for someone both technically excellent and comfortable being one of the few people the entire backend depends on. You'll own the services across several Node.js and Python repositories, work directly with the founders and product team, and set the technical bar for reliability, security, and performance.

Key responsibilities

• Design, build, and operate AWS Lambda services across our HCM/workforce, project-management, commercial/revenue, permissions, and document domains — each comprising dozens of functions.
• Own the multi-tenant PostgreSQL data layer — schema design, query performance, and the permission/relationship model — end to end.
• Maintain and evolve the request path — API Gateway → custom Lambda authorizer → VPC-bound Lambda → private databases — including the runtime IAM/credential model that scopes every request.
• Safeguard tenant isolation and security across a per-company Cognito authentication model.
• Build and maintain integrations with external construction data environments (Asite, Autodesk Construction Cloud), including large-scale document synchronization.
• Optimize performance and reliability to keep latency-sensitive endpoints well within platform limits under growing load.
• Raise the engineering bar — testing, observability, CI/CD, and modernization of legacy components.
• Debug and resolve production incidents to root cause, and put safeguards in place so they don't recur.
• Document decisions and designs and collaborate with the frontend (Angular) and product teams.

Challenges you'll solve.

We prefer to be candid — these are the problems that make this role genuinely interesting:

Latency under a hard ceiling

API Gateway terminates any request beyond ~29 seconds regardless of the Lambda's own timeout — yet much of our value comes from heavy cross-project reporting. You'll keep p95 latency within budget through set-based SQL, pagination, streaming, and asynchronous processing.

Least-privilege, per-request security

A shared custom authorizer mints short-lived, request-scoped credentials via sts:AssumeRole under a strict 2,048-character inline session-policy limit. You'll design permission models that stay within that budget and reason about IAM precisely.

Graph-shaped data, relational store

The permission and relationship model is inherently graph-like, but lives in PostgreSQL — you'll model it with recursive queries, careful indexing, and set-based traversal rather than reaching for a separate graph engine.

Watertight multi-tenancy

One Cognito pool per company and tenant-scoped access throughout — isolation is a first-order concern.

VPC-bound serverless

Lambdas run inside a VPC to reach private databases; you'll manage cold starts, connection lifecycles, and pool limits.

Resilient external integrations

Syncing large document sets from third-party APIs (including SOAP/XML) demands backpressure, deduplication, retries, and graceful partial-failure handling.

Compute-heavy workloads

Server-side PDF generation, image processing, and multi-currency handling within Lambda's memory and time constraints.

The stack.

Runtime — Node.js, Python, AWS Lambda

AWS services — -1 API Gateway, Lambda, Cognito, STS / IAM, Secrets Manager, S3 CloudWatch, VPC, EC2

Infrastructure & CI/CD- AWS SAM, CodePipeline → CodeBuild Shared Data —PostgreSQL

Qualifications.

• 5+ years building and operating production backend systems.
• Deep expertise in Node.js and JavaScript — the asynchronous model, event loop, and memory behavior — plus solid working proficiency in Python and its production behavior.
• Strong hands-on AWS experience, ideally serverless (Lambda, API Gateway, IAM/STS, VPC, Secrets Manager, CloudWatch) — able to reason about IAM policies, not just apply them.
• Advanced SQL and relational data modeling — set-based query design and a working understanding of why N+1 patterns cause production issues.
• Proven production-debugging ability — root-cause analysis in distributed systems from logs and first principles.
• Strong ownership, sound judgment, and clear written communication — able to make good decisions with incomplete information and explain trade-offs to non-engineers.

Interview Process:

Introductory call-Mutual fit and role overview.

Technical deep-dive- A walkthrough of a challenging production problem you have owned.

Practical exercise -A realistic backend task, or a walkthrough of your own representative code.

System design- Collaborative design on a real scenario.

Final conversation- Values, ownership, compensation, and offer.

Job Description:

Experience: 7 -15 Years

Job Description :

Key responsibilities

As an GEN AI Expert [Min 4 + years of relevant exp on NLP, CV and LLMs], you will be responsible for designing, building, and fine-tuning NLP models and large language model (LLM) agents to solve business challenges. You will play a key role in creating intuitive and efficient model designs that enhance user experiences and business processes. The position demands strong design skills, hands-on coding expertise, advanced proficiency in Python development, specialized knowledge in LLM agent design and development, and exceptional debugging capabilities.

• Model & Agent Design: Conceptualize and design robust NLP solutions and LLM agents tailored to specific business needs, with a focus on user experience, interactivity,   latency, failover and functionality.
• Hands-on Coding: Write,test, and maintain clean, efficient, and scalable code for NLP models and AI agents, with a strong emphasis on Python programming.
• Build high quality multi-modal & multi-agents applications/frameworks
• Knowledge on input/output token utilization, prioritization and consumption w.r.t AI agents
• Performance Monitoring: Monitor, optimize LLM agents, implementing model explainability, handling model drift, and ensuring robustness.
• Research Implementation:Ability to read, comprehend, and implement AI Agent research papers into practical solutions. Stay abreast of the latest academic and industry   research to apply cutting-edge methodologies and techniques.
• Debugging & Issue Resolution: Proactively identify, diagnose, and resolve issues related to AI agents, including model inaccuracies, performance bottlenecks, and   system integration problems. Utilize debugging tools and techniques to troubleshoot complex problems in model behavior, data inconsistencies, and deployment errors.
• Innovation and Research:Stay updated with the latest advancements in AI agents technologies,experimenting with new techniques and tools to enhance agent capabilities and performance.
• Continuous Learning: Adaptability to unlearn outdated practices, patterns, technologies and quickly learn and implement new technologies & papers as the ML world evolves. Maintain a proactive approach to staying current with emerging trends and technologies in Agent based solutions (Text & Multi Modal).
• Clear understanding of tool usage and structured outputs in agents
• Clear understanding of speculative decoding and AST-Code RAG
• Clear understanding of Streaming and Sync/Async processing
• Clear understanding of embedding models and their limitations

Tech stack required:

Programming languages: Python

Public Cloud: Azure

Frameworks: Vector Databases such as Milvus, Qdrant/ ChromaDB, or usage of CosmosDB or MongoDB as Vector stores. Knowledge of AI Orchestration, AI evaluation and Observability Tools. Knowledge of Guardrails strategy for LLM. Knowledge on Arize or any other ML/LLM observability tool.

Experience: Experience in building functional platforms using ML, CV, LLM platforms. Experience in evaluating and monitoring AI platforms in production.

A Concise Glimpse into the Role

We’re on the hunt for young, energetic, and hustling talent ready to bring fresh ideas and unstoppable drive to the table.

This isn’t just another role—it’s a launchpad for change-makers. If you’re driven to disrupt, innovate, and challenge the norm, we want you to make your mark with us.

Are you ready to redefine the future?

Apply now and step into a career where your ideas power the impossible!

Your Time Will Be Invested In

·      AI/ML Model Innovation and Research

·      Are you ready to lead transformative projects at the cutting edge of AI and machine learning? We're looking for a visionary mind with a passion for building ground breaking solutions that redefine the possible.

 What You'll Own

Pioneering AI/ML Model Innovation

·      Take ownership of designing, developing, and deploying sophisticated AI and ML models that push boundaries.

·      Spearhead the creation of generative AI applications that revolutionize real-world experiences.

·      Drive end-to-end implementation of AI-driven products with a focus on measurable impact.

Data Engineering and Advanced Development

·      Architect robust pipelines for data collection, pre-processing, and analysis, ensuring precision at every stage.

·      Deliver clean, scalable, and high-performance Python code that empowers our AI systems to excel.

Trailblazing Research and Strategic Collaboration

·      Dive into the latest research to stay ahead of AI/ML trends, identifying opportunities to integrate state-of-the-art techniques.

·      Foster innovation by brainstorming with a dynamic team to conceptualize novel AI solutions.

·      Elevate the team's expertise by preparing insightful technical documentation and presenting actionable findings.

What We Want You to Have

·      1-2 years' experience with live AI project experience, from conceptualization to real-world deployment.

·      Foundational knowledge in AI, ML, and generative AI applications.

·      Proficient in Python and familiar with libraries like TensorFlow, PyTorch, Scikit-learn.

·      Experience working with structured & unstructured data, as well as predictive analytics.

·      Basic understanding of Deep Learning Techniques.

·      Knowledge of AutoGen for building scalable multi-agent AI systems & familiarity with LangChain or similar frameworks for building AI Agents. 

·      Knowledge of using AI tools like VS Copilot.

·      Proficient in working with vector databases for managing and retrieving data.

·      Understanding of AI/ML deployment tools such as Docker, Kubernetes.

·      Understanding JavaScript, TypeScript with React and Tailwind.

·      Proficiency in Prompt Engineering for various use cases, including content generation and data extraction.

·      Ability to work independently and as part of a collaborative team.

·      Excellent communication skills and a strong willingness to learn.

Nice to Have

·      Prior project or coursework experience in AI/ML.

·      Background in Big Data technologies (Spark, Hadoop, Databricks).

·      Experience with containerization and deployment tools.

·      Proficiency in SQL & NoSQL databases.

·      Familiarity with Data Visualization tools (e.g., Matplotlib, Seaborn).

Soft Skills

·      Strong problem-solving and analytical capabilities.

·      Excellent teamwork and interpersonal communication.

·      Ability to thrive in a fast-paced and innovation-driven environment.

Igeeks is India's no.1 internship platform with 12000+ internships in Engineering, MBA, Commerce & Management, and other streams. Igeeks is offering industrial internships for B.E /Engineering Students based on Embedded Systems / IOT / Machine Learning in Python / Java / Big Data. Electronics and Communication / Computer Science Engineering / Information Science Engineering / Mechanical Engineering / Electrical and Electronics / Telecommunication Engineering Students can Apply For it. Duration of the internship will be 1 Month / 4 weeks. Limited Seats will be offered.

New Internship batch starts from 8th January 2024

Benefits of Internship :

- Work on projects.

- Exposure to work on current technologies

- Company certification

- Hands on experience

For more information refer official website here: www.igeekstechnologies.com

● Pan India internal recruitment.

● Responsible for all interview processes.

● Manage recruitment cycle.

● Conduct all interviews virtual/Face-to-face and coordinate with the sales & operations team.

● Source candidates using a variety of search methods to build a robust candidate pipeline

● Screen candidates by reviewing resumes and job applications, and performing phone screenings.

● Manage onboarding and new hire process.

● Stay abreast of recruiting trends and best practices.

● Manage the overall interview, selection, and closing process to ensure all screening, hiring, and selection are done according to employment laws and regulations

● Coordinating with the Hiring Manager. 

DigiXHub is one of the Best Blockchain Application Development Company in Bangalore that provides solutions such as Blockchain Development(Public, private, Consortium Blockchain), Cryptocurrency Exchanges, ICO & ICO Marketing Services, Cryptocurrency Wallet Development, Smart contract Development etc.

Experience : 1 to 4 years

Location : Bangalore

Immediate joiner  
Job Description
We are looking for a great JavaScript\ developer who is proficient with React.js. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important.
Responsibilities

• Developing new user-facing features using React.js

• Building reusable components and front-end libraries for future use

• Translating designs and wireframes into high quality code

• Optimizing components for maximum performance across a vast array of web-capable devices and browsers

Skills:

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model

• Thorough understanding of React.js and its core principles

• Experience with popular React.js workflows (such as Flux or Redux)

• Experience with data structure libraries (e.g., Immutable.js)

• Knowledge of isomorphic React is a plus

• Familiarity with RESTful APIs

• Knowledge of modern authorization mechanisms, such as JSON Web Token

• Familiarity with modern front-end build pipelines and tools

• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.

• Ability to understand business requirements and translate them into technical requirements

• A knack for benchmarking and optimization

• Familiarity with code versioning tools (such as Git, SVN, and Mercurial

• Positive personality
• Excellent communication skills
• Fluency in English