Content Associate

Job Title: AI/ML Consultant

Company Name- WINIT

Location: Hyderabad

Duration- 3 months

Role Overview:

We are looking for a passionate and skilled AI/ML Consultant to join our dynamic team. In this role, you will play a key part in designing and implementing intelligent systems, including the development of a cutting-edge Sales Supervisor Agent. You will work on projects involving Generative AI, Voice AI, sales performance analysis, and recommendation systems that drive automation and strategic decision-making in sales operations. As a consultant, you will collaborate with cross-functional teams to understand business challenges, recommend AI-driven solutions, and deliver scalable, production-ready applications.

Project Knowledge: Generative AI & Voice AI

Experiment with Generative AI models (e.g., GPT, Claude) for tasks such as content creation, email generation, and chat-based assistance.

Build and integrate AI Voice solutions like speech-to-text, call summarization, and conversational agents using tools such as Whisper, ElevenLabs, or Dialogflow.

Integrate GenAI and Voice AI capabilities into the Sales Supervisor Agent for automation and decision support.

Job Summary

We are seeking a motivated Data Engineer with strong skills in SQL, Python, and Linux to design, build, and maintain scalable data pipelines and support data-driven decision-making. The ideal candidate should have experience working with large datasets, ETL processes, and relational databases while ensuring data quality and performance.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Write optimized SQL queries, stored procedures, and database objects.
• Develop Python scripts for data extraction, transformation, and automation.
• Work in Linux environments to manage scripts, cron jobs, and system processes.
• Monitor and troubleshoot data pipeline failures.
• Ensure data integrity, consistency, and quality across systems.
• Collaborate with data analysts, software engineers, and business stakeholders.
• Optimize database performance and query execution.
• Participate in code reviews and follow best engineering practices.

Required Skills

• Strong proficiency in SQL (joins, subqueries, window functions, CTEs, indexing, query optimization).
• Good programming experience in Python.
• Hands-on experience with Linux commands and shell scripting.
• Understanding of ETL/ELT concepts and data warehousing.
• Knowledge of relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server.
• Familiarity with Git for version control.
• Strong problem-solving and analytical skills.

Role : NTRX Professional Service Engineer -Any Voice Recording platform experience is a must.

5 - 7 Years

Locations

Pune, Maharashtra, India ( 1st round Virtual and then F-2-F is mandatory )

Skill Set

Networking,SQL,Cloud Support, IVR or Avaya, or NICE NTRX any VOICE RECORDING PLATFORM EXPEIRENCE IS A MUST.

Skill to Evaluate

Networking,PLSQL,SQL,Cloud Support

**Job Description:**

We are seeking a talented and motivated NTRX Professional Service Engineer to join our dynamic team. This role entails working closely with clients to implement and support our advanced networking solutions. As a key member of our professional services team, you will leverage your expertise in networking, SQL, and cloud support to deliver high-quality services that exceed client expectations.

**Key Responsibilities:**

- **Client Engagement:** Collaborate with clients to understand their business needs and technical requirements. Provide expert guidance and support throughout the project lifecycle.

- **Network Management:** Design, implement, and maintain NTRX network solutions, ensuring optimal performance and reliability. Troubleshoot and resolve network issues in a timely manner.

- **Database Support:** Utilize SQL to manage, query, and analyze data as needed, ensuring that clients’ databases are functioning efficiently and effectively.

- **Cloud Support:** Assist clients with cloud deployment and support services, helping them to migrate their systems to the cloud and optimize their cloud infrastructure.

- **SQL Proficiency:** Ability to write, read, and optimize SQL queries, with a robust understanding of relational databases.

- **Cloud Support Skills:** Familiarity with cloud vendor platforms (AWS, Azure, Google Cloud, etc.) and experience in providing cloud-based solutions and support.

**Qualifications:**

- Bachelor’s degree in Computer Science, Information Technology, or a related field.

- 3+ years of experience in networking or IT support, with a focus on professional services or client-facing roles preferred.

- Relevant certifications (such as CCNA, AWS Certified Solutions Architect, etc.) are a plus.

🤖 Data Scientist – Frontier AI for Data Platforms & Distributed Systems (4–8 Years)

Experience: 4–8 Years

Location: Bengaluru (On-site / Hybrid)

Company: Publicly Listed, Global Product Platform

🧠 About the Mission

We are building a Top 1% AI-Native Engineering & Data Organization — from first principles.

This is not incremental improvement.

This is a full-stack transformation of a large-scale enterprise into an AI-native data platform company.

We are re-architecting:

• Legacy systems → AI-native architectures
• Static pipelines → autonomous, self-healing systems
• Data platforms → intelligent, learning systems
• Software workflows → agentic execution layers

This is the kind of shift you would expect from companies like Google or Microsoft —

Except here, you will build it from day zero and scale it globally.

🧠 The Opportunity: This role sits at the intersection of three high-impact domains:

1. Frontier AI Systems: Large Language Models (LLMs), Small Language Models (SLMs), and Agentic AI

2. Data Platforms: Warehouses, Lakehouses, Streaming Systems, Query Engines

3. Distributed Systems: High-throughput, low-latency, multi-region infrastructure

We are building systems where:

• Data platforms optimize themselves using ML/LLMs
• Pipelines are autonomous, self-healing, and adaptive
• Queries are generated, optimized, and executed intelligently
• Infrastructure learns from usage and evolves continuously

This is: AI as the control plane for data infrastructure

🧩 What You’ll Work On

You will design and build AI-native systems deeply embedded inside data infrastructure.

1. AI-Native Data Platforms

• Build LLM-powered interfaces:
• Natural language → SQL / pipelines / transformations
• Design semantic data layers:
• Embeddings, vector search, knowledge graphs
• Develop AI copilots:
• For data engineers, analysts, and platform users

2. Autonomous Data Pipelines

• Build self-healing ETL/ELT systems using AI agents
• Create pipelines that:
• Detect anomalies in real time
• Automatically debug failures
• Dynamically optimize transformations

3. Intelligent Query & Compute Optimization

• Apply ML/LLMs to:
• Query planning and execution
• Cost-based optimization using learned models
• Workload prediction and scheduling
• Build systems that:
• Learn from query patterns
• Continuously improve performance and cost efficiency

4. Distributed Data + AI Infrastructure

• Architect systems operating at:
• Billions of events per day
• Petabyte-scale data
• Work with:
• Distributed compute engines (Spark / Flink / Ray class systems)
• Streaming systems (Kafka-class infra)
• Vector databases and hybrid retrieval systems

5. Learning Systems & Feedback Loops

• Build closed-loop AI systems:
• Execution → feedback → model updates
• Develop:
• Continual learning pipelines
• Online learning systems for infra optimization
• Experimentation frameworks (A/B, bandits, eval pipelines)

6. LLM & Agentic Systems (Infra-Aware)

• Build agents that understand data systems
• Enable:
• Autonomous pipeline debugging
• Root cause analysis for infra failures
• Intelligent orchestration of data workflows

🧠 What We’re Looking For

Core Foundations

• Strong grounding in:
• Machine Learning, Deep Learning, NLP
• Statistics, optimization, probabilistic systems
• Distributed systems fundamentals
• Deep understanding of:
• Transformer architectures
• Modern LLM ecosystems

Hands-On Expertise

• Experience building:
• LLM / GenAI systems (RAG, fine-tuning, embeddings)
• Data platforms (warehouse, lake, lakehouse architectures)
• Distributed pipelines and compute systems
• Strong programming skills:
• Python (ML/AI stack)
• SQL (deep understanding — query planning, optimization mindset)

Systems Thinking (Critical)

You think in systems, not components.

• Built or worked on:
• Large-scale data pipelines
• High-throughput distributed systems
• Low-latency, high-concurrency architectures
• Understand:
• Query optimization and execution
• Data partitioning, indexing, caching
• Trade-offs in distributed systems

🔥 What Sets You Apart (Top 1%)

• Built AI-powered data platforms or infra systems in production
• Designed or contributed to:
• Query engines / optimizers
• Data observability / lineage systems
• AI-driven infra or AIOps platforms
• Experience with:
• Multi-modal AI (logs, metrics, traces, text)
• Agentic AI systems
• Autonomous infrastructure
• Worked on systems at scale comparable to:
• Google (BigQuery-like systems)
• Meta (real-time analytics infra)
• Snowflake / Databricks (lakehouse architectures)

🧬 Ideal Background (Not Mandatory)

We often see strong candidates from:

• Data infrastructure or platform engineering teams
• AI-first startups or research-driven environments
• High-scale product companies

Experience building:

• Internal platforms used by 1000s of engineers
• Systems serving millions of users / high throughput workloads
• Multi-region, distributed cloud systems

🧠 The Kind of Problems You’ll Solve

• Can LLMs replace traditional query optimizers?
• How do we build self-healing data pipelines at scale?
• Can data systems learn from every query and improve automatically?
• How do we embed reasoning and planning into infrastructure layers?
• What does a fully autonomous data platform look like?

Background: We Commonly See (But Not Limited To)

Our team often includes engineers from top-tier institutions and strong research or product backgrounds, including:

• Leading engineering schools in India and globally
• Engineers with experience in top product companies, AI startups, or research-driven environments
• That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.

HR Admin executive 

Location: Vikhroli west, Mumbai

CTC upto : 3 LPA

Working days: Monday to Saturday (All Saturdays are working)

Experience: 2 to 4 years, fresher can apply

Responsibilities

• Source, qualify and match candidates to defined profiles and specific open requisitions.
• Develop a thorough understanding of the profiles for which you are searching by forming and maintaining a relationship with the hiring manager and internal stakeholders and coordinating with them daily. 
• Prepare and process all necessary employment documentation (e.g., offer letters, appointment letters, and relieving letters).
• Provide general administrative support to senior management and other departments. 
• Work with a database for sourcing and tracking candidates
• Create a talent pool for prospects
• Maintaining Trackers and coordinating with the hiring managers
• Responsible for end-to-end Recruitment Cycle.
• Support to other department 
• Client visit to resolve their queries
• Admin related work

Requirements

• Any Graduate/Post Graduate
• Should have excellent communication skills
• Passion for HR and Talent Acquisition methods
• Exceptional oral and written communication skills in English

Job Summary

We are seeking a highly skilled and motivated Linux Device Driver Engineer with strong C/C++ programming skills and hands-on experience in Linux driver development. The ideal candidate will have a proven track record of working with kernel modules and hardware interfaces, and be comfortable debugging and optimizing low-level system software.

Key Responsibilities

• Porting existing Linux device drivers to new platforms, SoCs, and kernel versions.
• New driver development for custom hardware components and peripherals.
• Debugging kernel and driver-level issues using industry-standard tools.
• Integration & bring-up of hardware with Linux-based systems.
• Collaborate with hardware teams to interpret specifications and enable device functionality.
• Optimize drivers for performance, reliability, and resource efficiency.
• Write clear technical documentation for driver APIs, design, and integration steps.

Required Skills & Qualifications

• Bachelor’s/Master’s in Computer Science, Electronics, or related field.
• 4 to 8 years of professional experience in software development.
• Strong proficiency in C/C++ programming and memory management.
• Hands-on experience with any Linux device driver (character, block, network, USB, PCIe, I2C, SPI, etc.).
• Good understanding of Linux kernel architecture, module programming, and build systems.
• Knowledge of interrupt handling, DMA, and device tree configuration.
• Familiarity with cross-compilation and embedded Linux toolchains.
• Experience with debugging tools (GDB, ftrace, perf, printk, etc.).
• Version control experience (Git).

Preferred Skills

• Exposure to multiple driver types (networking, storage, multimedia, etc.).
• Experience with Yocto, Buildroot, or similar embedded Linux environments.
• Knowledge of real-time Linux and RT patches.
• Scripting knowledge (Python, Bash) for testing and automation.

Soft Skills

• Strong analytical and debugging skills.
• Good communication and collaboration abilities.
• Ability to work independently and take ownership of deliverables.

Roles and Responsibilities

Key Performance Indicators:

Translate designs and wireframes into high-quality code.

1. Design, build and maintain high performance, reusable and reliable Java code.
2. Ensure the best possible performance, quality, and responsiveness of the application.
3. Help in maintaining code quality, organization, and automatization.
4. Participating with the technical team in the execution of projects
5. Preparing the project documentation on its completion.
6. Analyzing defects and fixing it.
7. Maintaining On-time delivery of the projects.

Mandatory Skills:

1. Java, Kotlin, Android Studio, OOP Design, JSON, Retrofit, Firebase
2. Strong knowledge of Android SDK & different versions of Android.
3. Application development paradigms, memory management, and multi-threading
4. Comprehensive understanding of Android application architecture, Activities, Services, Intents, Content Providers and Notifications, Fragments, Application Development life-cycle, Web Apps, and Web View.
5. Excellent communication skills and the ability to communicate with clients at all levels and understand requirements carefully.
6. Familiarity with RESTful APIs to connect Android applications to back-end services.
7. Strong knowledge of Android UI design principles, patterns, and best practices.
8. Experience with offline storage, threading, and performance tuning.
9. Understanding of Google's Android design principles and interface guidelines.
10. A knack for writing clean, readable, and easily maintainable code.
11. Proficient understanding of code versioning tools, such as Git.
12. Excellent attention to detail.
13. Good troubleshooting skills.
14. Basic knowledge of MVVM architecture