CTO/Co-founder

We have opening for IT Company in Andheri East- Chakala

Role : Talent Acquisition Manager

Requirement

10+ years of experience in HR with major exposure in Talent Acquisition, preferably in the IT industry.

•  Identify talent needs and translate them into an agreed recruitment plan, aimed at the fulfilment of the needs within time, budget and quality constraints.
•  Develop an in-depth knowledge of the job specifications to include experience, skills and behavioral competencies needed for success in each role.
•  Conduct in-depth vacancy intake discussions leading to agreement with hiring manager on proposed recruitment plan.
•  Partner with stakeholders to understand business requirements, educate them on market dynamics and constantly evolve the recruitment process.
•  Create a hiring plan with deliverables, timelines and a formal tracking process.
•  Coordinate, Schedule and Interview candidates within the framework of the position specification. Possess strong ability to screen, interview and prepare a candidate slate within an appropriate and consistent timeline.
•  Conduct in-depth interviews of potential candidates, demonstrating ability to anticipate hiring manager preferences.
•  Identify talent needs and translate them into an agreed recruitment plan, aimed at the fulfilment of the needs within time, budget and quality constraints.
•  Develop an in-depth knowledge of the job specifications to include experience, skills and behavioral competencies needed for success in each role.
•  Conduct in-depth vacancy intake discussions leading to agreement with hiring manager on proposed recruitment plan.
•  Partner with stakeholders to understand business requirements, educate them on market dynamics and constantly evolve the recruitment process.
•  Create a hiring plan with deliverables, timelines and a formal tracking process.
•  Coordinate, Schedule and Interview candidates within the framework of the position specification. Possess strong ability to screen, interview and prepare a candidate slate within an appropriate and consistent timeline.
•  Conduct in-depth interviews of potential candidates, demonstrating ability to anticipate hiring manager preferences.
• Recommend ideas and strategies related to recruitment that will contribute to the growth of the company, implement new processes and fine-tuning standard processes for recruiting that fit within the Organization's mission to deliver high-value results to our customers.
• Participate in special projects/initiatives, including assessment of best practices in interviewing techniques, leveraging of internal sources of talent and identification of top performers for senior- level openings.
•  Build an “Employer Brand” in the Talent Market and Drive
• Improvements in the Talent Acquisition Process
•  Collaborate with marketing and communications teams for integrated branding campaigns.
•  Monitor and improve onboarding satisfaction scores and early attrition rates by tracking feedback from new recruits across.
•  Coordinate with HR operations, IT, medical admin, and business functions to ensure Day 1 readiness (system access, ID cards, induction slotting, etc.).
•  Ensure fast TAT, high-quality selection, and seamless onboarding process management.
•  Develop KPI dashboards (time-to-fill, cost-per-hire, quality-of-hire, interview-to-offer ratio) and present insights into leadership.

Android Engineer – AI Platforms & Immersive Experiences

Company: Jio Reality Labs

Location: Navi Mumbai, India

Job Type: Full-Time

Job Summary

Jio Reality Labs is looking for a skilled Android Engineer to build high-performance, scalable mobile

applications for AI-driven, real-time, and immersive platforms used by millions of users. This role

focuses on creating intuitive, responsive, and visually rich Android experiences for AI/ML

dashboards, real-time analytics, and AR/VR-enabled applications.

Responsibilities

1. Mobile Application Development

 Build and maintain scalable, high-performance Android applications using modern

development frameworks and tools.

 Develop intuitive user interfaces for AI/ML workflows, real-time analytics dashboards, and

enterprise tools.

 Translate product requirements and UX designs into clean, maintainable, and reusable code.

2. Real-Time & Data-Driven Interfaces

 Implement real-time UI updates for streaming data, live metrics, and system monitoring

dashboards.

 Work with APIs and WebSockets to render low-latency, data-intensive views.

 Ensure smooth user experience under high-traffic and high-data-volume scenarios.

3. UI/UX & Performance Optimization

 Optimize mobile application performance for speed, responsiveness, and scalability.

 Ensure compatibility across Android devices, screen sizes, and OS versions.

 Collaborate closely with designers to deliver polished, immersive user experiences.

4. Platform & Architecture

 Design mobile architecture that supports modularity, scalability, and long-term

maintainability.

 Implement state management, reusable components, and modular libraries to support

complex applications.

 Contribute to mobile development standards, best practices, and reusable design systems.

5. Collaboration & Delivery

 Work closely with backend, AI/ML, data engineering, and platform teams to integrate APIs

and workflows.

 Participate in code reviews, sprint planning, and technical design discussions.

 Support CI/CD pipelines and production deployments.

Required Skills & Qualifications

 Strong experience in Android development using Kotlin or Java.

 Hands-on experience with Android SDK, Jetpack components, and modern Android

architecture patterns (MVVM/MVI).

 Solid understanding of mobile UI principles, layouts, and responsive design.

 Experience consuming REST APIs and working with real-time data (WebSockets, streaming).

 Familiarity with performance optimization techniques and debugging tools.

Preferred Skills

 Experience building dashboards or data-intensive mobile applications.

 Familiarity with data visualization libraries or charting frameworks.

 Exposure to AR/VR, 3D, or graphics-intensive interfaces (ARCore, OpenGL, Unity

integrations).

 Experience with design systems, component libraries, and accessibility standards.

 Understanding of cloud-based deployments and CI/CD workflows.

Job Description

About the Role

We are seeking an experienced and hands-on Lead AI Engineer with 8-9 years of experience in developing, fine-tuning, and deploying machine learning and deep learning models, including Generative AI systems. The ideal candidate will have strong expertise in classification, anomaly detection, and time-series modeling, along with deep experience in Transformer-based architectures and modern LLM ecosystems.

This role requires technical leadership, architectural decision-making, and mentoring of AI engineers, while actively contributing to building scalable AI solutions. Expertise in model optimization, quantization, and Retrieval-Augmented Generation (RAG) pipelines is highly desirable.

Responsibilities

• Lead the design, development, and deployment of ML and deep learning models for classification, anomaly detection, forecasting, and natural language understanding tasks.
• Architect and build scalable AI and Generative AI solutions, including RAG pipelines for document search, Q&A, summarization, and enterprise knowledge systems.
• Design, train, and fine-tune deep learning models including RNNs, GRUs, LSTMs, and Transformer architectures (e.g., BERT, T5, GPT).
• Drive the fine-tuning and adaptation of large language models (LLMs) using techniques such as Supervised Fine-Tuning (SFT) and Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA or QLoRA.
• Apply model optimization techniques such as quantization, pruning, and efficient inference strategies to improve latency and reduce compute and memory footprint in production systems.
• Define and implement evaluation frameworks, track model performance, monitor model drift, and drive continuous model improvement.
• Lead collaboration with data engineering, backend, platform, and DevOps teams to productionize AI solutions using scalable infrastructure and CI/CD pipelines.
• Provide technical mentorship and guidance to junior and mid-level AI engineers and contribute to best practices in ML engineering.
• Ensure clean, reproducible code, maintain experiment tracking, documentation, and version control of models and datasets.
• Stay up to date with the latest advancements in LLMs, Generative AI, and AI infrastructure, and help drive adoption of new technologies.

Required Skills & Qualifications

• 8-9 years of hands-on experience in machine learning, deep learning, or data science roles.
• Strong programming expertise in Python and ML/DL libraries such as scikit-learn, pandas, PyTorch, and TensorFlow.
• Deep understanding of machine learning algorithms, deep learning architectures, and sequence/NLP modeling techniques.
• Extensive experience with Transformer models and open-source LLM ecosystems (e.g., Hugging Face Transformers).
• Hands-on experience building Generative AI applications and RAG-based systems using frameworks such as LangChain or LlamaIndex.
• Experience with model optimization and quantization techniques (dynamic/static quantization, INT8, etc.) for efficient inference.
• Strong understanding of embeddings, vector databases, and retrieval systems (e.g., FAISS, Pinecone, Azure AI Search).
• Experience with model evaluation, monitoring, and performance optimization in production environments.
• Familiarity with containerization (Docker), experiment tracking (MLflow), and CI/CD pipelines.
• Proven ability to lead technical initiatives and mentor engineering teams.

Preferred Qualifications

• Experience fine-tuning LLMs using SFT, LoRA, or QLoRA on domain-specific datasets.
• Exposure to MLOps platforms such as SageMaker, Vertex AI, or Kubeflow.
• Experience with distributed data processing frameworks like Spark and workflow orchestration tools such as Airflow.
• Contributions to research papers, technical blogs, patents, or open-source projects in ML, NLP, or Generative AI.
• Experience designing enterprise-scale AI platforms or AI-powered products.

  Excellent communication and interpersonal skills

   Ability to multitask, prioritize, and manage time effectively

   Strong analytical and problem-solving skills

   Understanding of sales performance metrics

   Experience in the telecommunications industry is a plus

   Proficient in MS Office

   Utilize your extensive network and contacts in acquisition to drive sales and achieve revenue targets.

   Should be flexible to do market visits any areas in Bangalore.

   Upselling/Cross selling/pitching of new products/Product penetration

   Take ownership of promoting the brand and products in the market.

   Utilise your extensive network and contacts in acquisition to drive sales and achieve revenue targets.

Roles & Responsibilities:

• Design and Build API/Micro services using Spring boot.
• Experience in Spring Reactive programming.
• Exposure to docker and containerization
• Developing enterprise grade highly scalable java-based application
• Writing test cases using Java testing framework like JUnit, Mockito.
• Proficient understanding of code version tools, such as Git, SVN
• Displaying initiative and an ability to lead others, and develop applications team disciplined manner
• Participating in application solutions including assisting with planning and architectural design, development, resolution of technical issues, and application rationalization.
• Utilizing and applying robust analytic thinking with the ability to identify, debug, and resolve technical issues.
• Achieving significant contributions within a small team of developers to lead teams and deliver solutions within an Agile methodology, whilst ensuring quality, timeliness and team-wide adherence to good architectural practice and guidelines.
• Good Experience in Application Software Design and Development, Object Oriented Analysis and Design (OOAD), Software Testing and Debugging.
• Conduct peer code reviews

Skills Required:
 

• Candidate should be able to generate business through online portal likes Upwork, Freelancer, People Per Hour and etc.
• Candidate Should be able to Understand client's requirements.
• Excellent written and spoken communication skills.
• Candidates must have knowledge about IT services.
• Candidates should be able to write creative proposals.
• Should be Professional and excellent at time management.
• Responsible to prepare use cases, Business Requirements Documents(BRD), System Requirements.
• Specification (SRS) documents, Wire framing of the finalized projects and other functional documents.