Unity Game Developer (All levels)

Review Criteria:

Mandatory:

• Strong AI Runtime Engineering (Lead / Staff) Profiles
• Must have 4+ years of software engineering experience
• Must have proven 1+ years of experience designing, building, and owning AI runtime infrastructure supporting distributed training and/or inference at scale
• Must have hands-on experience optimizing deep learning runtimes such as PyTorch, TensorFlow, etc
• Must have strong low-level performance engineering experience, including profiling, debugging, and optimizing system throughput, latency, and reliability
• Must have experience leading or mentoring a team, including technical guidance, code reviews, and delivery ownership
• Must have strong programming skills in Python, Java, C++ , etc

Preferred:

Experience with Kubernetes, Ray, TorchElastic, or custom AI job orchestration frameworks

Exposure to LLM training pipelines, checkpointing, elastic or distributed training orchestration

Role & Responsibilities:

As Lead/Staff AI Runtime Engineer, you’ll play a pivotal role in the design, development, and optimization of the core runtime infrastructure that powers distributed training and deployment of large AI models (LLMs and beyond). This is a hands-on leadership role - perfect for a systems-minded software engineer who thrives at the intersection of AI workloads, runtimes, and performance-critical infrastructure. You’ll own critical components of our PyTorch-based stack, lead technical direction, and collaborate across engineering, research, and product to push the boundaries of elastic, fault-tolerant, high-performance model execution.

What you’ll do:

Lead Runtime Design & Development:

• Own the core runtime architecture supporting AI training and inference at scale.
• Design resilient and elastic runtime features (e.g. dynamic node scaling, job recovery) within our custom PyTorch stack.
• Optimize distributed training reliability, orchestration, and job-level fault tolerance.

Drive Performance at Scale:

• Profile and enhance low-level system performance across training and inference pipelines.
• Improve packaging, deployment, and integration of customer models in production environments.
• Ensure consistent throughput, latency, and reliability metrics across multi-node, multi- GPU setups.

Build Internal Tooling & Frameworks:

• Design and maintain libraries and services that support model lifecycle: training, check pointing, fault recovery, packaging, and deployment.
• Implement observability hooks, diagnostics, and resilience mechanisms for deep learning workloads.
• Champion best practices in CI/CD, testing, and software quality across the AI Runtime stack.

Collaborate & Mentor:

• Work cross-functionally with Research, Infrastructure, and Product teams to align runtime development with customer and platform needs.
• Guide technical discussions, mentor junior engineers, and help scale the AI Runtime team’s capabilities.

Ideal Candidate:

• 5+ years of experience in systems/software engineering, with deep exposure to AI runtime, distributed systems, or compiler/runtime interaction.
• Experience in delivering PaaS services.
• Proven experience optimizing and scaling deep learning runtimes (e.g. PyTorch, TensorFlow, JAX) for large-scale training and/or inference.
• Strong programming skills in Python and C++ (Go or Rust is a plus).
• Familiarity with distributed training frameworks, low-level performance tuning, and resource orchestration.
• Experience working with multi-GPU, multi-node, or cloud-native AI workloads.
• Solid understanding of containerized workloads, job scheduling, and failure recovery inproduction environments.

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

Position: Senior Project Associate= 01

Essential Qualification:

(i) Master’s Degree in Natural or Agricultural Sciences/ MVSc or bachelor’s degree in Engineering or Technology or Medicine from a recognized University or equivalent

and

(ii) Four year’s experience in Research and Development in industrial and Academic Institutions or Science and Technology Organisations and Scientific activities and services

OR

Doctoral Degree in Science/ Engineering/ Technology/ Pharma/ MD/ MS from a recognized University or equivalent

Desirable Qualification: Full stack developer with demonstrable experience in working with different operating systems, Programming Languages (Shell Scripts, Python, C, MySQL, MariaDB, SQLite, HTML, PHP), Database Server (MySQL, OpenLDAP), Apache and NGINX Web Server, hands-on experience with application performance indicators like red metrics etc and Unity3D. Experience in React Native, online mentoring and content creation. Machine learning and evolutionary biology knowledge will be an added advantage. Previous experience in game development is highly desirable.

Upper Age limit (years) - 40

Monthly Emoluments: 42,000/- +HRA

Deadline for application - 22-Apr-2024

We are hiring BigCommerce Technical Lead ( Fulltime ) 

Job Summary:

We're seeking an experienced BigCommerce Technical Lead to join our team! As a technical lead, you'll oversee the design, development, and deployment of e-commerce solutions on the BigCommerce platform. You'll lead a team of developers, provide technical direction, and ensure the platform is optimized for performance, scalability, and security.

Responsibilities:

- Lead development efforts on BigCommerce projects

- Manage the BigCommerce platform, including customizations, integrations, and third-party applications

- Serve as technical lead for all BigCommerce projects

- Mentor and guide a team of developers

- Conduct code reviews to ensure adherence to best practices and coding standards

- Lead the design and development of custom BigCommerce themes, plugins, and extensions

- Implement advanced customizations, including API integrations and custom functionality

- Optimize and maintain existing BigCommerce stores

Qualifications:

- Deep expertise in BigCommerce development, including Stencil framework and custom theme/plugin development

- Strong proficiency in front-end technologies (HTML, CSS, JavaScript) and back-end development (PHP, Node.js, Java, etc.)

- Experience with RESTful API development and third-party integrations

- Familiarity with version control systems (e.g., Git) and CI/CD pipelines

- Knowledge of cloud services, serverless architectures, and performance optimization techniques

Monitor, analyze and fix issues for consumer and business VoIP services and endpoints.

Roles and Responsibilities:

• As a senior engineer, take complete ownership of supporting customer VoIP deployments by debugging issues and providing fixes.
• Document existing call flows
• Build customer confidence to grow/lead local team
• Support customer during PST timezone during critical releases

Required Skills:

• 5+ yrs of supporting VoIP services/applications on Linux platform
• Strong scripting skills with bash/python/perl
• Expertise in SIP call flow analysis and debugging using Wireshark
• Experience in debugging Kamailio and Freeswitch/asterisk based applications is a must
• Good problem solving/analytical skills
• Excellent written and verbal communication

Preferred Skills:

• Experience working with open source projects
• Exposure to Level 3-Carrier Integration
• Knowledge of networking protocols

Mobiloitte is a Premier, Full Service Software Development Company for Blockchain, IoT, Artificial Intelligence, BOTS, Mobile, and Web Development with a special focus on Timeliness, Security, Scale, and Performance. Our teams have worked across the industries and verticals while servicing more than 5000 projects so far. This rich experience with global clientele and varied technology landscape has shaped us into a winning team with a magic sauce of EXPERIENCE-EXUBERANCE-EXPERTISE combined and enables us to provide top-notch services and solutions.

Job Title:   React Native Developer

Reports to: Technical Lead

Experience:  1- 5 Years

Company Name: Mobiloitte.

Website: http://mobiloitte.com/">mobiloitte.com

Location:    New Delhi

Qualifications:  B.E/B.Tech /MCA

Roles & Responsibilities

1. Understanding requirements & functional specifications
2. Should be able to translate mockups and wireframes into a mobile app and web design
3. Use React to develop next-generation web user interfaces
4. Develop native mobile apps with React-Native
5. Write unit and UI tests to identify malfunctions
6. Ensure quality through design, processes, and tools in a CI/CD environment
7. Communicate with partner engineers to establish standards and architectural directions

Desired Candidate Profile:

1. Experience using React, React-Native
2. User Interface Development with JavaScript, SASS
3. Hands-on experience on Android, iOS platforms in creating Hybrid / Native applications
4. Must have a strong understanding of modern JavaScript/ECMAScript, GraphQL, e.g. Relay or Apollo
5. Familiar with TypeScript and/or Flow, analytics tools, and standard methodologies for web and/or mobile accessibility
6. Experience using 3rd party APIs (Facebook, Twitter, Google Maps, etc.)

• Strong knowledge of MERN stack (MongoDB, Express JS, React JS, Node JS, HTML5, CSS3, jQuery, Bootstrap, SASS)
• You will also need to interact with mysql databases.
• Develop user interfaces for modern rich internet applications with the latest front-end technologies
• Should have knowledge of of consuming and creating APIs
• Developing features to enhance the user experience.
• Should have excellent in-depth knowledge of Nodejs and MongoDB
• Hands-on experience working with Object-Oriented JavaScript (OOJS), JavaScript libraries, and their practical uses in building complex interactive experiences
• Building reusable code for future use

Job description

Roles and Responsibilities

• Design and build advanced applications for the IOS platform
• Maintain quality and ensure responsiveness of applications.
• Collaborate with the rest of the engineering team to design and launch new features.
• Collaborate with cross-functional teams to define, design & deploy.
• Work with outside data sources and APIs
• Unit-test code for robustness.
• Work on bug fixing and improving application performance
• Maintain code integrity and organization.

Desired Candidate Profile

• 2+ Years should be required in iOS development.
• Should be well aware about iPhone/iPad application development
• Should be well versed with Core data concepts
• Should be well versed with Swift-UI
• Should be well versed with Network load optimisations & other core networking concepts
• Must be very good with designing pixel perfect UI
• Good to have Core Audio, Graphics & video frameworks.
• Good knowledge of app deployment process & good to have knowledge on build automation.
• Should have decent communication skills to be able to interact with Clients.