
About the Role
We are looking for a passionate AI Engineer Intern (B.Tech, M.Tech / M.S. or equivalent) with strong foundations in Artificial Intelligence, Computer Vision, and Deep Learning to join our R&D team.
You will help us build and train realistic face-swap and deepfake video models, powering the next generation of AI-driven video synthesis technology.
This is a remote, individual-contributor role offering exposure to cutting-edge AI model development in a startup-like environment.
Key Responsibilities
- Research, implement, and fine-tune face-swap / deepfake architectures (e.g., FaceSwap, SimSwap, DeepFaceLab, LatentSync, Wav2Lip).
- Train and optimize models for realistic facial reenactment and temporal consistency.
- Work with GANs, VAEs, and diffusion models for video synthesis.
- Handle dataset creation, cleaning, and augmentation for face-video tasks.
- Collaborate with the AI core team to deploy trained models in production environments.
- Maintain clean, modular, and reproducible pipelines using Git and experiment-tracking tools.
Required Qualifications
- B.Tech, M.Tech / M.S. (or equivalent) in AI / ML / Computer Vision / Deep Learning.
- Certifications in AI or Deep Learning (DeepLearning.AI, NVIDIA DLI, Coursera, etc.).
- Proficiency in PyTorch or TensorFlow, OpenCV, FFmpeg.
- Understanding of CNNs, Autoencoders, GANs, Diffusion Models.
- Familiarity with datasets like CelebA, VoxCeleb, FFHQ, DFDC, etc.
- Good grasp of data preprocessing, model evaluation, and performance tuning.
Preferred Skills
- Prior hands-on experience with face-swap or lip-sync frameworks.
- Exposure to 3D morphable models, NeRF, motion transfer, or facial landmark tracking.
- Knowledge of multi-GPU training and model optimization.
- Familiarity with Rust / Python backend integration for inference pipelines.
What We Offer
- Work directly on production-grade AI video synthesis systems.
- Remote-first, flexible working hours.
- Mentorship from senior AI researchers and engineers.
- Opportunity to transition into a full-time role upon outstanding performance.
Location: Remote | Stipend: ₹10,000/month | Duration: 3–6 months

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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications:
- Master’s degree or PhD in Computer Science or a related field with a focus on Artificial Intelligence (AI) or Machine Learning (ML).
- 7 years of software experience designing and deploying large-scale AI/ML applications and complex models.
- Experience with MLOps, establishing best practices for production model monitoring, maintenance, and lifecycle management.
- Experience leading and mentoring engineers, and translating complex business objectives into scalable AI-driven roadmaps.
- Experience architecting scalable data pipelines using BigQuery, Beam, or Dataflow, and deploying models on Google Cloud Platform.
- Understanding of Python and frameworks like TensorFlow, JAX, and Scikit-learn, with deep statistical modeling knowledge.
About the job
The People Operations Engineering team is dedicated to building innovative and scalable technology solutions that empower a global workforce. Leveraging the power of data, AI, and machine learning, the team optimizes HR processes, enhances employee experiences, and drives organizational efficiency. Joining this team offers the opportunity to lead the application of AI to solve complex, real-world business challenges.
We are seeking a highly experienced and results-oriented Senior AI Software Engineer to join the Human Resources Engineering (HRE) team in Hyderabad.
In this role, you will serve as a technical leader, driving the design, development, and deployment of sophisticated AI-powered solutions that significantly impact employees across the organization. You will work on large-scale infrastructure, mentor a talented team of engineers, collaborate with cross-functional stakeholders, and help shape the future of HR through innovative AI applications. You will be responsible for translating complex business challenges and strategic objectives into scalable, efficient AI/ML systems.
As part of the Corporate Engineering organization, you will build world-class business solutions that support a global enterprise. The team delivers end-to-end platforms, tools, and experiences that enable employees to work more effectively and drive innovation across the organization.
Responsibilities
- Lead the technical design and architecture of complex, scalable AI/ML systems and infrastructure within the HR engineering domain, ensuring high reliability, performance, and long-term sustainability.
- Drive the development of advanced AI/ML algorithms for HR applications such as talent acquisition and employee engagement using Python and frameworks like TensorFlow and JAX.
- Architect large-scale data pipelines for data ingestion, cleaning, and feature engineering using modern data processing frameworks (e.g., Beam, Dataflow), while leading root cause analysis and system troubleshooting.
- Own the end-to-end MLOps lifecycle, including model deployment, monitoring, optimization, and maintenance, while establishing best practices for software development and code quality.
- Collaborate with cross-functional stakeholders to translate business needs into scalable AI/ML solutions, mentor engineers, and drive the adoption of emerging AI technologies across the organization.
We're Hiring: Golang Developer (3–5 Years Experience)
Location: Banaglore
We are looking for a skilled Golang Developer with strong experience in backend development, microservices, and system-level programming. In this role, you will work on high-performance trading systems, low-latency architecture, and scalable backend solutions.
Key Responsibilities
• Develop and maintain backend services using Golang
• Build scalable, secure, and high-performance microservices
• Work with REST APIs, WebSockets, message queues, and distributed systems
• Collaborate with DevOps, frontend, and product teams for smooth project delivery
• Optimize performance, troubleshoot issues, and ensure system stability
Skills & Experience Required
• 3–5 years of experience in Golang development
• Strong understanding of data structures, concurrency, and networking
• Hands-on experience with MySQL / Redis / Kafka or similar technologies
• Good understanding of microservices architecture, APIs, and cloud environments
• Experience in fintech/trading systems is an added advantage
• Immediate joiners or candidates with up to 30 days notice period preferred
If you are passionate about backend engineering and want to build fast, scalable trading systems, share your resume.
Strong Full stack/Backend engineer profile
Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)
Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures
Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS
Mandatory (AI): Must have hands on experience with using AI tools (eg: Claude, Cursor, GitHub Copilot, Codeium, Deepdcode) for coding
Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis
Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS
Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring
Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design
Mandatory (Company) : Product companies (B2B SaaS preferred
Azure Chatbot Developer
Location :Bangalore / Mumbai / Pune
Job Description
Build and maintain bots on Azure platform. Integration with Active directory, WEB API based integration with external systems. Training and Integrate bots as per users’ requirements. Work in line with design guidelines, best practices and standards of bot deliverable. Creative approach to the conversation flow design, human aspects in the bot responses and sentiments
Qualifications
a) 5 years of experience in software development with clear understanding of the project life cycle
b) Min 2-3 years of hands-on experience in Microsoft Azure Bot Framework, LUIS and other Cognitive services offered by Azure
c) Hands on experience with Machine Learning based chat bots
d) Experience with Azure bot services like Text Analytics etc.
e)Strong database skills and hands-on experience on databases like SQL Server/Oracle
f) Strong experience on Azure Active directory and adaptive cards integration in Chat bot.
g) Strong experience designing and working with
with service-oriented architectures (SOA) and WebAPIs.
h) A strong experience on Microsoft Azure, ASPNET / MVC and programming languages such as C#/VBNET
i) Knowledge of Python and NodeJS is a plus
j) Ability to design and optimize SQL Server 2008 stored procedures.
k) Experience with JQuery, CSS3, HTML5 or similar technologies.
l) Ability to adapt quickly to an existing, complex environment.
Exp: 7- 10 Years
CTC: up to 35 LPA
Skills:
- 6–10 years DevOps / SRE / Cloud Infrastructure experience
- Expert-level Kubernetes (networking, security, scaling, controllers)
- Terraform Infrastructure-as-Code mastery
- Hands-on Kafka production experience
- AWS cloud architecture and networking expertise
- Strong scripting in Python, Go, or Bash
- GitOps and CI/CD tooling experience
Key Responsibilities:
- Design highly available, secure cloud infrastructure supporting distributed microservices at scale
- Lead multi-cluster Kubernetes strategy optimized for GPU and multi-tenant workloads
- Implement Infrastructure-as-Code using Terraform across full infrastructure lifecycle
- Optimize Kafka-based data pipelines for throughput, fault tolerance, and low latency
- Deliver zero-downtime CI/CD pipelines using GitOps-driven deployment models
- Establish SRE practices with SLOs, p95 and p99 monitoring, and FinOps discipline
- Ensure production-ready disaster recovery and business continuity testing
If interested Kindly share your updated resume at 82008 31681
Job Description:
Position: Python Technical Architect
Major Responsibilities:
● Develop and customize solutions, including workflows, Workviews, and application integrations.
● Integrate with other enterprise applications and systems.
● Perform system upgrades and migrations to ensure optimal performance.
● Troubleshoot and resolve issues related to applications and workflows using Diagnostic console.
● Ensure data integrity and security within the system.
● Maintain documentation for system configurations, workflows, and processes.
● Stay updated on best practices, new features and industry trends.
● Hands-on in Waterfall & Agile Scrum methodology.
● Working on software issues and specifications and performing Design/Code Review(s).
● Engaging in the assignment of work to the development team resources, ensuring effective transition of knowledge, design assumptions and development expectations.
● Ability to mentor developers and lead cross-functional technical teams.
● Collaborate with stakeholders to gather requirements and translate them into technical specifications for effective workflow/Workview design.
● Assist in the training of end-users and provide support as needed
● Contributing to the organizational values by actively working with agile development teams, methodologies, and toolsets.
● Driving concise, structured, and effective communication with peers and clients.
Key Capabilities and Competencies Knowledge
● Proven experience as a Software Architect or Technical Project Manager with architectural responsibilities.
● Strong proficiency in Python and relevant frameworks (Django, Flask, FastAPI).
● Strong understanding of software development lifecycle (SDLC), agile methodologies (Scrum, Kanban) and DevOps practices.
● Expertise in Azure cloud ecosystem and architecture design patterns.
● Familiarity with Azure DevOps, CI/CD pipelines, monitoring and logging.
● Experience with RESTful APIs, microservices architecture and asynchronous processing.
● Deep understanding of insurance domain processes such as claims management, policy administration etc.
● Experience in database design and data modelling with SQL(MySQL) and NoSQL(Azure Cosmos DB).
● Knowledge of security best practices including data encryption, API security and compliance standards.
● Knowledge of SAST and DAST security tools is a plus.
● Strong documentation skill for articulating architecture decisions and technical concepts to stakeholders.
● Experience with system integration using middleware or web services.
● Server Load Balancing, Planning, configuration, maintenance and administration of the Server Systems.
● Experience with developing reusable assets such as prototypes, solution designs, documentation and other materials that contribute to department efficiency.
● Highly cognizant of the DevOps approach like ensuring basic security measures.
● Technical writing skills, strong networking, and communication style with the ability to formulate professional emails, presentations, and documents.
● Passion for technology trends in the insurance industry and emerging technology space.
Qualification and Experience
● Recognized with a Bachelor’s degree in Computer Science, Information Technology, or equivalent.
● Work experience - Overall experience 10-12 years
● Recognizable domain knowledge and awareness of basic insurance and regulatory frameworks.
● Previous experience working in the insurance industry (AINS Certification is a plus).
Fulfil’s software engineers develop the next-generation technologies that change how millions of customer orders are fulfilled by merchants. Our products need to handle information at massive scale. We're looking for engineers who bring fresh ideas from all areas into our technology.
As a senior software engineer, you will work on our python based ORM and applications that scales to handle millions of transactions every hour. This is mission critical software and your primary focus will be building robust and scalable solutions that are easy to maintain.
In this role, you will be collaborating closely with the rest of the team working on different layers of infrastructure in an international environment. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product are important.
What You’ll Do:
- Own definition and implementation of API interfaces (REST and GraphQL). We take pride in our 100% open API with over 600 endpoints.
- Implement simple solutions to complex business logic that enables our merchants to manage financials, orders and shipments across millions of transactions.
- Build reusable components and packages for future use.
- Translate specs and user stories into reviewable, test covered patches.
- Peer review code and refactor existing code.
- Integrate with our eCommerce partners (Shopify, BigCommerce, Amazon), shipping partners (UPS, USPS, FedEx, DHL) and EDI.
- Manage Kubernetes and Docker based global deployment of our infrastructure.
Requirements
We’re Looking for Someone With:
- Experience working with ORMs like SQLAlchemy or Django (2-3 years)
- Experience with SQL and databases (Postgres preferred)
- Experience in developing large server side applications and microservices
- Ability to create high quality code
- Experience with python testing tools (pytest) and test automation
- Familiarity with code versioning tools like GIT
- Strong sense of ownership and leadership quality
- Experienced in the tools of our web stack- Python, Celery, Postgres, Redis, RabbitMQ
Nice to Haves:
- Prior experience at a growth stage Internet/Software company
- Experience with ReactJS, Google Cloud, Heroku
- Cloud deployment and scaling experience










