Image Processing Engineer

Responsibilities

Develop and maintain web and backend components using Python, Node.js, and Zoho tools

Design and implement custom workflows and automations in Zoho

Perform code reviews to maintain quality standards and best practices

Debug and resolve technical issues promptly

Collaborate with teams to gather and analyze requirements for effective solutions

Write clean, maintainable, and well-documented code

Manage and optimize databases to support changing business needs

Contribute individually while mentoring and supporting team members

Adapt quickly to a fast-paced environment and meet expectations within the first month

Leadership Opportunities

Lead and mentor junior developers in the team

Drive projects independently while collaborating with the broader team

Act as a technical liaison between the team and stakeholders to deliver effective solutions

Selection Process

1. HR Screening: Review of qualifications and experience

2. Online Technical Assessment: Test coding and problem-solving skills

3. Technical Interview: Assess expertise in web development, Python, Node.js, APIs, and Zoho

4. Leadership Evaluation: Evaluate team collaboration and leadership abilities

5. Management Interview: Discuss cultural fit and career opportunities

6. Offer Discussion: Finalize compensation and role specifics

Experience Required

5- 7 years of relevant experience as a Software Developer

Proven ability to work as a self-starter and contribute individually

Strong technical and interpersonal skills to support team members effectively

Job Title : Applied AI Engineer (AI/ML & LLM Deployment)

Experience : 4+ Years

Location : Remote

Job Summary :

We are looking for an Applied AI Engineer with strong expertise in Large Language Models (LLMs) to design, optimize, and deploy advanced AI solutions. The role focuses on LLM integration, fine-tuning, and performance optimization for scalable production use.

Mandatory Skills :

LLM Integration, Prompt Engineering, LangChain/LlamaIndex, Fine-tuning & LoRA, Model Quantization, Local Deployment, Tokenizers, Performance Optimization.

Key Responsibilities :

• Integrate GPT-4, Claude, and open-source LLMs into applications.
• Design and implement prompt engineering for context-specific, tone-appropriate outputs.
• Build AI pipelines using LangChain, LlamaIndex, or similar frameworks.
• Perform fine-tuning and LoRA (Low-Rank Adaptation) to customize models.
• Apply model quantization (GGML, GPTQ, bitsandbytes) for efficient deployment.
• Deploy models with Hugging Face Transformers, vLLM, llama.cpp.
• Optimize tokenization and inference performance for low latency.

Required Skills :

• Strong hands-on experience with LLMs (OpenAI GPT-4, Claude, open-source models).
• Proficiency in Prompt Engineering and tone-specific output design.
• Experience with LangChain, LlamaIndex, or other orchestration frameworks.
• Knowledge of fine-tuning, LoRA techniques, and quantization methods.
• Familiarity with deployment frameworks (Transformers, vLLM, llama.cpp).
• Strong understanding of tokenizers and efficient text preprocessing.
• Ability to optimize models for real-time, low-latency inference.
• Solid programming skills in Python and experience with PyTorch/TensorFlow.

Nice to Have :

• Exposure to MLOps tools (Docker, Kubernetes, CI/CD for AI).
• Experience with evaluation frameworks for LLMs.
• Knowledge of multi-modal models (text, vision, audio).

Senior Machine Learning Engineer

📍 Location: Remote

💼 Type: Full-Time

💰 Salary: $800 - $1,000 USD / month

Apply at: https://forms.gle/Fwti67UeTEkx2Kkn6

About Us

At Momenta, we're committed to creating a safer digital world by protecting individuals and businesses from voice-based fraud and scams. Through innovative AI technology and community collaboration, we're building a future where communication is secure and trustworthy.

Position Overview

We’re hiring a Senior Machine Learning Engineer with deep expertise in audio signal processing and neural network-based detection. The selected engineer will be responsible for delivering a production-grade, real-time deepfake detection pipeline as part of a time-sensitive, high-stakes 3-month pilot deployment.

Key Responsibilities

📌 Design and Deliver Core Detection Pipeline

Lead the development of a robust, modular deepfake detection pipeline capable of ingesting, processing, and classifying real-time audio streams with high accuracy and low latency. Architect the system to operate under telecom-grade conditions with configurable interfaces and scalable deployment strategies.

📌 Model Strategy, Development, and Optimization

Own the experimentation and refinement of state-of-the-art deep learning models for voice fraud detection. Evaluate multiple model families, benchmark performance across datasets, and strategically select or ensemble models that balance precision, robustness, and compute efficiency for real-world deployment.

📌 Latency-Conscious Production Readiness

Ensure the entire detection stack meets strict performance targets, including sub-20ms inference latency. Apply industry best practices in model compression, preprocessing optimization, and system-level integration to support high-throughput inference on both CPU and GPU environments.

📌 Evaluation Framework and Continuous Testing

Design and implement a comprehensive evaluation suite to validate model accuracy, false positive rates, and environmental robustness. Conduct rigorous testing across domains, including cross-corpus validation, telephony channel effects, adversarial scenarios, and environmental noise conditions.

📌 Deployment Engineering and API Integration

Deliver a fully containerized, production-ready inference service with REST/gRPC endpoints. Build CI/CD pipelines, integration tests, and monitoring hooks to ensure system integrity, traceability, and ease of deployment across environments.

Required Skills & Qualifications

🎯 Technical Skills:

ML Frameworks: PyTorch, TensorFlow, ONNX, OpenVINO, TorchScript

Audio Libraries: Librosa, Torchaudio, FFmpeg

Model Development: CNNs, Transformers, Wav2Vec/WavLM, AASIST, RawNet

Signal Processing: VAD, noise reduction, band-pass filtering, codec simulation

Optimization: Quantization, pruning, GPU acceleration

DevOps: Git, Docker, CI/CD, FastAPI or Flask, REST/gRPC

🎯 Preferred Experience:

Prior work on audio deepfake detection or telephony speech processing

Experience with real-time ML model deployment

Understanding of adversarial robustness and domain adaptation

Familiarity with call center environments or telecom-grade constraints

Compensation & Career Path:

Competitive pay based on experience and capability. ($800 - $1,000 USD / month)

Full-time with potential for conversion to a core team role.

Opportunity to lead future research and production deployments as part of our AI division.

Why Join Momenta?

Solve a global security crisis with cutting-edge AI.

Own a deliverable that will ship into production at scale.

Join a fast-growing team with seasoned founders and engineers.

Fully remote, high-autonomy environment focused on deep work.

🚀 Apply now and help shape the future of voice security

Greetings from Coders Brain Technology Pvt. Ltd.

Coders Brain is a global leader in its services, digital, and business solutions that partners with its clients to simplify, strengthen, and transform their businesses. We ensure the highest levels of certainty and satisfaction through a deep-set commitment to our clients, comprehensive industry expertise, and a global network of innovation and delivery centers.

Location:  Bangalore - Hybrid Mode( 3 days Office,2 days Work from Home)

Position: Permanent with Coders Brain

Experience: 4 to 10 yrs

Notice Period: Immediate or 15 days(Serving Candidates)

Role:-  Linux BSP/Device Drivers developer

 JD:-

Linux porting/development; Linux kernel concepts

Expertise in Linux BSP device driver development,Device Tree

Customizing kernel + Porting + Developing Applications Linux Device Driver Development (Character devices)

Expertise in porting, network stack; optimization, network programming

Bootloader/Uboot porting

Camera driver development (Good to have)

Skills:- Kernel Programming, Data Structures, Algorithms, C++, BSP, Device Driver Development and Linux kernel Porting

Pls Contact to sairam.akirala

@

kiaraglobalservices.com

798

981 217 8

Location: New Delhi or Remote

Qualifications:

Education: Bachelor’s degree in Business Administration, AI/ML, Data Science, or a related field; MBA preferred.

Experience: Minimum of 5+ years of experience in strategic planning, business development, or operations management, preferably in the AI, IT, or outsourcing industry.

Skills:

• Strong analytical and problem-solving skills.
• Proven ability to craft actionable strategies backed by data-driven insights.
• Excellent communication and stakeholder management abilities.
• Solid leadership experience in managing teams and cross-functional projects.

Technical Knowledge: Understanding of AI, machine learning, and data annotation processes is a strong advantage. Proficiency in tools like Excel, PowerPoint, and data visualization software is required.

Preferred Qualifications:

• Experience in AI-related industries, including data collection, annotation, transcription, or localization.
• Proven track record of driving strategic initiatives that delivered tangible business results.
• Familiarity with global markets and managing offshore teams

Key Responsibilities:

• Strategic Planning
• Market Insights
• Client Growth Strategy
• Operational Optimization
• Performance Tracking
• Revenue and Cost Management
• Innovation Leadership

Responsibilities:

• Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
• Design and implement cloud solutions, build MLOps on the cloud (preferably AWS)
• Work with workflow orchestration tools like Kubeflow, Airflow, Argo, or similar tools
• Data science models testing, validation, and test automation.
• Communicate with a team of data scientists, data engineers, and architects, and document the processes.

Eligibility:

• Rich hands-on experience in writing object-oriented code using python
• Min 3 years of MLOps experience (Including model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, continuous learning, and Automated pipelines)
• Understanding of Data Structures, Data Systems, and software architecture
• Experience in using MLOps frameworks like Kubeflow, MLFlow, and Airflow Pipelines for building, deploying, and managing multi-step ML workflows based on Docker containers and Kubernetes.
• Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc. )

Embedded System Engineer

Working on Embedded programming on the microcontroller, Linux/Android OS development

Working on component sourcing, PCB Design and fabrication

Working on assembly and testing

Working on field deployment and Testing

Skills:

Embedded Systems

C Programming

Must be exceptionally good in Embedded Systems C programming, testing/ debugging and in advanced C concepts

Capable of working in Embedded Systems based projects based on 8 and 32 bit microcontrollers (STM32)

Experience with communication protocols and peripherals like UART, SPI, RTC, Ethernet

Hands on experience in IDE like Keil, AVR Studio, MPLAB

Strong documentation and writing skills

Work Experience

1-3 years preferable, fresher with good embedded system knowledge can also apply

About Quidich

http://www.quidich.com">Quidich Innovation Labs pioneers products and customized technology solutions for the Sports Broadcast & Film industry. With a mission to bring machines and machine learning to sports, we use camera technology to develop services using remote controlled systems like drones and buggies that add value to any broadcast or production. Quidich provides services to some of the biggest sports & broadcast clients in India and across the globe. A few recent projects include Indian Premier League, ICC World Cup for Men and Women, Kaun Banega Crorepati, Bigg Boss, Gully Boy & Sanju.

What’s Unique About Quidich?

• Your work will be consumed by millions of people within months of your joining and will impact consumption patterns of how live sport is viewed across the globe.
• You work with passionate, talented, and diverse people who inspire and support you to achieve your goals.
• You work in a culture of trust, care, and compassion.
• You have the autonomy to shape your role, and drive your own learning and growth. 

Opportunity

• You will be a part of world class sporting events
• Your contribution to the software will help shape the final output seen on television
• You will have an opportunity to work in live broadcast scenarios
• You will work in a close knit team that is driven by innovation
  
  

Role

We are looking for a tech enthusiast who can work with us to help further the development of our Augmented Reality product, https://www.quidich.com/services/spatio">Spatio, to keep us ahead of the technology curve. We are one of the few companies in the world currently offering this product for live broadcast. We have a tight product roadmap that needs enthusiastic people to solve problems in the realm of software development and computer vision systems. Qualified candidates will be driven self-starters, robust thinkers, strong collaborators, and adept at operating in a highly dynamic environment. We look for candidates that are passionate about the product and embody our values.

Responsibilities

• Working with the research team to develop, evaluate and optimize various state of the art algorithms.
• Deploying high performance, readable, and reliable code on edge devices or any other target environments.
• Continuously exploring new frameworks and identifying ways to incorporate those in the product.
• Collaborating with the core team to bring ideas to life and keep pace with the latest research in Computer Vision, Deep Learning etc.

Minimum Qualifications, Skills and Competencies

• B.E/B.Tech or Masters in Computer Science, Mathematics or relevant experience
• 3+ years of experience in computer vision algorithms like - sfm/SLAM, optical flow, visual-inertial odometry
• Experience in sensor fusion (camera, imu, lidars) and in probabilistic filters - EKF, UKF
• Proficiency in programming - C++ and algorithms
• Strong mathematical understanding - linear algebra, 3d-geometry, probability.

Preferred Qualifications, Skills and Competencies

• Proven experience in optical flow, multi-camera geometry, 3D reconstruction
• Strong background in Machine Learning and Deep Learning frameworks.

Reporting To: Product Lead 

Joining Date: Immediate (Mumbai)