153 Quantization Jobs

Technical Expertise : (minimum 2 year relevant experience) ● Solid understanding of Generative AI models and Natural Language Processing (NLP) techniques, including Retrieval-Augmented Generation (RAG) systems, text generation, and embedding models. ● Exposure to Agentic AI concepts, multi-agent systems, and agent development using open-source frameworks like LangGraph and LangChain. ● Hands-on experience with modality-specific encoder models (text, image, audio) for multi-modal AI applications. ● Proficient in model fine-tuning, prompt engineering, using both open-source and proprietary LLMs. ● Experience with model quantization, optimization, and conversion techniques (FP32 to INT8, ONNX, TorchScript) for efficient deployment, including edge devices. ● Deep understanding of inference pipelines, batch processing, and real-time AI deployment on both CPU and GPU. ● Strong MLOps knowledge with experience in version control, reproducible pipelines, continuous training, and model monitoring using tools like MLflow, DVC, and Kubeflow. ● Practical experience with scikit-learn, TensorFlow, and PyTorch for experimentation and production-ready AI solutions. ● Familiarity with data preprocessing, standardization, and knowledge graphs (nice to have). ● Strong analytical mindset with a passion for building robust, scalable AI solutions. ● Skilled in Python, writing clean, modular, and efficient code. ● Proficient in RESTful API development using Flask, FastAPI, etc., with integrated AI/ML inference logic. ● Experience with MySQL, MongoDB, and vector databases like FAISS, Pinecone, or Weaviate for semantic search. ● Exposure to Neo4j and graph databases for relationship-driven insights. ● Hands-on with Docker and containerization to build scalable, reproducible, and portable AI services. ● Up-to-date with the latest in GenAI, LLMs, Agentic AI, and deployment strategies. ● Strong communication and collaboration skills, able to contribute in cross-functional and fast-paced environments. Bonus Skills ● Experience with cloud deployments on AWS, GCP, or Azure, including model deployment and model inferencing. ● Working knowledge of Computer Vision and real-time analytics using OpenCV, YOLO, and similar Show more Show less

Job Title: AI Engineer Want to join a startup, but with the stability of a larger organization? Join our innovation team at HGS that's focused on building SaaS products. If you are highly driven & passionate person who'd like to build highly scalable SaaS products in a startup type of environment, you're welcome to apply. The HGS Digital Innovation Team is designed to create products and solutions relevant for enterprises, discover innovations and to contextualize and experiment with them within a specific industry. This unit provides an environment for the exploration, development, and testing of Cloud-based Digital AI solutions. In addition to that it also looks at rapid deployment at scale and sustainability of these solutions for target business impacts. Job Overview We are seeking an agile AI Engineer with a strong focus on both AI engineering and SaaS product development in a 0-1 product environment. This role is perfect for a candidate skilled in building and iterating quickly, embracing a fail fast approach to bring innovative AI solutions to market rapidly. You will be responsible for designing, developing, and deploying SaaS products using advanced Large Language Models (LLMs) such as Meta, Azure OpenAI, Claude, and Mistral, while ensuring secure, scalable, and high-performance architecture. Your ability to adapt, iterate, and deliver in fast-paced environments is critical. Responsibilities Lead the design, development, and deployment of SaaS products leveraging LLMs, including platforms like Meta, Azure OpenAI, Claude, and Mistral. Support product lifecycle, from conceptualization to deployment, ensuring seamless integration of AI models with business requirements and user needs. Build secure, scalable, and efficient SaaS products that embody robust data management and comply with security and governance standards. Collaborate closely with product management, and other stakeholders to align AI-driven SaaS solutions with business strategies and customer expectations. Fine-tune AI models using custom instructions to tailor them to specific use cases and optimize performance through techniques like quantization and model tuning. Architect AI deployment strategies using cloud-agnostic platforms (AWS, Azure, Google Cloud), ensuring cost optimization while maintaining performance and scalability. Apply retrieval-augmented generation (RAG) techniques to build AI models that provide contextually accurate and relevant outputs. Build the integration of APIs and third-party services into the SaaS ecosystem, ensuring robust and flexible product architecture. Monitor product performance post-launch, iterating and improving models and infrastructure to enhance user experience and scalability. Stay current with AI advancements, SaaS development trends, and cloud technology to apply innovative solutions in product development. Qualifications Bachelor’s degree or equivalent in Information Systems, Computer Science, or related fields. 6+ years of experience in product development, with at least 2 years focused on AI-based SaaS products. Demonstrated experience in leading the development of SaaS products, from ideation to deployment, with a focus on AI-driven features. Hands-on experience with LLMs (Meta, Azure OpenAI, Claude, Mistral) and SaaS platforms. Proven ability to build secure, scalable, and compliant SaaS solutions, integrating AI with cloud-based services (AWS, Azure, Google Cloud). Strong experience with RAG model techniques and fine-tuning AI models for business-specific needs. Proficiency in AI engineering, including machine learning algorithms, deep learning architectures (e.g., CNNs, RNNs, Transformers), and integrating models into SaaS environments. Solid understanding of SaaS product lifecycle management, including customer-focused design, product-market fit, and post-launch optimization. Excellent communication and collaboration skills, with the ability to work cross-functionally and drive SaaS product success. Knowledge of cost-optimized AI deployment and cloud infrastructure, focusing on scalability and performance. Show more Show less

Company: Chicmic Studios Job Role: Python Machine Learning & AI Developer Experience Required: 3+ Years We are looking for a highly skilled and experienced Python Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential. Key Responsibilities Develop and maintain web applications using Django and Flask frameworks. Design and implement RESTful APIs using Django Rest Framework (DRF) Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. Build and integrate APIs for AI/ML models into existing systems. Create scalable machine learning models using frameworks like PyTorch , TensorFlow , and scikit-learn . Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases. Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization. Deploy and manage machine learning models in production environments using tools like TensorFlow Serving , TorchServe , and AWS SageMaker . Ensure the scalability, performance, and reliability of applications and deployed models. Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions. Write clean, maintainable, and efficient code following best practices. Conduct code reviews and provide constructive feedback to peers. Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. Required Skills and Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 3+ years of professional experience as a Python Developer. Proficient in Python with a strong understanding of its ecosystem. Extensive experience with Django and Flask frameworks. Hands-on experience with AWS services for application deployment and management. Strong knowledge of Django Rest Framework (DRF) for building APIs. Expertise in machine learning frameworks such as PyTorch , TensorFlow , and scikit-learn . Experience with transformer architectures for NLP and advanced AI solutions. Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with MLOps practices for managing the machine learning lifecycle. Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Contact : 9875952836 Office Location: F273, Phase 8b Industrial Area Mohali, Punjab. Job Type: Full-time Schedule: Day shift Monday to Friday Work Location: In person

Total - 3 to 5 Yrs of Experience Role & Responsibilities Agentic AI Development: Design and develop multi-agent conversational frameworks with adaptive decision-making capabilities. Integrate goal-oriented reasoning and memory components into agents using transformer-based architectures. Build negotiation-capable bots with real-time context adaptation and recursive feedback processing. Generative AI & Model Optimization: Fine-t une LLMs/SLMs using proprietary and domain-specific datasets (NBFC, Financial Services, etc.). Apply distillation and quantization for efficient deployment on edge devices. Benchmark LLM/SLM performance on server vs. edge environments for real-time use cases. Speech and Conversational Intelligence: Implement contextual dialogue flows using speech inputs with emotion and intent tracking. Evaluate and deploy advanced Speech-to-Speech (S2S) models for naturalistic voice responses. Work on real-time speaker diarization and multi-turn, multi-party conversation tracking. Voice Biometrics & AI Security: Train and evaluate voice biometric models for secure identity verification. Implement anti-spoofing layers to detect deepfakes, replay attacks, and signal tampering. Ensure compliance with voice data privacy and ethical AI guidelines. Self-Learning & Autonomous Adaptation: Develop frameworks for agents to self-correct and adapt using feedback loops without full retraining. Enable low-footprint learning systems on-device to support personalization on the edge. Ideal Candidate Educational Qualifications: Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience Required: 3–8 years of experience, with a mix of core software development and AI/ML model engineering. Proven hands-on work with Conversational AI, Generative AI, or Multi-Agent Systems. Technical Proficiency: Strong programming in Python, TensorFlow/PyTorch, and model APIs (Hugging Face, LangChain, OpenAI, etc.). Expertise in STT, TTS, S2S, speaker diarization, and speech emotion recognition. LLM fine-tuning, model optimization (quantization, distillation), RAG pipelines. Understanding of agentic frameworks, cognitive architectures, or belief-desire-intention (BDI) models. Familiarity with Edge AI deployment, low-latency model serving, and privacy-compliant data pipelines. Desirable: Exposure to agent-based simulation, reinforcement learning, or behavioralmodeling. Publications, patents, or open-source contributions in conversational AI or GenAI systems. Show more Show less

neoBIM is a well-funded start-up software company revolutionizing the way architects design buildings with our innovative BIM (Building Information Modelling) software. As we continue to grow, we are building a small and talented team of developers to drive our software forward. Tasks We are looking for a highly skilled Generative AI Developer to join our AI team. The ideal candidate should have strong expertise in deep learning, large language models (LLMs), multimodal AI, and generative models (GANs, VAEs, Diffusion Models, or similar techniques) . This role offers the opportunity to work on cutting-edge AI solutions, from training models to deploying AI-driven applications that redefine automation and intelligence. Develop, fine-tune, and optimize Generative AI models , including LLMs, GANs, VAEs, Diffusion Models, and Transformer-based architectures . Work with large-scale datasets and design self-supervised or semi-supervised learning pipelines . Implement multimodal AI systems that combine text, images, audio, and structured data. Optimize AI model inference for real-time applications and large-scale deployment. Build AI-driven applications for BIM (Building Information Modeling), content generation, and automation . Collaborate with data scientists, software engineers, and domain experts to integrate AI into production. Stay ahead of AI research trends and incorporate state-of-the-art methodologies . Deploy models using cloud-based ML pipelines (AWS/GCP/Azure) and edge computing solutions . Requirements Must-Have Skills Strong programming skills in Python (PyTorch, TensorFlow, JAX, or equivalent). Experience in training and fine-tuning Large Language Models (LLMs) like GPT, BERT, LLaMA, or Mixtral . Expertise in Generative AI techniques , including Diffusion Models (e.g., Stable Diffusion, DALL-E, Imagen), GANs, VAEs . Hands-on experience with transformer-based architectures (e.g., Vision Transformers, BERT, T5, GPT, etc.) . Experience with MLOps frameworks for scaling AI applications (Docker, Kubernetes, MLflow, etc.). Proficiency in data preprocessing, feature engineering, and AI pipeline development . Strong background in mathematics, statistics, and optimization related to deep learning. Good-to-Have Skills Experience in NeRFs (Neural Radiance Fields) for 3D generative AI . Knowledge of AI for Architecture, Engineering, and Construction (AEC) . Understanding of distributed computing (Ray, Spark, or Tensor Processing Units). Familiarity with AI model compression and inference optimization (ONNX, TensorRT, quantization techniques) . Experience in cloud-based AI development (AWS/GCP/Azure) . Benefits Work on high-impact AI projects at the cutting edge of Generative AI . Competitive salary with growth opportunities. Access to high-end computing resources for AI training & development. A collaborative, research-driven culture focused on innovation & real-world impact . Flexible work environment with remote options. Show more Show less

Job Description: AI/ML Specialist We are looking for a highly skilled and experienced AI/ML Specialist to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential. Key Responsibilities Develop and maintain web applications using Django and Flask frameworks. Design and implement RESTful APIs using Django Rest Framework (DRF). Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. Build and integrate APIs for AI/ML models into existing systems. Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn. Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases. Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization. Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker. Ensure the scalability, performance, and reliability of applications and deployed models. Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions. Write clean, maintainable, and efficient code following best practices. Conduct code reviews and provide constructive feedback to peers. Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. Required Skills And Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 3+ years of professional experience as a AI/ML Specialist Proficient in Python with a strong understanding of its ecosystem. Extensive experience with Django and Flask frameworks. Hands-on experience with AWS services for application deployment and management. Strong knowledge of Django Rest Framework (DRF) for building APIs. Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. Experience with transformer architectures for NLP and advanced AI solutions. Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with MLOps practices for managing the machine learning lifecycle. Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Skills:- Artificial Intelligence (AI), pandas, Natural Language Processing (NLP), NumPy, Machine Learning (ML), TensorFlow, PyTorch and Python Show more Show less

AI/ML-focused Software Developer with 3+ YOE in SDLC and 1+ year in conversational AI (speech-to-text, emotion recognition, agentic systems). Skilled in fine-tuning LLMs/SLMs, RAG, quantization, and distillation for production use. R & D Required Candidate profile Expert in Python, PyTorch, TensorFlow, Hugging Face, LangChain, OpenAI APIs. Background in agent-based modeling, RL, GenAI. Holds CS/AI degrees with contributions via publications or open-source work.

Company Size Large-scale / Global Experience Required 3 - 5 years Working Days 6 days/week Office Location Viman Nagar, Pune Role & Responsibilities Agentic AI Development: Design and develop multi-agent conversational frameworks with adaptive decision-making capabilities. Integrate goal-oriented reasoning and memory components into agents using transformer-based architectures. Build negotiation-capable bots with real-time context adaptation and recursive feedback processing. Generative AI & Model Optimization: Fine-t une LLMs/SLMs using proprietary and domain-specific datasets (NBFC, Financial Services, etc.). Apply distillation and quantization for efficient deployment on edge devices. Benchmark LLM/SLM performance on server vs. edge environments for real-time use cases. Speech And Conversational Intelligence: Implement contextual dialogue flows using speech inputs with emotion and intent tracking. Evaluate and deploy advanced Speech-to-Speech (S2S) models for naturalistic voice responses. Work on real-time speaker diarization and multi-turn, multi-party conversation tracking. Voice Biometrics & AI Security: Train and evaluate voice biometric models for secure identity verification. Implement anti-spoofing layers to detect deepfakes, replay attacks, and signal tampering. Ensure compliance with voice data privacy and ethical AI guidelines. Self-Learning & Autonomous Adaptation: Develop frameworks for agents to self-correct and adapt using feedback loops without full retraining. Enable low-footprint learning systems on-device to support personalization on the edge. Ideal Candidate Educational Qualifications: Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience Required: 3–8 years of experience, with a mix of core software development and AI/ML model engineering. Proven hands-on work with Conversational AI, Generative AI, or Multi-Agent Systems. Technical Proficiency: Strong programming in Python, TensorFlow/PyTorch, and model APIs (Hugging Face, LangChain, OpenAI, etc.). Expertise in STT, TTS, S2S, speaker diarization, and speech emotion recognition. LLM fine-tuning, model optimization (quantization, distillation), RAG pipelines. Understanding of agentic frameworks, cognitive architectures, or belief-desire-intention (BDI) models. Familiarity with Edge AI deployment, low-latency model serving, and privacy-compliant data pipelines. Desirable: Exposure to agent-based simulation, reinforcement learning, or behavioralmodeling. Publications, patents, or open-source contributions in conversational AI or GenAI systems. Perks, Benefits and Work Culture Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India. Skills: intelligence,python,tensorflow,pytorch,conversational ai,llm fine-tuning,edge ai deployment,optimization,speech,model optimization,llm,speech-to-speech (s2s),privacy-compliant data pipelines,generative ai,speaker diarization,speech emotion recognition,multi-agent systems Show more Show less

We are seeking a skilled Python and SQL Developer to join our dynamic team. The ideal candidate will have a strong background in Python programming and SQL database management. Develop and maintain Python-based applications and scripts. Write efficient SQL queries for data extraction and manipulation. Collaborate with cross-functional teams to gather requirements and deliver solutions. Familiarity with Linux operating systems. Basic understanding of cloud platforms (e.g., AWS, Azure, Google Cloud). Knowledge of Model Quantization and Pruning Experience playing a Data Scientist role Solid development experience in Data Science Arch. Experience in Application Architecture & Design of Java Based Applications Good Knowledge of Architecture and related technologies Experience in Integration Technologies and Architecture Working knowledge of frontend and database technologies Excellent Analytical and Debugging Skills Familiarity with Agile & DevSecOps, Log Analytics, APM Experience in leading the teams technically Experience in requirements gathering, analysis & design and estimation Good communication and articulation skills In-depth knowledge of design issues and best practices Solid understanding of object-oriented programming Familiar with various design, architectural patterns and software development process. Experience with both external and embedded databases Creating database schemas that represent and support business processes Implementing automated testing platforms and unit tests Good verbal and written communication skills Ability to communicate with remote teams in effective manner High flexibility to travel Soft Skills Good verbal & written communication skills – articulate value of AI to business, project managers & other team members Ability to break complex problem into smaller problems and create hypothesis Innovation and experimentation Show more Show less

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary Job Description More Details Below Join the exciting Generative AI team at Qualcomm focused on integrating cutting edge GenAI models on Qualcomm chipsets. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of GenAI models on-device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. Utilize this power efficient hardware and Software stack to run Large Language Models (LLMs) and Large Vision Models (LVM) at near GPU speeds! Responsibilities In this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs. As an AI inferencing expert, you'll push the limits of performance from large models. Your mastery in deploying large C/C++ software stacks using best practices will be essential. You'll stay on the cutting edge of GenAI advancements, understanding LLMs/Transformers and the nuances of edge-based GenAI deployment. Most importantly, your passion for the role of edge in AI's evolution will be your driving force. Requirements Master’s/Bachelor’s degree in computer science or equivalent. 3+ years of relevant work experience in software development. Strong understanding of Generative AI models – LLM, LVM and LLMs and building blocks Floating-point, Fixed-point representations and Quantization concepts. Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU). Strong development skills in C/C++ Excellent analytical and debugging skills. Good communication skills (verbal, presentation, written). Ability to collaborate across a globally diverse team and multiple interests. Preferred Qualifications Strong understanding of SIMD processor architecture and system design. Proficiency in object-oriented software development. Familiarity with Linux and Windows environment Strong background in kernel development for SIMD architectures. Familiarity with frameworks like llama.cpp, MLX, and MLC is a plus. Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred. Experience with parallel computing systems and Assembly is a plus. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3073034 Show more Show less

Strong AI/ML OR Software Developer Profile Mandatory (Experience 1) - Must have 3+ YOE in Core Software Developement (SDLC) Mandatory (Experience 2) - Must have 2+ years of experience in AI/ML, preferably in conversational AI domain (spped to text, text to speech, speech emotional recognition) or agentic AI systems. Mandatory (Experience 3) - Must have hands-on experience in fine-tuning LLMs/SLM, model optimization (quantization, distillation) and RAG Mandatory (Experience 4) - Hands-on Programming experience in Python, TensorFlow, PyTorch and model APIs (Hugging Face, LangChain, OpenAI, etc.) Preferred Preferred (Education) - BTech/MTech in Computer Science, AI/ML, or related fields Preferred (Experience 1) - Exposure to agent-based simulation, reinforcement learning, or behavioral modeling Preferred (Experience 2) - Publications, patents, or open-source contributions in conversational AI or GenAI systems Show more Show less

Position Title : AI/ML Engineer. Company : Cyfuture India Pvt.Ltd. Industry : IT Services and IT Consulting. Location : Sector 81, NSEZ, Noida (5 Days Work From Office). About Cyfuture Cyfuture is a trusted name in IT services and cloud infrastructure, offering state-of-the-art data center solutions and managed services across platforms like AWS, Azure, and VMWare. We are expanding rapidly in system integration and managed services, building strong alliances with global OEMs like VMWare, AWS, Azure, HP, Dell, Lenovo, and Palo Alto. Position Overview We are hiring an experienced AI/ML Engineer to lead and shape our AI/ML initiatives. The ideal candidate will have hands-on experience in machine learning and artificial intelligence, with strong leadership capabilities and a passion for delivering production-ready solutions. This role involves end-to-end ownership of AI/ML projects, from strategy development to deployment and optimization of large-scale systems. Key Responsibilities Lead and mentor a high-performing AI/ML team. Design and execute AI/ML strategies aligned with business goals. Collaborate with product and engineering teams to identify impactful AI opportunities. Build, train, fine-tune, and deploy ML models in production environments. Manage operations of LLMs and other AI models using modern cloud and MLOps tools. Implement scalable and automated ML pipelines (e., with Kubeflow or MLRun). Handle containerization and orchestration using Docker and Kubernetes. Optimize GPU/TPU resources for training and inference tasks. Develop efficient RAG pipelines with low latency and high retrieval accuracy. Automate CI/CD workflows for continuous integration and delivery of ML systems. Key Skills & Expertise Cloud Computing & Deployment : Proficiency in AWS, Google Cloud, or Azure for scalable model deployment. Familiarity with cloud-native services like AWS SageMaker, Google Vertex AI, or Azure ML. Expertise in Docker and Kubernetes for containerized deployments. Experience with Infrastructure as Code (IaC) using tools like Terraform or CloudFormation. Machine Learning & Deep Learning Strong command of frameworks : TensorFlow, PyTorch, Scikit-learn, XGBoost. Experience with MLOps tools for integration, monitoring, and automation. Expertise in pre-trained models, transfer learning, and designing custom architectures. Programming & Software Engineering Strong skills in Python (NumPy, Pandas, Matplotlib, SciPy) for ML development. Backend/API development with FastAPI, Flask, or Django. Database handling with SQL and NoSQL (PostgreSQL, MongoDB, BigQuery). Familiarity with CI/CD pipelines (GitHub Actions, Jenkins). Scalable AI Systems Proven ability to build AI-driven applications at scale. Handle large datasets, high-throughput requests, and real-time inference. Knowledge of distributed computing : Apache Spark, Dask, Ray. Model Monitoring & Optimization Hands-on with model compression, quantization, and pruning. A/B testing and performance tracking in production. Knowledge of model retraining pipelines for continuous learning. Resource Optimization Efficient use of compute resources : GPUs, TPUs, CPUs. Experience with serverless architectures to reduce cost. Auto-scaling and load balancing for high-traffic systems. Problem-Solving & Collaboration Translate complex ML models into user-friendly applications. Work effectively with data scientists, engineers, and product teams. Write clear technical documentation and architecture reports. (ref:hirist.tech) Show more Show less

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. The Role 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. Ideal Profile 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 What's on Offer? Excellent career development opportunities Leadership Role Opportunity to make a positive impact Show more Show less

EXL (NASDAQ: EXLS) is a $7 billion public-listed NASDAQ company and a rapidly expanding global digital data-led AI transformation solutions company with double digit growth. EXL Digital division spearheads the development and implementation of Generative AI (GenAI) business solutions for our clients in Banking & Finance, Insurance, and Healthcare. As a global leader in analytics, digital transformation, and AI innovation, EXL is committed to helping clients unlock the potential of generative AI to drive growth, efficiency, and innovation. Job Summary We are seeking a highly skilled AI/ML Engineer - Generative AI to design, develop, and deploy production-grade AI systems and agentic applications. The ideal candidate will have a strong background in Python 3.11+, deep learning, large language models, and distributed systems, with experience building performant, clean, and scalable services. Key Responsibilities Build and maintain high-performance REST/WebSocket APIs using FastAPI (Pydantic v2). Implement and optimize agentic AI systems using LangGraph, AutoGen, and LangChain. Architect real-time event-driven microservices using Apache Kafka 4.0 and KRaft. Design clean, testable services using SOLID principles, Python async, and type hints. Integrate vector databases like Pinecone and Weaviate for embedding storage and retrieval. Implement graph databases like Neo4j for knowledge graph-based use cases. Manage experiment tracking and model lifecycle using MLflow 3.0 or Weights & Biases. Build and deploy containers using Docker, GitHub Actions, and Kubernetes (nice-to-have). Maintain CI/CD pipelines and infrastructure as code with Git and optionally Terraform. Stay current with trends in GenAI, deep learning, and orchestration frameworks. Minimum Qualifications Bachelor's degree in computer science, Data Science, or related field. 5+ years of experience in AI/ML engineering with focus on LLMs and NLP. 2–3 years of hands-on experience with GenAI and LLMs (e.g., GPT, Claude, LLaMA3). Proficiency in Python 3.11+ (async, typing, OOP, SOLID principles). Experience with FastAPI, Pydantic v2, PyTorch 2.x, Hugging Face Transformers. Working knowledge of agentic frameworks like LangChain, LangGraph, or AutoGen. Experience building REST/WebSocket APIs and microservices with Kafka streams. Proficient in SQL, Pandas, and NumPy for data manipulation. Preferred Qualifications Master’s or PhD degree in Computer Science, Data Science, or related field. Familiarity with Graph DBs such as Neo4j for knowledge graphs. Experience with Vector DBs like Pinecone, Weaviate. Proficiency in MLflow 3.0 or Weights & Biases for experiment tracking. Experience with CI/CD pipelines, containerization (Docker), and orchestration (K8s) and automated deployment workflows. Exposure to Infrastructure as Code (IaC) using Terraform. Knowledge of advanced optimization, quantization, and fine-tuning techniques. Skills and Competencies Proven ability to architect GenAI solutions and multi-agent systems. Strong testing skills (unit, integration, performance). Excellent communication and cross-functional collaboration. Strong analytical and problem-solving skills. Leadership and mentoring capability for engineering teams. Show more Show less

YOE- 3 to 5 Yrs Location - Pune Role & Responsibilities Agentic AI Development: Design and develop multi-agent conversational frameworks with adaptive decision-making capabilities. Integrate goal-oriented reasoning and memory components into agents using transformer-based architectures. Build negotiation-capable bots with real-time context adaptation and recursive feedback processing. Generative AI & Model Optimization: Fine-t une LLMs/SLMs using proprietary and domain-specific datasets (NBFC, Financial Services, etc.). Apply distillation and quantization for efficient deployment on edge devices. Benchmark LLM/SLM performance on server vs. edge environments for real-time use cases. Speech and Conversational Intelligence: Implement contextual dialogue flows using speech inputs with emotion and intent tracking. Evaluate and deploy advanced Speech-to-Speech (S2S) models for naturalistic voice responses. Work on real-time speaker diarization and multi-turn, multi-party conversation tracking. Voice Biometrics & AI Security: Train and evaluate voice biometric models for secure identity verification. Implement anti-spoofing layers to detect deepfakes, replay attacks, and signal tampering. Ensure compliance with voice data privacy and ethical AI guidelines. Self-Learning & Autonomous Adaptation: Develop frameworks for agents to self-correct and adapt using feedback loops without full retraining. Enable low-footprint learning systems on-device to support personalization on the edge. Ideal Candidate Educational Qualifications: Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience Required: 3–8 years of experience, with a mix of core software development and AI/ML model engineering. Proven hands-on work with Conversational AI, Generative AI, or Multi-Agent Systems. Technical Proficiency: Strong programming in Python, TensorFlow/PyTorch, and model APIs (Hugging Face, LangChain, OpenAI, etc.). Expertise in STT, TTS, S2S, speaker diarization, and speech emotion recognition. LLM fine-tuning, model optimization (quantization, distillation), RAG pipelines. Understanding of agentic frameworks, cognitive architectures, or belief-desire-intention (BDI) models. Familiarity with Edge AI deployment, low-latency model serving, and privacy-compliant data pipelines. Desirable: Exposure to agent-based simulation, reinforcement learning, or behavioralmodeling. Publications, patents, or open-source contributions in conversational AI or GenAI systems. Perks, Benefits and Work Culture Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India. Show more Show less

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary Job Overview: The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market. We are seeking ambitious, bright, and innovative engineers with experience in machine learning framework development. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction daily so good communication, planning and execution skills are a must. We are seeking a highly skilled and motivated Language Model Engineer to join our team. The primary role of the engineer will be to train Large Language Models (LLMs) from scratch and fine-tune existing LLMs on various datasets using state-of-the-art techniques. Responsibilities Model Training and Fine-tuning: Train LLMs from scratch using various datasets. Fine-tune pre-trained models on specific tasks or datasets to improve performance. Implement state-of-the-art LLM training techniques such as Reinforcement Learning from Human Feedback (RLHF), ZeRO (Zero Redundancy Optimizer), Speculative Sampling, and other speculative techniques. Data Management: Handle large datasets effectively. Ensure data quality and integrity. Implement data cleaning and preprocessing techniques. Hands-on with EDA is a plus. Model Evaluation: Evaluate model performance using appropriate metrics. Understand the trade-offs between different evaluation metrics. LLM metrics: Sound understanding of various LLM metrics like MMLU, Rouge, BLEU, Perplexity etc. AWQ: Understanding of Quantization is a plus. Knowledge on QAT will be a plus. Research and Development: Stay updated with the latest research in NLP and LLMs. Implement state-of-the-art techniques and contribute to research efforts. Collaboration: Work closely with other teams to understand requirements and implement solutions. Required Skills And Experience Deep Learning Frameworks: Hands-on experience with PyTorch at a granular level. Familiarity with tensor operations, automatic differentiation, and GPU acceleration in PyTorch. NLP and LLMs: Strong understanding of Natural Language Processing (NLP) and experience working with LLMs. Programming: Proficiency in Python and experience with software development best practices. Data Handling: Experience working with large datasets. Familiarity with data version control tools is a plus. Education: A degree in Computer Science, Machine Learning, AI, or related field. Advanced degree is a plus. Communication: Excellent written and verbal communication skills. Work experience : Open, 2 – 10 years of relevant experience. Preferred Skills Optimization: Knowledge of optimization techniques for training large models. Neural Architecture Search (NAS): Experience with NAS techniques for optimizing model architectures is a plus. Hands-on experience with CUDA, CUDNN is a plus. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3075570 Show more Show less

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Qualcomm's Corporate Engineering division in Chennai is looking for software tools development engineer. The candidate will work in a development role to put together software for tool development and test automation across various technologies that are part of Access points, mobile platform, RF, Machine learning platforms. The candidate is expected to have full proficiency on C++ or C# or Python and have experience on developing applications, APIs, software automation using a combination of commercial test equipment and custom hardware designs. The ideal candidate will be responsible for implementing novel test plans and supporting those test plans from the R&D lab environment through manufacturing. Candidate will also be responsible for evaluating new complex hardware designs and providing feedback regarding design for testability. Candidate will be responsible to own the test infrastructure, build automation framework and enable other developers towards achieving deployable, scalable test frameworks. Candidate will be responsible for implementing automated test solutions for those hardware designs using a combination of custom test software/hardware and commercial test equipment. The candidate will interface with internal staff and outside partners in the fast-paced execution of a variety of multi-disciplined projects. The candidate will have an opportunity to influence and help adopt new test, tool development methodologies and enhance existing processes. International travel might be required. All Qualcomm employees are expected to actively support diversity on their teams, and in the Company. Minimum Qualifications: B.E/B.Tech. with industry experience in the following areas: 2+ years of programming experience across C++ / C# / Python Strong lab skills and experience with standard lab equipment is required Strong experience in various software technologies, methodologies and applied software engineering practices/standards such as Object-Oriented Design (OOD), cloud and embedded software test automation Preferred Qualifications: Strong programming skills in C++/C# Experience with embedded software and device drivers Application UI design Winforms/WPF Experience with hardware debug equipment such as JTAG and scope Experience with scripting languages (Perl, Python etc.) Familiarity with AI frameworks models performance, quantization, and accuracy metrics Good analytical, debug and problem-solving abilities Good communication skills and ability to work in a cross-functional team environment Effectively delegates tasks to other team members, multitasks and meets aggressive schedules in a dynamic environment. FPGA/CPLD design, JTAG/boundary scan Experience with RF test equipment measurements such as signal generator and spectrum analyzer and HW/SW issue troubleshooting Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Education Requirements: Required: B.E. or B.Tech. in Electronics and Communication or Electrical engineering or Computer Science or equivalent. Preferred: Masters Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3075902 Show more Show less

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: More details below: Join the exciting Generative AI team at Qualcomm focused on integrating cutting edge GenAI models on Qualcomm chipsets. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of GenAI models on-device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. Utilize this power efficient hardware and Software stack to run Large Language Models (LLMs) and Large Vision Models (LVM) at near GPU speeds! Responsibilities: In this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs. As an AI inferencing expert, you'll push the limits of performance from large models. Your mastery in deploying large C/C++ software stacks using best practices will be essential. You'll stay on the cutting edge of GenAI advancements, understanding LLMs/Transformers and the nuances of edge-based GenAI deployment. Most importantly, your passion for the role of edge in AI's evolution will be your driving force. Minimum Qualifications: Bachelor’s degree in engineering, Computer Science, or related field and 10+ years of Systems Engineering or related work experience. OR Master’s degree in engineering, Computer Science, or related field and 9+ years of Systems Engineering or related work experience. Requirements: Strong understanding of Generative AI models – LLM, LVM, LMMs and building blocks (self-attention, cross attention, KV caching etc.) Floating-point, Fixed-point representations and Quantization concepts. Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU). Hands-on experience in C/C++ programming, Design Patterns and OS concepts. Excellent analytical and debugging skills. Exposure to shell scripts, python scripts, understanding of Linux/Windows systems and automation scripts/environment. Good communication skills, presentation skills and should manage his/her tasks independently. Ability to collaborate across a globally diverse team and multiple interests. Preferred Qualifications Strong understanding of SIMD processor architecture and system design. Proficiency in object-oriented software development and familiarity Familiarity with Linux and Windows environment Strong background in kernel development for SIMD architectures. Familiarity with frameworks like llama.cpp, MLX, and MLC is a plus. Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred. Experience with parallel computing systems and languages like OpenCL and CUDA is a plus Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3073180 Show more Show less

Redefine the future of customer experiences. One conversation at a time. We’re changing the game with a first-of-its-kind, conversation-centric platform that unifies team collaboration and customer experience in one place. Powered by AI, built by amazing humans. Our culture is forward-thinking, customer-obsessed and built on an unwavering belief that connection fuels business and life; connections to our customers with our signature Amazing Service®, our products and services, and most importantly, each other. Since 2008, 100,000+ companies and 1M+ users rely on Nextiva for customer and team communication. If you’re ready to collaborate and create with amazing people, let your personality shine and be on the frontlines of helping businesses deliver amazing experiences, you’re in the right place. Build Amazing - Deliver Amazing - Live Amazing - Be Amazing We are seeking a talented and experienced AI/NLP Engineer to join our dynamic team. The ideal candidate will have a strong background in Artificial Intelligence (AI) , Natural Language Processing (NLP) and Machine Learning (ML) , with proven expertise in fine-tuning, deploying, and optimizing state-of-the-art NLP models. This role demands a hands-on approach to designing, developing, and integrating NLP solutions tailored to solve complex business challenges. If you are passionate about cutting-edge AI, have a knack for deploying scalable models in production environments, and enjoy collaborating with cross-functional teams, we’d love to hear from you! Key Responsibilities Model Development and Fine-tuning: Customize, fine-tune, and optimize open-source NLP models (e.g., LSTM/RNN based, Transformer-based, Conformer-based, and VITS architecture) using transfer learning. Develop and train models from scratch when needed to address specific business challenges. Generative AI & Prompt Engineering: Design effective prompts for generative AI tasks to meet diverse user and business requirements. Build similarity models (e.g., symmetric/asymmetric - gte, bge, Mini-LM) using BERT, XLNET, and cross-encoders for LLM-based Retrieval-Augmented Generation (RAG) use cases. Model Deployment & Optimization: Deploy models at scale using Docker, Kubernetes, and cloud platforms like AWS. Optimize models for performance using techniques such as vLLM (Paged Attention), quantization, and adapter-based fine-tuning - LoRA, QLoRA. Performance Monitoring and Enhancement: Continuously evaluate and enhance model performance to ensure accuracy, scalability, and minimal latency. Build pipelines for data preprocessing, model serving, and monitoring using tools like Airflow and AWS Batch. Collaboration: Work closely with data scientists, software engineers, and product teams to integrate NLP models seamlessly into business applications. Required Skills NLP & Machine Learning: 3+ years of experience in NLP, with expertise in fine-tuning, transfer learning, and developing custom models. Hands-on experience in ASR, TTS, or custom language model architectures (e.g., Auto-regressive transformers, RWKV). Generative AI & Prompt Engineering: Proficiency in designing and crafting prompts for generative AI models aligned with business use cases. Programming Skills: Strong proficiency in Python, with experience in implementing NLP models and building pipelines. Model Deployment: Hands-on experience with Docker, Kubernetes, and cloud-based deployment on platforms such as AWS. Deep Learning Frameworks: Proficiency with TensorFlow, PyTorch, and libraries like Hugging Face Transformers, NLTK, SpaCy, and Gensim. Bonus Skills MLOps & Cloud Services: Experience with AWS (Lambda, Step Functions, Batch), GCP, Azure, or Nemo for model deployment and pipeline management. Large-Scale Deployments: Expertise in scaling AI models and managing SLAs for real-world applications. Preferred Qualifications Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or a related field. Proven track record of working with large datasets and creating robust pipelines for data ingestion and preprocessing. Strong understanding of neural networks and advanced deep learning architectures for NLP. Total Rewards Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office. Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses. Medical 🩺 – Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity. Group Term & Group Personal Accident Insurance 💼 - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means. Coverage Type - Employee Only Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000 Free Cover Limit - 1.5 Crore Work-Life Balance ⚖️ - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays Financial Security💰 - Provident Fund & Gratuity Wellness 🤸‍ - Employee Assistance Program and comprehensive wellness initiatives Growth 🌱 - Access to ongoing learning and development opportunities and career advancement At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career! Established in 2008 and headquartered in Scottsdale, Arizona, Nextiva secured $200M from Goldman Sachs in late 2021, valuing the company at $2.7B.To check out what’s going on at Nextiva, check us out on Instagram, Instagram (MX), YouTube, LinkedIn, and the Nextiva blog. Show more Show less

Redefine the future of customer experiences. One conversation at a time. We’re changing the game with a first-of-its-kind, conversation-centric platform that unifies team collaboration and customer experience in one place. Powered by AI, built by amazing humans. Our culture is forward-thinking, customer-obsessed and built on an unwavering belief that connection fuels business and life; connections to our customers with our signature Amazing Service®, our products and services, and most importantly, each other. Since 2008, 100,000+ companies and 1M+ users rely on Nextiva for customer and team communication. If you’re ready to collaborate and create with amazing people, let your personality shine and be on the frontlines of helping businesses deliver amazing experiences, you’re in the right place. Build Amazing - Deliver Amazing - Live Amazing - Be Amazing We are seeking a talented and experienced AI/NLP Engineer to join our dynamic team. The ideal candidate will have a strong background in Artificial Intelligence (AI) , Natural Language Processing (NLP) and Machine Learning (ML) , with proven expertise in fine-tuning, deploying, and optimizing state-of-the-art NLP models. This role demands a hands-on approach to designing, developing, and integrating NLP solutions tailored to solve complex business challenges. If you are passionate about cutting-edge AI, have a knack for deploying scalable models in production environments, and enjoy collaborating with cross-functional teams, we’d love to hear from you! Key Responsibilities Model Development and Fine-tuning: Customize, fine-tune, and optimize open-source NLP models (e.g., Transformer-based, Conformer-based, and VITS architecture) using transfer learning. Develop and train models from scratch when needed to address specific business challenges. Generative AI & Prompt Engineering: Design effective prompts for generative AI tasks to meet diverse user and business requirements. Build similarity models (e.g., symmetric/asymmetric) using BERT, XLNET, and cross-encoders for LLM-based Retrieval-Augmented Generation (RAG) use cases. Model Deployment & Optimization: Deploy models at scale using Docker, Kubernetes, and cloud platforms like AWS. Optimize models for performance using techniques such as vLLM (Paged Attention), quantization, and adapter-based fine-tuning - LoRA, QLoRA. Performance Monitoring and Enhancement: Continuously evaluate and enhance model performance to ensure accuracy, scalability, and minimal latency. Build pipelines for data preprocessing, model serving, and monitoring using tools like Airflow and AWS Batch. Collaboration: Work closely with data scientists, software engineers, and product teams to integrate NLP models seamlessly into business applications. Required Skills NLP & Machine Learning: 6+ years of experience in NLP, with expertise in fine-tuning, transfer learning, and developing custom models. Hands-on experience in ASR, TTS, or custom language model architectures (e.g., Auto-regressive transformers, RWKV). Generative AI & Prompt Engineering: Proficiency in designing and crafting prompts for generative AI models aligned with business use cases. Programming Skills: Strong proficiency in Python, with experience in implementing NLP models and building pipelines. Model Deployment: Hands-on experience with Docker, Kubernetes, and cloud-based deployment on platforms such as AWS. Deep Learning Frameworks: Proficiency with TensorFlow, PyTorch, and libraries like Hugging Face Transformers, NLTK, SpaCy, and Gensim. Bonus Skills MLOps & Cloud Services: Experience with AWS (Lambda, Step Functions, Batch), GCP, Azure, or Nemo for model deployment and pipeline management. Large-Scale Deployments: Expertise in scaling AI models and managing SLAs for real-world applications. Preferred Qualifications Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or a related field. Proven track record of working with large datasets and creating robust pipelines for data ingestion and preprocessing. Strong understanding of neural networks and advanced deep learning architectures for NLP. Total Rewards Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office. Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses. Medical 🩺 - Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity. Group Term & Group Personal Accident Insurance 💼 - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means. Coverage Type - Employee Only Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000 Free Cover Limit - 1.5 Crore Work-Life Balance ⚖️ - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays Financial Security💰 - Provident Fund & Gratuity Wellness 🤸‍ - Employee Assistance Program and comprehensive wellness initiatives Growth 🌱 - Access to ongoing learning and development opportunities and career advancement At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career! Established in 2008 and headquartered in Scottsdale, Arizona, Nextiva secured $200M from Goldman Sachs in late 2021, valuing the company at $2.7B.To check out what’s going on at Nextiva, check us out on Instagram, Instagram (MX), YouTube, LinkedIn, and the Nextiva blog. Show more Show less

Key Responsibilities : ● Develop and maintain web applications using Django and Flask frameworks. ● Design and implement RESTful APIs using Django Rest Framework (DRF). ● Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. ● Build and integrate APIs for AI/ML models into existing systems. ● Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn. ● Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases. ● Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization. ● Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker. ● Ensure the scalability, performance, and reliability of applications and deployed models. ● Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions. ● Write clean, maintainable, and efficient code following best practices. ● Conduct code reviews and provide constructive feedback to peers. ● Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. Required Skills and Qualifications : ● Master’s degree in Computer Science, Engineering, or a related field. ● 2+ years of professional experience as a Python Developer. ● Proficient in Python with a strong understanding of its ecosystem. ● Extensive experience with Django and Flask frameworks. ● Hands-on experience with AWS services for application deployment and management. ● Strong knowledge of Django Rest Framework (DRF) for building APIs. ● Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. ● Experience with transformer architectures for NLP and advanced AI solutions. ● Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). ● Familiarity with MLOps practices for managing the machine learning lifecycle. ● Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. ● Excellent problem-solving skills and the ability to work independently and as part of a team. Show more Show less

Technical Expertise : (minimum 2 year relevant experience) ● Solid understanding of Generative AI models and Natural Language Processing (NLP) techniques, including Retrieval-Augmented Generation (RAG) systems, text generation, and embedding models. ● Exposure to Agentic AI concepts, multi-agent systems, and agent development using open-source frameworks like LangGraph and LangChain. ● Hands-on experience with modality-specific encoder models (text, image, audio) for multi-modal AI applications. ● Proficient in model fine-tuning, prompt engineering, using both open-source and proprietary LLMs. ● Experience with model quantization, optimization, and conversion techniques (FP32 to INT8, ONNX, TorchScript) for efficient deployment, including edge devices. ● Deep understanding of inference pipelines, batch processing, and real-time AI deployment on both CPU and GPU. ● Strong MLOps knowledge with experience in version control, reproducible pipelines, continuous training, and model monitoring using tools like MLflow, DVC, and Kubeflow. ● Practical experience with scikit-learn, TensorFlow, and PyTorch for experimentation and production-ready AI solutions. ● Familiarity with data preprocessing, standardization, and knowledge graphs (nice to have). ● Strong analytical mindset with a passion for building robust, scalable AI solutions. ● Skilled in Python, writing clean, modular, and efficient code. ● Proficient in RESTful API development using Flask, FastAPI, etc., with integrated AI/ML inference logic. ● Experience with MySQL, MongoDB, and vector databases like FAISS, Pinecone, or Weaviate for semantic search. ● Exposure to Neo4j and graph databases for relationship-driven insights. ● Hands-on with Docker and containerization to build scalable, reproducible, and portable AI services. ● Up-to-date with the latest in GenAI, LLMs, Agentic AI, and deployment strategies. ● Strong communication and collaboration skills, able to contribute in cross-functional and fast-paced environments. Bonus Skills ● Experience with cloud deployments on AWS, GCP, or Azure, including model deployment and model inferencing. ● Working knowledge of Computer Vision and real-time analytics using OpenCV, YOLO, and similar Job Type: Full-time Pay: From ₹300,000.00 per year Schedule: Day shift Experience: AI Engineer: 1 year (Required) Work Location: In person Expected Start Date: 23/06/2025

We're not your average tech company! Rightcrowd is a global leader in keeping people safe and organizations secure. We build smart solutions that manage who's on-site, what access they have, and ensure everything is compliant. Think big names – Fortune 50 and ASX 10 companies rely on us to tackle their toughest security challenges. We're a passionate, global team with offices in places like Australia, the USA, Belgium, India, and the Philippines, and we're on a mission to make the world a safer place, one clever line of code at a time. What We Offer Competitive salary and benefits. A collaborative, respectful, and high-accountability team culture. Opportunities for growth within a global finance team. Flexibility in a remote-friendly and dynamic work environment. Key Responsibilities: 1. Agentic AI Development & Code Generation: Design, implement, and lead the development of an advanced agentic AI system that can interpret user stories and autonomously generate production-ready code Research and implement state-of-the-art techniques in LLM prompting, fine-tuning, and orchestration to achieve optimal code generation results Architect robust evaluation systems to test, validate, and improve AI-generated code Seamlessly integrate AI-generated code into existing CI/CD pipelines Collaborate with product and engineering teams to refine inputs and ensure alignment with development standards 2. AI Recommendation Engine Architecture: Architect a high-performance, scalable recommendation engine for the RightCrowd SmartAccess platform Design and implement AI-driven feature extraction pipelines Develop hybrid recommendation algorithms leveraging both collaborative filtering and content- based approaches Engineer systems for real-time inference and continuous model improvement Ensure the architecture integrates seamlessly with existing product infrastructure 3. Natural Language Reporting System Development: Lead the end-to-end development of an AI-powered reporting system that translates natural language queries to SQL Engineer robust NLP components to accurately understand and parse user requests Build a reliable translation layer between natural language and database queries Implement data retrieval, processing, and presentation mechanisms Design systems for generating insights and visualizations from retrieved data• Ensure appropriate data security and access controls 4. Technical Leadership & Innovation: Provide architectural guidance across AI initiatives within the organization Design scalable, maintainable AI systems with consideration for cloud infrastructure and MLOps best practices Stay at the forefront of advancements in LLMs, agentic AI, and code generation technologies Mentor junior engineers and foster a culture of AI innovation Collaborate effectively with cross-functional teams Required Qualifications & Skills: Master's or Ph.D. in Computer Science, AI, or related field (or equivalent practical experience) 5+ years of experience building production-level AI systems with significant focus on LLMs and generative AI Demonstrated expertise in Python and modern AI frameworks (PyTorch, TensorFlow, Hugging Face Transformers) Extensive experience with LLM orchestration frameworks (LangChain, LangGraph, or similar) Proven track record designing and implementing agentic AI systems Strong proficiency in prompt engineering, fine-tuning, and optimization of LLMs Expert-level SQL skills and experience with database systems Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services Solid understanding of software engineering principles and best practices Experience with MLOps and CI/CD pipelines for AI systems Preferred Qualifications: Experience developing systems that generate production-ready code Familiarity with retrieval-augmented generation (RAG) techniques Experience with vector databases (Pinecone, Weaviate, etc.) Knowledge of containerization technologies (Docker, Kubernetes) Experience with model optimization, quantization, and efficient inference Contributions to open-source AI projects or research publications Familiarity with physical security or identity access management domains Experience implementing AI systems with strong security and governance controls This position offers the opportunity to work at the forefront of AI engineering, developing systems that not only generate code but also function autonomously to deliver real business

Position: AI/ML Engineer (VFX Workflow & Infrastructure) Location: Hyderabad, India Role Overview The AI/ML Engineer will spearhead the development and integration of artificial intelligence and machine learning solutions into our VFX production pipeline. You’ll work closely with pipeline developers, production managers, and creative teams to reimagine workflows, automate repetitive tasks, and push the boundaries of innovation in photorealistic rendering, stylized animation, and other CGI processes. This role combines deep technical expertise with a strong understanding of the demands of a fast-paced VFX/animation studio. Key Responsibilities AI Strategy & Roadmap: Develop and maintain a strategic plan for implementing AI/ML across the VFX pipeline—covering data wrangling, rendering, asset management, animation, and post-production. Identify new approaches to innovate current workflows to increase efficiency and cut down on time. Algorithm & Model Development: Research, design, and implement ML models (e.g., computer vision, generative models, style transfer) that improve artist efficiency, production speed, enhance image quality, or enable new creative possibilities. Optimize models for performance on local GPU/CPU clusters or cloud-based infrastructures. Pipeline Integration & Automation: Collaborate with pipeline engineers to seamlessly integrate AI agents or tools into existing software stacks (e.g., Maya, Houdini, Nuke), ensuring minimal disruption to artists’ workflows. Develop automated solutions for tasks like rotoscoping, clean-up, crowd simulation, environment generation, or facial capture/animation. Infrastructure & Tooling: Architect and maintain robust data pipelines, ensuring the secure collection and organization of high-quality datasets for training AI models. Evaluate and deploy containerization/MLOps tools (Docker, Kubernetes, MLflow, etc.) for scalable model training, inference, and monitoring. Performance Optimization: Profile model performance, memory usage, and render times; implement optimizations in frameworks such as TensorFlow, PyTorch, or custom GPU pipelines. Work with DevOps/IT teams to configure and manage dedicated GPU farms or cloud compute resources. Research & Development: Stay updated with state-of-the-art ML/DL techniques, particularly in generative AI, computer vision, and real-time rendering. Introduce emerging methods (e.g., stable diffusion, large language models, neural rendering) to innovate new production techniques. Documentation & Reporting: Create clear technical documentation for AI solutions, ensuring maintainability and scalability. Present progress, insights, and ROI to executive leadership, project stakeholders, and cross-functional teams. Qualifications & Skills Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field. A PhD is a bonus but not mandatory. 5+ years of professional experience in applied machine learning or data science, with at least 2 years in a lead/managerial role. Previous experience in VFX, animation, gaming, or related entertainment industries is a bonus. Programming: Expert-level Python (C++ is a plus). ML Frameworks: Deep understanding of TensorFlow, PyTorch, scikit-learn, or similar libraries. Computer Vision & Generative Models: Familiarity with CNNs, GANs, autoencoders, stable diffusion, or neural radiance fields. Pipeline Tools: Experience with integration in VFX software (Maya, Houdini, Nuke) and plugin APIs.[Optional] DevOps & MLOps: Comfortable with containerization (Docker), orchestration (Kubernetes), CI/CD, and cloud platforms (AWS, Azure, GCP). Proven track record of translating production challenges into AI/ML solutions that deliver measurable efficiency gains or cost savings. Experience with model optimization (quantization, pruning) and GPU/CPU performance tuning. Collaboration: Excellent communication to bridge technical and creative teams, explaining complex concepts in clear, accessible language. Leadership: Ability to mentor junior engineers and foster a culture of experimentation and continuous learning. Agility: Adapts quickly to evolving project needs, production pipelines, and new AI techniques. A genuine interest in cinema, animation, or gaming—a plus if you have prior knowledge of the Baahubali IP or similar large-scale IPs. Creativity in applying AI to artistic challenges, from photorealistic digital humans to stylized animated sequences. What We Offer Impactful Role: Shape the future of VFX and animation filmmaking and leave a lasting mark on flagship studio projects. Career Growth: Lead a growing AI team, collaborate with top-tier VFX artists, and gain exposure to cutting-edge tech. Competitive Compensation: Salary, benefits, and potential for performance-based bonuses. Innovative Environment: Access to advanced hardware, robust R&D budget, and the opportunity to experiment with emerging AI trends. Show more Show less

Company : Chicmic Studios. Job Role : Python Machine Learning & AI Developer. Experience Required : 3 years to 5+ Years. We are looking for a highly skilled and experienced Python Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, Tensor Flow, and transformer architectures are essential. Key Responsibilities Develop and maintain web applications using Django and Flask frameworks. Design and implement RESTful APIs using Django Rest Framework (DRF). Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. Build and integrate APIs for AI/ML models into existing systems. Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn. Implement transformer architectures (e.g, BERT, GPT) for NLP and other advanced AI use cases. Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization. Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker. Ensure the scalability, performance, and reliability of applications and deployed models. Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions. Write clean, maintainable, and efficient code following best practices. Conduct code reviews and provide constructive feedback to peers. Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. Required Skills And Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 3+ years of professional experience as a Python Developer. Proficient in Python with a strong understanding of its ecosystem. Extensive experience with Django and Flask frameworks. Hands-on experience with AWS services for application deployment and management. Strong knowledge of Django Rest Framework (DRF) for building APIs. Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. Experience with transformer architectures for NLP and advanced AI solutions. Solid understanding of SQL and NoSQL databases (e.g, PostgreSQL, MongoDB). Familiarity with MLOps practices for managing the machine learning lifecycle. Basic knowledge of front-end technologies (e.g, JavaScript, HTML, CSS) is a plus. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. (ref:hirist.tech) Show more Show less