54 Decoder Jobs

Job Description Protocol / Embedded Engineers Designing / implementing efficient binary TCP protocols Parse well defined binary message streams, real-time override signaling Experience with protocol stacks or gateways Edge Runtime / Systems Engineers Strong Go developer for low-latency runtime logic and sub-second control Rust / C is a strong plus for low-level and performance-critical components Deterministic state machines, fallback logic, event replay Resilient execution without cloud reliance (ZeroMQ, disk-buffered logs, protobuf) Infra / Deployment Engineers Distributed Linux server deployment, containerization (Podman / Docker) Chaos injection, degraded-mode ops, edge observability tooling Telemetry / Decoder Developers Custom binary stream decoding, delta-compression, ingestion pipeline design TimescaleDB or equivalent high-ingest time-series DB experience Grid & Energy Integration (Bonus) Familiarity with any power markets / low latency trading ops Able to validate edge-level command compliance with grid requirements Electric Vehicle / Batteries / Chargers integrations (APIs) Ideal Profiles Strong Go developer with systems-level mindset (low-level, robust, and performance-driven) Experience building mission-critical Linux systems (offline-capable, highly available, failure-resilient) Hands-on builder: creating code & simplistic infra, builds devops tools from scratch Comfortable with TCP/IP-level debugging, binary protocols, and runtime determinism Bonus for Rust or C experience (ideal for low-level runtime contributions) Willing to write Python when pragmatically useful (e.g., scripts, integrations) Prefers simplicity and correctness over abstraction bloat (thrives in minimal, self-contained systems) Less of Interested Cloud-only developers Web/frontend engineers Generalists without real-time, protocol or edge runtime experience Staff Engineers or managers who don’t write code or build systems directly Candidates not spending at least 30% of time on hands-on engineering and devops (more of a doer, less of a manager) Mandatory Skills: GO+Rust

🧠 NLP Expert – Researcher/Engineer 📅 Experience: 3–4 years 💰 Salary Range: ₹15 – ₹30 LPA About the Role We are seeking an experienced NLP Expert – Researcher/Engineer to lead the design and pretraining of advanced transformer-based language models from scratch using sequential, structured data. This role demands a deep understanding of transformer architectures , strong command over the Hugging Face ecosystem , and the ability to convert complex, real-world time-series or geospatial data into meaningful natural language outputs. You'll be working on cutting-edge applications that require bridging non-traditional inputs with natural language generation in a production-ready environment. Responsibilities Architect and pretrain encoder-decoder transformer models (e.g., BERT, GPT, T5) from scratch using structured, sequential datasets. Design pipelines that convert non-textual data—such as spatial, temporal, or sensor-based signals—into NLP-compatible formats. Build end-to-end systems that generate natural language descriptions, summaries, or narratives from raw structured inputs. Apply rigorous model evaluation strategies and optimize for downstream language generation tasks. Collaborate across functions with data engineers, domain specialists, and product teams to deliver production-ready solutions. Stay abreast of and incorporate the latest research in NLP, pretraining strategies, and model efficiency. Required Skills & Experience 3–4 years of hands-on experience in Natural Language Processing and deep learning . Strong expertise in Transformer-based architectures and foundational NLP theory. Proven experience in pretraining language models from scratch , not just fine-tuning existing ones. Advanced proficiency in Python , with experience in PyTorch , TensorFlow , and the Hugging Face Transformers & Datasets libraries . Familiarity with sequential, time-series, or geospatial data , and how to integrate such data into NLP pipelines. Experience with data preprocessing , including transforming unconventional inputs into model-compatible formats. Strong problem-solving, communication, and cross-functional collaboration skills. Bonus Points For Experience in multimodal modeling (e.g., combining text, time, and spatial inputs). Knowledge of MLOps , model optimization , and deployment workflows . Contributions to open-source NLP projects or publications in peer-reviewed ML/NLP conferences. Why Join Us? This is your opportunity to shape how machines interpret and articulate real-world, structured data through language. If you’re passionate about building from the ground up and redefining what’s possible with NLP, we want to hear from you.

#CMS is urgently #hiring for the position of Senior Security Analyst- #SOCLead . If you are an immediate joiner and interested in this opportunity, please share your resume at salma.saifi@cmsitservices.com . Experience - 4 Years+ in SOC Location - Ghaziabad Key Responsibilities: Continuously monitor security alerts, incidents, and health dashboards. Investigate security alerts and ensure closure by coordinating with the concerned teams. Analyze and report on bad reputation IPs; forward findings to the network team for appropriate blocking. Develop and customize reports, rules, and dashboards as per client requirements. Create and tune incident alert rules in the SIEM platform. Integrate various security devices and log sources into the SIEM (e.g., firewalls, routers, servers). Perform fine-tuning of security alerts to reduce false positives and improve detection accuracy. Monitor and manage SIEM storage components such as Archiver. Maintain connectivity checks of all RSA NetWitness components (Log Decoder, Concentrator, ESA, etc.). Backup logs from cold storage to virtual machines (VMs) as per retention policy. Ensure the integrity, availability, and confidentiality of event and log data. Provide end-to-end resolution for HPSM (HP Service Manager) tickets. . Knowledge of network security, IP reputation, and attack vectors. Familiar with HPSM or other ITSM tools for ticket lifecycle management. Tools & Technologies: RSA NetWitness SIEM HPSM or ITSM Tools Security Dashboards and Reporting Tools Cold Storage Backup Systems Network Threat Intelligence Platforms Thanks and regards Salma Saifi

About the Role: We are seeking a highly experienced Voice AI /ML Engineer to lead the design and deployment of real-time voice intelligence systems. This role focuses on ASR, TTS, speaker diarization, wake word detection, and building production-grade modular audio processing pipelines to power next-generation contact centre solutions, intelligent voice agents, and telecom-grade audio systems. You will work at the intersection of deep learning, streaming infrastructure, and speech/NLP technology, creating scalable, low-latency systems across diverse audio formats and real-world applications. Key Responsibilities: Voice & Audio Intelligence:  Build, fine-tune, and deploy ASR models (e.g., Whisper, wav2vec2.0, Conformer) for real-time transcription.  Develop and finetune high-quality TTS systems using VITS, Tacotron, FastSpeech for lifelike voice generation and cloning.  Implement speaker diarization for segmenting and identifying speakers in multi-party conversations using embeddings (x-vectors/d-vectors) and clustering (AHC, VBx, spectral clustering).  Design robust wake word detection models with ultra-low latency and high accuracy in noisy conditions. Real-Time Audio Streaming & Voice Agent Infrastructure:  Architect bi-directional real-time audio streaming pipelines using WebSocket, gRPC, Twilio Media Streams, or WebRTC.  Integrate voice AI models into live voice agent solutions, IVR automation, and AI contact center platforms.  Optimize for latency, concurrency, and continuous audio streaming with context buffering and voice activity detection (VAD).  Build scalable microservices to process, decode, encode, and stream audio across common codecs (e.g., PCM, Opus, μ-law, AAC, MP3) and containers (e.g., WAV, MP4). Deep Learning & NLP Architecture:  Utilize transformers, encoder-decoder models, GANs, VAEs, and diffusion models, for speech and language tasks.  Implement end-to-end pipelines including text normalization, G2P mapping, NLP intent extraction, and emotion/prosody control.  Fine-tune pre-trained language models for integration with voice-based user interfaces. Modular System Development:  Build reusable, plug-and-play modules for ASR, TTS, diarization, codecs, streaming inference, and data augmentation.  Design APIs and interfaces for orchestrating voice tasks across multi-stage pipelines with format conversions and buffering.  Develop performance benchmarks and optimize for CPU/GPU, memory footprint, and real-time constraints. Engineering & Deployment:  Writing robust, modular, and efficient Python code  Experience with Docker, Kubernetes, cloud deployment (AWS, Azure, GCP)  Optimize models for real-time inference using ONNX, TorchScript, and CUDA, including quantization, context-aware inference, model caching.  On device voice model deployment. Why join us?  Impactful Work: Play a pivotal role in safeguarding Tanla's assets, data, and reputation in the industry.  Tremendous Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with opportunities for professional development.  Innovative Environment: Work alongside a world-class team in a challenging and fun environment, where innovation is celebrated. Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com

We are seeking a highly experienced Voice AI /ML Engineer to lead the design and deployment of real-time voice intelligence systems . This role focuses on ASR , TTS , speaker diarization , wake word detection , and building production-grade modular audio processing pipelines to power next-generation contact centre solutions , intelligent voice agents , and telecom-grade audio systems . You will work at the intersection of deep learning , streaming infrastructure , and speech/NLP technology , creating scalable, low-latency systems across diverse audio formats and real-world applications. Key Responsibilities: Voice & Audio Intelligence: Build, fine-tune, and deploy ASR models (e.g., Whisper , wav2vec2.0 , Conformer ) for real-time transcription. Develop and finetune high-quality TTS systems using VITS , Tacotron , FastSpeech for lifelike voice generation and cloning. Implement speaker diarization for segmenting and identifying speakers in multi-party conversations using embeddings (x-vectors/d-vectors) and clustering (AHC, VBx, spectral clustering). Design robust wake word detection models with ultra-low latency and high accuracy in noisy conditions. Real-Time Audio Streaming & Voice Agent Infrastructure: Architect bi-directional real-time audio streaming pipelines using WebSocket , gRPC , Twilio Media Streams , or WebRTC . Integrate voice AI models into live voice agent solutions , IVR automation , and AI contact center platforms . Optimize for latency , concurrency , and continuous audio streaming with context buffering and voice activity detection (VAD). Build scalable microservices to process, decode, encode, and stream audio across common codecs (e.g., PCM , Opus , μ-law , AAC , MP3 ) and containers (e.g., WAV , MP4 ). Deep Learning & NLP Architecture: Utilize transformers , encoder-decoder models , GANs , VAEs , and diffusion models , for speech and language tasks. Implement end-to-end pipelines including text normalization, G2P mapping, NLP intent extraction, and emotion/prosody control. Fine-tune pre-trained language models for integration with voice-based user interfaces. Modular System Development: Build reusable, plug-and-play modules for ASR , TTS , diarization , codecs , streaming inference , and data augmentation . Design APIs and interfaces for orchestrating voice tasks across multi-stage pipelines with format conversions and buffering. Develop performance benchmarks and optimize for CPU/GPU, memory footprint, and real-time constraints. Engineering & Deployment: Writing robust, modular, and efficient Python code Experience with Docker , Kubernetes , cloud deployment (AWS, Azure, GCP) Optimize models for real-time inference using ONNX , TorchScript , and CUDA , including quantization , context-aware inference , model caching .  On device voice model deployment. Why join us? Impactful Work: Play a pivotal role in safeguarding Tanla's assets, data, and reputation in the industry. Tremendous Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with opportunities for professional development. Innovative Environment: Work alongside a world-class team in a challenging and fun environment, where innovation is celebrated. Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com

Role- Senior Security Analyst Location- Ghaziabad Budget- 9 LPA Note:- Candidate must have 4+ years of SOC experience with hands-on exposure at L1 level. Job Description: We are looking for a highly skilled and proactive Senior Security Analyst to join our Security Operations Center (SOC) team. The ideal candidate will be responsible for monitoring security alerts, investigating threats, managing SIEM operations, and ensuring timely incident resolution while maintaining log integrity and system health. Key Responsibilities: Continuously monitor security alerts, incidents, and health dashboards. Investigate security alerts and ensure closure by coordinating with the concerned teams. Analyze and report on bad reputation IPs; forward findings to the network team for appropriate blocking. Develop and customize reports, rules, and dashboards as per client requirements. Create and tune incident alert rules in the SIEM platform. Integrate various security devices and log sources into the SIEM (e.g., firewalls, routers, servers). Perform fine-tuning of security alerts to reduce false positives and improve detection accuracy. Monitor and manage SIEM storage components such as Archiver. Maintain connectivity checks of all RSA NetWitness components (Log Decoder, Concentrator, ESA, etc.). Backup logs from cold storage to virtual machines (VMs) as per retention policy. Ensure the integrity, availability, and confidentiality of event and log data. Provide end-to-end resolution for HPSM (HP Service Manager) tickets. Participate in compliance checks and audit readiness tasks. Required Skills: Strong hands-on experience with RSA NetWitness SIEM or similar platforms. Deep understanding of security monitoring, alert handling, and incident response. Experience in log analysis and security use case development. Proficient in integrating new log sources and performing log correlation. Knowledge of network security, IP reputation, and attack vectors. Familiar with HPSM or other ITSM tools for ticket lifecycle management. Tools & Technologies: RSA NetWitness SIEM HPSM or ITSM Tools Security Dashboards and Reporting Tools Cold Storage Backup Systems Network Threat Intelligence Platforms -- Kirti Rustagi kirti.rustagi@raspl.com

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY- Assurance – Senior - Digital Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Responsibilities Convert business problem into analytical problem and devise a solution approach. Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 4+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, frameworks like LangChain and Llama Index. Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis, Sentence Computer Vision- Image Classification, Object Detection, Tracking etc. SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

As a data science expert, you will be responsible for developing strategies and solutions to address various problems using cutting-edge machine learning, deep learning, and GEN AI techniques. Your role will involve leading a team of data scientists to ensure timely and high-quality delivery of project outcomes. You will analyze large and complex datasets across different domains, perform exploratory data analysis, and select features to build and optimize classifiers and regressors. Enhancing data collection procedures, ensuring data quality and accuracy, and presenting analytical results to technical and non-technical stakeholders will be key aspects of your job. You will create custom reports and presentations with strong data visualization skills to effectively communicate analytical conclusions to senior company officials and other stakeholders. Proficiency in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques is essential. Your primary skills should include a deep understanding and hands-on experience with data science and machine learning techniques, algorithms for supervised and unsupervised problems, NLP, computer vision, and GEN AI. You should also have expertise in building deep learning models for text and image analytics using frameworks like ANNs, CNNs, LSTM, Transfer Learning, Encoder, and decoder. Proficiency in programming languages such as Python, R, and common data science tools like NumPy, Pandas, Matplotlib, and frameworks like TensorFlow, Keras, PyTorch, XGBoost is required. Experience with statistical inference, hypothesis testing, and cloud platforms like Azure/AWS, as well as deploying models in production, will be beneficial for this role. Excellent communication and interpersonal skills are necessary to convey complex analytical concepts to diverse stakeholders effectively.,

Overview: We are seeking an Embedded AI Software Engineer with deep expertise in writing software for resource-constrained edge hardware. This role is critical to building optimized pipelines that leverage media encoders/decoders, hardware accelerators, and AI inference runtimes on platforms like NVIDIA Jetson, Hailo, and other edge AI SoCs. You will be responsible for developing highly efficient, low-latency modules that run on embedded devices, involving deep integration with NVIDIA SDKs (Jetson Multimedia, DeepStream, TensorRT) and broader GStreamer pipelines. Key Responsibilities: Media Pipeline & AI Model Integration Implement hardware-accelerated video processing pipelines using GStreamer, V4L2, and custom media backends. Integrate AI inference engines using NVIDIA TensorRT, DeepStream SDK, or similar frameworks (ONNX Runtime, OpenVINO, etc.). Profile and optimize model loading, preprocessing, postprocessing, and buffer management for edge runtime. System-Level Optimization Design software within strict memory, compute, and power budgets specific to edge hardware. Utilize multimedia capabilities (ISP, NVENC/NVDEC) and leverage DMA, zero-copy mechanisms where applicable. Implement fallback logic and error handling for edge cases in live deployment conditions. Platform & Driver-Level Work Work closely with kernel modules, device drivers, and board support packages to tune performance. Collaborate with hardware and firmware teams to validate system integration. Contribute to device provisioning, model updates, and boot-up behavior for AI edge endpoints. Required Skills & Qualifications: Educational Background: Bachelor’s or Master’s degree in Computer Engineering, Electronics, Embedded Systems, or related fields. Professional Experience: 2–4 years of hands-on development for edge/embedded systems using C++ (mandatory). Demonstrated experience with NVIDIA Jetson or equivalent edge AI hardware platforms. Technical Proficiency: Proficient in C++11/14/17 and multi-threaded programming. Strong understanding of video codecs, media IO pipelines, and encoder/decoder frameworks. Experience with GStreamer, V4L2, and multimedia buffer handling. Familiarity with TensorRT, DeepStream, CUDA, and NVIDIA’s multimedia APIs. Exposure to other runtimes like HailoRT, OpenVINO, or Coral Edge TPU SDK is a plus. Bonus Points Familiarity with build systems (CMake, Bazel), cross-compilation, and Yocto. Understanding of AI model quantization, batching, and layer fusion for performance. Prior experience working with camera bring-up, video streaming, and inference on live feeds. Contact Information: To apply, please send your resume and portfolio details to hire@condor-ai.com with “Application: Embedded AI Software Engineer” in the subject line. About Condor AI: Condor is an AI engineering company where we use artificial intelligence models to deploy solutions in the real world. Our core strength lies in Edge AI, combining custom hardware with optimized software for fast, reliable, on device intelligence. We work across smart cities, industrial automation, logistics, and security, with a team that brings over a decade of experience in AI, embedded systems, and enterprise grade solutions. We operate lean, think globally, and build for production from system design to scaled deployment.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY- Assurance – Sr.Manager - Digital Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a combination of a technical role and a business development role in AI, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Responsibilities 10-12 years of experience in Data Science, with about 15 years of total experience Talk to businesses across Assurance teams and understand the problem and develop the solution based on problem, infra and cost limitations Respond to AI related RFPs and business cases Ensure team’s utilization and billability – i.e ensure that the projects are lined up for developers on after the other Convert business problem into analytical problem and devise a solution approach Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 6+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, function calling, frameworks like LangChain, Llama Index, agents etc. Retriever augmented generation and prompt engineering. Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis. Computer Vision- Image Classification, Object Detection, Tracking etc. SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Responsibilities Requirements (including experience, skills, and additional qualifications) Convert business problem into analytical problem and devise a solution approach. Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 4+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, frameworks like LangChain and Llama Index. Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis, Sentence Computer Vision- Image Classification, Object Detection, Tracking etc. SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors What We Look For A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Dear Aspirant , Greetings from TCS ! TCS presents excellent opportunity for Gen AI Architect with Cloud [ AWS or Azure or GCP ] Exp: 7 - 15 Years Job Location: Chennai / Bangalore / Hyderabad / Mumbai / Pune / Kolkata / Delhi / Noida / Gurgaon Gen AI Architect Exp in Gen AI Architect with Cloud [ AWS / Azure / GCP ] Experience in LLMs, Embedding Models, Prompt Engineering Knowledge of statistical programming languages like Python Good applied statistical skills Good knowledge of machine learning algorithms Proficiency in handling imperfections in data & generating insights and patterns. Experience with Data Visualization Tools Fine tuning of LLM Evaluation Framework (RAGAS, ROUGE, BLUE Scrore) Autoencoding model (Encoder: ROBERTA/ BERT/ DistilBERT) Langsmith framework Autoregressive model (Decoder: GPT/ BLOOM/ LLama/ Mistral/ Claude/ CodeGen/ OPT/ PaLM RAG/Multimodal Architecture using Langchain/ LlamIndex MCP Architecture Experience Agentic AI Framework ( Crew AI, AutoGen, LangGraph, Google AVD etc. ) Experience in Model deployment, LLMOps, Scalability and Performance Fine tuning of LLM AI ML exp. Candidate has exp. in Transformer Architecture (Encoder and decoders) Knowledge Graph implementation (If anyone has created knowledge graph, that's good) Regards, Sai Lokesh S

Security Operations Center (SOC) L1 Role Summary: We are seeking a highly skilled and proactive Senior Security Analyst to join our Security Operations Center (SOC) team. The ideal candidate will play a critical role in monitoring security alerts, investigating threats, managing SIEM operations, and ensuring timely incident resolution—while maintaining log integrity and system health. Key Responsibilities: Continuously monitor security alerts, incidents, and health dashboards. Investigate security alerts and coordinate with relevant teams to ensure closure. Analyze and report IPs with poor reputation; escalate to the network team for blocking. Develop and customize reports, rules, and dashboards per client requirements. Create and fine-tune incident alert rules within the SIEM platform. Integrate various security devices and log sources into the SIEM (e.g., firewalls, routers, servers). Perform fine-tuning of alerts to reduce false positives and improve detection accuracy. Monitor and manage SIEM storage components such as Archiver. Maintain connectivity checks for RSA NetWitness components (Log Decoder, Concentrator, ESA, etc.). Backup logs from cold storage to virtual machines (VMs) in line with the retention policy. Ensure integrity, availability, and confidentiality of all event and log data. Provide end-to-end resolution of HPSM (HP Service Manager) tickets. Participate in compliance assessments and audit readiness activities. Required Skills: Strong hands-on experience with RSA NetWitness SIEM or similar platforms. In-depth knowledge of security monitoring, alert handling, and incident response. Proficiency in log analysis and development of security use cases. Experience in integrating new log sources and performing log correlation. Solid understanding of network security , IP reputation, and threat vectors. Familiarity with HPSM or other ITSM tools for ticket lifecycle management. Job Type: Full-time Pay: Up to ₹900,000.00 per year Benefits: Paid time off Shift: Rotational shift Application Question(s): What is you Total Experience in SOC L1/L2 role? What is your relevant experience with SOC L1/L2 role? What is your current location? Are you available for a face-to-face interview in Ghaziabad? What is your current CTC? What is your official notice period? Do you have experience in RSA Netwitness? (MUST HAVE REQUIREMENT) Work Location: In person

Data Scientists- AI/ML- GEN AI- Across india | EXP: 4 - 10 years data scientists with total of around 4-10 years of experience and atleast 4-10 years of relevant data science, analytics, and AI/ML Python; data science; AI/ML; GEN AI Primary Skills : - Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference & testing, etc. - Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). - Proficient in coding in common data science language & tools such as R, Python. - Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc. - Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc. - Exposure or knowledge in cloud (Azure/AWS). - Experience on deployment of model in production.

GE Healthcare Healthcare Information Technology Category Digital Technology / IT Mid-Career Job Id R4026614 Relocation Assistance No Location Bengaluru, Karnataka, India, 560066 Job Description Summary We are seeking a highly skilled and innovative AI Engineer with expertise in both traditional Artificial Intelligence and emerging Generative AI technologies. In this role, you will be responsible for designing, developing, and deploying intelligent systems that leverage machine learning, deep learning, and generative models to solve complex problems. You will work across the AI lifecycle—from data engineering and model development to deployment and monitoring—while also exploring GenAI applications, Agentic AI and developing agentic platforms. The ideal candidate combines strong technical acumen with a passion for experimentation, rapid prototyping, and delivering scalable AI solutions in real-world environments. GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. Job Description Job Description Roles and Responsibilities In this role, you will: Develop and fine-tune Generative AI models (e.g., LLMs, diffusion models). Design and implement machine learning models for classification, regression, clustering, and recommendation tasks. Build and maintain scalable AI pipelines for data ingestion, training, evaluation, and deployment. Collaborate with cross-functional teams to understand business needs and translate them into AI solutions. Ensure model performance, fairness, and explainability through rigorous testing and validation. Deploy models to production using MLOps tools and monitor their performance over time. Stay current with the latest research and trends in AI/ML and GenAI and evaluate their applicability to business problems. Document models, experiments, and workflows for reproducibility and knowledge sharing. Technical Skill Set Cloud & Infrastructure (AWS) Amazon SageMaker – Model training, tuning, deployment, and MLOps. Amazon Bedrock – Serverless GenAI model access and orchestration. SageMaker JumpStart – pre-trained models and GenAI templates. Prompt engineering and fine-tuning of LLMs using SageMaker or Bedrock. Programming & Scripting Python – Primary language for AI/ML development, data processing, and automation. Education Qualification Bachelor’s degree in engineering with minimum four years of experience in relevant technologies. Desired Characteristics Technical Expertise: GenAI Platforms & Models Familiarity with LLMs: like Claude (Anthropic), LLaMA (Meta), Gemini (Google), Mistral, Falcon Experience with APIs: Amazon Bedrock. Understanding of model types: encoder-decoder, decoder-only, diffusion models Design, develop, and deploy agent-based AI systems that exhibit autonomous decision-making. Integrate Generative AI (LLMs, diffusion models) into real-world applications. Prompt Engineering & Fine-Tuning Prompt design for zero-shot, few-shot, and chain-of-thought reasoning Fine-tuning and parameter-efficient tuning (LoRA, PEFT) Retrieval-Augmented Generation (RAG) design and implementation System Integration & Architecture Event-driven and serverless architectures (e.g., AWS Lambda, EventBridge) Development Frameworks LangChain, LlamaIndex. Vector databases: FAISS, Pinecone, Weaviate, Amazon OpenSearch Langgraph, Langchain Cloud & DevOps AWS (Bedrock, SageMaker, Lambda, S3), Azure (OpenAI, Functions), GCP (Vertex AI) CI/CD pipelines for GenAI workflows Security & Compliance Data privacy and governance (GDPR, HIPAA) Model safety: content filtering, moderation, hallucination control Monitoring & Optimization Model performance tracking (latency, cost, accuracy) Logging and observability (CloudWatch, Prometheus, Grafana) Cost optimization strategies for GenAI inference Collaboration & Business Alignment Working with product, legal, and compliance teams Translating business requirements into GenAI use cases Creating PoCs and scaling to production Business Acumen: Demonstrates the initiative to explore alternate technology and approaches to solving problems Skilled in breaking down problems, documenting problem statements and estimating efforts Has the ability to analyze impact of technology choices Skilled in negotiation to align stakeholders and communicate a single synthesized perspective to the scrum team. Balances value propositions for competing stakeholders. Demonstrates knowledge of the competitive environment Demonstrates knowledge of technologies in the market to help make buy vs build recommendations, scope MVPs, and to drive market timing decisions Leadership: Influences through others; builds direct and "behind the scenes" support for ideas. Pre-emptively sees downstream consequences and effectively tailors influencing strategy to support a positive outcome. Able to verbalize what is behind decisions and downstream implications. Continuously reflecting on success and failures to improve performance and decision-making. Understands when change is needed. Participates in technical strategy planning. Personal Attributes: Able to effectively direct and mentor others in critical thinking skills. Proactively engages with cross-functional teams to resolve issues and design solutions using critical thinking and analysis skills and best practices. Finds important patterns in seemingly unrelated information. Influences and energizes other toward the common vision and goal. Maintains excitement for a process and drives to new directions of meeting the goal even when odds and setbacks render one path impassable. Innovates and integrates new processes and/or technology to significantly add value to GE Healthcare. Identifies how the cost of change weighs against the benefits and advises accordingly. Proactively learns new solutions and processes to address seemingly unanswerable problems. Inclusion and Diversity GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support. #LI-MA6 Additional Information Relocation Assistance Provided: No

• Develop strategies/solutions to solve problems in logical yet creative ways, leveraging state-of-the-art machine learning, deep learning and GEN AI techniques. • Technically lead a team of data scientists to produce project deliverables on time and with high quality. • Identify and address client needs in different domains, by analyzing large and complex data sets, processing, cleansing, and verifying the integrity of data, and performing exploratory data analysis (EDA) using state-of-the-art methods. • Select features, build and optimize classifiers/regressors, etc. using machine learning and deep learning techniques. • Enhance data collection procedures to include information that is relevant for building analytical systems, and ensure data quality and accuracy. • Perform ad-hoc analysis and present results in a clear manner to both technical and non-technical stakeholders. • Create custom reports and presentations with strong data visualization and storytelling skills to effectively communicate analytical conclusions to senior officials in a company and other stakeholders. • Expertise in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques. • Strong programming skills in Python. • Excellent communication and interpersonal skills, with the ability to present complex analytical concepts to both technical and non-technical stakeholders. Primary Skills : - Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference & testing, etc. - Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). - Proficient in coding in common data science language & tools such as R, Python. - Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc. - Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc. - Exposure or knowledge in cloud (Azure/AWS). - Experience on deployment of model in production.

Join Udemy. Help define the future of learning. Udemy is an AI-powered reskilling platform built to help people and teams grow. It’s personalized, practical, and focused on real-world impact. Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use, whether they’re picking up something new or leveling up to stay ahead. Over 80 million learners and 17,000 businesses already learn with Udemy. If you’re excited by change, energized by learning, and ready to have a real impact, you’ll feel right at home. Learn More About Us On Our Company Page. Where we work Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Türkiye. This is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays . About You You’re an active listener and a determined person who thrives in a collaborative environment like ours. You want to use your skills to help others progress, whether that’s internally with your team or seeing the impact your work can have on people around the world as you help us expand into new markets. You’re ready for a challenge and aren’t afraid to try new ideas. About This Role This should be 2-3 sentences long to tell the candidate about: The scope of the role and responsibilities. The position’s challenges, the potential for development, and how this role impacts the greater organization. What you'll be doing It’s important that these role requirements are carefully considered and reflect what hiring managers expect will be the essential functions of the position. It’s important that our job descriptions don’t include gendered or otherwise biased language. To help in this process, all descriptions should go through Kat Manfield’s gender decoder for job ads. Once you’ve created a draft, copy the text into the field and check for biased words. Do your best to rephrase or recast. Don’t hesitate to ask your recruiter for help. What you’ll have This section should be bullet-pointed and talk about the absolute necessary qualifications that we’re looking for. Statistically speaking, women and people from historically marginalized communities will not apply to a role unless they hit every qualification bullet point. Allow the posting to be inclusive, and the candidate pool is likely to reflect the inclusivity. We understand that not everyone will match each of the above qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you! Life at Udemy We aspire to be as vibrant and dynamic as the communities we serve, as inquisitive as those who use our platform, and as revolutionary as the future we strive to open for everyone. Here are some of the things we love about life at Udemy: We’re invested in creating an inclusive environment that welcomes a diverse range of backgrounds and experiences. From creating employee resource groups, ensuring we’re a Fair Pay Workplace, and building a flexible work culture, our belonging, equity, diversity, and inclusion (BEDI) initiatives always put our people first. We want you to be able to bring your authentic self to work because when we all do, we’re better for it. Learning is what we do – inside and out. Our Learning & Development team is second to none, helping ensure your journey is one of continuous progression. You’ll also have unlimited access to Udemy courses, monthly UDays (meeting-free professional development days), and a generous annual professional development stipend. Our reason to exist is to revolutionize learning – that calls for taking risks and learning from failures. Whether it’s our hackathons (a company-wide effort to envision new possibilities for our product) or sharing our prototypes, we see experimentation as a crucial step on the path to success. We’re committed to creating world-class employee experiences and are proud of the recognition of this by Great Place to Work. Of course, the best thing about being part of Udemy is knowing your work makes a difference for people and organizations around the world. You’ve got the skills; why not use them to help others develop theirs? At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. Our Benefits Start With U Our benefits package at Udemy “starts with U” and is grounded in mission-driven benefits that intentionally align with our core values. Here’s a sneak peek at just a few highlighted benefits if you’re a full-time Udemate based in the India: Core Benefits: Comprehensive medical, life and income protection coverage Parental Benefits: Financial assistance for fertility (including egg-freezing), adoption, and surrogacy expenses; twelve weeks of paid family bonding for birth, surrogacy, adoption, and foster placement. 26 weeks paid maternity leave for birthing parents as well as a two-week “ease-back” program that enables parents to return part-time at full pay Whole U: Fully paid memberships for meditation/mindfulness, therapy/coaching visits, financial planning, fertility and family building, maternity and newborn care, parenting and pediatrics, menopause care, breastmilk shipping, and caregiving support Learning: Free access to Udemy and Udemy Business plus a yearly stipend to spend on professional development Retirement: 12% of your base salary or INR 1,800 per month Holidays: 25 paid holidays throughout the year plus bank holidays About Our APAC Region When you join Udemy in our Asia Pacific (APAC) region, you’ll have the chance to help our globally established business grow locally. We have a solid foundation and a great reputation — and you can be part of the next stage of our journey. Our investment in the region is significant, with offices in Australia and India and an expanding presence in Singapore, Indonesia, Japan, and beyond. It comes with countless opportunities to make learning more accessible to millions. You’ll work with various cultures with unique needs, affording you the chance to learn and progress in your career. And that progression doesn’t come at the cost of work-life balance; people are at the heart of our mission, which is why we’re committed to looking after ours. Information regarding data privacy is available within the Udemy Careers Privacy Notice. Why work here? You’ll grow here. Learning is part of the job. You’ll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend on whatever helps you improve. Many people are diving into AI lately, but what you focus on is up to you. AI is real here. We use it in the way we learn and the way we work. You’ll have the space and tools to experiment, apply, and get better at using AI in practical ways. You’ll own your work. We trust people to lead, make decisions, and follow through. You don’t need to wait for permission or layers of approval to have an impact. You’ll Build With Others. We collaborate openly and shape ideas together. Everyone has a voice, and good thinking is welcomed from any direction. You’ll see your impact. What you build helps people grow their skills, change their careers, or find a path forward. You’ve got the experience, why not use it to help others gain theirs? Bring your curiosity. We’ll bring the platform and the support. Let’s LEARN together. Our Benefits Start with U Our benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to access the right coverage when you need it most. Benefits vary by region, and we encourage applicants to review our US Benefits, Ireland Benefits & Turkiye Benefits pages to get an understanding of some of the benefits we offer. For details on region-specific benefits, please refer to the information provided during the hiring process. Benefits outlined are provided as a general overview and may vary depending on the location, role, and employment classification. All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies. At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We understand that not everyone will match each of the qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you! Information regarding data privacy is available within the Udemy Careers Privacy Notice.

Company Description Echoleads.ai leverages AI-powered sales agents to engage, qualify, and convert leads through real-time voice conversations. Our voice bots act as scalable sales representatives, making thousands of smart, human-like calls daily to follow up instantly, ask the right questions, and book appointments effortlessly. Echoleads integrates seamlessly with lead sources like Meta Ads, Google Ads, and CRMs, ensuring leads are never missed. Serving modern sales and marketing teams across various industries, our AI agents proficiently handle outreach, lead qualification, and appointment setting. About the Role: We are seeking a highly experienced Voice AI /ML Engineer to lead the design and deployment of real-time voice intelligence systems. This role focuses on ASR, TTS, speaker diarization, wake word detection, and building production-grade modular audio processing pipelines to power next-generation contact center solutions, intelligent voice agents, and telecom-grade audio systems. You will work at the intersection of deep learning, streaming infrastructure, and speech/NLP technology, creating scalable, low-latency systems across diverse audio formats and real-world applications. Key Responsibilities: Voice & Audio Intelligence: Build, fine-tune, and deploy ASR models (e.g., Whisper, wav2vec2.0, Conformer) for real-time transcription. Develop and finetune high-quality TTS systems using VITS, Tacotron, FastSpeech for lifelike voice generation and cloning. Implement speaker diarization for segmenting and identifying speakers in multi-party conversations using embeddings (x-vectors/d-vectors) and clustering (AHC, VBx, spectral clustering). Design robust wake word detection models with ultra-low latency and high accuracy in noisy conditions. Real-Time Audio Streaming & Voice Agent Infrastructure: Architect bi-directional real-time audio streaming pipelines using WebSocket, gRPC, Twilio Media Streams, or WebRTC. Integrate voice AI models into live voice agent solutions, IVR automation, and AI contact center platforms. Optimize for latency, concurrency, and continuous audio streaming with context buffering and voice activity detection (VAD). Build scalable microservices to process, decode, encode, and stream audio across common codecs (e.g., PCM, Opus, μ-law, AAC, MP3) and containers (e.g., WAV, MP4). Deep Learning & NLP Architecture: Utilize transformers, encoder-decoder models, GANs, VAEs, and diffusion models, for speech and language tasks. Implement end-to-end pipelines including text normalization, G2P mapping, NLP intent extraction, and emotion/prosody control. Fine-tune pre-trained language models for integration with voice-based user interfaces. Modular System Development: Build reusable, plug-and-play modules for ASR, TTS, diarization, codecs, streaming inference, and data augmentation. Design APIs and interfaces for orchestrating voice tasks across multi-stage pipelines with format conversions and buffering. Develop performance benchmarks and optimize for CPU/GPU, memory footprint, and real-time constraints. Engineering & Deployment: Writing robust, modular, and efficient Python code Experience with Docker, Kubernetes, cloud deployment (AWS, Azure, GCP) Optimize models for real-time inference using ONNX, TorchScript, and CUDA, including quantization, context-aware inference, model caching. On device voice model deployment.

Job requisition ID :: 85231 Date: Jul 1, 2025 Location: Delhi Designation: Manager Entity: Deloitte South Asia LLP We are looking for a highly skilled and experienced Generative AI with expertise in Python, Machine Learning, Data Science, and Statistics. The ideal candidate should have a strong background in Generative AI, NLP (Natural Language Processing), and conversational chatbot development. Additionally, experience with Lang Chain, Langraph, using LLM's and proficiency in cloud platforms like GCP, Azure, AWS is required. The candidate should also have a basic understanding of application deployments using frameworks such as Flask, Django, Fast API As a Generative AI Senior Consultant, you will be responsible for delivering innovative AI solutions to our clients. Your role will involve: Design, develop, and deploy generative AI models. Leveraging your expertise in Generative AI, Python, Machine Learning, Data Science, and Statistics to develop cutting-edge solutions for our clients. Utilizing NLP techniques, Lang Chain, and LLM's to develop conversational chatbots and language models tailored to our clients' needs. Collaborating with cross-functional teams to design and implement advanced AI models and algorithms. Providing technical expertise and thought leadership in the field of Generative AI and NLP to guide clients in adopting AI-driven solutions. Conducting data analysis, preprocessing, and modeling to extract valuable insights and drive data-driven decision-making. Staying up to date with the latest advancements in AI technologies, frameworks, and tools, and proactively learning and adopting new technologies to enhance our offerings. Demonstrating a strong understanding of cloud platforms, particularly GCP, for deploying AI applications. Should have strong knowledge and experience in working with Deep Learning projects using CNN, GAN, Transformers, Encoder and decoder algorithms or any other image generation and classification use cases. Familiarity with LLM's (Large Language Modeling) and their applications. Proficiency in cloud platforms like GCP/Azure/AWS, including experience with deploying AI applications. Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience in developing web applications using frameworks such as Flask, Django, Fast API. Proven track record of delivering successful AI projects and driving business impact. Excellent communication, presentation, and documentation skills. Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies. Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.

About the Role: We are seeking a highly experienced Voice AI /ML Engineer to lead the design and deployment of real-time voice intelligence systems . This role focuses on ASR , TTS , speaker diarization , wake word detection , and building production-grade modular audio processing pipelines to power next-generation contact center solutions , intelligent voice agents , and telecom-grade audio systems . You will work at the intersection of deep learning , streaming infrastructure , and speech/NLP technology , creating scalable, low-latency systems across diverse audio formats and real-world applications. Key Responsibilities: Voice & Audio Intelligence: Build, fine-tune, and deploy ASR models (e.g., Whisper , wav2vec2.0 , Conformer ) for real-time transcription. Develop and finetune high-quality TTS systems using VITS , Tacotron , FastSpeech for lifelike voice generation and cloning. Implement speaker diarization for segmenting and identifying speakers in multi-party conversations using embeddings (x-vectors/d-vectors) and clustering (AHC, VBx, spectral clustering). Design robust wake word detection models with ultra-low latency and high accuracy in noisy conditions. Real-Time Audio Streaming & Voice Agent Infrastructure: Architect bi-directional real-time audio streaming pipelines using WebSocket , gRPC , Twilio Media Streams , or WebRTC . Integrate voice AI models into live voice agent solutions , IVR automation , and AI contact center platforms . Optimize for latency , concurrency , and continuous audio streaming with context buffering and voice activity detection (VAD). Build scalable microservices to process, decode, encode, and stream audio across common codecs (e.g., PCM , Opus , μ-law , AAC , MP3 ) and containers (e.g., WAV , MP4 ). Deep Learning & NLP Architecture: Utilize transformers , encoder-decoder models , GANs , VAEs , and diffusion models , for speech and language tasks. Implement end-to-end pipelines including text normalization, G2P mapping, NLP intent extraction, and emotion/prosody control. Fine-tune pre-trained language models for integration with voice-based user interfaces. Modular System Development: Build reusable, plug-and-play modules for ASR , TTS , diarization , codecs , streaming inference , and data augmentation . Design APIs and interfaces for orchestrating voice tasks across multi-stage pipelines with format conversions and buffering. Develop performance benchmarks and optimize for CPU/GPU, memory footprint, and real-time constraints. Engineering & Deployment: Writing robust, modular, and efficient Python code Experience with Docker , Kubernetes , cloud deployment (AWS, Azure, GCP) Optimize models for real-time inference using ONNX , TorchScript , and CUDA , including quantization , context-aware inference , model caching . On device voice model deployment. Why join us? Impactful Work: Play a pivotal role in safeguarding Tanla's assets, data, and reputation in the industry. Tremendous Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with opportunities for professional development. Innovative Environment: Work alongside a world-class team in a challenging and fun environment, where innovation is celebrated. Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY- Assurance – Senior - Digital Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Responsibilities Convert business problem into analytical problem and devise a solution approach. Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 4+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, frameworks like LangChain and Llama Index. Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis, Sentence Computer Vision- Image Classification, Object Detection, Tracking etc. SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors What We Look For A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY- Assurance – Senior - Digital Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Responsibilities Convert business problem into analytical problem and devise a solution approach. Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 4+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, frameworks like LangChain and Llama Index. Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis, Sentence Computer Vision- Image Classification, Object Detection, Tracking etc. SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors What We Look For A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

We are looking for a Senior Data Scientist/TL in our EO Applied Data Science (EO Data) Team. Our mission is realized through foundational research and development in applied machine learning. With a plethora of Geospatial Data Science use-cases that we have solved so far, such as Land Use and Land Cover (LULC), Crop Classification, Sowing and Harvest Progression, Change Detection, Route Optimization, Satellite Image Time-Series (SITS) classification, Image2Image (I2I) Translation, Cross Modal Fusion etc, we are now focusing on advancing the next-generation Machine Learning (ML) applications, and surpass the State-Of-The-Art (SOTA), especially in more ambiguous, complex geographies. We look forward to applying our research to critical products, while touching the lives of millions of users, via revolutionary, real, and near-real time large-scale software systems utilizing Terabytes of data. At the core of such systems, we are envisioning foundational geospatial data science models that are season, modality and ground agnostic. We have been at the forefront of adaptable and efficient models, as evidenced by our findings through publications at top ML/GRS conferences. About SatSure: SatSure is a deep tech, decision intelligence company that leverages Earth-Observation (EO) data to solve crucial problems at the nexus of agriculture, finance, infrastructure, utilities, aviation, energy, climate, to name a few. Our goal is to create an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all. With a founding team having roots in the Indian Institute of Space Science and Technology (IIST), Indian Space Research Organisation (ISRO), Indian Institute of Remote Sensing (IIRS), and the leadership team having diverse backgrounds (IBM, Samsung, Intel, USC, IITKGP, IITG, IITM), we value technical innovation and scale. If you are interested in working in an environment that focuses on the impact on society, driven by cutting-edge technology, and where you will have the freedom to work on innovative ideas and be creative with no hierarchies, SatSure is the place for you. Roles & Responsibilities: Own a couple of technical roadmaps and charters for assisting the science manager in terms of resource management. Technically mentor science staff and projects. Work in collaboration with product owners, applied data scientists, MLOps, geospatial experts, platform engineers to envision solutions to real-world, ambiguous business use-cases with low latency/ high throughput. Focus on identifying and solving customer problems with simple and elegant solutions, while working backwards from customer requirements. Quickly propose and validate hypotheses to direct the product roadmaps. Own time-bound, End-to-End (E2E) solutioning of large-scale ML applications, ranging from resource, requirements gathering, data collection, cleaning and annotation, model development, validation, deployment, monitoring, etc. Brainstorm, deep dive, implement, debug into fundamentals of the systems (e.g., architectures, losses, efficiency, serving etc), while writing clean, production level code, and conduct A/B as necessary. Define proper output Data Science metrics and calibrate them to the desired business metrics. Clearly communicate findings verbally and in writing to stakeholders of varied backgrounds. Have attention to detail. Engage and initiate collaborative efforts to meet ambitious (applied research and product/client delivery) goals. Innovate and advance State-Of-The-Art (SOTA) in-house solutions, and communicate findings as IPs (patents, papers), as deemed applicable by business. Mentor junior staff, interns as applicable. Assist Science managers in effective project, resource management, hiring, and timely deliverables (in an agile manner), via showcasing strong sense of ownership and accountability. Qualification: M.Tech, MS (Research), PhD in a technical field (e.g., CS, EE, EC, Remote Sensing, etc), preferably from leading academic/ industrial labs/institutes, corporates. Undergraduates/Dual-Degree with research experience as mentioned below may also be considered. Experience working in industry (2-6 years of experience), on projects from proof-of-concept to deployment and monitoring, while partnering with business stakeholders, product managers, engineers, and other data scientists to translate business needs into technical, deployed solutions. 1-2 years of industry experience as a technical leader, as evidenced by simultaneous, multiple project and/or people management/mentorship instances. Demonstration of functioning in a matrixed organization while aligning cross-functional stakeholders towards shared goals, and exhibiting excellent behavioral skills. Must-have: To be eligible for this role, we are looking for candidates with the following qualifications: A proven track record of relevant experience in computer vision, NLP, learning theory, optimization, ML+Systems, foundational models, etc. Technically familiar with some, or most of (as evidenced by problem solving skills in novel scenarios): Convolutional Neural Networks (CNNs), LSTMs/RNNs/GRUs, Transformers, UNet, YOLO, RCNN, Encoder-Decoder Architectures, Generative Models (GAN, VAE, Diffusion), Contrastive Learning, Self-Supervised Learning, Semi-Supervised Learning, Representation Learning, Image Super Resolution, Traditional Machine Learning (Classification, Regression, Clustering), Active Learning, Learning with Noisy Labels, Multimodal Learning, Synthetic Aperture Radar (SAR)/VV-VH bands, Normalized Difference Vegetation Index (NDVI), False Colour Composite (FCC), Dimensionality Reduction (PCA, UMAP, Isomap), Time-Series Modeling/ Forecasting, Model compression (Distillation, Pruning, Quantization), Automatic Mixed Precision training, Fourier Neural Operator (FNO), Climate+AI, Domain Adaptation, Domain Generalization, Anomaly Detection etc. Candidates with prior publications in (main tracks/ workshops of) ICLR, CVPR, ICCV, ECCV, NeurIPS, ICML, AAAI, IJCAI, ACL, EMNLP, TACL, NAACL, TMLR, IGARSS, InGARSS, IEEE Transactions, etc, would have an edge too (with preference to first-authored ones). Proficiency in at least one general programming language (preferably, Python), along with strong hands-on experience with ML frameworks (e.g. PyTorch) in terms of training large, optimized, scalable, ML models. Strong verbal and written communication skills. Experience with SQL, large scale distributed systems (e.g., Spark), MLOps will be handy. Benefits: Medical Health Cover for you and your family including unlimited online doctor consultations Access to mental health experts for you and your family Dedicated allowances for learning and skill development Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves Twice a year appraisal Interview Process: Intro call Assessment Presentation Interview rounds (ideally up to 3-4 rounds) Culture Round / HR round Link to SatSure blogs

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Should be able to Design the setup of any New office- Should be able to resolve the all the Severity & non Severity issues- Product / Architecture and design level understanding of Juniper, Fortigate , Cisco, HP devices.- Should understand, design and troubleshoot major switching and routing technologies - Should be able to train the Team on current technologies- Good understanding on routing protocol like BGP, OSPF EIGRP.- Multicasting design, multicast security, advances level multicast troubleshooting.- Knowledge on Network Security.- Understanding on network varies tools. [like error decoder, config verify, output interpreter so on].- Help customer in design network.- Scheduling and performing configuration changes on the network devices as per the business requirement.- Knowledge and use of Network Management Tools and integration experience with other Tools.- Excellent interpersonal skills with customers, senior level personnel, and team members.- Good Communication Skills.- Handle Severity 1 / Severity 2 escalations calls.- Following with TAC engineer for advances level troubleshooting Coordinating with OEM vendors to resolve the issue on time.- Raising the CR or ECR- Implement / assist in network implementations as per the requirement. Qualifications Graduate

Job requisition ID :: 84133 Date: Jun 18, 2025 Location: Delhi Designation: Manager Entity: Technology & Transformation- EAD- AI/ML- Generative AI- Manager Your potential, unleashed. India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The Team Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Your work profile: We are looking for a highly skilled and experienced Generative AI & Agentic AI professionals with expertise in Python, Machine Learning, Data Science, and Statistics. The ideal candidate should have a strong background in Generative AI, NLP (Natural Language Processing), and conversational chatbot development. Additionally, experience with Lang Chain, using LLM's and proficiency in cloud platforms is required. The candidate should also have a advancedunderstanding of application deployments using frameworks such as Flask, Django, Fast API As a Generative AI Manager, you will be responsible for delivering innovative AI solutions to our clients. Your role will involve: Lead teams and do project delivery which will include Design, develop, and deploy generative AI models. Lead client conversations, manage teams, provide technical SME, assist in proposals Weightage given to candidates who have scaled from POC to scale up journey Leveraging your expertise in Generative AI, Python, Machine Learning, Data Science, and Statistics to develop cutting-edge solutions for our clients. Utilizing advanced Gen AI techniques to develop solutions tailored to our clients' needs. Collaborating with cross-functional teams to design and implement advanced AI models and algorithms. Providing technical expertise and thought leadership in the field of Generative AI and NLP to guide clients in adopting AI-driven solutions. Conducting data analysis, preprocessing, and modeling to extract valuable insights and drive data-driven decision-making. Staying up to date with the latest advancements in AI technologies, frameworks, and tools, and proactively learning and adopting new technologies to enhance our offerings. Demonstrating a strong understanding of cloud platforms,for deploying AI applications. Minimum of 8+ years of relevant professional experience in Python, Machine Learning/Deep Learning, Data Science, and Statistics. Strong expertise in NLP, Generative AI concepts, Lang Chain, Other alternative LLM frameworks and conversational chatbots. Should have strong knowledge and experience in working with Deep Learning projects using CNN, GAN, Transformers, Encoder and decoder algorithms or any other image generation and classification use cases. Familiarity with LLM's (Large Language Modeling) and their applications. Proficiency in cloud platforms like GCP/AWS, including experience with deploying AI applications. Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience in developing web applications using frameworks such as Flask, Django, Fast API. Proven track record of delivering successful AI projects and driving business impact. Excellent communication, presentation, and documentation skills. Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies. Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders. How you’ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report. Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone’s welcome… entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.