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Description About Chubb Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 40,000 people worldwide. Additional information can be found at: www.chubb.com . About Chubb India At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work® for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape. We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning. Position Details Job Title: Data Engineer – Databricks Engineer with Data Scientist experience . Location: Hyderabad Job Description: We are searching for a seasoned Databricks Engineer to pioneer Databricks solutions and having good experience in Machine Learning(ML). The Databricks Engineer will serve as a in our data engineering team, delivering highly sophisticated technological solutions using Databricks, Delta Live Tables, Snowflake, and Medallion Architecture. Key Responsibilities: Building, and maintaining medallion architecture-based data pipelines in Databricks platforms. Handling raw data ingestion through Delta Live Tables while ensuring data quality and access latency. Utilizing knowledge of Snowflake to offer insight into data warehousing and management. Deep expertise in writing and reviewing production code in Python. Experience with designing scalable end-to-end Machine Learning/NLP systems. Experience on distributed, high throughput and low latency architecture. Understanding of NLP techniques around text cleaning/pre-processing, entity extraction, encoder-decoder architectures, similarity matching etc. Familiarity with Continuous Integration tools such as Jenkins . Work in conjunction with data science teams to implement complex statistical models. Ensuring data security and compliance in Databricks and Snowflake environments. Developing and deploying ETL job workflows with an emphasis on automation and scalability. Keeping up to date with industry best practices and emerging trends in Databricks technology . Requirements: Bachelor’s degree in computer science, Information Technology, or a related field Experience in Databricks platform, data engineering, and using Delta Live Tables Experience with medallion architecture in a data lake environment Good to have knowledge on Snowflake data warehousing platform Strong understanding of ETL workflows and data pipeline automation. Skilled in SQL, Python, or Scala. Experience with LLM tooling and frameworks like LangChain, LlamaIndex etc. Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns Experience building software on top of containerization technology (Kubernetes, Docker etc.), and familiarity with frameworks/tools such as FastAPI, Uvicorn. Good problem-solving abilities, with an innovative approach to tackling complex challenges. Exceptional communication skills with proven ability to bridge communication gaps between technical and non-technical stakeholders. Ideal candidates are proactive, collaborative, and passionate about data and Databricks technologies. If you have a desire to be at the forefront of data innovation, we would like to meet you. Why Chubb? Join Chubb to be part of a leading global insurance company! Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results. · Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence · A Great Place to work: Chubb India has been recognized as a Great Place to Work® for the years 2023-2024, 2024-2025 and 2025-2026 · Laser focus on excellence: At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results · Start-Up Culture: Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter · Growth and success: As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment Employee Benefits Our company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include: · Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances · Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs. · Health and Welfare Benefits: We care about our employees’ well-being in and out of work and have benefits like Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits. Application Process Our recruitment process is designed to be transparent, and inclusive. · Step 1: Submit your application via the Chubb Careers Portal. · Step 2: Engage with our recruitment team for an initial discussion. · Step 3: Participate in HackerRank assessments/technical/functional interviews and assessments (if applicable). · Step 4: Final interaction with Chubb leadership. Join Us With you Chubb is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion, and are ready to make a difference, we invite you to be part of Chubb India’s journey. Apply Now: Chubb External Careers Qualifications Bachelor’s degree in computer science, Information Technology, or a related field Experience in Databricks platform, data engineering, and using Delta Live Tables Experience with medallion architecture in a data lake environment Good to have knowledge on Snowflake data warehousing platform Strong understanding of ETL workflows and data pipeline automation. Skilled in SQL, Python, or Scala. Experience with LLM tooling and frameworks like LangChain, LlamaIndex etc. Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns Experience building software on top of containerization technology (Kubernetes, Docker etc.), and familiarity with frameworks/tools such as FastAPI, Uvicorn. Good problem-solving abilities, with an innovative approach to tackling complex challenges. Exceptional communication skills with proven ability to bridge communication gaps between technical and non-technical stakeholders. Ideal candidates are proactive, collaborative, and passionate about data and Databricks technologies. If you have a desire to be at the forefront of data innovation, we would like to meet you.

Designation: Associate Software Engineer Job Description Individual contributor · Understand Software/System components and associated specifications · Participate in Design and Architecture of modules/specifications · Define/Strategize the assigned module/functionality for efficient implementation · Implementation of the defined component/module/functionality · Understand and modifying already implemented modules/components Skills Required Technical Skills · Excellent coding skills with C/C++ language using OOPs concepts · Good understanding of object oriented design · Proficiency in data structures, algorithms and programming concepts · Experience in software programming and debugging/troubleshooting · Proficiency in working on Windows operating system · Good understanding of working in a multi-threaded environment · Media file format (example –MP4, MXF etc) exposure is a plus · Video/Audio decoder exposure is a plus · Image processing/audio signal processing exposure is a plus Soft Skills · Strong analytical and problem-solving abilities, with quick adaptation to new technologies, methodologies, and systems. · Self-starter, having positive attitude, ability to proactively identify issues and/or opportunities for improvement · Mature, ability to understand business perspective of requirements and interpersonal relationships when interacting with non-team members · Team player Qualification · BE/B.Tech, ME/ M.Tech from reputed engineering colleges · Consistently good academic record having minimum 80% throughout (10th std onwards) Experience: 0-1 Year Location: Noida, Sec-68 Website: www.veneratech.com Job Types: Full-time, Permanent, Fresher Pay: ₹500,000.00 - ₹600,000.00 per year Benefits: Health insurance Provident Fund Ability to commute/relocate: Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required) Application Question(s): If experienced, Please provide your last CTC. Please provide your expected CTC. Please share your academic scores: 10th - 12th - Graduation - Post Grad. - What is the notice period required to join? Are you comfortable with Noida location? Work Location: In person

🚀 Founding AI/ML Engineer (Co-Founder) - Bharat’s Audio Foundation Model 📌 Apply here: https://forms.gle/suLFDWfFEshCha7G7 About Us: We’re building Bharat’s first at scale audio foundation models... transformer architectures trained entirely from scratch. Think LLMs, but for audio understanding & generation.. no fine tuning, no shortcuts, 100% original models built for Bharat’s 150+ crore voices. The Role: You’ll architect, train, and deploy transformer based audio foundation models from the ground up. From research to real time deployment, you’ll have end-to-end ownership of model design, infrastructure, and performance. What You’ll Build: Audio Transformers: Encoder–decoder & decoder only models, attention optimized for sequential audio. Foundation Training: 100M+ parameter models on large scale Bharat audio datasets with self-supervised learning. Distributed Infrastructure: Multi-GPU/TPU pipelines with model parallelism, mixed precision, gradient checkpointing. Low-Latency Serving: Optimized inference systems with quantization, caching, and deployment pipelines. Must Have Skills: Proven experience implementing transformers from scratch (not just using library defaults). Trained large scale audio models (speech/music/environmental) from first principles. Distributed training expertise for multi-GPU/TPU systems. Strong audio signal processing background (spectrograms, mel-frequency, feature extraction). Expert in PyTorch or JAX with custom architecture experience. Nice-to-Have: Self-supervised learning for audio (contrastive learning, masked prediction). Speech AI (ASR, TTS, audio generation). Production deployment of large models. Published research in transformers or foundation models. Why Join Us: 🛠 Early Builder - Shape Bharat’s AI led audio ecosystem. 📈 Equity Ownership - Significant stake, not just salary. 🎯 Creative Freedom - Architect without bureaucracy. 🌏 Bharat Scale Impact - Build for 22+ languages & dialects. 🚀 Visibility - Conferences, AI community recognition. ❤️ Mission Driven - Preserve and empower Bharat’s voices. Let’s Build Bharat’s Audio Future 📌 Apply here: https://forms.gle/suLFDWfFEshCha7G7

🚀 Founding AI/ML Engineer (Co-Founder) - Bharat’s Audio Foundation Model 📌 Apply here: https://forms.gle/suLFDWfFEshCha7G7 About Us: We’re building Bharat’s first at scale audio foundation models... transformer architectures trained entirely from scratch. Think LLMs, but for audio understanding & generation.. no fine tuning, no shortcuts, 100% original models built for Bharat’s 150+ crore voices. The Role: You’ll architect, train, and deploy transformer based audio foundation models from the ground up. From research to real time deployment, you’ll have end-to-end ownership of model design, infrastructure, and performance. What You’ll Build: Audio Transformers: Encoder–decoder & decoder only models, attention optimized for sequential audio. Foundation Training: 100M+ parameter models on large scale Bharat audio datasets with self-supervised learning. Distributed Infrastructure: Multi-GPU/TPU pipelines with model parallelism, mixed precision, gradient checkpointing. Low-Latency Serving: Optimized inference systems with quantization, caching, and deployment pipelines. Must Have Skills: Proven experience implementing transformers from scratch (not just using library defaults). Trained large scale audio models (speech/music/environmental) from first principles. Distributed training expertise for multi-GPU/TPU systems. Strong audio signal processing background (spectrograms, mel-frequency, feature extraction). Expert in PyTorch or JAX with custom architecture experience. Nice-to-Have: Self-supervised learning for audio (contrastive learning, masked prediction). Speech AI (ASR, TTS, audio generation). Production deployment of large models. Published research in transformers or foundation models. Why Join Us: 🛠 Early Builder - Shape Bharat’s AI led audio ecosystem. 📈 Equity Ownership - Significant stake, not just salary. 🎯 Creative Freedom - Architect without bureaucracy. 🌏 Bharat Scale Impact - Build for 22+ languages & dialects. 🚀 Visibility - Conferences, AI community recognition. ❤️ Mission Driven - Preserve and empower Bharat’s voices. Let’s Build Bharat’s Audio Future 📌 Apply here: https://forms.gle/suLFDWfFEshCha7G7

🚀 Founding AI/ML Engineer (Co-Founder) - Bharat’s Audio Foundation Model 📌 Apply here: https://forms.gle/suLFDWfFEshCha7G7 About Us: We’re building Bharat’s first at scale audio foundation models... transformer architectures trained entirely from scratch. Think LLMs, but for audio understanding & generation.. no fine tuning, no shortcuts, 100% original models built for Bharat’s 150+ crore voices. The Role: You’ll architect, train, and deploy transformer based audio foundation models from the ground up. From research to real time deployment, you’ll have end-to-end ownership of model design, infrastructure, and performance. What You’ll Build: Audio Transformers: Encoder–decoder & decoder only models, attention optimized for sequential audio. Foundation Training: 100M+ parameter models on large scale Bharat audio datasets with self-supervised learning. Distributed Infrastructure: Multi-GPU/TPU pipelines with model parallelism, mixed precision, gradient checkpointing. Low-Latency Serving: Optimized inference systems with quantization, caching, and deployment pipelines. Must Have Skills: Proven experience implementing transformers from scratch (not just using library defaults). Trained large scale audio models (speech/music/environmental) from first principles. Distributed training expertise for multi-GPU/TPU systems. Strong audio signal processing background (spectrograms, mel-frequency, feature extraction). Expert in PyTorch or JAX with custom architecture experience. Nice-to-Have: Self-supervised learning for audio (contrastive learning, masked prediction). Speech AI (ASR, TTS, audio generation). Production deployment of large models. Published research in transformers or foundation models. Why Join Us: 🛠 Early Builder - Shape Bharat’s AI led audio ecosystem. 📈 Equity Ownership - Significant stake, not just salary. 🎯 Creative Freedom - Architect without bureaucracy. 🌏 Bharat Scale Impact - Build for 22+ languages & dialects. 🚀 Visibility - Conferences, AI community recognition. ❤️ Mission Driven - Preserve and empower Bharat’s voices. Let’s Build Bharat’s Audio Future 📌 Apply here: https://forms.gle/suLFDWfFEshCha7G7

Designation: Associate Software Engineer Job Description Individual contributor · Understand Software/System components and associated specifications · Participate in Design and Architecture of modules/specifications · Define/Strategize the assigned module/functionality for efficient implementation · Implementation of the defined component/module/functionality · Understand and modifying already implemented modules/components Skills Required Technical Skills · Excellent coding skills with C/C++ language using OOPs concepts · Good understanding of object oriented design · Proficiency in data structures, algorithms and programming concepts · Experience in software programming and debugging/troubleshooting · Proficiency in working on Windows operating system · Good understanding of working in a multi-threaded environment · Media file format (example –MP4, MXF etc) exposure is a plus · Video/Audio decoder exposure is a plus · Image processing/audio signal processing exposure is a plus Soft Skills · Strong analytical and problem-solving abilities, with quick adaptation to new technologies, methodologies, and systems. · Self-starter, having positive attitude, ability to proactively identify issues and/or opportunities for improvement · Mature, ability to understand business perspective of requirements and interpersonal relationships when interacting with non-team members · Team player Qualification · BE/B.Tech, ME/ M.Tech from reputed engineering colleges · Consistently good academic record having minimum 80% throughout (10th std onwards) Experience: 0-1 Year Location: Noida, Sec-68 Website: www.veneratech.com Job Types: Full-time, Permanent, Fresher Pay: ₹500,000.00 - ₹600,000.00 per year Benefits: Health insurance Provident Fund Ability to commute/relocate: Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Required) Application Question(s): If experienced, Please provide your last CTC. Please provide your expected CTC. Please share your academic scores: 10th - 12th - Graduation - Post Grad. - What is the notice period required to join? Are you comfortable with Noida location? Work Location: In person

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role 4-5 years of experiencehand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision. Good, applied statistics skills, such as distributions, statistical inference & testing, etc. in preferably in Life Sciences domain. Proficient in data mining and data cleansing techniques. 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, Go, SAS, Matlab etc. Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch etc. Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised and unsupervised problems (such as k-NN, Regression, Naive Bayes, SVM, Decision Tree, Random Forests, k-means, PCA, SVD, GenAI (LLM) etc.). Good applied statistics skills, such as distributions, statistical inference & testing, etc. Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost, H2O etc. Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive, MapReduce, Pyspark etc. Your Profile Post - Graduate degree (M.E/ M.Tech/ M.Sc etc) Experience on deployment of model in production. Experience in data management and visualization task. Excellent understanding / hand-on experience in NLP and computer vision. Familiarity with database systems of SQL and NoSQL. Familiarity with data visualization tools such as Tableau, MS PowerBI etc Ability to think creatively to solve real world business problems. Critical thinking and problem solving capabilities. Data-oriented personality. Hands on experience in GenAI. Good presentation skills. Proficient in verbal and written communication. Knowledge/ hand-on experience Exposure on large scale dataset and respective tool & framework like Hadoop, Pyspark, etc. Knowledge/ hand-on experience on deployment of model in production & deployment. What You Will Love About Working Here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

📌 Apply here: https://forms.gle/suLFDWfFEshCha7G7 Role Details: Title: Founding AI/ML Engineer (Co-Founder) Focus: Transformer-based audio foundation models built from scratch (no fine-tuning of existing open-source models) Location: Remote Type: Full/Part-time, founding team member About Us : We're building next-generation audio foundation models using transformer architectures trained from the ground up. Think of the scale and complexity of large language models like those behind advanced conversational AI, but specifically engineered for audio understanding and generation. We're not fine-tuning existing models. we're creating entirely new transformer-based foundation models for audio from first principles. The Role : We need a founding AI engineer who has hands-on experience building transformer-based foundation models from scratch for audio applications. You'll be responsible for architecting, training, and scaling neural audio models comparable to what powers modern speech AI systems, but built entirely in-house. What You'll Build: Audio Transformer Architectures : Design and implement encoder-decoder and decoder-only transformer models specifically for audio processing, including self-attention mechanisms optimized for sequential audio data. Foundation Model Training : Train large-scale audio foundation models (100M+ parameters) on diverse unlabelled audio datasets using self-supervised learning objectives like contrastive learning and masked prediction. Distributed Training Infrastructure : Implement multi-GPU/TPU training pipelines with model parallelism, gradient checkpointing, and mixed precision for training foundation models at scale. Real-time Inference Systems : Deploy foundation models for low-latency audio processing with optimized serving infrastructure, quantization, and caching. Must-Have Experience : Transformer Architecture Expertise : Proven experience implementing transformer models from scratch (not using pre-built PyTorch/TensorFlow transformer classes) with deep understanding of attention mechanisms, positional encoding, and layer normalization. Audio Foundation Model Training : Direct experience training large neural networks on audio data (speech, music, or environmental sounds) from scratch, including dataset curation and training objective design. Large-Scale Model Training : Hands-on experience with distributed training, managing training runs spanning weeks, hyperparameter optimization, and debugging convergence issues with models containing millions of parameters. Audio Signal Processing : Strong background in digital audio processing, understanding of sampling rates, spectrograms, mel-frequency analysis, and audio feature extraction methods. Deep Learning Frameworks : Expert-level proficiency in PyTorch or JAX with experience in custom model architectures, loss functions, and training loops. Preferred Experience : Self-Supervised Learning : Experience with contrastive learning, masked language modeling adapted for audio, or other unsupervised training objectives for foundation models. Audio Applications : Background in automatic speech recognition, text-to-speech synthesis, audio generation, or speech understanding tasks. Production Systems : Experience deploying large models in production with considerations for latency, throughput, and cost optimization. Research Background : Publications or demonstrable research experience in transformer architectures, foundation models, or audio machine learning. What’s on the table: 🛠 Early Builder Role – Shape Bharat’s first at-scale AI-led audio ecosystem from the ground up. 🤝 Founding-Level Trust – Work directly with the founder and core team; your voice matters in every decision. 📈 Equity Ownership – Significant stake in the company (will discuss over the call). 🎯 Freedom to Create – Architect AI models, pipelines, and infrastructure without bureaucracy. 🌏 Impact at Bharat-Scale – Build for 150+ crore voices, across 22+ languages & dialects, preserving cultural memory. 🚀 Growth & Visibility – Recognition in the ecosystem, conferences, and open innovation circles. 💡 End-to-End Ownership – From research to deployment, you’ll see your work go live and scale. ❤️ Mission-Driven Work – Your AI will directly empower rural creators, storytellers, and everyday citizens. Ready to build Bharat’s audio future? 📌 Apply here: https://forms.gle/suLFDWfFEshCha7G7

As an AI Solutions Architect with a total of around 10-15 years of experience, including at least 5-8 years in relevant data science, analytics, and AI/ML, you will be responsible for developing strategies and solutions to solve problems using state-of-the-art machine learning, deep learning, and GEN AI techniques. You will lead a team of data scientists to ensure timely delivery of high-quality project outcomes. Your role will involve analyzing large and complex datasets, performing exploratory data analysis, selecting features, and optimizing classifiers/regressors using machine learning and deep learning techniques. You will also be required to enhance data collection procedures, ensure data quality and accuracy, and present analytical results clearly to technical and non-technical stakeholders. Your expertise in data mining, feature selection, model building, and optimization using machine learning and deep learning techniques will be crucial. Proficiency in Python programming and strong communication skills will enable you to effectively communicate analytical conclusions to senior officials and other stakeholders. Your primary skills should include a deep understanding and hands-on experience with data science and machine learning techniques, NLP, computer vision, and GEN AI. You should also be adept at building deep learning models for text and image analytics, utilizing tools such as R and Python. Experience with data science toolkits and frameworks like NumPy, Pandas, TensorFlow, and PyTorch will be essential. Additionally, familiarity with cloud platforms like Azure/AWS and deploying models in production settings will be advantageous. In addition to your primary skills, having an in-depth understanding of manufacturing workflows, production planning, quality control, and standards such as ISA-95 and ISA-88 will be beneficial. Experience with shop floor automation, IoT devices, and exposure to emerging technologies like IoT or edge computing will be advantageous. MES certifications, regulatory experience, and knowledge of AI/ML will be considered as good-to-have skills for this role.,

DESCRIPTION Prime Video is changing the way millions of customers interact with video content. We're looking for a talented Video Codec Engineer to join our team in developing and optimizing video compression technologies for Prime Video's streaming infrastructure. Key job responsibilities As a Codec Engineer at Prime Video, you'll work on encoder/decoder solutions that impact billions of streaming hours annually. You'll collaborate with team members to optimize codec performance and implement effective video delivery solutions across various platforms. A day in the life • Implement and optimize video compression algorithms • Assist in benchmarking codec performance across different platforms • Collaborate with team members on video quality assessment metrics and encoding algorithms • Contribute to the integration of video processing workloads into the streaming infrastructure • Help implement production-ready solutions • Participate in technical design discussions and code reviews • Write clean, maintainable, and efficient code About the Team: Our mission is to build and operate innovative video streaming technology that provides the best customer-centric streaming experience for VOD and Live globally. We implement technologies that deliver flawless streaming experiences using optimal bandwidth. We foster a supportive, diverse, and inclusive work environment. BASIC QUALIFICATIONS 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Solid understanding of video coding standards (H.264, HEVC, AV1) PREFERRED QUALIFICATIONS 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent • Experience with video encoding optimization and profiling tools • Knowledge of video quality assessment and metrics • Familiarity with open-source video encoders and FFmpeg • Experience working on video processing systems • Experience with AI-assisted C/C++ code development • Interest in technical innovation and video coding standards Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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. Additional Information Relocation Assistance Provided: No

DESCRIPTION Prime Video is changing the way millions of customers interact with video content. We're looking for a talented Video Codec Engineer to join our team in developing and optimizing video compression technologies for Prime Video's streaming infrastructure. Key job responsibilities As a Codec Engineer at Prime Video, you'll work on encoder/decoder solutions that impact billions of streaming hours annually. You'll collaborate with team members to optimize codec performance and implement effective video delivery solutions across various platforms. A day in the life • Implement and optimize video compression algorithms • Assist in benchmarking codec performance across different platforms • Collaborate with team members on video quality assessment metrics and encoding algorithms • Contribute to the integration of video processing workloads into the streaming infrastructure • Help implement production-ready solutions • Participate in technical design discussions and code reviews • Write clean, maintainable, and efficient code About the Team: Our mission is to build and operate innovative video streaming technology that provides the best customer-centric streaming experience for VOD and Live globally. We implement technologies that deliver flawless streaming experiences using optimal bandwidth. We foster a supportive, diverse, and inclusive work environment. BASIC QUALIFICATIONS 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Solid understanding of video coding standards (H.264, HEVC, AV1) PREFERRED QUALIFICATIONS 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent • Experience with video encoding optimization and profiling tools • Knowledge of video quality assessment and metrics • Familiarity with open-source video encoders and FFmpeg • Experience working on video processing systems • Experience with AI-assisted C/C++ code development • Interest in technical innovation and video coding standards Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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.

Job Title: Inside Sales Executive / Sr. Executive / Business Development Associate / Tele Sales Executive / Sales Development Representative Location: N2 Road, Lal Bangla, Kanpur (Work from Office Only) Salary: ₹1.30 LPA – ₹4.50 LPA + Attractive Incentives (Performance-Based) About Us: Ruchir Gupta Training Academy Pvt. Ltd. is a fast-growing stock market education company offering online trading and investment training through our proprietary Gann Cycle Decoder (GCD) and Time-Cycle programs. With over 2 lakh+ YouTube followers and thousands of active students across India, we help individuals learn timing-based trading strategies for consistent and smart decision-making in the stock market. Role Overview: We are hiring passionate and target-oriented Inside Sales Professionals who can understand a customer’s trading interest and guide them to the right course. You will handle warm inbound leads and follow-up with interested prospects—no cold calling. Your job is to explain the course structure, clear doubts, and ensure enrollment. Key Responsibilities: Speak to incoming leads generated via YouTube, webinars, and website. Understand prospects’ interest in stock trading/investment. Clearly explain course benefits (e.g., timing-based entry/exit, GCD scanner). Convert leads into paid enrollments via persuasive conversations. Maintain lead and follow-up status on CRM. Coordinate with the sales manager and team to meet monthly targets. Share updates or objections for continuous pitch improvement. Required Skills & Qualifications: Experience: 2–8 years in Inside Sales / EduSales / Telesalas /Telecalling / Trading Institute Sales. Communication: Clear spoken Hindi & decent English; confident voice tone. Industry Bonus: Experience selling stock market/finance courses is a strong plus. Education: 12th Pass / Graduate / PG in any discipline. Traits: Goal-driven, disciplined, fast learner, and performance-focused. Work Conditions: Type: Full-time (On-site only) Working Days: 6 days a week (1 weekly off) Tools Provided: Hot leads + CRM + training + team support Why Join Us? ✅ Hot leads — no need to hunt or cold-call ✅ High incentive potential for top performers ✅ Learn and grow in the stock market education industry ✅ Friendly & performance-based culture ✅ Get trained by India’s top Gann/time-cycle mentor If you love sales and want to build a strong career in the booming world of stock market education, apply now and grow with us. Regards, Sandeep Sharma HR Manager Ruchir Gupta Training Academy Pvt. Ltd. Website: ruchirgupta.co.in YouTube: Ruchir Gupta Official

AI Solutions Architect with total of around 10-15 years of experience and atleast 5-8 years of relevant data science, analytics and AI/ML. • 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. Standard Skills: In-depth understanding of manufacturing workflows, production planning, and quality control. Familiarity with ISA-95 and ISA-88 standards for manufacturing systems. Experience working with shop floor automation and IoT devices. Good To have skills: MES Certifications, AI/ML, regulatory experience, and emerging technologies like IoT or edge computing.

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.