18 Synthetics Jobs nearby Madurai

As an Alerts Manager at Societe Generale, your main mission is to handle all the alerts generated by the Filtering platform within the sanctions / embargos filtering framework to contribute to SG Group financial safety. You will also participate in the analysis and operational translation of Group Compliance filtering instructions, Filtering platform evolution projects, and quality controls. - Analyze the relevance of the alerts generated in the transaction screening and escalate relevant cases to Level 2 compliance. - Perform L1 analysis on alerts generated by filtering third parties databases against S/E lists, including researching companies, entities, and individuals. - After a training period, actively participate in the analysis of the filtering guideline established by Group Compliance, translate guidelines into concrete actions, and present a synthetic vision of the operational application of the guideline. - Participate in evolution projects concerning the Filtering platform and filtering processes, positioning as a "pilot" within the alerts managers team on new platform features. - Work in a dynamic environment and take on challenging tasks. - Ability to conduct in-depth analysis on transactions. - Good communication skills to interact with US counterparts. - Willingness to learn, upskill, and support across all shifts from Asian to US markets. - Strong written and oral communication skills to write detailed reports. - Basic computer skills, preferably knowledge of Excel. - Knowledge of SWIFT and FEDWIRE are advantageous.,

As a Generative AI Engineer, you will be responsible for building, deploying, and optimizing multimodal AI services across text, speech, and vision. Your work will involve tasks such as working on RAG, synthetic data generation, agent workflows, and integrating STT/TTS/OCR with scalable backend systems. Key Responsibilities: - Design applications for RAG, CAG, text classification, summarization, image/video generation, OCR, and synthetic data generation in generative pipelines. - Work with STT, TTS, IVR, OCR, and vision inputs to enable seamless AI interactions in multimodal integration. - Develop modular, multi-step orchestrations for document, conversational, and data-based user journeys in AI agent workflows. - Collaborate with DevOps to containerize services, manage Kubernetes orchestration, and implement CI/CD for agile delivery in containerization & deployment. - Instrument services using OpenTelemetry, Prometheus, and logging tools to ensure SLO-driven production reliability in observability. - Work cross-functionally with product, data science, and frontend teams to define APIs (REST/GraphQL) and ensure smooth integration in collaboration. - Participate in architecture reviews, write clear documentation, and mentor junior engineers and interns in documentation & mentorship. Qualifications Required: - Bachelor's/Masters in Computer Science, Data Science, IT, or related field. - 2-3 years of experience building AI/ML products in Python. - Proficiency in AI-first coding tools like Claude Code, Cursor, Roocode, etc. - Proven experience in deploying GenAI applications and agents in production. - Strong hands-on experience with vector search, embedding-based retrieval, STT, TTS, OCR/vision. - Familiarity with Docker, Kubernetes, frontend development, and CI/CD workflows. - Strong debugging, performance tuning, and cost-optimization skills. - Excellent communication, teamwork, and mentoring abilities. Technical Stack: - Languages & Tools (mandatory): Python (pandas, scikitlearn, PyTorch, Tensorflow, etc.), Git/GitHub, AWS or GCP. - Generative AI stack (mandatory): LangChain, LlamaIndex, transformers, frontier LLMs (OpenAI, Anthropic, Gemini models) and open models (DeepSeek, Qwen, Llama and Phi models). - Vector stores: FAISS, Pinecone, Qdrant, Weaviate, etc. - Keyword Index: Elasticsearch, Apache Solr, Typesense, etc. - Validation frameworks: Pydantic, Instructor, etc. - LLM Abstraction libraries: LiteLLM - Asynchronous or parallel programming: asyncio, joblib, etc. - API frameworks: FastAPI, Flask, etc. - FE prototyping: Streamlit, Gradio, etc. - Agentic AI Frameworks (mandatory): Google Agents Development Kit, LangGraph, OpenAI Agents SDK, PydanticAI. Additional Details of the Company: - Domain experience in AgriTech, FinTech, HRTech, or EduTech is a bonus. - Experience and profound interest in reading and implementing research papers are valued. - Opensource contributions or published evaluation suites are appreciated. - Exposure to managed cloud AI services (Vertex AI, Bedrock, JumpStart) is beneficial. - Familiarity with React/Next.js integration is a plus.,

As an Office Assistant at the company, you will play a crucial role in handling various clerical tasks within the office environment. Your primary responsibilities will include: - Managing incoming phone calls and other communications - Welcoming clients and visitors - Organizing and updating files and documents - Undertaking general office clerk duties and errands To excel in this role, you must possess the following qualifications: - Ability to communicate clearly and effectively - Proficiency in using word processing applications - Positive and welcoming demeanor - Strong interpersonal skills Your day-to-day tasks will involve: - Handling incoming calls and messages - Maintaining the filing system - Recording necessary information - Greeting visitors - Updating paperwork - Assisting in organizing office spaces Additionally, you will be responsible for: - Managing office supplies - Coordinating travel arrangements - Supporting with client reception when required If you have prior experience as a virtual assistant and are adept at creating, updating, and managing databases, your skills will be particularly beneficial in this role. Your attention to detail, organizational abilities, and willingness to assist in various office-related tasks will contribute to the smooth functioning of the office operations.,

As a Hands-on developer, you will be responsible for building models in complex data environments with unambiguous requirements and enjoying working with data. Your main responsibilities will include: - Applying advanced causal inference techniques such as uplift modeling, propensity scoring, and Bayesian methods to enhance outage predictions measurement. - Developing forecasting models for predicting outages performance, resource allocation impacts, and long-term customer impacts for operations teams. - Improving ad testing methodologies like A/B testing, synthetic control experiments, and incrementally testing to accurately measure efficiency. - Optimizing operational team decisioning using reinforcement learning, Bayesian optimization, and econometric modeling. - Collaborating with data engineers to scale and automate model deployment, integrating ML solutions into production environments. Your qualifications should include: - Bachelor's Degree in a Quantitative Field (math, statistics, economics, computer science, physics, engineering, etc.) is required. - Master's/Advanced Degree in a Quantitative Field (math, statistics, economics, computer science, physics, engineering) is preferred. - Proven experience in Fault Prediction models, focusing on attribution modeling, causal inference, and model mix optimization. - Strong background in machine learning, fault metrics, and statistical modeling RAN applications. - Expertise in Python, SQL, and cloud platforms (Azure, Snowflake, Databricks) for scalable modeling and data processing. - Experience with experimental design and incrementality testing in telecom RAN networking subject areas. - Ability to effectively communicate complex data science concepts to both technical and non-technical stakeholders, influencing business decisions. Please note that the job is located in Chennai with work hours from 06:00 PM to 02:00 AM IST.,

As an ETL Testing professional with 6 to 12 years of experience, you will be responsible for developing self-service data provisioning utilities using Java, Groovy, or Python. Your role will involve performing Test Data Management functions such as Data Setup, developing methods for data provisioning, building frameworks for Data Mining and Data Reservation, and architecting TDM solutions. You will be required to provide data provisioning for Domain and Enterprise-wide applications, including Data Discovery, Data Masking, and Data Subset, as well as architecting Gold Copy databases and Data Stores for quick data provisioning. Key Responsibilities: - Develop test data design recommendations and solutions - Execute against test data management plans and test data governance - Develop test data management solutions, plans, and strategies for test data lifecycle - Manage test data discovery, analysis, generation, masking, sub-setting, validation, defect resolution, refresh, archival, and purge - Implement data masking and synthetic data generation using TDM tools like Informatica Test Data Management, Genrocket, or similar enterprise tools - Service test data requests based on assigned priorities - Write queries to validate data accuracy using SQL and API services (Elastic Search) - Possess strong working experience in Core Java, Groovy, or Python scripting - Be well-versed with all common RDBMS and Cloud data sources - Implement and support technical capabilities, repeatable processes, and best practices to support test data management Qualifications Required: - 6 to 12 years of experience in ETL Testing - Key skills in TDM, ETL, SQL, GenRocket, Groovy, and Core Java or Python - Demonstrated experience in implementing data masking and synthetic data generation using TDM tools - Strong knowledge of Core Java, Groovy, or Python scripting - Familiarity with common RDBMS and Cloud data sources Please note that additional details about the company are not mentioned in the provided job description.,

Role Overview: As a Research Associate / Executive in the API Research & Development (R&D) team, your main responsibilities will include chemical synthesis, process optimization, and scale-up of Active Pharmaceutical Ingredients (APIs). You will be tasked with designing and executing synthetic routes, improving process efficiency, and ensuring cost-effectiveness. Your role will also involve analyzing and characterizing products using advanced analytical techniques such as HPLC, GC, while maintaining regulatory and quality compliance throughout the development process. Collaborating with cross-functional teams to facilitate smooth technology transfer and troubleshooting will be a key aspect of your work. Key Responsibilities: - Design and execute synthetic routes for API development - Improve process efficiency and ensure cost-effectiveness - Analyze and characterize products using advanced analytical techniques such as HPLC, GC - Maintain regulatory and quality compliance throughout the development process - Collaborate with cross-functional teams to facilitate technology transfer and troubleshooting Qualifications: - M.Sc. in Chemistry (Organic / Analytical / Pharmaceutical) - Strong proficiency in laboratory techniques, purification methods, and analytical tools - Hands-on experience with HPLC, GC, and spectroscopic techniques,

Role Overview: You will be responsible for owning the full ML stack to transform raw dielines, PDFs, and e-commerce images into a self-learning system that can read, reason about, and design packaging artwork. You will work closely with packaging designers and a product manager as the technical authority on deep learning for this domain. Key Responsibilities: - Data & Pre-processing (40%): - Write robust Python scripts for parsing PDF, AI, SVG files and extracting text, color separations, images, and panel polygons. - Implement pipelines using Ghostscript, Tesseract, YOLO, and CLIP. - Automate synthetic-copy generation for ECMA dielines. - Maintain vocabulary YAMLs and JSON schemas. - Model R&D (40%): - Modify LayoutLM-v3 heads for panel identification, bounding box regression, color, and contrastive features. - Build panel-encoder pre-training for mask-panel prediction. - Add Graph-Transformer & CLIP-retrieval heads, with an optional diffusion generator. - Conduct experiments, hyper-parameter sweeps, ablations, and track KPIs such as IoU, panel-F1, and color recall. - MLOps & Deployment (20%): - Package training and inference into Docker/SageMaker or GCP Vertex jobs. - Maintain CI/CD pipelines, experiment tracking using tools like Weights&Biases or MLflow. - Serve REST/GraphQL endpoints for designers and web front-end calls. - Implement an active-learning loop for ingesting designer corrections nightly. Qualification Required: - Must-Have: - 5+ years of experience in Python, with at least 3 years in deep learning using PyTorch and Hugging Face. - Hands-on experience with Transformer-based vision-language models like LayoutLM, Pix2Struct, and object-detection pipelines such as YOLOv5/8 and DETR. - Proficiency in hacking PDF/SVG tool-chains like PyMuPDF, Ghostscript, OpenCV, etc. - Experience in designing custom heads/loss functions and fine-tuning pre-trained models on limited data. - Strong knowledge of Linux and GPU operations, with familiarity in graph neural networks or relational transformers. - Clear understanding of Git and code-review discipline for reproducible experiments. - Nice-to-Have: - Knowledge of color science, print production, multimodal retrieval, diffusion fine-tuning, or packaging/CPG industry exposure. - Experience with FAISS or similar vector search, and AWS/GCP ML tooling. - Familiarity with Typescript/React front-ends for label-preview UIs. Company Additional Details: The company's tool stack includes various primary tools like PyTorch, Hugging Face Transformers, torch-geometric for DL frameworks, PyMuPDF, pdfplumber, OpenCV for parsing/CV, Tesseract, YOLOv8, CLIP/ImageBind + FAISS for OCR/Detectors and retrieval, and Docker, GitHub Actions, W&B or MLflow, AWS SageMaker/GCP Vertex for MLOps. In the first 6 months, you will be expected to deliver a data pipeline v1 converting over 500 ECMA dielines and 200 PDFs into training-ready JSON, a panel-encoder checkpoint with less than 5% masked-panel error, an MVP copy-placement model achieving 85% IoU on validation, and a REST inference service with a designer preview UI for drafting artwork for one SKU. Reporting & Team: You will report to the Head of AI or CTO and collaborate with a front-end engineer, a product manager, and two packaging-design SMEs.,

Role Overview: As a Backup Administrator at Expeditors, you will be a key member of the Data Center Infrastructure Team responsible for managing essential infrastructure to meet the growing demand to move freight. Your role will involve monitoring, supporting, troubleshooting, installing, and deploying Cohesity and Commvault Backup systems. Key Responsibilities: - Hands-on experience with Hitachi Data Protection Suite, Commvault, and Cohesity backup platforms. - Strong understanding of backup and recovery strategies, including data protection, retention, and restoration practices. - Proficient in configuring, troubleshooting, and maintaining backup policies, schedules, and job monitoring. - Perform hardware maintenance, repairs, & replacements. - Deep understanding of data protection workflows, including full, incremental, differential, and synthetic backups. - Experience with recovery methods, including point-in-time recovery, bare-metal restore, and disaster recovery (DR) processes. - Familiarity with deduplication and compression techniques to optimize storage and backup performance. - Ability to proactively monitor backup job performance, resolve failures, and ensure consistent success rates. - Proficiency in diagnosing and resolving backup-related issues such as missed jobs, incomplete backups, and failed restores. - Ability to optimize backup performance by fine-tuning parameters, troubleshooting bottlenecks, and enhancing overall system efficiency. - Experience with load balancing and backup throughput optimization. - Configuring and managing Auxiliary copy backups from Disk to tapes. - Firmware upgrade activities with respect to the backup environment. Qualification Required: Minimum Qualifications: - Experience with Cohesity backup solutions. - Experience with Commvault backup solutions. - Ability to work collaboratively in an agile team environment. - Ability to work in a fast-paced environment with minimal supervision. - Excellent written and oral communication skills. - Knowledge of backup strategies and products. - An aptitude for methodical and comprehensive troubleshooting. - Bachelor's degree in computer science or equivalent experience. Desired Qualifications: - Experience with agile (SAFe) project planning. - Practiced in designing and implementing business continuity / disaster recovery and high availability plans. - Ability to assess backup storage requirements and plan for capacity expansion based on growing data volumes. - Experience with managing backup storage hardware, including tape libraries and disk arrays. - Good to have knowledge on Service Now handling and Cloud Solutions.,

As the Head of Product Development at NC John, a 100-year-old heritage company and a global leader in natural fiber products like coir, jute, and sisal, your role will be crucial in driving innovation within the natural flooring division. Your ability to blend design thinking, technical expertise, and market insight will be essential in creating new and sustainable products for international markets. Key Responsibilities: - Lead end-to-end product development process, from conceptualization and sampling to production. - Conduct research on new fibers, weaves, finishes, and backing techniques. - Collaborate with international buyers and design partners to develop exclusive collections. - Work closely with manufacturing teams in Alleppey and Tuticorin to bring product ideas to fruition. - Stay updated on global trends in flooring and interior design to drive innovation. - Provide support to marketing teams by offering product specifications and aiding in visual storytelling. Requirements: - Minimum of 8 years of experience in product development or design within the flooring, textiles, or home furnishings industry. - Strong knowledge of coir, jute, or sisal-based production processes. Familiarity with tufting and synthetic fibers is advantageous. - Ability to harmonize design aesthetics with commercial objectives. - Hands-on experience in developing export-quality products. - Must possess a curious, detail-oriented mindset and a passion for sustainable materials. Join NC John to be a part of a century-old brand that is evolving to meet the demands of sustainable design. You will have the opportunity to collaborate directly with leadership and creative teams on global projects, shaping products that blend heritage, craft, and innovation. If you are interested in this exciting opportunity, please send your CV to yakov@ncjohn.com with the title "Head of Product Development".,

You are a Civil Project Manager responsible for overseeing the delivery of sports courts construction projects for Fitoverse Private Limited in Salem, Tamil Nadu, with frequent site visits across South India. Fitoverse specializes in building sports infrastructure and managing turnkey projects for schools, clubs, and communities, focusing on creating inspiring play courts with efficient execution. **Key Responsibilities:** - Take charge of end-to-end project delivery including planning, execution, and handover. - Develop, monitor, and update project schedules, budgets, and progress reports. - Coordinate subcontractors, vendors, and on-site teams to maintain quality and safety standards. - Create and interpret basic AutoCAD drawings for site execution. - Conduct and verify dumpy leveling and other site survey checks, translating results into actionable steps. - Utilize project management tools such as MS Project, Primavera, Procore, Google Sheets, or equivalent for task logging, risk management, and communication. - Provide project status reports to founders/operations and swiftly address on-site issues. - Ensure timely procurement input and material inspections. **Qualifications Required:** - Minimum 3 years of experience in civil/project management, preferably in sports infrastructure or similar projects. - Proficiency in site surveying techniques like dumpy leveling. - Basic knowledge of AutoCAD for site markups and layouts. - Familiarity with project management tools like MS Project, Primavera, Procore, or structured Google Sheets workflows. - Fluency in Hindi (verbal & basic written) to coordinate with Hindi-speaking crews/vendors. - Strong communication, problem-solving, and vendor management skills. - Possession of a valid driver's license and readiness to travel frequently for site visits. **Nice to Have:** - Experience with sports flooring projects such as synthetic turf, acrylic courts, PP tiles. - Safety or site-supervision certifications. - Fluency in Tamil and English for enhanced local coordination. Fitoverse Private Limited is seeking a proactive and detail-oriented Civil Project Manager to ensure the successful completion of sports infrastructure projects. If you possess the required skills and experience, and are willing to commit full-time to the role, please apply via email to monikavenkat14@gmail.com.,

Job Description: As an experienced professional with 15 to 23 years of expertise in Vision AI Solution, Nvidia, Computer Vision, Media, and Open Stack, you will play a crucial role in defining and leading the technical architecture for vision-based AI systems across edge and cloud environments. Your responsibilities will include designing and optimizing large-scale video analytics pipelines, architecting distributed AI systems, collaborating with cross-functional teams to develop scalable AI solutions, leading efforts in model optimization, integrating multi-modal AI, guiding platform choices, mentoring senior engineers, staying updated with emerging technologies, and contributing to internal innovation strategy. Key Responsibilities: - Define and lead the end-to-end technical architecture for vision-based AI systems across edge and cloud. - Design and optimize large-scale video analytics pipelines using NVIDIA DeepStream, TensorRT, and Triton Inference Server. - Architect distributed AI systems, including model training, deployment, inferencing, monitoring, and continuous learning. - Collaborate with product, research, and engineering teams to translate business requirements into scalable AI solutions. - Lead efforts in model optimization (quantization, pruning, distillation) for real-time performance on devices like Jetson Orin/Xavier. - Drive the integration of multi-modal AI (vision + language, 3D, audio) where applicable. - Guide platform choices (e.g., edge AI vs cloud AI trade-offs), ensuring cost-performance balance. - Mentor senior engineers and promote best practices in MLOps, system reliability, and AI observability. - Stay current with emerging technologies (e.g., NeRF, Diffusion Models, Vision Transformers, synthetic data). - Contribute to internal innovation strategy, including IP generation, publications, and external presentations. Qualification Required: - Deep expertise in computer vision, deep learning, and multi-modal AI. - Proven hands-on experience with NVIDIA Jetson, DeepStream SDK, TensorRT, Triton Inference Server, TAO Toolkit, Isaac SDK, CUDA, cuDNN, PyTorch, TensorFlow, OpenCV, GStreamer, and GPU-accelerated pipelines. - Experience deploying vision AI models at large scale (e.g., 1000+ cameras/devices or multi-GPU clusters). - Skilled in cloud-native ML infrastructure: Docker, Kubernetes, CI/CD, MLflow, Seldon, Airflow. - Proficiency in Python, C++, CUDA (or PyCUDA), and scripting. - Familiarity with 3D vision, synthetic data pipelines, and generative models (e.g., SAM, NeRF, Diffusion). - Experience in multi modal (LVM/VLM), SLMs, small LVM/VLM, Time series Gen AI models, Agentic AI, LLMOps/Edge LLMOps, Guardrails, Security in Gen AI, YOLO/Vision Transformers. (Note: Additional Details section omitted as it does not contain relevant details for the job description),

Role Overview: As a Transformation Architect/Lead at Wipro Limited, your role is crucial in ensuring the success of technical architecture by leveraging your extensive knowledge of enterprise networking systems, advanced problem-solving skills, and exceptional project management abilities. You will be responsible for designing and implementing systems of any scale to meet the specific needs of clients efficiently. Key Responsibilities: - Possessing 15+ years of experience in Quality Engineering and Testing, covering manual, automation, non-functional, and digital testing. - Demonstrating a proven track record in managing large QET programs and spearheading Quality engineering transformation initiatives for clients. - Expertise in utilizing various open source and automation tools such as Selenium (Java/C#/Python) + AI, Playwright + MCP, AI/ML validation skills, explainability, synthetic data generation, continuous testing, GENAI, and AI technologies. - Hands-on experience with AI tools like GitHub Copilot and NLP-based test automation, with exposure to building Agentic AI solutions. - Proficiency in test data management, test environments, service virtualization, cloud platforms (AWS, Azure), DevOps tools, and AI-led QA innovations. - Experience in shaping opportunities by converting Staff-Aug/T&M to Managed Services/Innovation-driven outcomes and leading end-to-end solutioning for testing large deals (>10Mn USD annual revenue). - Knowledge of domains such as Banking, Retail, Healthcare, Telecom, along with a minimum of 5 years of Presales/End-to-End Solution experience, specifically in testing. - Preferred certifications include ISTQB Advanced, Certified Scrum Master, TOGAF, AWS/Azure Architect. - Exposure to collaborating with senior VP level stakeholders in customer organizations and internally. - Excellent oral communication and technical writing skills, along with a deep understanding of market trends, technical solutions, and automation tools. - Building connections with analysts and tool vendors is considered an added advantage. - Must be self-motivated, capable of working as an individual contributor, and willing to travel when required. Qualifications Required: - Mandatory Skills: Selenium - Experience: >10 YEARS In your journey with Wipro Limited, you will be part of a modern organization focused on digital transformation and reinvention. Join us in building a future-ready, sustainable business that empowers you to continuously evolve and design your own reinvention.,

You are passionate about advancing the field of AI and speech processing. As an AI Scientist at Zudu AI, you will have the opportunity to design, build, and optimize cutting-edge speech and conversational AI models. Your work will involve a wide range of responsibilities, from research and development to system integration and experimentation. **Key Responsibilities:** - **Research & Development** - Develop and fine-tune speech recognition (ASR), text-to-speech (TTS), and natural language understanding (NLU) models. - Build multi-turn conversational AI systems capable of contextual reasoning, grounding, and emotional intelligence. - Explore and implement retrieval-augmented generation (RAG) and memory-based dialogue systems for long-term contextuality. - Research prosody, emotion, and style transfer in speech synthesis for natural human-like delivery. - Evaluate and integrate open-source models (e.g., Whisper, Bark, FastSpeech, VITS, GPT-family models). - **System & Data Integration** - Work closely with platform engineers to deploy models in low-latency, production-grade environments. - Optimize inference performance on cloud and edge systems using quantization, distillation, and caching strategies. - Collaborate with the voice pipeline team to align model outputs with telephony and CPaaS audio protocols. - **Experimentation & Evaluation** - Design and conduct experiments to benchmark accuracy, naturalness, latency, and engagement. - Lead data annotation and synthetic voice data generation projects to improve training quality. - Publish findings internally (and externally when possible) to maintain Zudu AI's leadership in enterprise voice automation. **Preferred Qualifications:** - Masters or Ph.D. in Computer Science, AI, Speech Processing, or Computational Linguistics. - Strong background in deep learning, transformer architectures, and reinforcement learning. - Hands-on experience with PyTorch, TensorFlow, or JAX. - Expertise in ASR, TTS, NLP, or Emotion-aware AI. - Understanding of LLM fine-tuning, prompt engineering, and retrieval systems. **Nice-to-Have:** - Prior experience in telephony or conversational AI products. - Contributions to open-source speech or NLP projects. - Understanding of low-latency voice streaming pipelines. - Exposure to emotion detection, sentiment analysis, or paralinguistic research. **Soft Skills:** - Curiosity and scientific rigor. - Ability to translate research into deployable, scalable solutions. - Collaborative mindset and excellent communication skills. Join Zudu AI in revolutionizing voice automation and contribute to building human-like AI agents that redefine customer interactions. You are passionate about advancing the field of AI and speech processing. As an AI Scientist at Zudu AI, you will have the opportunity to design, build, and optimize cutting-edge speech and conversational AI models. Your work will involve a wide range of responsibilities, from research and development to system integration and experimentation. **Key Responsibilities:** - **Research & Development** - Develop and fine-tune speech recognition (ASR), text-to-speech (TTS), and natural language understanding (NLU) models. - Build multi-turn conversational AI systems capable of contextual reasoning, grounding, and emotional intelligence. - Explore and implement retrieval-augmented generation (RAG) and memory-based dialogue systems for long-term contextuality. - Research prosody, emotion, and style transfer in speech synthesis for natural human-like delivery. - Evaluate and integrate open-source models (e.g., Whisper, Bark, FastSpeech, VITS, GPT-family models). - **System & Data Integration** - Work closely with platform engineers to deploy models in low-latency, production-grade environments. - Optimize inference performance on cloud and edge systems using quantization, distillation, and caching strategies. - Collaborate with the voice pipeline team to align model outputs with telephony and CPaaS audio protocols. - **Experimentation & Evaluation** - Design and conduct experiments to benchmark accuracy, naturalness, latency, and engagement. - Lead data annotation and synthetic voice data generation projects to improve training quality. - Publish findings internally (and externally when possible) to maintain Zudu AI's leadership in enterprise voice automation. **Preferred Qualifications:** - Masters or Ph.D. in Computer Science, AI, Speech Processing, or Computational Linguistics. - Strong background in deep learning, transformer architectures, and reinforcement learning. - Hands-on experience with PyTorch, TensorFlow, or JAX. - Expertise in ASR, TTS, NLP, or Emotion-aware AI. - Understanding of LLM fine-tuning, prompt engineering, and retrieval systems. **Nice-to-Have:** - Prior experience in telephony or conversational AI products. - Contributions to open-source speech or NLP projects. - Understanding of low-latency voice streaming pipeline

As a Fabric and Material Selection Specialist, your role involves sourcing and advising on the selection of suitable natural and synthetic textiles. You will ensure that the chosen textiles are fit for purpose and meet quality standards. Your responsibilities will include: - Collaborating with designers and manufacturers to translate concepts into producible garments - Suggesting design modifications and advising on construction methods - Overseeing fabric testing and conducting quality checks on samples and finished products - Analyzing returns to address faults - Ensuring efficient production within budget and to the correct specifications - Implementing and advising on sustainable practices within the development and production processes - Providing technical advice to designers and other teams regarding materials, construction techniques, and potential production challenges - Ensuring the correct technical documentation is used and followed throughout the garment creation process In addition, the company emphasizes sustainability practices and values quality control to deliver high-quality products to customers. The role requires someone within the age range of 20 to 29. Qualifications Required: - Bachelor's degree in Textile Engineering or related field - Strong knowledge of fabric types and their properties - Experience in garment production and quality control processes - Familiarity with sustainable practices in the textile industry - Excellent communication and collaboration skills As a Full-time, Permanent, and Fresher position, you will also receive health insurance benefits. The work location is in person.,

As a Synthetics MO Assistant Manager at our company, you will be responsible for managing a crucial reconciliation process within the Prime Synthetics business. Your role will involve handling internal and external risks associated with FOBO/FOFO/BOBO/external related reconciliations. You are expected to take complete ownership of your work, identify process enhancements, and address key issues strategically. Key Responsibilities: - Perform internal and external reconciliations to cover associated risks. - Manage the end-to-end process of exception management and ensure root causes are identified for all Day 1 breaks. - Investigate, escalate, and report breaks promptly, ensuring SOPs, audits, and logic reviews are closed within timelines. - Execute periodic reviews with stakeholders to ensure risks are properly covered and exceptions are closed on time. Desirable Skill Sets: - Thorough understanding of the Equity/CIB/ETF business from front to back. - Strong coordination skills with internal and external counterparts. - Ability to identify exceptions accurately and conduct root cause analysis for each break affecting the reconciliation process. - Capability to promptly close exceptions and handle escalated breaks within designated timeframes. - Proactive approach to idea generation and commitment to contributing to process development. In this role based out of Chennai, your purpose is to support business areas with day-to-day processing, reviewing, reporting, trading, and issue resolution. Accountabilities: - Support various business areas with day-to-day initiatives. - Collaborate with teams across the bank to align operational processes. - Identify areas for improvement and provide recommendations in operational processes. - Develop and implement operational procedures and controls to mitigate risks. - Develop reports and presentations on operational performance and communicate findings to internal senior stakeholders. - Identify industry trends and implement best practices in banking operations. - Participate in projects and initiatives to improve operational efficiency. Analyst Expectations: - Perform activities in a timely manner and to a high standard for continuous improvement. - Demonstrate in-depth technical knowledge and experience in assigned area. - Lead and supervise a team, guiding professional development and coordinating resources. - Take responsibility for end results of a team's operational processing and activities. - Escalate breaches of policies/procedures appropriately. - Take ownership for managing risk and strengthening controls. - Demonstrate understanding of how own sub-function integrates with function and organization's products, services, and processes. - Resolve problems by identifying solutions through acquired technical experience. - Act as a contact point for stakeholders outside the immediate function. You are expected to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset to Empower, Challenge, and Drive.,

Role Overview: As the AI Quality & Safety Engineering Lead, your primary responsibility is to ensure that AI systems across the enterprise are safe, fair, reliable, compliant, and observable from prerelease through continuous operations. You will be designing and operating enterprise evaluation frameworks, leading redteaming and guardrail development, encoding policy and regulatory requirements as automated checks, and driving metric reporting and post-incident learning across AI programs. Your role will involve partnering closely with various teams such as Enterprise Architecture, Compliance, Legal/Privacy, Security, Data Governance, and product/engineering teams to enforce quality and safety gates and enable responsible scale, all aligned to Corporate Policy and Responsible AI principles. Key Responsibilities: - Define and run evaluation frameworks for LLMs and multi-modal systems covering performance, fairness, bias, robustness, safety, and privacy. - Build automatic + human-in-the-loop evaluation pipelines with reproducible scoring, statistical significance, and error analysis. - Establish SLOs/SLIs for quality (e.g., grounded accuracy, hallucination rate, privacy leak rate, harmful-content rate). - Design and run red-teaming against prompt injection, jailbreaks, sensitive data leakage, tool-abuse, and retrieval abuse. - Develop guardrail solutions (classification, content safety, PII/PHI detection, grounding checks, allow/deny lists, rate limiting, output filtering) to mitigate hallucinations, leakage, and compliance violations. - Operate prerelease evaluation gates with baselines, regression checks, canary/AB testing, and rollback criteria. - Run continuous evaluation in production with synthetic & real traffic (shadow/ghost testing) and drift, bias, and toxicity monitoring. - Partner with Enterprise Architects, AI Platforms and Compliance/Legal to encode policies as automated checks in CI/CD (policy-as-code) and runtime enforcement. - Coach product teams on responsible AI practices and establish quality ownership norms. - Build a community of practice across Engineering, Security, Data Governance, and Risk standardizing test data, benchmarks, and review rituals. - Mentor engineers building evaluation, red-team, and guardrail capabilities. Qualifications Required: - 7+ years in ML/AI/Platform/Quality roles, including 3+ years evaluating production systems. - Advanced degree in Computer Science, Engineering, or related discipline. - Proven design & operation of evaluation harnesses and policy-as-code checks in CI/CD. - Hands-on Python and expertise with evaluation and safety tooling such as OpenAI Evals, Ragas/LangSmith, DeepEval, Azure AI Content Safety / OpenAI Moderation, Presidio, Guardrails.ai, Nemo, MLFlow, Grafana, Kibana, Azure monitor. - Strong grasp of red-team techniques (prompt/indirect injection, jailbreaks, training data extraction, membership inference, model poisoning, tool abuse). - Cloud & MLOps experience: Azure/AWS, CI/CD (GitHub Actions/Azure DevOps, feature stores, vector DBs), testing in pipelines. - Regulatory literacy (e.g., GDPR, EU AI Act readiness), and experience collaborating with Compliance/Risk, Security, and Legal. - Excellent communication skills with executives and engineers. - Experience leading an engineering team. (Note: Preferred qualifications and additional company details have been omitted as per the instructions.),

As a hands-on developer in this role, you will be responsible for building models in complex data environments with unambiguous requirements, focusing on data analysis. You will advance causal inference techniques such as uplift modeling, propensity scoring, and Bayesian methods to enhance outage predictions measurement. Additionally, you will develop forecasting models to predict outages performance, resource allocation impacts, and long-term customer impacts for operations teams. Your role will also involve enhancing ad testing methodologies like A/B testing, synthetic control experiments, and incrementally testing to accurately measure efficiency. You will optimize operational team decisioning by utilizing reinforcement learning, Bayesian optimization, and econometric modeling. Collaboration with data engineers to scale and automate model deployment, integrating machine learning solutions into production environments is a key aspect of this position. Qualifications Required: - Bachelor's Degree in a Quantitative Field (math, statistics, economics, computer science, physics, engineering, etc.) is required. - Master's/Advanced Degree in a Quantitative Field (math, statistics, economics, computer science, physics, engineering) is preferred. - Proven experience in Fault Prediction models, with a focus on attribution modeling, causal inference, and model mix optimization. - Strong background in machine learning, fault metrics, and statistical modeling in RAN applications. - Expertise in Python, SQL, and cloud platforms (Azure, Snowflake, Databricks) for scalable modeling and data processing. - Experience with experimental design and incrementality testing in telecom RAN networking subject areas. - Ability to communicate complex data science concepts to both technical and non-technical stakeholders, influencing business decisions. Please note that the work hours for this position are from 06:00 PM to 02:00 AM IST. This job description is provided by hirist.tech.,

As a results-driven sales representative, your role will involve actively seeking out and engaging customer prospects. You will be responsible for presenting, promoting, and selling products/services to both existing and prospective customers. Your key responsibilities will include: - Presenting, promoting, and selling products/services using solid arguments - Performing cost-benefit and needs analysis for customers - Establishing and maintaining positive business and customer relationships - Reaching out to customer leads through cold calling - Resolving customer problems and complaints efficiently - Achieving sales targets within the specified schedule - Coordinating sales efforts with team members and other departments - Analyzing territory markets potential and tracking sales reports - Providing management with reports on customer needs, interests, and competitive activities - Staying updated on best practices and promotional trends - Continuously improving through feedback If you have any additional company details mentioned in the job description, please provide for a more comprehensive job description.,