438 Summarization Jobs - Page 16

Basic Function Claims Litigation Support Services to US P&C Insurance Carrier Providing following Claims Litigation Support Services – Open/Close/Transfer cases Order Medical/Other records and follow-up Record Chronology and Summarization Litigation/Subpoena document review including redactions and privilege logs Interrogatories responses Legal correspondence for Attorney/Paralegal use during litigation Document management Claim File transfer Legal bill review Scheduling, Calendar management and Deposition scheduling/summarization Common Function Achieve individual productivity and quality goals Participate in training initiatives to develop knowledge Integrate procedural changes into daily routine Support other team members in meeting service expectations Adhere to Company policies and procedures Technical Skills Good understanding of law and legal concepts Strong legal analytical skills Excellent legal writing skills Process Specific Skills Exposure to litigation process and legal documentation Awareness of processes like e-discovery & document review Ability to effectively work using desktop computer system, especially Microsoft Office with prior experience of working on client’s interface/tool Soft Skills (Desired) Proficient in legal knowledge and its application Eye for detail Good understanding of US legal system Good understanding of US law and legal concepts Good understanding of US litigation (including e-discovery) and legal documents Excellent English communication skills – written and spoken Good knowledge of MS Word, Excel, and good keyboarding speed Basic knowledge of using the internet, web browsers, and search engines Proficient in working independently Soft Skills (Minimum) Basic understanding of law Analytical and mathematical mind set Proficient with MS Excel Good English communication skills Spirit of collaboration and team work Trainability Ability to work independently Show more Show less

🚀 Job Title: Senior AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the Senior AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-4 years of experience in building and deploying AI/ML systems, with at least 1-2 years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – Senior AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world. Show more Show less

🚀 Job Title: Lead AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the Lead AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – Lead AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world. Show more Show less

Join the Virtual Drive At TCS 28 may 2025 for skill Contact Center Configuration analyst---- Contact Center Technical SME for PAN INDIA location exp req:5+ yrs job Location:PAN INDIA JD Key Responsibilities - Serve as the technical expert for contact center platforms (e.g., Genesys, Avaya, Cisco, Amazon Connect, NICE CXone, five9). - Configure and maintain IVRs, call flows, routing strategies, agent profiles, and AI-powered virtual agents. - Collaborate with business and AI teams to design and implement Conversational AI solutions using platforms like Google Dialogflow, Amazon Lex, or Microsoft Bot Framework - Participate in RFP and proactive deals to provide solutions across contact center - Integrate Generative AI capabilities (e.g., OpenAI, Azure OpenAI, Google Vertex AI) for use cases such as agent assist, auto-summarization, sentiment analysis, and knowledge base generation. - Support the deployment and tuning of AI models for real-time and post-call analytics. - Ensure seamless integration between AI tools, CRM systems, and contact center platforms. - Monitor and optimize AI performance, ensuring high accuracy and customer satisfaction. - Maintain documentation for AI workflows, configurations, and system changes. - Stay current with emerging AI trends and recommend innovative solutions. Show more Show less

Hello Visionary! We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make an outstanding addition to our vibrant team. Siemens Mobility is an independent run company of Siemens AG. Its core business includes rail vehicles, rail automation and electrification solutions, turnkey systems, intelligent road traffic technology and related services. In Mobility, we help our customers meet the need for hard-working mobility solutions. We’re making the lives of people who travel easier and more enjoyable while constantly developing new, intelligent mobility solutions! We are looking for Deputy Commercial Project Manager You’ll make a difference by Responsible for summarized global reporting to the relevant Management level. Documentation in line with the mandatory internal and external requirements. Managing commercial and legal project subjects. Collaboration with the Project Manager in terms of the project's strategic orientation and its respective internal and external communication. Adherence to fiscal, commercial-law and company-internal commercial rules. Commercial project coordination (e.g. application for and follow-up of bank guarantees, insurances, etc.) as well as coordination of legal, fiscal and insurance subjects. Order entry calculation, concurrent costing and final costing. Asset and cash flow management. Correct allocation and monitoring of costs. Preparation of invoices and follow-up of claims. Project-internal controlling (deadlines, costs, quality). Regular project reporting / project status meetings / milestone reviews. Involves in the creation of final project reports and summarization of lessons learned with feedback to the organization. Overall handling of fiscal, currency-related aspects and insurance subjects, involving the responsible department and taking into consideration internal business models. Steers the project's supply chain incl. procurement, delivery and ECC. Wording of the commercial and legal contractual conditions with customers, consortium members and subcontractors. Involves in negotiations as well as interpretation and implementation of contracts in projects. Analysis and assessment of complex, where applicable international contract constellations. Active contract management together with the Project Manager for risks and opportunities. Claim and change order management. Assertion of own claims and prevention of unjustified claims. Agreement on contractual amendments about the scope of supplies and services, prices, deadlines or other contractually stipulated conditions. Identification and financial assessment of opportunities and risks, definition and implementation of suitable measures to reduce risks or realize opportunities, and creation of contingencies for remaining risks, active risk and opportunity management. Desired Skills: You should have minimum experience of 5-8 years with bachelor’s degree in commerce or finance or accounting along with CA/CS/ICWA with basic understanding of Project Management Have SAP and advanced level of Excel skills will have added advantage. Have good communication skill to take care of different customers within/outside organization. Join us and be yourself! We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us. Make your mark in our exciting world at Siemens. This role is based in Pune. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. We're Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow. Find out more about mobility at: https://new.siemens.com/global/en/products/mobility.html and about Siemens careers at: www.siemens.com/careers Show more Show less

Experience Required: 1–3 Years Department: Artificial Intelligence Location: Mumbai - Hybrid About the role We are seeking a passionate and dynamic AI/ML Engineer with 1–3 years of experience , particularly in Generative AI , to join our growing Artificial Intelligence team. In this role, you will collaborate with cross-functional teams to develop innovative AI-driven solutions, leveraging the latest in LLMs, RAG pipelines, and cloud technologies. You will work extensively with frameworks like LangChain, RAGAS, and Hugging Face , and implement solutions using Microsoft Azure services . A deep understanding of transformers, LLMs (such as GPT, LLaMA), and cloud integration is highly desirable. Education Bachelor’s degree in Computer Science , Data Science , Artificial Intelligence , or a related field Certifications in AI/ML or Cloud Technologies (especially Microsoft Azure) are highly desirable Key Responsibilities GenAI Product Development: Build RAG-based AI assistants using LLMs (e.g., GPT, LLaMA) for use cases like chatbots, knowledge management, and personalized user experiences. Prompt Engineering: Design, test, and optimize prompts to control and fine-tune the output behavior of LLMs for different business needs. Generative AI Solutions: Develop AI models for text generation, summarization, and other GenAI applications using tools such as LangChain, Hugging Face, and RAGAS. RAG Implementation: Build and optimize Retrieval-Augmented Generation (RAG) pipelines integrating vector databases and LLMs for enhanced performance and accuracy. Cloud Integration Deploy AI/ML models using Azure services (e.g., Azure ML, Cognitive Services) and utilize cloud-native tools for scaling and monitoring. Collaboration & Knowledge Sharing Work with cross-functional teams to identify business problems and deliver AI-based solutions. Contribute to internal learning by sharing insights on latest research and tools. Required Skills Solid understanding of machine learning and deep learning concepts Hands-on experience with LLMs (GPT, LLaMA) and transformers (e.g., BERT) Strong grasp of LLM API cost, latency, and performance factors Experience with LangChain , Hugging Face , and RAGAS Expertise in designing RAG-based workflows Proficient in Python and libraries like TensorFlow , PyTorch , Pandas Familiarity with frameworks like Django , Flask , Streamlit Hands-on experience with Azure AI/ML services (Azure ML, Cognitive Services) Basic understanding of cloud computing , Docker , and CI/CD pipelines Experience using Microsoft services for chatbot development Strong analytical and problem-solving abilities Excellent communication skills to interact with both technical and non-technical stakeholders Detail-oriented with a growth mindset and willingness to learn Good to have Experience with MLOps tools and practices Understanding of ethical AI and governance frameworks Certifications in AI, ML, or cloud platforms (e.g., Azure AI Engineer) Familiarity with vector databases such as FAISS , Pinecone , etc. Show more Show less

Greetings from TCS!!! TCS is looking for Contact Center Technical SME Job Title - Contact Center Technical SME Experience - 8+ years Location - PAN India Role Overview We are looking for a Contact Center Technical SME with deep expertise in contact center configuration and a strong understanding of AI-driven customer engagement technologies. This role will be instrumental in configuring and optimizing contact center platforms while integrating Virtual Agents, Conversational AI, and Generative AI solutions to enhance customer experience and operational efficiency. Key Responsibilities Serve as the technical expert for contact center platforms (e.g., Genesys, Avaya, Cisco, Amazon Connect, NICE CXone, five9). Configure and maintain IVRs, call flows, routing strategies, agent profiles, and AI-powered virtual agents. Collaborate with business and AI teams to design and implement Conversational AI solutions using platforms like Google Dialogflow, Amazon Lex, or Microsoft Bot Framework Participate in RFP and proactive deals to provide solutions across contact center Integrate Generative AI capabilities (e.g., OpenAI, Azure OpenAI, Google Vertex AI) for use cases such as agent assist, auto-summarization, sentiment analysis, and knowledge base generation. Support the deployment and tuning of AI models for real-time and post-call analytics. Ensure seamless integration between AI tools, CRM systems, and contact center platforms. Monitor and optimize AI performance, ensuring high accuracy and customer satisfaction. Maintain documentation for AI workflows, configurations, and system changes. Stay current with emerging AI trends and recommend innovative solutions. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience). 8+ years of experience in contact center technology with a focus on configuration and system administration. Hands-on experience with contact center platforms and AI tools. Experience implementing Virtual Agents and Conversational AI solutions. Familiarity with Generative AI APIs and frameworks (e.g., OpenAI, Azure OpenAI, Google Cloud AI). Strong understanding of call routing, IVR design, ACD, CTI, and WFM systems. Proficiency in scripting or configuration languages used in contact center platforms. Excellent analytical, problem-solving, and communication skills. Show more Show less

Work From Office only- Jaipur, Rajasthan Must have experience: 4 year+ Should be strongly skilled in FastAPI, RAG, LLM, Generative AI About the Role: We are seeking a hands-on and experienced Data Scientist with deep expertise in Generative AI to join our AI/ML team. You will be instrumental in building and deploying machine learning solutions, especially GenAI-powered applications. Key Responsibilities: - Design, develop, and deploy scalable ML and GenAI solutions using LLMs, RAG pipelines, and advanced NLP techniques. - Implement GenAI use cases involving embeddings, summarization, semantic search, and prompt engineering. - Fine-tune and serve LLMs using frameworks like vLLM, LoRA, and QLoRA; deploy on cloud and on-premise environments. - Build inference APIs using FastAPI and orchestrate them into robust services. - Utilize tools and frameworks such as LangChain, LlamaIndex, ONNX, Hugging Face, and VectorDBs (Qdrant, FAISS). - Collaborate closely with engineering and business teams to translate use cases into deployed solutions. - Guide junior team members, provide architectural insights, and ensure best practices in MLOps and model lifecycle. - Stay updated on latest research and developments in GenAI, LLMs, and NLP. Required Skills and Experience: - 4-8 years of hands-on experience in Data Science/Machine Learning, with a strong focus on NLP and Generative AI. - Proven experience with LLMs (LLaMA 1/2/3, Mistral, FLAN T5) and concepts like RAG, fine-tuning, embeddings, chunking, reranking, and prompt optimization. - Experience with LLM APIs (OpenAI, Hugging Face) and open-source model deployment. - Proficiency in LangChain, LlamaIndex, and FastAPI. - Understanding of cloud platforms (AWS/GCP) and certification in a cloud technology is preferred. - Familiarity with MLOps tools and practices for CI/CD, monitoring, and retraining of ML models. - Ability to read and interpret ML research papers and LLM architecture diagrams. Show more Show less

Requirements Description and Requirements Serve as Product Owner Salesforce Email (Insight Connect) and Agent Desktop (Salesforce Insight) that supports MetLife Global Customer Service and Operations. Agility to keep himself updated with relevant technologies and can implement the same to decrease costs, increase performance and positively affect the bottom line . Responsible for understanding customer requirements, designing and routing strategies, and integrating call flows. Deep understanding and experience with Email and Case Management, Metrics for Case Management Build, integrate, and enhance product roadmap by prioritizing epics, features and stories in the backlog that execute the strategic vision. Experience with both Salesforce Classic and Lightning preferred Deep understanding of Salesforce CoPilot capabilities Deep understanding and experience with Artificial Intelligence (AI) in terms of customer and Contact Center associate experience (e.g. knowledge of co-pilot, Next Best Action, automation driven based upon intent, knowledge driven based upon intent, call summarization, post call wrap/import speech analytics for post call wrap , tracking utilization of Co-Pilot) Experience building out and executing Artificial Intelligence (AI) strategies that translates to achieving KPIs (e.g. AHT, etc.) and other OKRs that are important to stakeholders. Draw insights and present results clearly to facilitate sound decision-making on next steps. Engage business owners and leaders in conversations about their business strategies and recommend Artificial Intelligence (AI) technology solutions to support those strategies. Monitor development of product stories during sprints and iterations, escalate issues and remove blockers. Establish plan for roll-out / release of new features and functionality and define, measure and report on product analytics, performance, and success. Partner with Application Development to lead discovery on new concepts, including determining and refining business value, and customer value based upon technical feasibility. Take part in cross functional system demos, review UAT, ensure post-production check out is completed and monitor/prioritize post-production issues. Build and manage relationships across several stakeholders, including Contact Center LOBs, Digital, Application Development, Risk/Security, etc. Ability to put structure around complex projects that maybe undefined or fluid in nature. Subject matter expert in Salesforce profiles, roles and permissions Subject matter expert in Salesforce reporting About MetLife Recognized on Fortune magazine's list of the 2024 "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™ for 2024, MetLife , through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by empathy, we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible . Join us! Show more Show less

About BeGig BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you’re not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise. Your Opportunity Join our network as an AI Prompt Enginee r and play a pivotal role in shaping how startups leverage LLMs for real-world use cases. You’ll design, test, and optimize prompts for tasks like summarization, chatbots, content generation, code generation, document processing, and more—working with top models like GPT- 4, Claud e, Gemin i, and open-source LLM s .Work from anywhere, take on projects that match your strengths, and collaborate with innovative teams building the next wave of AI-powered products . Role Overview As an AI Prompt Engineer, you will: Craft Effective Prompt s: Design structured prompts for a range of tasks, ensuring accuracy, relevance, and safety of responses Test & Optimize Output s: Iteratively refine prompts based on performance metrics, user feedback, and edge case behavior Collaborate Cross-Functionall y: Work with developers, product managers, and designers to integrate LLMs into user-facing applications What You’ll Do Prompt Engineering & Evaluation Create, test, and tune prompts for tasks like Q&A, summarization, creative writing, coding assistance, and RAG system Evaluate outputs across edge cases to ensure quality, consistency, and alignment Design few-shot or zero-shot examples to improve model behavior across contexts Integration & Collaboration Collaborate with developers to integrate prompts into backend systems or APIs.Support the design of agent behaviors, tools, and memory strategies through effective prompt design Contribute to prompt libraries and documentation for reusability and scaling Technical Requirements & Skills Exper ience: 1–3+ years working with LLMs, NLP, or appli ed AI.LLM Expe rtise: Familiarity with GPT-4, Claude, Gemini, Mistral, or other leading m odels Prompting Tools: Experience with LangChain, OpenAI Playground, Anthropic Console, or similar tools Bonus: Understanding of few-shot/fine-tuned approaches, embeddings, and evaluation techniques Communic ation: Strong writing, analytical, and problem-solving skills to explain and iterate on prompt logic What We’re Looking for A language- and logic-savvy thinker who understands how LLMs interpret inputs A detail-oriented creator who enjoys refining outputs and iterating toward clarity A freelancer who’s excited to shape the future of human-AI interaction through better instructions Why Join Us? Immediate Impact: Work on projects where prompt quality directly drives user experience Remote & F lexible: Take on hourly or project-based work from anywhere Future Opport unities: Stay matched with prompt-heavy roles across chatbots, agents, and AI content Creative A utonomy: Help startups unlock the full potential of LLMs through precision prompting Ready to prompt the future Apply now to beco me a key AI Prompt Engineer for our client and a valued member of the BeGig network! Show more Show less

Job Description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Assistant Vice President – Global Risk Analytics Principal Responsibilities Apply innovative thinking and analytical techniques including data mining / modeling techniques as applicable to build regulatory models (Basel pillar 1 (internal ratings-based) IRB models) and (International Financial Reporting Standard )IFRS9 model for HSBC UK corporate portfolios. Coordination with internal (within Global Risk Analytics GRA) and external (front line business, regulatory oversight teams, etc.) stakeholders to understand the requirement of the project and delivery and stick to path of regulatory compliance. Explore new data sources / methods to improve model performance. Identify areas which require data remediation and proactively engage with internal / external stakeholder to address them. Clear documentation / summarization of the analytical output. Overall model risk management. Requirements 6+ years of experience in banking domain / regulatory risk analytics/ capital management. To be successful in this role you should ideally meet the following : Masters in any numeric discipline ,Stats/Maths , Engineering (or B-tech with relevance experience), Economics, MS / MBA in Finance Hands-on experience on at least one regulatory model development in python environment would be preferred. Prior experience in risk management, regulatory risk model development, model risk management would be preferred. Understanding of commercial banking and wholesale related products would be preferred. Highly focused on project delivery, attention to detail Excellent written and verbal communication skills Hands-on statistical knowledge with scorecard /econometric model development capability Strong collaborative, influencing and team building skills Strong analytical and problem solving skills, open minded, flexible, pragmatic Strong documentation and summarizing skills for senior audiences Strong programming skills in Python/SAS and experience of working with large volume of data Willing to work with colleagues in other areas/timezones where appropriate You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued By HSBC Electronic Data Processing (India) Private LTD*** Show more Show less

Role – AIML Data Scientist Location : Chennai Mode of Interview - In Person Date : 7th June 2025 (Saturday) Job Description Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch Experience in using Deep learning models with text, speech, image and video data Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV Knowledge of State of the art Deep learning algorithms Optimize and tune Deep Learnings model for best possible accuracy Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau Work with application teams, in deploying models on cloud as a service or on-prem Deployment of models in Test / Control framework for tracking Build CI/CD pipelines for ML model deployment Integrating AI&ML models with other applications using REST APIs and other connector technologies Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Technology/Subject Matter Expertise Sufficient expertise in machine learning, mathematical and statistical sciences Use of versioning & Collaborative tools like Git / Github Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming Develop prototype level ideas into a solution that can scale to industrial grade strength Ability to quantify & estimate the impact of ML models Softskills Profile Curiosity to think in fresh and unique ways with the intent of breaking new ground. Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control Ability to think ahead, and anticipate the needs for solving the problem will be important Ability to communicate key messages effectively, and articulate strong opinions in large forums Desirable Experience: Keen contributor to open source communities, and communities like Kaggle Ability to process Huge amount of Data using Pyspark/Hadoop Development & Application of Reinforcement Learning Knowledge of Optimization/Genetic Algorithms Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios Optimize and tune deep learning model for best possible accuracy Understanding of stream data processing, RPA, edge computing, AR/VR etc Appreciation of digital ethics, data privacy will be important Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus Show more Show less

Primary Skillset: Generative AI Services, Machine Learning, Python, Cloud (GCP preferred), MLOps, Prompt Engineering About the Role: We are seeking a visionary and hands-on Lead Software Engineer to drive Generative AI development and exploration initiatives within our technology innovation team. This role is ideal for someone passionate about applying GenAI to real-world enterprise challenges and who enjoys building proof-of-concepts, production-ready solutions, and scalable AI platforms. Key Responsibilities: Lead the design and development of Generative AI applications, including LLM-based solutions, document intelligence, summarization, chatbot development, and intelligent automation Evaluate and integrate GenAI services and APIs (e.g., Vertex AI, OpenAI, Anthropic, HuggingFace) into existing or new platforms Build scalable backend services and data pipelines to support AI/ML workloads Explore and validate use cases across multiple business functions for GenAI application and automation opportunities Mentor junior engineers on GenAI design patterns, best practices, and engineering discipline Partner with data scientists, product teams, and business stakeholders to define requirements, build MVPs, and iterate toward enterprise-scale solutions Champion MLOps practices for GenAI model deployment, monitoring, and lifecycle management Contribute to technical research, architecture recommendations, and the long-term GenAI roadmap Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field 8+ years of experience in software engineering with 2–3 years working directly with AI/ML models or GenAI solutions Strong experience with Python, cloud platforms (especially GCP Vertex AI), and ML frameworks Hands-on experience with LLMs, prompt engineering, fine-tuning, and embeddings Experience in building and integrating GenAI services in real-time or batch applications Solid understanding of machine learning lifecycle, data preprocessing, and deployment pipelines Familiarity with CI/CD pipelines, API development, and cloud-native architectures Excellent communication, collaboration, and stakeholder management skills Show more Show less

DataPune Posted On 22 May 2025 End Date 31 Dec 2025 Required Experience 8 - 14 Years Basic Section Grade Role Lead Employment Type Full Time Employee Category Organisational Group Company NewVision Company Name New Vision Softcom & Consultancy Pvt. Ltd Function Business Units (BU) Department/Practice Data Organization Unit Data Science Region APAC Country India Base Office Location Pune Working Model Hybrid Weekly Off Pune Office Standard State Maharashtra Skills Skill DATA SCIENCE - AI MACHINE LEARNING PYTHON COMPUTRE VISION NLP Highest Education GRADUATION/EQUIVALENT COURSE CERTIFICATION MICROSOFT CERTIFIED: AZURE AI ENGINEER – ASSOCIATE EXAM AI-100 Working Language ENGLISH Job Description 1. Strong proficiency in programming languages like Python and SQL with more than 8 years total experience. 2. 5+ years of experience of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks such as Regression , classification, ensemble model,RNN,LSTM,GRU. 3. 3+ years of experience in NLP, Text analytics, Document AI, OCR, sentiment analysis, entity recognition, topic modeling 4. Proficiency in LangChain, LangGraph and Open LLM frameworks to perform summarization, classification, Name entity recognition, Question answering 5. Proficiency in Generative techniques prompt engineering, Vector DB, LLMs such as OpenAI,LlamaIndex, Azure OpenAI, Agentic Frameworks, Open-source LLMs will be important 6. Hands-on experience in GenAI technology areas including RAG architecture, fine tuning techniques, inferencing frameworks etc. 7. Familiarity with big data technologies/frameworks good to have 8. Sound knowledge of Microsoft Azure preferred

We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Manager - Data Science and Automation We will count on you to: Identify opportunities which add value to the business and make the process more efficient. Invest in understand the core business including products, process, documents, and data points with the objective of identifying efficiency and value addition opportunities. Design and develop end-to-end NLP/LLM solutions for document parsing, information extraction, and summarization from PDFs and scanned text. Develop AI applications to automate manual and repetitive tasks using generative AI and machine learning. Fine-tune open-source LLMs (like LLaMA, Mistral, Falcon, or similar) or build custom pipelines using APIs (OpenAI, Anthropic, Azure OpenAI). Build custom extraction logic using tools like LangChain, Haystack, Hugging Face Transformers, and OCR libraries like Tesseract or Azure Form Recognizer. Create pipelines to convert outputs into formatted Microsoft Word or PDF files using libraries like docx, PDFKit, ReportLab, or LaTeX. Collaborate with data engineers and software developers to integrate AI models into production workflows. Ensure model performance, accuracy, scalability, and cost-efficiency across business use cases. Stay updated with the latest advancements in generative AI, LLMs, and NLP research to identify innovative solutions. Design, develop, and maintain robust data pipelines for extracting, transforming, and loading (ETL) data from diverse sources. As the operational scales up design and implement scalable data storage solutions and integrate them with existing systems. Utilize cloud platforms (AWS, Azure, Google Cloud) for data storage and processing. Conduct code reviews and provide mentorship to junior developers. Stay up-to-date with the latest technology trends and best practices in data engineering and cloud services. Ability to lead initiatives and deliver results by engaging with cross-functional teams and resolving data ambiguity issues. Be responsible for the professional development of your projects and institute a succession plan. What you need to have: Bachelor's degree in Engineering, Analytics, or a related field, MBA, Computer Applications, IT, Business Analytics, or any discipline. Proven experience of 8-12 years in Python development Hands-on experience with frameworks and libraries like Transformers, LangChain, PyTorch/TensorFlow, spaCy, Hugging Face, and Haystack. Strong expertise in document parsing, OCR (Tesseract, AWS Textract, Azure Form Recognizer), and entity extraction. Proficiency in Python and familiarity with cloud-based environments (Azure, AWS, GCP). Experience deploying models as APIs/microservices using FastAPI, Flask, or similar. Familiarity with PDF parsing libraries (PDFMiner, PyMuPDF, Apache PDFBox) and Word generation libraries (python-docx, PDFKit). Solid understanding of prompt engineering and prompt-tuning techniques. Proven experience with data automation and building data pipelines. Proven track record in building and maintaining data pipelines and ETL processes. Strong knowledge of Python libraries such as Pandas, NumPy, and PySpark, Camelot. Familiarity with database management systems (SQL and NoSQL databases). Experience in designing and implementing system architecture. Ability to operate in a multi layered technology architecture and shape the technology maturity of the organization. Solid understanding of software development best practices, including version control (Git), code reviews, and testing frameworks (PyTest, UnitTest). Strong attention to detail and ability to work with complex data sets. Effective communication skills to present findings and insights to both technical and non-technical stakeholders. Specify superior listening, verbal and written communication skills Excellent project management and organization skills Superlative stakeholder management skills – ability to positively influence stakeholders. Synthesis skills- Ability to connect the dots and answer the business question. Excellent problem-solving, structuring and critical-thinking skills. Ability to work independently and collaboratively in a fast-paced environment. What makes you stand out? Master’s degree in Computer Science, Engineering, or related fields. Experience in working with large-scale data sets and real-time data processing. Familiarity with additional programming languages like Java, C++, or R. Strong problem-solving skills and ability to work in a fast-paced environment. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh, a business of Marsh McLennan (NYSE: MMC), is the world’s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person. R_308144 Show more Show less

Job description 🚀 Job Title: Lead AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the Lead AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – Lead AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world. Show more Show less

Job Description KLDiscovery, a leading global provider of electronic discovery, information governance and data recovery services, is currently seeking an Associate Manager, Medical Summary Review for an exciting new opportunity. The position will manage departmental operations, ensuring the delivery of high-quality medical record summaries, overseeing the accuracy and timeliness of record compilation, and ensuring compliance with relevant guidelines. Onsite position work opportunity located in Chennai, India. Responsibilities Manage the team within the Medical Record team Monitor standardized procedures for medical record summarization Oversee the timely and accurate compilation of medical records to ensure completeness and prompt delivery Review medical records to verify their accuracy and compliance with all guidelines and regulations Ensure patient identity confidentiality throughout the review process Manage a high-volume team of medical record reviewers, providing training and support as needed Conduct quality control to maintain high standards in summarization Stay updated on industry regulations and best practices related to medical record management Utilize advanced technologies to enhance project flow and summarization automation Collaborate with cross-functional teams to define project scope, objectives, and deliverables Monitor project performance, manage risks, and implement corrective actions as necessary Create BRD (Business Requirements Document) and IRD (Integration Requirements Document) Prepare test case scripts for UAT and production instances Involve in P2P (Push to Production) Process Qualifications Bachelor's degree in healthcare administration, nursing, or a related life science field 9 to 14 years of experience in medical record review, summarization, or life underwriting, including in a team leader or associate managerial role Capability to oversee end-to-end projects Working closely with clients and KLD global team members to understand their business needs and ensure successful delivery. Balance of managerial skills, technical expertise, and client management skills. Working closely with all the key stakeholders to deliver a high-quality output. Strong understanding of medical terminology and healthcare regulations Excellent organizational and communication skills. Proven ability to lead and motivate a team Demonstrated success in defining, tracking and communicating internal and business focused metrics. Project execution Client relationship management Analytical problem-solving Process optimization Team leadership Strategic leadership Communication excellence Technical expertise in various CLM platforms Adaptability and innovation Results driven Experience with AI tools or other advanced technologies is an added advantage, preferred Our Cultural Values Entrepreneurs At Heart, We Are a Customer First Team Sharing One Goal And One Vision. We Seek Team Members Who Are Humble - No one is above another; we all work together to meet our clients’ needs and we acknowledge our own weaknesses Hungry - We all are driven internally to be successful and to continually expand our contribution and impact Smart - We use emotional intelligence when working with one another and with clients Our culture shapes our actions, our products, and the relationships we forge with our customers. Who We Are KLDiscovery provides technology-enabled services and software to help law firms, corporations, government agencies and consumers solve complex data challenges. The company, with offices in 26 locations across 17 countries, is a global leader in delivering best-in-class eDiscovery, information governance and data recovery solutions to support the litigation, regulatory compliance, internal investigation and data recovery and management needs of our clients. Serving clients for over 30 years, KLDiscovery offers data collection and forensic investigation, early case assessment, electronic discovery and data processing, application software and data hosting for web-based document reviews, and managed document review services. In addition, through its global Ontrack Data Recovery business, KLDiscovery delivers world-class data recovery, email extraction and restoration, data destruction and tape management. KLDiscovery has been recognized as one of the fastest growing companies in North America by both Inc. Magazine (Inc. 5000) and Deloitte (Deloitte's Technology Fast 500). Additionally, KLDiscovery is a Relativity Certified Partner and maintains ISO/IEC 27001 Certified data centers around the world. KLDiscovery is an Equal Opportunity Employer. Show more Show less

Job Description – Associate SP Intake Position Title, Responsibility Level Level 1 Function Associate Reports to Assistant Manager Permanent/ Temporary Permanent Span of Control Nil Location Noida Basic Function Supplier will receive the work via the proprietary application and input the pharmacy benefits onto the proprietary system. The supplier may be doing the coding or auditing work depending on the assignment. Essential Functions Responsible for the review, evaluation, and input of pharmacy benefits. Reviews documentation and interprets data obtained from the client benefit database. Coordinates with team POC / Supervisors whenever a benefit needs clarification. Primary Internal Interactions Processes transactions as per guidelines provided Attend team meetings to be aware of workflow updates. Participates in the client mandated trainings to maintain knowledge and performance. Coaching and team meetings with supervisors and managers. Primary External Interactions Coordinates with the appropriate onshore department regarding access or issues to the proprietary software. Summarization of complex information into a clear and precise clinical picture while working independently Corrects and reports cases with errors and/or defects. Sends the cases stateside via an automated process. Review incorrect benefit coding instructions and report any that is out of date. Skills Technical Skills Position requires proficiency with computer skills Navigating multiple systems and keyboarding Basic Excel Process Specific Skills Sedentary work involving periods of sitting, talking, listening. Work requires sitting for extended hours, and typing on the computer. Ability to multitask, prioritize and effectively adapt to a fast paced changing environment Typical office working environment with productivity and quality expectations Soft Skills (Desired) Effective communication skills, both verbal and written. Education Requirements: Graduate of any stream(BA, B.COM). Work Experience Requirements 0-1 year minimum BPO experience Preferably, with back office experience Resource needs be English medium educated (schooling) Annexure Acknowledgement (acknowledge that the information contained in this document is factual and complete) ___________________________________ ___________________________________________ ____________________________ Candidate Supervisor/Manager Date Show more Show less

ob Title: AI Full stack Developer – GenAI & NLP Location: Pune, India (Hybrid) Work Mode: Remote Experience Required: 2+ Years (Relevant AI/ML with GenAI & NLP) Salary: Up to ₹15 LPA (CTC) Employment Type: Full-time Department: AI Research & Development Role Overview We are looking for a passionate AI Developer with strong hands-on experience in Generative AI and Natural Language Processing (NLP) to help build intelligent and scalable solutions. In this role, you will design and deploy advanced AI models for tasks such as language generation, summarization, chatbot development, document analysis, and more. You’ll work with cutting-edge LLMs (Large Language Models) and contribute to impactful AI initiatives. Key Responsibilities Design, fine-tune, and deploy NLP and GenAI models using LLMs like GPT, BERT, LLaMA, or similar. Build applications for tasks like text generation, question-answering, summarization, sentiment analysis, and semantic search. Integrate language models into production systems using RESTful APIs or cloud services. Evaluate and optimize models for accuracy, latency, and cost. Collaborate with product and engineering teams to implement intelligent user-facing features. Preprocess and annotate text data, create custom datasets, and manage model pipelines. Stay updated on the latest advancements in generative AI, transformer models, and NLP frameworks. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. Minimum 2 years of experience in fullstack development and AI/ML development, with recent work in NLP or Generative AI. Hands-on experience with models such as GPT, T5, BERT, or similar transformer-based architectures. Proficient in Python and libraries such as Hugging Face Transformers, spaCy, NLTK, or OpenAI APIs. Hands-on experience in any frontend/ backend technologies for software development. Experience with deploying models using Flask, FastAPI, or similar frameworks. Strong understanding of NLP tasks, embeddings, vector databases (e.g., FAISS, Pinecone), and prompt engineering. Familiarity with MLOps tools and cloud platforms (AWS, Azure, or GCP). Preferred Qualifications Experience with LangChain, RAG (Retrieval-Augmented Generation), or custom LLM fine-tuning. Knowledge of model compression, quantization, or inference optimization. Exposure to ethical AI, model interpretability, and data privacy practices. What We Offer Competitive salary package up to ₹15 LPA. Remote work flexibility with hybrid team collaboration in Pune. Opportunity to work on real-world generative AI and NLP applications. Access to resources for continuous learning and certification support. Inclusive, fast-paced, and innovative work culture. Skills: r,kubernetes,next.js,docker,rag architectures,large language models (llms),gcp,embeddings,large language models,bert,javascript,django,machine learning (ml),cloud,tensorflow,machine learning,openai,artificial intelligence,natural language processing (nlp),vector databases,nltk,ai tools,langchain,fastapi,ml,typescript,react.js,java,deep learning,ai development,aws,flask,natural language processing,gpt,nlp tasks,hugging face,hugging face transformers,mlops tools,azure,generative ai,ai technologies,google cloud,node.js,python,nlp,spacy,mlops,ci/cd,pytorch,computer vision Show more Show less

ob Title: AI Full stack Developer – GenAI & NLP Location: Pune, India (Hybrid) Work Mode: Remote Experience Required: 2+ Years (Relevant AI/ML with GenAI & NLP) Salary: Up to ₹15 LPA (CTC) Employment Type: Full-time Department: AI Research & Development Role Overview We are looking for a passionate AI Developer with strong hands-on experience in Generative AI and Natural Language Processing (NLP) to help build intelligent and scalable solutions. In this role, you will design and deploy advanced AI models for tasks such as language generation, summarization, chatbot development, document analysis, and more. You’ll work with cutting-edge LLMs (Large Language Models) and contribute to impactful AI initiatives. Key Responsibilities Design, fine-tune, and deploy NLP and GenAI models using LLMs like GPT, BERT, LLaMA, or similar. Build applications for tasks like text generation, question-answering, summarization, sentiment analysis, and semantic search. Integrate language models into production systems using RESTful APIs or cloud services. Evaluate and optimize models for accuracy, latency, and cost. Collaborate with product and engineering teams to implement intelligent user-facing features. Preprocess and annotate text data, create custom datasets, and manage model pipelines. Stay updated on the latest advancements in generative AI, transformer models, and NLP frameworks. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. Minimum 2 years of experience in fullstack development and AI/ML development, with recent work in NLP or Generative AI. Hands-on experience with models such as GPT, T5, BERT, or similar transformer-based architectures. Proficient in Python and libraries such as Hugging Face Transformers, spaCy, NLTK, or OpenAI APIs. Hands-on experience in any frontend/ backend technologies for software development. Experience with deploying models using Flask, FastAPI, or similar frameworks. Strong understanding of NLP tasks, embeddings, vector databases (e.g., FAISS, Pinecone), and prompt engineering. Familiarity with MLOps tools and cloud platforms (AWS, Azure, or GCP). Preferred Qualifications Experience with LangChain, RAG (Retrieval-Augmented Generation), or custom LLM fine-tuning. Knowledge of model compression, quantization, or inference optimization. Exposure to ethical AI, model interpretability, and data privacy practices. What We Offer Competitive salary package up to ₹15 LPA. Remote work flexibility with hybrid team collaboration in Pune. Opportunity to work on real-world generative AI and NLP applications. Access to resources for continuous learning and certification support. Inclusive, fast-paced, and innovative work culture. Skills: computer vision,next.js,r,mlops,artificial intelligence,nltk,flask,aws,react.js,bert,hugging face,embeddings,google cloud,machine learning,machine learning (ml),natural language processing,hugging face transformers,natural language processing (nlp),ci/cd,nlp,django,python,large language models,pytorch,fastapi,large language models (llms),openai,ai technologies,typescript,ai tools,azure,kubernetes,gcp,llama,mlops tools,gpt,vector databases,javascript,rag architectures,nlp tasks,langchain,openai apis,spacy,docker,ai development,tensorflow,ml,node.js,generative ai,java,cloud,deep learning Show more Show less

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description Managing a team of 15-20 FTEs (resources from medical background) Job Responsibilities Maintains an environment of highly engaged employees who create highly satisfied customers[Internal and External Communicates verbally or in writing about claim processes/procedures with other employees, leaders and teams Manages multiple highly complex work assignments with limited guidance provided Proactively uses claim technical expertise to train others Manages staff and effectively uses performance management to improve and/or reward employee performance Effectively coaches and provides development/career guidance for direct reports Assists leadership in developing strategies of operational improvement Participates in the implementation of process improvement, operational performance andeff ectiveness programs and changes Ensures adherence to empathetic and responsive customer service in all transactions Supervisory Responsibilities Manages/leads Team of employees Creates a positive and satisfying work environment using recognition, empowerment, listening, valuing diversity, and acting as a role model for others. Recommend training and education programs to enhance associate's knowledge and development. Implements the Performance Management and Progressive Discipline Processes. Knowledge/Skills/Abilities/Experience Primary Skills Doctor from any streams (BHMS, BAMS, BDS, BPT, MPT, MBBS) with claims/clinical experience. Minimum 6-7 years of work experience in life/health/disability insurance/casualty claims or underwriting Relevant experience in life/health/disability claims handling/settlement/adjudication/medical summarization and investigation process is preferred Primary Skill- Team Management & Medical Summarization Exp- 8-12Yrs Shift time- 8AM to 5PM Primary Skills Customer Centricity, Digital Literacy, Inclusive Leadership, Learning Agility, Medical Summaries, Results-Oriented, Summarization, Team Management Shift Time Shift A (India) Recruiter Info Hiral Rughani [C] hrugj@allstate.com About Allstate Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. And one where you can impact the future for the greater good. You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live. Good Hands. Greater Together. The Allstate Corporation is one of the largest publicly held insurance providers in the United States. Ranked No. 84 in the 2023 Fortune 500 list of the largest United States corporations by total revenue, The Allstate Corporation owns and operates 18 companies in the United States, Canada, Northern Ireland, and India. Allstate India Private Limited, also known as Allstate India, is a subsidiary of The Allstate Corporation. The India talent center was set up in 2012 and operates under the corporation's Good Hands promise. As it innovates operations and technology, Allstate India has evolved beyond its technology functions to be the critical strategic business services arm of the corporation. With offices in Bengaluru and Pune, the company offers expertise to the parent organization’s business areas including technology and innovation, accounting and imaging services, policy administration, transformation solution design and support services, transformation of property liability service design, global operations and integration, and training and transition. Learn more about Allstate India here. Show more Show less

Job Title: Prompt Engineer Location: Remote Mode: Full-Time Employment (FTE) Experience Required: 5 to 10 Years Notice Period: Immediate Joiners Preferred Job Description We are looking for experienced Prompt Engineers to join our team and push the boundaries of what Large Language Models (LLMs) can do. You will play a crucial role in designing, developing, and optimizing prompts to enhance the performance of LLMs across a wide range of common and complex tasks. This includes building intelligent systems capable of extracting structured data from various scanned documents. Key Responsibilities: Develop and optimize prompts to improve LLM performance on both generic and domain-specific tasks. Work on solutions that enable LLMs to extract data from scanned and unstructured documents. Collaborate with cross-functional teams including data scientists, ML engineers, and product teams to deliver robust and scalable solutions. Continuously test and iterate prompts for optimal performance. Apply prompt tuning techniques to improve accuracy and reliability in downstream applications. Required Skills & Experience: 5–10 years of experience in a technical role involving AI/ML, NLP, or software development. Strong hands-on experience with prompt engineering and working with LLMs (such as GPT, Claude, Gemini, etc.). Proficiency in Python and experience with frameworks like LangChain, OpenAI APIs, or similar. Familiarity with AWS Lambda or similar serverless computing platforms. Solid understanding of NLP tasks such as entity recognition, summarization, classification, and data extraction. Experience with scanned document processing (OCR tools like Tesseract, Azure Form Recognizer, Amazon Textract, etc.) is a strong plus. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. If you're passionate about the intersection of AI, NLP, and real-world problem solving—this role is for you. Apply now or send your CV to jobs@weareanomaly.in Show more Show less

Experience : 2.00 + years Salary : INR 600000-1000000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for Uplers) What do you need for this opportunity? Must have skills required: CRMs, OpenAI, CMS, n8n, Gumloop, Data Automation Systems, Digital Transformation Uplers is Looking for: We are looking for a tech-savvy Automation & AI Workflow Specialist who can deeply understand business operations across departments and design intelligent, automation-first solutions using modern platforms. You don’t need to be a hardcore coder or machine learning engineer, but you must be curious, analytical, and passionate about using automation tools to solve real-world business problems. Key Responsibilities: Analyze and understand business functions, workflows, and manual processes across different departments. Identify inefficiencies and propose automation or AI-based workflows to improve productivity and reduce manual work. Research emerging tools and platforms in the automation and AI space — you’re someone who enjoys experimenting and tinkering with new tech. Design and build intelligent workflows using platforms like n8n, Make.com, Gumloop, or Agent.ai. Use APIs and available integrations to connect various tools and systems into cohesive, automated workflows. Collaborate with cross-functional teams to gather requirements and deliver automation solutions aligned with business needs. Provide mentorship and guidance to junior team members working on automation projects. Document workflows and ensure knowledge sharing across teams. Required Skills and Experience: Strong understanding of business processes and operations in a service-based or cross-functional environment. Experience with no-code/low-code automation platforms (at least one of: n8n, Make.com, Gumloop, Agent.ai, etc.). Familiarity with API structures, HTTP requests, and integration logic — not coding, but conceptual and functional understanding. Basic knowledge of how AI and machine learning systems function and are used in business contexts (e.g., classification, summarization, sentiment analysis). Excellent problem-solving skills and a curious mindset — you like to “figure things out” and optimize. Ability to research tools independently and apply them effectively in workflows. Comfortable training and upskilling junior members of the team. Nice to Have: Experience working in digital marketing, operations, or customer support teams. Knowledge of task automation in CRMs, email platforms, Google Workspace, Slack, Airtable, or similar. Understanding of prompt engineering and AI agent design patterns (optional, but a bonus). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 2.00 + years Salary : INR 600000-1000000 / year (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for Uplers) What do you need for this opportunity? Must have skills required: CRMs, OpenAI, CMS, n8n, Gumloop, Data Automation Systems, Digital Transformation Uplers is Looking for: We are looking for a tech-savvy Automation & AI Workflow Specialist who can deeply understand business operations across departments and design intelligent, automation-first solutions using modern platforms. You don’t need to be a hardcore coder or machine learning engineer, but you must be curious, analytical, and passionate about using automation tools to solve real-world business problems. Key Responsibilities: Analyze and understand business functions, workflows, and manual processes across different departments. Identify inefficiencies and propose automation or AI-based workflows to improve productivity and reduce manual work. Research emerging tools and platforms in the automation and AI space — you’re someone who enjoys experimenting and tinkering with new tech. Design and build intelligent workflows using platforms like n8n, Make.com, Gumloop, or Agent.ai. Use APIs and available integrations to connect various tools and systems into cohesive, automated workflows. Collaborate with cross-functional teams to gather requirements and deliver automation solutions aligned with business needs. Provide mentorship and guidance to junior team members working on automation projects. Document workflows and ensure knowledge sharing across teams. Required Skills and Experience: Strong understanding of business processes and operations in a service-based or cross-functional environment. Experience with no-code/low-code automation platforms (at least one of: n8n, Make.com, Gumloop, Agent.ai, etc.). Familiarity with API structures, HTTP requests, and integration logic — not coding, but conceptual and functional understanding. Basic knowledge of how AI and machine learning systems function and are used in business contexts (e.g., classification, summarization, sentiment analysis). Excellent problem-solving skills and a curious mindset — you like to “figure things out” and optimize. Ability to research tools independently and apply them effectively in workflows. Comfortable training and upskilling junior members of the team. Nice to Have: Experience working in digital marketing, operations, or customer support teams. Knowledge of task automation in CRMs, email platforms, Google Workspace, Slack, Airtable, or similar. Understanding of prompt engineering and AI agent design patterns (optional, but a bonus). How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Core Requirements: Advanced Proficiency in Microsoft Excel: Expertise in complex formula creation such as VLOOKUP, INDEX-MATCH, IF, and nested functions. Skilled in data summarization and analysis using pivot tables, filters, conditional formatting, and other dynamic tools. Ability to automate repetitive tasks using macros or advanced Excel features (preferred) Data Handling and Transformation: Strong understanding of data structures, data cleaning, and transformation techniques Ability to extract, merge, and manipulate data from multiple sources for meaningful insights. Proficiency in identifying data inconsistencies and ensuring data integrity in reports and dashboards. Power BI and SQL: Ability to build interactive dashboards and reports using Power BI Experience in writing and optimizing SQL queries for data extraction and transformation Understanding of data modeling and relational database concepts Written Communication Skills: Ability to draft professional and concise emails for internal and external communication Verbal Communication: Capable of clear and effective coordination across teams, ensuring accurate understanding of processes and requirements. Preferred Attributes: Detail-oriented with strong analytical and problem-solving skills Ability to manage large data sets with precision and efficiency Comfortable working in a fast-paced, deadline-driven environment Programming experience in any platform or language (e.g., Python, R, VBA, etc.) is a plus, especially for data automation and processing tasks. Show more Show less