358 Summarization Jobs - Page 13

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: ML 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 ML 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 / vishnu.sethi@cur8.in Subject Line: Application – ML 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 🚀 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 🚀 Job Title: 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 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 – 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

Job Title: Automation Engineer – AI & Process Automation Location: Gurugram (In-Office) Experience: 1+ years preferred Department: Technology / Operations Job Type: Full-time About the Role We’re looking for a sharp, proactive Automation Engineer who’s passionate about leveraging cutting-edge AI tools and automation platforms to streamline internal operations. In this role, you’ll work closely with eCommerce, content, and operations teams to build efficient, scalable systems that eliminate manual work and unlock productivity gains. Key Responsibilities AI-Powered Automation Design and implement intelligent workflows using tools like OpenAI’s GPT, Claude, and AI agents for content generation, categorization, summarization, and decision support. Build prompt chains and agent workflows to handle semi-autonomous decision-making processes. Process Automation Develop and manage automation workflows in Make.com, n8n, and similar tools to integrate systems, streamline tasks, and reduce operational overhead. Create automation around eCommerce operations such as order handling, product uploads/updates, pricing syncs, and customer communication. Automate routine content workflows such as SEO updates, content repurposing, and scheduled publishing. Workflow Optimization Identify bottlenecks in business processes across departments (content, marketing, ops) and propose AI/automation-based solutions. Work with stakeholders to understand manual tasks and translate them into automation specs. Testing & Maintenance Monitor, test, and troubleshoot automations regularly to ensure reliability. Continuously optimize existing automations for better performance and maintainability. Documentation & Training Create SOPs and internal documentation for all automations and AI tools used. Educate team members on using and interacting with automation systems. Requirements 1+ years of experience in automation engineering or related roles. Strong experience with tools like n8n, Make.com, or similar workflow automation platforms. Hands-on experience using AI tools like OpenAI (ChatGPT API), Claude, LangChain, or similar frameworks. Familiarity with APIs, webhook integrations, and data formats like JSON. Proficiency in designing prompt workflows and using AI for task automation. Ability to work cross-functionally and translate business problems into tech-driven solutions. Comfortable working in a fast-paced, high-growth environment. Excellent problem-solving and documentation skills. Preferred Skills Experience with eCommerce platforms (Shopify, WooCommerce, Magento, etc.). Basic knowledge of scripting (JavaScript, Python) for custom logic in automations. Understanding of SEO/content systems and versioning tools like Notion, Airtable, or CMS platforms. Familiarity with Zapier or other integration tools (as backup or complementary systems). Perks & Benefits Opportunity to work on cutting-edge automation and AI applications. Dynamic and collaborative work environment. Flexible and high-impact role with cross-functional exposure. Growth path into Head of Automation or AI Systems Architect. If you’re passionate about simplifying complex systems and building smart, scalable automations — we want to hear from you. Apply now and help us supercharge productivity with technology. Job Type: Full-time Pay: ₹300,000.00 - ₹500,000.00 per year Benefits: Food provided Schedule: Day shift Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI and process automation: 1 year (Required) Work Location: In person

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

We are looking for a highly skilled and results-driven Experienced Data Scientist to be at the forefront of developing and implementing Generative AI solutions that address critical business challenges and unlock new opportunities. This individual will leverage their deep expertise in data science, machine learning, and specifically Generative AI techniques to drive impactful projects from ideation to deployment. They will develop AI & ML solutions to tackle complex business challenges and facilitate data-driven decision-making through hands-on work with large datasets and strong collaboration with cross-functional teams to deliver significant results. Responsibilities: Data Handling & Preparation: Work with diverse and large-scale datasets. Perform data cleaning, preprocessing, feature engineering, and create synthetic datasets as needed for training and evaluating Generative AI models. Ensure data quality and integrity throughout the model development lifecycle. Model Optimization & Deployment: Optimize Generative AI models for performance, scalability, efficiency, and responsible AI considerations (bias detection and mitigation, hallucination reduction). Collaborate with Machine Learning Engineers and DevOps teams to deploy models into production environments and establish monitoring frameworks. Prompt Engineering & Fine-tuning: Develop effective prompts and fine-tuning strategies for Large Language Models to achieve desired outputs and adapt models to specific domains and tasks. Generative AI Model Development & Implementation: Design, develop, train, fine-tune, and deploy various Generative AI models, including but not limited to Large Language Models (LLMs), diffusion models, Generative Adversarial Networks (GANs), and Variational Autoencoders (VAEs), for applications such as: Text generation (content creation, summarization, chatbots). Image and video synthesis. Code generation and assistance. Synthetic data generation and augmentation. Research & Innovation: Stay current with the latest research and advancements in the field of Generative AI, exploring new architectures, methodologies, and tools. Proactively identify and evaluate opportunities to apply cutting-edge Generative AI techniques to solve business problems. Experimentation & Evaluation: Design and execute rigorous experiments to evaluate the performance of Generative AI models using relevant metrics (e.g., BLEU, ROUGE, FID, perplexity). Analyze experimental results, identify areas for improvement, and iterate on model development based on findings. Collaboration & Communication: Work closely with product managers, software engineers, researchers, and business stakeholders to understand requirements, communicate technical findings, and translate complex AI concepts to non-technical audiences. Documentation & Knowledge Sharing: Maintain comprehensive documentation of all development processes, models, and experimental results. Share knowledge and best practices with the broader data science and engineering teams. Ethical AI Practices: Adhere to ethical AI principles and guidelines in the development and deployment of Generative AI models, with a focus on fairness, transparency, and accountability. 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

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

Job Role You’ll work at the intersection of Generative AI, Machine Learning, and personal finance. You’ll partner with Product, Engineering, and Ops to: • Drive smarter decision-making using AI. • Improve customer outcomes by personalising experiences. • Launch agentic AI systems to streamline sales, support, and credit evaluation. Key Responsibilities Design, build, and deploy machine learning and generative AI models. Translate real-world business problems into data science solutions — from ideation to production. Collaborate with engineers to set up scalable data pipelines and APIs. Constantly monitor model performance and retrain as needed. Build solutions that leverage LLMs for tasks like summarization, sentiment detection, classification, and recommendations. Stay up-to-date with developments in GenAI and actively experiment with new techniques. Required Qualifications Strong foundation in machine learning, feature engineering, and model deployment. Hands-on experience implementing GenAI use cases (e.g., prompt engineering, RAG, embeddings). Proficiency in Python, SQL, and ML libraries like scikit-learn, XGBoost, TensorFlow, or PyTorch. Familiarity with LLM frameworks (LangChain, OpenAI, HuggingFace) and cloud services (AWS/GCP/Azure). Demonstrated ability to take AI models from notebook to production. Excellent communication skills and ability to collaborate cross-functionally. Preferred Qualification Prior experience in Fintech, BFSI, or working with credit and customer data. Understanding of ethical AI, data privacy, and model fairness. Familiarity with customer-facing AI products (chatbots, agentic workflows). What We Offer • A high-impact role at a company solving a real societal problem. • The opportunity to shape AI strategy and product direction from the ground up. • A culture that values curiosity, ownership, and bold thinking. 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

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

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Data Scientist II MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Apr 25, 2025 Unposting Date May 25, 2025 Reporting Manager Title Senior Manager 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