342 Summarization Jobs - Page 2

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications : • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Show more Show less

About ZenDot ZenDot is a cutting-edge technology company building AI-driven solutions that power the next generation of productivity, intelligence, and automation for businesses. Our focus lies in delivering enterprise-grade tools that combine large language models, real-time data, and deep integrations across knowledge ecosystems. We're building a state-of-the-art internal platform for enterprise semantic search, secure document retrieval, and intelligent knowledge graphs . To lead this mission, we are hiring a Senior AI Engineer to architect and implement a search and knowledge engine inspired by world-class products like Glean — but tailored to our own innovation roadmap. Key Responsibilities Lead the end-to-end design and implementation of an enterprise semantic search engine with hybrid retrieval capabilities. Build robust, scalable data ingestion pipelines to index content from sources like Google Workspace, Slack, Jira, Confluence, GitHub, Notion, and more. Design and optimize a reranking and LLM augmentation layer to improve the quality and relevance of search results. Construct an internal knowledge graph mapping users, documents, metadata, and relationships to personalize responses. Implement permission-aware access filters , ensuring secure and role-based query results across users and teams. Collaborate on a modular AI orchestration layer , integrating search, chat, summarization, and task triggers. Maintain model benchmarks, A/B testing frameworks, and feedback loops for continuous learning and improvement. Work closely with product, security, infra, and frontend teams to deliver high-performance and compliant AI solutions . Require Skills & Experience 3+ years of experience in AI/ML engineering with deep expertise in information retrieval (IR) , NLP , and vector search . Strong understanding and hands-on work with BM25, vector stores (Faiss, Weaviate, Vespa, Elasticsearch) . Proficiency in transformer-based models (BERT, RoBERTa, OpenAI embeddings) and document embedding techniques . Experience in building hybrid search pipelines (sparse + dense), rerankers, and multi-modal retrieval systems. Skilled in Python , PyTorch/TensorFlow , and data engineering frameworks (Airflow, Spark, etc.). Familiar with RBAC systems, OAuth2 , and enterprise permissioning logic. Hands-on with graph data structures or knowledge graph tools like Neo4j, RDF, or custom DAG engines. Cloud-native architecture experience (AWS/GCP), Kubernetes, and microservices best practices. Bonus Points For Building or contributing to open-source IR/NLP/search frameworks (e.g., Haystack, Milvus, LangChain). Past work with LLM-driven RAG (Retrieval-Augmented Generation) systems. Familiarity with document-level compliance, access auditing, and SAML/SCIM integrations. Ability to work in fast-paced, zero-to-one product environments with deep ownership. Show more Show less

Company Description Technocratic Solutions is a trusted and renowned provider of technical resources on a contract basis, serving businesses globally. With a dedicated team of developers, we deliver top-notch software solutions in cutting-edge technologies such as PHP, Java, JavaScript, Drupal, QA, Blockchain AI, and more. Our mission is to empower businesses worldwide by offering high-quality technical resources that meet project requirements and objectives. We prioritize exceptional customer service and satisfaction, delivering our services quickly, efficiently, and cost-effectively. Join us and experience the difference of working with a reliable partner driven by excellence and focused on your success. Job Title: AI/ML Engineer – Generative AI, Databricks, R Programming Location: Delhi NCR / Pune Experience Level: 5 years Job Summary: We are seeking a highly skilled and motivated AI/ML Engineer with hands-on experience in Generative AI, Databricks, and R programming to join our advanced analytics team. The ideal candidate will be responsible for designing, building, and deploying intelligent solutions that drive innovation, automation, and insight generation using modern AI/ML technologies. --- Key Responsibilities: Develop and deploy scalable ML and Generative AI models using Databricks (Spark-based architecture). Build pipelines for data ingestion, transformation, and model training/inference on Databricks. Implement and fine-tune Generative AI models (e.g., LLMs, diffusion models) for various use cases like content generation, summarization, and simulation. Leverage R for advanced statistical modeling, data visualization, and integration with ML pipelines. Collaborate with data scientists, data engineers, and product teams to translate business needs into technical solutions. Ensure reproducibility, performance, and governance of AI/ML models. Stay updated with the latest trends and technologies in AI/ML and GenAI and apply them where applicable. --- Required Skills & Qualifications: Bachelor's/Master’s degree in Computer Science, Data Science, Statistics, or a related field. 5 years of hands-on experience in Machine Learning/AI, with at least 2 year in Generative AI. Proficiency in Databricks, including Spark MLlib, Delta Lake, and MLflow. Strong command of R programming, especially for statistical modeling and data visualization (ggplot2, dplyr, caret, etc.). Experience with LLMs, transformers (HuggingFace, LangChain, etc.), and other GenAI frameworks. Familiarity with Python, SQL, and cloud platforms (AWS/Azure/GCP) is a plus. Excellent problem-solving, communication, and collaboration skills. Preferred: Certifications in Databricks, ML/AI (e.g., Azure/AWS ML), or R. Experience in regulated industries (finance, healthcare, etc.). Exposure to MLOps, CI/CD for ML, and version control (Git). --- What We Offer: Competitive salary and benefits Flexible work environment Opportunities for growth and learning in cutting-edge AI/ML Collaborative and innovative team culture --- Would you like this tailored to a specific company, industry, or seniority level (e.g., Lead, Junior, Consultant)? Show more Show less

Full Stack AI Developer – LLM & Workflow Automation 📍 Remote | 🕒 8–10 Years | 🧠 Python, React, LLMs, n8n 🧩 About the Role: We’re hiring a Full Stack AI Developer to build next-gen applications that combine intelligent chatbots, LLM workflows, and seamless UI/UX interfaces. You’ll own features end-to-end, from backend APIs and AI integrations to frontend web experiences. 🎯 Key Responsibilities: Design, develop, and deploy full-stack AI-powered applications Build responsive web interfaces using React (or Angular/Vue) Integrate LLMs (OpenAI, Claude, etc.) for smart assistants, summarization, etc. Create and orchestrate automation flows with n8n Build and maintain APIs using Python (FastAPI/Django) Deploy solutions in cloud-native environments (AWS, Azure) Work with cross-functional teams on feature delivery, testing, and scaling ✅ Must-Have Skills: 8–10 years of full-stack development experience Strong in Python for backend and AI integrations (FastAPI, Django) Proficient in React.js (or Angular/Vue) for building modern UIs Hands-on experience with n8n automation workflows Experience integrating LLMs (OpenAI, LangChain, GPT, Claude) REST APIs, webhooks, and third-party integrations Cloud platforms (AWS, Azure, or GCP) CI/CD pipelines, Docker, and SQL/NoSQL databases 🌟 Nice to Have: Experience with MLOps (MLflow, SageMaker, Kubeflow) Familiarity with RAG pipelines, vector DBs (FAISS, Pinecone) Semantic Kernel or multi-agent LLM frameworks Azure certifications This is a remote offshore position, with exciting long-term projects and the chance to work with a dynamic, global tech team. To apply: Send your resume to info@ribbitzllc.com Show more Show less

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry. Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities? Join us! We'll love to explore more about you if you have Qualification: B.E/ B.Tech/M.E/M.Tech/PhD from tier 1 engineering institutes with relevant work experience with a top technology company in computer science or mathematics-related fields with 3-5 years of experience in machine learning and NLP Knowledge and practical experience in solving NLP problems in areas such as text classification, entity tagging, information retrieval, question-answering, natural language generation, clustering, etc 3+ years of experience working with LLMs in large-scale environments. Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs Knowledge and hands-on experience with Transformer-based Language Models like BERT, DeBERTa, Flan-T5, Mistral, Llama, etc Deep familiarity with internals of at least a few Machine Learning algorithms and concepts Experience with Deep Learning frameworks like Pytorch and common machine learning libraries like scikit-learn, numpy, pandas, NLTK, etc Experience with ML model deployments using REST API, Docker, Kubernetes, etc Knowledge of cloud platforms (AWS/Azure/GCP) and their machine learning services is desirable Knowledge of basic data structures and algorithms Knowledge of real-time streaming tools/architectures like Kafka, Pub/Sub is a plus Your role at Level AI includes but is not limited to Big picture: Understand customers’ needs, innovate and use cutting edge Deep Learning techniques to build data-driven solutions Work on NLP problems across areas such as text classification, entity extraction, summarization, generative AI, and others Collaborate with cross-functional teams to integrate/upgrade AI solutions into the company’s products and services Optimize existing deep learning models for performance, scalability, and efficiency Build, deploy, and own scalable production NLP pipelines Build post-deployment monitoring and continual learning capabilities. Propose suitable evaluation metrics and establish benchmarks Keep abreast with SOTA techniques in your area and exchange knowledge with colleagues Desire to learn, implement and work with latest emerging model architectures, training and inference techniques, data curation pipelines, etc. To learn more visit : https://thelevel.ai/ Funding : https://www.crunchbase.com/organization/level-ai LinkedIn : https://www.linkedin.com/company/level-ai/ Show more Show less

Key Law Expertise Job Description for the role of Senior Manager Extensive experience in corporate laws, specializing in SaaS agreements, IT agreements, software licensing, hardware procurement, support and maintenance agreements, and global partnership contracts. Strong proficiency in drafting, reviewing, negotiating, and finalizing contracts, including arbitration and dispute resolution. Industry Experience Preferred experience in the Media and Content industry. Expertise in media contracts, content licensing, and distribution agreements. Contract Lifecycle Management Oversee end-to-end contract lifecycle management, including drafting, redlining, negotiation, and abstraction. Ensure accurate contract summarization, storage, and compliance tracking. Contract Drafting & Review Draft and review a wide range of legal documents, including: NDAs, MSAs, SaaS agreements, IT service agreements, software and technology licensing agreements, vendor license & maintenance agreements, and subcontractor agreements. Contracts based on pre-agreed precedents and guidelines. Contract Management Platforms Expertise in implementing and maintaining contract management processes and platforms across industries. Compliance & Risk Management Ensure all contracts adhere to legal, regulatory, and compliance standards. Monitor and regulate contractual obligations to mitigate risks. Team Coordination & Management Lead and coordinate with a team to identify requirements, manage deliverables, and resolve legal issues. Maintain a comprehensive legal database and ensure proper documentation. Develop and deliver training modules to upskill team members. Project Management Serve as the Single Point of Contact (SPOC) for contract management-related queries. Work closely with in-house legal and business teams to ensure seamless operations. TAT And SLA Management Monitor and manage Turnaround Times (TAT) and Service Level Agreements (SLAs) to ensure timely contract execution. Track performance metrics and enforce adherence to contractual deadlines. Independently manage live projects and provide legal solutions to any contract-related concerns. Desired Candidate Profile Legal Knowledge: Strong understanding of Indian legal frameworks, SaaS contracts, IT agreements, and licensing laws. Specific expertise in Media and Content industry contracts is highly & Teamwork: Ability to work independently while effectively collaborating within a team. Skilled in handling multiple projects under tight deadlines. Growth Mindset Eager to take on bigger challenges and add value to clients. Quick learner with a proactive, problem-solving approach SPOC And Coordination Ability to lead and manage a team of 5-6 members, providing guidance and support. Strong leadership and communication skills to engage with internal and external stakeholders Pressure Management Capable of working under high-pressure situations, ensuring quality results within strict of TAT and SLAs: Deep knowledge of Turnaround Times (TAT) and Service Level Agreements (SLAs) to ensure process efficiency. Soft Skills Communication: Excellent written and verbal communication skills in English. Interpersonal Skills: Strong collaboration and teamwork skills. Leadership Under Pressure: Ability to lead teams and projects in high-pressure environments. Proactive Problem-Solving: Identifying and resolving contract bottlenecks Undergraduate: LLB/ BA.LLB Postgraduate: LLM (Preferred, but not mandatory) Total Work Experience: 7+ years Note: This role requires working under tight deadlines and high-pressure conditions. Only candidates who can thrive in such an environment should apply. (ref:iimjobs.com) Show more Show less

Job Title: Senior Data Scientist – Data & Analytics How You Will Do It Advanced Analytics, LLMs & Modeling Design and implement advanced machine learning models including deep learning, time-series forecasting, recommendation engines, and LLM-based solutions (e.g., GPT, LLaMA, Claude). Develop use cases around enterprise search, document summarization, conversational AI, and automated knowledge retrieval using large language models. Fine-tune or prompt-engineer foundation models (e.g., OpenAI, Azure OpenAI, Hugging Face) for domain-specific applications. Evaluate and optimize LLM performance, latency, cost-effectiveness, and hallucination mitigation strategies for production use. Data Strategy & Engineering Collaboration Work closely with data and ML engineering teams to integrate LLM-powered applications into scalable, secure, and reliable pipelines. Contribute to the development of retrieval-augmented generation (RAG) architectures using vector databases (e.g., FAISS, Azure Cognitive Search). Support the deployment of models using MLOps principles, ensuring robust monitoring and lifecycle management. Business Impact & AI Strategy Partner with cross-functional stakeholders to identify opportunities for applying LLMs and generative AI to solve complex business challenges. Lead workshops or proofs-of-concept to demonstrate value of LLM use cases across business units. Translate complex model outputs, including those from LLMs, into clear insights and decision support tools for non-technical audiences. Thought Leadership & Mentorship Act as an internal thought leader on AI and LLM innovation, keeping JCI at the forefront of industry advancements. Mentor and upskill data science team members in advanced AI techniques, including transformer models and generative AI frameworks. Contribute to strategic roadmaps for generative AI and model governance within the enterprise. Qualifications & Experience Education in Data Science, Artificial Intelligence, Computer Science, or related quantitative discipline. 5+ years of hands-on experience in data science, including at least 1–2 years working with LLMs or generative AI technologies. Demonstrated success in deploying machine learning and NLP solutions at scale. Proven experience with cloud AI platforms—especially Azure OpenAI, Azure ML, Hugging Face, or AWS Bedrock. Technical Expertise Proficiency in Python and SQL, including libraries like Transformers (Hugging Face), LangChain, PyTorch, and TensorFlow. Experience with prompt engineering, fine-tuning, and LLM orchestration tools. Familiarity with data storage, retrieval systems, and vector databases. Strong understanding of model evaluation techniques for generative AI, including factuality, relevance, and toxicity metrics. Leadership & Soft Skills Strategic thinker with a strong ability to align AI initiatives to business goals. Excellent communication and storytelling skills, especially in articulating the value of LLMs and advanced analytics. Strong collaborator with a track record of influencing stakeholders across product, engineering, and executive teams. Preferred Qualifications Experience with IoT, edge analytics, or smart building systems. Familiarity with LLMOps, LangChain, Semantic Kernel, or similar orchestration frameworks. Knowledge of data privacy and governance considerations specific to LLM usage in enterprise environments. Show more Show less

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Are you excited by the challenge of pushing the boundaries with the latest advancements in computer vision and multi-modal Large Language Models? Does the idea of working on the edge of AI research and applying it to create industry-defining software solutions resonate with you? At Nielsen Sports, we provide the most comprehensive and trusted data and analytics for the global sports ecosystem, helping clients understand media value, fan behavior, and sponsorship effectiveness. This role will place you at the forefront of this mission, architecting and implementing sophisticated AI systems that unlock novel insights from complex multimedia sports data. We are looking for Principal / Sr Principal Engineers to join us on this mission. Key Responsibilities: Technical Leadership & Architecture: Lead the design and architecture of scalable and robust AI/ML systems, particularly focusing on computer vision and LLM applications for sports media analysis Model Development & Training: Spearhead the development, training, and fine-tuning of sophisticated deep learning models (e.g., object detectors like RT-DETR, custom classifiers, generative models) on large-scale, domain-specific datasets (like sports imagery and video) Generalized Object Detection: Develop and implement advanced computer vision models capable of identifying a wide array of visual elements (e.g., logos, brand assets, on-screen graphics) in diverse and challenging sports content, including those not seen during training LLM & GenAI Integration: Explore and implement solutions leveraging LLMs and Generative AI for tasks such as content summarization, insight generation, data augmentation, and model validation (e.g., using vision models to verify detections) System Implementation & Deployment: Build and deploy production-ready AI/ML pipelines, ensuring efficiency, scalability, and maintainability. This includes developing APIs and integrating models into broader Nielsen Sports platforms UI/UX for AI Tools: Guide or contribute to the development of internal tools and simple user interfaces (using frameworks like Streamlit, Gradio, or web stacks) to showcase model capabilities, facilitate data annotation, and allow for human-in-the-loop validation Research & Innovation: Stay at the forefront of advancements in computer vision, LLMs, and related AI fields. Evaluate and prototype new technologies and methodologies to drive innovation within Nielsen Sports Mentorship & Collaboration: Mentor junior engineers, share knowledge, and collaborate effectively with cross-functional teams including product managers, data scientists, and operations Performance Optimization: Optimize model performance for speed and accuracy, and ensure efficient use of computational resources (including cloud platforms like AWS, GCP, or Azure) Data Strategy: Contribute to data acquisition, preprocessing, and augmentation strategies to enhance model performance and generalization Required Qualifications: Bachelors of Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field 5+ years (for Principal / MTS-4) / 8+ years (for Senior Principal / MTS-5) of hands-on experience in developing and deploying AI/ML models, with a strong focus on Computer Vision Proven experience in training deep learning models for object detection (e.g., YOLO, Faster R-CNN, DETR variants like RT-DETR) on custom datasets Experience in finetuning LLMs like Llama 2/3, Mistral, or open-source models available on Hugging Face using libraries such as Hugging Face Transformers, PEFT, or specialized frameworks like Axolotl/Unsloth Proficiency in Python and deep learning frameworks such as PyTorch (preferred) or TensorFlow/Keras Demonstrable experience with Multi Modal Large Language Models (LLMs) and their application, including familiarity with transformer architectures and fine-tuning techniques Experience with developing simple UIs for model interaction or data annotation (e.g., using Streamlit, Gradio, Flask/Django) Solid understanding of MLOps principles and experience with tools for model deployment, monitoring, and lifecycle management (e.g., Docker, Kubernetes, Kubeflow, MLflow) Strong software engineering fundamentals, including code versioning (Git), testing, and CI/CD practices Excellent problem-solving skills and the ability to work with complex, large-scale datasets Strong communication and collaboration skills, with the ability to convey complex technical concepts to diverse audiences Full Stack Development experience in any one stack Preferred Qualifications / Bonus Skills: Experience with Generative AI vision models for tasks like image analysis, description, or validation Track record of publications in top-tier AI/ML/CV conferences or journals Experience working with sports data (broadcast feeds, social media imagery, sponsorship analytics) Proficiency in cloud computing platforms (AWS, GCP, Azure) and their AI/ML services Experience with video processing and analysis techniques Familiarity with data pipeline and distributed computing tools (e.g., Apache Spark, Kafka) Demonstrated ability to lead technical projects and mentor team members Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Show more Show less

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, ACT’s retail network includes ~16,700 convenience stores, and has footprint across 31 countries and territories primarily under the Circle K brand. The India Fuels & Logistics Global Capability Centre (F&L GCC) is an integral part of ACT’s Global Fuels & Logistics Team, and the Fuel Distribution Planner will be a key player on this team that will help oversee the stock movements across the supply chain network and grow F&L globally at ACT. The hired candidate will partner with multiple departments, including Global Technology, Business Units and Support functions. About The Role The incumbent will be responsible for maintaining optimal stock cover at each location, ensuring minimum distribution costs, liaising with internal stakeholders across the supply chain lifecycle, to execute necessary changes & communicate effectively to internal key stakeholders and support business needs. Additionally, the incumbent will have to be flexible to work in shifts. Roles & Responsibilities Fuel Distribution Planning Ensure precise, cost-effective fuel supply planning and lowest unit cost delivered for the trucks planned. Planning indicator summarization, analyses, and reporting. Fulfil operational goals and objectives to achieve optimal fleet planning metrics (HSE, Load size, drop size, productivity, P&L (in house) etc) Liaise with Supply or sourcing, operations, BU fuel team and execute on actions to always ensure efficient value chain. Handle calls and address operational issues during shift. Liaison with other units in the company to gain planning improvements. Support improvement projects or new systems implementations as needed. Pro-active approach to suggest solutions to customer complaints. Operational Excellence Monitor activities within fuel stations to ensure sufficient inventory levels. Ensure ownership of HSSE targets & compliance within distribution together with operations managers Ensuring efficient fleet planning performance metrics (Drop size, load size, productivity etc.) Stakeholder Management Proactively recommend multiple approaches along with their pros & cons to the business stakeholders and support making the right decisions Collaborate closely with colleagues inside and outside Global Fuels and Circle K, to drive business results 24*7 Operations, shift work is required to cover at all times of the operations. Education Bachelor’s degree or equivalent Strong mathematical and analytics skills evident in education. Relevant Experience 2-4 years minimum relevant experience from logistics and operations planning. Fluency in English, both written and oral Behavioural Skills Strong analytical thinking and problem-solving approach as well as detail-oriented personality. Innovation and agility Hands-on & reliable with attention to details Global mindset capable of working with multi-cultures Skills Technical Skills Demand Planning Distribution Planning Fleet Management Knowledge Good computer (MS excel/MS Office Suite), mathematics, and analysis skills.  Show more Show less

Hi Everyone Role : Data Scientist - Gen AI, AI/ML Exp - 4+yr Shift : General IST 8 hour shift Position Type : Remote & Contractual JD : About the Role: We are seeking a passionate and results-driven Data Scientist with deep expertise in Artificial Intelligence, Machine Learning, and Generative AI (GenAI) . In this role, you will work at the intersection of data science and cutting-edge AI technologies to build intelligent systems, drive automation, and unlock business value from data. Key Responsibilities: Design, develop, and deploy AI/ML models and GenAI-based applications to solve real-world business problems. Conduct data wrangling, preprocessing, feature engineering, and advanced analytics. Build NLP, computer vision, recommendation, or predictive models using traditional and deep learning methods. Collaborate with cross-functional teams including product managers, data engineers, and software developers. Stay current with advancements in AI/ML and apply best practices to improve existing systems. Design and evaluate LLM-based pipelines , prompt engineering strategies, and fine-tuning approaches. Present insights and results to stakeholders in a clear and actionable manner. Work on cloud-based ML pipelines (AWS/GCP/Azure) and MLOps frameworks for deployment and monitoring. Key Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field. 4+ years of experience in data science and machine learning . Strong hands-on skills in Python , SQL , and ML libraries like scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers . Proficiency in GenAI use cases (text generation, summarization, image generation, etc.) and LLMs (OpenAI GPT, BERT, etc.). Experience with prompt engineering , RAG pipelines , LangChain , or vector databases is highly desirable. Strong understanding of data structures, algorithms, and model evaluation techniques. Exposure to cloud platforms (AWS/GCP/Azure) and containerization tools like Docker, Kubernetes is a plus. Excellent communication and problem-solving skills. Show more Show less

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Are you excited by the challenge of pushing the boundaries with the latest advancements in computer vision and multi-modal Large Language Models? Does the idea of working on the edge of AI research and applying it to create industry-defining software solutions resonate with you? At Nielsen Sports, we provide the most comprehensive and trusted data and analytics for the global sports ecosystem, helping clients understand media value, fan behavior, and sponsorship effectiveness. This role will place you at the forefront of this mission, architecting and implementing sophisticated AI systems that unlock novel insights from complex multimedia sports data. We are looking for Principal / Sr Principal Engineers to join us on this mission. Key Responsibilities: Technical Leadership & Architecture: Lead the design and architecture of scalable and robust AI/ML systems, particularly focusing on computer vision and LLM applications for sports media analysis Model Development & Training: Spearhead the development, training, and fine-tuning of sophisticated deep learning models (e.g., object detectors like RT-DETR, custom classifiers, generative models) on large-scale, domain-specific datasets (like sports imagery and video) Generalized Object Detection: Develop and implement advanced computer vision models capable of identifying a wide array of visual elements (e.g., logos, brand assets, on-screen graphics) in diverse and challenging sports content, including those not seen during training LLM & GenAI Integration: Explore and implement solutions leveraging LLMs and Generative AI for tasks such as content summarization, insight generation, data augmentation, and model validation (e.g., using vision models to verify detections) System Implementation & Deployment: Build and deploy production-ready AI/ML pipelines, ensuring efficiency, scalability, and maintainability. This includes developing APIs and integrating models into broader Nielsen Sports platforms UI/UX for AI Tools: Guide or contribute to the development of internal tools and simple user interfaces (using frameworks like Streamlit, Gradio, or web stacks) to showcase model capabilities, facilitate data annotation, and allow for human-in-the-loop validation Research & Innovation: Stay at the forefront of advancements in computer vision, LLMs, and related AI fields. Evaluate and prototype new technologies and methodologies to drive innovation within Nielsen Sports Mentorship & Collaboration: Mentor junior engineers, share knowledge, and collaborate effectively with cross-functional teams including product managers, data scientists, and operations Performance Optimization: Optimize model performance for speed and accuracy, and ensure efficient use of computational resources (including cloud platforms like AWS, GCP, or Azure) Data Strategy: Contribute to data acquisition, preprocessing, and augmentation strategies to enhance model performance and generalization Required Qualifications: Bachelors of Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field 5+ years (for Principal / MTS-4) / 8+ years (for Senior Principal / MTS-5) of hands-on experience in developing and deploying AI/ML models, with a strong focus on Computer Vision Proven experience in training deep learning models for object detection (e.g., YOLO, Faster R-CNN, DETR variants like RT-DETR) on custom datasets Experience in finetuning LLMs like Llama 2/3, Mistral, or open-source models available on Hugging Face using libraries such as Hugging Face Transformers, PEFT, or specialized frameworks like Axolotl/Unsloth Proficiency in Python and deep learning frameworks such as PyTorch (preferred) or TensorFlow/Keras Demonstrable experience with Multi Modal Large Language Models (LLMs) and their application, including familiarity with transformer architectures and fine-tuning techniques Experience with developing simple UIs for model interaction or data annotation (e.g., using Streamlit, Gradio, Flask/Django) Solid understanding of MLOps principles and experience with tools for model deployment, monitoring, and lifecycle management (e.g., Docker, Kubernetes, Kubeflow, MLflow) Strong software engineering fundamentals, including code versioning (Git), testing, and CI/CD practices Excellent problem-solving skills and the ability to work with complex, large-scale datasets Strong communication and collaboration skills, with the ability to convey complex technical concepts to diverse audiences Full Stack Development experience in any one stack Preferred Qualifications / Bonus Skills: Experience with Generative AI vision models for tasks like image analysis, description, or validation Track record of publications in top-tier AI/ML/CV conferences or journals Experience working with sports data (broadcast feeds, social media imagery, sponsorship analytics) Proficiency in cloud computing platforms (AWS, GCP, Azure) and their AI/ML services Experience with video processing and analysis techniques Familiarity with data pipeline and distributed computing tools (e.g., Apache Spark, Kafka) Demonstrated ability to lead technical projects and mentor team members Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Show more Show less

The Role- As an AI Engineer , you will be responsible for building and optimizing AI-first solutions that power BotPenguin’s conversational and Agentic capabilities. You will work on LLM integrations, NLP pipelines, and machine learning models, while collaborating with cross-functional teams to deliver intelligent experiences at scale. This is a high-impact role that combines engineering, research, and deployment skills to solve real-world problems using artificial intelligence. What you need for this role- Education: Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. Experience: 2–5 years of experience working in AI/ML or related software engineering roles. Technical Skills: Strong proficiency in Python and libraries such as scikit-learn, PyTorch, TensorFlow, Transformers (Hugging Face). Hands-on experience with LLMs (OpenAI, Claude, LLaMA) and building AI agents using API integrations. Experience working with NLP tasks (intent classification, text generation, embeddings, summarization). Familiarity with Vector Databases like Pinecone, FAISS, Elastic Vector DB. Understanding of Prompt Engineering, RAG (Retrieval-Augmented Generation), and embedding generation. Proficiency in building and deploying ML models via Docker/Kubernetes or cloud services like AWS/GCP. Experience with version control systems (GitLab/GitHub) and working in Agile teams. Soft Skills: Strong analytical thinking and problem-solving capabilities. Passion for research, innovation, and applying AI to real-world use-cases. Excellent communication skills and the ability to collaborate across departments. Attention to detail with a focus on model accuracy, explainability, and performance. What you will be doing- Design, build, and optimize AI-powered chatbot features and virtual agents using state-of-the-art models. Collaborate with the Product, Backend, and UI teams to integrate intelligent workflows into the BotPenguin platform. Build, evaluate, and fine-tune language models and NLP components tailored to user use-cases. Implement context-aware chat solutions using embeddings, vector stores, and retrieval mechanisms. Create internal tools for prompt testing, versioning, and debugging AI responses. Monitor model performance metrics such as latency, hallucination rate, and user satisfaction. Explore research papers, open-source innovations, and contribute to rapid experimentation. Write clean, modular, and testable code along with clear documentation for future scalability. Any other development related tasks as required for BotPenguin. Guiding, reviewing the code written by junior members in the team. Top reasons to work with us- Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹300,000.00 - ₹800,000.00 per year Benefits: Flexible schedule Health insurance Provident Fund Schedule: Day shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: AI: 2 years (Required) Work Location: In person

Hello Visionary! We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make an outstanding addition to our vibrant team. Siemens Mobility is an independent run company of Siemens AG. Its core business includes rail vehicles, rail automation and electrification solutions, turnkey systems, intelligent road traffic technology and related services. In Mobility, we help our customers meet the need for hard-working mobility solutions. We’re making the lives of people who travel easier and more enjoyable while constantly developing new, intelligent mobility solutions! We are looking for Deputy Commercial Project Manager You’ll make a difference by Responsible for summarized global reporting to the relevant Management level. Documentation in line with the mandatory internal and external requirements. Managing commercial and legal project subjects. Collaboration with the Project Manager in terms of the project's strategic orientation and its respective internal and external communication. Adherence to fiscal, commercial-law and company-internal commercial rules. Commercial project coordination (e.g. application for and follow-up of bank guarantees, insurances, etc.) as well as coordination of legal, fiscal and insurance subjects. Order entry calculation, concurrent costing and final costing. Asset and cash flow management. Correct allocation and monitoring of costs. Preparation of invoices and follow-up of claims. Project-internal controlling (deadlines, costs, quality). Regular project reporting / project status meetings / milestone reviews. Involves in the creation of final project reports and summarization of lessons learned with feedback to the organization. Overall handling of fiscal, currency-related aspects and insurance subjects, involving the responsible department and taking into consideration internal business models. Steers the project's supply chain incl. procurement, delivery and ECC. Wording of the commercial and legal contractual conditions with customers, consortium members and subcontractors. Involves in negotiations as well as interpretation and implementation of contracts in projects. Analysis and assessment of complex, where applicable international contract constellations. Active contract management together with the Project Manager for risks and opportunities. Claim and change order management. Assertion of own claims and prevention of unjustified claims. Agreement on contractual amendments about the scope of supplies and services, prices, deadlines or other contractually stipulated conditions. Identification and financial assessment of opportunities and risks, definition and implementation of suitable measures to reduce risks or realize opportunities, and creation of contingencies for remaining risks, active risk and opportunity management. Desired Skills: You should have minimum experience of 4-6 years with bachelor’s degree in commerce or finance or accounting along with CA/CS/ICWA with basic understanding of Project Management Have SAP and advanced level of Excel skills will have added advantage. Have good communication skill to take care of different customers within/outside organization. Join us and be yourself! We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us. Make your mark in our exciting world at Siemens. This role is based in Gurgaon. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. We're Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow. Find out more about mobility at: https://new.siemens.com/global/en/products/mobility.html and about Siemens careers at: www.siemens.com/careers Show more Show less

Hello Visionary! We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make an outstanding addition to our vibrant team. Siemens Mobility is an independent run company of Siemens AG. Its core business includes rail vehicles, rail automation and electrification solutions, turnkey systems, intelligent road traffic technology and related services. In Mobility, we help our customers meet the need for hard-working mobility solutions. We’re making the lives of people who travel easier and more enjoyable while constantly developing new, intelligent mobility solutions! We are looking for a Senior Commercial Project Manager You’ll make a difference by: Responsible for summarized global reporting to the relevant Management level. Documentation in line with the mandatory internal and external requirements. Managing commercial and legal project subjects. Collaboration with the Project Manager in terms of the project's strategic orientation and its respective internal and external communication. Adherence to fiscal, commercial-law and company-internal commercial rules. Commercial project coordination (e.g. application for and follow-up of bank guarantees, insurances, etc.) as well as coordination of legal, fiscal and insurance subjects. Order entry calculation, concurrent costing and final costing. Asset and cash flow management. Correct allocation and monitoring of costs. Preparation of invoices and follow-up of claims. Project-internal controlling (deadlines, costs, quality). Regular project reporting / project status meetings / milestone reviews. Involves in the creation of final project reports and summarization of lessons learned with feedback to the organization. Overall handling of fiscal, currency-related aspects and insurance subjects, involving the responsible department and taking into consideration internal business models. Steers the project's supply chain incl. procurement, delivery and ECC. Wording of the commercial and legal contractual conditions with customers, consortium members and subcontractors. Involves in negotiations as well as interpretation and implementation of contracts in projects. Analysis and assessment of complex, where applicable international contract constellations. Active contract management together with the Project Manager for risks and opportunities. Claim and change order management. Assertion of own claims and prevention of unjustified claims. Agreement on contractual amendments about the scope of supplies and services, prices, deadlines or other contractually stipulated conditions. Identification and financial assessment of opportunities and risks, definition and implementation of suitable measures to reduce risks or realize opportunities, and creation of contingencies for remaining risks, active risk and opportunity management. Desired Skills You should have experience of 7-8 years with bachelor’s degree in commerce or finance or accounting along with CA/CS/ICWA with basic understanding of Project Management Have SAP and advanced level of Excel skills will have added advantage. Have good communication skill to deal with different stakeholders Join us and be yourself! We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us. Make your mark in our exciting world at Siemens. This role is based in Mumbai. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. We're Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow. Find out more about mobility at: https://new.siemens.com/global/en/products/mobility.html and about Siemens careers at: www.siemens.com/careers Show more Show less

Job Description Candidates should possess a robust understanding of contractual terminologies and demonstrate the ability to read, comprehend, and interpret both standard and complex contracts. Attention to detail is paramount, with a dedicated commitment to accuracy and quality while meeting deadlines. Onsite work opportunity. India compensation is based upon the local competitive market. Responsibilities Perform contract abstraction, summarization, and management of contracts in the CLM platforms. Review, perform QC, and ensure QA of commercial contracts in accordance with playbook guidelines. Conduct peer reviews of abstracted data to guarantee the capture and input of all critical clauses/data. Interpret and abstract commercial contract documents including MSAs, amendments, DPAs, NDAs, and any nonstandard contracts. Accurately input data into CLM platforms such as Ironclad, Contract Works, Conga, Icertis, etc. Identify and flag items requiring additional information for follow-up. Coach and train new team members on the contract abstraction process. Identify risks in the process and escalate them to management. Prepare and maintain reports and records of the process and tasks. Report to internal stakeholders and management. Assist in creating guidelines and manuals for the process. Help in updating/modifying the guidelines for the client. Perform quality assurance checks on the reviewed contracts. 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 an Orange-level Relativity Best in Service Partner, a Relativity Premium Hosting Partner and maintains ISO/IEC 27001 Certified data centers. KLDiscovery is an Equal Opportunity Employer. Show more Show less

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span: ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling. ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking. DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection. RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output. Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data. Description: We are excited to invite Punjabi speakers to join our team as Digital Content Evaluation Specialists. In this role, you will set the standard for digital content, specifically for transliteration of Roman script to Punjabi. Key Responsibility : You will review real-world data to improve the content to the highest quality. The content you will review includes, but is not limited to: · Mobile and smart TV apps · AI assistant responses · Music, videos, books, and podcasts That means that your work will directly impact the experience for end-users worldwide. This Role Is Great for People Who: · Are intimately familiar with Punjabi as spoken in India · Should be comfortable to transliterate Roman script to Punjabi. · Love a wide variety of content such as music, movies, TV shows, podcasts, and books · Always notice issues in digital and streaming content that could easily be fixed · Regularly use modern technologies like streaming apps, smartphones, smart TVs, and AI Project Details: Job Title: Digital Content Evaluation Specialist Pay Rate: :$3.00/hour Location: Remote (Must be located in India) Schedule: Flexible; Average 4 hours per day Start Date: ASAP Employment Type: Freelance/Independent Contractor Project Duration: Ongoing Note: Welo Data uses state-of-the-art fraud detection systems to ensure all freelancers engaged in the project do not misrepresent their identity, location, or financial details. Requirements: · Native fluency in Punjabi and good knowledge of transliterating Roman script to Punjabi · Must be located in India for at least 5 years · Must be able to follow directions and provide feedback in English if required · Must be able to comply with project conventions and rules noted by the client in English · Must be able to commit to a minimum of 4 hours of work per week (as data volumes allow) · Broad cultural literacy and media awareness across generations and demographics · Understanding of digital content ecosystems and distribution channels · Understanding of online community dynamics and trends · Deep interest and knowledge in modern technological developments Disclaimer I understand that all time spent on this application, including guidance on how to pass the client exam and be hired on the project, is unpaid. I understand that once hired, inactivity can be cause for removal from the project. I understand I have to equip a laptop or personal computer for this project. Mobile devices are not acceptable for this work. To Apply: Submit your resume and a brief statement explaining why you would be a good fit for this role. Include any relevant experience with content evaluation, research, or analysis. Review the non-disclosure agreement (NDA) information and provide consent in the upcoming questionnaire. Please note that the signatures will not be mandatory. You just need to read and review the document. We encourage applications from students and individuals looking to develop professional evaluation skills while maintaining a flexible schedule. Show more Show less

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span: ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling. ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking. DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection. RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output. Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data. Description: We are excited to invite Telugu speakers to join our team as Digital Content Evaluation Specialists. In this role, you will set the standard for digital content, specifically for transliteration of Telugu to Roman script and vice versa. Key Responsibility : You will review real-world data to improve the content to the highest quality. The content you will review includes, but is not limited to: · Mobile and smart TV apps · AI assistant responses · Music, videos, books, and podcasts That means that your work will directly impact the experience for end-users worldwide. This Role Is Great for People Who: · Are intimately familiar with Telugu as spoken in India · Should be comfortable to transliterate Telugu to Roman script and vice versa. · Love a wide variety of content such as music, movies, TV shows, podcasts, and books · Always notice issues in digital and streaming content that could easily be fixed · Regularly use modern technologies like streaming apps, smartphones, smart TVs, and AI Project Details: Job Title: Digital Content Evaluation Specialist Pay Rate: :$3.00/hour Location: Remote (Must be located in India) Schedule: Flexible; Average 4 hours per day Start Date: ASAP Employment Type: Freelance/Independent Contractor Project Duration: Ongoing Note: Welo Data uses state-of-the-art fraud detection systems to ensure all freelancers engaged in the project do not misrepresent their identity, location, or financial details. Requirements: · Native fluency in Telugu and good knowledge of transliterating into Roman script · Must be located in India for at least 5 years · Must be able to follow directions and provide feedback in English if required · Must be able to comply with project conventions and rules noted by the client in English · Must be able to commit to a minimum of 4 hours of work per week (as data volumes allow) · Broad cultural literacy and media awareness across generations and demographics · Understanding of digital content ecosystems and distribution channels · Understanding of online community dynamics and trends · Deep interest and knowledge in modern technological developments Disclaimer I understand that all time spent on this application, including guidance on how to pass the client exam and be hired on the project, is unpaid. I understand that once hired, inactivity can be cause for removal from the project. I understand I have to equip a laptop or personal computer for this project. Mobile devices are not acceptable for this work. To Apply: Submit your resume and a brief statement explaining why you would be a good fit for this role. Include any relevant experience with content evaluation, research, or analysis. Review the non-disclosure agreement (NDA) information and provide consent in the upcoming questionnaire. Please note that the signatures will not be mandatory. You just need to read and review the document. We encourage applications from students and individuals looking to develop professional evaluation skills while maintaining a flexible schedule. Show more Show less

This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing. "DDN's A3I solutions are transforming the landscape of AI infrastructure." – IDC “The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments” - Marc Hamilton, VP, Solutions Architecture & Engineering | NVIDIA DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence. Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management. Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage. As a Lead/Sr. Lead Software Engineer - L4 , you’ll be the final escalation point for the most complex and critical issues affecting enterprise and hyperscale environments. This hands-on role is ideal for a deep technical expert who thrives under pressure and has a passion for solving distributed system challenges at scale. You’ll collaborate with Engineering, Product Management, and Field teams to drive root cause resolutions, define architectural best practices, and continuously improve product resiliency. Leveraging AI tools and automation, you’ll reduce time-to-resolution, streamline diagnostics, and elevate the support experience for strategic customers. Key Responsibilities Technical Expertise & Escalation Leadership Own critical customer case escalations end-to-end, including deep root cause analysis and mitigation strategies. Act as the highest technical escalation point for Infinia support incidents — especially in production-impacting scenarios. Lead war rooms, live incident bridges, and cross-functional response efforts with Engineering, QA, and Field teams. Utilize AI-powered debugging, log analysis, and system pattern recognition tools to accelerate resolution. Product Knowledge & Value Creation Become a subject-matter expert on Infinia internals: metadata handling, storage fabric interfaces, performance tuning, AI integration, etc. Reproduce complex customer issues and propose product improvements or workarounds. Author and maintain detailed runbooks, performance tuning guides, and RCA documentation. Feed real-world support insights back into the development cycle to improve reliability and diagnostics. Customer Engagement & Business Enablement Partner with Field CTOs, Solutions Architects, and Sales Engineers to ensure customer success. Translate technical issues into executive-ready summaries and business impact statements. Participate in post-mortems and executive briefings for strategic accounts. Drive adoption of observability, automation, and self-healing support mechanisms using AI/ML tools. Required Qualifications 8+ years in enterprise storage, distributed systems, or cloud infrastructure support/engineering. Deep understanding of file systems (POSIX, NFS, S3), storage performance, and Linux kernel internals. Proven debugging skills at system/protocol/app levels (e.g., strace, tcpdump, perf). Hands-on experience with AI/ML data pipelines, container orchestration (Kubernetes), and GPU-based architectures. Exposure to RDMA, NVMe-oF, or high-performance networking stacks. Exceptional communication and executive reporting skills. Experience using AI tools (e.g., log pattern analysis, LLM-based summarization, automated RCA tooling) to accelerate diagnostics and reduce MTTR. Preferred Qualifications Experience with DDN, VAST, Weka, or similar scale-out file systems. Strong scripting/coding ability in Python, Bash, or Go. Familiarity with observability platforms: Prometheus, Grafana, ELK, OpenTelemetry. Knowledge of replication, consistency models, and data integrity mechanisms. Exposure to Sovereign AI, LLM model training environments, or autonomous system data architectures. This position requires participation in an on-call rotation to provide after-hours support as needed. Show more Show less

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span: ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling. ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking. DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection. RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output. Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data. Description: We are excited to invite Hindi speakers to join our team as Digital Content Evaluation Specialists. In this role, you will set the standard for digital content, specifically for transliteration of Roman script to Hindi. Key Responsibility : You will review real-world data to improve the content to the highest quality. The content you will review includes, but is not limited to: · Mobile and smart TV apps · AI assistant responses · Music, videos, books, and podcasts That means that your work will directly impact the experience for end-users worldwide. This Role Is Great for People Who: · Are intimately familiar with Hindi as spoken in India · Should be comfortable to transliterate Roman script to Hindi language. · Love a wide variety of content such as music, movies, TV shows, podcasts, and books · Always notice issues in digital and streaming content that could easily be fixed · Regularly use modern technologies like streaming apps, smartphones, smart TVs, and AI Project Details: Job Title: Digital Content Evaluation Specialist Pay Rate: :$3.00/hour Location: Remote (Must be located in India) Schedule: Flexible; Average 4 hours per day Start Date: ASAP Employment Type: Freelance/Independent Contractor Project Duration: Ongoing Note: Welo Data uses state-of-the-art fraud detection systems to ensure all freelancers engaged in the project do not misrepresent their identity, location, or financial details. Requirements: · Native fluency in Hindi and good knowledge of transliterating Roman script to Hindi language · Must be located in India for at least 5 years · Must be able to follow directions and provide feedback in English if required · Must be able to comply with project conventions and rules noted by the client in English · Must be able to commit to a minimum of 4 hours of work per week (as data volumes allow) · Broad cultural literacy and media awareness across generations and demographics · Understanding of digital content ecosystems and distribution channels · Understanding of online community dynamics and trends · Deep interest and knowledge in modern technological developments Disclaimer I understand that all time spent on this application, including guidance on how to pass the client exam and be hired on the project, is unpaid. I understand that once hired, inactivity can be cause for removal from the project. I understand I have to equip a laptop or personal computer for this project. Mobile devices are not acceptable for this work. To Apply: Submit your resume and a brief statement explaining why you would be a good fit for this role. Include any relevant experience with content evaluation, research, or analysis. Review the non-disclosure agreement (NDA) information and provide consent in the upcoming questionnaire. Please note that the signatures will not be mandatory. You just need to read and review the document. We encourage applications from students and individuals looking to develop professional evaluation skills while maintaining a flexible schedule. Show more Show less

🚀 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 details Employment Type: Full-Time Location: Pune, Maharashtra, India Job Category: Innovation & Technology Job Number: WD30240361 Job Description Job Title: ML Platform Engineer – AI & Data Platforms ML Platform Engineering & MLOps (Azure-Focused) Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing, and release automation. Operationalize LLMs and generative AI solutions (e.g., GPT, LLaMA, Claude) with a focus on automation, security, and scalability. Develop and manage infrastructure as code using Terraform, including provisioning compute clusters (e.g., Azure Kubernetes Service, Azure Machine Learning compute), storage, and networking. Implement robust model lifecycle management (versioning, monitoring, drift detection) with Azure-native MLOps components. Infrastructure & Cloud Architecture Design highly available and performant serving environments for LLM inference using Azure Kubernetes Service (AKS) and Azure Functions or App Services. Build and manage RAG pipelines using vector databases (e.g., Azure Cognitive Search, Redis, FAISS) and orchestrate with tools like LangChain or Semantic Kernel. Ensure security, logging, role-based access control (RBAC), and audit trails are implemented consistently across environments. Automation & CI/CD Pipelines Build reusable Azure DevOps pipelines for deploying ML assets (data pre-processing, model training, evaluation, and inference services). Use Terraform to automate provisioning of Azure resources, ensuring consistent and compliant environments for data science and engineering teams. Integrate automated testing, linting, monitoring, and rollback mechanisms into the ML deployment pipeline. Collaboration & Enablement Work closely with Data Scientists, Cloud Engineers, and Product Teams to deliver production-ready AI features. Contribute to solution architecture for real-time and batch AI use cases, including conversational AI, enterprise search, and summarization tools powered by LLMs. Provide technical guidance on cost optimization, scalability patterns, and high-availability ML deployments. Qualifications & Skills Required Experience Bachelor’s or Master’s in Computer Science, Engineering, or a related field. 5+ years of experience in ML engineering, MLOps, or platform engineering roles. Strong experience deploying machine learning models on Azure using Azure ML and Azure DevOps. Proven experience managing infrastructure as code with Terraform in production environments. Technical Proficiency Proficiency in Python (PyTorch, Transformers, LangChain) and Terraform, with scripting experience in Bash or PowerShell. Experience with Docker and Kubernetes, especially within Azure (AKS). Familiarity with CI/CD principles, model registry, and ML artifact management using Azure ML and Azure DevOps Pipelines. Working knowledge of vector databases, caching strategies, and scalable inference architectures. Soft Skills & Mindset Systems thinker who can design, implement, and improve robust, automated ML systems. Excellent communication and documentation skills—capable of bridging platform and data science teams. Strong problem-solving mindset with a focus on delivery, reliability, and business impact. Preferred Qualifications Experience with LLMOps, prompt orchestration frameworks (LangChain, Semantic Kernel), and open-weight model deployment. Exposure to smart buildings, IoT, or edge-AI deployments. Understanding of governance, privacy, and compliance concerns in enterprise GenAI use cases. Certification in Azure (e.g., Azure Solutions Architect, Azure AI Engineer, Terraform Associate) is a plus.

Job details Employment Type: Full-Time Location: Pune, Maharashtra, India Job Category: Innovation & Technology Job Number: WD30240360 Job Description Job Title: Senior Data Scientist – Data & Analytics How you will do it Advanced Analytics, LLMs & Modeling Design and implement advanced machine learning models including deep learning, time-series forecasting, recommendation engines, and LLM-based solutions (e.g., GPT, LLaMA, Claude). Develop use cases around enterprise search, document summarization, conversational AI, and automated knowledge retrieval using large language models. Fine-tune or prompt-engineer foundation models (e.g., OpenAI, Azure OpenAI, Hugging Face) for domain-specific applications. Evaluate and optimize LLM performance, latency, cost-effectiveness, and hallucination mitigation strategies for production use. Data Strategy & Engineering Collaboration Work closely with data and ML engineering teams to integrate LLM-powered applications into scalable, secure, and reliable pipelines. Contribute to the development of retrieval-augmented generation (RAG) architectures using vector databases (e.g., FAISS, Azure Cognitive Search). Support the deployment of models using MLOps principles, ensuring robust monitoring and lifecycle management. Business Impact & AI Strategy Partner with cross-functional stakeholders to identify opportunities for applying LLMs and generative AI to solve complex business challenges. Lead workshops or proofs-of-concept to demonstrate value of LLM use cases across business units. Translate complex model outputs, including those from LLMs, into clear insights and decision support tools for non-technical audiences. Thought Leadership & Mentorship Act as an internal thought leader on AI and LLM innovation, keeping JCI at the forefront of industry advancements. Mentor and upskill data science team members in advanced AI techniques, including transformer models and generative AI frameworks. Contribute to strategic roadmaps for generative AI and model governance within the enterprise. Qualifications & Experience Education in Data Science, Artificial Intelligence, Computer Science, or related quantitative discipline. 5+ years of hands-on experience in data science, including at least 1–2 years working with LLMs or generative AI technologies. Demonstrated success in deploying machine learning and NLP solutions at scale. Proven experience with cloud AI platforms—especially Azure OpenAI, Azure ML, Hugging Face, or AWS Bedrock. Technical Expertise Proficiency in Python and SQL, including libraries like Transformers (Hugging Face), LangChain, PyTorch, and TensorFlow. Experience with prompt engineering, fine-tuning, and LLM orchestration tools. Familiarity with data storage, retrieval systems, and vector databases. Strong understanding of model evaluation techniques for generative AI, including factuality, relevance, and toxicity metrics. Leadership & Soft Skills Strategic thinker with a strong ability to align AI initiatives to business goals. Excellent communication and storytelling skills, especially in articulating the value of LLMs and advanced analytics. Strong collaborator with a track record of influencing stakeholders across product, engineering, and executive teams. Preferred Qualifications Experience with IoT, edge analytics, or smart building systems. Familiarity with LLMOps, LangChain, Semantic Kernel, or similar orchestration frameworks. Knowledge of data privacy and governance considerations specific to LLM usage in enterprise environments.

Immediate Hiring For AI Chatbot Developer - Gurgaon(WFO) About Product Chatbot : AI chatbots have become instrumental in revolutionizing various industries, including insuretech, taxation, and fleet management. In the insuretech sector, AI chatbots are employed to enhance customer interactions, providing instant assistance with policy inquiries, claims processing, and policy renewals. These chatbots leverage natural language processing to understand and respond to customer queries, improving the overall customer experience and reducing response times. In taxation, AI chatbots streamline complex processes by assisting users with tax-related questions, helping them navigate tax regulations, and providing real-time updates on changes in tax laws. These chatbots can guide users through the filing process, ensuring accuracy and compliance while simplifying the overall tax experience. Fleet management benefits from AI chatbots by automating communication and decision-making processes. Chatbots in this context can provide real-time information on vehicle locations, maintenance schedules, and fuel consumption. They enable efficient coordination of fleet activities, optimizing routes, and addressing maintenance issues promptly. This not only improves operational efficiency but also contributes to cost savings and enhanced safety. Python Developer (AI Chatbot) Education : Btech / Mtech Experience : 2-4yr Location : Gurgaon Notice Period : Immediate or Max to max 10-15 days only Job Description Developing chatbots and voice assistants on various platforms for diverse business use-cases Work on a chatbot framework/architecture using an open-source tool or library Implement Natural Language Processing (NLP) for chatbots Integration of chatbots with Management Dashboards and CRMs Resolve complex technical design issues by analyzing the logs, debugging code, and identifying technical issues/challenges/bugs in the process Ability to understand business requirements and translate them into technical requirements Open-minded, flexible, and willing to adapt to changing situations Ability to work independently as well as on a team and learn from colleagues Ability to optimize applications for maximum speed and scalability Skills Required Minimum 2+ years of experience in Chatbot Development using any open-source framework (eg Rasa, Botpress) Experience with both text-to-speech and speech-to-text Should have a good understanding of various Chatbot Experience with integration of bots for platforms like Facebook Messenger, Slack, Twitter, WhatsApp, etc. Experience in applying different NLP techniques to problems such as text classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bot's design Should be familiar with these terms : Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context. Knowledge of either SQL and NoSQL Databases such as MySQL, MongoDB, Cassandra, Redis, PostgreSQL (ref:hirist.tech) Show more Show less

Job Title: AI/ML + Backend Developer (SEO Automation & Technical Implementation) Location: Remote (APAC preferred) | Full-Time or Contract 🔹About the Role We’re looking for a 3-7 years experienced technical powerhouse who blends backend engineering, AI/ML experience, and hands-on SEO implementation skills. This hybrid role will support our mission to scale intelligent SEO operations and automate key parts of our publishing workflows. You’ll build custom tools and systems that integrate machine learning, backend development, and SEO performance logic — from programmatic content generation and internal linking engines to technical audits, schema injection, and Google Search Console automations. 🔹What You'll Be Doing 🔧 Backend & Automation Development Build internal tools and APIs using Python or Node.js Automate content workflows (meta/gen content, redirects, schema, etc.) Integrate third-party APIs (GSC, Ahrefs, OpenAI, Gemini, Google Sheets) 🧠 AI/ML Workflows Apply NLP models for entity recognition, summarization, topic clustering Deploy and manage ML inference pipelines Work with LLMs to scale content enhancements (FAQs, headlines, refresh logic) ⚙️ SEO Automation & Technical Implementation Run and implement technical SEO audits (crawl issues, sitemaps, indexing, Core Web Vitals) Automate internal linking, canonical tags, redirects, structured data Use tools like Screaming Frog CLI, GSC API, and Cloudflare for scalable SEO execution 📈 Performance Monitoring Set up dashboards to monitor SEO KPIs and anomaly detection Build alerting systems for performance drops, crawl issues, or deindexed content 🔹 Key Skills Required Languages & Tools: Python (FastAPI, Pandas, Scrapy, etc.) and/or Node.js Databases (PostgreSQL, MongoDB, Redis) Docker, GitHub Actions, Cloud (GCP/AWS preferred) GSC API, Screaming Frog CLI, Google Sheets API OpenAI/Gemini API, LangChain or similar frameworks SEO Knowledge: Strong understanding of on-page and technical SEO Experience with programmatic content, schema markup, and CWV improvements Familiar with common issues like crawl depth, duplication, orphan pages, and indexability 🔹 Nice to Have Experience with content/media/publishing websites Familiarity with CI/CD and working in async product teams Exposure to headless CMS or WordPress API integrations Past experience automating large-scale content or SEO systems 🔹 What You'll Get The chance to work on large-scale content automation and modern SEO problems High autonomy, technical ownership, and visibility in decision-making Flexible remote work and performance-based incentives Direct collaboration with SEO strategy and editorial stakeholders . Show more Show less

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data and AI-first scaled operations services. Based in San Francisco and Hyderabad, we are a fast-moving team on a mission to build AI for Good, driving innovation and societal impact. Role Overview: We’re looking for a Generative AI Engineer to join our client’s team and build intelligent systems powered by large language models and other generative AI architectures. This role involves developing and deploying LLM-based features, integrating vector search, fine-tuning models, and collaborating with product and engineering teams to ship robust, scalable GenAI applications. You’ll work across the GenAI stack — from prompt design to inference optimization — and shape how generative models are used in real-world products. Responsibilities: Fine-tune and deploy LLMs (e.g., GPT, LLaMA, Mistral) using frameworks like Hugging Face Transformers or LangChain Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases (e.g., Pinecone, FAISS) Engineer prompts for structured, reliable outputs across use cases (chatbots, summarization, coding copilots, etc.) Implement scalable inference pipelines and optimize latency, throughput, and cost using techniques like quantization or model distillation Collaborate with product, design, and frontend teams to integrate GenAI into user-facing features Monitor, evaluate, and continuously improve model performance, safety, and accuracy in production Ensure compliance with privacy, safety, and responsible AI practices (e.g., content filtering, output sanitization) Required Skills: Strong programming skills in Python, with familiarity in modern ML tooling Practical experience with LLM frameworks (e.g., Hugging Face Transformers, LangChain, LlamaIndex) Experience building or deploying RAG pipelines, including handling embeddings and vector search Understanding of transformer models, prompt engineering, and tokenization strategies Hands-on with APIs (OpenAI, Anthropic, Cohere, etc.) and model serving (FastAPI, Flask, etc.) Experience deploying ML models using Docker, Kubernetes, and/or cloud services (AWS/GCP/Azure) Comfortable with model evaluation, monitoring, and troubleshooting inference pipelines Nice to Have: Experience with multimodal models (e.g., diffusion models, TTS, image/video generation) Knowledge of RLHF, safety alignment, or model fine-tuning best practices Familiarity with open-source LLMs (e.g., Mistral, LLaMA, Falcon, Mixtral) and optimization (LoRA, quantization) Experience with LangChain agents, tool usage, and memory management Contributions to open-source GenAI projects or published demos/blogs on generative AI Exposure to frontend technologies (React/Next.js) for prototyping GenAI tools Educational Qualifications: Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field Candidates with relevant project experience or open-source contributions may be considered regardless of formal degree Show more Show less