342 Summarization Jobs

Location : Hauz Khas Delhi Experience : 0-1 years Salary : 15k-25k Working days : 5.5 days(Rotational Sat off & Sun fix off) Job Summary: We are seeking a detail-oriented and creative Prompt Engineer to design, refine, and optimize prompts for large language models (LLMs) like GPT, Claude, or Gemini. As a Prompt Engineer, you will collaborate with product teams, data scientists, and developers to create high-performing, context-aware prompts that deliver consistent and accurate results. Key Responsibilities: Design, test, and iterate on prompts for various AI use cases (chatbots, search, summarization, code generation, etc.) Evaluate model outputs for accuracy, consistency, tone, and bias. Work closely with product managers and engineers to translate business requirements into effective AI behaviors. Build prompt libraries, templates, and frameworks for reuse across products. Fine-tune and structure prompts for specific model types and APIs (e.g., OpenAI, Anthropic, Google PaLM). Develop evaluation metrics and benchmarks for prompt performance. Stay updated on LLM advancements, prompt engineering techniques, and ethical AI practices. Requirements: Bachelor's degree in Computer Science, Linguistics, AI/ML, or a related field (or equivalent experience). Understanding of natural language processing (NLP) and large language models. Strong analytical and critical thinking skills. Excellent command of written English; attention to detail in tone, style, and intent. Hands-on experience with LLM APIs (e.g., OpenAI’s GPT-4, Claude, Gemini). Familiarity with prompt tuning, few-shot and zero-shot learning. Preferred Qualifications: Experience with Python and AI/ML tools. Knowledge of UX writing or technical writing is a plus. Familiarity with vector databases and retrieval-augmented generation (RAG). Experience in deploying AI applications in production. Benefits: Competitive salary Opportunities to work on cutting-edge AI projects Learning budget and access to AI research resources Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹22,000.00 per month Benefits: Health insurance Paid sick time Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Experience: AI: 1 year (Preferred) LLM: 1 year (Preferred) Language: English (Preferred) Work Location: In person

Senior MIS Executive Roles and Responsibilities: Manage and maintain the company's Management Information System (MIS) to ensure accurate and up-to-date data management. Extract, compile, and analyze data from multiple sources to generate comprehensive reports and insights. Summarize large datasets to identify trends, patterns, and actionable insights for management. Customize data reports as per business requirements to support decision-making processes. Prepare and manage bulk data efficiently, ensuring data accuracy and consistency. Ensure timely data backup and maintain proper documentation to safeguard critical information. Collaborate with different departments to collect and validate data for reporting purposes. Develop dashboards, charts, and visual reports to present data effectively. Identify process improvements to enhance data management and reporting efficiency. Maintain confidentiality and security of sensitive data at all times. Skills Required: Proficiency in Microsoft Excel, including advanced formulas, pivot tables, and data visualization tools. Strong knowledge of database management tools such as SQL, MS Access, or similar. Excellent analytical and problem-solving skills. Ability to handle large volumes of data with accuracy and efficiency. Strong communication skills to present data insights clearly. Familiarity with data visualization tools like Power BI or Tableau is an added advantage. Ability to manage multiple tasks and meet deadlines effectively. Educational Qualification: Bachelor's degree in Computer Science, Information Technology, Business Administration, or related field. Additional certifications in data analysis, MIS tools, or relevant software are preferred. Experience: Minimum 3-5 years of experience in an MIS or data management role. Prior experience in handling bulk data, data customization, and summarization is desirable. Job Type: Full-time Pay: ₹15,000.00 - ₹40,000.00 per month Benefits: Cell phone reimbursement Health insurance Paid sick time Provident Fund Schedule: Day shift Work Location: In person

Job Description· Having basic understanding from SQL written codes · Hands on coding experience in SQL, PLSQL, MySQL· Good communication and presentation skills· Candidate will be part of the work-stream which delivers end reporting to various internal business users· Extracting data from warehouse to address basic business requirements. It can be direct or with assistance of experts (during initial stage). Classification and summarization of voluminous data, which helps business in decision making. Creating multi-dimensional reports on extracted voluminous data; for regular consumption by decision makers· Develop an understanding of the Data Architecture, Data model and various data entities and data items. Preparation of Process documents and understanding existing processes and making appropriate changes if required· Engagement with various / relevant business stakeholders for managing and setting realistic expectations and delivery timelines. Education - Any Bachelors in Computer Science degree eg: B.Tech (CS)/BE (CS)Location - Mumbai - Andheri Job Types: Full-time, Permanent Pay: ₹240,000.00 - ₹320,000.00 per year Benefits: Flexible schedule Leave encashment Life insurance Paid time off Work from home Schedule: Day shift Fixed shift Weekend availability Work Location: In person Application Deadline: 19/06/2025

Required Skills & Qualifications: Bachelor's degree in Life Sciences, Nursing, Pharmacy, or any medical-related field. Good understanding of medical terminology, anatomy, and physiology. Strong written communication and analytical skills. Attention to detail and ability to handle confidential information. Prior experience in medical transcription, summarization, or clinical documentation is a plus. Show more Show less

Job Description A motivated Life Science graduate with 0-2 years of experience, preferably in medical records reviewing/summarization or medical content writing. In this role, you will be responsible for analyzing and summarizing medical records to support case evaluations, ensuring accuracy and adherence to timelines. On-site work opportunity in our Chennai office. India compensation is based upon the local competitive market. Responsibilities Review and summarize medical records with attention to detail. Identify key data points and compile concise summaries. Collaborate with team members to ensure timely completion of cases. Maintain confidentiality and comply with medical record handling standards. Qualifications Bachelor's degree in Life Sciences or related field. 0-2 years of experience in medical records review or summarization (preferred). Strong analytical and written communication skills. Familiarity with medical terminology is a plus. 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

Python ML Engineer Experience : 3 to 4 years Location : Chennai Type : Full-time About the Role We are looking for a talented and motivated Machine Learning Engineer with strong experience in Natural Language Processing (NLP) and Python . The ideal candidate will have hands-on experience developing and deploying machine learning models, particularly focused on text data, and be comfortable working in a fast-paced, collaborative environment. Key Responsibilities Design, develop, and deploy NLP models for text classification, information extraction, summarization, and/or sentiment analysis. Preprocess and clean large text corpora using NLP tools and libraries. Implement and fine-tune machine learning models using libraries like scikit-learn , spaCy , Transformers , or TensorFlow/Keras . Work with OCR tools (e.g., Tesseract , EasyOCR ) if working with scanned documents/images. Collaborate with data scientists, backend engineers, and product managers to integrate ML models into production systems. Analyse model performance and continuously improve accuracy, precision, and recall. Write clean, maintainable, and testable Python code. Required Skills & Qualifications 2 to 3 years of hands-on experience in Machine Learning and NLP using Python. Strong grasp of text preprocessing , tokenization , POS tagging , NER , topic modelling , etc. Experience with spaCy , NLTK , Hugging Face Transformers , or similar NLP libraries. Experience building and tuning models for classification, clustering, or regression tasks. Knowledge of OCR technologies (e.g., Tesseract , OpenCV ) is a plus. Familiarity with version control systems (e.g., Git ) and agile development. Bachelor's degree in Computer Science, Data Science, AI, or a related field. 📩 Don’t miss out! Send your CV to Prerana.prakash@adept-view.com today! Show more Show less

Job Description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Manager - Decision Sciences Principal Responsibilities The role holder is expected to perform on the following aspects: Apply innovative thinking and analytical techniques including data mining / modeling techniques as applicable to build regulatory models (Basel pillar 1 IRB models) and model implementation in Python Coordination with internal (within GRA) and external (front line business, regulatory oversight teams, etc.) stakeholders to understand the requirement of the project and delivery and stick to path of regulatory compliance. Identify areas which require data remediation and proactively engage with internal / external stakeholder to address them. Clear documentation / summarization of the analytical output. Overall model risk management. Promote collaboration with Group and Regional teams to achieve business objectives. Support training and participate in technical workshops to enhance overall teams’ relevance in the industry. Engage with team leads, senior management, project owners and project sponsors as well as model reviewers and approvers to get best output at the first attempt.­ Requirements Experience 4+ years of experience in banking domain / regulatory risk analytics/ capital management Hands-on experience on at least one regulatory model development/implementation in python environment would be preferred. Prior experience in risk management, regulatory risk model development/implementation, model risk management would be preferred. Understanding of commercial banking and wholesale related products would be preferred Masters in any numeric discipline Stats/Maths, Engineering (or B-tech with relevance experience), Economics, MS / MBA in Finance.Highly focused on project delivery, attention to detail Excellent written and verbal communication skills Hands-on statistical knowledge with scorecard /econometric model development capability Strong collaborative, influencing and team building skills. Strong analytical and problem solving skills, open minded, flexible, pragmatic Strong documentation and summarizing skills for senior audiences Strong programming skills in Python/SAS and experience of working with large volume of data Willing to work with colleagues in other areas/time zones where appropriate You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued By HSBC Electronic Data Processing (India) Private LTD*** Show more Show less

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

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

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

Organization Snapshot: Birdeye is the leading all-in-one Experience Marketing platform , trusted by over 100,000+ businesses worldwide to power customer acquisition, engagement, and retention through AI-driven automation and reputation intelligence. From local businesses to global enterprises, Birdeye enables brands to deliver exceptional customer experiences across every digital touchpoint. As we enter our next phase of global scale and product-led growth , AI is no longer an add-on—it’s at the very heart of our innovation strategy . Our future is being built on Large Language Models (LLMs), Generative AI, Conversational AI, and intelligent automation that can personalize and enhance every customer interaction in real time. Job Overview: Birdeye is seeking a Senior Data Scientist – NLP & Generative AI to help reimagine how businesses interact with customers at scale through production-grade, LLM-powered AI systems . If you’re passionate about building autonomous, intelligent, and conversational systems , this role offers the perfect platform to shape the next generation of agentic AI technologies. As part of our core AI/ML team, you'll design, deploy, and optimize end-to-end intelligent systems —spanning LLM fine-tuning , Conversational AI , Natural Language Understanding (NLU) , Retrieval-Augmented Generation (RAG) , and Autonomous Agent frameworks . This is a high-impact IC role ideal for technologists who thrive at the intersection of deep NLP research and scalable engineering . Key Responsibilities: LLM, GenAI & Agentic AI Systems Architect and deploy LLM-based frameworks using GPT, LLaMA, Claude, Mistral, and open-source models. Implement fine-tuning , LoRA , PEFT , instruction tuning , and prompt tuning strategies for production-grade performance. Build autonomous AI agents with tool use , short/long-term memory , planning , and multi-agent orchestration (using LangChain Agents, Semantic Kernel, Haystack, or custom frameworks). Design RAG pipelines with vector databases ( Pinecone , FAISS , Weaviate ) for domain-specific contextualization. Conversational AI & NLP Engineering Build Transformer-based Conversational AI systems for dynamic, goal-oriented dialog—leveraging orchestration tools like LangChain, Rasa, and LLMFlow. Implement NLP solutions for semantic search , NER , summarization , intent detection , text classification , and knowledge extraction . Integrate modern NLP toolkits: SpaCy, BERT/RoBERTa, GloVe, Word2Vec, NLTK , and HuggingFace Transformers . Handle multilingual NLP, contextual embeddings, and dialogue state tracking for real-time systems. Scalable AI/ML Engineering Build and serve models using Python , FastAPI , gRPC , and REST APIs . Containerize applications with Docker , deploy using Kubernetes , and orchestrate with CI/CD workflows. Ensure production-grade reliability, latency optimization, observability, and failover mechanisms. Cloud & MLOps Infrastructure Deploy on AWS SageMaker , Azure ML Studio , or Google Vertex AI , integrating with serverless and auto-scaling services. Own end-to-end MLOps pipelines : model training, versioning, monitoring, and retraining using MLflow , Kubeflow , or TFX . Cross-Functional Collaboration Partner with Product, Engineering, and Design teams to define AI-first experiences. Translate ambiguous business problems into structured ML/AI projects with measurable ROI. Contribute to roadmap planning, POCs, technical whitepapers, and architectural reviews. Technical Skillset Required Programming : Expert in Python , with strong OOP and data structure fundamentals. Frameworks : Proficient in PyTorch , TensorFlow , Hugging Face Transformers , LangChain , OpenAI/Anthropic APIs . NLP/LLM : Strong grasp of Transformer architecture , Attention mechanisms , self-supervised learning , and LLM evaluation techniques . MLOps : Skilled in CI/CD tools, FastAPI , Docker , Kubernetes , and deployment automation on AWS/Azure/GCP . Databases : Hands-on with SQL/NoSQL databases, Vector DBs , and retrieval systems. Tooling : Familiarity with Haystack , Rasa , Semantic Kernel , LangChain Agents , and memory-based orchestration for agents. Applied Research : Experience integrating recent GenAI research (AutoGPT-style agents, Toolformer, etc.) into production systems. Bonus Points Contributions to open-source NLP or LLM projects. Publications in AI/NLP/ML conferences or journals. Experience in Online Reputation Management (ORM) , martech, or CX platforms. Familiarity with reinforcement learning , multi-modal AI , or few-shot learning at scale. Show more Show less

Location : Hauz Khas Delhi Experience : 0-1 years Salary : 15k-25k Working days : 5.5 days(Rotational Sat off & Sun fix off) Job Summary: We are seeking a detail-oriented and creative Prompt Engineer to design, refine, and optimize prompts for large language models (LLMs) like GPT, Claude, or Gemini. As a Prompt Engineer, you will collaborate with product teams, data scientists, and developers to create high-performing, context-aware prompts that deliver consistent and accurate results. Key Responsibilities: Design, test, and iterate on prompts for various AI use cases (chatbots, search, summarization, code generation, etc.) Evaluate model outputs for accuracy, consistency, tone, and bias. Work closely with product managers and engineers to translate business requirements into effective AI behaviors. Build prompt libraries, templates, and frameworks for reuse across products. Fine-tune and structure prompts for specific model types and APIs (e.g., OpenAI, Anthropic, Google PaLM). Develop evaluation metrics and benchmarks for prompt performance. Stay updated on LLM advancements, prompt engineering techniques, and ethical AI practices. Requirements: Bachelor's degree in Computer Science, Linguistics, AI/ML, or a related field (or equivalent experience). Understanding of natural language processing (NLP) and large language models. Strong analytical and critical thinking skills. Excellent command of written English; attention to detail in tone, style, and intent. Hands-on experience with LLM APIs (e.g., OpenAI’s GPT-4, Claude, Gemini). Familiarity with prompt tuning, few-shot and zero-shot learning. Preferred Qualifications: Experience with Python and AI/ML tools. Knowledge of UX writing or technical writing is a plus. Familiarity with vector databases and retrieval-augmented generation (RAG). Experience in deploying AI applications in production. Benefits: Competitive salary Opportunities to work on cutting-edge AI projects Learning budget and access to AI research resources Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹22,000.00 per month Benefits: Health insurance Paid sick time Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Experience: AI: 1 year (Preferred) LLM: 1 year (Preferred) Language: English (Preferred) Work Location: In person

As a Senior Manager for data science, data modelling & Analytics, you will lead a team of data scientists and analysts while actively contributing to the development and implementation of advanced analytics solutions. This role requires a blend of strategic leadership and hands-on technical expertise to drive data-driven decision-making across the organization. Job Description: Key Responsibilities Hands-On Technical Contribution Design, develop, and deploy advanced machine learning models and statistical analyses to solve complex business problems. Utilize programming languages such as Python, R, and SQL to manipulate data and build predictive models. Understand end-to-end data pipelines, including data collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on solutions and metrics based on the understanding of nature of business requirement. Team Leadership & Development Lead, mentor, and manage a team of data scientists and analysts, fostering a collaborative and innovative environment. Provide guidance on career development, performance evaluations, and skill enhancement. Promote continuous learning and adoption of best practices in data science methodologies. Engage and manage a hierarchical team while fostering a culture of collaboration. Strategic Planning & Execution Collaborate with senior leadership to define the data science strategy aligned with business objectives. Identify and prioritize high-impact analytics projects that drive business value. Ensure the timely delivery of analytics solutions, balancing quality, scope, and resource constraints. Client Engagement & Stakeholder Management Serve as the primary point of contact for clients, understanding their business challenges and translating them into data science solutions. Lead client presentations, workshops, and discussions to communicate complex analytical concepts in an accessible manner. Develop and maintain strong relationships with key client stakeholders, ensuring satisfaction and identifying opportunities for further collaboration. Manage client expectations, timelines, and deliverables, ensuring alignment with business objectives. Develop and deliver regular reports and dashboards to senior management, market stakeholders and clients highlighting key insights and performance metrics. Act as a liaison between technical teams and business units to align analytics initiatives with organizational goals. Cross-Functional Collaboration Work closely with cross capability teams such as Business Intelligence, Market Analytics, Data engineering to integrate analytics solutions into business processes. Translate complex data insights into actionable recommendations for non-technical stakeholders. Facilitate workshops and presentations to promote data driven conversations across the organization. Closely working with support functions to provide timely updates to leadership on operational metrics. Governance & Compliance Ensure adherence to data governance policies, including data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical use of analytics. Stay informed about industry trends and regulatory changes impacting data analytics. Qualifications Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Experience: 12+ years of experience in advanced analytics, data science, data modelling, machine learning, Generative AI or a related field with 5+ years in a leadership capacity. Proven track record of managing and delivering complex analytics projects. Familiarity with the BFSI/Hi Tech/Retail/Healthcare industry and experience with product, transaction, and customer-level data Experience with media data will be advantageous Technical Skills: Proficiency in programming languages like Python, R, or SQL. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with big data platforms (e.g., Hadoop, Spark) and cloud services (e.g., AWS, GCP, Azure). Knowledge of machine learning frameworks and libraries. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and interpersonal skills. Ability to influence and drive change within the organization. Strategic thinker with a focus on delivering business outcomes. Desirable Attributes Proficient in the following advanced analytics techniques (Should have proficiency in most) Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modelling Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including (Should have proficiency in most) Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents (Good to Have) Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives Hyper parameter tuning Prompt Engineering Embedding & Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI (Good to Have) Strong skills in data management, structuring, and harmonization to support analytical needs (Must have) Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent

Note: Please apply only if you have 6 years or more of relevant experience in Data Science (excluding internship) Comfortable working 5-days a week from Gurugram, Haryana Are an immediate joiner or currently serving your notice period About Eucloid At Eucloid, innovation meets impact. As a leader in AI and Data Science, we create solutions that redefine industries—from Hi-tech and D2C to Healthcare and SaaS. With partnerships with giants like Databricks, Google Cloud, and Adobe, we’re pushing boundaries and building next-gen technology. Join our talented team of engineers, scientists, and visionaries from top institutes like IITs, IIMs, and NITs. At Eucloid, growth is a promise, and your work will drive transformative results for Fortune 100 clients. What You’ll Do As a GenAI Engineer, you will play a pivotal role in designing and deploying data-driven and GenAI-powered solutions. Your responsibilities will include: Analyzing large sets of structured and unstructured data to extract meaningful insights and drive business impact. Designing and developing Machine Learning models, including regression, time series forecasting, clustering, classification, and NLP. Building, fine-tuning, and deploying Large Language Models (LLMs) such as GPT, BERT, or LLaMA for tasks like text summarization, generation, and classification. Working with Hugging Face Transformers, LangChain, and vector databases (e.g., FAISS, Pinecone) to develop scalable GenAI pipelines. Applying prompt engineering techniques and Reinforcement Learning with Human Feedback (RLHF) to optimize GenAI applications. Building and deploying models using Python, R, TensorFlow, PyTorch, and Scikit-learn within production-ready environments like Flask, Azure Functions, and AWS Lambda. Developing and maintaining scalable data pipelines in collaboration with data engineers. Implementing solutions on cloud platforms like AWS, Azure, or GCP for scalable and high-performance AI/ML applications. Enhancing BI and visualization tools such as Tableau, Power BI, Qlik, and Plotly to communicate data insights effectively. Collaborating with stakeholders to translate business challenges into GenAI/data science problems and actionable solutions. Staying updated on emerging GenAI and AI/ML technologies and incorporating best practices into projects. What Makes You a Fit Academic Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. Technical Expertise: 6+ years of hands-on experience in applying Machine Learning techniques (clustering, classification, regression, NLP). Strong proficiency in Python and SQL, with experience in frameworks like Flask or Django. Expertise in Big Data environments using PySpark. Deep understanding of ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Hands-on experience with Hugging Face Transformers, OpenAI API, or similar GenAI libraries. Knowledge of vector databases and retrieval-augmented generation (RAG) techniques. Proficiency in cloud-based AI/ML deployment on AWS, Azure, or GCP. Experience in Docker and containerization for ML model deployment. Knowledge of code management methodologies and best practices for implementing scalable ML/GenAI solutions. Extra Skills: Experience in Deep Learning and Reinforcement Learning. Hands-on experience with NLP, Text Mining, and LLM architectures. Experience in business intelligence and data visualization tools (Tableau, Power BI, Qlik). Experience with prompt engineering and fine-tuning LLMs for production use cases. Ability to effectively communicate insights and translate technical work into business value. Why You’ll Love It Here Innovate with the Best Tech: Work on groundbreaking projects using AI, GenAI, LLMs, and massive-scale data platforms. Tackle challenges that push the boundaries of innovation. Impact Industry Giants: Deliver business-critical solutions for Fortune 100 clients across Hi-tech, D2C, Healthcare, SaaS, and Retail. Partner with platforms like Databricks, Google Cloud, and Adobe to create high-impact products. Collaborate with a World-Class Team: Join exceptional professionals from IITs, IIMs, NITs, and global leaders like Walmart, Amazon, Accenture, and ZS. Learn, grow, and lead in a team that values expertise and collaboration. Accelerate Your Growth: Access our Centres of Excellence to upskill and work on industry-leading innovations. Your professional development is a top priority. Work in a Culture of Excellence: Be part of a dynamic workplace that fosters creativity, teamwork, and a passion for building transformative solutions. Your contributions will be recognized and celebrated. About Our Leadership Anuj Gupta – Former Amazon leader with over 22 years of experience in building and managing large engineering teams. (B.Tech, IIT Delhi; MBA, ISB Hyderabad). Raghvendra Kushwah – Business consulting expert with 21+ years at Accenture and Cognizant (B.Tech, IIT Delhi; MBA, IIM Lucknow). Key Benefits Competitive salary and performance-based bonus. Comprehensive benefits package, including health insurance and flexible work hours. Opportunities for professional development and career growth. Location: Gurugram Submit your resume to saurabh.bhaumik@eucloid.com with the subject line “ Application: GenAI Engineer. ” Eucloid is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment. Show more Show less

Role Requirements: Hands-on experience with building intelligent AI application pipelines using OCR, layout parsing, and metadata extraction techniques. Expertise in building vector databases and search indexes using embedding models (OpenAI, Hugging Face models, or proprietary). Strong experience designing semantic and hybrid search frameworks using similarity search libraries (FAISS, Milvus etc.) or cloud-native services (Azure AI Search, AWS OpenSearch, AWS Bedrock etc.) Ability to fine-tune or prompt-tune LLMs for document classification, information retrieval, and summarization tasks. Familiar with knowledge graph creation, indexing strategies, and advanced querying methods for unstructured datasets. Desired Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative field. Minimum 5-7 years of experience working on document intelligence, text mining, or search-based AI applications. Proven experience communicating complex ML results and search design choices to business and engineering stakeholders. Strong teamwork and cross-functional collaboration skills. Excellent analytical and structured problem-solving skills. Interested, please share your resume to harish.murugesan@xptsoftware.com Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY- Assurance – Sr.Manager - Digital Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a combination of a technical role and a business development role in AI, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Responsibilities 10-12 years of experience in Data Science, with about 15 years of total experience Talk to businesses across Assurance teams and understand the problem and develop the solution based on problem, infra and cost limitations Respond to AI related RFPs and business cases Ensure team’s utilization and billability – i.e ensure that the projects are lined up for developers on after the other Convert business problem into analytical problem and devise a solution approach Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 6+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, function calling, frameworks like LangChain, Llama Index, agents etc. Retriever augmented generation and prompt engineering. Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis. Computer Vision- Image Classification, Object Detection, Tracking etc. SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors What We Look For A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

As a Senior Manager for data science, data modelling & Analytics, you will lead a team of data scientists and analysts while actively contributing to the development and implementation of advanced analytics solutions. This role requires a blend of strategic leadership and hands-on technical expertise to drive data-driven decision-making across the organization. Job Description: Key Responsibilities Hands-On Technical Contribution Design, develop, and deploy advanced machine learning models and statistical analyses to solve complex business problems. Utilize programming languages such as Python, R, and SQL to manipulate data and build predictive models. Understand end-to-end data pipelines, including data collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on solutions and metrics based on the understanding of nature of business requirement. Team Leadership & Development Lead, mentor, and manage a team of data scientists and analysts, fostering a collaborative and innovative environment. Provide guidance on career development, performance evaluations, and skill enhancement. Promote continuous learning and adoption of best practices in data science methodologies. Engage and manage a hierarchical team while fostering a culture of collaboration. Strategic Planning & Execution Collaborate with senior leadership to define the data science strategy aligned with business objectives. Identify and prioritize high-impact analytics projects that drive business value. Ensure the timely delivery of analytics solutions, balancing quality, scope, and resource constraints. Client Engagement & Stakeholder Management Serve as the primary point of contact for clients, understanding their business challenges and translating them into data science solutions. Lead client presentations, workshops, and discussions to communicate complex analytical concepts in an accessible manner. Develop and maintain strong relationships with key client stakeholders, ensuring satisfaction and identifying opportunities for further collaboration. Manage client expectations, timelines, and deliverables, ensuring alignment with business objectives. Develop and deliver regular reports and dashboards to senior management, market stakeholders and clients highlighting key insights and performance metrics. Act as a liaison between technical teams and business units to align analytics initiatives with organizational goals. Cross-Functional Collaboration Work closely with cross capability teams such as Business Intelligence, Market Analytics, Data engineering to integrate analytics solutions into business processes. Translate complex data insights into actionable recommendations for non-technical stakeholders. Facilitate workshops and presentations to promote data driven conversations across the organization. Closely working with support functions to provide timely updates to leadership on operational metrics. Governance & Compliance Ensure adherence to data governance policies, including data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical use of analytics. Stay informed about industry trends and regulatory changes impacting data analytics. Qualifications Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Experience: 12+ years of experience in advanced analytics, data science, data modelling, machine learning, Generative AI or a related field with 5+ years in a leadership capacity. Proven track record of managing and delivering complex analytics projects. Familiarity with the BFSI/Hi Tech/Retail/Healthcare industry and experience with product, transaction, and customer-level data Experience with media data will be advantageous Technical Skills: Proficiency in programming languages like Python, R, or SQL. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with big data platforms (e.g., Hadoop, Spark) and cloud services (e.g., AWS, GCP, Azure). Knowledge of machine learning frameworks and libraries. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and interpersonal skills. Ability to influence and drive change within the organization. Strategic thinker with a focus on delivering business outcomes. Desirable Attributes Proficient in the following advanced analytics techniques ( Should have proficiency in most) Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modelling Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including ( Should have proficiency in most ) Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents ( Good to Have ) Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives Hyper parameter tuning Prompt Engineering Embedding & Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI ( Good to Have ) Strong skills in data management, structuring, and harmonization to support analytical needs (Must have) Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less

Date: Jun 11, 2025 Job Requisition Id: 61561 Location: Pune, IN YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire AI/ML Professionals in the following areas : Designation: AI Engineer Experience: 2–4 Years Job Type: Full-time We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. In this role, you will leverage your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions. You will design, develop, and deploy sophisticated machine learning models, conduct in-depth data analyses, and collaborate with cross-functional teams to deliver actionable insights. Responsibilities: Build and deploy ML models for classification, regression, and clustering tasks. Apply foundational GenAI concepts such as embeddings, summarization, and RAG. Use APIs and tools like LangChain, vector databases (e.g., Pinecone, FAISS). Prepare documentation and results interpretation. Required Skills: Strong hands-on experience in Python, Scikit-learn, Pandas. Knowledge of model evaluation, feature engineering, and model tuning. Exposure to LangChain and vector DBs. Basic exposure to FastAPI or Flask. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

About iSOCRATES Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM) iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether you’re a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth - so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. Overview We are seeking a highly skilled, experienced, motivated, results-oriented, and business-minded Corporate Attorney to support a wide range of company activities including: contracts, compliance, inbound and outbound business proposals, C-level, HR and board-level support, and various strategic and operational initiatives. In this role, you will be responsible for drafting and negotiating contracts, providing legal guidance to internal stakeholders, interfacing with client’s counsel on matters related to commercial contract transactions and other corporate legal issues. The ideal candidate will have experience in the following areas. Handle a wide range of legal matters including commercial contracts, employment, compliance and other general corporate matters and provide legal guidance to internal stakeholders of matters related to commercial contracts and other legal issues Draft, review, and negotiate corporate, managed services and SaaS agreements, including but not limited to : Non-Disclosure Agreements (NDA) Vendor and Channel Partner Agreements SAFE agreements Agreements for Board Members Employment Agreements Capital Raising And, work on any such legal documents related to corporate entities including iSOCRATES Inc. and MADTECH.AI Inc. Develop and drive compliance policies and procedures designed to enhance employee awareness of corporate business standards, with a focus on data protection and privacy statutes in the US and EU Supervise and coordinate with outside counsel as necessary Participate in financing and M&A activities as necessary Responsibilities: Manage Contract Life cycle including Contract Review and analytics, Acquisitions, and legal compliance. Contract preparation, Contract Redlining, Contract Abstraction, Contract Summarization, Interpreting contracts including but not limited to MSA, SOW, and NDA, and advising business teams on contractual responsibilities. Advise on ownership, protection, and licensing of intellectual property, including software and AI-generated content. Ensure compliance with global data privacy laws (e.g., HIPAA, GDPR, CCPA) and assist in drafting Data Processing Agreements (DPAs) where applicable. Review and negotiate investment instruments such as SAFE notes and other early-stage funding documents. Assist in Board governance documentation and legal compliance as needed. Draft and maintain employment agreements, consulting agreements, and non-compete/confidentiality clauses for global hires. Draft, negotiate and review a wide variety of agreements (domestic and international with a focus on the US and EU). Should be able to independently manage agreements end to end. Prepare, review, and revise commercial-related documents (T&Cs, etc.) Develop company policy and position on legal issues. Researching, anticipating, and guarding the company against legal risks. Contribute to due diligence with respect to M&A from a legal perspective. Renew agreements as per the due dates and as and when needed. Maintain Files, Records & MIS to ensure management is aware of legal obligations and liabilities. Maintaining templates for standard agreements and supporting policy formulation. Stay abreast of changing laws globally and identify the applicability of various laws. Advise management on regulatory matters. Create compliance checklists, audit relevant teams, and consult with regulators. Advise on export control, anti-bribery, and third-party risk frameworks relevant to global marketing and advertising technology platforms. Collaborate closely with both Sales, Operations, and Partner success teams, and participate as support in meetings (video and face-to-face) to ensure long-term trusted relationships with existing and new clients, consultants, and partners. Working with outside counsel, review and improve our legal documents (global commercial clauses and employment-related templates. Conduct research and have an overview of local changes in applicable laws and regulations, foresee any potential risk, and communicate and implement relevant legal documents accordingly. Requirements: Strong academic background, with a master’s degree or higher in Law, with specialization in Contracts Law, Privacy Law, International (USA & EU). 5 years+ experience in a similar role, in a fast-growth environment, with deep knowledge and understanding of all types of employment matters, and labor relationships in general. Proven background and extensive experience in International corporate law (contract law, licensing) Proactive counseling with anticipation to quickly adapt the approach to manage risks and mitigate issues before they arise. Excellent negotiation and oral/written communication skills in American Business English. Strong collaboration skills with cross-functional teams, with the ability to resolve issues using communication skills and legal expertise. Strong decision-making and organizational skills, with great attention to detail and discipline, and the ability to provide expertise and practical advice. Ability to work under pressure and within service level agreements committed. Ability to prioritize and manage multiple projects at once. Time management and organization to meet strict deadlines. Ability to analyze problems and come up with a solution. Required to work Late EMEA/ ET (USA) timings. Personal experience abroad (USA) or living in multiple countries is a plus. Prior experience in BPO, SaaS and/or technology managed services is required

As a Senior Manager for data science, data modelling & Analytics, you will lead a team of data scientists and analysts while actively contributing to the development and implementation of advanced analytics solutions. This role requires a blend of strategic leadership and hands-on technical expertise to drive data-driven decision-making across the organization. Job Description: Key Responsibilities Hands-On Technical Contribution Design, develop, and deploy advanced machine learning models and statistical analyses to solve complex business problems. Utilize programming languages such as Python, R, and SQL to manipulate data and build predictive models. Understand end-to-end data pipelines, including data collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on solutions and metrics based on the understanding of nature of business requirement. Team Leadership & Development Lead, mentor, and manage a team of data scientists and analysts, fostering a collaborative and innovative environment. Provide guidance on career development, performance evaluations, and skill enhancement. Promote continuous learning and adoption of best practices in data science methodologies. Engage and manage a hierarchical team while fostering a culture of collaboration. Strategic Planning & Execution Collaborate with senior leadership to define the data science strategy aligned with business objectives. Identify and prioritize high-impact analytics projects that drive business value. Ensure the timely delivery of analytics solutions, balancing quality, scope, and resource constraints. Client Engagement & Stakeholder Management Serve as the primary point of contact for clients, understanding their business challenges and translating them into data science solutions. Lead client presentations, workshops, and discussions to communicate complex analytical concepts in an accessible manner. Develop and maintain strong relationships with key client stakeholders, ensuring satisfaction and identifying opportunities for further collaboration. Manage client expectations, timelines, and deliverables, ensuring alignment with business objectives. Develop and deliver regular reports and dashboards to senior management, market stakeholders and clients highlighting key insights and performance metrics. Act as a liaison between technical teams and business units to align analytics initiatives with organizational goals. Cross-Functional Collaboration Work closely with cross capability teams such as Business Intelligence, Market Analytics, Data engineering to integrate analytics solutions into business processes. Translate complex data insights into actionable recommendations for non-technical stakeholders. Facilitate workshops and presentations to promote data driven conversations across the organization. Closely working with support functions to provide timely updates to leadership on operational metrics. Governance & Compliance Ensure adherence to data governance policies, including data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical use of analytics. Stay informed about industry trends and regulatory changes impacting data analytics. Qualifications Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Experience: 12+ years of experience in advanced analytics, data science, data modelling, machine learning, Generative AI or a related field with 5+ years in a leadership capacity. Proven track record of managing and delivering complex analytics projects. Familiarity with the BFSI/Hi Tech/Retail/Healthcare industry and experience with product, transaction, and customer-level data Experience with media data will be advantageous Technical Skills: Proficiency in programming languages like Python, R, or SQL. Experience with data visualization tools (e.g., Tableau, Power BI). Familiarity with big data platforms (e.g., Hadoop, Spark) and cloud services (e.g., AWS, GCP, Azure). Knowledge of machine learning frameworks and libraries. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and interpersonal skills. Ability to influence and drive change within the organization. Strategic thinker with a focus on delivering business outcomes. Desirable Attributes Proficient in the following advanced analytics techniques ( Should have proficiency in most) Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modelling Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including ( Should have proficiency in most ) Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents ( Good to Have ) Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives Hyper parameter tuning Prompt Engineering Embedding & Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI ( Good to Have ) Strong skills in data management, structuring, and harmonization to support analytical needs (Must have) Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less

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

A leading Software Industry in Mangalore, Karnataka is hiring- Position- Software Developer Experience-5+yrs Should have deep knowledge in React JS & Typescript Interview Mode-Virtual Notice period- 15days to Immediate joiners only Job overview- We are seeking an individual to develop Microsoft Excel plugins for a proof-of-concept initiative. This role focuses on building high-quality frontend solutions using React and TypeScript, integrating with REST APIs developed in Python, and leveraging Git for version control. The ideal candidate has strong experience with Microsoft Office add-ins and a solid foundation in software engineering. Responsibilities 1.Design and develop Microsoft Excel plugins using React, TypeScript, and Office.js for seamless integration. 2.Build and integrate with REST APIs developed in Python to support plugin functionality. 3.Utilize Git for version control, maintaining clean commit histories and collaborating via pull requests. 4.Ensure code quality through modular, testable implementations and effective debugging. 5.Collaborate with backend teams to align frontend components with Python-based microservices. 6.Contribute to the proof-of-concept phase, delivering functional and performant solutions. Required Skills and Qualifications 1.Expertise in React and TypeScript, with experience building production-ready frontend applications. 2.Proven experience developing Microsoft Office add-ins, particularly for Excel, using Office.js APIs and manifest files. 3.Strong knowledge of REST APIs, including designing and consuming JSON-based endpoints. 4.Proficiency in Python for developing REST APIs, preferably with frameworks like FastAPI. 5.Fluency in Git for version control, including branching, merging, and pull request workflows. 6.US-based with legal authorization to work as a contractor. Preferred Skills 1.Experience integrating AI/ML APIs or embedding AI-driven features (e.g., using Llama Index for document summarization). 2.Familiarity with cloud platforms (e.g., AWS, Azure) and containerization (e.g., Docker). 3.Knowledge of modern frontend tooling (e.g., ESLint, Prettier, Storybook, Playwright). 4.Exposure to Agile methodologies and tools like Jira or Confluence. Interested may apply or reach me @ 9663596871 Job Types: Full-time, Fresher Pay: Up to ₹2,000,000.00 per year Benefits: Health insurance Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Supplemental Pay: Yearly bonus Experience: React JS: 5 years (Preferred) Work Location: In person

About ISOCRATES Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM) iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether you’re a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth - so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. Overview We are seeking a highly skilled, experienced, motivated, results-oriented, and business-minded Corporate Attorney to support a wide range of company activities including: contracts, compliance, inbound and outbound business proposals, C-level, HR and board-level support, and various strategic and operational initiatives. In this role, you will be responsible for drafting and negotiating contracts, providing legal guidance to internal stakeholders, interfacing with client’s counsel on matters related to commercial contract transactions and other corporate legal issues. The ideal candidate will have experience in the following areas. Handle a wide range of legal matters including commercial contracts, employment, compliance and other general corporate matters and provide legal guidance to internal stakeholders of matters related to commercial contracts and other legal issues Draft, review, and negotiate corporate, managed services and SaaS agreements, including but not limited to : Non-Disclosure Agreements (NDA) Vendor and Channel Partner Agreements SAFE agreements Agreements for Board Members Employment Agreements Capital Raising And, work on any such legal documents related to corporate entities including iSOCRATES Inc. and MADTECH.AI Inc. Develop and drive compliance policies and procedures designed to enhance employee awareness of corporate business standards, with a focus on data protection and privacy statutes in the US and EU Supervise and coordinate with outside counsel as necessary Participate in financing and M&A activities as necessary Responsibilities Manage Contract Life cycle including Contract Review and analytics, Acquisitions, and legal compliance. Contract preparation, Contract Redlining, Contract Abstraction, Contract Summarization, Interpreting contracts including but not limited to MSA, SOW, and NDA, and advising business teams on contractual responsibilities. Advise on ownership, protection, and licensing of intellectual property, including software and AI-generated content. Ensure compliance with global data privacy laws (e.g., HIPAA, GDPR, CCPA) and assist in drafting Data Processing Agreements (DPAs) where applicable. Review and negotiate investment instruments such as SAFE notes and other early-stage funding documents. Assist in Board governance documentation and legal compliance as needed. Draft and maintain employment agreements, consulting agreements, and non-compete/confidentiality clauses for global hires. Draft, negotiate and review a wide variety of agreements (domestic and international with a focus on the US and EU). Should be able to independently manage agreements end to end. Prepare, review, and revise commercial-related documents (T&Cs, etc.) Develop company policy and position on legal issues. Researching, anticipating, and guarding the company against legal risks. Contribute to due diligence with respect to M&A from a legal perspective. Renew agreements as per the due dates and as and when needed. Maintain Files, Records & MIS to ensure management is aware of legal obligations and liabilities. Maintaining templates for standard agreements and supporting policy formulation. Stay abreast of changing laws globally and identify the applicability of various laws. Advise management on regulatory matters. Create compliance checklists, audit relevant teams, and consult with regulators. Advise on export control, anti-bribery, and third-party risk frameworks relevant to global marketing and advertising technology platforms. Collaborate closely with both Sales, Operations, and Partner success teams, and participate as support in meetings (video and face-to-face) to ensure long-term trusted relationships with existing and new clients, consultants, and partners. Working with outside counsel, review and improve our legal documents (global commercial clauses and employment-related templates. Conduct research and have an overview of local changes in applicable laws and regulations, foresee any potential risk, and communicate and implement relevant legal documents accordingly. Requirements Strong academic background, with a master’s degree or higher in Law, with specialization in Contracts Law, Privacy Law, International (USA & EU). 5 years+ experience in a similar role, in a fast-growth environment, with deep knowledge and understanding of all types of employment matters, and labor relationships in general. Proven background and extensive experience in International corporate law (contract law, licensing) Proactive counseling with anticipation to quickly adapt the approach to manage risks and mitigate issues before they arise. Excellent negotiation and oral/written communication skills in American Business English. Strong collaboration skills with cross-functional teams, with the ability to resolve issues using communication skills and legal expertise. Strong decision-making and organizational skills, with great attention to detail and discipline, and the ability to provide expertise and practical advice. Ability to work under pressure and within service level agreements committed. Ability to prioritize and manage multiple projects at once. Time management and organization to meet strict deadlines. Ability to analyze problems and come up with a solution. Required to work Late EMEA/ ET (USA) timings. Personal experience abroad (USA) or living in multiple countries is a plus. Prior experience in BPO, SaaS and/or technology managed services is required Show more Show less

Skills : Applied Research , Architect and Innovation Experience : 5 - 12 yrs Location : Bangalore and Hyderabad Job Description: Key Responsibilities: Research & Innovation: Conduct applied research in generative AI, foundation models, NLP, computer vision, and multimodal AI. Stay abreast of the latest publications and open-source advancements. Model Development: Fine-tune, evaluate, and optimize large language models (LLMs), transformers, and other generative models for specific business and product use cases. Prototyping & Experimentation: Build proof-of-concepts and experimental systems that demonstrate the potential of GenAI across domains such as content generation, summarization, synthetic data, agent systems, etc. Data & Evaluation Pipelines: Design robust data pipelines, evaluation metrics, and benchmarking systems to validate model performance, safety, and bias. Collaboration: Work with cross-functional teams including product managers, ML engineers, and data scientists to translate research into production-grade systems. Open Source & IP Contribution: Publish findings in peer-reviewed venues, contribute to open-source projects, or generate intellectual property relevant to the business. Required Qualifications: 5–7 years of experience in machine learning or applied AI roles, with at least 2–3 years working on generative models or related research. Strong foundation in deep learning frameworks such as PyTorch, TensorFlow, or JAX. Experience with LLMs (e.g., GPT, LLaMA, Claude), diffusion models, or vision-language models. Proficient in Python and ML tools/libraries such as Hugging Face Transformers, LangChain, or similar. Understanding of responsible AI practices, bias mitigation, and model explainability. Master’s or PhD in Computer Science, Machine Learning, Mathematics, or related fields. Preferred Qualifications: Experience with open-source LLMs or fine-tuning techniques like LoRA, PEFT, RLHF, etc. Knowledge of MLOps practices and deployment of models in production (e.g., via Kubernetes, Ray, Triton). Show more Show less

Job: Java Developer with AI Tooling Expertise Experience: 3 to 8 Years Location: Bangalore, Work from Office Mode: Permanent Job Summary We are seeking a talented Java Developer with 4-5 years of experience in backend development and a strong interest in leveraging AI tools and APIs to enhance product functionality, automation, and user experience. The ideal candidate will be proficient in Java technologies and have hands-on exposure to integrating AI capabilities into enterprise applications. Roles And Responsibilities Understand the existing architecture of the Cross Identity platform, including components, modules, and data flows. Support the design and development of scalable, secure backend services for both on-premise and cloud deployments. Integrate AI tools and APIs to improve automation, analysis, and user experience within the platform. Work with Product Owners to understand requirements and contribute to feature planning and implementation. Write clean, maintainable, and well-documented Java code following industry best practices. Conduct unit testing, support system testing, and participate in code reviews. Troubleshoot technical issues and contribute to performance tuning and optimization. Collaborate closely with senior engineers, QA, and DevOps teams for seamless delivery. Stay updated on the latest AI tools and technologies relevant to software development. Technical Skill Set Proficiency in Core Java, Spring Boot, JPA/Hibernate, REST APIs Strong understanding of OOP concepts, design patterns, and multithreading Experience with microservices, database integrations (MySQL), and deployment on Linux/Windows environments Familiarity with Spring Security, JWT, OAuth/OIDC Experience using Git, CI/CD tools (GitLab, Jenkins), Maven, and Docker Exposure to cloud platforms such as AWS or Heroku is a plus Understanding of Agile development practices, unit testing, and basic architecture concepts AI Tools Exposure Experience or familiarity with integrating external AI services such as: OpenAI, Azure Cognitive Services, AWS AI tools, Hugging Face APIs Ability to implement AI-enhanced features like summarization, auto-tagging, or pattern recognition Understanding of prompt engineering and working with third-party AI APIs Bonus: exposure to AI-assisted coding platforms or low-code AI tools Soft Skills Good problem-solving and analytical skills Strong communication and collaboration abilities Self-driven, eager to learn, and comfortable in a fast-paced environment Willingness to take ownership and contribute proactively to team success Qualifications Bachelor’s degree in Computer Science, Engineering, or related field 3-4 years of experience in Java-based application development Exposure to AI tools and APIs in a development context Java Certification is a plus Show more Show less