434 Summarization Jobs

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: Associate Data Scientist Experience: 0–2 Years Job Type: Full-time We are seeking a highly skilled and motivated Associate 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 Assist in data cleaning, preprocessing, and exploratory data analysis. Work with senior team members on machine learning model development. Support the implementation of GenAI features like text summarization and embeddings. Perform evaluation of model results using standard metrics. Required Skills Proficiency in Python and basic ML libraries (Scikit-learn, Pandas, NumPy). Familiarity with NLP techniques and LLM APIs. Basic understanding of cloud platforms (AWS/GCP/Azure). 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 us: https://evgateway.com/ Job Summary: EvGateway is seeking a sharp and organized RFP & Government Bid Analyst to support our business development efforts by identifying and evaluating public-sector opportunities related to EV infrastructure. This role focuses on sourcing, reading, and breaking down government RFPs, RFIs, and RFQs to determine alignment with EvGateway's services and passing qualified opportunities to the proposal development team. Key Responsibilities: Opportunity Identification: Monitor public procurement portals (federal, state, municipal) for new EV charging-related bids and opportunities. Set up alerts and filters to track relevant RFPs across various platforms (e.g., SAM.gov, PlanetBids, BidNet, state portals). Bid Analysis & Summary: Review each RFP or bid document and extract key information such as scope of work, eligibility criteria, submission requirements, deadlines, and evaluation criteria. Summarize findings into digestible internal briefs or checklists for the proposal team. Flag any potential red flags or non-alignment with EvGateway's products/services. Internal Coordination: Communicate regularly with the sales, technical, and compliance teams to ensure RFPs are qualified before time is invested in response. Maintain a shared tracker or CRM of all bids under consideration with statuses and deadlines. Market & Policy Awareness: Stay informed on funding trends, federal/state EV infrastructure programs, and regulatory requirements that impact RFPs (e.g., NEVI, Buy America, ADA). Qualifications: 1–3 years of experience in government procurement analysis, grant/RFP tracking, or public sector sales support. Strong attention to detail and ability to interpret complex bid documents. Familiarity with public procurement processes and EV infrastructure funding is a plus. Excellent written communication and summarization skills. Proficiency in Excel, Google Sheets, and bid tracking tools or portals. Job Types: Full-time, Part-time, Permanent Pay: ₹35,000.00 - ₹40,000.00 per month Benefits: Flexible schedule Paid sick time Paid time off Provident Fund Work from home Schedule: Monday to Friday Application Question(s): Please answer the following questions: 1. Your expected salary for part time & full time work, 2. When can you start 3. Have you worked on US government bids. If yes, how many years? Work Location: In person

Job Title: NLP Engineer Job Description Job Title: NLP Engineer (Applied AI & Agentic Systems) About Us We’re building the next generation of AI-powered agentic systems — intelligent bots, assistants, and custom AI agents that integrate with APIs, databases, and business logic to drive real value. Our platforms focuses on practical, scalable AI applications rather than pure research — and we’re looking for NLP engineers who can help us push the boundaries. What You’ll Do Build and fine-tune LLM-powered agents and assistants using cutting-edge NLP techniques. Design and implement workflows that combine natural language processing with API calls, database queries, and business logic. Evaluate and apply the right LLMs (OpenAI, Claude, Mistral, etc.) and fine-tune when necessary. Collaborate with cross-functional teams to understand product needs and shape AI-based solutions. Help teams integrate AI into their projects by providing technical guidance and best practices. Develop prompt engineering strategies and reusable agent components. Stay up to date with the latest trends in NLP, LLMs, RAG (Retrieval-Augmented Generation), and agentic frameworks like LangChain, AutoGen, etc. Participate actively in Agile/Scrum processes — sprint planning, standups, retrospectives, and continuous delivery. Be a strong team player — communicative, proactive, and focused on shared success. What We’re Looking For Bachelor’s or Master’s degree in Computer Science, Linguistics, Data Science, AI or a related field. 2+ years of hands-on experience working with NLP or LLMs in a production or applied research setting Solid understanding of NLP concepts — embeddings, tokenization, entity recognition, summarization, etc. Experience with modern LLMs and foundational models (OpenAI, Hugging Face, etc.). Familiarity with agentic frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI or similar). Comfortable integrating with REST APIs, SQL/NoSQL databases, and basic backend logic. Experience with prompt engineering and chaining LLM calls into workflows. Strong problem-solving skills and the ability to architect solutions without excessive boilerplate code. Bonus: Experience with vector databases (e.g., Pinecone, Weaviate), RAG pipelines, or fine-tuning models. Nice to Have Knowledge of Python and working with AI SDKs. Qualifications: Bachelor’s or Master’s degree in Computer Science, Linguistics, Data Science, or a related field. 2/3+ years of experience in natural language processing or a related field. Proficiency in programming languages such as .NET or Python, with experience in NLP libraries. Experience with text preprocessing techniques and tools. Familiarity with cloud platforms and services for deploying/configuring the Gen AI Bot . Excellent problem-solving skills and attention to detail. Strong communication skills and the ability to work collaboratively in a team environment. Location: IND Gurgaon - Bld 14 IT SEZ (GST) Language Requirements: Time Type: Full time If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents

Senior Executive EXL/SE/1403875 LegalNoida Posted On 25 Jun 2025 End Date 09 Aug 2025 Required Experience 3 - 6 Years Basic Section Number Of Positions 1 Band A2 Band Name Senior Executive Cost Code G060101 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type Backfill Max CTC 450000.0000 - 700000.0000 Complexity Level Not Applicable Work Type Work From Office – Fully Working From EXL/ Client Offices Organisational Group Enabling Sub Group Legal Organization Legal LOB Legal SBU Legal Country India City Noida Center Noida - Centre 59 Skills Skill CONTRACT MANAGEMENT Minimum Qualification LLB Certification No data available Job Description Basic Function Contract Manage Essential Functions Contract Lifecycle Management (CLM) Perform organizational contract development and management Ensure contracts and proposals are properly entered into organizational database Ensure accuracy and appropriateness of contract text and attachments Review contractual performance of both parties to ensure compliance with terms Contribute in contract strategy meetings to identify issues and client requirements Develop standards for contracts Take ownership of project and run with them to completion Adhere to timelines and deliverables Identify, categorize, abstract and capture key information in the specified format Review different agreements for adherence to defined contract management position Administration of contract databases/repositories using contract management software or tools Participate in various domain & skill-enhancing trainings and development sessions Build and maintain effective relationships across various levels in different departments Participate in various trainings for overall professional development Ensure compliance with internal policies and procedures, external regulations and information security standards Skills Technical Skills Excellent understanding of contract management and good understanding of procurement concepts Strong analytical skills Excellent oral and writing skills Process Specific Skills Good exposure to contract management Experienced in drafting, summarization, synopsis creation, proof reading of documents Thorough understanding of contract terms and conditions from a meaning and implication standpoint Proficient in using desktop computer system, especially Microsoft Office package Soft skills (Desired) Proficient in legal knowledge and its application Eye for detail Proficient in English communication skills – written and spoken Expertise in MS Word, Excel, Power-point and good keyboarding speed Proficient in using the internet, web browsers, and search engines Experienced in creating process DTPs/SOPs Capable of working independently with least or no supervision Proficient in fostering a spirit of collaboration and team work Proficient in operational planning and process management Experienced in documentation and conformance with policies/compliances, including audit requirements Workflow Workflow Type L&S-DA-Consulting

Key Responsibility Lead the fine-tuning and domain adaptation of open-source LLMs (e.g., LLaMA 3) using frameworks like vLLM, HuggingFace, DeepSpeed, and PEFT techniques. Develop data pipelines to ingest, clean, and structure cybersecurity data, including threat intelligence reports, CVEs, exploits, malware analysis, and configuration files. Collaborate with cybersecurity analysts to build taxonomy and structured knowledge representations to embed into LLMs. Drive the design and execution of evaluation frameworks specific to cybersecurity tasks (e.g., classification, summarization, anomaly detection). Own the lifecycle of model development including training, inference optimization, testing, and deployment. Provide technical leadership and mentorship to a team of ML engineers and researchers. Stay current with advances in LLM architectures, cybersecurity datasets, and AI-based threat detection. Advocate for ethical AI use and model robustness, especially given the sensitive nature of cybersecurity data Requirements Required Skills: 5+ years of experience in machine learning, with at least 2 years focused on LLM training or fine-tuning. Strong experience with vLLM, HuggingFace Transformers, LoRA/QLoRA, and distributed training techniques. Proven experience working with cybersecurity data—ideally including MITRE ATT&CK, CVE/NVD databases, YARA rules, Snort/Suricata rules, STIX/TAXII, or malware datasets. Proficiency in Python, ML libraries (PyTorch, Transformers), and MLOps practices. Familiarity with prompt engineering, RAG (Retrieval-Augmented Generation), and vector stores like FAISS or Weaviate. Demonstrated ability to lead projects and collaborate across interdisciplinary teams. Excellent problem-solving skills and strong written & verbal communication. Nice to Have Experience deploying models via vLLM in production environments with FastAPI or similar APIs. Knowledge of cloud-based ML training (AWS/GCP/Azure) and GPU infrastructure. Background in reverse engineering, malware analysis, red teaming, or threat hunting. Publications, open-source contributions, or technical blogs in the intersection of AI and cybersecurity.

AI/ML ENGINEER Who We Are? Cleantech Industry Resources accelerates United States solar, battery storage and EV projects by providing turnkey development as a service including 100% internal systems engineering. The company deploys a leading team that spun out of the largest solar power producer in the world. This team operates within a sophisticated suite of software to support projects from land origination, through to commercial operation. Location Chennai What We Offer Opportunity to join a top-notch, collaborative team of professionals Fantastic team environment and collaborative culture Professional development opportunities to grow into an industry leader Medical Insurance for the employee and family Spot Recognition bonus for exceptional performance Long Term Incentive policy Regular team outings, events, and activities to foster a positive work environment Our Commitment to Diversity At CIR, we are dedicated to nurturing a diverse and equitable workforce that truly reflects our community. We deeply value each person’s unique perspective, skills, and experiences. CIR embraces all individuals, regardless of race, religion, sexual orientation, gender identity, age, or nationality. We are steadfast in our commitment to fostering a just and inclusive world through intentional policies and actions. Your individuality enriches our collective strength, and we strive to ensure everyone feels respected, valued, and empowered. Position Summary We are looking for an AI/ML Engineer to build and optimize machine learning models for GIS-based spatial analysis and data-driven decision-making. This role involves working on geospatial AI models, data pipelines, and Retrieval-Augmented Generation (RAG)-based applications for zoning, county sentiment analysis, and regulatory insights. The engineer will also work closely with the data team, leading efforts in data curation and building robust data pipelines to collect, preprocess, and analyse extensive datasets from various geospatial and regulatory sources to generate automated reports and insights. Core Responsibilities Machine Learning for GIS & Spatial Analysis: Develop and deploy ML models for geospatial data processing, forecasting, and automated GIS insights. Work with large-scale geospatial datasets (e.g., satellite imagery, shapefiles, raster/vector data). Create AI models for land classification, feature detection, and geospatial pattern analysis. Optimize spatial data pipelines and build predictive models for environmental and energy sector applications. Retrieval-Augmented Generation (RAG) & NLP Development: Develop RAG-based AI applications to extract insights from zoning, permitting, and regulatory documents. Build LLM-based applications for zoning law interpretation, county sentiment analysis, and compliance predictions. Implement document retrieval and summarization techniques for legal, policy, and energy development reports. Data Engineering & Pipeline Development: Lead the creation of ETL pipelines to collect and preprocess geospatial data for ML model training. Work with PostGIS, PostgreSQL, and cloud storage to manage structured and unstructured data. Collaborate with the data team to design and implement efficient data processing and storage solutions. AI Model Optimization & Deployment: Fine-tune LLMs for domain-specific applications in renewable energy and urban planning. Deploy AI models using cloud-based MLOps frameworks (AWS, GCP, Azure). Optimize ML model inference for real-time GIS applications and geospatial data analysis. Collaboration & Continuous Improvement: Work with cross-functional teams to ensure seamless AI integration with existing business processes. Engage in knowledge sharing and mentoring within the company. Stay updated with latest advancements in AI, GIS, and NLP to improve existing models and solutions. Education Requirements Master’s in Computer Science, Data Science, Machine Learning, Geostatistics, or related fields. Technical Skills and Experience Software Proficiency: Programming: Python (TensorFlow, PyTorch, scikit-learn, pandas, NumPy), SQL. Machine Learning & AI: Deep learning, NLP, retrieval-based AI, geospatial AI, predictive modeling. GIS & Spatial Data Processing: Experience with PostGIS, GDAL, GeoPandas, QGIS, Google Earth Engine. LLM & RAG Development: Experience in fine-tuning LLMs, retrieval models, vector databases (FAISS, Weaviate). Cloud & MLOps: AWS/GCP/Azure, Docker, Kubernetes, MLflow, FastAPI. Big Data Processing: Experience with large-scale data mining, data annotation, and knowledge graph techniques. Database & Storage: PostgreSQL, NoSQL, vector databases, cloud storage solutions. Communication: Strong ability to explain complex AI/ML concepts to non-technical stakeholders. Project Management: Design experience in projects from conception to implementation. Ability to coordinate with other engineers and stakeholders. Renewable Energy Systems: Understanding of solar energy systems and their integration into existing infrastructure Experience 2-4 years of experience Experience in developing AI for energy sector, urban planning, or environmental analysis. Strong understanding of potential prediction, zoning laws, and regulatory compliance AI applications. Familiarity with spatiotemporal ML models and satellite-based geospatial analytics. Psychosocial Skills /Human Skills/Behavioural Skills Strong analytical, organizational, and problem-solving skills. Management experience a plus. Must be a go-getter with an enterprising attitude A self-starter, able to demonstrate high levels of initiative and motivation Entrepreneurial mindset with the ability to take ideas and run with them from concept to conclusion. Technical understanding of clean energy business processes Exceptional verbal and writing communication skills with superiors, peers, partners, and other stakeholders. Excellent interpersonal skills while managing multiple priorities in a fast-paced and ever-changing environment. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The physical demands of this job require an individual to be able to work at a computer for most of the day, be able to participate in conference calls and travel to team retreats on a time-to-time basis. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work Conditions The work environment is usually quiet (normal city traffic noises are common), a blend of artificial and natural light, temperate and generally supports a collaborative work environment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Equal Opportunity Employer At Cleantech Industry Resources, we embrace diversity and uphold a strong dedication to establishing an all-encompassing atmosphere for both our staff and associates. Our choices in employment are free from any bias related to race, creed, nationality, ethnicity, gender, sexual orientation, gender identity, gender expression, age, physical limitations, veteran status, or any other legally safeguarded attributes. Being an integral part of Cleantech Industry Resources means you can expect to be immersed in a realm of professional possibilities within a culture that nurtures teamwork, adaptability, and the embracing of all.

Exp – 15 to 23yrs Location : Chennai /Bangalore Primary skill :- GEN AI Architect, Building GEN AI solutions, Coding, AI ML background, Data engineering, Azure or AWS cloud Job Description : The Generative Solutions Architect will be responsible for designing and implementing cutting-edge generative AI models and systems. He / She will collaborate with data scientists, engineers, product managers, and other stakeholders to develop innovative AI solutions for various applications including natural language processing (NLP), computer vision, and multimodal learning. This role requires a deep understanding of AI/ML theory, architecture design, and hands-on expertise with the latest generative models. Key Responsibilities : GenAI application conceptualization and design: Understand the use cases under consideration, conceptualization of the application flow, understanding the constraints and designing accordingly to get the most optimized results. Deep knowledge to work on developing and implementing applications using Retrieval-Augmented Generation (RAG)-based models, which combine the power of large language models (LLMs) with information retrieval techniques. Prompt Engineering: Be adept at prompt engineering and its various nuances like one-shot, few shot, chain of thoughts etc and have hands on knowledge of implementing agentic workflow and be aware of agentic AI concepts NLP and Language Model Integration - Apply advanced NLP techniques to preprocess, analyze, and extract meaningful information from large textual datasets. Integrate and leverage large language models such as LLaMA2/3, Mistral or similar offline LLM models to address project-specific goals. Small LLMs / Tiny LLMs: Familiarity and understanding of usage of SLMs / Tiny LLMs like phi3, OpenELM etc and their performance characteristics and usage requirements and nuances of how they can be consumed by use case applications. Collaboration with Interdisciplinary Teams - Collaborate with cross-functional teams, including linguists, developers, and subject matter experts, to ensure seamless integration of language models into the project workflow. Text / Code Generation and Creative Applications - Explore creative applications of large language models, including text / code generation, summarization, and context-aware responses. Skills & Tools Programming Languages - Proficiency in Python for data analysis, statistical modeling, and machine learning. Machine Learning Libraries - Hands-on experience with machine learning libraries such as scikit-learn, Huggingface, TensorFlow, and PyTorch. Statistical Analysis - Strong understanding of statistical techniques and their application in data analysis. Data Manipulation and Analysis - Expertise in data manipulation and analysis using Pandas and NumPy. Database Technologies - Familiarity with vector databases like ChromaDB, Pinecone etc, SQL and Non-SQL databases and experience working with relational and non-relational databases. Data Visualization Tools - Proficient in data visualization tools such as Tableau, Matplotlib, or Seaborn. Familiarity with cloud platforms (AWS, Google Cloud, Azure) for model deployment and scaling. Communication Skills - Excellent communication skills with the ability to convey technical concepts to non-technical audiences.

Job Description 💰 Compensation Note: The budget for this role is fixed at INR 50–55 lakhs per annum (non-negotiable). Please ensure this aligns with your expectations before applying. 📍 Work Setup: This is a hybrid role , requiring 3 days per week onsite at the office in Hyderabad, India . 📝 Interview Process: The process consists of 6 stages , including a technical assessment, code review, code discussion , and panel interviews . Company Description: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. Job Description : We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making. The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities: Conversational AI & Call Transcription Development Develop and fine-tune automatic speech recognition (ASR) models Implement language model fine-tuning for industry-specific language. Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. NLP & Generative AI Applications Build summarization models to extract key insights from conversations. Implement Named Entity Recognition (NER) to identify key topics. Apply LLMs for conversation analytics and context-aware recommendations. Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. Sentiment Analysis & Decision Support Develop sentiment and intent classification models. Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. AI Deployment & Scalability Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. Implement MLOps workflows to continuously improve model performance with new call data. Qualifications: Technical Skills Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI. Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text. Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers. Experience with LLM fine-tuning, RAG-based architectures, and LangChain. Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval. Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask. Soft Skills Ability to translate AI insights into business impact. Strong problem-solving skills and ability to work in a fast-paced AI-first environment. Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders. Preferred Qualifications Experience in healthcare, pharma, or life sciences NLP use cases. Background in knowledge graphs, prompt engineering, and multimodal AI. Experience with Reinforcement Learning (RLHF) for improving conversation models.

Basic Function Contract Manage Essential Functions Contract Lifecycle Management (CLM) Perform organizational contract development and management Ensure contracts and proposals are properly entered into organizational database Ensure accuracy and appropriateness of contract text and attachments Review contractual performance of both parties to ensure compliance with terms Contribute in contract strategy meetings to identify issues and client requirements Develop standards for contracts Take ownership of project and run with them to completion Adhere to timelines and deliverables Identify, categorize, abstract and capture key information in the specified format Review different agreements for adherence to defined contract management position Administration of contract databases/repositories using contract management software or tools Participate in various domain & skill-enhancing trainings and development sessions Build and maintain effective relationships across various levels in different departments Participate in various trainings for overall professional development Ensure compliance with internal policies and procedures, external regulations and information security standards Skills Technical Skills Excellent understanding of contract management and good understanding of procurement concepts Strong analytical skills Excellent oral and writing skills Process Specific Skills Good exposure to contract management Experienced in drafting, summarization, synopsis creation, proof reading of documents Thorough understanding of contract terms and conditions from a meaning and implication standpoint Proficient in using desktop computer system, especially Microsoft Office package Soft Skills (Desired) Proficient in legal knowledge and its application Eye for detail Proficient in English communication skills – written and spoken Expertise in MS Word, Excel, Power-point and good keyboarding speed Proficient in using the internet, web browsers, and search engines Experienced in creating process DTPs/SOPs Capable of working independently with least or no supervision Proficient in fostering a spirit of collaboration and team work Proficient in operational planning and process management Experienced in documentation and conformance with policies/compliances, including audit requirements

CWX is looking for a dynamic SENIOR AI/ML ENGINEER to become a vital part of our vibrant PROFESSIONAL SERVICES TEAM , working on-site in Hyderabad . Join the energy and be part of the momentum! At CloudWerx, we're looking for a Senior AI/ML Engineer to lead the design, development, and deployment of tailored AI/ML solutions for our clients. In this role, you'll work closely with clients to understand their business challenges and build innovative, scalable, and cost-effective solutions using tools like Google Cloud Platform (GCP), Vertex AI, Python, PyTorch, LangChain, and more. You'll play a key role in translating real-world problems into robust machine learning architectures, with a strong focus on Generative AI, multi-agent systems, and modern MLOps practices. From data preparation and ensuring data integrity to building and optimizing models, you'll be hands-on across the entire ML lifecycle — all while ensuring seamless deployment and scaling using cloud-native infrastructure. Clear communication will be essential as you engage with both technical teams and business stakeholders, making complex AI concepts understandable and actionable. Your deep expertise in model selection, optimization, and deployment will help deliver high-performing solutions tailored to client needs. We're also looking for someone who stays ahead of the curve — someone who's constantly learning and experimenting with the latest developments in generative AI, LLMs, and cloud technologies. Your curiosity and drive will help push the boundaries of what's possible and fuel the success of the solutions we deliver. This is a fantastic opportunity to join a fast-growing, engineering-led cloud consulting company that tackles some of the toughest challenges in the industry. At CloudWerx, every team member brings something unique to the table, and we foster a supportive environment that helps people do their best work. Our goal is simple: to be the best at what we do and help our clients accelerate their businesses through world-class cloud solutions. This role is an immediate full time position. Insight on your impact Conceptualize, Prototype, and Implement AI Solutions: Design and deploy advanced AI solutions using large language models (LLMs), diffusion models, and multimodal AI systems by leveraging Google Cloud tools such as Vertex AI, AutoML, and AI Platform (Agent Builder). Implement Retrieval-Augmented Generation (RAG) pipelines for chatbots and assistants, and create domain-specific transformers for NLP, vision, and cross-modal applications. Utilize Document AI, Translation AI, and Vision AI to develop full-stack, multimodal enterprise applications. Technical Expertise: models via LoRA, QLoRA, RLHF, and Dreambooth. Build multi-agent systems using Agent Development Kit (ADK), Agent-to-Agent (A2A) Protocol, and Model Context Protocol (MCP). Provide thought leadership on best practices, architecture patterns, and technical decisions across LLMs, generative AI, and custom ML pipelines, tailored to each client's unique business needs. Stakeholder Communication: Effectively communicate complex AI/ML concepts, architectures, and solutions to business leaders, technical teams, and non-technical stakeholders. Present project roadmaps, performance metrics, and model validation strategies to C-level executives and guide organizations through AI transformation initiatives. Understand client analytics & modeling needs: Collaborate with clients to extract, analyze, and interpret both internal and external data sources. Design and operationalize data pipelines that support exploratory analysis and model development, enabling business-aligned data insights and AI solutions. Database Management: Work with structured (SQL/BigQuery) and unstructured (NoSQL/Firestore, Cloud Storage) data. Apply best practices in data quality, versioning, and integrity across datasets used for training, evaluation, and deployment of AI/ML models. Cloud Expertise: Architect and deploy cloud-native AI/ML solutions using Google Cloud services including Vertex AI, BigQuery ML, Cloud Functions, Cloud Run, and GKE Autopilot. Provide consulting on GCP service selection, infrastructure scaling, and deployment strategies aligned with client requirements. MLOps & DevOps: Lead the implementation of robust MLOps and LLMOps pipelines using TensorFlow Extended (TFX), Kubeflow, and Vertex AI Pipelines. Set up CI/CD workflows using Cloud Build and Artifact Registry, and deploy scalable inference endpoints through Cloud Run and Agent Engine. Establish automated retraining, drift detection, and monitoring strategies for production ML systems. Prompt Engineering and fine tuning: Apply advanced prompt engineering strategies (e.g., few-shot, in-context learning) to optimize LLM outputs. Fine-tune models using state-of-the-art techniques including LoRA, QLoRA, Dreambooth, ControlNet, and RLHF to enhance instruction-following and domain specificity of generative models. LLMs, Chatbots & Text Processing: Develop enterprise-grade chatbots and conversational agents using Retrieval-Augmented Generation (RAG), powered by both open-source and commercial LLMs. Build state-of-the-art generative solutions for tasks such as intelligent document understanding, summarization, and sentiment analysis. Implement LLMOps workflows for lifecycle management of large-scale language applications. Consistently Model and Promote Engineering Best Practices: Promote a culture of technical excellence by adhering to software engineering best practices including version control, reproducibility, structured documentation, Agile retrospectives, and continuous integration. Mentor junior engineers and establish guidelines for scalable, maintainable AI/ML development. Our Diversity and Inclusion Commitment At CloudWerx, we are dedicated to creating a workplace that values and celebrates diversity. We believe that a diverse and inclusive environment fosters innovation, collaboration, and mutual respect. We are committed to providing equal employment opportunities for all individuals, regardless of background, and actively promote diversity across all levels of our organization. We welcome all walks of life, as we are committed to building a team that embraces and mirrors a wide range of perspectives and identities. Join us in our journey toward a more inclusive and equitable workplace. Background Check Requirement All candidates for employment will be subject to pre-employment background screening for this position. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process, please reach out to us directly. Our Story CloudWerx is an engineering-focused cloud consulting firm born in Silicon Valley - in the heart of hyper-scale and innovative technology. In a cloud environment we help businesses looking to architect, migrate, optimize, secure or cut costs. Our team has unique experience working in some of the most complex cloud environments at scale and can help businesses accelerate with confidence.

Title: Machine Learning Engineer Primary Location: Hyderabad/Trivandrum(Onsite) Job Type: Contract Secondary Location: Any Infosys Office Location In this position you will: • Design and implement NLP pipelines for document analysis and artifact generation. • Perform data cleaning and transformation on unstructured text using industry-standard techniques. • Develop embeddings and semantic search pipelines using OpenAI, HuggingFace, or custom models. • Integrate vectorized data with retrieval systems such as MongoDB Vector, FAISS or Pinecone. • Fine-tune and evaluate LLMs for use cases like test case generation, user story summarization, etc. • Monitor model performance and conduct regular evaluations with precision/recall/F1/BLEU. • Collaborate with backend developers to expose ML outputs via APIs. • Participate in architectural design and PoCs for GenAI-based solutions. • Adhere to and implement Responsible AI principles in all ML workflows. • Work closely with product owners and testers to ensure the quality and usability of generated outputs. Required Qualifications: • 5+ years of experience in in data science and AI/ML engineering with strong proficiency in Python and applied NLP • Deep expertise in NLP techniques including: Text classification, Named Entity Recognition (NER), Summarization, Sentiment analysis, Topic modeling • Strong experience in data preprocessing and cleaning :Tokenization, stop-word removal, stemming/lemmatization, normalization. • Strong Experience in vectorization methods: TF-IDF, Word2Vec, GloVe, BERT, Sentence Transformers. Demonstration experience of vectorization and implement solutions to contextual search is must • Hands on Experience in implementing Lang Chain, RAG architecture, and multi-agent orchestration, Agentic AI, scikit learn, python is must • Hands-on with embedding models (e.g., OpenAI, Hugging Face Transformers) and chunking strategies • Experience with vector stores: MongoDB atlas Vector DB, FAISS, Pinecone, Chroma DB. • Skilled in building and fine-tuning LLMs and prompt engineering is must • Experience with MLOps frameworks for model lifecycle, versioning, deployment, and monitoring. • Strong knowledge of LLMOps, NumPy, PySpark for data wrangling. • Experience deploying models on Azure (preferred), AWS, or GCP. • Understanding of Responsible AI practices including model fairness, transparency, and auditability. • Strong knowledge of machine learning frameworks, deep learning architectures, natural language processing and generative models (e.g., GANs, transformers). Preferred Qualifications: • 3 + years of experience building, scaling, and optimizing training and inferencing systems for deep neural networks and/or transformer architectures. • Demonstrated ability in research and development teams with a focus on generative AI technologies and suggesting new ideas or opportunities. • Experience in managing production scale pre training models (private or public cloud) or setting up GPU clusters for In house LLM deployments • Familiarity with AI Governance, ethics, compliance, and regulatory considerations. Education: • Bachelor’s degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline. • Master’s degree or PhD preferred. Thanks Aatmesh aatmesh.singh@ampstek.com

Hi, Hope you are doing well. Please do let me know if you are interested and looking for a job change at this moment. find the detailed job description, and it will be really appreciated if you can share with me your updated resume and best number to reach. ML Engineer Hyderabad/Trivandrum-Onsite Contract Position Summary: We are seeking a dynamic Senior Machine Learning Engineer focused on advancing our generative AI capabilities. You will contribute to building scalable AI systems that impact real world Enterprise applications, while promoting responsible AI practices and collaborating across teams to accelerate innovation. In this position you will: • Design and implement NLP pipelines for document analysis and artifact generation. • Perform data cleaning and transformation on unstructured text using industry-standard techniques. • Develop embeddings and semantic search pipelines using OpenAI, HuggingFace, or custom models. • Integrate vectorized data with retrieval systems such as MongoDB Vector, FAISS or Pinecone. • Fine-tune and evaluate LLMs for use cases like test case generation, user story summarization, etc. • Monitor model performance and conduct regular evaluations with precision/recall/F1/BLEU. • Collaborate with backend developers to expose ML outputs via APIs. • Participate in architectural design and PoCs for GenAI-based solutions. • Adhere to and implement Responsible AI principles in all ML workflows. • Work closely with product owners and testers to ensure the quality and usability of generated outputs. Required Qualifications: • 5+ years of experience in in data science and AI/ML engineering with strong proficiency in Python and applied NLP • Deep expertise in NLP techniques including: Text classification, Named Entity Recognition (NER), Summarization, Sentiment analysis, Topic modeling • Strong experience in data preprocessing and cleaning :Tokenization, stop-word removal, stemming/lemmatization, normalization. • Strong Experience in vectorization methods: TF-IDF, Word2Vec, GloVe, BERT, Sentence Transformers. Demonstration experience of vectorization and implement solutions to contextual search is must • Hands on Experience in implementing Lang Chain, RAG architecture, and multi-agent orchestration, Agentic AI, scikit learn, python is must • Hands-on with embedding models (e.g., OpenAI, Hugging Face Transformers) and chunking strategies • Experience with vector stores: MongoDB atlas Vector DB, FAISS, Pinecone, Chroma DB. • Skilled in building and fine-tuning LLMs and prompt engineering is must • Experience with MLOps frameworks for model lifecycle, versioning, deployment, and monitoring. • Strong knowledge of LLMOps, NumPy, PySpark for data wrangling. • Experience deploying models on Azure (preferred), AWS, or GCP. • Understanding of Responsible AI practices including model fairness, transparency, and auditability. • Strong knowledge of machine learning frameworks, deep learning architectures, natural language processing and generative models (e.g., GANs, transformers). Preferred Qualifications: • 3 + years of experience building, scaling, and optimizing training and inferencing systems for deep neural networks and/or transformer architectures. • Demonstrated ability in research and development teams with a focus on generative AI technologies and suggesting new ideas or opportunities. • Experience in managing production scale pre training models (private or public cloud) or setting up GPU clusters for In house LLM deployments • Familiarity with AI Governance, ethics, compliance, and regulatory considerations. Education: • Bachelor’s degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline. • Master’s degree or PhD preferred. Thanks, and Regards Snehil Mishra snehil@ ampstek.com linkedin.com/in/snehil-mishra-1104b2154 Desk-6093602673Extension-125 www.ampstek.com https://www.linkedin.com/company/ampstek/jobs/ Ampstek – Global IT Partner Registered Offices: North America and LATM: USA|Canada|Costa Rica|Mexico Europe:UK|Germany|France|Sweden|Denmark|Austria|Belgium|Netherlands|Romania|Poland|Czeh Republic|Bulgaria|Hungary|Ireland|Norway|Croatia|Slovakia|Portugal|Spain|Italy|Switzerland|Malta| Portugal APAC:Australia|NZ|Singapore|Malaysia|South Korea|Hong Kong|Taiwan|Phillipines|Vietnam|Srilanka|India MEA :South Africa|UAE|Turkey|Egypt

Job Title: NLP Engineer Job Description Job Title: NLP Engineer (Applied AI & Agentic Systems) About Us We’re building the next generation of AI-powered agentic systems — intelligent bots, assistants, and custom AI agents that integrate with APIs, databases, and business logic to drive real value. Our platforms focuses on practical, scalable AI applications rather than pure research — and we’re looking for NLP engineers who can help us push the boundaries. What You’ll Do Build and fine-tune LLM-powered agents and assistants using cutting-edge NLP techniques. Design and implement workflows that combine natural language processing with API calls, database queries, and business logic. Evaluate and apply the right LLMs (OpenAI, Claude, Mistral, etc.) and fine-tune when necessary. Collaborate with cross-functional teams to understand product needs and shape AI-based solutions. Help teams integrate AI into their projects by providing technical guidance and best practices. Develop prompt engineering strategies and reusable agent components. Stay up to date with the latest trends in NLP, LLMs, RAG (Retrieval-Augmented Generation), and agentic frameworks like LangChain, AutoGen, etc. Participate actively in Agile/Scrum processes — sprint planning, standups, retrospectives, and continuous delivery. Be a strong team player — communicative, proactive, and focused on shared success. What We’re Looking For Bachelor’s or Master’s degree in Computer Science, Linguistics, Data Science, AI or a related field. 2+ years of hands-on experience working with NLP or LLMs in a production or applied research setting Solid understanding of NLP concepts — embeddings, tokenization, entity recognition, summarization, etc. Experience with modern LLMs and foundational models (OpenAI, Hugging Face, etc.). Familiarity with agentic frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI or similar). Comfortable integrating with REST APIs, SQL/NoSQL databases, and basic backend logic. Experience with prompt engineering and chaining LLM calls into workflows. Strong problem-solving skills and the ability to architect solutions without excessive boilerplate code. Bonus: Experience with vector databases (e.g., Pinecone, Weaviate), RAG pipelines, or fine-tuning models. Nice to Have Knowledge of Python and working with AI SDKs. Qualifications: Bachelor’s or Master’s degree in Computer Science, Linguistics, Data Science, or a related field. 2/3+ years of experience in natural language processing or a related field. Proficiency in programming languages such as .NET or Python, with experience in NLP libraries. Experience with text preprocessing techniques and tools. Familiarity with cloud platforms and services for deploying/configuring the Gen AI Bot . Excellent problem-solving skills and attention to detail. Strong communication skills and the ability to work collaboratively in a team environment. Location: IND Gurgaon - Bld 14 IT SEZ (GST) Language Requirements: Time Type: Full time If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents R1627766

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description About the Team The Finance Analytics & Insights (FA&I) team is transforming how Finance operates by embedding AI/ML into the core of our decision-making processes. We are building intelligent, scalable data products that power use cases across forecasting, anomaly detection, case summarization, and agentic automation. Our global team includes data product managers, analysts, and engineers who are passionate about delivering measurable business value. Role Overview We are seeking a highly motivated and analytically strong ML Engineer to join our India-based team. This role will support the development and scaling of AI/ML-powered data products that drive strategic insights across Finance. As an IC3-level individual contributor, you will work closely with the Data Product Manager and Insights Analyst to build AI/ML solutions that deliver measurable business value. Key Responsibilities Design, build, and deploy machine learning models that support use cases such as: Forecasting Anomaly detection Case summarization Agentic AI assistants Partner with the Insights Analyst to perform feature engineering, exploratory data analysis, and hypothesis testing Build and iterate on proof-of-concepts (POCs) to validate model design and demonstrate business value Collaborate with the Data Product Manager to align model development with product strategy and business outcomes Own and manage the Databricks instance for the FA&I team—partnering with the DT Data & Analytics team to define a roadmap of capabilities, test and validate new features, and ensure the platform supports scalable ML development and deployment Ensure models are production-ready, scalable, and maintainable—working closely with DT and D&A teams to integrate into enterprise platforms Monitor model performance, implement feedback loops, and retrain models as needed Contribute to agile product development processes including sprint planning, backlog grooming, and user story creation Qualifications Required Skills & Experience 3–5 years of experience in machine learning engineering, data science, or applied AI roles Strong proficiency in Python and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) Solid understanding of feature engineering, model evaluation, and MLOps practices Experience working with large datasets using SQL and Snowflake Familiarity with Databricks for model development and orchestration Experience with CI/CD pipelines, version control (Git), and ML workflow tools Ability to translate business problems into ML solutions and communicate technical concepts to non-technical stakeholders Experience working in agile teams and collaborating with product managers, analysts, and engineers Preferred Qualifications Experience working in or supporting Finance or Accounting teams Prior experience deploying models in production environments and integrating with enterprise systems Familiarity with GenAI, prompt engineering, or LLM-based applications is a plus Experience with MLflow, Azure ML, or similar platforms Comfort with async collaboration tools and practices, including Teams, recorded video demos, and documentation-first communication Experience working in a global, cross-functional environment with stakeholders across time zones Key Behaviors & Mindsets Builder’s Mentality: You love turning ideas into working models and iterating quickly to improve them. Collaborative Engineer: You work closely with analysts and product managers to co-create solutions that solve real business problems. Customer-Centric: You care deeply about the end user and build models that are interpretable, actionable, and aligned with business needs. Bias for Action: You move fast, test often, and focus on delivering value—not just code. Global Mindset: You thrive in a distributed team and proactively align to US morning hours (PST overlap) to keep momentum across geographies. Async-First Communicator: You’re comfortable working in a hybrid async environment—leveraging Teams, recorded demos, and documentation to keep work moving forward. Growth-Oriented: You’re always learning—whether it’s a new algorithm, tool, or business domain—and you help others grow too. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Assistant Manager EXL/AM/1388591 Insurance Platform ServicesNoida Posted On 24 Jun 2025 End Date 08 Aug 2025 Required Experience 4 - 6 Years Basic Section Number Of Positions 1 Band B1 Band Name Assistant Manager Cost Code D006945 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 500000.0000 - 700000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group Insurance Sub Group Insurance Organization Insurance Platform Services LOB Legal Support Outsourcing SBU Legal Support Outsourcing Country India City Noida Center Noida-SEZ BPO Solutions Skills Skill LEGAL ASSISTANCE Minimum Qualification LLB Certification No data available Job Description Litigation Support Providing 1st level support on client projects along with quality review, if required, including Extraction & compilation of data from client tool, sorting, indexing and creation of a readily accessible database of documents and database management Managing case/litigation related documentation by organizing the data in a chronological order, listing cited case law, highlighting relevant statutory law, preparing summary of facts, statements and exhibits, proof reading, etc. Receive and analyze incoming legal service requests. Classify matters by type, urgency, and complexity. Assign cases to appropriate legal teams or escalate as necessary. Monitor case intake queues and ensure timely processing. Maintain records of triaged matters in a case management system. Communicate with internal clients or stakeholders to clarify requests. Ensure compliance with internal protocols and legal procedures. e-discovery document review for responsiveness, privilege, confidentiality and redactions. Performance parameters People/ Process /Client Management Performance Management Shrinkage Process Improvement Technical Skills Ø Good understanding of law and legal concepts Ø Strong legal analytical skills Ø Excellent legal writing skills Ø Knowledge of MS-Office Ø Excellent telephone and communications skills is an added advantage Process Specific Skills Ø Exposure to litigation and legal documentation Ø Drafting, summarization, synopsis creation, proof reading of legal documents Ø Awareness of processes like e-discovery & document review Ø Exposure to or knowledge of document review tools like Concordance, i-CONECT, Zantaz Introspect, Attenex, Kroll Ontrack, Ringtail, Summation, etc. Ø Ability to effectively work using desktop computer system, especially Microsoft Office. Soft skills (Desired) Ø Proficient in legal knowledge and its application Ø Eye for detail Ø Basic understanding of US legal system Ø Excellent English communication skills – written and spoken Ø Good knowledge of MS Word, Excel, Power-point and good keyboarding speed Ø Basic knowledge of using the internet, web browsers, and search engines Ø Proficient in working independently Ø Competent in fostering a spirit of collaboration and team work Ø Competent in documentation and conformance with policies/compliances, including audit requirements. Soft Skills (Minimum) Ø Basic understanding of law Ø Good English communication skills Ø Spirit of collaboration and team work Ø Meeting documentation requirements Ø Trainability Ø Ability to work independently Workflow Workflow Type Back Office

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Lead Consultant, AI ML Lead! In this role, we are looking for candidates who have relevant years of experience in Text Mining. The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer’s business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools. Responsibilities Develop transformative AI/ML solutions to address our clients' business requirements and challenges Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning Manage Stakeholder/Customer Expectations Project Blue Printing and Project Documentation Creating Project Plan Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc. Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap. Work with digital development teams to integrate and transform these algorithms into production quality applications Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers Qualifications we seek in you! Minimum Qualifications / Skills MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms. Post-Graduation in MBA and Undergraduate degree in any engineering discipline, preferably Computer Science with relevant experience Full cycle experience desirable in atleast 1 Large Scale Text Mining/NLP project from creating a Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework Technology Open Source Text Mining paradigms such as NLTK, OpenNLP, OpenCalais , StanfordNLP, GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow, MS LUIS Exposure to Statistical Toolkits such as R, Weka, S -Plus, Matlab, SAS-Text Miner Strong Core Java experience in large scale product development and functional knowledge of RDBMs Hands on to programing in the Hadoop ecosystem, and concepts in distributed computing Very good python/R programming skills. Java programming skills a plus Methodology Relevant years of experience in Solutioning & Consulting experience in verticals such as BFSI, CPG, with hands on delivering text analytics on large structured and unstructured data A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization, etc Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client’s analytics agenda with newer tools and techniques Preferred Qualifications/ Skills Technology Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods OpenNLP , OpenCalais, StanfordNLP , GATE, UIMA, Lucene, NoSQL UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3 Linux, Windows, GPU Experience Spark, Scala for distributed computing Deep learning frameworks such as TensorFlow, Keras , Torch, Theano Methodology Social Network modeling paradigms, tools & techniques Text Analytics using Natural Language Processing tools such as Support Vector Machines and Social Network Analysis Previous experience with Text analytics implementations, using open source packages and or SAS-Text Miner Ability to Prioritize, Consultative mindset & Time management skills Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Lead Consultant Primary Location India-Kolkata Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jun 25, 2025, 4:50:00 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

CWX is looking for a dynamic SENIOR AI/ML ENGINEER to become a vital part of our vibrant PROFESSIONAL SERVICES TEAM , working on-site in Hyderabad . Join the energy and be part of the momentum! At CloudWerx, we're looking for a Senior AI/ML Engineer to lead the design, development, and deployment of tailored AI/ML solutions for our clients. In this role, you’ll work closely with clients to understand their business challenges and build innovative, scalable, and cost-effective solutions using tools like Google Cloud Platform (GCP), Vertex AI, Python, PyTorch, LangChain, and more. You’ll play a key role in translating real-world problems into robust machine learning architectures, with a strong focus on Generative AI, multi-agent systems, and modern MLOps practices. From data preparation and ensuring data integrity to building and optimizing models, you’ll be hands-on across the entire ML lifecycle — all while ensuring seamless deployment and scaling using cloud-native infrastructure. Clear communication will be essential as you engage with both technical teams and business stakeholders, making complex AI concepts understandable and actionable. Your deep expertise in model selection, optimization, and deployment will help deliver high-performing solutions tailored to client needs. We’re also looking for someone who stays ahead of the curve — someone who’s constantly learning and experimenting with the latest developments in generative AI, LLMs, and cloud technologies. Your curiosity and drive will help push the boundaries of what's possible and fuel the success of the solutions we deliver. This is a fantastic opportunity to join a fast-growing, engineering-led cloud consulting company that tackles some of the toughest challenges in the industry. At CloudWerx, every team member brings something unique to the table, and we foster a supportive environment that helps people do their best work. Our goal is simple: to be the best at what we do and help our clients accelerate their businesses through world-class cloud solutions. This role is an immediate full time position. Insight on your impact Conceptualize, Prototype, and Implement AI Solutions: Design and deploy advanced AI solutions using large language models (LLMs), diffusion models, and multimodal AI systems by leveraging Google Cloud tools such as Vertex AI, AutoML, and AI Platform (Agent Builder). Implement Retrieval-Augmented Generation (RAG) pipelines for chatbots and assistants, and create domain-specific transformers for NLP, vision, and cross-modal applications. Utilize Document AI, Translation AI, and Vision AI to develop full-stack, multimodal enterprise applications. Technical Expertise: models via LoRA, QLoRA, RLHF, and Dreambooth. Build multi-agent systems using Agent Development Kit (ADK), Agent-to-Agent (A2A) Protocol, and Model Context Protocol (MCP). Provide thought leadership on best practices, architecture patterns, and technical decisions across LLMs, generative AI, and custom ML pipelines, tailored to each client’s unique business needs. Stakeholder Communication: Effectively communicate complex AI/ML concepts, architectures, and solutions to business leaders, technical teams, and non-technical stakeholders. Present project roadmaps, performance metrics, and model validation strategies to C-level executives and guide organizations through AI transformation initiatives. Understand client analytics & modeling needs:Collaborate with clients to extract, analyze, and interpret both internal and external data sources. Design and operationalize data pipelines that support exploratory analysis and model development, enabling business-aligned data insights and AI solutions. Database Management: Work with structured (SQL/BigQuery) and unstructured (NoSQL/Firestore, Cloud Storage) data. Apply best practices in data quality, versioning, and integrity across datasets used for training, evaluation, and deployment of AI/ML models. Cloud Expertise: Architect and deploy cloud-native AI/ML solutions using Google Cloud services including Vertex AI, BigQuery ML, Cloud Functions, Cloud Run, and GKE Autopilot. Provide consulting on GCP service selection, infrastructure scaling, and deployment strategies aligned with client requirements. MLOps & DevOps: Lead the implementation of robust MLOps and LLMOps pipelines using TensorFlow Extended (TFX), Kubeflow, and Vertex AI Pipelines. Set up CI/CD workflows using Cloud Build and Artifact Registry, and deploy scalable inference endpoints through Cloud Run and Agent Engine. Establish automated retraining, drift detection, and monitoring strategies for production ML systems. Prompt Engineering and fine tuning: Apply advanced prompt engineering strategies (e.g., few-shot, in-context learning) to optimize LLM outputs. Fine-tune models using state-of-the-art techniques including LoRA, QLoRA, Dreambooth, ControlNet, and RLHF to enhance instruction-following and domain specificity of generative models. LLMs, Chatbots & Text Processing:Develop enterprise-grade chatbots and conversational agents using Retrieval-Augmented Generation (RAG), powered by both open-source and commercial LLMs. Build state-of-the-art generative solutions for tasks such as intelligent document understanding, summarization, and sentiment analysis. Implement LLMOps workflows for lifecycle management of large-scale language applications. Consistently Model and Promote Engineering Best Practices: Promote a culture of technical excellence by adhering to software engineering best practices including version control, reproducibility, structured documentation, Agile retrospectives, and continuous integration. Mentor junior engineers and establish guidelines for scalable, maintainable AI/ML development. Our Diversity and Inclusion Commitment At CloudWerx, we are dedicated to creating a workplace that values and celebrates diversity. We believe that a diverse and inclusive environment fosters innovation, collaboration, and mutual respect. We are committed to providing equal employment opportunities for all individuals, regardless of background, and actively promote diversity across all levels of our organization. We welcome all walks of life, as we are committed to building a team that embraces and mirrors a wide range of perspectives and identities. Join us in our journey toward a more inclusive and equitable workplace. Background Check Requirement All candidates for employment will be subject to pre-employment background screening for this position. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process, please reach out to us directly. Our Story CloudWerx is an engineering-focused cloud consulting firm born in Silicon Valley - in the heart of hyper-scale and innovative technology. In a cloud environment we help businesses looking to architect, migrate, optimize, secure or cut costs. Our team has unique experience working in some of the most complex cloud environments at scale and can help businesses accelerate with confidence.

Job Description It’s an exciting time to be at Infoblox. Named a Top 25 Cyber Security Company by The Software Report and one of Inc. magazine’s Best Workplaces for 2020, Infoblox is the leader in cloud-first networking and security services. Our solutions empower organizations to take full advantage of the cloud to deliver network experiences that are inherently simple, scalable, and reliable for everyone. Infoblox customers are among the largest enterprises in the world and include 70% of the Fortune 500, and our success depends on bright, energetic, talented people who share a passion for building the next generation of networking technologies—and having fun along the way. We are looking for a Data Engineer II to join our Cloud Engineering team in Pune, India, reporting to the senior manager of Software Engineering. In this role, you will develop platforms and products for Infoblox’s SaaS product line delivering next level networking for our customers. You will work closely with data scientists and product teams to curate and refine data powering our latest cloud products. Come join our growing Cloud Engineering team and help us build world class solutions. You are the ideal candidate if you are passionate about the nexus between data and computer science and driven to figure out how best to represent and summarize data in a way that informs good decisions and drives new products. What you’ll do: Curate large-scale data from a multitude of sources into appropriate sets for research and development for the data scientists, threat analysts, and developers across the company Design, test, and implement storage solutions for various consumers of the data, especially data warehouses like ClickHouse and OpenSearch Design and implement mechanisms to monitor data sources over time for changes using summarization, monitoring, and statistical methods Design, develop, and maintain APIs that enable seamless data integration and retrieval processes for internal and external applications, and ensure these APIs are scalable, secure, and efficient to support high-volume data interactions Leverage computer science algorithms and constructs, including probabilistic data structures, to distill large data into sources of insight and enable future analytics Convert prototypes into production data engineering solutions through disciplined software engineering practices, Spark optimizations, and modern deployment pipelines Collaborate on design, implementation, and deployment of applications with the rest of Software Engineering Support data scientists and Product teams in building, debugging, and deploying Spark applications that best leverage data Build and maintain tools for automation, deployment, monitoring, and operations Create test plans, test cases, and run tests with automated tools What you’ll bring: 5+ years of experience in software development with programming languages such as Golang, C, C++, C#, or Java Expertise in Big Data, including MapReduce, Spark Streaming, Kafka, Pub-Sub, and In-memory Database Experience with NoSQL databases such as OpenSearch/Clickhouse Good exposure in application performance tuning, memory management, and scalability Ability to design highly scalable distributed systems using different open-source technologies Experience in microservices development and container-based software using Docker/Kubernetes and other container technologies is a plus Experience with AWS, GCP, or Azure is a plus Experience building high-performance algorithms Bachelor’s degree in computer science, computer engineering, or electrical engineering is required, master’s degree preferred What success looks like: After six months, you will… Complete onboarding by demonstrating knowledge of the Data Lake and associated technologies and CI/CD processes by deploying ETL pipelines for curation and warehousing to production Complete rotations on support/duty where you will gain experience with the different systems, tools, and processes in the Data Lake by resolving reported issues Contribute to the team's velocity by participating in Scrum and driving stories to completion After About a Year, You Will… Be an expert on the Data Lake target state architecture and drive Engineering design and grooming sessions for new feature development Apply coding best practices and provide in depth-reviews on the team’s pull requests Be a thought leader in one or more domains of the Data Lake, driving development and mentoring teammates in this domain We’ve got you covered: Our holistic benefits package includes coverage of your health, wealth, and wellness—as well as a great work environment, employee programs, and company culture. We offer a competitive salary and benefits package, including a Provident Fund with company matches and generous paid time off to help you balance your life. We have a strong culture and live our values every day—we believe in transparency, curiosity, respect, and above all, having fun while delighting our customers. Speaking of a great work environment, here are just a few of the perks you may enjoy depending on your location… Delicious and healthy snacks and beverages Electric vehicle charging stations A courtyard and amenities like an onsite gym, table tennis, pool table, play area, etc. Newly remodeled offices with state-of-the-art amenities Why Infoblox? We’ve created a culture that embraces diversity, equity, and inclusion and rewards innovation, curiosity, and creativity. We achieve remarkable results by working together in a supportive environment that focuses on continuous learning and embraces change. So, whether you’re a software engineer, marketing manager, customer care pro, or product specialist, you belong here, where you will have the opportunity to grow and develop your career. Check out what it’s like to be a Bloxer . We think you’ll be excited to join our team.

Elevate Your Impact Through Innovation and Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4,500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work® in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development and work-life balance. About Innovation and Technology Centre (ITC) Our Innovation and Technology Centre specializes in creating modular solutions to meet clients' specific needs. As a member of the team, you will have the opportunity to develop and implement digital products, platforms, and tools specifically designed for research, analytics, and data management domains. We are at the forefront of technological advancements, and our AI efforts rely on our larger platform called AI for Research and Analytics (AIRA). What you will be doing at Evalueserve • Building and implementing advanced machine learning (ML) and deep learning (DL) algorithms and models. • Applying different natural language processing (NLP) techniques to problems such as text classification, text summarization, questions and answers, information retrieval, knowledge extraction, and design of conversational bots by using traditional and generative AI techniques • Contributing to the design and development of enterprise-grade generative AI applications, including but not limited to advanced RAG, VDB optimization, LLM evaluation, and finetuning. • Designing and developing a practical and analytical approach while maintaining a focus on aspects such as data quality and availability, feasibility, scalability, and turnaround time. What we’re looking for • At least a bachelor’s /master`s degree in computer science, information systems, statistics, mathematics, or a related field • Strong understanding of data science processes, such as data investigation, cleaning, minimal viable models, and nuances related to the deployment and enhancement • About 8-12 years of experience in NLP, ML, and DL • More than one year of experience in generative AI application development at the production level. • Demonstrated ability in developing NLP / ML / DL / generative AI project solutions • Hands-on experience and deep theoretical expertise in NLU, NLP, NLG, and common NLP algorithms and DL architectures such as Transformers, BERT, word2vec, Fast Text, and ELMO • Hands-on experience in building and handling product-level delivery of knowledge graphs, ranking algorithms, recommendation engines, etc. • In-depth knowledge and experience in handling open-source frameworks, such as TensorFlow, PyTorch, and Hugging face Transformers. • Expert-level programming experience in Python / C++ • Familiarity with general software design concepts, product development lifecycles, and ML model deployment best practices. • Experience in analyzing large amounts of user-generated content and process data in large-scale environments by using cloud infrastructure. • Proficiency in scraping data from external sources and developing architectures to store and organize the information for generating insights. • Experience in contributing to open-source software projects. • Experience and tenacity to go beyond available tools / techniques to design solutions in line with product requirements. • Ability to communicate with internal and external stakeholders and convey complex information clearly and concisely. To know more- Follow us on https://www.linkedin.com/company/evalueserve/ Click here to learn more about what our Leaders talking on achievements AI-powered supply chain optimization solution built on Google Cloud How Evalueserve is now Leveraging NVIDIA NIM to enhance our AI and digital transformation solutions and to accelerate AI Capabilities. Know more about how Evalueserve has climbed 16 places on the “50 Best Firms for Data Scientists in 2024”! Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description About the Team The Finance Analytics & Insights (FA&I) team is transforming how Finance operates by embedding AI/ML into the core of our decision-making processes. We are building intelligent, scalable data products that power use cases across forecasting, anomaly detection, case summarization, and agentic automation. Our global team includes data product managers, analysts, and engineers who are passionate about delivering measurable business value. Role Overview We are seeking a highly motivated and analytically strong ML Engineer to join our India-based team. This role will support the development and scaling of AI/ML-powered data products that drive strategic insights across Finance. As an IC3-level individual contributor, you will work closely with the Data Product Manager and Insights Analyst to build AI/ML solutions that deliver measurable business value. 🔍 Key Responsibilities Design, build, and deploy machine learning models that support use cases such as: Forecasting Anomaly detection Case summarization Agentic AI assistants Partner with the Insights Analyst to perform feature engineering, exploratory data analysis, and hypothesis testing Build and iterate on proof-of-concepts (POCs) to validate model design and demonstrate business value Collaborate with the Data Product Manager to align model development with product strategy and business outcomes Own and manage the Databricks instance for the FA&I team—partnering with the DT Data & Analytics team to define a roadmap of capabilities, test and validate new features, and ensure the platform supports scalable ML development and deployment Ensure models are production-ready, scalable, and maintainable—working closely with DT and D&A teams to integrate into enterprise platforms Monitor model performance, implement feedback loops, and retrain models as needed Contribute to agile product development processes including sprint planning, backlog grooming, and user story creation Qualifications 🧠 Required Skills & Experience 3–5 years of experience in machine learning engineering, data science, or applied AI roles Strong proficiency in Python and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) Solid understanding of feature engineering, model evaluation, and MLOps practices Experience working with large datasets using SQL and Snowflake Familiarity with Databricks for model development and orchestration Experience with CI/CD pipelines, version control (Git), and ML workflow tools Ability to translate business problems into ML solutions and communicate technical concepts to non-technical stakeholders Experience working in agile teams and collaborating with product managers, analysts, and engineers ⭐ Preferred Qualifications Experience working in or supporting Finance or Accounting teams Prior experience deploying models in production environments and integrating with enterprise systems Familiarity with GenAI, prompt engineering, or LLM-based applications is a plus Experience with MLflow, Azure ML, or similar platforms Comfort with async collaboration tools and practices, including Teams, recorded video demos, and documentation-first communication Experience working in a global, cross-functional environment with stakeholders across time zones 💡 Key Behaviors & Mindsets Builder’s Mentality: You love turning ideas into working models and iterating quickly to improve them. Collaborative Engineer: You work closely with analysts and product managers to co-create solutions that solve real business problems. Customer-Centric: You care deeply about the end user and build models that are interpretable, actionable, and aligned with business needs. Bias for Action: You move fast, test often, and focus on delivering value—not just code. Global Mindset: You thrive in a distributed team and proactively align to US morning hours (PST overlap) to keep momentum across geographies. Async-First Communicator: You’re comfortable working in a hybrid async environment—leveraging Teams, recorded demos, and documentation to keep work moving forward. Growth-Oriented: You’re always learning—whether it’s a new algorithm, tool, or business domain—and you help others grow too. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Growexx is looking for a smart and passionate Data Scientist , who will empower Marketing, Product, and Sales teams to make strategic, data-driven decisions. Key Responsibilities Mine, process, and analyze web, product, sales, and digital marketing data at an event level. Utilize traditional machine learning techniques and language models (LLMs) to build great AI agents for different business needs. Assist in developing and optimizing LLM-driven solutions for tasks such as text summarization and basic customer support automation. Contribute to building and deploying predictive models and machine learning algorithms across customer profile and usage datasets. Support the deployment of machine learning models into production environments. Assist in designing and implementing basic model activation strategies and participating in A/B testing plans. Conduct evaluations of LLMs, focusing on basic performance metrics like accuracy and latency. Integrate LLM agents with APIs and assist in maintaining data models and improving taxonomy. Key Skills Hands on experience with LLM models and basic knowledge of evaluation metrics for LLMs. Knowledge of designing and deploying agentic systems. knowledge bases, retrieval systems (RAG architecture), and orchestrating dynamic multi-agent workflows. Exposure to machine learning techniques including supervised and unsupervised learning Proficiency in Python, SciKit, SQL, Jupyter Notebooks and understanding of cloud platforms for data science tasks. Basic understanding of data mining and statistical analysis techniques. Continuous learner, keeping up-to-date with the latest advances in transformers, generative AI models, retrieval-augmented generation (RAG), and agentic AI frameworks. Education and Experience B Tech or B. E. (Computer Science / Information Technology) 1+ years as a Data Scientist or similar roles. Analytical and Personal skills Must have good logical reasoning and analytical skills. Good Communication skills in English – both written and verbal. Demonstrate Ownership and Accountability of their work. Attention to detail.

Litigation Support Providing 1 st level support on client projects along with quality review, if required, including Extraction & compilation of data from client tool, sorting, indexing and creation of a readily accessible database of documents and database management Managing case/litigation related documentation by organizing the data in a chronological order, listing cited case law, highlighting relevant statutory law, preparing summary of facts, statements and exhibits, proof reading, etc. Receive and analyze incoming legal service requests. Classify matters by type, urgency, and complexity. Assign cases to appropriate legal teams or escalate as necessary. Monitor case intake queues and ensure timely processing. Maintain records of triaged matters in a case management system. Communicate with internal clients or stakeholders to clarify requests. Ensure compliance with internal protocols and legal procedures. e-discovery document review for responsiveness, privilege, confidentiality and redactions. Performance parameters People/ Process /Client Management Performance Management Shrinkage Process Improvement Technical Skills Ø Good understanding of law and legal concepts Ø Strong legal analytical skills Ø Excellent legal writing skills Ø Knowledge of MS-Office Ø Excellent telephone and communications skills is an added advantage Process Specific Skills Ø Exposure to litigation and legal documentation Ø Drafting, summarization, synopsis creation, proof reading of legal documents Ø Awareness of processes like e-discovery & document review Ø Exposure to or knowledge of document review tools like Concordance, i-CONECT, Zantaz Introspect, Attenex, Kroll Ontrack, Ringtail, Summation, etc. Ø Ability to effectively work using desktop computer system, especially Microsoft Office. Soft Skills (Desired) Ø Proficient in legal knowledge and its application Ø Eye for detail Ø Basic understanding of US legal system Ø Excellent English communication skills – written and spoken Ø Good knowledge of MS Word, Excel, Power-point and good keyboarding speed Ø Basic knowledge of using the internet, web browsers, and search engines Ø Proficient in working independently Ø Competent in fostering a spirit of collaboration and team work Ø Competent in documentation and conformance with policies/compliances, including audit requirements. Soft Skills (Minimum) Ø Basic understanding of law Ø Good English communication skills Ø Spirit of collaboration and team work Ø Meeting documentation requirements Ø Trainability Ø Ability to work independently

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? Enterprise Essentials team within Financial Data Engineering is hiring for a highly skilled Senior Engineering Manager with expertise in Python/Java Full Stack Development, Generative AI, Data Engineering, and Natural Language Processing. The Senior Engineering Manager will be working on creating new capabilities and modernizing existing ones in the domain of Global Tax, Finance and GSM Conversational AI platforms, and Enterprise essential products like Reconciliations, ERRM, Balancing and Control, Concur, and Ariba. The ideal candidate will be responsible for designing, developing, and maintaining scalable AI-driven applications and data pipelines. This role requires a deep understanding of NLP techniques, modern AI frameworks, data engineering best practices, and full-stack development to build innovative solutions that leverage machine learning and AI technologies. Key Responsibilities: Oversees and mentors a team of Software Engineering colleagues, enabling a culture of continuous learning, growth opportunities, and inclusivity for all individual colleagues and teams. Provides direct leadership and coaching to teams, supporting training and development of best practices. Manages resource allocation, project timeline, and budget for Software Engineering projects, ensuring alignment with organizational goals. Collaborates with senior leadership to hire top talent for the team, ensuring a high-functioning and cohesive unit, implementing strategies for talent retention and professional development Leads the development, deployment, support, and monitoring of software across various environments. Collaborates with senior leadership and cross-functional teams to define and implement technology roadmaps and strategies. Leads teams to innovate and automate processes, driving efficiency and scalability in production environments. Drives continuous improvement initiatives, leveraging metrics and feedback to improve team performance and software quality. Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives. Full Stack Development: Design and develop scalable and secure applications using Java / Python framework, and front-end technologies such as React. Implement and optimize microservices, APIs, and server-side logic for AI-based platforms. Develop and maintain cloud-based, containerized applications (Docker, Kubernetes). Design, optimize, and deploy high-performance systems ensuring minimal latency and maximum throughput. Architect solutions for real-time processing, ensuring low-latency data retrieval and high system availability. Troubleshoot and enhance system performance, optimizing for large-scale, real-time, distributed and COTS applications. Generative AI & Machine Learning: Develop, and deploy innovative solutions in Tax, and finance using ML & Generative AI models leveraging frameworks such as langchain. Implement NLP algorithms for language understanding, text summarization, information extraction, and conversational agents. Create pipelines for training and deploying AI models efficiently in production environments. Collaborate with data scientists to optimize and scale AI/NLP solutions. Integrate AI/ML models into applications, ensuring proper scaling, optimization, and monitoring of models in production. Design solutions that enable fast and efficient inference for real-time AI applications. Data Engineering: Build and maintain data pipelines to support AI/ML model development and deployment. Design and develop ETL processes to ingest, clean, and process large-scale structured and unstructured datasets. Work with data storage and retrieval solutions like SQL/NoSQL databases, data lakes, and cloud storage (GCP, AWS, or Azure). Ensure data integrity, security, and performance of the data pipelines. Collaboration & Leadership: Lead cross-functional teams to deliver high-quality, AI-driven products. Lead and mentor engineers and collaborate with product managers, data scientists, and business stakeholders to ensure alignment with project goals. Keep up-to-date with the latest advancements in AI, NLP, and data engineering, and provide technical guidance to the team. Takes accountability for the success of the team achieving their goals Drives the team’s strategy and prioritizes initiatives Influence team members by challenging status quo, demonstrating risk taking, and implementing creative ideas. Be a productivity multiplier for your team by analysing your workflow and contributing to enable the team to be more effective, productive, and demonstrating faster and stronger results. Mentor and guide team members to success within the team Minimum Qualifications Education: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or a related field. 10+ years of experience in software engineering in architecture and design (architecture, design patterns, reliability and scaling) of new and existing systems. Strong experience in developing full stack software in Java or Python, data engineering, and AI/NLP solutions and demonstrated ability to quickly learn new languages. Following standard Engineering excellence standards while building software. Leveraging code assistants like Github Copilot. Writing great prompts for generating high quality code, tests, and other artefacts like documentation. Proficiency in data engineering tools and frameworks like GCP BigQuery, Apache Spark, Kafka. Proficiency with containerization (Docker, Kubernetes), CI/CD pipelines, and version control. Experience with RESTful API design, microservices architecture, and cloud platforms (AWS / GCP / Azure). Preferred Qualifications Experience working with large-scale AI systems in production environments. Familiarity with modern AI research and developments in Generative AI and NLP. `Strong understanding of DevOps and Infrastructure-as-Code (Terraform, Ansible). Proven track record of delivering AI-driven products that scale Understanding of MLOps practices will be a plus. Familiarity with Generative AI models and frameworks (e.g., GPT, DALL-E) Knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) will be a plus We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Growexx is looking for a smart and passionate Data Scientist , who will empower Marketing, Product, and Sales teams to make strategic, data-driven decisions. Key Responsibilities Mine, process, and analyze web, product, sales, and digital marketing data at an event level. Utilize traditional machine learning techniques and language models (LLMs) to build great AI agents for different business needs. Assist in developing and optimizing LLM-driven solutions for tasks such as text summarization and basic customer support automation. Contribute to building and deploying predictive models and machine learning algorithms across customer profile and usage datasets. Support the deployment of machine learning models into production environments. Assist in designing and implementing basic model activation strategies and participating in A/B testing plans. Conduct evaluations of LLMs, focusing on basic performance metrics like accuracy and latency. Integrate LLM agents with APIs and assist in maintaining data models and improving taxonomy. Key Skills Hands on experience with LLM models and basic knowledge of evaluation metrics for LLMs. Knowledge of designing and deploying agentic systems. knowledge bases, retrieval systems (RAG architecture), and orchestrating dynamic multi-agent workflows. Exposure to machine learning techniques including supervised and unsupervised learning Proficiency in Python, SciKit, SQL, Jupyter Notebooks and understanding of cloud platforms for data science tasks. Basic understanding of data mining and statistical analysis techniques. Continuous learner, keeping up-to-date with the latest advances in transformers, generative AI models, retrieval-augmented generation (RAG), and agentic AI frameworks. Education and Experience B Tech or B. E. (Computer Science / Information Technology) 1+ years as a Data Scientist or similar roles. Analytical and Personal skills Must have good logical reasoning and analytical skills. Good Communication skills in English – both written and verbal. Demonstrate Ownership and Accountability of their work. Attention to detail.

Senior Executive EXL/SE/1374896 LegalNoida Posted On 09 Jun 2025 End Date 24 Jul 2025 Required Experience 3 - 6 Years Basic Section Number Of Positions 1 Band A2 Band Name Senior Executive Cost Code G060101 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type Backfill Max CTC 450000.0000 - 700000.0000 Complexity Level Not Applicable Work Type Work From Office – Fully Working From EXL/ Client Offices Organisational Group Enabling Sub Group Legal Organization Legal LOB Legal SBU Legal Country India City Noida Center Noida-SEZ BPO Solutions Skills Skill CONTRACT MANAGEMENT Minimum Qualification LL.B Certification No data available Job Description Basic Function Contract Manage Essential Functions Contract Lifecycle Management (CLM) Perform organizational contract development and management Ensure contracts and proposals are properly entered into organizational database Ensure accuracy and appropriateness of contract text and attachments Review contractual performance of both parties to ensure compliance with terms Contribute in contract strategy meetings to identify issues and client requirements Develop standards for contracts Take ownership of project and run with them to completion Adhere to timelines and deliverables Identify, categorize, abstract and capture key information in the specified format Review different agreements for adherence to defined contract management position Administration of contract databases/repositories using contract management software or tools Participate in various domain & skill-enhancing trainings and development sessions Build and maintain effective relationships across various levels in different departments Participate in various trainings for overall professional development Ensure compliance with internal policies and procedures, external regulations and information security standards Skills Technical Skills Excellent understanding of contract management and good understanding of procurement concepts Strong analytical skills Excellent oral and writing skills Process Specific Skills Good exposure to contract management Experienced in drafting, summarization, synopsis creation, proof reading of documents Thorough understanding of contract terms and conditions from a meaning and implication standpoint Proficient in using desktop computer system, especially Microsoft Office package Soft skills (Desired) Proficient in legal knowledge and its application Eye for detail Proficient in English communication skills – written and spoken Expertise in MS Word, Excel, Power-point and good keyboarding speed Proficient in using the internet, web browsers, and search engines Experienced in creating process DTPs/SOPs Capable of working independently with least or no supervision Proficient in fostering a spirit of collaboration and team work Proficient in operational planning and process management Experienced in documentation and conformance with policies/compliances, including audit requirements Workflow Workflow Type L&S-DA-Consulting