438 Summarization Jobs - Page 4

Job Reference # 318227BR Job Type Full Time Your role Are you interested in pursuing a career in Data Science and AI with STAAT team in Global wealth management Americas? Building deployable machine learning models and embedding it in business workflow Defining AI research problems and criteria for evaluating success Contributing to product design, developing features to enhance the product based on Natural Language techniques Processing massive amounts of structured and unstructured data Researching new machine learning solutions for complex business problems and embedding the models within the business workflow Communicating findings Your team You’ll be working STAAT Data Science team in Mumbai Your expertise degree in Computer Science or related field strong understanding of probability, statistics, linear algebra and calculus 4+ years’ experience in developing and NLP Models Expert level proficiency in python 2+ years’ experience in building NLP models for Sentiment scoring, summarization, abstractions using deep learning, transfer learning techniques Experience in dealing with large-scale unstructured text data Experience in machine learning packages ML experience with different supervised and unsupervised learning algorithms knowledge of a variety of machine learning techniques such as classification, clustering, optimization, Random Forest, PCA, XgBoost, natural language processing, deep neural network, etc good understanding of mathematical underpinning and their realworld advantages/drawbacks hands on experience of using programming languages (Python, R, SQL, etc.) to manipulate data, develop models and derive insights hands on experience of database and analytical technologies in the industry, such as Greenplum, DB2, Dataiku, Hadoop, etc hands-on experience deploying analytical models to solve business problems ability to develop experimental and analytical plans for data modeling processes and A/B testing About Us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.. We have a presence in all major financial centers in more than 50 countries. How We Hire We may request you to complete one or more assessments during the application process. Learn more Join us At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves. We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us. Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce. Show more Show less

Title : Data Analyst About RevX: Made for Growth, Built for App Marketers. RevX helps app businesses acquire and reengage users via programmatic to retain, monetize, and accelerate revenue. We're all about taking your app businesses to a new growth level. We rely on data science, innovative technology, and AI, and a skilled team, to create and deliver seamless ad experiences to delight your app users. That’s why RevX is the ideal partner for app marketers that demand trustworthy insights, a hands-on team, and a commitment to growth. We help you build sound mobile strategies, combining programmatic UA, app re engagement, and performance branding to drive real and verifiable results so you can scale your business: with real users, high retention, and incremental revenue. Position description: We are looking for a versatile and forward-thinking Data Analyst who can bridge traditional data analysis with modern Generative AI (GenAI) capabilities to build internal analytics tools and interfaces. The ideal candidate is comfortable with SQL, can work with platforms like n8n , LookML (Looker) , ChatGPT , Gemini , etc., and is eager to experiment and innovate using GenAI-driven workflows and insights delivery. Required Experience: 3+ years of experience in data analysis or a related field. Strong proficiency in SQL with the ability to work across large datasets. Hands-on experience building data tools/workflows using any of the following: n8n , Looker/LookML , ChatGPT API , Gemini , LangChain , or similar. Familiarity with GenAI concepts , LLMs, prompt engineering, and their practical application in data querying and summarization. Excellent problem-solving skills and a mindset to automate and optimize wherever possible. Strong communication skills with the ability to translate complex data into actionable insights for non-technical stakeholders. Major Responsibilities: Design, build, and maintain analytics workflows/tools leveraging GenAI platforms (e.g., ChatGPT, Gemini etc.) and automation tools (e.g., n8n , Looker etc.). Collaborate with product, marketing, and engineering teams to identify and deliver data-driven insights. Use SQL to query data from data warehouses (BigQuery, Redshift, Snowflake, etc.) and transform it for analysis or reporting. Build automated reporting and insight generation systems using visual dashboards and GenAI-based interfaces. Evaluate GenAI tools and APIs for applicability in data analytics workflows. Explore use cases where GenAI can assist in natural language querying , automated summarization , and explanatory analytics . Work closely with business teams to enable self-service analytics via intuitive GenAI-powered interfaces. Nice to Have: Prior experience in AdTech (ad operations, performance marketing, attribution, audience insights, etc.). Experience with Python , Jupyter Notebooks , or scripting for data manipulation. Familiarity with cloud platforms like Google Cloud Platform (GCP) or AWS . Knowledge of data visualization tools like Tableau , Power BI , or Looker . Education: Bachelor of Engineering or similar degree from any reputed University. For more information visit www.revx.io Show more Show less

Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry. Job Description: Role Summary Crowe’s Technology Advisory (Tech Advisory) practice is seeking a highly motivated IT Due Diligence Analyst to support Mergers & Acquisitions (M&A) engagements. This role will be part of our growing India-based team and will focus on supporting Mergers & Acquisitions engagements working alongside U.S.-based teams to assess technology risks, identify value creation opportunities, and prepare high-impact deliverables informing investment decisions. You will contribute to projects that evaluate a target company's IT environment, supporting a wide range of assessments across infrastructure, applications, cybersecurity, IT org structure, and investment needs, and support the creation of client deliverables. While the role is centered on IT Due Diligence, you will have opportunities to support other Tech Advisory services such as IT Assessments, System Selections, and IT Program Management. Key Responsibilities Support IT Due Diligence engagements by reviewing data room documentation, and performing analysis and summarization Support client-facing meetings, including note taking and follow-up analysis Assist in building and refining deliverables such as PowerPoint presentations, Excel-based financial estimates, and other documentation Research IT trends, vendors, and technologies to inform diligence assessments and other services Help enhance internal Tech Advisory tools, templates, and knowledge resources Flex into support for other Tech Advisory offerings based on team needs (e.g., IT Roadmaps, System Selection, IT Program Management) Qualifications Education: Master’s degree in Information Systems, Computer Science, Business with an IT focus, or related field preferred Bachelor’s degree with relevant experience also considered Experience: 1–2 years of experience in IT consulting, technology advisory, M&A support, or corporate IT Technical Proficiency: Microsoft Excel and PowerPoint (strong proficiency required) Familiarity with data room tools, SharePoint, Azure DevOps is helpful Experience using AI tools (e.g., prompt engineering, low-code development tools) is a plus Key Skills & Competencies Strong analytical thinking and structured problem solving Clear and concise writing and presentation skills Ability to work collaboratively across time zones and manage deliverables independently Professionalism in client-facing settings Detail-oriented with strong time and task management capabilities We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times. Our Benefits: At Crowe, we know that great people are what makes a great firm. We value our people and offer employees a comprehensive benefits package. Learn more about what working at Crowe can mean for you! How You Can Grow: We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper! More about Crowe: Crowe Horwath IT Services Private Ltd. is a wholly owned subsidiary of Crowe LLP (U.S.A.), a public accounting, consulting and technology firm with offices around the world. Crowe LLP is an independent member firm of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory firms in more than 130 countries around the world. Crowe does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge. Show more Show less

About OrbitShift OrbitShift is an AI-led SaaS Product transforming enterprise consultative technology sales. With a top-notch team of leaders from Amazon, McKinsey, IIT, Stanford, we’ve raised $8.5M from marquee investors like PeakXV (Sequoia Surge) & Stellaris Venture Partners. We’re currently expanding our teams across India & USA. About the role We’re looking for a rockstar ML Engineer looking to join a dynamic, fast-paced environment, work closely with cross-functional teams, and hands-on experience in Generative AI and a proven track record of building and deploying scalable Generative AI products. Responsibilities Craft smart, scalable NLP solutions using cutting-edge Gen AI techniques Lead full-cycle ML projects—from problem definition to live deployment Dive deep into LLMs (like Mixtral, Llama etc.) and fine-tune them for business applications Build advanced AI agents (information extraction, summarization, chat interfaces) Work hand-in-hand with product managers, designers, and engineers to turn ideas into magical AI features Bring MLOps best practices to life - ensuring performance, monitoring, and retraining are all seamless Continuously experiment, learn, and improve - because that’s what great AI teams do Requirements Bachelor’s degree in Computer Science, Engineering, IT, or a related field. 4+ years of relevant ML experience with strong exposure to Gen AI Hands-on experience with HuggingFace, Langchain, OpenAI, or similar ecosystems Proven experience with Retrieval Augmented Generation (RAG) and LLM fine-tuning Solid foundation in NLP, deep learning (Transformers, embeddings etc.) Proficient with one of the programming languages like Python, Js etc. Experience with Agent building frameworks like Crew, Autogen or Lang Graph would be a plus Cloud deployment experience (AWS, Azure, or GCP) Strong communicator—able to explain complex tech in simple terms Why choose OrbitShift We’re a lean team with a flat hierarchy Now is the best time to join as we’ve already cracked the code on a product that customers love, but are early-stage enough offering unparalleled learning opportunities High ownership & transparency Fast-tracked growth and career progression You get to build for and sell to an international enterprise customer base Hybrid work setup & flexible work hours Competitive salary & equity Health Insurance for employees & their families Professional Development allowance for online courses *OrbitShift is an equal-opportunity employer. Candidates will not be discriminated against based on race, ethnicity, color, religion, caste, sex, gender identity, sexual orientation, national origin, veteran, or disability status. Show more Show less

Shift: US shift/ Night Shift Job Type: Full-Time Lead and manage the legal team ensuring efficient working and credible delivery of in-house services. Draft, and review Healthcare staffing agreements, State RFPs, Software as a Service contracts, and Business Associate Agreements. Negotiate with candidates on the W2 employment agreement, ensuring risk mitigation and conformance with internal contracting requirements. Answer contractual queries of the delivery and finance team on terms and conditions of contracts. Preparing reports, including contract summarization, amendment terms, and tracking renewals. Update all the commercial information of client agreements on LaborEdge for convenient access by internal stakeholders to all contractual data. Build enduring relationships across the organization and advise internal stakeholders on any legal or contractual query. Research various state and federal statutes as part of clients’ contracts compliance policies like CCPA, HIPPA, OSHA, etc. Assist in filing and renewal process of Nursing Pool and Employment Agency licenses for various States. Lend support to the Human Resources department on employment and labor law issues. Lend support to business teams by preparing data sheets as and when required. Draft legal notices on behalf of the company for recovery of laptop and other equipment provided to employees. Ensure clients have all the required documentation from the Company on time, including form W-9, Certificates of Insurance, Banking setup forms, Vendor setup forms, RFIs, and Contact Information forms. Perks and Benefits Complimentary Cab & meal facilities will be provided. Attractive Base Salary Healthy Work Environment Rewards & Recognition Program Recruiter Details: Name: Priyanka Email: Priyanka.p@talent4health.com Show more Show less

We are seeking a highly skilled Senior/Lead Data Scientist with deep expertise in AI/ML/Gen AI, including Deep Learning, Computer Vision, and NLP. The ideal candidate will bring strong hands-on experience, particularly in building, fine-tuning, and deploying models, and will work directly with customers with minimal supervision. This role requires someone who can not only lead and execute technical projects but also actively contribute to business development through customer interaction, proposal building, and RFP responses. You will be expected to take ownership of AI project execution and team leadership, while helping Tekdi expand its AI footprint. Key Responsibilities Contribute to AI business growth by working on RFPs, proposals, and solutioning activities. Lead the team in delivering customer requirements, ensuring quality and timely execution. Develop and fine tune advanced AI/ML models using deep learning and generative AI techniques. Fine-tune and optimize Large Language Models (LLMs) such as GPT, BERT, T5, and LLaMA. Interact directly with customers to understand their business needs and provide AI-driven solutions. Work with Deep Learning architectures including CNNs, RNNs, and Transformer-based models. Leverage NLP techniques such as summarization, NER, sentiment analysis, and embeddings. Implement MLOps pipelines and deploy scalable AI solutions in cloud environments (AWS, GCP, Azure). Collaborate with cross-functional teams to integrate AI into business applications. Stay updated with AI/ML research and integrate new techniques into projects. Required Skills & Qualifications Minimum 6 years of experience in AI/ML/Gen AI, with at least 3+ years in Deep Learning/Computer Vision. Strong proficiency in Python and popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn). Hands-on experience with LLMs and generative models (e.g., GPT, Stable Diffusion). Experience with data preprocessing, feature engineering, and performance evaluation. Exposure to containerization and cloud deployment using Docker, Kubernetes. Experience with vector databases and RAG-based architectures. Ability to lead teams and projects, and work independently with minimal guidance. Experience with customer-facing roles, proposals, and solutioning. Educational Requirements Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Information Technology, or related field. Preferred Skills (Good To Have) Knowledge of Reinforcement Learning (e.g., RLHF), multi-modal AI, or time-series forecasting. Familiarity with Graph Neural Networks (GNNs). Exposure to Responsible AI (RAI), AI Ethics, or AutoML platforms. Contributions to open-source AI projects or publications in peer-reviewed journals. Skills:- Artificial Intelligence (AI) and Machine Learning (ML) Show more Show less

We are looking for a visionary and technically adept AI Technical Architect to lead the design, development, and deployment of scalable AI/ML solutions across the enterprise. This role blends deep technical expertise with strategic leadership to deliver innovative, secure, and ethical AI systems. You will work closely with cross-functional teams to architect intelligent platforms that align with organizational goals and drive meaningful business impact. Location: Hyderabad/ Remote Experience: 9+ Years Key Responsibilities Architect and build cloud-native AI/ML platforms using AWS (SageMaker, Bedrock), Azure (ML, OpenAI), or GCP (Vertex AI, BigQuery, LangChain). Lead the end-to-end development of cutting-edge AI solutions, including Retrieval-Augmented Generation (RAG) pipelines, summarization tools, and virtual assistants. Design and implement robust MLOps and LLMOps frameworks to support CI/CD, model versioning, retraining, monitoring, and production observability. Ensure all AI solutions adhere to Responsible AI practices, focusing on explainability, fairness, bias mitigation, auditability, and compliance with regulations (e.g., GDPR, HIPAA). Integrate AI models seamlessly with enterprise data pipelines, APIs, and business applications to support real-time and batch inference workflows. Oversee the full ML lifecycle—from data preparation and feature engineering to model training, tuning, deployment, and monitoring. Collaborate with cross-functional teams including data engineers, product managers, and business stakeholders to ensure alignment with strategic initiatives. Leverage deep learning architectures (CNNs, RNNs, Transformers) to address use cases in NLP, computer vision, and forecasting. Define AI governance frameworks, including audit trails, bias detection protocols, and model transparency mechanisms. Provide mentorship and technical leadership to data scientists and AI engineers. Continuously evaluate new AI technologies, research advancements, and industry best practices to evolve architectural standards and drive innovation. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field. 9+ years of overall software development experience, with at least 3 years in AI/ML architecture or technical leadership. Expertise in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Proven experience deploying AI models at scale in production environments. Strong grasp of modern data architectures including data lakes, data warehouses, and ETL/ELT pipelines. Proficient with containerization (Docker), orchestration (Kubernetes), and cloud-based ML platforms (AWS Sagemaker, Azure ML, GCP Vertex AI). Hands-on experience with MLOps tools such as MLflow, Kubeflow, and Airflow. Familiarity with LLMs, prompt engineering, and language model fine-tuning is a plus. Exceptional communication skills with the ability to influence and collaborate across teams. Demonstrated experience mentoring engineers and leading technical initiatives. Candidates with prior experience in Healthcare or Telecom domains will be strongly preferred , especially those who have delivered domain-specific AI solutions aligned to regulatory, operational, or customer engagement needs. Preferred Qualifications Industry certifications in AI/ML or cloud architecture (e.g., AWS Machine Learning Specialty, Google Cloud ML Engineer). Experience with RAG pipelines and vector databases like Pinecone, FAISS, or Weaviate. Deep understanding of ethical AI principles and regulatory compliance requirements. Prior involvement in architectural reviews, technical steering committees, or enterprise-wide AI initiatives. Why Veltris? AI-First Company: Veltris is built on the foundation of AI. We enable clients to build advanced products using the latest technologies including Machine Learning (ML), Deep Learning (DL – CV, NLP), and MLOps. Proprietary AI Framework: We've developed a full-stack AI framework to accelerate clients' ML model development and deployment lifecycle. Explore: Insight.AI NVIDIA Partnership: We are a part of the NVIDIA Partner Network as a Professional Services Partner, delivering solutions powered by NVIDIA’s GPU and software ecosystem. Read more Cutting-Edge Research: We collaborate with academic institutions and research organizations to address complex problems in domains like medical imaging, biopharma, life sciences, legal, retail, and agriculture. Empowered Work Environment: Every team member, including junior engineers, works on impactful features in complex domains, contributing to real-world client success. Culture: Open communication, flat hierarchy, and a strong culture of ownership and innovation. Show more Show less

Key Responsibilities Build robust document data extraction pipelines using NLP and OCR techniques Develop and optimize end-to-end workflows for parsing scanned/image-based documents (PDFs, JPGs, TIFFs) and structured files (MS Excel, MS Word). Leverage LLM models (OpenAI GPT, Claude, Gemini etc.) for advanced entity extraction, summarization, and classification tasks. Design and implement Python-based scripts for parsing, cleaning, and transforming data. Integrate with Azure Services for document storage, compute, and secured API hosting (e.g., Azure Blob, Azure Functions, Key Vault, Azure Cognitive Services). Deploy and orchestrate workflows in Azure Databricks (including Spark and ML pipelines). Build and manage API calls for model integration, rate-limiting, and token control using AI gateways. Automate results export into SQL/Oracle databases and enable downstream access for analytics/reporting. Handle diverse metadata requirements, and create reusable, modular code for different document types. Optionally visualize and report data using Power BI and export data into Excel for stakeholder review. Technical Skills Required Skills & Qualifications: Strong programming skills in Python (Pandas, Regex, Pytesseract, spaCy, LangChain, Transformers, etc.) Experience with Azure Cloud (Blob Storage, Function Apps, Key Vaults, Logic Apps) Hands-on with Azure Databricks (PySpark, Delta Lake, MLFlow) Familiarity with OCR tools like Tesseract, Azure OCR, AWS textract, or Google Vision API Proficient in SQL and experience with Oracle Database integration (using cx_Oracle, SQLAlchemy, etc.) Experience working with LLM APIs (OpenAI, Anthropic, Google, or Hugging Face models) Knowledge of API development and integration (REST, JSON, API rate limits, authentication handling) Excel data manipulation using Python (e.g., openpyxl, pandas, xlrd) Understanding of Power BI dashboards and integration with structured data sources Nice To Have Experience with LangChain, LlamaIndex, or similar frameworks for document Q&A and retrieval-augmented generation (RAG) Background in data science or machine learning CI/CD and version control (Git, Azure DevOps) Familiarity with Data Governance and PII handling in document processing Soft Skills Strong problem-solving skills and an analytical mindset Attention to detail and ability to work with messy/unstructured data Excellent communication skills to interact with technical and non-technical stakeholders Ability to work independently and manage priorities in a fast-paced environment Show more Show less

Career Area: Finance Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Your Impact Shapes the World at Caterpillar Inc When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Job Summary Caterpillar is seeking a skilled Accounting Analyst (Accounting Associate-ITC) to join our team to act as a champion for our Global Bus Svcs ITC Team within the Global Finance Services Division . The incumbent would be responsible with related to Accounts Receivable management to support Invoice to Cash scope across the Globe. The preference for this role is to be based out of Whitefield Office, Bangalore, India What You Will Do The Invoice to Cash team is looking for talented and motivated Accounting Analysts to join our team in Bangalore, India. The role has responsibilities related to Accounts Receivable management to support Invoice to Cash scope across the Globe. ERP Experience: Oracle Experience is a requirement. Responsibilities Responding inquiries and contacting other departments or vendors to resolve a variety of problems. Ensuring timely and accurate cash application of payments received from customers, trough different means of payments. Creating reports on financial performance for internal and external use. Upon request, take part in special projects and ad hoc reporting requests. Maintain, implement, and adhere to internal controls while ensuring that accounting procedures comply with GAAP. What You Will Have Bachelor’s or master’s Degree, 6-9 years of experience in Invoice to Cash/Accounts Receivable management. Shift Timing-06:00pm -03:00AM IST Requirements Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision Communicating Complex Concepts: Knowledge of effective presentation tools and techniques to ensure clear understanding; ability to use summarization and simplification techniques to explain complex technical concepts in simple, clear language appropriate to the audience Accurately gauges the impact and cost of errors, omissions, and oversights. Utilizes specific approaches and tools for checking and cross-checking outputs. Learns from mistakes and applies lessons learned. Develops and uses checklists to ensure that information goes out error-free. Analytical Thinking: Knowledge of Account Receivables processes, techniques and tools that promote effective analysis Ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. Problem Solving: Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply knowledge of problem solving appropriately to diverse situations. Skills Desired: Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision. Level Working Knowledge: Accurately gauges the impact and cost of errors, omissions, and oversights. Utilizes specific approaches and tools for checking and cross-checking outputs. Processes limited amounts of detailed information with good accuracy. Learns from mistakes and applies lessons learned. Develops and uses checklists to ensure that information goes out error-free. Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. Level Basic Understanding: Names specific tools or techniques that can be used to support the analytical thinking process. Describes specific software applications or products used for business analytics. Gives examples of how analytical thinking has been used to resolve problems. Helps others research and learn more about business analytics tools and applications. Effective Communications: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors. Level Working Knowledge: Delivers helpful feedback that focuses on behaviors without offending the recipient. Listens to feedback without defensiveness and uses it for own communication effectiveness. Makes oral presentations and writes reports needed for own work. Avoids technical jargon when inappropriate. Looks for and considers non-verbal cues from individuals and groups. Managing Multiple Priorities: Knowledge of effective self-management practices; ability to manage multiple concurrent objectives, projects, groups, or activities, making effective judgments as to prioritizing and time allocation. Level Basic Understanding: Explains basic concepts of time and priority management. Seeks guidance in detecting and addressing priority conflicts. States own business priorities. Describes team or unit priorities. What You Will Get: Work Life Harmony Earned and medical leave. Flexible work arrangements Relocation assistance Holistic Development Personal and professional development through Caterpillar ‘s employee resource groups across the globe Career developments opportunities with global prospects Health and Wellness Medical coverage -Medical, life and personal accident coverage Employee mental wellness assistance program Financial Wellness Employee investment plan Pay for performance -Annual incentive Bonus plan. Additional Information: Caterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of the U.S. which can be found through our employment website at www.caterpillar.com/careers Posting Dates: Caterpillar is an Equal Opportunity Employer. Not ready to apply? Join our Talent Community. Show more Show less

Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on. At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all. Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you. Description UKG Ready is seeking a strategic and hands-on Manager of Product Management to lead initiatives within our Data Sub-Stream. This role will oversee two high-impact areas: the evolution of our GenAI and Agent capabilities (including LLM-based features, evaluations, and intelligent experiences), and the continued growth of our analytics platform, powered by BigQuery. This is a leadership role that involves close collaboration with senior and executive management to define vision, drive execution, and mentor product team members. Success in this role will be measured by your ability to work cross-functionally with engineering, AI research, UX, and other AI pillars across UKG to deliver scalable, responsible, and user-centric data and AI products. If you thrive at the intersection of data, intelligence, and user experience—and enjoy growing a young team while shaping both strategic roadmaps and day-to-day product development—we’d love to connect. Responsibilities Strategy & Leadership Define and own the product strategy for UKG Ready’s data platform. Lead a team of product managers across multiple geographies, providing mentorship, prioritization, and execution support. Represent GenAI and Analytics in cross-functional planning, executive updates, and stakeholder alignment. Champion a user-centric and ethically responsible approach to LLM-powered features. Align AI-powered product experiences with the underlying analytics infrastructure. GenAI & LLM Oversee the development of LLM-powered features (e.g., summarization, chat, intelligent insights). Guide prompt engineering strategies, evaluation frameworks, and RAG pipelines. Ensure robust infrastructure for safe, high-performance AI interactions. Monitor real-world performance and quality of generative experiences, driving continuous improvement. Analytics Platform Drive the roadmap for the analytics platform and reporting experiences, including dashboards and data exploration tools. Guide the evolution of our BigQuery architecture and data products to support scalability and cross-suite reporting. Collaborate with data engineering and architecture teams to ensure clean, performant, and accessible data for all personas. Align KPIs, dashboards, and self-service tools with both internal and customer-facing needs. Execution Support agile ceremonies across teams: planning, grooming, story definition, and backlog management. Translate customer feedback, usage data, and market trends into actionable priorities. Balance short-term delivery with long-term vision to ensure sustainable product development. Define and track success metrics across both GenAI and Analytics initiatives. Qualifications 6–10 years of product management experience, including 2+ years in a leadership or mentoring role. Proven experience owning product strategy and execution in one or more of the following areas: Generative AI/LLMs, analytics platforms, or data products. Demonstrated success leading cross-functional initiatives across engineering, UX, and data science. Strong working knowledge of LLM concepts (prompting, embeddings, RAG, evaluation), preferably in production environments. Hands-on familiarity with cloud data platforms—BigQuery experience strongly preferred. Excellent communication skills, with the ability to distill complexity into clear direction for both executives and teams. Deep user empathy and a data-driven decision-making mindset. Bonus: Experience with vector databases, LangChain/LlamaIndex, dbt, or Looker. Bonus: Background in enterprise SaaS, HR tech, or workflow platforms. Where we’re going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process. Disability Accommodation in the Application and Interview Process For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com Show more Show less

Design, develop, and deploy AI/NLP solutions to solve diverse business challenges—particularly in areas like text classification, information extraction, summarization, and semantic search Conduct exploratory data analysis and feature engineering Contribute to the development initiatives in the GenAI domain, focusing on cutting-edge technologies like Large Language Models, Retrieval-Augmented Generation, and autonomous agents. Validate and monitor solution quality using real-world feedback data Work closely with ML engineers and DevOps teams to operationalize models (on cloud and on-prem environments) Hands-on experience on deploying solutions to cloud-native AI platforms (AWS/Azure/GCP) Collaborate with clients and business stakeholders to scope and refine requirements, validate model behavior, and ensure successful deployment Explore and experiment with LLMs, prompt engineering, and retrieval-augmented generation (RAG) techniques for advanced use cases Contribute to building reusable components, best practices, and scalable frameworks for AI delivery Exeperience of development of retrieval-augmented systems by combining LLMs with document retrieval, clustering, and search techniques. Qualifications 3–6 years of hands-on experience in data science, with a focus on NLP, deep learning, and machine learning applications Strong programming skills in Python; experience with relevant libraries such as scikit-learn, spaCy, NLTK, PyTorch, TensorFlow, or Hugging Face Proven experience in delivering NLP/LLM-based solutions Familiarity with cloud platforms (AWS, Azure, or GCP) and experience with deploying AI models to production Ability to handle end-to-end ownership of solutions, from POC to deployment Prior experience in consulting or client-facing data science roles is a plus Exposure to document databases (e.g., MongoDB), graph databases, or vector databases (e.g., FAISS, Pinecone) is a bonus Show more Show less

Design, develop, and deploy AI/NLP solutions to solve diverse business challenges—particularly in areas like text classification, information extraction, summarization, and semantic search Conduct exploratory data analysis and feature engineering Contribute to the development initiatives in the GenAI domain, focusing on cutting-edge technologies like Large Language Models, Retrieval-Augmented Generation, and autonomous agents. Validate and monitor solution quality using real-world feedback data Work closely with ML engineers and DevOps teams to operationalize models (on cloud and on-prem environments) Hands-on experience on deploying solutions to cloud-native AI platforms (AWS/Azure/GCP) Collaborate with clients and business stakeholders to scope and refine requirements, validate model behavior, and ensure successful deployment Explore and experiment with LLMs, prompt engineering, and retrieval-augmented generation (RAG) techniques for advanced use cases Contribute to building reusable components, best practices, and scalable frameworks for AI delivery Experience of development of retrieval-augmented systems by combining LLMs with document retrieval, clustering, and search techniques. Qualifications 3–6 years of hands-on experience in data science, with a focus on NLP, deep learning, and machine learning applications Strong programming skills in Python; experience with relevant libraries such as scikit-learn, spaCy, NLTK, PyTorch, TensorFlow, or Hugging Face Proven experience in delivering NLP/LLM-based solutions Familiarity with cloud platforms (AWS, Azure, or GCP) and experience with deploying AI models to production Ability to handle end-to-end ownership of solutions, from POC to deployment Prior experience in consulting or client-facing data science roles is a plus Exposure to document databases (e.g., MongoDB), graph databases, or vector databases (e.g., FAISS, Pinecone) is a bonus Show more Show less

Senior Data Scientist — Gen AI/ML Expert Location: Hybrid — Gurugram Company: Mechademy – Industrial Reliability & Predictive Analytics About Mechademy At Mechademy, we are redefining the future of reliability in rotating machinery with our flagship product, Turbomechanica . Built at the intersection of physics-based models, AI, and machine learning , Turbomechanica delivers prescriptive analytics that detect potential equipment issues before they escalate, maximizing uptime, extending asset life, and reducing operational risks for our industrial clients. The Role We are seeking a talented and driven Senior Data Scientist (AI/ML) with 3+ years of experience to join our AI team. You will play a critical role in building scalable ML pipelines, integrating cutting-edge language models, and developing autonomous agent-based systems that transform predictive maintenance is done for industrial equipment. This is a highly technical and hands-on role, with strong emphasis on real-world AI deployments — working directly with sensor data, time-series analytics, anomaly detection, distributed ML, and LLM-powered agentic workflows . What Makes This Role Unique Work on real-world industrial AI problems , combining physics-based models with modern ML/LLM systems. Collaborate with domain experts, engineers, and product leaders to directly impact critical industrial operations. Freedom to experiment with new tools, models, and techniques — with full ownership of your work. Help shape our technical roadmap as we scale our AI-first predictive analytics platform. Flexible hybrid work culture with high-impact visibility. Key Responsibilities Design & Develop ML Pipelines: Build scalable, production-grade ML pipelines for predictive maintenance, anomaly detection, and time-series analysis. Distributed Model Training: Leverage distributed computing frameworks (e.g. Ray, Dask, Spark, Horovod) for large-scale model training. LLM Integration & Optimization: Fine-tune, optimize, and deploy large language models (Llama, GPT, Mistral, Falcon, etc.) for applications like summarization, RAG (Retrieval-Augmented Generation), and knowledge extraction. Agent-Based AI Pipelines: Build intelligent multi-agent systems capable of reasoning, planning, and executing complex tasks via tool usage, memory, and coordination. End-to-End MLOps: Own the full ML lifecycle — from research, experimentation, deployment, monitoring to production optimization. Algorithm Development: Research, evaluate, and implement state-of-the-art ML/DL/statistical algorithms for real-world sensor data. Collaborative Development: Work closely with cross-functional teams including software engineers, domain experts, product managers, and leadership. Core Requirements 3+ years of professional experience in AI/ML, data science, or applied ML engineering. Strong hands-on experience with modern LLMs (Llama, GPT series, Mistral, Falcon, etc.), fine-tuning, prompt engineering, and RAG techniques. Familiarity with frameworks like LangChain, LlamaIndex , or equivalent for LLM application development. Practical experience in agentic AI pipelines : tool use, sequential reasoning, and multi-agent orchestration. Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and at least one deep learning framework (TensorFlow, PyTorch, or JAX). Exposure to distributed ML frameworks (Ray, Dask, Horovod, Spark ML, etc.). Experience with containerization and orchestration (Docker, Kubernetes). Strong problem-solving ability, ownership mindset, and ability to work in fast-paced startup environments. Excellent written and verbal communication skills. Bonus / Good to Have Experience with time-series data, sensor data processing, and anomaly detection. Familiarity with CI/CD pipelines and MLOps best practices. Knowledge of cloud deployment, real-time system optimization, and industrial data security standards. Prior open-source contributions or active GitHub projects. What We Offer Opportunity to work on cutting-edge technology transforming industrial AI. Direct ownership, autonomy, and visibility into product impact. Flexible hybrid work culture. Professional development budget and continuous learning opportunities. Collaborative, fast-moving, and growth-oriented team culture. Health benefits and performance-linked rewards. Potential for equity participation for high-impact contributors. Note: Title and compensation will be aligned with the candidate’s experience and potential impact. Show more Show less

Client Type: US Client Location: Remote This is a 6-month freelance contract, offering up to 30 hours per week. We are seeking a Subject Matter Expert (SME) with profound expertise in Google's Gemini models, focusing on their practical application from foundational use to advanced power-user techniques. This role is crucial for the development and validation of our certification course, Mastering Gemini from Beginner to Power User (Google DeepMind). This certification will focus on the practical, hands-on use of the Gemini app for business productivity, communication, content creation, and workflow automation, not on programming, API usage or technical integration. As this is a freelance position, we're seeking individuals with a proven track record of successfully managing freelance engagements and multiple client relationships. Responsibilities: Collaborate with a team of learning experience designers to help create and validate training materials. Review a skills task or job task analysis for accuracy and completeness, providing feedback on essential vs. nice-to-know tasks and suggesting improvements. Review a high-level program outline and provide feedback on the order and complexity of topics for the intended audience. Review a detailed program outline to ensure alignment with the high-level program outline, and confirm that content is presented in the correct order and format. Validate AI-generated content to ensure it conforms to learning objectives and is technically accurate. Support the creation of content-specific graphics, such as tables, flowcharts, and screen captures. Create any necessary assets to produce demonstrations that showcase specific procedures and skills. Create recordings of software demonstrations and related audio scripts. Coordinate with learning experience designers to develop the necessary assets, steps, and technical elements for hands-on projects, including exercises, labs, and projects. Be available during US business hours, Monday through Friday, for content reviews, questions, and occasional meetings. Work on the company's systems for all work, including email, messaging platform, and cloud-based file storage systems. Log time weekly and invoice time monthly. Required Skills & Experience: Gemini Model Expertise: Demonstrable, extensive hands-on experience in using and applying Google's Gemini models across a wide range of business settings for common tasks: email drafting, document summarization, brainstorming, workflow automation, etc. Comprehensive knowledge of Gemini's full suite of capabilities, different model versions (Flash, Pro, Ultra), their nuances, and advanced prompt engineering strategies tailored for diverse tasks and outputs. Proven experience with Gemini's multimodal functionalities (text, image, audio, video processing and generation). Experience training non-technical users in adopting AI tools for productivity. Technical & Communication Skills: Ability to clearly articulate complex concepts related to Gemini's functionality, underlying principles (at a high level), use cases, and best practices to diverse audiences, including those new to generative AI and those aiming for advanced proficiency. Experience in developing practical, real-world applications or sophisticated workflows leveraging Gemini (even if for personal projects or proofs-of-concept, demonstrating power-user capabilities). Proficiency in Python, especially for interacting with the Gemini API and demonstrating power user scripting examples (relevant for power-user content). Experience using Google AI Studio for experimenting with, prompting, and understanding Gemini models. Practical experience using the Gemini API for various tasks, understanding its parameters, and integrating it into simple applications or workflows. Gemini Models: Deep familiarity with the different Gemini models (e.g., Flash, Pro, Ultra) and their capabilities. Google AI Studio: For direct interaction, experimentation, and prompting with Gemini models. Gemini API: For programmatic access and integration, especially relevant for power-user understanding. Python: As a common language for using the Gemini API. Google Collaboratory (Colab) / Jupyter Notebooks: For demonstrating API usage and interactive coding with Gemini. Vertex AI: Understanding how Gemini models are accessed and utilized within Google Cloud's Vertex AI platform for more advanced use cases. Responsible AI & Problem Solving: Strong understanding of ethical considerations, responsible AI practices (especially Google's guidelines), and safety measures pertinent to using large language models like Gemini. Excellent problem-solving skills and the ability to troubleshoot issues related to Gemini usage and prompting. Teach and model responsible AI use for business users, including privacy awareness, bias identification, and best practice for verifying AI-generated content. Learning and Development Experience in reviewing training materials for technical accuracy and clarity. A strong understanding of adult learning principles is a plus. Essential experience in training, learning, and development, or teaching. Proven ability to create and deliver effective screencasts and video tutorials. Strong ability to articulate complex technical concepts in an accessible manner. Availability to work during the US time zones' business hours. Qualifications: Bachelor's degree in Computer Science, AI, Data Science, Technical Communication, or a related field (Master's preferred), or equivalent practical experience. Ability to clearly articulate complex concepts related to Gemini's functionality, underlying principles (at a high level), use cases, and best practices to diverse audiences, including those new to generative AI and those aiming for advanced proficiency. Experience in developing practical, real-world applications or sophisticated workflows leveraging Gemini (even if for personal projects or proofs-of-concept, demonstrating power-user capabilities). Strong understanding of ethical considerations, responsible AI practices (especially Google's guidelines), and safety measures pertinent to using large language models like Gemini. Excellent problem-solving skills and the ability to troubleshoot issues related to Gemini usage and prompting. Nice To Have: Experience in technical writing, curriculum development, or delivering training on AI tools or complex software. Familiarity with the broader Google Cloud AI ecosystem and how Gemini integrates or complements other services. Relevant Google Cloud certifications (e.g., Digital Leader, Cloud AI Engineer) can be a plus but are secondary to direct Gemini expertise. Show more Show less

Job Title: Senior Data Scientist (Advanced Modeling & Machine Learning) Location: Remote Job Type: Full-time About the role We are seeking a highly motivated and experienced Senior Data Scientist with a strong background in statistical modeling, machine learning, and natural language processing (NLP). This individual will work on advanced attribution models and predictive algorithms that power strategic decision-making across the business. The ideal candidate will have a Master’s degree in a quantitative field, 4–6 years of hands-on experience, and demonstrated expertise in building models from linear regression to cutting-edge deep learning and large language models (LLMs). A Ph.D. is strongly preferred. Responsibilities Responsible for analyzing the data, identifying patterns, and do a detailed EDA. Build and refine predictive models using techniques such as linear/logistic regression, XGBoost, and neural networks. Leverage machine learning and NLP methods to analyze large-scale structured and unstructured datasets. Apply LLMs and transformers to develop solutions in content understanding, summarization, classification, and retrieval. Collaborate with data engineers and product teams to deploy scalable data pipelines and model production systems. Interpret model results, generate actionable insights, and present findings to technical and non-technical stakeholders. Stay abreast of the latest research and integrate cutting-edge techniques into ongoing projects Required Qualifications Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related field. 4–6 years of industry experience in data science or machine learning roles. Strong statistical foundation, with practical experience in regression modeling, hypothesis testing, and A/B testing. Hands-on knowledge of: > Programming languages : Python (primary), SQL, R (optional) > Libraries : pandas, NumPy, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, spaCy, Hugging Face Transformers > Distributed computing : PySpark, Dask > Big Data and Cloud Platforms : Databricks, AWS Sagemaker, Google Vertex AI, Azure ML > Data Engineering Tools : Apache Spark, Delta Lake, Airflow > ML Workflow & Visualization : MLflow, Weights & Biases, Plotly, Seaborn, Matplotlib > Version control and collaboration : Git, GitHub, Jupyter, VSCode Preferred Qualifications Masters or Ph.D. in a quantitative or technical field. Experience with deploying machine learning pipelines in production using CI/CD tools. Familiarity with containerization (Docker) and orchestration (Kubernetes) in ML workloads. Understanding of MLOps and model lifecycle management best practices. Experience in real-time data processing (Kafka, Flink) and high-throughput ML systems. What We Offer Competitive salary and performance bonuses Flexible working hours and remote options Opportunities for continued learning and research Collaborative, high-impact team environment Access to cutting-edge technology and compute resources To apply, send your resume to jobs@megovation.io to be part of a team pushing the boundaries of data-driven innovation. Show more Show less

Job Description We are seeking a highly skilled Senior Technical Expert with extensive experience in OpenAI and Azure for Bangalore or Kochi Location. AI technologies to join our team. The ideal candidate will have a strong background in AI development, cloud solutions, and hands-on expertise with cutting-edge AI tools and platforms. This role involves designing, implementing, and optimizing AI-based solutions to meet business needs, with a focus on GPT-based models and Azure AI capabilities. Key Responsibilities 1. AI Solution Development: o Develop, optimize, and implement AI-powered solutions using GPT models like Azure GPT, ChatGPT, and advanced tools for token cost optimization. o Perform performance tuning on GPT models to enhance efficiency and accuracy. 2. Azure AI Expertise: o Design and manage solutions using Azure AI Search and VectorDB technologies, including Chroma, ElasticSearch, and other relevant platforms. o Leverage Azure cloud services for implementing scalable and secure AI solutions . 3. AI Engineering and Prompt Optimization: o Implement prompt engineering techniques to maximize the output efficiency of AI models. o Build and refine summarization models to extract concise and accurate information. 4. Programming & Automation: o Utilize Python to create and maintain AI pipelines, automation scripts, and performance tracking tools. 5. Collaborative Development: o Work with cross-functional teams, including data engineering, front-end, and operations teams, to build end-to-end AI-powered solutions. 6. Integration & Deployment: o Use Kubernetes and Helm Charts for seamless deployment of AI models. o Collaborate with DevOps teams to ensure smooth integration of AI tools into the existing ecosystem. Mandatory Technical Skills Azure AI Search and VectorDB solutions like Chroma, ElasticSearch. Expertise in GPT models, including Azure GPT, ChatGPT, and related token cost optimization strategies. Python programming for AI model implementation and process automation. Advanced prompt engineering and performance tuning for AI models. Preferred Secondary Skills Proficiency in ReactJS for front-end development. Experience with Azure Synapse and Azure Data Bricks for data processing and analytics. Strong understanding of ElasticSearch for data retrieval optimization. Knowledge of Kubernetes and Helm Charts for application deployment. Required Soft Skills Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Commitment to meeting deadlines and delivering quality solutions. Job Type: Full-time Pay: ₹3,000,000.00 - ₹3,500,000.00 per year Ability to commute/relocate: HSR Layout, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person

Job Title : Gen AI / ML Data Scientist Location : Gurugram / Chennai (Hybrid or Onsite) Experience : 46 years Employment Type : Full-time Job Summary We are looking for an experienced Data Scientist with strong expertise in Generative AI and Machine Learning to join our team. The ideal candidate will have hands-on experience in building, deploying, and optimizing AI/ML models for various real-world use cases, especially in GenAI (LLMs, Transformers, Diffusion Models, Responsibilities : Design and develop ML/AI models including but not limited to supervised, unsupervised, NLP, and Gen AI techniques. Build and fine-tune LLM-based solutions (e.g., GPT, BERT, LLaMA) for enterprise applications like chatbots, summarization, information extraction, etc. Conduct data preprocessing, feature engineering, and model evaluation using appropriate ML/AI techniques. Collaborate with data engineers, MLOps, and product teams to deploy models in production. Conduct research and stay up to date on emerging trends in Gen AI and ML. Work on Prompt Engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases. Present findings and insights to business stakeholders and non-technical Skills & Experience : 5 years of experience in Data Science, ML, and AI. Strong experience with Generative AI frameworks (OpenAI, Hugging Face Transformers, LangChain, LlamaIndex, etc.). Proficiency in Python, with experience in libraries like Scikit-learn, TensorFlow/PyTorch, pandas, NumPy, etc. Experience working with LLMs, vector databases (e.g., FAISS, Pinecone), and large datasets. Familiarity with cloud platforms like AWS, GCP, or Azure for AI/ML model deployment. Good understanding of MLOps pipelines, CI/CD for ML, and model monitoring. Strong problem-solving and communication to Have : Knowledge of diffusion models, image/video generation, or multimodal models. Experience with data visualization tools (e.g., Tableau, Power BI, Plotly). Domain knowledge in BFSI, healthcare, or retail is a Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field. (ref:hirist.tech) Show more Show less

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description Managing a team of 15-20 FTEs (resources from medical background) Job Responsibilities Maintains an environment of highly engaged employees who create highly satisfied customers[Internal and External Communicates verbally or in writing about claim processes/procedures with other employees, leaders and teams Manages multiple highly complex work assignments with limited guidance provided Proactively uses claim technical expertise to train others Manages staff and effectively uses performance management to improve and/or reward employee performance Effectively coaches and provides development/career guidance for direct reports Assists leadership in developing strategies of operational improvement Participates in the implementation of process improvement, operational performance andeff ectiveness programs and changes Ensures adherence to empathetic and responsive customer service in all transactions Supervisory Responsibilities Manages/leads Team of employees Creates a positive and satisfying work environment using recognition, empowerment, listening, valuing diversity, and acting as a role model for others. Recommend training and education programs to enhance associate's knowledge and development. Implements the Performance Management and Progressive Discipline Processes. Knowledge/Skills/Abilities/Experience Primary Skills Doctor from any streams (BHMS, BAMS, BDS, BPT, MPT, MBBS) with claims/clinical experience. Minimum 6-7 years of work experience in life/health/disability insurance/casualty claims or underwriting Relevant experience in life/health/disability claims handling/settlement/adjudication/medical summarization and investigation process is preferred Primary Skill- Team Management & Medical Summarization Exp- 8-12Yrs Shift time- 8AM to 5PM Primary Skills Customer Centricity, Digital Literacy, Inclusive Leadership, Learning Agility, Medical Summaries, Results-Oriented, Summarization, Team Management Shift Time Shift A (India) Recruiter Info Hiral Parag Rughani hparb@allstate.com About Allstate The Allstate Corporation is one of the largest publicly held insurance providers in the United States. Ranked No. 84 in the 2023 Fortune 500 list of the largest United States corporations by total revenue, The Allstate Corporation owns and operates 18 companies in the United States, Canada, Northern Ireland, and India. Allstate India Private Limited, also known as Allstate India, is a subsidiary of The Allstate Corporation. The India talent center was set up in 2012 and operates under the corporation's Good Hands promise. As it innovates operations and technology, Allstate India has evolved beyond its technology functions to be the critical strategic business services arm of the corporation. With offices in Bengaluru and Pune, the company offers expertise to the parent organization’s business areas including technology and innovation, accounting and imaging services, policy administration, transformation solution design and support services, transformation of property liability service design, global operations and integration, and training and transition. Learn more about Allstate India here. Show more Show less

Overview Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune 500 companies. At the Esri R&D Center-New Delhi, we are applying cutting-edge AI and deep learning techniques to revolutionize geospatial analysis and derive insight from imagery and location data. We are passionate about applying data science and artificial intelligence to solve some of the world’s biggest challenges. Our team develops tools, APIs, and AI models for geospatial analysts and data scientists, enabling them to leverage the latest research in spatial data science, AI and geospatial deep learning. As a Data Scientist, you will develop deep learning models using libraries such as PyTorch and create APIs and tools for training and deploying them on satellite imagery. If you are passionate about deep learning applied to remote sensing and GIS, developing AI and deep learning models, and love maps or geospatial datasets/imagery, this is the place to be! Responsibilities Develop tools, APIs and pretrained models for geospatial AI Integrate ArcGIS with popular deep learning libraries such as PyTorch Fine-tune large language models (LLMs) for geospatial AI tasks and develop AI agents and assistants Develop APIs and model architectures for natural language processing and deep learning on unstructured text Author and maintain geospatial data science samples using ArcGIS and machine learning/deep learning libraries Curate and pre/post-process data for deep learning models and transform it into geospatial information Perform comparative studies of various deep learning model architectures Requirements 2 to 6 years of experience with Python, in data science and deep learning Self-learner with coursework in and extensive knowledge of machine learning and deep learning Experience with Python machine learning and deep learning libraries such as PyTorch, Scikit-learn, NumPy, Pandas Expertise in one or more of these areas: Experience with transformer-based models Large language models and experience building applications using them Experience of working on NLP based tasks such as recommender system, summarization, and more Experience in data visualization in Jupyter Notebooks using matplotlib and other libraries Experience with hyperparameter-tuning and training models to a high level of accuracy Bachelor's in computer science, engineering, or related disciplines from IITs and other top-tier engineering colleges Existing work authorization for India Recommended Qualifications Familiarity with ArcGIS suite of products and concepts of GIS Familiarity and experience using langchain/AutoGPT/BabyAGI About Esri At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here. If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply! Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance. Requisition ID: 2025-2398 Show more Show less

🧠 Job Title: Engineering Manager Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience Required: 7–12 Years Compensation: Competitive salary + ESOPs + Performance-based bonuses 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing AI-first startups, building next-gen conversational intelligence and real-time agent assist tools for sales teams globally. We’re transforming how enterprise sales happens across industries like BFSI, real estate, retail, and telecom with a GenAI-powered platform that combines multilingual transcription, NLP, real-time nudges, knowledge base integration, and performance analytics—all in one. Our clients include some of the biggest names in India, MENA, and SEA. We’re backed by marquee venture capitalists, 30+ angel investors, and operators from top AI, SaaS, and B2B companies. Our founding team comes from IITs, IIMs, BITS Pilani, and global enterprise AI firms. Now, we’re looking for a high-caliber Engineering Manager to help lead the next phase of our engineering evolution. If you’ve ever wanted to build and scale real-world AI systems for global use cases—this is your shot. 🎯 Role Overview As Engineering Manager at Darwix AI, you will be responsible for leading and managing a high-performing team of backend, frontend, and DevOps engineers. You will directly oversee the design, development, testing, and deployment of new features and system enhancements across Darwix’s AI-powered product suite. This is a hands-on technical leadership role , requiring the ability to code when needed, conduct architecture reviews, resolve blockers, and manage the overall engineering execution. You’ll work closely with product managers, data scientists, QA teams, and the founders to deliver on roadmap priorities with speed and precision. You’ll also be responsible for building team culture, mentoring developers, improving engineering processes, and helping the organization scale its tech platform and engineering capacity. 🔧 Key Responsibilities1. Team Leadership & Delivery Lead a team of 6–12 software engineers (across Python, PHP, frontend, and DevOps). Own sprint planning, execution, review, and release cycles. Ensure timely and high-quality delivery of key product features and platform improvements. Solve execution bottlenecks and ensure clarity across JIRA boards, product documentation, and sprint reviews. 2. Architecture & Technical Oversight Review and refine high-level and low-level designs proposed by the team. Provide guidance on scalable architectures, microservices design, performance tuning, and database optimization. Drive migration of legacy PHP code into scalable Python-based microservices. Maintain technical excellence across deployments, containerization, CI/CD, and codebase quality. 3. Hiring, Coaching & Career Development Own the hiring and onboarding process for engineers in your pod. Coach team members through 1:1s, OKRs, performance cycles, and continuous feedback. Foster a culture of ownership, transparency, and high-velocity delivery. 4. Process Design & Automation Drive adoption of agile development practices—daily stand-ups, retrospectives, sprint planning, documentation. Ensure production-grade observability, incident tracking, root cause analysis, and rollback strategies. Introduce quality metrics like test coverage, code review velocity, time-to-deploy, bug frequency, etc. 5. Cross-functional Collaboration Work closely with the product team to translate high-level product requirements into granular engineering plans. Liaise with QA, AI/ML, Data, and Infra teams to coordinate implementation across the board. Collaborate with customer success and client engineering for debugging and field escalations. 🔍 Technical Skills & Stack🔹 Primary Languages & Frameworks: Python (FastAPI, Flask, Django) PHP (legacy services; transitioning to Python) TypeScript, JavaScript, HTML5, CSS3 Mustache templates (preferred), React/Next.js (optional) 🔹 Databases & Storage: MySQL (primary), PostgreSQL MongoDB, Redis Vector DBs: Pinecone, FAISS, Weaviate (RAG pipelines) 🔹 AI/ML Integration: OpenAI APIs, Whisper, Wav2Vec, Deepgram Langchain, HuggingFace, LlamaIndex, LangGraph 🔹 DevOps & Infra: AWS EC2, S3, Lambda, CloudWatch Docker, GitHub Actions, Nginx Git (GitHub/GitLab), Jenkins (optional) 🔹 Monitoring & Testing: Prometheus, Grafana, Sentry PyTest, Selenium, Postman ✅ Candidate Profile👨‍💻 Experience: 7–12 years of total engineering experience in high-growth product companies or startups. At least 2 years of experience managing teams as a tech lead or engineering manager. Experience working on real-time data systems, microservices architecture, and SaaS platforms. 🎓 Education: Bachelor’s or Master’s degree in Computer Science or related field. Preferred background from Tier 1 institutions (IITs, BITS, NITs, IIITs). 💼 Traits We Love: You lead with clarity, ownership, and high attention to detail. You believe in building systems—not just shipping features. You are pragmatic and prioritize team delivery velocity over theoretical perfection. You obsess over latency, clean interfaces, and secure deployments. You want to build a high-performing tech org that scales globally. 🌟 What You’ll Get Leadership role in one of India’s top GenAI startups Competitive fixed compensation with performance bonuses Significant ESOPs tied to company milestones Transparent performance evaluation and promotion framework A high-speed environment where builders thrive Access to investor and client demos, roadshows, GTM huddles, and more Annual learning allowance and access to internal AI/ML bootcamps Founding-team-level visibility in engineering decisions and product innovation 🛠️ Projects You’ll Work On Real-time speech-to-text engine in 11 Indian languages AI-powered live nudges and agent assistance in B2B sales Conversation summarization and analytics for 100,000+ minutes/month Automated call scoring and custom AI model integration Multimodal input processing: audio, text, CRM, chat Custom knowledge graph integrations across BFSI, real estate, retail 📢 Why This Role Matters This is not just an Engineering Manager role. At Darwix AI, every engineering decision feeds directly into how real sales teams close deals. You’ll see your work powering real-time customer calls, nudging field reps in remote towns, helping CXOs make hiring decisions, and making a measurable impact on enterprise revenue. You’ll help shape the core technology platform of a company that’s redefining how humans and machines interact in sales. 📩 How to Apply Email your resume, GitHub/portfolio (if any), and a few lines on why this role excites you to: 📧 people@darwix.ai Subject: Application – Engineering Manager – [Your Name] If you’re a technical leader who thrives on velocity, takes pride in mentoring developers, and wants to ship mission-critical AI systems that power revenue growth across industries, this is your stage . Join Darwix AI. Let’s build something that lasts. Show more Show less

What you'll be doing Designing and delivering the technical elements of our analytics projects Applying descriptive and predictive analytics techniques including but not limited to: customer segmentation, market basket analysis, topic & sentiment analysis, predictive modelling / machine learning models and data visualization, Simplifying complex analysis into clear and compelling recommendations that enable the project team to achieve our client’s desired outcomes Co-ordinating integration, structuring, visualization and data analysis activities Actively contributing to exchanges and sharing of best practices related to data Developing efficient operations processes for high availability of Global Data platform Work as part of our global team; our operational, Insight and IT teams work together to solve data challenges What experience you'll need Minimum 4 years’ experience working with the data as a data scientist Have worked on cloud computing environments such as Azure, GCP or AWS Experience working with large datasets and build data models Advanced knowledge of machine learning techniques e.g., forecasting, recommender engine, predictive modelling, clustering Experience working with text mining e.g. building topics, sentiments, summarization etc. use cases Advanced knowledge of python Experience working with GenAI, large language models Experience building, testing and deploying data visualization dashboards (PowerBI/tableau) Show more Show less

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA The Technical Services Implementation Engineer (L3) is a seasoned engineering role, responsible for providing technical support to clients. This includes remotely supporting clients within service level agreements (SLAs); to install and configure software and hardware, resolve incidents, perform root cause analysis and adhere to any related processes such as change management. This role is involved in more complex environments for installation, configuration and fault management. What You'll Be Doing Experience of 8-12 years in networking domain with basic and Advanced routing/switching skills in the field role. Should be able to Implement Routing&Switching, SD-WAN, SP, Datacenter related projects. Create network documentation LLD and AS-BUILD, SOPs for the deployments. Performing analysis of network needs and contributes to design (Low Level Design), integration, and installation of Network hardware and software. Routing and Switching: FHRP, Spanning-tree, Stacking, VSS, VPC. BGP, OSPF, EIGRP,Static Routing, PBR, VRF, MPLS, DMVPN, GRE Tunnels, Route Redistribution, Summarization, Route filtering, PAT ,NAT, Netflow. Should be having excellent knowledge on L3 routing, VRF & Switching for troubleshooting, implementation and optimizing network deployment. Datacentre : Nexus(VDC, VPCs, FEXs, VxLan). ACI ( Spine and Leaf , APICs, Tenants, VRFs, BDs, EPGs, L2 Outs, L3 Outs, L4-7 services) SDWAN : Configuration and deployment of SD-WAN controllers Good understanding of SD-Wan components like , vSmart Controller,vManage NMS,vBond Orchestrator,vEdge Routers Implementation of controllers data policies & operations job in field Implementation of DIA , Dynamic tunnels. Qos deployment Able to handle SD-wan operations. Cisco Catalyst Switches, Nexus Switches, ISR, ASR Routers. Cisco SD-WAN(Viptela), Silverpeak(Aruba), Meraki. Requirements: 8-12 year’s work experience. Ready to work in Field role Location: Delhi/NCR BE/B.Tech degree, MCA or equivalent preferred Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

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

Job Title: Data Scientist – Renewable Energy Location: Gurugram Experience Required: 1–3 years Preferred Educational Background: Tier 1 Engineering Colleges 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 7976457434 𝐬𝐮𝐫𝐞𝐬𝐡.𝐛@𝐬𝐲𝐧𝐚𝐩𝐨𝐧𝐞.𝐜𝐨𝐦 About the Role We are seeking a passionate and skilled Data Scientist to join our team in driving data-led innovation within the renewable energy sector . The selected candidate will play a pivotal role in developing advanced forecasting models, automating data workflows, building scalable data pipelines, and utilizing Generative AI to enhance decision-making and operational efficiency. Key Responsibilities Develop and deploy machine learning models for power generation forecasting, asset performance prediction, and anomaly detection Build and maintain automation scripts for data extraction, transformation, and reporting using Python, Selenium, and web scraping tools Design, develop, and integrate REST APIs to enable seamless data flow across internal and external systems Deliver end-to-end data science solutions , from requirement gathering and PRD creation to model deployment and performance monitoring Leverage Generative AI for report generation, development of chatbot interfaces, and document summarization Collaborate with domain experts and stakeholders to identify high-impact use cases and convert them into actionable data science initiatives Monitor, evaluate, and fine-tune model performance and maintain technical documentation Work with large, complex datasets from SCADA systems , energy meters, weather data sources, and market exchanges Key Skills Required Strong programming skills in Python with hands-on experience using libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch Proficiency in Machine Learning and Time-Series Forecasting methods Practical experience with web scraping tools like Selenium and BeautifulSoup Sound understanding of API development and integration best practices Experience in developing and maintaining automated data pipelines ; familiarity with Git and basic DevOps tools Excellent analytical and problem-solving abilities, with strong communication skills to articulate technical concepts to non-technical audiences Preferred Qualifications B.Tech/B.E. from a recognized Tier 1 engineering institution 1–3 years of hands-on experience in data science, machine learning, or analytics roles Exposure to or a strong interest in the renewable energy domain—solar, wind, grid operations, or energy trading Familiarity with dashboarding tools such as Power BI or Tableau (preferred, not mandatory) Show more Show less

This role is for one of our clients Industry: Technology, Information and Media Seniority level: Mid-Senior level Min Experience: 3 years Location: Bengaluru JobType: full-time We are on the lookout for a Machine Intelligence Specialist to join our forward-thinking engineering team. This role is ideal for individuals passionate about building intelligent systems that transform raw data into real-world automation through advanced natural language processing (NLP), computer vision, and machine learning technologies. You will lead initiatives involving deep learning, model deployment, and system optimization, contributing to high-impact products across domains. If you're energized by turning cutting-edge AI research into practical solutions, this is your opportunity to make a difference. Your Mission Design and Develop Intelligent Systems : Create robust machine learning models for tasks in NLP (e.g., text summarization, named entity recognition, semantic search) and computer vision (e.g., image classification, OCR, object detection). Deep Learning Engineering : Build and optimize models using TensorFlow, Keras, or PyTorch, leveraging neural architectures such as CNNs, RNNs, LSTMs, and Transformers. Collaborative Innovation : Partner with product, data, and engineering teams to align AI development with real business needs, ensuring seamless integration of intelligence into products and workflows. Cloud-Native Deployment : Implement and scale ML models on AWS, Azure, or GCP using native services and containerization tools (Docker, Kubernetes). AI at Scale : Drive performance tuning, data preprocessing, A/B testing, and continuous training to ensure accuracy and production reliability. Model Lifecycle Ownership : Implement MLOps best practices, including CI/CD pipelines for ML, model versioning, and monitoring using tools like MLflow or SageMaker. Ethical & Transparent AI : Prioritize explainability, fairness, and compliance throughout the model development lifecycle. What You Bring Essential Qualifications 3+ years of hands-on experience in designing, training, and deploying machine learning models. Strong background in Python and ML libraries: TensorFlow, Keras, OpenCV, scikit-learn, Hugging Face Transformers, etc. Experience in both NLP and computer vision use cases and toolkits. Proven ability to deploy models using cloud-native AI tools on AWS, Azure, or GCP. Familiarity with containerization (Docker) and orchestration (Kubernetes). Solid foundation in mathematics, statistics, and deep learning algorithms. Excellent communication skills and a collaborative mindset. Bonus Points For Experience with MLOps workflows and tools like MLflow, TFX, or Kubeflow. Exposure to edge AI or streaming inference systems. Understanding of responsible AI principles and data governance. Show more Show less