2079 Reinforcement Jobs - Page 28

Role: Machine Learning Engineer – Large Language Models Roles And Responsibilities: Design, develop, and deploy large-scale language models for a range of NLP tasks such as text generation, summarization, question answering, and sentiment analysis. Fine-tune pre-trained models (e.g., GPT, BERT, T5) on domain-specific data to optimize performance and accuracy. Collaborate with data engineering teams to collect, preprocess, and curate large datasets for training and evaluation. Experiment with model architectures, hyperparameters, and training techniques to improve model efficiency and performance. Develop and maintain pipelines for model training, evaluation, and deployment in a scalable and reproducible manner. Implement and optimize inference solutions to ensure models are performant in production environments. Monitor and evaluate model performance in production, making improvements as needed. Document methodologies, experiments, and findings to share with stakeholders and other team members. Stay current with advancements in LLMs, NLP, and machine learning, and apply new techniques to existing projects. Collaborate with product managers to understand project requirements and translate them into technical solutions. 3+ years of experience in machine learning and natural language processing. Proven experience working with LLMs (such as GPT, BERT, T5, etc.) in production environments Demonstrated experience fine-tuning and deploying large-scale language models. Technical Skills: Proficiency in Python and experience with ML libraries and frameworks such as PyTorch ,TensorFlow, Hugging Face Transformers, etc. Strong understanding of deep learning architectures (RNNs, CNNs, Transformers) and hands-on experience with Transformer-based architectures. Familiarity with cloud platforms (AWS, GCP, Azure) and experience with containerization tools like Docker and orchestration with Kubernetes. Experience with data preprocessing, feature engineering, and data pipeline development. Knowledge of distributed training techniques and optimization methods for handling large datasets. Soft Skills: Excellent communication and collaboration skills, with an ability to work effectively across interdisciplinary teams. Strong analytical and problem-solving skills, with attention to detail and a passion for continuous learning. Ability to work independently and manage multiple projects in a fast-paced, dynamic environment. Preferred Qualifications: Experience with prompt engineering and techniques to maximize the effectiveness of LLMs in various applications. Knowledge of ethical considerations and bias mitigation techniques in language models. Familiarity with reinforcement learning, especially RLHF (Reinforcement Learning from Human Feedback) Experience with model compression and deployment techniques for resource-constrained environments. Contributions to open-source projects or publications in reputable machine learning journals. Professional development opportunities, including access to conferences, workshops, and training programs. A collaborative, inclusive work culture that values innovation and teamwork Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. Primary skills (Must have): Python PyTorch, TensorFlow, Hugging Face Transformers Familiarity in cloud platforms-AWS, GCP, Azure docker, kubernetes Interview Details: Video screening with HR L1 - Technical Interview L2 - Technical and HR Round Note: Candidate must have own laptop. Must follow Kuwait calendar. Working Hours: 11:30 AM to 7:30 PM. Working days : Sunday to Thursday.

Job Title: Quantitative Researcher Location: Remote / Hybrid Type: Full-time Experience: 3+ Compensation: USDT only | Based on skill and performance We are seeking a skilled Quantitative Researcher to join our team in developing advanced algorithmic trading strategies for cryptocurrency markets. You will leverage deep quantitative skills, market insights, and statistical modeling to research, design, and test trading strategies that capture alpha in digital asset markets. Key Responsibilities Research and develop quantitative trading strategies for crypto markets across spot, perpetual futures, and derivatives. Analyze market microstructure, order flow, and liquidity to identify trading opportunities. Design and implement statistical and machine learning models for signal generation, risk forecasting, and anomaly detection. Perform extensive backtesting, simulation, and performance analysis using historical and live data. Optimize strategies for execution costs, slippage, latency, and market impact. Collaborate with developers to translate research into production-grade algorithmic trading systems. Monitor live strategies and conduct post-trade analysis to refine and improve models. Stay updated on market trends, blockchain analytics, protocol updates, and evolving market structure. Contribute to research documentation, strategy reports, and knowledge sharing within the team. Required Skills and Qualifications Strong background in quantitative research, statistical modeling, or applied mathematics. Solid programming skills in Python, R, or similar languages for data analysis and prototyping. Experience with time series analysis, signal processing, and statistical inference. Ability to work with large datasets; proficiency in data cleaning, feature engineering, and data visualization. Understanding of trading concepts such as PnL attribution, Sharpe ratio, drawdown, and risk management. Interest in cryptocurrency markets and familiarity with crypto-specific market dynamics. Excellent problem-solving and critical-thinking skills. Ability to communicate complex quantitative ideas clearly to technical and non-technical stakeholders. Preferred Qualifications Prior experience in algorithmic trading or systematic strategy development (crypto or traditional markets). Knowledge of crypto market microstructure, DeFi protocols, and blockchain data analytics. Familiarity with exchange APIs, order types, and execution logic. Experience with backtesting frameworks and simulation environments. Machine learning experience applied to financial markets (e.g. feature selection, ensemble models, reinforcement learning). Academic background in quantitative disciplines (e.g. Mathematics, Statistics, Physics, Computer Science, Engineering, Finance).

Job Description Group Manager Process Training – 1. Lead, train, evaluate new hires in the system 2. Plan and manage internal reinforcement and refresher trainings and feedback sessions on monthly basis 3. Work collaboratively and conduct TNA/TNI with the Quality and Operations team to identify training needs 4. Interact with client on weekly basis 5. Manage content on the Learning Management System and create training SOPs 6. Identify process gaps and fix them through process changes, refresher trainings, etc. 7. Optimize training processes for efficiency and analyze training effectiveness 8. Plan and implement training programs that will prepare employees for the next level in the domain 9. Implement training KPIs, prepare and present reports on the same 10. Storyboard and prepare learning materials for programs 11. Coach and provide feedback to trainees on their performance in class and on shop floor 12. Create new training content and update existing content to support new hires and existing staff on the floor 13. Class records to be maintained and reports/dashboards to be published to leadership on regular basis 14. Research new training methods and implement them Qualifications 1. Sound knowledge of travel domain – Reservation and Ticketing, Customer Relations; someone who has full exposure to the airline and travel agency world 2. Overall travel experience of more than 12 years with experience in different domains like Guest Relations, Ticketing 3. Classroom training experience with coaching and feedback of more than 6 years in reservation and ticketing 4. Should have used new age training methodologies to train batches and be aware of various training approaches 5. Should have new hire training experience with adequate coaching and feedback opportunities 6. Ability to conduct TNA/TNI and draw up relevant training plan and training content 7. Good people management and organizational skills 8. Good knowledge of MS Office – PowerPoint, Excel and Word 9. Excellent communication skills 10. Should be able to work on multiple projects at the same time and plan and prioritize tasks 11. Should be able to work in shifts if required by the Operating teams or Clients 12. Should have completed graduation or a similar degree

About the Role We’re hiring a Code Reviewer with deep Python expertise to review evaluations completed by data annotators assessing AI-generated Python code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality. Responsibilities Review and audit annotator evaluations of AI-generated Python code. Assess if the Python code follows the prompt instructions, is functionally correct, and secure. Validate code snippets using proof-of-work methodology. Identify inaccuracies in annotator ratings or explanations. Provide constructive feedback to maintain high annotation standards. Work within Project Atlas guidelines for evaluation integrity and consistency. Required Qualifications 7+ years of experience in Python development, QA, or code review. Strong knowledge of Python syntax, debugging, edge cases, and testing. Comfortable using code execution environments and testing tools. Excellent written communication and documentation skills. Experience working with structured QA or annotation workflows. English proficiency at B2, C1, C2, or Native level. Preferred Qualifications Experience in AI training, LLM evaluation, or model alignment. Familiarity with annotation platforms. Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines. Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your Python expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation.

Software Engineer, AI — Code Evaluation & Training (Remote) List of accepted countries and locations Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages: Compare & rank multiple code snippets , explaining which is best and why. Repair & refactor AI-generated code for correctness, efficiency, and style. Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly. End result: the model learns to propose, critique, and improve code the way you do. RLHF in one line Generate code ➜ expert engineers rank, edit, and justify ➜ convert that feedback into reward signals ➜ reinforcement learning tunes the model toward code you’d actually ship. What You’ll Need 3+ years of professional software engineering experience in .NET (Constraint programming experience is a bonus, but not required) Strong code-review instincts —you can spot logic errors, performance traps, and security issues quickly. Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is better than another. This cannot be overstated. You enjoy reading documentation and language specs and thrive in an asynchronous, low-oversight environment. What You Don’t Need No prior RLHF (Reinforcement Learning with Human Feedback) or AI training experience. No deep machine learning knowledge. If you can review and critique code clearly, we’ll teach you the rest. Tech Stack We are looking for engineers with a strong command of .NET and Docker . Logistics Location: Fully remote — work from anywhere Compensation: From $30/hr to $70/hr, depending on location and seniority Hours: Minimum 15 hrs/week, up to 40 hrs/week available Engagement: 1099 contract Straightforward impact, zero fluff. If this sounds like a fit, apply here!

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. About Worldquant Braintm BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and provide global remote-work opportunities to participants, while they learn quant finance, AI and ML concepts. WorldQuant Brain provides an advanced crowdsourcing platform for external participants to contribute signals, data, and more. The Role: WorldQuant is seeking exceptional individuals to join as AI Researchers. In this full-time role, you will work in of Artificial Intelligence (AI) and Large Language Models (LLMs), applying techniques to develop quantitative models for WorldQuant’s BRAIN platform. As Part Of This Role, You Will Conduct research in AI and LLMs, experimenting with advanced architectures such as Transformer models, Reinforcement Learning, and Generative AI. Design, train, and fine-tune LLMs and other AI models to extract insights, and generate signals Apply AI concepts to create and enhance alphas on the BRAIN platform. Analyze large-scale financial datasets to seek to uncover patterns and build models using statistical, mathematical, and machine learning techniques. Collaborate with platform development teams to design and test new functionalities and datasets. Stay updated on the latest advancements in AI and LLM research, identifying opportunities to integrate them into quantitative finance applications. What You’ll Bring Technical Expertise: Strong knowledge and hands-on experience in AI, Machine Learning (ML), and LLMs; proficiency in Python and C++; familiarity with PyTorch or TensorFlow. Quantitative Skills: Solid foundation in mathematics, statistics, and quantitative modeling; experience with financial datasets is a plus. Educational Background: Bachelor’s or advanced degree in Computer Science, AI, Mathematics, Financial Engineering, or related fields from a leading university. Research Mindset: Creative problem solver with a passion for experimentation and unsolved challenges; strong interest in financial markets. Collaborative Skills: Ability to work in a team-oriented culture; excellent communication and presentation skills in English. [1] WorldQuant defines alphas as mathematical models that seek to predict the future price movements of various financial instruments By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

About Artificial Brain Artificial Brain is a pioneering technology company at the forefront of quantum computing and artificial intelligence. We are dedicated to pushing the boundaries of innovation by developing cutting-edge quantum solutions integrated with advanced machine learning techniques. Join our dynamic team in Pune to shape the future of quantum technology. Role Overview We are seeking a highly skilled and motivated Quantum Engineer to join our R&D team in Pune. The ideal candidate will have extensive expertise in both gate-based and annealing quantum computing approaches, combined with a strong background in machine learning. This role will focus on conducting advanced research and development to design, implement, and optimize quantum algorithms and systems for real-world applications. Key Responsibilities Quantum Algorithm Development : Design and develop quantum algorithms using gate-based and annealing quantum computing frameworks to solve complex computational problems. Machine Learning Integration : Integrate quantum computing solutions with machine learning models to enhance the performance and scalability of AI-driven applications. Research & Development : Conduct cutting-edge research to explore novel quantum computing techniques, hybrid quantum-classical algorithms, and their applications. System Optimization : Optimize quantum circuits and annealing schedules for performance, scalability, and error mitigation on various quantum hardware platforms. Collaboration : Work closely with cross-functional teams, including data scientists, software engineers, and physicists, to develop and deploy quantum-enhanced solutions. Prototyping & Testing : Build and test prototypes of quantum algorithms and systems, ensuring robustness and accuracy in real-world scenarios. Documentation & Reporting : Document research findings, prepare technical reports, and present results to internal teams and external stakeholders. Stay Updated : Keep abreast of the latest advancements in quantum computing, machine learning, and related fields to drive innovation. Required Qualifications Education : Master’s or Ph.D. in Quantum Computing, Physics, Computer Science, Electrical Engineering, or a related field. Experience : 2+ years of hands-on experience in quantum computing, with expertise in both gate-based quantum computing (e.g., Qiskit, Cirq, or similar) and quantum annealing (e.g., D-Wave). Proven experience in applying machine learning techniques (e.g., supervised/unsupervised learning, deep learning, reinforcement learning) to real-world problems. Strong track record in research and development, preferably in quantum computing or a related field. Technical Skills : Proficiency in the Python programming language. Familiarity with quantum computing frameworks (e.g., Qiskit, Cirq) and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of quantum hardware platforms and their limitations (e.g., IBM Quantum, Google Quantum, D-Wave). Experience with hybrid quantum-classical algorithms and optimization techniques. Research Skills : Ability to conduct independent research, analyze complex datasets, and publish findings in peer-reviewed journals or conferences. Soft Skills : Strong problem-solving skills, excellent communication, and ability to work collaboratively in a fast-paced, interdisciplinary environment. Preferred Qualifications Experience with quantum machine learning (QML) algorithms and frameworks. Familiarity with cloud-based quantum computing platforms (e.g., AWS Braket, Azure Quantum). Prior work on quantum error correction or noise mitigation techniques. Contributions to open-source quantum computing or ML projects. Published research papers or patents in quantum computing or related fields. Why Join Artificial Brain? Innovative Environment : Work on groundbreaking projects at the intersection of quantum computing and artificial intelligence. Impactful Work : Contribute to transformative technologies that have the potential to revolutionize industries. Growth Opportunities : Access to continuous learning, professional development, and collaboration with world-class experts. Inclusive Culture : Be part of a diverse and inclusive team that values creativity, curiosity, and innovation. Location This position is based in Pune, India , with opportunities for onsite in the UAE and the U.S., depending on project requirements.

About Company: Our Client is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Client helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is Client talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Client—based in San Francisco, California—was named #1 on The Information's annual list of "Top 50 Most Promising B2B Companies," and has been profiled by Fast Company, TechCrunch, Reuters, Semafor, VentureBeat, Entrepreneur, CNBC, Forbes, and many others. Client leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, X, Stanford, Caltech, and MIT. Job Title: Python Developer Location: Remote Note: Candidate should be comfortable to work for US Shifts/Night Shifts Interview Mode: Virtual (Two rounds of interviews (60 min technical + 30 min technical & cultural discussion) Client: Turing Experience: 5+ yrs Job Type : Contract to hire. Notice Period:- Immediate joiners. Roles and Responsibilities: Analyze and triage GitHub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects. Required Skills: Minimum 5+ years of overall experience Strong experience with at least one of the following languages: Python Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.

General information Country India State Telangana City Hyderabad Job ID 44314 Department Development Description & Requirements Summary: As an AI/ML Developer, you’ll play a pivotal role in creating and delivering cutting-edge enterprise applications and automations using Infor’s AI, RPA, and OS platform technology. Your mission will be to identify innovative use cases, develop proof of concepts (PoCs), and deliver enterprise automation solutions that elevate workforce productivity and improve business performance for our customers. Key Responsibilities: Use Case Identification: Dive deep into customer requirements and business challenges. Identify innovative use cases that can be addressed through AI/ML solutions. Data Insights: Perform exploratory data analysis on large and complex datasets. Assess data quality, extract insights, and share findings. Data Preparation: Gather relevant datasets for training and testing. Clean, preprocess, and augment data to ensure suitability for AI tasks. Model Development: Train and fine-tune AI/ML models. Evaluate performance using appropriate metrics and benchmarks, optimizing for efficiency. Integration and Deployment: Collaborate with software engineers and developers to seamlessly integrate AI/ML models into enterprise systems and applications. Handle production deployment challenges. Continuous Improvement: Evaluate and enhance the performance and capabilities of deployed AI products. Monitor user feedback and iterate on models and algorithms to address limitations and enhance user experience. Proof of Concepts (PoCs): Develop PoCs to validate the feasibility and effectiveness of proposed solutions. Showcase the art of the possible to our clients. Collaboration with Development Teams: Work closely with development teams on new use cases. Best Practices and Requirements: Collaborate with team members to determine best practices and requirements. Innovation: Contribute to our efforts in enterprise automation and cloud innovation. Key Requirements: Experience: A minimum 3 years of hands-on experience in implementing AI/ML models in enterprise systems. AI/ML Concepts: In-depth understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Languages: Proficiency in Python or R, along with querying languages like SQL. Data Handling: Ability to work with large datasets, perform data preprocessing, and wrangle data effectively. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML for implementing ML solutions is highly preferred. Frameworks and Libraries: Familiarity with scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking abilities to identify problems, formulate hypotheses, and design experiments. Business Process Understanding: Good understanding of business processes and how they can be automated. Domain Expertise: Familiarity with Demand Forecasting, Anomaly Detection, Pricing, Recommendation, or Analytics solutions. Global Project Experience: Proven track record of working with global customers on multiple projects. Customer Interaction: Experience facing customers and understanding their needs. Communication Skills: Excellent verbal and written communication skills. Analytical Mindset: Strong analytical and problem-solving skills. Collaboration: Ability to work independently and collaboratively. Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or specialization in AI, ML, Statistics & Probability, Deep Learning, Computer Vision, or NLP/NLU is advantageous. About Infor Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. For more information visit www.infor.com Our Values At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future. We have a relentless commitment to a culture based on PBM. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees. Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the infor.com/about/careers webpage.

Role : Juniper AI SME. Experience : 6 - 8 Years. Start Date : immediate 15 Days. Location : Type : Full-time. Job Summary We are seeking a highly skilled and innovative AI Solutions Specialist to lead the design, development, and deployment of AI-driven solutions tailored to complex business challenges. The ideal candidate will be responsible for building scalable, ethical, and cutting-edge AI/ML systems, collaborating with cross-functional teams to implement intelligent solutions, and leveraging industry best practices in data science, machine learning, and cloud-native architectures. Key Responsibilities Lead the development of Data Engineering, Machine Learning (ML), and AI capabilities across the full solution lifecycle. Collaborate with project, data science, and development teams to define and implement AI/ML technical roadmaps. Engage with stakeholders to identify AI/ML opportunities aligned with business needs. Architect and implement scalable AI solutions integrated with existing systems and infrastructure. Design, train, test, and optimize machine learning models and AI algorithms. Evaluate third-party AI tools, APIs, and platforms for potential integration. Develop technical documentation, solution architecture, and proof-of-concept prototypes. Partner with data engineering teams to ensure data availability, quality, and integrity. Monitor AI models in production, ensuring continuous learning, tuning, and performance improvement. Uphold responsible AI practices, including bias mitigation, explainability, and data privacy. Communicate AI strategy and progress to both technical and business stakeholders. Continuously research and apply the latest AI trends, techniques, and tools. Work within MLOps frameworks and deployment pipelines including Docker, MLflow, and CI/CD. Technical Skills & Tools Expertise in machine learning libraries and frameworks : TensorFlow, PyTorch, Scikit-learn. Juniper AI SMEProficient in programming : Python Familiarity with AI/ML platforms : AWS SageMaker, Azure ML, Google Vertex AI, Databricks, Snowflake Infrastructure & deployment tools : Docker, Kubernetes, Terraform, Ansible, Prometheus, Grafana, ELK Data technologies : Hadoop, Spark, Kafka, SQL, NoSQL, Postgres, Cassandra, Elastic Search. CRM and enterprise systems : Salesforce Experience in data preprocessing, feature engineering, and model evaluation. Exposure to Generative AI, LLMs (e.g., GPT, diffusion models), and deep learning techniques. Experience with natural language processing (NLP), computer vision, or reinforcement learning. Knowledge of Junos OS architecture, including its operational and feature-specific nuances. Preferred Qualifications Publications, patents, or open-source contributions in AI/ML. Proven leadership in building AI systems at scale Excellent analytical, communication, and stakeholder engagement skills Experience. Minimum 6-8 years in data & analytics with strong focus on AI/ML, data platforms, and data engineering Experience in leading architecture and infrastructure for end-to-end AI/ML lifecycle management. Deep understanding of technology trends, architectures, and integration strategies in AI. Hands-on expertise in predictive modeling, NLP, deep learning, and information retrieval. (ref:hirist.tech)

Who We Are Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. Who You Are We are seeking a highly motivated Senior Data Scientist with strong technical expertise, business acumen, and strategic problem-solving abilities . In this role, you will independently own and build forecasting models. You will work closely with stakeholders across Product, Data Engineering & Analytics, and Business Strategy to identify opportunities to resolve business problems. This is a high-impact individual contributor role. What You’ll Do Work in a dynamic and innovative company to develop cutting-edge solutions. Perform advanced data analytics to influence decision makers. Leverage data from diverse sources to provide insights and build new data driven tools. Partner with engineering teams to continuously improve our data quality. Develop machine learning based applications using supervised and unsupervised models using Python that optimize and personalize customer experiences or reduce manual effort on our internal teams through automated decision making. Develop and support models to enable things such as prescriptive insights, automated decisioning, and insights. Develop experiments to understand model impact, monitor live model analytics, and manage training and retraining pipelines. Work with stakeholders to intake complicated business problems and translate them into solvable data science projects. Partner with data engineering to take your model from development to deployed infrastructure. Brainstorm future use cases and contribute to the learning culture of the data science team. Partner with and mentor other data scientists and data analysts. Partner with multiple marketing teams, manage multiple projects and help conceptualize applications that directly drive company growth and strategy. You will connect machine learning applications to business needs and help facilitate process changes based on algorithmic solution implementation. What You’ll Need You have Data Science experience building and validating machine learning and forecasting models in Python for a minimum of 5 years. You love performing advanced analytics to find insights and patterns. You have experience in supervised and unsupervised model techniques such as random forest, gradient boosting, support vector machines, k-means and hierarchical clustering, causal models, mixture models and experience in advanced modeling techniques such as reinforcement learning, neural networks, and natural language modeling. You have experience in delivering natural language projects utilizing techniques such as text summarization, topic modeling, entity extraction, semantic encoding, and valence analysis You have experience working in an agile business setting. You have experience with relational cloud databases like BigQuery and Snowflake and are comfortable working with unstructured datasets such as unstructured text. WHAT’S IN IT FOR YOU? At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

Job Title: R&D Lead Location: India Employment Type: Full-time Department: EXL AI Innovation Reports To Salary Range: About Us EXL (NASDAQ: EXLS) is a $7 billion public-listed NASDAQ company and a rapidly expanding global digital data-led AI transformation solutions company with double digit growth. EXL Digital unit spearheads the development and implementation of Generative AI (GenAI) business solutions for our clients in Banking & Finance, Insurance, and Healthcare. EXL has partnered with NVIDIA AI Foundry As a global leader in analytics, digital transformation, and AI innovation, EXL is committed to helping clients unlock the potential of generative AI to drive growth, efficiency, and innovation. Job Description If you are a smart, self-motivated Machine Learning Scientist with a passion for advancing the field of Generative AI, we have an excellent opportunity for you. We are seeking candidates with deep expertise in developing and fine-tuning LLMs, RAG, agentic solutions, and knowledge graph technologies to drive innovative solutions in GenAI. You will be at the forefront of pioneering advancements in AI, working alongside some of the brightest minds in an exciting R&D environment to build cutting-edge capabilities that redefine the future of artificial intelligence. Job Responsibilities Develope initiatives in the GenAI domain, focusing on cutting-edge technologies like Large Language Models, Retrieval-Augmented Generation, and autonomous agents. Design and implement advanced workflows for integrating LLMs into real-world applications across various domains such as Finance, Insurance, and Healthcare. Develop and fine-tune domain-specific LLMs to optimize performance, using techniques like prompt engineering, adapter-based tuning, or low-rank adaptation. Drive the development of retrieval-augmented systems by combining LLMs with document retrieval, clustering, and search techniques. Stay at the forefront of AI advancements by reading, adapting, and implementing cutting-edge research to solve real-world challenges. Document research findings, methodologies, and implementations for internal and external stakeholders. Qualifications Experience: 2-5 years in AI/ML research and development, with at least 1-2 years focusing on GenAI, LLMs, or related fields. Education: Master’s or PhD in Computer Science, AI, or a related field from a top-tier institution is highly preferred. Required Skills Core Expertise: Proven experience with Large Language Models (e.g., GPT-4, BERT, LLaMA, PaLM) and fine-tuning them for domain-specific applications. In-depth knowledge of Retrieval-Augmented Generation workflows, including retrieval system design and document store integration. Hands-on experience developing and deploying autonomous agents for complex problem-solving tasks. Tools & Frameworks: Proficiency in deep learning frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. Experience with distributed training and optimization on GPUs and TPUs. Familiarity with cloud ecosystems (AWS, Azure, Google Cloud) practices for scalable deployment. Research & Development: Ability to read and adapt cutting-edge research papers for applied solutions in LLMs and knowledge graphs. Expertise in domain adaptation, few-shot learning, and zero-shot reasoning. Strong understanding of generative models, including VAEs, GANs, or diffusion models, and their integration with LLMs. Problem Solving: Demonstrated ability to address challenges in unstructured data processing, including NLP and multimodal scenarios. Experience with document retrieval, clustering, and unsupervised learning techniques. Preferred Skills Experience with LLM fine-tuning and building Agentic systems for domain LLMs. Experience with reinforcement learning and fine-tuning via RLHF (Reinforcement Learning with Human Feedback). Knowledge of large-scale optimization methods for model training and inference. Familiarity with knowledge distillation and efficient model compression techniques. Strong collaboration and communication skills, with a proven ability to lead teams. Experience with MoE based architecture and knowledge on federated learning.

Overview Shift Timing: 12:00 PM - 09:00 PM CVENT - Manager, Supplier and Venues Solutions (SVS) Customer Marketing Cvent is a leading meetings, events and hospitality technology provider with more than 4,800 employees and nearly 22,000 customers worldwide. Founded in 1999, the company delivers a comprehensive event marketing and management platform for event professionals and offers software solutions to hotels, special event venues and destinations to help them grow their group/MICE and corporate travel business. The DNA of Cvent is our people, and our culture has an emphasis on fostering intrapreneurship - a system that encourages Cventers to think and act like individual entrepreneurs and empowers them to act, embrace risk, and make decisions as if they had founded the company themselves. We foster an environment that promotes agility, which means we don’t have the luxury to wait for perfection. At Cvent, we value the diverse perspectives that each individual brings. Whether working with a team of colleagues or with clients, we ensure that we foster a culture that celebrates differences and builds shared connections. In This Role, You Will About the role: The Cvent Supplier and Venues Solutions (SVS) Customer Marketing team primarily focuses on driving adoption, engagement, retention, advocacy, and expansion for existing Cvent customers. From the moment customers onboard with us to their ongoing engagement with our products, their satisfaction, and their willingness to advocate on our behalf, the SVS Customer Marketing team develops programs that address all these critical stages of the customer journey. This role will focus on driving adoption and relationship-building initiatives with a hand-picked list of top accounts, working closely with strategic account sales leaders, analytics, and client success advisors to design, plan, and implement a C-level engagement strategy that strengthens our position within these accounts. Additionally, this role will focus on deepening relationships with corporate points of contact (POCs) at the account level while driving increased engagement, adoption, and branding initiatives at a property level. This role is based in Gurgaon, India. Key Responsibilities Strategic Account Engagement Drive adoption and deepen relationships with a curated list of top accounts, ensuring a proactive and high-touch marketing approach. Work closely with strategic account sales leaders, analytics teams, and client success advisors to develop and execute C-level engagement strategies within these accounts. Design personalized and scaled marketing programs that drive product adoption, awareness, and advocacy within these top accounts. Corporate & Property-Level Engagement Strengthen engagement with account-level corporate POCs to reinforce Cvent’s value proposition and drive account-wide adoption. Develop and implement marketing strategies that drive localized engagement and brand reinforcement at the property level for multi-property accounts. Identify new opportunities to drive engagement and advocacy within corporate and property-level stakeholders. Marketing & Advocacy Initiatives Develop and execute strategic marketing campaigns tailored to customer lifecycle stages at both the corporate and property levels. Lead Cvent advocacy programs and create opportunities for customers to champion Cvent within their organization and industry. Partner with Demand Generation teams to design and implement customer expansion programs (upsell/cross-sell initiatives). Cross-Functional Collaboration & Execution Partner with Sales, Analytics, Client Success, Product Marketing, and Global Marketing teams to ensure seamless customer experience across the adoption and engagement journey. Utilize various marketing channels (email, social, events, and content) to effectively engage key accounts and their stakeholders. Track, analyze, and report on campaign effectiveness, making data-driven recommendations for optimization. Qualifications Here's What You Need: Bachelor’s degree in marketing, business, or a related field; MBA is a plus. 8+ years of experience in B2B Marketing, with a focus on Customer Marketing, Account-Based Marketing (ABM), or Customer Advocacy. Strong experience in strategic account engagement and relationship-building programs. Proven track record of working with Sales, Customer Success, and Analytics teams to drive C-level engagement initiatives. Strong analytical skills, with the ability to interpret data and optimize marketing strategies. Excellent communication and interpersonal skills to collaborate effectively across teams. Experience with CRM and marketing automation platforms. Hospitality industry and SaaS experience are a plus. Key Attributes Strategic thinker who can translate business objectives into impactful marketing initiatives. Detail-oriented and organized, with strong project management skills. Strong collaboration and relationship-building skills to drive marketing success across teams. A creative and innovative mindset to develop compelling marketing strategies that resonate with top accounts. Ability to thrive in a fast-paced, high-growth environment and adapt to evolving priorities.

Job Title: Mathematics Instructor Locations: Sonipat, Pune (On-site) Institution: Newton School of Technology Experience Required: 2–4 years (Academic or Industry in a Mathematics/Engineering context) Employment Type: Full-time, On-campus About Us Newton School of Technology, in collaboration with Rishihood University (Sonipat) and Ajeenkya DY Patil University (Pune), is reimagining the future of engineering education. Built at the intersection of academic excellence and industry relevance, we are committed to nurturing engineering graduates with a strong foundation in core mathematics and its applications in modern computing disciplines. Through this initiative, we aim to address the employability gap by combining rigorous academic training with real-world exposure. Role Overview We are seeking a dynamic and motivated Mathematics Instructor to join our academic team at Newton School of Technology. The ideal candidate will have a solid foundation in Engineering Mathematics , strong teaching abilities, and a passion for mentoring B.Tech students in a high-impact academic environment. You will play a key role in curriculum design, classroom instruction, lab facilitation , and student mentoring , while also contributing to academic innovation and interdisciplinary collaboration. Key Responsibilities Course Design and Instruction Plan and deliver lectures, tutorials, and assessments in core mathematical subjects including: Calculus, Linear Algebra, Probability & Statistics, Discrete Mathematics, and Optimization Tailor content delivery to match the academic level and learning pace of B.Tech students. Student Mentorship Guide and mentor students through their academic journey. Assist with assignments, projects, and concept reinforcement sessions. Lab and Application Integration Design and lead lab sessions using mathematical tools and software. Integrate theoretical concepts with real-world applications in computing and data science. Curriculum Development and Collaboration Continuously update course content in collaboration with faculty and industry experts. Align mathematical instruction with emerging fields such as AI, ML, Cryptography, and Data Analytics. Research & Innovation Encourage research-based learning and support students in academic or industry-driven research projects. Participate in faculty development and cross-disciplinary academic initiatives. Required Skills & Qualifications: Must-Haves: 2–4 years of teaching or industry experience involving Engineering Mathematics Deep understanding of core topics: Calculus, Linear Algebra, Probability and Statistics, Discrete Mathematics, Optimization. Strong communication and conceptual clarity. Ability to engage students and simplify complex mathematical ideas. Commitment to academic excellence and student-centered learning. Good-to-Haves: Prior experience teaching B.Tech students in a classroom or lab setting. Familiarity with tools such as: Desmos, GeoGebra, MATLAB, R, or Python (NumPy/Matplotlib). Exposure to applied domains: AI/ML, Data Science, Cryptography. Experience with digital platforms for academic delivery (Moodle, Google Classroom, etc.) Perks and Benefits Competitive salary aligned with market standards. Access to state-of-the-art classrooms and mathematics labs. Involvement in cutting-edge curriculum and interdisciplinary learning. Opportunity to contribute to high-impact education in a mission-driven academic environment. Interview Process Round 1 – Technical Assessment: Conceptual test on core mathematics topics and teaching-oriented problem solving. Round 2 – Teaching Demonstration: Mock lecture to assess instructional ability, engagement, and clarity. Round 3 – Final Discussion: Interaction with institutional leadership to assess alignment, motivation, and cultural fit. Be a part of a bold academic mission to shape the next generation of technology leaders. To learn more, visit: Newton School of Technology

Job Summary The ML Engineer acts as the key member of the squad, within IDP Surveillance Hive of Risk and CFCC under Group Functions, supporting the squad members with designing, developing, and deploying new AI/ML solutions to business About Our Architecture, Technology Solutions And App Development Team Want to be part of a team that focuses on what we can do instead of what’s already been done? This is your opportunity. From Blockchain to AWS, deep learning and AI, you’ll work with the tools and platforms that you need to be successful. You’ll have the freedom to decide the different ways you want to grow – whether that’s by gaining diverse skills on a new project or deepening your expertise on innovative tech. Join us and you’ll find diverse paths, projects and people that inspire you to think outside-the-box and change the way people everywhere experience our products and services. About Our Technology And Operations Team Our Technology and Operations (T and O) team is the powerhouse for the Bank. We aim to go further, faster, to ensure we're agile and ready for tomorrow, today. Our diverse network enables us to innovate and build banking solutions that support communities to prosper. We're a place where talented people are encouraged to grow, learn, and thrive, to drive their own career journeys, to reach their full potential. When you work with us, you’re protecting the reputation and legacy of a 170 year organisation and building on it. We’re driven by progress and continuously evolving to ensure we’re agile and ready for tomorrow, today. Key Responsibilities Refinement Work with the product owners or business stakeholders to understand the key problem areas that requires automation via AI/ML solutions. Data collection, EDA, statistical analysis, predictive modelling A/B testing and reporting insights. Document the requirement in form of user stories. Walkthrough the refined user stories with business stakeholders and product owners to confirm the scope. Provides data driven insights for decision- making. Model Development and Training Work with developers to Translate business problems into ML solutions. Selecting appropriate algorithms and frameworks Focus on selecting, training and evaluating ML models Documenting workflows, experiments, and decisions Software Development and MLOps Build Prototype models and hands them off to engineers for deployment. Continuously improving models based on new data and feedback. Training and Documentation Train business users on functionalities and how to use them Prepare and maintain training material, FAQ and other documents on what has been developed, including business processes. Skills And Experience Looking for 9 to 12 years of experience in the following: Strong teamwork skills and ability to work in cross-functional environments. Strong background in business analysis, process automation, or AI-driven transformation Strong understanding of AI Models, autonomous agents, and reinforcement learning, along with experience in prompt engineering, multi-agent systems and AI alignment Knowledge of programming languages like python and should be proficient in Vector DB to store / process Contextual data, SQL(structured data) and NoSQL databases(unstructured data) Solid understanding of the AI/ML frameworks like TensorFlow, PyTorch, LongChain, Keras, and Scikit-learn. Integrating and preparing large-scale datasets for AI and ML model training. Work with product and engineering teams to integrate agentic AI into real-world applications. Knowledge on AI governance, ethical AI , Safety, alignment, and risk mitigation strategies. Qualification Data Engineer - AI/ML About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Job Description: About Us: At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers. Primary Responsibilities: Develop and implement AI and machine learning strategies for several healthcare domains Hands on Experience in AI and drive the development of innovative AI and machine learning solutions Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives Manage the development and deployment of AI and machine learning solutions Develop and run pipelines for data ingress and model output egress. Develop and run scripts for ML model inference. Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions. Identify technical problems and develop software updates and fixes. Develop scripts or tools to automate repetitive tasks. Automate the provisioning and configuration of infrastructure resources. Provide guidance on the best use of specific tools or technologies to achieve desired results. Create documentation for infrastructure design and deployment procedures. Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc. Lead and manage AI/ML teams and projects from ideation to delivery and evaluation. Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models. Proficiency in Python, R, or other programming languages for data analysis and AI/ML development. Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively. Required Qualifications: A bachelor’s/master degree in computer science, engineering, mathematics, statistics, or a related discipline 12+ years of experience in Software Engineering, Data Science, or Analytics with at least 8 years of experience in AI/ML engineering or related fields Experience with cloud platforms and services, such as AWS, Azure, GCP, etc. Experience in developing solutions in the NLP space and relevant projects. Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP. Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering. . Demonstrated experience in leading and managing AI/ML teams and projects, from ideation to delivery and evaluation Familiarity with both open-source and OpenAI LLMs and RAG architecture. Proficient in Python and one of PySpark or Scala. Familiarity with python tools for data processing Ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) Knowledge of NLP literature, thrust areas, conference venues, and code repositories. Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers. Proficiency in libraries such as Hugging Face and OpenAI API. Experience with Azure development environments Proven excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI/ML concepts and results to technical and non-technical audiences Solid analytical, problem-solving, and decision-making skills, with the ability to balance innovation and pragmatism A passion for learning and staying updated with the latest AI/ML trends and research

Highly skilled Senior Machine Learning Engineer with expertise in Deep Learning, Large Language Models (LLMs), and MLOps/LLMOps to design, optimize, and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience in developing and scaling deep learning models, fine-tuning LLMs/ (e.g., GPT, Llama), and implementing robust deployment pipelines for production environments. Responsibilities Model Development & Fine-Tuning: - Design, train, fine-tune and optimize deep learning models (CNNs, RNNs, Transformers) for NLP, computer vision, or multimodal applications. - Fine-tune and adapt Large Language Models (LLMs) for domain-specific tasks (e.g., text generation, summarization, semantic similarity). - Experiment with RLHF (Reinforcement Learning from Human Feedback) and other alignment techniques. Deployment & Scalability (MLOps/LLMOps): - Build and maintain end-to-end ML pipelines for training, evaluation, and deployment. - Deploy LLMs and deep learning models in production environments using frameworks like FastAPI, vLLM, or TensorRT. - Optimize models for low-latency, high-throughput inference (eg., quantization, distillation, etc.). - Implement CI/CD workflows for ML systems using tools like MLflow, Kubeflow. Monitoring & Optimization: - Set up logging, monitoring, and alerting for model performance (drift, latency, accuracy). - Work with DevOps teams to ensure scalability, security, and cost-efficiency of deployed models. Required Skills & Qualifications: - 5-7 years of hands-on experience in Deep Learning, NLP, and LLMs. - Strong proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, and LLM frameworks. - Experience with model deployment tools (Docker, Kubernetes, FastAPI). - Knowledge of MLOps/LLMOps best practices (model versioning, A/B testing, canary deployments). - Familiarity with cloud platforms (AWS, GCP, Azure). Preferred Qualifications: - Contributions to open-source LLM projects.

Role Overview Location: Goa (Project Sites + Head Office) Company: Melhor Group Department: Billing, Projects & Contracts Reports to: Managing Director/Project Manager Role Objective We are looking for a highly skilled, qualified, and proactive Billing Engineer to oversee the entire spectrum of project billing across multiple real estate sites. The ideal candidate will have full knowledge of billing, estimation, planning, scheduling, BBS, contract management, and quality control, and will be responsible for ensuring accurate and timely certification of labor contractor bills. Key Responsibilities Billing & Payment Processing Ensure timely and accurate preparation, certification, and processing of all labor contractor bills. Personally validate quantities, cross-check work done on-site, and coordinate with the site execution team for accurate measurements. Ensure payment requests are generated without delay and in line with work progress. Planning & Scheduling Collaborate with the project management team to create detailed execution schedules using tools such as MS Project or Primavera. Identify slippages, raise alerts, and support the project team with micro-planning interventions as required. Estimation & Costing Prepare and review cost estimates, material requirement sheets, and quantity take-offs. Monitor actual cost vs. estimates and flag deviations to management in a timely manner. Bar Bending Schedule (BBS) & Reinforcement Checking Review and validate BBS issued by structural consultants or site engineers. Coordinate with contractors to ensure steel cutting and placing are as per design. Quality Compliance Before Billing Ensure that quality of work is certified and documented before processing any bills. Work closely with the quality control team to conduct joint checks. Labor Contractor Coordination Work hands-on with labor contractors, helping them raise timely and correct bills. Ensure timely preparation of work orders, contracts, and amendments. Maintain full documentation and adherence to contract terms. Technology and AI Tools Adopt and implement modern AI tools, billing software, ERP platforms, and automation tools like Power BI, Excel Macros, or cloud-based project tracking systems. Drive digital adoption within the billing team and site staff. Leadership & Team Management Lead a junior billing engineer and guide site teams on process, compliance, and best practices. Establish proactive follow-up systems to ensure adherence to timelines. Education B.E./B.Tech in Civil Engineering Mandatory (No Diploma profiles will be considered) Postgraduate Degree in Construction Management / Project Management / Contracts Preferred Experience 8 - 12 years of experience in billing and estimation in real estate, high-rise residential, or villa projects Proven ability to manage billing across multiple active sites Experience with labor contractor models (not turnkey) Technical Skills Strong command over MS Excel, AutoCAD, ERP systems, BBS, and project planning software Knowledge of contract law basics, drafting of work orders, and contractor negotiations Familiarity with modern tech and AI-enabled tools in construction operations Job Type: Full-time Pay: ₹50,000.00 - ₹100,000.00 per month Schedule: Day shift Work Location: In person

Client Type: US Client Location: Remote The hourly rate is negotiable. About the Role We’re creating a new certification: Google AI Ecosystem Architect (Gemini & DeepMind) - Subject Matter Expert . This course is designed for technical learners who want to understand and apply the capabilities of Google’s Gemini models and DeepMind technologies to build powerful, multimodal AI applications. We’re looking for a Subject Matter Expert (SME) who can help shape this course from the ground up. You’ll work closely with a team of learning experience designers, writers, and other collaborators to ensure the course is technically accurate, industry-relevant, and instructionally sound. Responsibilities As the SME, you’ll partner with learning experience designers and content developers to: Translate real-world Gemini and DeepMind applications into accessible, hands-on learning for technical professionals. Guide the creation of labs and projects that allow learners to build pipelines for image-text fusion, deploy Gemini APIs, and experiment with DeepMind’s reinforcement learning libraries. Contribute technical depth across activities, from high-level course structure down to example code, diagrams, voiceover scripts, and data pipelines. Ensure all content reflects current, accurate usage of Google’s multimodal tools and services. Be available during U.S. business hours to support project milestones, reviews, and content feedback. This role is an excellent fit for professionals with deep experience in AI/ML, Google Cloud, and a strong familiarity with multimodal systems and the DeepMind ecosystem. Essential Tools & Platforms A successful SME in this role will demonstrate fluency and hands-on experience with the following: Google Cloud Platform (GCP) Vertex AI (particularly Gemini integration, model tuning, and multimodal deployment) Cloud Functions, Cloud Run (for inference endpoints) BigQuery and Cloud Storage (for handling large image-text datasets) AI Platform Notebooks or Colab Pro Google DeepMind Technologies JAX and Haiku (for neural network modeling and research-grade experimentation) DeepMind Control Suite or DeepMind Lab (for reinforcement learning demonstrations) RLax or TF-Agents (for building and modifying RL pipelines) AI/ML & Multimodal Tooling Gemini APIs and SDKs (image-text fusion, prompt engineering, output formatting) TensorFlow 2.x and PyTorch (for model interoperability) Label Studio, Cloud Vision API (for annotation and image-text preprocessing) Data Science & MLOps DVC or MLflow (for dataset and model versioning) Apache Beam or Dataflow (for processing multimodal input streams) TensorBoard or Weights & Biases (for visualization) Content Authoring & Collaboration GitHub or Cloud Source Repositories Google Docs, Sheets, Slides Screen recording tools like Loom or OBS Studio Required skills and experience: Demonstrated hands-on experience building, deploying, and maintaining sophisticated AI powered applications using Gemini APIs/SDKs within the Google Cloud ecosystem, especially in Firebase Studio and VS Code. Proficiency in designing and implementing agent-like application patterns, including multi-turn conversational flows, state management, and complex prompting strategies (e.g., Chain-of Thought, few-shot, zero-shot). Experience integrating Gemini with Google Cloud services (Firestore, Cloud Functions, App Hosting) and external APIs for robust, production-ready solutions. Proven ability to engineer applications that process, integrate, and generate content across multiple modalities (text, images, audio, video, code) using Gemini’s native multimodal capabilities. Skilled in building and orchestrating pipelines for multimodal data handling, synchronization, and complex interaction patterns within application logic. Experience designing and implementing production-grade RAG systems, including integration with vector databases (e.g., Pinecone, ChromaDB) and engineering data pipelines for indexing and retrieval. Ability to manage agent state, memory, and persistence for multi-turn and long-running interactions. Proficiency leveraging AI-assisted coding features in Firebase Studio (chat, inline code, command execution) and using App Prototyping agents or frameworks like Genkit for rapid prototyping and structuring agentic logic. Strong command of modern development workflows, including Git/GitHub, code reviews, and collaborative development practices. Experience designing scalable, fault-tolerant deployment architectures for multimodal and agentic AI applications using Firebase App Hosting, Cloud Run, or similar serverless/cloud platforms. Advanced MLOps skills, including monitoring, logging, alerting, and versioning for generative AI systems and agents. Deep understanding of security best practices: prompt injection mitigation (across modalities), secure API key management, authentication/authorization, and data privacy. Demonstrated ability to engineer for responsible AI, including bias detection, fairness, transparency, and implementation of safety mechanisms in agentic and multimodal applications. Experience addressing ethical challenges in the deployment and operation of advanced AI systems. Proven success designing, reviewing, and delivering advanced, project-based curriculum and hands-on labs for experienced software developers and engineers. Ability to translate complex engineering concepts (RAG, multimodal integration, agentic patterns, MLOps, security, responsible AI) into clear, actionable learning materials and real world projects. 5+ years of professional experience in AI-powered application development, with a focus on generative and multimodal AI. Strong programming skills in Python and JavaScript/TypeScript; experience with modern frameworks and cloud-native development. Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI, or a related technical field. Ability to explain advanced technical concepts (e.g., fusion transformers, multimodal embeddings, RAG workflows) to learners in an accessible way. Strong programming experience in Python and experience deploying machine learning pipelines Ability to work independently, take ownership of deliverables, and collaborate closely with designers and project managers Preferred: Experience with Google DeepMind tools (JAX, Haiku, RLax, DeepMind Control Suite/Lab) and reinforcement learning pipelines. Familiarity with open data formats (Delta, Parquet, Iceberg) and scalable data engineering practices. Prior contributions to open-source AI projects or technical community engagement.

Job Description Review and approval Plan & Profile, Swept Path of Track Review and approval of Plinth Track Checking of Rail Welding & Grinding of joint Review of Earthing Strip Drawing Review and approval of Welding Plan Review and approval of Reinforcement Bar Bending Schedule Interface with civil works and system contractor Lead in Interface matter Review of different report Make ensure that all design, Method Statement and drawing approval shall be ready for track construction and installation Qualifications B. tech

Position Title: AI Engineer Position Type: Regular - Full-Time Position Location: Gurgaon Requisition ID: 36726 We know food's importance in people's lives—the power it has to bring people, families, and communities together. We aim to bring enjoyment to people’s lives through great-tasting food that reflects our values. BRIEF SUMMARY OF POSITION AND TEAM We are seeking a highly skilled and innovative AI Engineer to lead the design, development, and deployment of advanced Agentic AI and Generative AI (Gen AI) systems. This role is ideal for individuals passionate about building intelligent agents capable of autonomous decision-making and generative models that produce novel content across various modalities, including text, image, audio, and others. The successful candidate will collaborate with cross-functional teams to create next-generation AI solutions that drive business value and technological advancement. Key Responsibilities Agentic AI Development: Design, implement, and optimize autonomous AI agents capable of reasoning, planning, and executing complex tasks with minimal human intervention. Develop frameworks for multi-agent collaboration, negotiation, and coordination. Integrate agentic systems with real-world applications, ensuring robustness, safety, and ethical alignment. Generative AI ( Gen AI ): Research, prototype, and deploy state-of-the-art generative models for content creation in text, image, audio, and video. Fine-tune and customize large language models (LLMs) and other generative architectures to meet specific business and user needs. Implement prompt engineering, retrieval-augmented generation, and evaluation pipelines for Gen AI solutions. Collaboration & Integration: Work closely with product managers, data scientists, and software engineers to integrate AI solutions into products and platforms. Contribute to the development of scalable, production-ready AI systems, including APIs and user interfaces. Research & Innovation: Evaluate emerging tools, platforms, and methodologies to enhance the AI engineering toolkit. Governance & Ethics: Ensure all AI systems adhere to ethical standards, data privacy regulations, and responsible AI practices. Participate in safety audits, bias assessments, and continuous monitoring of deployed models. Qualifications University degree in Computer Science (or related field) or equivalent work experience. At least five years of experience working with programming languages such as Python or equivalent. 3+ years of experience in AI engineering, with demonstrable expertise in agentic systems and generative models. Hands-on experience with prompt engineering, fine-tuning LLMs, or deploying Gen AI in production. Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, etc. Strong understanding of reinforcement learning, multi-agent systems, and large language models. Experience with cloud-based AI services (e.g., AWS, Azure, GCP) and MLOps best practices. Excellent problem-solving, communication, and collaboration skills. Self-directed, independent, and comfortable in fast-paced, ambiguous, and often multi-directional work environments. McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law. McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to find appropriate solutions. Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain’s Global Privacy Policy and Global Employee Privacy Policy , as applicable. You can understand how your personal information is being handled here . Job Family: Information Technology Division: Global Digital Technology Department: Global Data and Analytics Location(s): IN - India : Haryana : Gurgaon Company: McCain Foods(India) P Ltd

Recruitment Fraud Alert We’ve learned that scammers are impersonating Commvault team members—including HR and leadership—via email or text. These bad actors may conduct fake interviews and ask for personal information, such as your social security number. What To Know Commvault does not conduct interviews by email or text. We will never ask you to submit sensitive documents (including banking information, SSN, etc) before your first day. If you suspect a recruiting scam, please contact us at www.recruitingteam@commvault.com. About Commvault Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data. Senior AI Engineer The Opportunity We have an outstanding career opportunity for a Senior AI Engineer in Bengaluru, Hyderabad, and Pune. As an AI Engineer, you will play a pivotal role in developing and implementing innovative AI solutions to enhance customer interactions, streamline processes, and drive overall business growth. We are an extra ordinary engineering team that thrives on innovative ideas! We believe in having a dynamic engineering process but at the same time believe that processes can evolve to enhance Developer efficiencies and capabilities. We take pride in our ability to complete complex projects while delivering exceptional results to our customers. It takes great people to build great software and that’s where you come in! We thrive upon collaboration and focus our efforts on maintaining a strong diverse workforce. We hire individuals from all different backgrounds and experiences and are passionate about equality and integrity. What You’ll Do AI Model Development: Design, develop, and deploy advanced AI models, including machine learning algorithms, natural language processing, and computer vision, to address specific customer experience challenges. Data Analysis: Collect, clean, and analyze large datasets to identify patterns, trends, and insights that inform AI model development and optimization. Customer Experience Integration: Integrate AI solutions seamlessly into our existing customer experience systems and platforms, ensuring a cohesive and personalized customer journey. Algorithm Optimization: Continuously refine and improve AI models to enhance their accuracy, efficiency, and effectiveness in delivering exceptional customer experiences. Proof of Concept (POC) Development: Develop and test AI-powered prototypes and POCs to demonstrate the feasibility and value of proposed solutions. Collaboration: Work closely with cross-functional teams, including product managers, designers, and customer success representatives, to align AI initiatives with business objectives and customer needs. Stay Updated: Keep abreast of the latest advancements in AI technology and industry best practices to ensure our solutions remain cutting-edge. Who You Are Bachelor's degree required. Strong programming skills in Python or other relevant programming languages. Experience with popular AI frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn. In-depth knowledge of machine learning algorithms, including supervised, unsupervised, and reinforcement learning. Experience with natural language processing (NLP) techniques, such as text classification, sentiment analysis, and language generation. Knowledge of cloud platforms (AWS, GCP, Azure) and their AI services. A passion for delivering exceptional customer experiences through innovative AI solutions. Knowledge of customer relationship management (CRM) systems and customer data platforms. Experience with AI-powered chatbots or virtual assistants. Knowledge of ethical AI practices and data privacy regulations. Security and SaaS experience strongly preferred. You’ll Love Working Here Because Employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Annual health check-ups, Car lease Program, and Tuition Reimbursement An inclusive company culture, an opportunity to join our Community Guilds Personal accident cover and Term life cover Ready to #makeyourmark at Commvault? Apply now! Commvault is an equal opportunity workplace and is an affirmative action employer. We are always committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status and we will not discriminate against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we work. Commvault’s goal is to make interviewing inclusive and accessible to all candidates and employees. If you have a disability or special need that requires accommodation to participate in the interview process or apply for a position at Commvault, please email accommodations@commvault.com For any inquiries not related to an accommodation please reach out to wwrecruitingteam@commvault.com. Commvault's Privacy Policy

Required Skills We are looking for an experienced AI Engineer to join our team. The ideal candidate will have a strong background in designing, deploying, and maintaining advanced AI/ML models with expertise in Natural Language Processing (NLP), Computer Vision, and architectures like Transformers and Diffusion Models. You will play a key role in developing AI-powered solutions, optimizing performance, and deploying and managing models in production environments. Key Responsibilities 1. AI Model Development and Optimization: Design, train, and fine-tune AI models for NLP, Computer Vision, and other domains using frameworks like TensorFlow and PyTorch. Work on advanced architectures, including Transformer-based models (e.g., BERT, GPT, T5) for NLP tasks and CNN-based models (e.g., YOLO, VGG, ResNet) for Computer Vision applications. Utilize techniques like PEFT (Parameter-Efficient Fine-Tuning) and SFT (Supervised Fine-Tuning) to optimize models for specific tasks. Build and train RLHF (Reinforcement Learning with Human Feedback) and RL-based models to align AI behavior with real-world objectives., Explore multimodal AI solutions combining text, vision, and audio using generative deep learning architectures. 2. Natural Language Processing (NLP): Develop and deploy NLP solutions, including language models, text generation, sentiment analysis, and text-to-speech systems. Leverage advanced Transformer architectures (e.g., BERT, GPT, T5) for NLP tasks. 3. AI Model Deployment and Frameworks: Deploy AI models using frameworks like VLLM, Docker, and MLFlow in production-grade environments. Create robust data pipelines for training, testing, and inference workflows. Implement CI/CD pipelines for seamless integration and deployment of AI solutions. 4. Production Environment Management: Deploy, monitor, and manage AI models in production, ensuring performance, reliability, and scalability. Set up monitoring systems using Prometheus to track metrics like latency, throughput, and model drift. 5. Data Engineering and Pipelines: Design and implement efficient data pipelines for preprocessing, cleaning, and transformation of large datasets. Integrate with cloud-based data storage and retrieval systems for seamless AI workflows. 6. Performance Monitoring and Optimization: Optimize AI model performance through hyperparameter tuning and algorithmic improvements. Monitor performance using tools like Prometheus, tracking key metrics (e.g., latency, accuracy, model drift, error rates etc.) 7. Solution Design and Architecture: Collaborate with cross-functional teams to understand business requirements and translate them into scalable, efficient AI/ML solutions. Design end-to-end AI systems, including data pipelines, model training workflows, and deployment architectures, ensuring alignment with business objectives and technical constraints. Conduct feasibility studies and proof-of-concepts (PoCs) for emerging technologies to evaluate their applicability to specific use cases. 8. Stakeholder Engagement: Act as the technical point of contact for AI/ML projects, managing expectations and aligning deliverables with timelines. Participate in workshops, demos, and client discussions to showcase AI capabilities and align solutions with client needs. Technical Skills Proficient in Python , with strong knowledge of libraries like NumPy, Pandas, SciPy, and Matplotlib for data manipulation and visualization. Expertise in TensorFlow, PyTorch, Scikit-learn, and Keras for building, training, and optimizing machine learning and deep learning models. Hands-on experience with Transformer libraries like Hugging Face Transformers, OpenAI APIs, and LangChain for NLP tasks. Practical knowledge of CNN architectures (e.g., YOLO, ResNet, VGG) and Vision Transformers (ViT) for Computer Vision applications. Proficiency in developing and deploying Diffusion Models like Stable Diffusion, SDX, and other generative AI frameworks. Experience with RLHF (Reinforcement Learning with Human Feedback) and reinforcement learning algorithms for optimizing AI behaviors. Proficiency with Docker and Kubernetes for containerization and orchestration of AI workflows. Hands-on experience with MLOps tools such as MLFlow for model tracking and CI/CD integration in AI pipelines. Expertise in setting up monitoring tools like Prometheus and Grafana to track model performance, latency, throughput, and drift. Knowledge of performance optimization techniques, such as quantization, pruning, and knowledge distillation, to improve model efficiency. Experience in building data pipelines for preprocessing, cleaning, and transforming large datasets using tools like Apache Airflow, Luigi Familiarity with cloud-based storage systems (e.g., AWS S3, Google BigQuery) for efficient data handling in AI workflows. Strong understanding of cloud platforms (AWS, GCP, Azure) for deploying and scaling AI solutions. Knowledge of advanced search technologies such as Elasticsearch for indexing and querying large datasets. Familiarity with edge deployment frameworks and optimization for resource-constrained environments Qualifications · Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Experience: 2.5 to 5 yrs Location: Trivandrum Job Type: Full-time Pay: ₹500,000.00 - ₹1,100,000.00 per year Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Work Location: In person

We are seeking a skilled Civil Engineer to join our dynamic team at Tri Angle Design & Build. The ideal candidate will be responsible for preparing detailed drawings and layouts for structural projects, ensuring accuracy, and collaborating closely with engineers and architects. Key Responsibilities : Prepare detailed 2D drawings, layouts, and reinforcement details as per project requirements. Interpret and translate engineering designs into accurate structural drawings. Coordinate with architects, structural engineers, and contractors to resolve design-related issues. Structural Modelling using Etabs Software. Ensure compliance with relevant codes and standards (e.g., Indian Standards). Maintain documentation for all projects. Conduct site visits to understand practical requirements when necessary. Qualifications : Min Diploma/Degree in Civil Engineering or relevant field. Proficiency in software like AutoCAD and Etabs. Strong understanding of structural detailing and construction practices. Excellent attention to detail and problem-solving skills. Experience : 1+ years of experience in structural drafting or a similar role. Job Type: Full-time Pay: ₹12,000.00 - ₹15,000.00 per month Work Location: In person

Prepare and review detailed quantity take-offs based on drawings, specifications and BOQs. Quantity take offs of RCC structural elements and structural steel Prepare detailed Bar Bending schedule(BBS) from structural drawings Required Candidate profile Civil Diploma, B.E.Civil with 2-3 year experience Knowledge of quantity survey steel, beam, column & concrete RCC Structural quantity & Bar Bending Software skill like Excel and Autocad