2079 Reinforcement Jobs - Page 36

Job Description Job Title: Project Lead – Annotation Location: Office-Based (Ahmedabad, India) About Us Hitech is a leading provider of Engineering, BIM, and Business Process Solutions. With over 1,200 team members and a growing global presence, we deliver innovative digital and business transformation solutions to clients across the USA, UK, and India. Our Data Annotation & AI Enablement practice supports AI model training and human feedback loops across large-scale computer vision, NLP, and generative AI use cases. As part of our expansion, we are looking for a capable and experienced Project Lead – Annotation to drive execution excellence in our data labeling programs. Position Summary As a Project Lead – Annotation, you will be responsible for leading large, distributed teams—both internal and vendor-based—in delivering high-quality annotated datasets for AI and machine learning projects. You will oversee end-to-end project execution, define annotation workflows, configure QA pipelines, and ensure consistent throughput and data accuracy. This role requires a strong blend of team leadership, process orientation, and hands-on technical know-how of annotation platforms and data labeling tools. The ideal candidate is a structured thinker, effective communicator, and passionate about enabling AI development through precise human-in-the-loop data handling. Key Responsibilities Lead and manage large annotation teams, including third-party vendors and remote contributors Assign tasks, define milestones, track progress, and manage workloads to ensure on-time delivery Motivate and train team members, fostering a culture of ownership and continuous improvement Draft and maintain clear annotation guidelines and ensure adherence across the team Design and implement QA strategies to monitor and enhance data quality and consistency Optimize workflows, review loops, and escalation paths to improve labeling efficiency Collaborate with cross-functional teams including product managers, engineers, and QA leads Propose and implement process improvements to enhance throughput and accuracy Monitor metrics, analyze team performance, and recommend corrective actions Utilize collaboration tools to manage distributed workflows effectively Qualifications & Experience Bachelor’s or master’s degree in computer science, Information Technology, Data Engineering, or a related field 3–6 years of experience leading data or annotation projects, with proven experience managing distributed teams Hands-on experience with annotation tools such as Label box, CVAT, or other custom labeling platforms Strong understanding of data formats such as JSON, XML, YOLO, CSV, and COCO Experience in configuring QA workflows, writing annotation guidelines, and driving performance-based output Knowledge of AI and machine learning concepts, including RLHF (Reinforcement Learning from Human Feedback) Excellent communication and interpersonal skills to work with global teams and clients Strong problem-solving, organizational, and multitasking skills

Area(s) of responsibility The Implementation Technical Architect will be responsible for designing, developing, and deploying cutting-edge Generative AI (GenAI) solutions using the latest Large Language Models (LLMs) and frameworks. This role requires deep expertise in Python programming, cloud platforms (Azure, GCP, AWS), and advanced AI techniques such as fine-tuning, LLMOps, and Responsible AI. The architect will lead the development of scalable, secure, and efficient GenAI applications, ensuring alignment with business goals and technical requirements. Design and Architecture: Create scalable and modular architecture for GenAI applications using frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. Python Development: Lead the development of Python-based GenAI applications, ensuring high-quality, maintainable, and efficient code. Data Curation Automation: Build tools and pipelines for automated data curation, preprocessing, and augmentation to support LLM training and fine-tuning. Cloud Integration: Design and implement solutions leveraging Azure, GCP, and AWS LLM ecosystems, ensuring seamless integration with existing cloud infrastructure. Fine-Tuning Expertise: Apply advanced fine-tuning techniques such as PEFT, QLoRA, and LoRA to optimize LLM performance for specific use cases. LLMOps Implementation: Establish and manage LLMOps pipelines for continuous integration, deployment, and monitoring of LLM-based applications. Responsible AI: Ensure ethical AI practices by implementing Responsible AI principles, including fairness, transparency, and accountability. RLHF and RAG: Implement Reinforcement Learning with Human Feedback (RLHF) and Retrieval-Augmented Generation (RAG) techniques to enhance model performance. Modular RAG Design: Develop and optimize Modular RAG architectures for complex GenAI applications. Open Source Collaboration: Leverage Hugging Face and other open-source platforms for model development, fine-tuning, and deployment. Front-End Integration: Collaborate with front-end developers to integrate GenAI capabilities into user-friendly interfaces. SDLC and DevSecOps: Implement secure software development lifecycle (SDLC) and DevSecOps practices tailored to LLM-based projects. Technical Documentation: Create detailed design artifacts, technical specifications, and architecture diagrams for complex projects. Stakeholder Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to deliver high-impact solutions.

WHY GO WITH GREYORANGE? At GreyOrange, we develop leading-edge fulfillment technology that gets the right product to the right place at the right time. In today’s age of immediacy, where customers expect to receive their order right away, retailers must take a completely new approach to compete. By leveraging AI, robotics and machine learning, GreyOrange transforms how businesses fulfill orders and keep promises to their customers. GreyOrange is a global company with core operations in North America, Europe, India and Japan. We apply modern thinking and technology to solve today’s fulfillment challenges – and we’re looking for modern minds to join us. About Our Solutions GreyOrange technology specializes in bringing warehouses, distribution centers, and fulfillment centers into the future. Our AI-driven GreyMatter™ Fulfillment Operating System and Ranger™ robot series are a combined solutions that continuously prioritize decisions and workflows to efficiently orchestrate tasks, time and teams of people and robots for optimum performance across a distribution center. Real-time data is fed into always-solving algorithms that calculate each next-best decision, whether solving for every-day performance or solving for peak period commitments. The result is a fast, agile and precisely tuned operation that equips our customers to perpetually meet the what-when-where expectations of their customers. Senior Engineer - Software Development Responsibilities Design and implement backend infrastructure and APIs. Write high-quality code that is robust, readable and scales. Possess the drive to dive deep. thrive and progress even in ambiguous situations. Encourage and support knowledge sharing within teams and external groups. Troubleshoot & debug applications. Adopt problem-solving as a way of life - always go to the root cause. Collaborate with the team to discuss and implement ideas. Build responsive, robust and optimized applications. Requirements: B.E/ B.Tech/M.E/M.Tech/ M.S in Computer Science, Electronics, or related fields from a premier institute. 3-6 years of work experience, having demonstrated problem-solving skills. Have experience designing and implementing non-trivial software systems (e.g., using multiple processes/threads/IPC etc.) Proven expertise in building end-to-end AI/ML applications using TensorFlow, PyTorch, scikit-learn, Keras, with strong MLOps practices for model deployment and monitoring. Exposure to NLP, Computer Vision, or Reinforcement Learning and understanding of model interpretability and responsible AI practices. Development experience using Java Spring boot, Python, Android, ReactJS Experience working on REST, Kafka based API integration Experience on designing scalable and distributed systems. Experience on docker, Kubernetes. Good understanding of design patterns, object oriented design, and frameworks. Experience in Algorithmic development Proficient in RDBMS (SQL), familiar with PostgreSQL, Redis, MongoDB, and well-versed in object-oriented design and design patterns. Equal Opportunity Employer Grey Orange Inc. is an equal employment opportunity employer. The company’s policy is not to discriminate against any applicant or employee based on race, color, religion, national origin, gender, age, sexual orientation, gender identity or expression, veteran status, marital status, mental or physical disability, and genetic information, or any other basis protected by applicable law. Grey Orange also prohibits harassment of applicants or employees based on any of these protected categories.

WHY GO WITH GREYORANGE? At GreyOrange, we develop leading-edge fulfillment technology that gets the right product to the right place at the right time. In today’s age of immediacy, where customers expect to receive their order right away, retailers must take a completely new approach to compete. By leveraging AI, robotics and machine learning, GreyOrange transforms how businesses fulfill orders and keep promises to their customers. GreyOrange is a global company with core operations in North America, Europe, India and Japan. We apply modern thinking and technology to solve today’s fulfillment challenges – and we’re looking for modern minds to join us. About Our Solutions GreyOrange technology specializes in bringing warehouses, distribution centers, and fulfillment centers into the future. Our AI-driven GreyMatter™ Fulfillment Operating System and Ranger™ robot series are a combined solutions that continuously prioritize decisions and workflows to efficiently orchestrate tasks, time and teams of people and robots for optimum performance across a distribution center. Real-time data is fed into always-solving algorithms that calculate each next-best decision, whether solving for every-day performance or solving for peak period commitments. The result is a fast, agile and precisely tuned operation that equips our customers to perpetually meet the what-when-where expectations of their customers. Senior Engineer - Software Development Responsibilities Design and implement backend infrastructure and APIs. Write high-quality code that is robust, readable and scales. Possess the drive to dive deep. thrive and progress even in ambiguous situations. Encourage and support knowledge sharing within teams and external groups. Troubleshoot & debug applications. Adopt problem-solving as a way of life - always go to the root cause. Collaborate with the team to discuss and implement ideas. Build responsive, robust and optimized applications. Requirements: 6–10 years of experience in software development with strong problem-solving skills and expertise in building complex, high-performance systems. Proven expertise in building end-to-end AI/ML applications using TensorFlow, PyTorch, Keras, with strong MLOps practices for model deployment and monitoring. Solid foundation in machine learning, deep learning, and AI integration into production systems with real-world performance trade-off understanding. Exposure to NLP, Computer Vision, or Reinforcement Learning and understanding of model interpretability and responsible AI practices. Deep experience in designing scalable, distributed systems using microservices, event-driven architecture, and principles like CAP theorem and fault tolerance. Skilled in system strategies including load balancing, caching, service discovery, rate limiting, disaster recovery, and observability. Hands-on with Java Spring Boot, Python, Android, and containerized deployments using Docker and Kubernetes. Strong knowledge of RESTful services, Kafka-based messaging, multithreading, and inter-process communication. Proficient in RDBMS (SQL), familiar with PostgreSQL, Redis, MongoDB, and well-versed in object-oriented design and design patterns. Experienced in version control (Git), performance tuning, algorithm design, and large-scale system optimization. Equal Opportunity Employer Grey Orange Inc. is an equal employment opportunity employer. The company’s policy is not to discriminate against any applicant or employee based on race, color, religion, national origin, gender, age, sexual orientation, gender identity or expression, veteran status, marital status, mental or physical disability, and genetic information, or any other basis protected by applicable law. Grey Orange also prohibits harassment of applicants or employees based on any of these protected categories.

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description The Connected Customer Experience (CCX) team creates consumer-grade digital experiences and products that help our customers and partners be successful and realize the value of their ServiceNow investment. Leveraging the latest technologies, and built on ServiceNow’s intelligent platform, we deliver a seamless, personalized experience at every step of our customers’ journey. The products we build power digital business for ServiceNow and can even become commercially available. As a Staff AI/ML Software Engineer within CCX you will build data pipeline, ML Models, secure code that's scalable and reusable. Grow our business by bringing internal products to the world and find new ways to personalize with AI/ML and simplify how employees and customers work. Implement software that empowers internal customers to extend what it can do to meet their specific needs, as our own "customer zero." What you get to do in this role: Design and build scalable search ranking, indexing and personalization systems. Develop real-time and batch ML models using embeddings, collaborative filtering, and deep learning. Integrate user behavior signals, session data, and content metadata to optimize relevance. Experience working with LLM technologies, including developing generative and embedding techniques, modern model architectures, retrieval-augmented generation (RAG), fine tuning / pre-training LLM (including parameter efficient fine-tuning), Deep reinforcement learning and evaluation benchmarks Collaborate cross-functionally with product, data, and infra teams to deploy experiments and measure impact. Optimize retrieval, filtering, and ranking algorithms in production search pipelines. Real-time Personalization using query Embeddings for Search Ranking Monitor model performance and continuously iterate using A/B testing and offline evaluation metrics Experience in MLOps and model governance Strong analytical and quantitative problem-solving ability Deep expertise in distributed computing strategies in Azure, AWS or GCP Cluster, enhancing the parallel processing capabilities Qualifications To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience 3+ years experience building ML-powered search or recommendation systems. Strong programming skills in Python, Java, SpringBoot or Scala. Experience with ML frameworks like TensorFlow, PyTorch, XGBoost, TensorFlow or LightGBM. Knowledge of embedding models, user/item vectorization, or session-based personalization. Experience with large-scale distributed systems (e.g., Spark, Kafka, Kubernetes). Hands-on experience with real-time ML systems. Background in NLP, graph neural networks, or sequence modeling. Experience with A/B testing frameworks and metrics like NDCG, MAP, or CTR. Hands-on experience working on AI search (text, vector and hybrid search) FD21 Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

JOB DESCRIPTION We are seeking individuals with advanced expertise in Machine Learning (ML) to join our dynamic team. As an Applied AI ML Lead within our Corporate Sector, you will play a pivotal role in developing machine learning and deep learning solutions, and experimenting with state of the art models. You will contribute to our innovative projects and drive the future of machine learning at AI Technologies. You will use your knowledge of ML tools and algorithms to deliver the right solution. You will be a part of an innovative team, working closely with our product owners, data engineers, and software engineers to build new AI/ML solutions and productionize them. You will also mentor other AI engineers and scientists while fostering a culture of continuous learning and technical excellence. We are looking for someone with a passion for data, ML, and programming, who can build ML solutions at-scale with a hands-on approach with detailed technical acumen. Job responsibilities Serve as a subject matter expert on a wide range of machine learning techniques and optimizations. Provide in-depth knowledge of machine learning algorithms, frameworks, and techniques. Enhance machine learning workflows through advanced proficiency in large language models (LLMs) and related techniques. Conduct experiments using the latest machine learning technologies, analyze results, and tune models. Engage in hands-on coding to transition experimental results into production solutions by collaborating with the engineering team, owning end-to-end code development in Python for both proof of concept/experimentation and production-ready solutions. Optimize system accuracy and performance by identifying and resolving inefficiencies and bottlenecks, collaborating with product and engineering teams to deliver tailored, science and technology-driven solutions. Integrate Generative AI within the machine learning platform using state-of-the-art techniques, driving decisions that influence product design, application functionality, and technical operations and processes Required qualifications, capabilities, and skills Formal training or certification on AI/ML concepts and 5+ years applied experience Hans on experience in programming languages, particularly Python. Manage to apply data science and machine learning techniques to address business challenges. Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs). Expertise in deep learning frameworks such as PyTorch or TensorFlow, and advanced applied ML areas like GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, and RAG (Similarity Search). Manage to complete tasks and projects independently with minimal supervision, with a passion for detail and follow-through. Excellent communication skills, team player, and demonstrated leadership in collaborating effectively with engineers, product managers, and other ML practitioners Preferred qualifications, capabilities, and skills Exposure with Ray, MLFlow, and/or other distributed training frameworks. MS and/or PhD in Computer Science, Machine Learning, or a related field. Understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies. Familiar in Reinforcement Learning or Meta Learning. Understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods. Exposure building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Job Title : Python Backend Developer - FastAPI, PostgreSQL, Pattern Recognition Location : Remote / Hybrid Type: Full-time Experience: 3 to 7 Years Compensation: USDT only | Based on skill and performance About Us: We are a cutting-edge fintech startup building an Al-powered trading intelligence platform that integrates technical analysis, machine learning, and real-time data processing. Our systems analyze financial markets using custom algorithms to detect patterns, backtest strategies, and deploy automated insights. We're seeking a skilled Python Backend Developer experienced in FastAPI, PostgreSQL, pattern recognition, and financial data workflows. Key Responsibilities Implement detection systems for chart patterns, candlestick patterns, and technical indicators (e.g.,RSI, MACD, EMA) Build and scale high-performance REST APIs using FastAPI for real-time analytics and model communication Develop semi-automated pipelines to label financial datasets for supervised/unsupervised ML models Implement and maintain backtesting engines for trading strategies using Python and custom simulation logic Design and maintain efficient PostgreSQL schemas for storing candle data, trades, indicators, and model metadata (Optional) Contribute to frontend integration using Next.js/React for analytics dashboards and visualizations Key Requirements Python (3-7 years): Strong programming fundamentals, algorithmic thinking, and deep Python ecosystem knowledge FastAPI: Proven experience building scalable REST APIs PostgreSQL: Schema design, indexing, complex queries, and performance optimization Pattern Recognition: Experience in chart/candlestick detection, TA-Lib, rule-based or ML-based identification systems Technical Indicators: Familiarity with RSI, Bollinger Bands, Moving Averages, and other common indicators Backtesting Frameworks: Hands-on experience with custom backtesting engines or libraries like Backtrader, PyAlgoTrade Data Handling: Proficiency in NumPy, Pandas, and dataset preprocessing/labeling techniques Version Control: Git/GitHub - comfortable with collaborative workflows Bonus Skills Experience in building dashboards with Next.js / React Familiarity with Docker, Celery, Redis, Plotly, or TradingView Charting Library Previous work with financial datasets or real-world trading systems Exposure to Al/ML model training, SHAP/LIME explainability tools, or reinforcement learning strategies Ideal Candidate Passionate about financial markets and algorithmic trading systems Thrives in fast-paced, iterative development environments Strong debugging, data validation, and model accuracy improvement skills Collaborative mindset - able to work closely with quants, frontend developers, and ML engineers What You'll Get Opportunity to work on next-gen fintech systems with real trading applications Exposure to advanced AI/ML models and live market environments Competitive salary + performance-based bonuses Flexible working hours in a remote-first team

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Develop and implement AI and machine learning strategies for healthcare domains Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives 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 Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree or higher in computer science engineering with a focus on language processing 8+ years of experience in Software Engineering, Data Science, or Analytics with 4+ years of experience in AI/ML engineering or related fields Experience in developing solutions in the NLP space and relevant projects Hands on Experience in AI and drive the development of innovative AI and machine learning solutions Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc. Experience with Azure development environments Experience with using and deploying LLMs Knowledge of NLP literature, thrust areas, conference venues, and code repositories Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering. Proficient in Python and one of PySpark. Familiarity with python tools for data processing Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Proven ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions Proven hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Job Description**Job Title: AI/ML Engineer (Agentic AI, LLMs, Deep Learning) ** **Experience Level: ** 3–4 Years **Job Type: ** Full-Time **About the Role: ** We are seeking a skilled and motivated AI/ML Engineer to join our team in building intelligent, agentic systems for the casino gaming domain. The ideal candidate will have hands-on experience with agent frameworks—particularly LangGraph—and a solid foundation in machine learning, large language models (LLMs), and deep learning architectures. This role involves working at the intersection of cutting-edge AI and applied software engineering. **Responsibilities: ** Design, build, and optimize AI agents using agentic AI frameworks (e.g., LangGraph) for domain-specific tasks Collaborate on the development and fine-tuning of both open-source and proprietary LLMs Develop robust RESTful APIs using frameworks such as FastAPI or Flask to support AI model deployment and integration Conduct experimentation and evaluation of foundational models and neural network architectures Maintain and enhance model performance through data curation, retraining, and optimization Contribute to technical design discussions and participate in architecture reviews Stay updated with emerging research and advancements in AI/ML, especially in reinforcement learning, agent design, and LLM systems **Requirements: ** 3–4 years of professional experience in machine learning and applied AI Proficiency in Python and common AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers) Hands-on experience with agentic AI frameworks (LangGraph preferred) Strong understanding of foundational models, neural networks, and deep learning principles Experience working with large language models, both open-source (e.g., LLaMA, Mistral) and closed (e.g., OpenAI GPT, Claude) Solid experience in building and maintaining RESTful APIs using FastAPI or Flask Bachelor’s degree in computer science, Engineering, or a related field (master’s preferred) **Nice to Have: ** Experience in the gaming or casino domain Familiarity with MLOps tools and model deployment pipelines

About the Company: Conart Engineers is a four decades old, ISO 9001: 2015 BSE listed company, providing Industrial, Commercial and Infrastructure Construction, Engineering and Project Management services. Conart has successfully completed numerous construction projects and has full in-house machinery and equipment capabilities, with depth of 100+ qualified personnel. Our credentials can be found at - https://www.conartengineers.com/ Job Duties: Estimating the quantity of different works as per drawings. Checking the quantities claimed by the contractor. Preparing variation statement. Taking care of daily progress work & comparing the quantities planned to be executed. Correction & rectification of drawings & generate RFIs for the concerned consultants for the same. Verification of extra items, rate analysis. Checking of BBS and consistently carrying out reconciliation of reinforcement at site. Safety & Quality For certificate of bills get updates from Project Managers/ Quality Engineers for quality To measure (if required take inputs from concerned PM/APM/Engineer) and obtained quality records from the concerned staff for certifying contractor’s bills. To assist the PM and APM for the area of the site work allotted to him. On-going job being executed at site to be cross checked with drawings Job Type: Full-time Pay: ₹20,000.00 - ₹50,000.00 per month Schedule: Day shift Supplemental Pay: Yearly bonus Application Question(s): Are you from Vadodara? Education: Bachelor's (Required) Experience: Civil engineering: 10 years (Required) Work Location: In person Expected Start Date: 15/07/2025

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. About Our Forward Deployed Engineering Team Generating high-quality data is the core problem our business solves. We aim to make producing and delivering high-quality data seamless and efficient for operators and customers. Our Operator Group is building customer and operator-specific infrastructure to provide high-quality data with low turnaround time. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model-building organizations in the space, including the top AI research labs and government agencies. Join us in shaping the future of Artificial General Intelligence. As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI. You will work with the world’s leading AI companies and government agencies to solve their most complex AI data-related problems. Responsibilities: Own large areas within our product Comfortable working cross functionally, whether that be internal or external customers Build features end-to-end: front-end, back-end, system design, debugging and testing Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Influence the culture, values, and processes of a growing engineering team Inspire and mentor less experienced engineers Collaborating with cross-functional teams to define, design, and ship new product features and experiences. Requirements: At least 7-10 years of relevant experience is preferred Track record of shipping high-quality products and features at scale Desire to work in a very fast-paced environment Ability to turn business and product ideas into engineering solutions Excellent problem-solving skills, and be able to work independently or as part of a team. Location: Initially, the role will be remote (work from home). However, as the team expands and grows in India, we might move to working from office or a hybrid model. Candidate applying for this role should be based in (or willing to relocate at some point) Mumbai or Bangalore PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

At PwC, our people in risk and compliance focus on maintaining regulatory compliance and managing risks for clients, providing advice, and solutions. They help organisations navigate complex regulatory landscapes and enhance their internal controls to mitigate risks effectively. In actuarial services at PwC, you will be responsible for analysing and managing financial risks for clients through statistical modelling and data analysis. Your work will generate valuable insights and recommendations to help businesses make informed decisions and mitigate potential risks. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. We are looking for a seasoned Data Scientist – Manager to lead advanced analytics initiatives and drive data-driven decision-making across the organization. The ideal candidate combines deep expertise in statistical modeling, machine learning, and modern data science techniques with strong business acumen and leadership skills. The role involves solving complex problems, building scalable models, and integrating advanced AI solutions into business workflows. Key Responsibilities Data Science Leadership: Lead a team of data scientists and analysts in designing, developing, and deploying machine learning models and statistical algorithms. Mentor team members, promoting best practices in experimentation, coding, and model evaluation. Translate business problems into structured analytical solutions using robust quantitative methods. Model Development & AI Integration Develop predictive and prescriptive models using regression, tree-based methods (e.g., Random Forest), LSTM, and reinforcement learning techniques. Apply deep learning and large language models (LLMs) to extract insights from structured and unstructured data. Work closely with engineering teams to productionize models and embed them into digital products and services. Advanced Analytics & Statistical Inference Perform exploratory data analysis, sampling, and inferential testing to identify trends and actionable insights. Use econometric and time series techniques to forecast and evaluate impact, especially in economic or behavioral contexts. Apply PCA and other dimensionality reduction techniques to handle high-dimensional data. Cloud & Data Infrastructure Collaborate with data engineering teams to access and leverage data from cloud platforms (AWS, GCP, Databricks). Utilize SQL, R, and Python to extract, clean, and manipulate large datasets from relational (RDBMS) and NoSQL (e.g., MongoDB) databases. Stakeholder Engagement & Strategic Impact Partner with business stakeholders to define analytical objectives and communicate findings with clarity. Lead data science strategy and roadmap development to ensure alignment with organizational goals. Drive innovation by exploring and implementing state-of-the-art methods in AI and machine learning. Required Skills And Experience 8+ years of experience in data science, with deep proficiency in Python, SQL, and statistical modeling. Proven experience developing and deploying ML models, including deep learning and time series forecasting. Expertise in cloud platforms and data pipeline integration for scalable model delivery. Strong understanding of statistical inference, econometrics, and experimental design. Experience with LLMs and advanced language models is a plus. Excellent problem-solving, communication, and team leadership abilities. Qualifications Master’s or PhD in Data Science, Computer Science, Statistics, Economics, or a related field. Demonstrated ability to lead data science projects from concept to deployment. Strong track record of delivering impact through data science in complex business environments.

Role & responsibilities Responsible for over all billing of reinforcement steel activities. Responsible for Preparation of Bar bending schedule as per Indian standard. Taking Approval of the BBS from the consultant. Coordinating with contractor & consultant regarding any technical quarries. Responsible for site execution of reinforcement work. Coordinating with VDC modelling team of RO/HO Record all incoming steel and monitoring the wastages and controle on wastages by optimising the BBS in consultation with VDC team Monthly Reconciliation of reinforcement steel Preparation of Client billing for reinforcement steel work. Preferred candidate profile Should be B.E./B.Tech with 05-10 yrs of experience or Diploma (Civil) with 0712 years of experience form good construction companies. Knowledge in Structural Drafting with Auto CAD .

About Avaya Avaya is an enterprise software leader that helps the world’s largest organizations and government agencies forge unbreakable connections. The Avaya Infinity™ platform unifies fragmented customer experiences, connecting the channels, insights, technologies, and workflows that together create enduring customer and employee relationships. We believe success is built through strong connections – with each other, with our work, and with our mission. At Avaya, you'll find a community that values your contributions and supports your growth every step of the way. Learn more at https://www.avaya.com. Job Information Job Description We are seeking a highly experienced and visionary Lead AI Application Engineer to join our core AI team. This pivotal role will be instrumental in designing, developing, and deploying advanced Generative AI and Agentic AI applications. You will be a key contributor to our strategic initiatives, working on complex problems that require deep technical expertise and a forward-thinking approach. This is an exceptional opportunity for an individual who thrives on building sophisticated, autonomous AI systems and wants to make a significant impact. Responsibilities Provide thought leadership around applying AI and ML technology and help define technical direction and architecture with engineering team members. Leading the exploration and application of Large Language Models, Agentic AI and Generative AI, venturing into new areas within these fields. Architect and implement robust, scalable, and efficient AI systems leveraging a variety of AI/ML, data science, deep learning, and agentic AI frameworks. Drive the integration of complex Model Context Protocol (MCP) and agent-to-agent (A2A) communication protocols, ensuring seamless interaction and optimal performance. Design, build, and deploy autonomous agents capable of complex decision-making and task execution in dynamic environments. Design and implement scalable and efficient AI/ML systems, architectures, and pipelines that can handle large volumes of data and deliver accurate and timely results. Develop and maintain real-world NLP features using the latest techniques for call routing, intent identification, named entity recognition, information retrieval, summarization etc. Conduct extensive research and experimentation with emerging AI technologies, specifically in Generative AI and Agentic AI, to identify and implement innovative solutions. Collaborate closely with cross-functional teams including data scientists, software engineers and product managers to translate business requirements into technical solutions. Regularly self-educate while mentoring and provide technical leadership to other engineers, fostering a culture of continuous learning and excellence. Requirements Qualifications 10+ years of progressive hands-on technical experience in Artificial Intelligence, Machine Learning, Data Science, and Deep Learning. Demonstrated experience (3+ years) actively working on and deploying Generative AI and Agentic AI applications. Extensive hands-on experience with multiple AI and Agentic AI frameworks, such as (but not limited to): ○ Generative AI: TensorFlow, PyTorch, Hugging Face Transformers, OpenAI API, LangChain, LlamaIndex, etc. ○ Agentic AI: LangChain Agents, Auto-GPT, CrewAI, multi-agent simulation frameworks, etc. Experienced with leading LLM models such as OpenAI's GPT series, Google's Gemini, Meta's Llama, and Anthropic's Claude, including fine-tuning and deployment for specific applications. Deep understanding and practical experience with Multi-Component Platforms (MCP) and Agent-to-Agent (A2A) communication patterns. Experience with cloud platforms (Azure, GCP, AWS) and MLOps practices. 5 + years of experience writing and deploying production quality models in languages such as Python Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Knowledge, Skills, And Abilities Expertise in developing on a Azure cloud platform is a big plus Contributions to open-source AI projects, particularly in Generative AI or Agentic AI Familiarity with reinforcement learning and multi-agent reinforcement learning. Outstanding written and verbal communication skills Education Bachelor degree or equivalent experience Advance Degree preferred Footer Avaya is an Equal Opportunity employer and a U.S. Federal Contractor. Our commitment to equality is a core value of Avaya. All qualified applicants and employees receive equal treatment without consideration for race, religion, sex, age, sexual orientation, gender identity, national origin, disability, status as a protected veteran or any other protected characteristic. In general, positions at Avaya require the ability to communicate and use office technology effectively. Physical requirements may vary by assigned work location. This job brief/description is subject to change. Nothing in this job description restricts Avaya right to alter the duties and responsibilities of this position at any time for any reason. You may also review the Avaya Global Privacy Policy (accessible at https://www.avaya.com/en/privacy/policy/) and applicable Privacy Statement relevant to this job posting (accessible at https://www.avaya.com/en/documents/info-applicants.pdf).

About the Role: We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making. The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities 1. Conversational AI & Call Transcription Development Develop and fine-tune automatic speech recognition (ASR) models Implement language model fine-tuning for industry-specific language. Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. 2. NLP & Generative AI Applications Build summarization models to extract key insights from conversations. Implement Named Entity Recognition (NER) to identify key topics. Apply LLMs for conversation analytics and context-aware recommendations. Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. 3. Sentiment Analysis & Decision Support Develop sentiment and intent classification models. Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. 4. AI Deployment & Scalability Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. Implement MLOps workflows to continuously improve model performance with new call data. Required Skills & Qualifications: Technical Skills 5+ Years of Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI. Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text. Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers. Experience with LLM fine-tuning, RAG-based architectures, and LangChain. Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval. Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask. Soft Skills Ability to translate AI insights into business impact. Strong problem-solving skills and ability to work in a fast-paced AI-first environment. Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders. Preferred Qualifications Experience in healthcare, pharma, or life sciences NLP use cases. Background in knowledge graphs, prompt engineering, and multimodal AI. Experience with Reinforcement Learning (RLHF) for improving conversation models. What do you get in return? Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table. Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks : Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats : Dive into our casual "Growth Chats" where you can learn from the best whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills. Snack Zone: Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards : We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications .

Job Tilte Assistant Professor Location Coimbatore, Tamil Nadu Required Number 1 Qualification B.E., / B.Tech and MTech in Mechanical / Mechatronics/ECE/ EEE / CSE or allied specialization and PhD in Automation / Mechatronics / Robotics Job Description B.E., / B.Tech and MTech in Mechanical / Mechatronics/ECE/ EEE / CSE or allied specialization Ph.D. with expertise in Robotics / AI/ Automation / Mechatronics Good academic track record with quality research publications Programming skills - C, C++, Python, Matlab, ROS, Robot programming languages, LAB View, Automation Studio Teaching courses – Mobile Robots; Robot Dynamics & Control, Robot Navigation, IOT, Mechatronics System Design, Embedded Systems; Deep Learning; Reinforcement Learning Job Category Teaching Last Date to Apply July 10, 2025

Job Title Assistant Professor Location Coimbatore, Tamil Nadu Required Number 1 Qualification B.E., / B.Tech and MTech in Mechanical / Mechatronics/ Automotive Engineering / ECE/ EEE / CSE or allied specialization and PhD in SDV/EV/ Hybrid Vehicle Additional Qualification B.E., / B.Tech and MTech in Mechanical / Automobile Engineering or allied specialization Ph.D. with expertise in Electric Vehicle / Automotive Electronics / Software Defined Vehicles / Alternate Fuels (Hydrogen / Ammonia) / NVH / Vehicle Dynamics Good academic track record with quality research publications Programming / Software Skills C, C++, Python, Matlab, GT Suite, IPG Carmaker. COMSOL, ANSYS Teaching Courses EV Design, Battery Management System, Automotive Electronics, Software Defined Vehicles (SDV), Deep & Reinforcement Learning, Autonomous Vehicles Job Category Teaching Last Date to Apply July 10, 2025

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 We are seeking a skilled Manager Accounts Payable to join our GLBL BusSvcs – Freight Payable Mgt – ITP -Global Finance Services Division. The incumbent would be responsible for Coordinating and managing Accounts Payable (Freight related) projects. The preference for this role is to be based out of Whitefield Office, Bangalore, India What You Will Do Job Roles and Responsibilities Manage the Invoice to Pay (ITP) processes. Monitor and deliver day-to-day activities. Coordinate with service provider and other stakeholders to resolve any issues. Make sure the invoices are received, accounted, and paid on time. Participate in any special projects within the ITP areas. Perform quality audits to validate the accuracy on the Invoice accounting and vendor payments. Prepare MIS reports for management’s attention and review. Track and report metrics and to assist service center supervisors and section manager in more complex projects. Includes communicating with suppliers, carriers, facilities, procurement and transportation Perform SOX testing/Assist Auditors Ensure process documentation and procedures are updated and maintained for the department. Look for opportunities for improvements Interact with worldwide stakeholders Travel requirements – Minimal travel may be required. Open for night shift – 6pm-3am(US Shift) What You Will Have Accounting Degree. 13 to 15 years of experience in End to End Accounts payable processes. Must have worked in global Set-Ups and managed cross border stakeholders Good working knowledge on Microsoft office Good communication Ability to own and resolve issues This position requires candidate to work a 5-day -a -week schedule in the office Skills Desired: Process Management : Knowledge of business process improvement tools and techniques; ability to understand, monitor, update, control, or enhance existing business or work processes. Level Working Knowledge: Employs process flows, cycle time, process time and waste concepts as appropriate. Walks through steps, decisions, measurements, dependencies and hand-offs for a specific process. Creates process flow or work flow diagrams. Documents types of process decisions and potential impact of each decision. Identifies and monitors common process bottlenecks. 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. Decision Making and Critical Thinking : Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment. Level Working Knowledge: Applies an assigned technique for critical thinking in a decision-making process. Identifies, obtains, and organizes relevant data and ideas. Participates in documenting data, ideas, players, stakeholders, and processes. Recognizes, clarifies, and prioritizes concerns. Assists in assessing risks, benefits and consideration of alternatives. 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 Working Knowledge: Recognizes changing demands and priorities; validates changes with management. Obtains information about how current assignments contribute to organizational goals. Completes current work according to assigned priorities. Responds to day-to-day operational priorities while still making progress on project work. Performs at least 2-3 concurrent activities without reducing productivity. 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. Level Working Knowledge: Identifies and documents specific problems and resolution alternatives. Examines a specific problem and understands the perspective of each involved stakeholder. Develops alternative techniques for assessing accuracy and relevance of information. Helps to analyze risks and benefits of alternative approaches and obtain decision on resolution. Uses fact-finding techniques and diagnostic tools to identify problems. Leadership : Knowledge of leadership practices and processes; ability to use strategies and skills to enlist others in setting, embracing and achieving objectives while having a long-term perspective of the future state of things and how to get there. Level Working Knowledge: Utilizes an appropriate style of leadership: autocratic, democratic, laissez-faire/free rein, etc. Utilizes positive reinforcement to motivate & attain desired behaviors; increases productivity. Demonstrates leadership qualities: intelligence, dominance, persistence, integrity, confidence. Employs leadership theories, such as contingency and transactional, and associated techniques. Manages own behaviors during interactions, such as feedback giving, to shape workplace events. Accounting : Knowledge of accounting methods, processes, and tools; ability to maintain and prepare financial statements and reports using accounting methods and processes. Level Working Knowledge: Utilizes cost monitoring practices, techniques and considerations. Works with financial transactions and related documentation within the organization. Participates in accounting practices of classifying and recording financial data. Maintains existing charts of accounts. Follows regulations for entering and reporting the financial content in major accounting systems. Accounts Payable (A-P): Knowledge of an organization's billing requirements; ability to utilize the proper tools and follow accounts payable practices and procedures. Level Extensive Experience: Trains others in reconciliation and back period adjustment practices and procedures. Delegates tasks relating to key issues and considerations for day-to-day A-P operations. Resolves common and complex A-P errors or problems. Supervises all aspects of maintaining accounts payable records. Teaches the practices for interdepartmental, partnership, and special case processing. Analyzes data flow between the A-P, General Ledger and other financial systems. What You Will Get: Work Life Harmony Earned and medical leave. 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 Caterpillar is an Equal Opportunity Employer (EEO) EEO/AA Employer. All qualified individuals, including minorities, females, veterans and individuals with disabilities - are encouraged to apply. Posting Dates: July 1, 2025 - July 14, 2025 Caterpillar is an Equal Opportunity Employer. Not ready to apply? Join our Talent Community.

Key Responsibilities: Supervise day-to-day site activities and ensure adherence to high rise residential construction plans. Ensure formwork, reinforcement, and concreting are carried out as per drawings and specifications. Check shuttering, bar bending, and concrete pour processes for compliance and safety. Oversee finishing activities including plastering, flooring, tiling, painting, false ceiling, joinery, and final fixtures. Review architectural and structural drawings; highlight discrepancies if any. Monitor progress against schedule and report delays or issues to the Project Manager. Ensure quality control of materials and workmanship as per standards. Verify quantities and prepare material requisitions. Conduct site inspections and ensure compliance with safety regulations. Attend site meetings and assist in resolving technical and construction issues. Job location : Mahim, Andheri Job Types: Full-time, Permanent Schedule: Day shift Location: Mahim, Mumbai, Maharashtra (Required) Work Location: In person

Job Information Date Opened 07/01/2025 Job Type Full time Industry Technology Work Experience 4-5 years City Chennai State/Province Tamil Nadu Country India Zip/Postal Code 600086 Job Description Responsibilities: Design, develop, and implement AI agents using state-of-the-art machine learning and natural language processing techniques. Collaborate with cross-functional teams to integrate AI agents into various applications and platforms. Conduct research to advance the capabilities of AI agents, including improving their conversational abilities, decision-making processes, and adaptability. Optimize and fine-tune AI models for performance, scalability, and efficiency. Stay up-to-date with the latest advancements in AI and machine learning technologies and apply them to enhance our products. Experience With Vertex AI Platform, Along with Conversational Agent, DialogFlow Understanding of Prompt Engineering, Agentic Framework, Google ADK, MCP, RAG Debug and troubleshoot issues related to AI agent performance and functionality. Document development processes, code, and research findings. Requirements Requirements: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven experience in developing AI agents or similar applications Proven experience in GCP Landscape and Vertex AI. Strong programming skills in languages such as Python or Java.. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Keras). Knowledge of natural language processing (NLP) techniques and tools. Familiarity with reinforcement learning and other AI methodologies. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities.

Job Introduction An opportunity is available for a Technician based at Weston-super-Mare. The successful candidate will be accountable to the Team Manager for the construction, maintenance and repair of the distribution network up to 66kV. You will be require to take responsibility for safety, work planning, performance and the issuing of safety documents and other tasks appropriate to the technician role. You will also be required to switch up to 66kV. You are required to have grade A*-C/4-9 GCSE in English and Maths or Functional Skills Level 2 qualification in both subjects. In addition, you must hold a City & Guilds 2339 Level 2 or equivalent Level 2 qualification in Electrical Engineering. Evidence of your qualifications will be required prior to appointment. Depending on experience, you may initially be appointed at a lower salary until all relevant courses and training are complete. Main Responsibilities The construction, reinforcement, alteration and replacement of assets. The maintenance and repair of assets. The restoration of supplies to customers and repair of faulty assets. The issue of safety documents up to 66kV. The organisation of individual projects. The cost effectiveness of individual projects. Own performance and behaviour. The impact of project and own activities on customers, public and environment. The health and safety of the team. The quality of own work. Own personal development. The identification of necessary physical resources. The effective use of contracts. The representation of the team and the Company at the individual level. Ideal Candidate You must be able to work on our own initiative as part of a small team and be capable of making on the spot decisions as required. You will need good communication skills, a flexible attitude and be able to cope in pressured situations often working to tight deadlines. In addition you will be expected to train as an SAP and be mobile throughout the area as you will be required to undertake standby duties. If not already attained, the successful candidate will be required to undertake a Level 3 City & Guilds 2339. National Grid Electricity Distribution is committed to safeguarding the interests of the Company, colleagues and customers. This role is subject to a satisfactory Barring Service (DBS) check. Depending on the role, different levels of screening and vetting are required. Some roles require a triannual check. About Us We’re National Grid Electricity Distribution (NGED), the owner and operator behind the electricity distribution systems for the Midlands, the Southwest of England and South Wales. Serving communities of more than 8 million people, our expert teams deliver heat, light and power for homes and businesses. National Grid employs over 29,000 people worldwide. We are building an inclusive workplace, a place to actively celebrate the cultures, personalities and preferences of our colleagues – who in turn help to build the success of our business and reflect the diversity of the communities we serve. Our vision is to be at the heart of a clean, fair and affordable energy future and we are doing this in a fast-moving industry with an increasing focus on tackling climate change, exploring new energy sources that are renewable, low carbon, and improve efficiency to meet demand.

SUMMARY Carpenter Foreman Job Title: Carpenter Foreman Job Overview: We are seeking an experienced and skilled Carpenter Foreman to lead and manage carpentry operations at project sites. The ideal candidate should possess strong technical carpentry skills, the ability to assign tasks effectively, and ensure accurate on-site measurements. Key Responsibilities: Perform high-quality carpentry work, including cutting, shaping, and installation. Supervise and allocate tasks to team members at the job site. Take accurate measurements and ensure all work aligns with project specifications. Monitor workflow and ensure timely completion of carpentry tasks. Maintain safety standards and quality control throughout the project. Requirements Requirements: Proven experience in carpentry, preferably in a supervisory or foreman role. Strong knowledge of construction tools, materials, and techniques. Ability to read blueprints and technical drawings. Excellent leadership and communication skills. Ability to work independently and manage a team on-site. Benefits Tax - Free Monthly Salary: OMR 180 250 (based on performance in online interview) Working Hours: 10 hours per day Weekly Off: One day per week Accommodation: Provided free of cost Transportation & Medical: Free Employment Visa: 2-year contract Flight Ticket: Provided by the company

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Develop and implement AI and machine learning strategies for healthcare domains Collaborate with cross-functional teams to identify and prioritize AI and machine learning initiatives 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 Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s degree or higher in computer science engineering with a focus on language processing 8+ years of experience in Software Engineering, Data Science, or Analytics with 4+ years of experience in AI/ML engineering or related fields Experience in developing solutions in the NLP space and relevant projects Hands on Experience in AI and drive the development of innovative AI and machine learning solutions Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc. Experience with Azure development environments Experience with using and deploying LLMs Knowledge of NLP literature, thrust areas, conference venues, and code repositories Familiarity with both open-source and OpenAI LLMs and RAG architecture Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering. Proficient in Python and one of PySpark. Familiarity with python tools for data processing Proficiency in Python, R, or other programming languages for data analysis and AI/ML development Proven ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML) Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions Proven hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.

Designation: AI/ML Engineer Location: Gurugram Experience: 3+ years Budget: Upto 35 LPA Industry: AI Product Role and Responsibilities: Model Development: Design, train, test, and deploy machine learning models using frameworks like Pytorch and TensorFlow, specifically for virtual try-on applications with a focus on draping and fabric simulation. Task-Specific Modeling: Build models for tasks such as Natural Language Processing (NLP), Speech-to-Text (STT), and Text-to-Speech (TTS) that integrate seamlessly with computer vision applications in the virtual try-on domain. Image Processing: Implement advanced image processing techniques including enhancement, compression, restoration, filtering, and manipulation to improve the accuracy and realism of draping in virtual try-on systems. Feature Extraction & Segmentation: Apply feature extraction methods, image segmentation techniques, and draping algorithms to create accurate and realistic representations of garments on virtual models. Machine Learning Pipelines: Develop and maintain ML pipelines for data ingestion, processing, and transformation to support large-scale deployments of virtual try-on solutions. Deep Learning & Draping: Build and train convolutional neural networks (CNNs) for image recognition, fabric draping, and texture mapping tasks crucial to the virtual try-on experience. AI Fundamentals: Leverage a deep understanding of AI fundamentals, including machine learning, computer vision, draping algorithms, and generative AI (Gen AI) techniques to drive innovation in virtual try-on technology. Programming: Proficiently code in Python and work with other programming languages like Java, C++, or R as required. Cloud Integration: Utilize cloud-based AI platforms such as AWS, Azure, or Google Cloud to deploy and scale virtual try-on solutions, with a focus on real-time processing and rendering. Data Analysis: Perform data analysis and engineering to optimize the performance and accuracy of AI models, particularly in the context of fabric draping and garment fitting. Continuous Learning: Stay informed about the latest trends and developments in machine learning, deep learning, computer vision, draping technologies, and generative AI (Gen AI), applying them to virtual try-on projects. Skills Required: Experience: Minimum of 5 years in Computer Vision Engineering or a similar role, with a focus on virtual try-on, draping, or related applications. Programming: Strong programming skills in Python, with extensive experience in Pytorch and TensorFlow. Draping & Fabric Simulation: Hands-on experience with draping algorithms, fabric simulation, and texture mapping techniques. Data Handling: Expertise in data pre-processing, feature engineering, and data analysis to support high-quality model development, especially for draping and virtual garment fitting. Deep Neural Networks & Gen AI: Extensive experience in working with Deep Neural Networks, Generative Adversarial Networks (GANs), Conditional GANs, Transformers, and other generative AI techniques relevant to virtual try-on and draping. Advanced Techniques: Proficiency with cutting-edge techniques like Stable Diffusion, Latent Diffusion, InPainting, Text-to-Image, Image-to-Image models, and their application in computer vision and virtual try-on technology. Algorithm Knowledge: Strong understanding of machine learning algorithms and techniques, including deep learning, supervised and unsupervised learning, reinforcement learning, natural language processing, and generative AI.

Job Title: Data Scientist – Agentic AI Company: Pranathi Software Services Pvt. Ltd. Location: Hyderabad, India Job Type: Full-Time | Onsite/Hybrid Experience Level: Ph.D. with 0–2+ Years in AI Research or Applied ML About Pranathi Software Services Pvt. Ltd.: Pranathi Software is a fast-growing IT solutions company focused on innovation, emerging technologies, and building scalable solutions for global clients. We are now expanding into next-generation AI systems and are looking for exceptional talent to lead our research in Agentic Artificial Intelligence. Required Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Cognitive Systems, or related fields. Deep understanding of Agentic AI, Reinforcement Learning, Multi-Agent Systems, or LLM-based Agents. Experience with frameworks such as LangChain, AutoGPT, OpenAI Gym, or Ray. Strong coding skills in Python and experience with PyTorch, TensorFlow, or JAX. Proven track record of academic publications and research impact. Interested can share your resume at giribabu@pranathiss.com