2025 Reinforcement Jobs - Page 7

HCLTech is looking for a highly talented and self- motivated [ Principal Software Engineer to join it in advancing the technological world through innovation and creativity. Job Title: Principal Software Engineer Role/Responsibilities Gen AI capability development - Design, fine-tune, and optimize LLMs, retrieval-augmented generation (RAG), and reinforcement learning models for IT automation. Experiment with cutting-edge AI techniques, including multi-agent architectures, prompt tuning, and continual learning. 6+ years of experience in a similar role, with a strong focus on developing & deploying machine learning models in production environments. Improve model accuracy, latency, and efficiency, ensuring optimal performance for deployed ML applications. Design and implement CI/CD pipelines for deploying machine learning models to production environments Automate the processes involved in training, testing, deploying, and monitoring models to ensure smooth and continuous operations. Develop tools and frameworks for monitoring model performance and stability in production, ensuring models remain accurate and effective over time. Work closely with data scientists and data engineers to integrate machine learning models with existing data infrastructure Manage cloud-based machine learning environments, ensuring scalability, security, and cost-efficiency. Optimize models for production, focusing on performance, scalability, and resource utilization Create and maintain comprehensive documentation for processes, pipelines, and system architecture. Proficiency in Python and demonstrable expertise in at-least one of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with LLMs and finetuning models Experience with CI/CD tools (e.g., Jenkins, GitLab CI, Gitub Actions) and containerization (e.g., Docker, Kubernetes). Hands-on Knowledge of cloud platforms (e.g., AWS, GCP, Azure, Databricks) and cloud-native tools for MLOps. Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack). Experience with infrastructure-as-code tools (e.g., Terraform, Ansible). Familiarity with data engineering workflows and ETL processes. Knowledge of model explainability and fairness considerations in production. Working knowledge of Databricks is a huge plus. How You’ll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Company Description Antt AI is pioneering the era of Physical AI by building intelligent, autonomous agents for the real world. We design and deploy semi-humanoid robots that automate tasks across hospitality, retail, and last-mile delivery, enhancing customer experience and operational efficiency. Our robots use advanced computer vision, real-time decision-making, and robust hardware integration to navigate and interact in complex environments. Powered by our proprietary AI agent stack, Antt AI is bridging the gap between digital intelligence and physical action. Role Description We’re looking for a passionate and hands-on Robotics Intern to join our AI/ML team. You will work on training and fine-tuning AI models, and assist with robotics hardware and simulators for data collection and validation. This is a 6-month paid internship based in Bengaluru , with the possibility of a full-time role based on performance. Qualifications Strong python programming skills. Experience with one or more of the following: Vision-Language-Action (VLA) models, Reinforcement Learning, or robot simulation environments such as Isaac Sim. Prior hands-on experience with robotics platforms (college projects, personal builds, or competitions). If you're excited about robotics and AI, and have hands-on experience to show— we’d love to hear from you . Please share details of your past projects or contributions , along with your resume.

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role We seek a highly skilled Senior Machine Learning Engineer / Senior Data Scientist to design, develop, and deploy advanced machine learning models and systems. The ideal candidate will have deep expertise in machine learning algorithms, data processing, and model deployment, with a proven track record of delivering scalable AI solutions in production environments. This role requires strong technical leadership, collaboration with cross-functional teams, and a passion for solving complex problems. Key tasks & accountabilities Model Development: Design, develop, and optimize machine learning models for various applications, including but not limited to natural language processing, computer vision, and predictive analytics. Data Pipeline Management: Build and maintain robust data pipelines for preprocessing, feature engineering, and data augmentation to support model training and evaluation. Model Deployment: Deploy machine learning models into production environments, ensuring scalability, reliability, and performance using tools like Docker, Kubernetes, or cloud platforms preferably Azure. Research and Innovation: Stay updated on the latest advancements in machine learning and AI, incorporating state-of-the-art techniques into projects to improve performance and efficiency. Collaboration: Work closely with data scientists, software engineers, product managers, and other stakeholders to translate business requirements into technical solutions. Performance Optimization: Monitor and optimize model performance, addressing issues like model drift, bias, and scalability challenges. Code Quality: Write clean, maintainable, and well-documented code, adhering to best practices for software development and version control (e.g., Git). Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of learning and innovation within the team. Qualifications, Experience, Skills Level Of Educational Attainment Required Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. PhD is a plus. Previous Work Experience 5+ years of experience in machine learning, data science, or a related field. Proven experience in designing, training, and deploying machine learning models in production. Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes). Technical Skills Required Proficiency in Python and libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Strong understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning, reinforcement learning, optimization). Experience with big data technologies (e.g., Hadoop, Spark, or similar) and data processing pipelines. Familiarity with MLOps practices, including model versioning, monitoring, and CI/CD for ML workflows. Knowledge of software engineering principles, including object-oriented programming, API development, and microservices architecture. Other Skills Required Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced, dynamic environment and manage multiple priorities. Experience with generative AI models or large language models (LLMs). Familiarity with distributed computing or high-performance computing environments. And above all of this, an undying love for beer! We dream big to create future with more cheers

The Little Gym is the world’s leading enrichment and physical development center for children aged 4 months to 12 years. Our movement-based learning programs focus on imaginative play and help children build confidence, motor skills, and social skills as they grow. We are looking for a dedicated and enthusiastic Fitness Trainer to join our team in Calicut. Key Responsibilities : Conduct age-appropriate classes and activities based on The Little Gym’s curriculum. Ensure classes are fun, engaging, and educational for children of all ages. Encourage physical, social, and emotional development in children through structured activities. Provide positive reinforcement and foster self-confidence in children. Build strong relationships with children and their families. Actively engage with parents to update them on their child’s progress and development. Follow safety guidelines and ensure children’s well-being during all activities. Job Type: Full-time Pay: ₹8,086.00 - ₹25,000.00 per month Benefits: Cell phone reimbursement Schedule: Day shift Experience: total work: 1 year (Preferred) Work Location: In person

We are excited to share a fantastic opportunity for the AI Lead/Sr. AI-ML Engineer position at Gritstone Technologies . We believe your skills and experience could be a perfect match for this role, and we would love for you to explore this opportunity with us. Design and implement scalable, high-performance AI/ML architectures with Python tailored for real-time and batch processing use cases. Lead the development of robust, end-to-end AI pipelines, including advanced data preprocessing, feature engineering, model development, and deployment. Define and drive the integration of AI solutions across cloud-native platforms (AWS, Azure, GCP) with optimized cost-performance trade-offs. Architect and deploy multimodal AI systems, leveraging advanced NLP (e.g., LLMs, OpenAI-based customizations, scanned invoice data extraction), computer vision (e.g., inpainting, super-resolution scaling, video-based avatar generation), and generative AI technologies (e.g., video and audio generation). Integrate domain-specific AI solutions, such as reinforcement learning, and self-supervised learning models. Implement distributed training and inferencing pipelines using state-of-the-art frameworks. Drive model optimization through quantization, pruning, sparsity techniques, and mixed-precision training to maximize performance across GPU hardware. Develop scalable solutions using large vision-language models (VLMs) and large language models (LLMs). Define and implement MLOps practices for version control, CI/CD pipelines, and automated model deployment using tools like Kubernetes, Docker, Kubeflow, and FastAPI. Enable seamless integration of databases (SQL Server, MongoDB, NoSQL) with AI workflows. Drive cutting-edge research in AI/ML, including advancements in RLHF, retrieval-augmented generation (RAG), and multimodal knowledge graphs. Experiment with emerging generative technologies, such as diffusion models for video generation and neural audio synthesis. Collaborate with cross-functional stakeholders to deliver AI-driven business solutions aligned with organizational goals. null 5+ years of Experience

DESCRIPTION Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP. BASIC QUALIFICATIONS Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in Spanish language for the following: verbal, writing, reading and comprehension. Required language level: B2.2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA PREFERRED QUALIFICATIONS Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, HR, Gurugram Editorial, Writing, & Content Management

Overview Intuit is seeking a Sr Data Scientist to join our Data sciences in Intuit India. The AI team develops game changing technologies and experiments that redefine and disrupt our current product offerings. You’ll be building and prototyping algorithms and applications on top of the collective financial data of 100 million consumers and small businesses. Applications will span multiple business lines, including personal finance, small business accounting, and tax. You thrive on ambiguity and will enjoy the frequent pivoting that’s part of the exploration. Your team will be very small and team members frequently wear multiple hats. In this position you will have close collaboration with the engineering and design teams, as well as the product and data teams in business units. Your role will range from research experimentalist to technology innovator to consultative business facilitator. You must be comfortable partnering with those directly involved with big data infrastructure, software, and data warehousing, as well as product management. What you'll bring MS or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.). 2+ years of experience with data science for PhD and 5+ years for Masters. Experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn. Efficient in SQL, Hive, or SparkSQL, etc. Comfortable in Linux environment Experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining. Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences Preferred Additional Experience Apache Spark The Hadoop ecosystem Java HP Vertica TensorFlow, reinforcement learning Ensemble Methods, Deep Learning, and other topics in the Machine Learning community Familiarity with GenAI and other LLM and DL methods How you will lead Perform hands-on data analysis and modeling with huge data sets. Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products. Discover data sources, get access to them, import them, clean them up, and make them “model-ready”. You need to be willing and able to do your own ETL. Create and refine features from the underlying data. You’ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you’ll lather, rinse and repeat. Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders. Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.

About Company: our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.They 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 our clients 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. Job Description: Job Title: Java Developer Location : Bangalore Experience: 6+ yrs. Employment Type: Contract to hire. Work Mode: Hybrid Notice Period: - Immediate joiners only Roles and Responsibilities: Job Description:- Minimum 6+ years of overall experience Strong experience with at least one of the following languages: Java 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.

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: 7+ years of experience as a backend or full-stack engineer with a strong backend focus Advanced proficiency in Python Practical experience integrating LLMs (e.g., RAG pipelines, agent frameworks, LangChain, LangGraph, or similar) Background in machine learning engineering is a strong plus Solid understanding of service architecture and production deployment workflows.

Job Title : AI/ML Engineer Experience : 2 - 5 Years Location : Gurgaon Key Skills : Python, TensorFlow, Machine Learning Algorithms Employment Type : Full-Time Compensation : 8 - 15 LPA Job Description We are seeking a highly motivated and skilled AI/ML Engineer to join our growing team in Gurgaon. The ideal candidate should have hands-on experience in developing and deploying machine learning models using Python and TensorFlow. You will work on designing intelligent systems and solving real-world problems using cutting-edge ML algorithms. Key Responsibilities Design, develop, and deploy robust ML models for classification, regression, recommendation, and anomaly detection tasks. Implement and optimize deep learning models using TensorFlow or related frameworks. Work with cross-functional teams to gather requirements, understand data pipelines, and deliver ML-powered features. Clean, preprocess, and explore large datasets to uncover patterns and extract insights. Evaluate model performance using standard metrics and implement strategies for model improvement. Automate model training and deployment pipelines using best practices in MLOps. Collaborate with data scientists, software developers, and product managers to bring AI features into production. Document model architecture, data workflows, and code in a clear and organized manner. Stay updated with the latest research and advancements in machine learning and AI. Requirements Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. 2-5 years of hands-on experience in developing and deploying ML models in real-world projects. Strong programming skills in Python and proficiency in ML libraries like TensorFlow, scikit-learn, NumPy, Pandas. Solid understanding of supervised, unsupervised, and deep learning algorithms. Experience with data wrangling, feature engineering, and model evaluation techniques. Familiarity with version control tools (Git) and deployment tools is a plus. Good communication and problem-solving skills. Preferred (Nice To Have) Experience with cloud platforms (AWS, GCP, Azure) and ML services. Exposure to NLP, computer vision, or reinforcement learning. Familiarity with Docker, Kubernetes, or CI/CD pipelines for ML projects. (ref:hirist.tech)

Department Production – UPVC Min Years of Exp. 4 yrs Job Location Hyderabad CTC 4.5 Job Description Plan, schedule and monitor material movement in the production line / cycle to ensure continuous operations. Evaluate production control activities to ensure that the final product meets customer specifications. Planning the material (Profiles and Reinforcement) and manpower availability requirements to meet production schedule. Coordinate with corporate Job Cards Team and Operations team and Customer service department to develop, publish and communicate production schedule internally in order to meet customer delivery dates Coordinating with Commercial Department regarding Loading Vehicles. Track material Profiles and Reinforcement and accessories) shortages andprovide immediate resolution by escalating to Production Manager. Daily material shortage list and coordinate with purchase for supply commitment. Daily Production plan and dispatch plan communication to dispatch team. Prepare and publish various reports such as Production Plan Vs Actual Schedule adherence report Daily updating Production Report and Dispatch Report. Responsible for making daily production plan according to customer requirement & meeting Daily production targets. Back to postings

Company Description Swapna Sounds is an advanced pro audio lighting rental company with years of experience in live sound reinforcement, stage lighting, and AV solutions. We provide high-quality equipment and expert technical support for concerts, corporate events, weddings, and more. Our services ensure crystal-clear sound and stunning visuals for every occasion. Whether you need powerful PA systems or complete event production support, we have got you covered. About the Role: We are looking for a results-driven Business Development Executive who can procure event projects, build client relationships, and identify opportunities for collaboration. Your main responsibility will be to bring in work for Swapna Sounds – including corporate events, weddings, concerts, political conferences, and more. Key Responsibilities: Identify and approach potential clients in the event, corporate, and entertainment sectors. Generate leads and convert them into business opportunities through meetings, calls, networking, and online reach-outs. Build strong relationships with event planners, agencies, production houses, hotels, and venues. Stay updated on upcoming events, tenders, and industry trends. Coordinate with the operations team to ensure client requirements are fulfilled. Attend client meetings, prepare proposals/quotations, and follow up regularly. Represent Swapna Sounds professionally in the market. Maintain a client database and provide weekly reports on leads and conversions. Requirements: Bachelor's degree in Business, Marketing, or a related field is preferred Strong communication and interpersonal skills Fluent in Malayalam and English (Tamil/Hindi is a plus) Confidence to meet clients in person and explain our services Self-driven with a strong sense of responsibility Basic knowledge of the event/AV industry is an advantage Willing to travel locally for client meetings or project visits Preferred Skills Networking and negotiation Familiarity with B2B sales or event industry Follow-up and CRM practices Presentation and pitching skills What We Offer Performance-based incentives Exposure to major event projects across India Supportive and experienced technical team Growth opportunities based on performance and results

Senior AI/ML Scientist(IC) – Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. The Brief In this role as an AI/ML Scientist on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings. You should be able to design, develop, and implement machine learning models, conduct deep data analysis, and support decision-making with data-driven insights. Responsibilities include building and validating predictive models, supporting experiment design, and integrating advanced techniques like transformers, GANs, and reinforcement learning into scalable production systems. The role requires solving complex problems using NLP, deep learning, optimization, and computer vision. You should be comfortable working independently, writing reliable code with automated tests, and contributing to debugging and refinement. You’ll also document your methods and results clearly and collaborate with cross-functional teams to deliver high-impact AI/ML solutions that align with business objectives and user needs. What I'll be doing – your accountabilities? Independently design and develop scalable AI/ML solutions using advanced design patterns, models and algorithms to analyse complex datasets and generate actionable insights Collaborate with stakeholders to translate business needs into AI/ML solutions, evaluate user journeys and challenge business requirements to ensure seamless, value driven delivery and integration of solutions Apply innovative problem-solving techniques, leveraging advanced methodologies to find unique approaches to complex problems and improve outcomes Investigate and resolve complex challenges in data pipelines, modelling, and deployment to ensure reliable solutions that meet performance benchmarks Mentor team members through code reviews, model validations, pairing sessions, and knowledge-sharing sessions, and contribute to Communities of Practice Effectively communicate modelling, infrastructure, and deployment choices to both technical and non-technical stakeholders Maintain detailed, impactful documentation, covering methodologies, data pipelines, model performance, and key design decisions to enable reproducibility and scalability Ensure readiness for production releases, focusing on testing, monitoring, observability, and maintaining scalability and reusability of models for future projects Drive cross-team and cross-discipline initiatives to optimize workflows, remove redundant applications and processes, share best practices, and enhance collaboration between teams Demonstrate awareness of shared platform capabilities and actively identify opportunities to leverage them in designing efficient and scalable AI/ML solutions Foundational Skills Mastered Data Analysis, Data Science and and AI & Machine Learning concepts and can demonstrate this skill in complex scenarios Programming and Statistical Analysis Skills beyond the fundamentals and can demonstrate the skills in most situations without guidance. Specialized Skills To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance: Data Validation and Testing Model Deployment Machine Learning Pipelines Deep Learning Natural Language Processing (NPL) Optimization & Scientific Computing Decision Modelling and Risk Analysis. Technical Documentation Qualifications & Requirements Bachelor's degree in B.E/BTech, preferably in computer science Experience with collaborative development workflow: IDE (Integrated Development Environment), Version control(github), CI/CD (e.g. automated tests in github actions) Communicate effectively with technical and non-technical audiences with experience in stakeholder management Structured, highly analytical mind-set and excellent problem-solving skills; Self-starter, highly motivated & Willing to share knowledge and work as a team. An individual who respects the opinion of others; yet can drive a decision though the team; Preferred Experiences 8+ years of years of relevant experience in the field of Data Engineering 5+ years of hands-on experience with Apache Spark, Python and SQL Experience working with large datasets and big data technologies to train and evaluate machine learning models. Experience with containerization: Kubernetes & Docker Expertise in building cloud native applications and data pipelines (Azure, Databricks, AWS, GCP) C Experience with common dashboarding and API technologies (PowerBI, Superset, Flask, FastAPI, etc As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

We’re AtkinsRéalis, a world class Engineering Services and Nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. Created by the integration of long-standing organizations dating back to 1911, we are a world-leading professional services company dedicated to engineering a better future for our planet and its people. We deploy global capabilities locally to our clients and deliver unique end-to-end services across the whole life cycle of an asset including consulting, advisory & environmental services, intelligent networks & cybersecurity, design & engineering, procurement, project & construction management, operations & maintenance, decommissioning and capital. The breadth and depth of our capabilities are delivered to clients in key strategic sectors. News and information are available at www.atkinsrealis.com or follow us on LinkedIn. Our teams take great pride in delivering some of the world’s most prestigious projects. This success is driven by our talented people, whose diverse perspectives, expertise, and knowledge set us apart. Join us and you'll be part of our genuinely collaborative environment, where everyone is supported to make the most of their talents and expertise. When it comes to work-life balance, AtkinsRéalis is a great place to be. So, let's discuss how our flexible and remote working policies can support your priorities. We're passionate about are work while valuing each other equally. So, ask us about some of our recent pledges for Women's Equality and being a 'Disability Confident' and 'Inclusive Employer’. AtkinsRéalis GTC (Global Technology Centre) is hiring an ALLPLAN Admin – Technical Manager to support the delivery of complex, multidisciplinary designs within the Nuclear, Industrial, Infrastructure sectors. In this leadership role, you will oversee a team of designers, provide technical direction and manage cross-discipline design coordination. This key post will be based out of Bangalore / Gurgaon where we have thriving AtkinsRéalis offices, which serve all AtkinsRéalis regions across the world. Our portfolio of work continues to grow, and we will offer a challenging and rewarding opportunity to apply knowledge, experience and problem-solving skills. Responsibilities Install, configure, and maintain ALLPLAN software across user workstations and servers. Manage user access, profiles, and licensing through Nemetscheck Account or network license manager. Set up and maintain ALLPLAN templates, including styles, label sets, and drawing settings. Coordinate with CAD/BIM managers for project standards and templates. Develop and enforce ISO 19650 standards to ensure seamless and consistent BIM workflow across projects. Create and manage ALLPLAN profiles, Asset management attributes. Configure and maintain user management in multi-user models. Support integration with CDE Environments like Projectwise, BIMplus for cloud-based collaboration. Coordinate with IT for software deployment and system compatibility. Monitor software performance and troubleshoot technical issues. Apply updates, patches, and service packs to keep ALLPLAN current and stable. Train users on ALLPLAN tools and workflows, including best practices. Provide technical support and resolve user issues promptly. Assist in the setup of Project coordinates, Site coordinate systems. Ensure compliance with local and national CAD/BIM standards (e.g., PPBIM, MINnD, NCS, DOT). Automate repetitive tasks using #pythonparts or .NET APIs. Coordinate with project managers and engineers to align CAD/BIM workflows with project goals. Maintain documentation for ALLPLAN configurations and standards. Support and develop interoperability workflows between ALLPLAN and Other tools. Required Skills And Experience Good communication skills in English. Engineering Graduate or Engineering Diploma with experience between 10+ Years mainly for Nuclear structures, Industrial structures and multidisciplinary of medium and large size. ALLPLAN Experience in preparation of Reinforced concrete (In-situ /Precast), Reinforcement detailing with BBS and Structural steel models. Preparation of reports such as feasibility studies, method statements, specifications, approval documents, design reports, schedules, construction drawings and bills of quantities. Experience in planning, costing and monitoring delivery of work packages within budget and program and a working knowledge of the management of project finances by use of the change control process. Highly IT literate, excellent command of standard Microsoft office software, knowledge of IT infrastructure and hardware. Excellent skills in Microsoft Word and Microsoft Excel. Desirable Skills And Experience Proficient in ALLPLAN and related design tools, with the ability to manage and integrate federated BIM models across disciplines such as Architecture, Structure, MEP, External Roads and Network utilities. Knowledge of France's RCC-CW 2018 standards is considered an added advantage. Experienced in setting up and managing clash detection workflows within the ALLPLAN models and BIM Federated models. Skilled in using Autodesk Navisworks and Newforma Konekt (previously BIM Track) for clash analysis, issue tracking, redlining, viewpoint management, and generating coordination reports. Involvement in QA/QC processes for model validation and compliance with AtkinsRéalis quality systems and standards. Capable of managing large-scale Federated models, ensuring coordination across multiple design teams and disciplines. Hands-on experience with BIM workflows in working on large-scale infrastructure or complex building projects. Familiar with ALLPLAN Visual Scripting to automate the tasks and enhance design efficiency. Well-versed in Common Data Environment (CDE) platforms, including Autodesk Construction Cloud, Bentley ProjectWise, BIMPlus for collaborative project delivery and centralized data management. Required Attributes High performing ability to work and integrate into multi-disciplinary teams and work independently. Ensuring your work is to the highest appropriate standards and in compliance with AtkinsRéalis quality systems and standards. Energetic and enthusiastic, with the desire to take on extra responsibilities and constantly upskilling team and oneself. Excellent written and spoken English communication within a business environment. Ability to exercise initiative, take ownership of project issues and work independently with excellent time management skills. You will demonstrate a high level of commitment, flexibility and be eager to accept responsibility and learn new skills, whilst always exercising an active interest in helping to solve technical problems faced by any member of the team. You will act with integrity and professionalism, gaining the trust of colleagues and setting an example to junior staff. What We Can Offer You Varied, interesting and meaningful work. A hybrid working environment with flexibility and great opportunities. Opportunities for training and, as the team grows, career progression or sideways moves. An opportunity to work within a large global multi-disciplinary consultancy on a mission to change the ways we approach business as usual. Why work for AtkinsRéalis? We at AtkinsRéalis are committed to developing its people both personally and professionally. Our colleagues have the advantage of access to a high ranging training portfolio and development activities designed to help make the best of individual’s abilities and talents. We also actively support staff in achieving corporate membership of relevant institutions. Meeting Your Needs To help you get the most out of life in and outside of work, we offer employees ‘Total Reward’. Making sure you're supported is important to us. So, if you identify as having a disability, tell us ahead of your interview, and we’ll discuss any adjustments you might need. Additional Information We are an equal opportunity, drug-free employer committed to promoting a diverse and inclusive community - a place where we can all be ourselves, thrive and develop. To help embed inclusion for all, from day one, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee networks to support staff from different backgrounds. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. We care about your privacy and are committed to protecting your privacy. Please consult our Privacy Notice on our Careers site to know more about how we collect, use and transfer your Personal Data. Link: Equality, diversity & inclusion | Atkins India (atkinsrealis.com)

We are looking for a highly skilled AI/ML/Gen AI Data Scientist with expertise in Generative AI, Machine Learning, Deep Learning, and Natural Language Processing (NLP) . The ideal candidate should have a strong foundation in Python-based AI frameworks and experience in developing, deploying, and optimizing AI models for real-world applications. Key Responsibilities Develop and implement AI/ML models . Work with Deep Learning architectures like Transformers (BERT, GPT, LLaMA) and CNNs/RNNs. Fine-tune and optimize Large Language Models (LLMs) for various applications. Design and train custom Machine Learning models using structured and unstructured data. Leverage NLP techniques such as text summarization, Named Entity Recognition (NER). Implement ML pipelines and deploy models in cloud environments (AWS/GCP/Azure). Collaborate with cross-functional teams to integrate AI-driven solutions into business applications. Stay updated with latest AI advancements and apply innovative techniques to improve model performance. Required Skills & Qualifications 1 to 3 years of experience in AI/ML, Deep Learning, and Generative AI . Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn . Hands-on experience with NLP models , including BERT, GPT, T5, LLaMA, and Stable Diffusion . Expertise in data preprocessing, feature engineering, and model evaluation . Experience with MLOps, cloud-based AI deployment, and containerization (Docker, Kubernetes) . Knowledge of vector databases and retrieval-augmented generation (RAG) techniques. Ability to fine-tune LLMs and work with prompt engineering . Strong problem-solving skills and ability to work in agile environments . Educational Requirements Bachelor's, Master's, or PhD in Computer Science/Artificial Intelligence/Information Technology Preferred Skills (Good To Have) Experience with Reinforcement Learning (RLHF) and multi-modal AI . Familiarity with AutoML, Responsible AI (RAI), and AI Ethics . Exposure to Graph Neural Networks (GNNs) and time-series forecasting. Contributions to open-source AI projects or research papers. Skills:- Machine Learning (ML), Generative AI, Artificial Intelligence (AI), Python and Large Language Models (LLM)

Urgent Hiring: Civil Foreman/Supervisor (Industrial Projects) Location: Sambhajinagar (Aurangabad), Maharashtra Company: Rohan Builders India Pvt.ltd Job Description We are urgently seeking a dedicated and experienced Civil Foreman/Supervisor for our large-scale industrial construction project in Sambhajinagar (Aurangabad), Maharashtra. The successful candidate will be a results-oriented leader with strong technical expertise in supervising civil works, specifically for industrial environments. Roles and Responsibilities Industrial Site Supervision: Lead and manage the daily execution of all civil works, ensuring compliance with technical specifications and project schedules for an industrial plant. Manage and allocate daily tasks to skilled and unskilled labour, including carpenters, steel fixers, and masons, ensuring high productivity and safety. Shuttering & Formwork for Industrial Structures: Supervise the erection and dismantling of formwork for heavy industrial structures, including machine foundations, trenches, pits, equipment bases, and retaining walls. Ensure formwork is robust, aligned correctly, and can withstand heavy concrete loads common in industrial construction. Heavy Reinforcement Works: Interpret complex Bar Bending Schedules (BBS) and structural drawings for heavily reinforced sections. Oversee the cutting, bending, and placement of steel reinforcement, ensuring strict adherence to designs for foundations and superstructures. Specialized Industrial Finishing: Supervise the laying and finishing of high-strength industrial flooring, such as VDF (Vacuum Dewatered Flooring) / Tremix flooring . Oversee the application of specialized coatings like epoxy flooring where required. Manage blockwork and plastering for ancillary buildings, control rooms, and utility areas, ensuring precise lines and levels. Desired Candidate Profile Experience: 8+ years of hands-on experience as a Civil Foreman or Supervisor. Mandatory Experience: Must have proven experience working on industrial projects such as factories, manufacturing plants, warehouses, or processing units. Education: 10 Th,Diploma in Civil Engineering or ITI Certificate (Civil / Construction) is strongly preferred. Location: Candidates from Sambhajinagar (Aurangabad) or those willing to relocate will be given preference. Perks and Benefits Competitive salary package based on experience and industry standards. Accommodation and food allowance may be provided. Opportunity to be part of a landmark industrial project in the region. Contact: Email : recruitment@rohanbuilders.com Whatsapp : 8484811539

AIML Engineer - MBM Relevant Experience: 5+ Years Location: Bangalore/Pune Employment Type: Full-time Shape the Future with Generative AI Are you passionate about harnessing cutting-edge Generative AI to create transformative real-world applications? Do you dream of building autonomous systems that learn, adapt, and make decisions independently? At Maersk, we’re reimagining how businesses solve complex problems with the power of Generative AI and Autonomous Agents. We’re looking for a AI/ML Engineer to join our dynamic team and play a pivotal role in building AI solutions that will define the future of intelligent systems. If you're excited about applying your expertise to projects that disrupt industries and drive measurable impact, we want to hear from you! This is an exciting opportunity for self-motivated engineers with technical expertise, creative problem-solving skills, and a talent for disruptive process transformation using AI/ML. What you'll do: Lead with autonomy: Take ownership of AI/ML projects from ideation to deployment, pushing boundaries of innovation. Design the future: Develop and fine-tune Generative AI models (LLMs, diffusion models, GANs, VAEs, etc.) to optimize SCP business processes and enhance productivity. Empower AI agents: Create agent AI architectures for autonomous decision-making, task delegation, and multi-agent collaboration using Agentic AI frameworks like AutoGPT. Innovate with LLM’s: Build & optimize LLM’s applications, leveraging RAG and build robust Machine Learning pipelines for NLP, Multimodal AI tasks. Work with cutting-edge tools: Harness the power of Vector Databases (e.g., Pinecone, FAISS, ChromaDB) and LLM APIs (OpenAI, Anthropic, Hugging Face, Mistral, Llama). Collaborate for impact: Partner with cross-functional teams to integrate AI solutions into real-world applications like chatbots, copilots, automation tools, etc.). Stay ahead: Perform continuous research on state-of-the-art AI methodologies, exploring advancements in Generative AI, Autonomous Agents, and NLP to drive innovation. Required Skills & Qualifications [Must have] Strong foundation in Machine Learning & Deep Learning with expertise in neural networks, optimization techniques and model evaluation. Experience with LLMs, Transformer architectures (BERT, GPT, LLaMA, Mistral, Claude, Gemini, etc.). Proficiency in Python, LangChain, Hugging Face transformers, MLOps. Experience with Reinforcement Learning and multi-agent systems for decision-making in dynamic environments. Knowledge of multimodal AI (integrating text, image, other data modalities into unified models. Nice-to-have Skills Experience with Prompt Engineering, Fine-tuning, and RAG techniques. Familiarity with Cloud Platforms (AWS, GCP, Azure) and deployment tools like Docker, Kubernetes, FastAPI, or Flask. Why Join Us: Innovate at scale: Work on groundbreaking Generative AI technologies that redefine what’s possible. Transform industries: Your work will directly impact how global organizations drive productivity and solve complex supply chain challenges. Collaborate with the best: Join a team of forward-thinking engineers, researchers, and product visionaries who are shaping the future of AI. Accelerate your growth: Enjoy opportunities to learn, grow, and lead in a fast-paced, innovation-driven environment. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

AIML Engineer– Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. We are responsible for moving 20 % of global trade & is on a mission to become the Global Integrator of Container Logistics. To achieve this, we are transforming into an industrial digital giant by combining our assets across air, land, ocean, and ports with our growing portfolio of digital assets to connect and simplify our customer’s supply chain through global end-to-end solutions, all the while rethinking the way we engage with customers and partners. The Brief In this role as an Associate AIML Engineer on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings. Data AI/ML (Artificial Intelligence and Machine Learning) Engineering involves the use of algorithms and statistical models to enable systems to analyse data, learn patterns, and make data-driven predictions or decisions without explicit human programming. AI/ML applications leverage vast amounts of data to identify insights, automate processes, and solve complex problems across a wide range of fields, including healthcare, finance, e-commerce, and more. AI/ML processes transform raw data into actionable intelligence, enabling automation, predictive analytics, and intelligent solutions. Data AI/ML combines advanced statistical modelling, computational power, and data engineering to build intelligent systems that can learn, adapt, and automate decisions. What I'll be doing – your accountabilities? Design, develop, and implement robust, scalable, and optimized machine learning and deep learning models, with the ability to iterate with speed Write and integrate automated tests alongside models or code to ensure reproducibility, scalability, and alignment with established quality standards Implement best practices in security, pipeline automation, and error handling using programming and data manipulation tools Identify and implement the right data-driven approaches to solve ambiguous and open-ended business problems, leveraging data engineering capabilities Research and implement new models, technologies, and methodologies and integrate these into production systems, ensuring scalability and reliability Apply creative problem-solving techniques to design innovative tools, develop algorithms and optimized workflows Independently manage and optimize data solutions, perform A/B testing, evaluate performance and evaluate performance of systems Understand technical tools and frameworks used by the team, including programming languages, libraries, and platforms and actively support debugging or refining code in projects Contribute to the design and documentation of AI/ML solutions, clearly detailing methodologies, assumptions, and findings for future reference and cross-team collaboration Collaborate across teams to develop and implement high-quality, scalable AI/ML solutions that align with business goals, address user needs, and improve performance Foundational Skills Have mastered the concepts and can demonstrate Programming skills in complex scenarios. Understands the below skills beyond the fundamentals and can demonstrate in most situations without guidance AI & Machine Learning Data Analysis Machine Learning Pipelines Model Deployment Specialized Skills To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance for the following skills: Deep Learning Statistical Analysis Data Engineering Big Data Technologies Natural Language Processing (NPL) Data Architecture Data Processing Frameworks Understands the basic fundamentals of Technical Documentation and can demonstrate in common scenarios with some guidance Qualifications & Requirements BSc/MSc/PhD in computer science, data science or related discipline with 5+ years of industry experience building cloud-based ML solutions for production at scale, including solution architecture and solution design experience Good problem solving skills, for both technical and non-technical domains Good broad understanding of ML and statistics covering standard ML for regression and classification, forecasting and time-series modeling, deep learning 4+ years of hands-on experience building ML solutions in Python, incl knowledge of common python data science libraries (e.g. scikit-learn, PyTorch, etc) Hands-on experience building end-to-end data products based on AI/ML technologies Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD Strong foundation with expertise in neural networks, optimization techniques and model evaluation Experience with LLMs, Transformer architectures (BERT, GPT, LLaMA, Mistral, Claude, Gemini, etc.). Proficiency in Python, LangChain, Hugging Face transformers, MLOps Experience with Reinforcement Learning and multi-agent systems for decision-making in dynamic environments. Knowledge of multimodal AI (integrating text, image, other data modalities into unified models Team player, eager to collaborate and good collaborator Preferred Experiences In addition to basic qualifications, would be great if you have… Hands-on experience with common OR solvers such as Gurobi Experience with a common dashboarding technology (we use PowerBI) or web-based frontend such as Dash, Streamlit, etc. Experience working in cross-functional product engineering teams following agile development methodologies (scrum/Kanban/…) Experience with Spark and distributed computing Strong hands-on experience with MLOps solutions, including open-source solutions. Experience with cloud-based orchestration technologies, e.g. Airflow, KubeFlow, etc Experience with containerization (Kubernetes & Docker) As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Associate AI/ML Scientist – Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. The Brief In this role as an AI/ML Scientist on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings. You should be able to design, develop, and implement machine learning models, conduct deep data analysis, and support decision-making with data-driven insights. Responsibilities include building and validating predictive models, supporting experiment design, and integrating advanced techniques like transformers, GANs, and reinforcement learning into scalable production systems. The role requires solving complex problems using NLP, deep learning, optimization, and computer vision. You should be comfortable working independently, writing reliable code with automated tests, and contributing to debugging and refinement. You’ll also document your methods and results clearly and collaborate with cross-functional teams to deliver high-impact AI/ML solutions that align with business objectives and user needs. What I'll be doing – your accountabilities? Design, develop, and implement machine learning models, conduct in-depth data analysis, and support decision-making with data-driven insights Develop predictive models and validate their effectiveness Support the design of experiments to validate and compare multiple machine learning approaches Research and implement cutting-edge techniques (e.g., transformers, GANs, reinforcement learning) and integrate models into production systems, ensuring scalability and reliability Apply creative problem-solving techniques to design innovative models, develop algorithms, or optimize workflows for data-driven tasks Independently apply data-driven solutions to ambiguous problems, leveraging tools like Natural Language Processing, deep learning frameworks, machine learning, optimization methods and computer vision frameworks Understand technical tools and frameworks used by the team, including programming languages, libraries, and platforms and actively support debugging or refining code in projects Write and integrate automated tests alongside their models or code to ensure reproducibility, scalability, and alignment with established quality standards Contribute to the design and documentation of AI/ML solutions, clearly detailing methodologies, assumptions, and findings for future reference and cross-team collaboration Collaborate across teams to develop and implement high-quality, scalable AI/ML solutions that align with business goals, address user needs, and improve performance Foundational Skills Mastered Data Analysis and Data Science concepts and can demonstrate this skill in complex scenarios AI & Machine Learning, Programming and Statistical Analysis Skills beyond the fundamentals and can demonstrate the skills in most situations without guidance. Specialized Skills To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance: Data Validation and Testing Model Deployment Machine Learning Pipelines Deep Learning Natural Language Processing (NPL) Optimization & Scientific Computing Decision Modelling and Risk Analysis. To understand fundamentals and can demonstrate this skill in common scenarios with guidance: Technical Documentation. Qualifications & Requirements Bachelor's degree in B.E/BTech, preferably in computer science Experience with collaborative development workflow: IDE (Integrated Development Environment), Version control(github), CI/CD (e.g. automated tests in github actions) Communicate effectively with technical and non-technical audiences with experience in stakeholder management Structured, highly analytical mind-set and excellent problem-solving skills; Self-starter, highly motivated & Willing to share knowledge and work as a team. An individual who respects the opinion of others; yet can drive a decision though the team; Preferred Experiences 5+ years of years of relevant experience in the field of Data Engineering 3+ years of hands-on experience with Apache Spark, Python and SQL Experience working with large datasets and big data technologies to train and evaluate machine learning models. Experience with containerization: Kubernetes & Docker Expertise in building cloud native applications and data pipelines (Azure, Databricks, AWS, GCP) C Experience with common dashboarding and API technologies (PowerBI, Superset, Flask, FastAPI, etc As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Lead Sofware Engineer - Simulations(with ML Background) - Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. The Brief We are seeking a Lead Software Engineer with deep experience in simulation systems and a solid foundation in machine learning to lead the architecture and development of our next-generation simulation and digital twin platforms. This role blends technical leadership with hands-on engineering, guiding the design of simulation systems that model real-world environments and power intelligent, ML-driven decision-making. You’ll be responsible for leading simulation efforts that generate actionable insights, synthetic data, and predictive capabilities — while also influencing how ML models are built, trained, and deployed within these environments. What I'll be doing – your accountabilities/responsibilities? Architect and lead simulation platforms that model complex systems across time, agents, and interactions. Bridge simulation systems with ML workflows: data generation, model training/testing, reinforcement learning, etc. Define system architecture, technology choices, and software patterns for scalable, high-performance simulation and ML integration. Collaborate with ML engineers, data scientists, and domain experts to enable closed-loop simulations for forecasting, optimization, and control. Lead cross-functional engineering efforts across simulation, data, and ML infrastructure teams. Mentor engineers across disciplines, setting technical standards and fostering a high-performance culture. Own end-to-end delivery of simulation-enabled intelligent systems — from ideation to production. Develop and optimize algorithms for discrete-event simulation, agent-based modeling. Support scenario testing, what-if analysis, and optimization workflows using simulation outputs. Ensure models are modular, extensible, and easily integrated with external services/platforms (e.g., dashboards, analytics, AI agents). Foundational /Must Have Skills Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field. 12+ years of software engineering experience, with 3+ years leading teams or major initiatives. Demonstrated experience in simulation platforms (e.g., SimPy, Mesa, CARLA, Unity, AnyLogic, or custom-built engines). Strong programming skills in Python (required); additional languages like C++, Rust, or Julia are a plus. Deep understanding of ML principles — model pipelines, data engineering, evaluation, and deployment. Experience working with synthetic data, simulators for ML training/testing, or RL environments (e.g., OpenAI Gym, Isaac Sim, Unity ML-Agents). Solid grasp of software architecture, distributed systems, and CI/CD pipelines. Preferred To Have Experience with reinforcement learning, decision-making under uncertainty, or control systems. Familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) and MLOps tools (e.g. MLflow, Weights & Biases). Background in simulation-heavy domains such as robotics, logistics, autonomous systems. Familiarity with cloud infrastructure (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Strong communication and cross-functional leadership skills — able to align engineers, ML teams, and product stakeholders. As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Software Engineer - Simulations – Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. The Brief We are seeking a passionate and skilled Software Engineer to join our Forecasting and Simulation team. In this role, you’ll help design, develop, and scale simulation systems that digitally replicate real-world environments, assets, and systems. Your work will enable predictive analysis, real-time monitoring, and scenario testing — helping inform mission-critical decisions. This is a high-impact, hands-on engineering role for someone excited about complex systems, modeling real-world behavior, and building robust simulation engines or platforms. What I'll be doing – your accountabilities / responsibilities? Design and develop simulation engines, tools, and infrastructure to support digital twin applications. Build scalable software systems that model physical, operational, and behavioural characteristics of real-world systems. Collaborate with domain experts to translate real-world systems into digital representations. Integrate simulation engines with real-time data sources (IoT, sensors, APIs) for dynamic updates and predictive modeling. Develop and optimize algorithms for discrete-event simulation, agent-based modeling. Support scenario testing, what-if analysis, and optimization workflows using simulation outputs. Ensure models are modular, extensible, and easily integrated with external services/platforms (e.g., dashboards, analytics, AI agents). Contribute to technical documentation and simulation framework architecture. Foundational / Must Have Skills Lead all aspects of Software Development Lifecyle (SDLC) in-line with Agile and IT craftsmanship principles Constantly learn technologies and mentor teams, be a leader & drive the culture of researching & implementing in products Write secure, scalable & clean code along with unit tests Perform code reviews and ensure the quality of code, constantly! Troubleshoot, debug and upgrade software & infrastructure. Thrive in a DevOps culture where we build & support the application E2E Proficiency in Python, C++, or Rust (Python preferred for data-driven simulations). Experience with simulation frameworks (e.g., SimPy, AnyLogic, Unity, Gazebo, OpenModelica, Dymola, or custom-built engines). Strong grasp of system modeling, discrete event systems, or continuous system dynamics. Understanding of software design patterns, data structures, and algorithms. Nice to Have Familiarity with IoT data pipelines, message brokers (MQTT, Kafka), or real-time data integration. Exposure to multi-agent systems, reinforcement learning, or optimization libraries (e.g., Pyomo, OR-Tools). Background in industries like logistics and supply chain. Experience working with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes). Qualifications & Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Math, Physics. 5+ years of experience in software engineering with a focus on simulation, modeling, or complex systems. Experience with collaborative development workflow: IDE (Integrated Development Environment), Version control(github), CI/CD (e.g. automated tests in github actions) Communicate effectively with technical and non-technical audiences with experience in stakeholder management Structured, highly analytical mind-set and excellent problem-solving skills; Self-starter, highly motivated & Willing to share knowledge and work as a team. An individual who respects the opinion of others; yet can drive a decision though the team; As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. ________________________________________

Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. ________________________________________

Job Title: Data Scientist Location: Chennai (Work From Office) Experience: 4 - 8 years About Us: At Objectways, we are at the forefront of AI innovation, solving real-world problems using cutting-edge machine learning and reasoning technologies. Our team works on ambitious projects involving agent trajectory prediction, complex reasoning systems, multimodal intelligence, and preference-based learning. We're looking for a talented Data Scientist eager to push the boundaries of applied AI. Role Overview: We are seeking an experienced Data Scientist (minimum 4 years) to work across a diverse range of AI projects, including: Machine Learning model development Agent Trajectory prediction and modeling Complex Reasoning and Decision Systems Preference Ranking & Reinforcement Learning Multimodal Reasoning (Text, Image, Audio) Prompt Validation and Evaluation for LLMs Key Responsibilities: Design and build ML models for structured and unstructured data Conduct agent-based simulations and develop trajectory learning systems Apply preference learning techniques for fine-tuned ranking outcomes Handle multimodal datasets and develop reasoning pipelines across modalities Validate and optimize prompts for large language model performance Translate research into scalable, production-level implementations Collaborate with cross-functional teams (Engineering, Product, Research) Required Qualifications: Minimum 4 years of hands-on experience in Data Science or Machine Learning roles Strong foundation in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools Proven expertise in one or more: trajectory modeling, preference ranking, or multimodal systems Experience with LLM prompt engineering and evaluation techniques Solid understanding of complex reasoning algorithms, graph-based methods, or causal inference Strong problem-solving, analytical thinking, and communication skills Preferred Skills: Familiarity with tools like LangChain, Hugging Face, or OpenAI APIs Exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning Experience with deploying ML models in production environments (e.g., using Docker, MLflow) Why Join Us: Work on high-impact, next-generation AI challenges Collaborate with top talent across domains Competitive salary + benefits + learning budget

Role & responsibilities BE(Civil) / Diploma in Civil (DCE) Senior Rebar Detailer : We are seeking an experienced Senior Rebar Detailer with at least 5 years of expertise in US detailing. The ideal candidate will possess a deep understanding of construction practices, with a strong focus on ACI codes and relevant US construction standards. You will be responsible for detailing, checking shop drawings, and coordinating with the internal project team & US Project managers. Key Responsibilities: Prepare detailed rebar shop drawings and BBS according to project specifications. Ensure all detailing complies with ACI - 318, CRSI and other applicable US standards. Collaborate with project managers for seamless project execution. Review and revise drawings based on markups from the design team. Assist in resolving any detailing issues during detailing. Key Requirements: 5+ years of experience in rebar detailing for US projects. Proficiency in relevant detailing software (AutoCAD, ZW Cad , Rebar Cad, RGS Cad, Revit, or equivalent). Strong knowledge of US construction practices and detailing standards. Excellent communication and teamwork skills. Attention to detail and problem-solving abilities. Willingness to work in Evening shift. Junior Rebar Detailer : We are looking for a motivated Junior Rebar Detailer with a minimum of 1 year of experience in US detailing. The successful candidate will assist in creating accurate rebar shop drawings and BBS while learning and growing within a dynamic team. Knowledge of construction practices and an understanding of IS/ ACI codes will be required. Key Responsibilities: Assist in preparing rebar shop drawings and BBS under supervision. Ensure compliance with ACI 318 and US industry standards. Work closely with senior detailers and project teams. Perform revisions and updates to drawings based on project requirements. Help resolve basic detailing issues as they arise. Key Requirements: Minimum 1 year of experience in rebar detailing for US projects. Basic proficiency in detailing software (AutoCAD, ZW Cad, Rebar Cad, Revit, or equivalent). Sound technical knowledge and understanding of construction practices and standards. Willingness to learn and develop technical skills. Good communication skills.l. Willingness to work in assigned shifts: Evening shift for male candidates and morning shift for female candidates. For all posts : Ability to quickly learn and understand different structures and construction sequences. Willingness to work in shifts as required by project demands. Proficiency in drafting software, particularly AutoCAD (for Junior Rebar Detailers). Fresher can also apply for Trainees. We offer a supportive learning environment for trainees and excellent career advancement opportunities for all. Perks and Benefits: Competitive salary aligned with industry standards. Opportunities for rapid career growth. Project-based incentives and opportunities to earn extra with weekend work. Five-day work week for better work-life balance. A positive and collaborative work culture. Diwali bonus. Free breakfast for morning shifts and snacks for evening shifts. Provident Fund (PF) and Gratuity for long-term financial security. Special conveyance allowance and shift allowance. Interest-free loan options. Email your resume to: careers@iconicrebar.com