2025 Reinforcement Jobs - Page 2

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Associate Job Description & Summary A career within Internal Audit services, will provide you with an opportunity to gain an understanding of an organisation’s objectives, regulatory and risk management environment, and the diverse needs of their critical stakeholders. We focus on helping organisations look deeper and see further considering areas like culture and behaviours to help improve and embed controls. In short, we seek to address the right risks and ultimately add value to their organisation. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true saelves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within…. Responsibilities: Architecture Design: · Design and implement scalable, secure, and high-performance architectures for Generative AI applications. · Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development and Deployment: · Fine-tune pre-trained generative models for domain-specific use cases. · Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. · Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. · Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. · Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation and Strategy: · Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. · Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. · Good exposure to Agentic Design patterns Collaboration and Leadership: · Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. · Mentor and guide team members on AI/ML best practices and architectural decisions. · Should be able to lead a team of data scientists, GenAI engineers and Software Developers. Performance Optimization: · Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. · Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical and Responsible AI: · Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. · Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Mandatory skill sets: · Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. · Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). · Should have strong knowledge on LLM’s foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Model’s like Llama 3.2, Phi etc. · Proven track record with event-driven architectures and real-time data processing systems. · Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. · Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. · Knowledge of containerization technologies such as Kubernetes and Docker. · Comprehensive understanding of data lakes and strategies for data management. · Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. · Proficiency in cloud computing platforms such as Azure or AWS. · Exceptional leadership, problem-solving, and analytical abilities. · Superior communication and collaboration skills, with experience managing high-performing teams. · Ability to operate effectively in a dynamic, fast-paced environment. Preferred skill sets: · Experience with additional technologies such as Datadog, and Splunk. · Programming languages like C#, R, Scala · Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Years of experience required: 0-1 Years Education qualification: · BE / B.Tech / MCA / M.Sc / M.E / M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor in Business Administration, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Java Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Emotional Regulation, Empathy, Financial Accounting, Financial Audit, Financial Reporting, Financial Statement Analysis, Generally Accepted Accounting Principles (GAAP) {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Associate Job Description & Summary A career within Internal Audit services, will provide you with an opportunity to gain an understanding of an organisation’s objectives, regulatory and risk management environment, and the diverse needs of their critical stakeholders. We focus on helping organisations look deeper and see further considering areas like culture and behaviours to help improve and embed controls. In short, we seek to address the right risks and ultimately add value to their organisation. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true saelves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within…. Responsibilities: Architecture Design: · Design and implement scalable, secure, and high-performance architectures for Generative AI applications. · Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development and Deployment: · Fine-tune pre-trained generative models for domain-specific use cases. · Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. · Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. · Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. · Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation and Strategy: · Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. · Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. · Good exposure to Agentic Design patterns Collaboration and Leadership: · Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. · Mentor and guide team members on AI/ML best practices and architectural decisions. · Should be able to lead a team of data scientists, GenAI engineers and Software Developers. Performance Optimization: · Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. · Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical and Responsible AI: · Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. · Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Mandatory skill sets: · Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. · Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). · Should have strong knowledge on LLM’s foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Model’s like Llama 3.2, Phi etc. · Proven track record with event-driven architectures and real-time data processing systems. · Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. · Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. · Knowledge of containerization technologies such as Kubernetes and Docker. · Comprehensive understanding of data lakes and strategies for data management. · Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. · Proficiency in cloud computing platforms such as Azure or AWS. · Exceptional leadership, problem-solving, and analytical abilities. · Superior communication and collaboration skills, with experience managing high-performing teams. · Ability to operate effectively in a dynamic, fast-paced environment. Preferred skill sets: · Experience with additional technologies such as Datadog, and Splunk. · Programming languages like C#, R, Scala · Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Years of experience required: 0-1 Years Education qualification: · BE / B.Tech / MCA / M.Sc / M.E / M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor in Business Administration, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Java Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Emotional Regulation, Empathy, Financial Accounting, Financial Audit, Financial Reporting, Financial Statement Analysis, Generally Accepted Accounting Principles (GAAP) {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Quantum Engineer – Quantum Computing & AI Applications (Senior) EY Consulting Digital Engineering is seeking a talented and driven Quantum Engineer to join our next-generation innovation team. With 4–6 years of experience in quantum computing, machine learning, and AI integration, you will be at the forefront of building and deploying cutting-edge quantum-enabled solutions that solve complex industry challenges. Your technical acumen, curiosity, and problem-solving mindset will help shape scalable applications that leverage the power of emerging quantum technologies. The Opportunity As a Quantum Engineer, you will be part of a specialized team solving real-world problems using quantum algorithms, simulators, and AI-driven approaches. This is a high-impact opportunity to work at the intersection of theoretical research and practical engineering, collaborating with clients, researchers, and cross-functional teams to prototype and operationalize quantum solutions across domains like optimization, cryptography, material science, and machine learning. Your Key Responsibilities Design and implement quantum algorithms using platforms such as Qiskit, Cirq, PennyLane, or Braket, aligned to client and industry use cases. Integrate AI/ML models with quantum circuits or hybrid systems to demonstrate real-world quantum advantage. Evaluate and compare performance across quantum simulators and hardware backends, optimizing code for noise resilience and scalability. Work closely with data science and cloud teams to build hybrid quantum-classical workflows using cloud-native environments (AWS Braket, Azure Quantum, IBM Quantum). Translate complex quantum concepts into functional prototypes with measurable business outcomes. Collaborate with domain experts to define use cases, benchmark solutions, and guide PoCs and MVPs. Contribute to technical documentation, research papers, whitepapers, and client presentations. Stay on the cutting edge of quantum computing advancements, ensuring EY’s solutions remain future-ready and aligned with the technology roadmap. Soft Skills Strong analytical and abstract reasoning skills, able to work through complex, multidimensional problems. Excellent communication skills—capable of translating advanced technical content into actionable insights for non-technical stakeholders. A collaborative mindset with the ability to work in fast-paced, multidisciplinary teams. Curiosity and passion for emerging tech—especially quantum’s role in shaping the future of computation. To Qualify for the Role, You Must Have A Bachelor’s or Master’s degree in Physics, Computer Science, Quantum Information, or a related technical discipline. 4–6 years of hands-on experience in quantum computing tools and libraries like Qiskit, Cirq, PennyLane, t|ket>, or Braket. Proven experience integrating AI/ML techniques (e.g., neural networks, reinforcement learning, optimization algorithms) with quantum computing platforms. Strong programming skills in Python, with a focus on algorithm development, simulation, and performance optimization. Experience with cloud platforms supporting quantum compute (AWS Braket, Azure Quantum, or IBM Quantum Experience). Exposure to building hybrid systems combining classical and quantum processing for real-world applications. Ideally, You’ll Also Have A solid background in quantum mechanics, linear algebra, and information theory. Familiarity with variational quantum algorithms (VQE, QAOA), quantum annealing, or quantum kernel methods. Experience in developing PoCs or MVPs for clients in sectors such as finance, supply chain, pharmaceuticals, or cybersecurity. Contribution to open-source quantum communities or published research in quantum-AI intersections. Knowledge of quantum error mitigation, fault-tolerant architectures, and quantum benchmarking. What Working At EY Offers At EY, we invest in the future—and that includes you. You’ll work on next-gen technology initiatives that blend deep science with business strategy, helping build the foundation of quantum-powered enterprises. As part of our fast-growing innovation group, you’ll have access to mentorship, collaborative R&D environments, and opportunities to make a lasting impact. EY offers: A vibrant, innovation-driven culture committed to deep tech transformation. Access to leading quantum hardware and simulation environments. Opportunities for professional growth, technical training, and industry exposure. A collaborative ecosystem where your contributions fuel real business change. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Description We are seeking a passionate and experienced Full Stack AI/ML Engineer with a strong background in machine learning and a drive for building intelligent systems. As a Full-Stack AI/ML Engineer on the Ford Pro Charging team, you will design, build, and ship intelligent services that power our global EV-charging platform. If you love turning data into real-world impact and thrive on end-to-end ownership—from research notebooks to production APIs—this is your playground. Responsibilities Design & Develop AI Solutions: Lead the design, development, training, and evaluation of machine learning models and AI solutions across various domains to enhance our products and services. Identify AI Opportunities: Proactively identify and explore opportunities to apply data-driven solutions to improve existing products, optimize internal processes, and create new value propositions. Model Implementation & Optimization: Implement, optimize, and deploy various machine learning algorithms and deep learning architectures to solve complex problems. Data Management & Engineering: Collaborate with data engineers to ensure robust data collection, preprocessing, feature engineering, and pipeline development for effective model training and performance. Backend Integration: Design and implement robust APIs and services to integrate AI/ML models and solutions seamlessly into our existing backend infrastructure, ensuring scalability, reliability, and maintainability. Performance Monitoring & Improvement: Continuously monitor, evaluate, and fine-tune the performance, accuracy, and efficiency of deployed AI/ML models and systems. Research & Innovation: Stay abreast of the latest advancements in AI, ML, and relevant technologies, and propose innovative solutions to push the boundaries of our product capabilities. Testing & Deployment: Participate in the rigorous testing, deployment, and ongoing maintenance of AI/ML solutions in production environments. Qualifications Required Skills & Qualifications: Experience: 2+ years of professional experience in Artificial Intelligence, Machine Learning, or Data Science roles, with a proven track record of delivering production-grade AI/ML solutions (or equivalent demonstrable expertise). Technical Expertise: Proficiency in Python and strong experience with core AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers). Solid grasp of various machine learning algorithms (supervised, unsupervised, reinforcement learning) and deep learning architectures. Demonstrated experience applying machine learning to complex datasets, including structured and unstructured data. Proficient in API design (REST, GraphQL), microservices, and database design (SQL/NoSQL); production experience on at least one major cloud (AWS, Azure, or GCP). Practical knowledge of Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Argo, or similar). Problem-Solving: Excellent analytical and problem-solving skills, with proven ability to break down complex problems into iterative experiments and devise effective, scalable AI/ML solutions Enthusiasm & Learning: A genuine passion for technology, coupled with a self-driven commitment to continuous learning and mastery of new techniques. We value individuals who proactively identify challenges, conceptualize solutions, and lead ideation and innovation, beyond mere task execution Communication: Strong communication skills to articulate complex technical concepts to both technical and non-technical stakeholders. Education: Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related quantitative field. Bonus Points: Domain expertise in EV charging, smart-grid, or energy-management systems. Experience with distributed data technologies (Spark, Flink, Kafka Streams). Contributions to open-source ML projects or peer-reviewed publications. Knowledge of ethical and responsible AI frameworks, including bias detection and model explainability.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Quantum Engineer – Quantum Computing & AI Applications (Senior) EY Consulting Digital Engineering is seeking a talented and driven Quantum Engineer to join our next-generation innovation team. With 4–6 years of experience in quantum computing, machine learning, and AI integration, you will be at the forefront of building and deploying cutting-edge quantum-enabled solutions that solve complex industry challenges. Your technical acumen, curiosity, and problem-solving mindset will help shape scalable applications that leverage the power of emerging quantum technologies. The Opportunity As a Quantum Engineer, you will be part of a specialized team solving real-world problems using quantum algorithms, simulators, and AI-driven approaches. This is a high-impact opportunity to work at the intersection of theoretical research and practical engineering, collaborating with clients, researchers, and cross-functional teams to prototype and operationalize quantum solutions across domains like optimization, cryptography, material science, and machine learning. Your Key Responsibilities Design and implement quantum algorithms using platforms such as Qiskit, Cirq, PennyLane, or Braket, aligned to client and industry use cases. Integrate AI/ML models with quantum circuits or hybrid systems to demonstrate real-world quantum advantage. Evaluate and compare performance across quantum simulators and hardware backends, optimizing code for noise resilience and scalability. Work closely with data science and cloud teams to build hybrid quantum-classical workflows using cloud-native environments (AWS Braket, Azure Quantum, IBM Quantum). Translate complex quantum concepts into functional prototypes with measurable business outcomes. Collaborate with domain experts to define use cases, benchmark solutions, and guide PoCs and MVPs. Contribute to technical documentation, research papers, whitepapers, and client presentations. Stay on the cutting edge of quantum computing advancements, ensuring EY’s solutions remain future-ready and aligned with the technology roadmap. Soft Skills Strong analytical and abstract reasoning skills, able to work through complex, multidimensional problems. Excellent communication skills—capable of translating advanced technical content into actionable insights for non-technical stakeholders. A collaborative mindset with the ability to work in fast-paced, multidisciplinary teams. Curiosity and passion for emerging tech—especially quantum’s role in shaping the future of computation. To Qualify for the Role, You Must Have A Bachelor’s or Master’s degree in Physics, Computer Science, Quantum Information, or a related technical discipline. 4–6 years of hands-on experience in quantum computing tools and libraries like Qiskit, Cirq, PennyLane, t|ket>, or Braket. Proven experience integrating AI/ML techniques (e.g., neural networks, reinforcement learning, optimization algorithms) with quantum computing platforms. Strong programming skills in Python, with a focus on algorithm development, simulation, and performance optimization. Experience with cloud platforms supporting quantum compute (AWS Braket, Azure Quantum, or IBM Quantum Experience). Exposure to building hybrid systems combining classical and quantum processing for real-world applications. Ideally, You’ll Also Have A solid background in quantum mechanics, linear algebra, and information theory. Familiarity with variational quantum algorithms (VQE, QAOA), quantum annealing, or quantum kernel methods. Experience in developing PoCs or MVPs for clients in sectors such as finance, supply chain, pharmaceuticals, or cybersecurity. Contribution to open-source quantum communities or published research in quantum-AI intersections. Knowledge of quantum error mitigation, fault-tolerant architectures, and quantum benchmarking. What Working At EY Offers At EY, we invest in the future—and that includes you. You’ll work on next-gen technology initiatives that blend deep science with business strategy, helping build the foundation of quantum-powered enterprises. As part of our fast-growing innovation group, you’ll have access to mentorship, collaborative R&D environments, and opportunities to make a lasting impact. EY offers: A vibrant, innovation-driven culture committed to deep tech transformation. Access to leading quantum hardware and simulation environments. Opportunities for professional growth, technical training, and industry exposure. A collaborative ecosystem where your contributions fuel real business change. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Overview Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor’s “Best Places to Work” Seeking an astute individual that has a strong technical foundation with the additional ability to be hands-on with the broader engineering team as part of the development/deployment cycle, and deep knowledge of industry best practices, Data Science and Machine Learning experience with the ability to implement them working with both the platform, and the product teams. Scope Our machine learning platform ingests data in real time, processes information from millions of retail items to serve deep learning models and produces billions of predictions on a daily basis. Blue Yonder Data Science and Machine Learning team works closely with sales, product and engineering teams to design and implement the next generation of retail solutions. Data Science team members are tasked with turning both small, sparse and massive data into actionable insights with measurable improvements to the customer bottom line. Our Current Technical Environment Software: Python 3.* Frameworks/Others: TensorFlow, PyTorch, BigQuery/Snowflake, Apache Beam, Kubeflow, Apache Flink/Dataflow, Kubernetes, Kafka, Pub/Sub, TFX, Apache Spark, and Flask. Application Architecture: Scalable, Resilient, Reactive, event driven, secure multi-tenant Microservices architecture. Cloud: Azure What We Are Looking For Bachelor’s Degree in Computer Science or related fields; graduate degree preferred. Solid understanding of data science and deep learning foundations. Proficient in Python programming with a solid understanding of data structures. Experience working with most of the following frameworks and libraries: Pandas, NumPy, Keras, TensorFlow, Jupyter, Matplotlib etc. Expertise in any database query language, SQL preferred. Familiarity with Big Data tech such as Snowflake , Apache Beam/Spark/Flink, and Databricks. etc. Solid experience with any of the major cloud platforms, preferably Azure and/or GCP (Google Cloud Platform). Reasonable knowledge of modern software development tools, and respective best practices, such as Git, Jenkins, Docker, Jira, etc. Familiarity with deep learning, NLP, reinforcement learning, combinatorial optimization etc. Provable experience guiding junior data scientists in official or unofficial setting. Desired knowledge of Kafka, Redis, Cassandra, etc. What You Will Do As a Senior Data Scientist, you serve as a specialist in the team that supports the team with following responsibilities. Independently, or alongside junior scientists, implement machine learning models by Procuring data from platform, client, and public data sources. Implementing data enrichment and cleansing routines Implementing features, preparing modelling data sets, feature selection, etc. Evaluating candidate models, selecting, and reporting on test performance of final one Ensuring proper runtime deployment of models, and Implementing runtime monitoring of model inputs and performance in order to ensure continued model stability. Work with product, sales and engineering teams helping shape up the final solution. Use data to understand patterns, come up with and test hypothesis; iterate. Help prepare sales materials, estimate hardware requirements, etc. Attend client meetings, online and onsite, to discuss new and current functionality Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Benzatine Infotech is a Mobile/Web Development and Information Technology company. We have over 10+ years of programming experience and have developed a wide range of over 200+ iOS and Android mobile and web applications. Our team delivers professional, innovative solutions for our clients -- quickly and cost-effectively. Key Responsibilities: Design and develop scalable machine learning models and algorithms. Collaborate with cross-functional teams to integrate AI/ML models into production systems. Analyze large datasets to extract meaningful patterns and insights. Optimize models for performance, accuracy, and scalability. Research and implement the latest AI/ML techniques and tools. Build prototypes and proof-of-concepts to demonstrate model effectiveness. Monitor and improve deployed models based on real-time feedback and performance. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Strong proficiency in Python and ML libraries like TensorFlow, PyTorch, Scikit-learn, etc. Experience with data preprocessing, feature engineering, and model evaluation techniques. Solid understanding of supervised, unsupervised, and deep learning algorithms. Knowledge of NLP, computer vision, or reinforcement learning is a plus. Familiarity with tools like Jupyter, Git, Docker, and cloud platforms (AWS/GCP/Azure). Experience: 2+ years of experience Benefits: 5 Days working 12 Paid leaves + Holidays Leave Encashment Festival Celebrations On-Time Salary Career growth opportunities Best place to gain knowledge Friendly environment Co-operative senior developer Job Types: Full-time, Permanent Experience: AI: 2 years (Preferred) Machine learning: 2 years (Preferred) Work Location: In person

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 Location: We have multiple industrial project in Karnataka. We need Construction Site Billing Engineers for projects value >₹10 Cr. 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: ₹35,000.00 - ₹50,000.00 per month Education: Diploma (Required) Experience: Civil engineering: 3 years (Required) Work Location: In person Application Deadline: 13/09/2025 Expected Start Date: 01/10/2025

Hi, We have a 6-month (possibilities of further extension) Contract requirement for AI Developer OFFSHORE REMOTE Europe time zone -Central European Time (CET). Working hours will be 5 am/ 5:30am/6 am to 2 pm/2:30 pm / 3 pm IST Position: AI Developer Duration: 6-month (possibilities of further extension) Annual Salary: DOE Work Location: REMOTE Required Experience: 5 yrs Primary Skills Knowledge of Python AWS Lambda AWS Bedrock Detailed JD as follows: 1. Prompt Engineering Techniques – Advanced Design effective prompts for large language models to optimize accuracy, reduce hallucinations, and guide reasoning using few-shot, zero-shot, and chain-of-thought approaches. Work with foundation models via APIs (e.g., OpenAI, AWS Bedrock) to build real-world applications across domains. 2. Generative Modeling Techniques – Intermediate Implement and experiment with generative models like GPT, BERT, or other Transformer-based architectures. Apply pre-trained models in NLP, content generation, or summarization tasks using platforms like Hugging Face or AWS Bedrock. 3. Agentic AI and Reinforcement Learning – Intermediate Understand and integrate basic agentic frameworks that combine reasoning, memory, and planning. Work with simulation environments (e.g., OpenAI Gym) and apply standard reinforcement learning algorithms for prototype development. 4. Building Responsible and Ethical AI – Intermediate Implement fairness-aware model evaluation and explainability practices using tools like SHAP or LIME. Follow best practices for privacy, bias mitigation, and governance in AI systems. 5. Cloud Deployment and MLOps – Intermediate Deploy AI models using AWS Lambda , AWS Bedrock , and SageMaker for serving and scalability. Participate in building MLOps pipelines and model versioning using MLflow or similar tools. 6. Machine Learning Frameworks (PyTorch/TensorFlow) – Beginner Train and fine-tune small-scale models using PyTorch or TensorFlow under guidance or for prototyping. Leverage existing models via transfer learning for quick deployment. 7. Data Preprocessing and Feature Engineering – Beginner Clean and transform raw data for modeling tasks. Perform exploratory data analysis (EDA) and develop basic feature extraction pipelines. 8. Containerization and CI/CD – Beginner Learn and assist in containerizing ML applications using Docker. Support implementation of CI/CD pipelines and Git-based workflow integrations.

Job Title: Structure Supervisor - Guyana Project Location: Guyana ( South America) Department: Civil / Construction – Structures Reporting To: Project Manager Employment Type: Contractual Key Responsibilities: Supervise and execute all structural works (e.g., bridges, culverts, retaining walls, foundations, piers, decks) at site as per approved drawings and technical specifications. Monitor day-to-day construction activities and ensure adherence to quality, safety, and timelines. Coordinate with the engineering and planning teams for drawings, work programs, and construction schedules. Manage subcontractors and workmen for structure-related civil activities on site. Conduct checks for shuttering, reinforcement, concreting, curing, and finishing works. Maintain daily work progress reports and site logs. Identify construction-related issues and resolve them in coordination with the site engineer and project manager. Ensure compliance with safety norms, quality standards, and contractual requirements. Participate in inspections, audits, and quality checks conducted by client/consultant or internal QA/QC team. Qualification & Experience: Minimum Qualification: Diploma in Civil Engineering (DCE) Experience: Minimum 10 years of hands-on experience in execution and supervision of structural works in road/highway/bridge projects. Preference will be given to candidates with international project exposure or major infrastructure project experience (e.g., NHAI, NHIDCL, State Road Projects). Key Skills & Competencies: In-depth knowledge of structural elements and construction methods Ability to interpret structural drawings and specifications Strong team supervision and coordination skills Quality-conscious and safety-oriented Additional Requirements: Willingness to work on international posting (Guyana - South America) Medically fit for overseas assignment Passport-ready and eligible for work visa processing

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Associate Job Description & Summary A career within Internal Audit services, will provide you with an opportunity to gain an understanding of an organisation’s objectives, regulatory and risk management environment, and the diverse needs of their critical stakeholders. We focus on helping organisations look deeper and see further considering areas like culture and behaviours to help improve and embed controls. In short, we seek to address the right risks and ultimately add value to their organisation. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true saelves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within…. Responsibilities: Architecture Design: · Design and implement scalable, secure, and high-performance architectures for Generative AI applications. · Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development and Deployment: · Fine-tune pre-trained generative models for domain-specific use cases. · Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. · Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. · Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. · Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation and Strategy: · Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. · Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. · Good exposure to Agentic Design patterns Collaboration and Leadership: · Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. · Mentor and guide team members on AI/ML best practices and architectural decisions. · Should be able to lead a team of data scientists, GenAI engineers and Software Developers. Performance Optimization: · Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. · Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical and Responsible AI: · Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. · Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Mandatory skill sets: · Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. · Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). · Should have strong knowledge on LLM’s foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Model’s like Llama 3.2, Phi etc. · Proven track record with event-driven architectures and real-time data processing systems. · Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. · Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. · Knowledge of containerization technologies such as Kubernetes and Docker. · Comprehensive understanding of data lakes and strategies for data management. · Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. · Proficiency in cloud computing platforms such as Azure or AWS. · Exceptional leadership, problem-solving, and analytical abilities. · Superior communication and collaboration skills, with experience managing high-performing teams. · Ability to operate effectively in a dynamic, fast-paced environment. Preferred skill sets: · Experience with additional technologies such as Datadog, and Splunk. · Programming languages like C#, R, Scala · Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Years of experience required: 0-1 Years Education qualification: · BE / B.Tech / MCA / M.Sc / M.E / M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor in Business Administration, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Java Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Emotional Regulation, Empathy, Financial Accounting, Financial Audit, Financial Reporting, Financial Statement Analysis, Generally Accepted Accounting Principles (GAAP) {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Quantum Engineer – Quantum Computing & AI Applications (Senior) EY Consulting Digital Engineering is seeking a talented and driven Quantum Engineer to join our next-generation innovation team. With 4–6 years of experience in quantum computing, machine learning, and AI integration, you will be at the forefront of building and deploying cutting-edge quantum-enabled solutions that solve complex industry challenges. Your technical acumen, curiosity, and problem-solving mindset will help shape scalable applications that leverage the power of emerging quantum technologies. The Opportunity As a Quantum Engineer, you will be part of a specialized team solving real-world problems using quantum algorithms, simulators, and AI-driven approaches. This is a high-impact opportunity to work at the intersection of theoretical research and practical engineering, collaborating with clients, researchers, and cross-functional teams to prototype and operationalize quantum solutions across domains like optimization, cryptography, material science, and machine learning. Your Key Responsibilities Design and implement quantum algorithms using platforms such as Qiskit, Cirq, PennyLane, or Braket, aligned to client and industry use cases. Integrate AI/ML models with quantum circuits or hybrid systems to demonstrate real-world quantum advantage. Evaluate and compare performance across quantum simulators and hardware backends, optimizing code for noise resilience and scalability. Work closely with data science and cloud teams to build hybrid quantum-classical workflows using cloud-native environments (AWS Braket, Azure Quantum, IBM Quantum). Translate complex quantum concepts into functional prototypes with measurable business outcomes. Collaborate with domain experts to define use cases, benchmark solutions, and guide PoCs and MVPs. Contribute to technical documentation, research papers, whitepapers, and client presentations. Stay on the cutting edge of quantum computing advancements, ensuring EY’s solutions remain future-ready and aligned with the technology roadmap. Soft Skills Strong analytical and abstract reasoning skills, able to work through complex, multidimensional problems. Excellent communication skills—capable of translating advanced technical content into actionable insights for non-technical stakeholders. A collaborative mindset with the ability to work in fast-paced, multidisciplinary teams. Curiosity and passion for emerging tech—especially quantum’s role in shaping the future of computation. To Qualify for the Role, You Must Have A Bachelor’s or Master’s degree in Physics, Computer Science, Quantum Information, or a related technical discipline. 4–6 years of hands-on experience in quantum computing tools and libraries like Qiskit, Cirq, PennyLane, t|ket>, or Braket. Proven experience integrating AI/ML techniques (e.g., neural networks, reinforcement learning, optimization algorithms) with quantum computing platforms. Strong programming skills in Python, with a focus on algorithm development, simulation, and performance optimization. Experience with cloud platforms supporting quantum compute (AWS Braket, Azure Quantum, or IBM Quantum Experience). Exposure to building hybrid systems combining classical and quantum processing for real-world applications. Ideally, You’ll Also Have A solid background in quantum mechanics, linear algebra, and information theory. Familiarity with variational quantum algorithms (VQE, QAOA), quantum annealing, or quantum kernel methods. Experience in developing PoCs or MVPs for clients in sectors such as finance, supply chain, pharmaceuticals, or cybersecurity. Contribution to open-source quantum communities or published research in quantum-AI intersections. Knowledge of quantum error mitigation, fault-tolerant architectures, and quantum benchmarking. What Working At EY Offers At EY, we invest in the future—and that includes you. You’ll work on next-gen technology initiatives that blend deep science with business strategy, helping build the foundation of quantum-powered enterprises. As part of our fast-growing innovation group, you’ll have access to mentorship, collaborative R&D environments, and opportunities to make a lasting impact. EY offers: A vibrant, innovation-driven culture committed to deep tech transformation. Access to leading quantum hardware and simulation environments. Opportunities for professional growth, technical training, and industry exposure. A collaborative ecosystem where your contributions fuel real business change. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Quantum Engineer – Quantum Computing & AI Applications (Senior) EY Consulting Digital Engineering is seeking a talented and driven Quantum Engineer to join our next-generation innovation team. With 4–6 years of experience in quantum computing, machine learning, and AI integration, you will be at the forefront of building and deploying cutting-edge quantum-enabled solutions that solve complex industry challenges. Your technical acumen, curiosity, and problem-solving mindset will help shape scalable applications that leverage the power of emerging quantum technologies. The Opportunity As a Quantum Engineer, you will be part of a specialized team solving real-world problems using quantum algorithms, simulators, and AI-driven approaches. This is a high-impact opportunity to work at the intersection of theoretical research and practical engineering, collaborating with clients, researchers, and cross-functional teams to prototype and operationalize quantum solutions across domains like optimization, cryptography, material science, and machine learning. Your Key Responsibilities Design and implement quantum algorithms using platforms such as Qiskit, Cirq, PennyLane, or Braket, aligned to client and industry use cases. Integrate AI/ML models with quantum circuits or hybrid systems to demonstrate real-world quantum advantage. Evaluate and compare performance across quantum simulators and hardware backends, optimizing code for noise resilience and scalability. Work closely with data science and cloud teams to build hybrid quantum-classical workflows using cloud-native environments (AWS Braket, Azure Quantum, IBM Quantum). Translate complex quantum concepts into functional prototypes with measurable business outcomes. Collaborate with domain experts to define use cases, benchmark solutions, and guide PoCs and MVPs. Contribute to technical documentation, research papers, whitepapers, and client presentations. Stay on the cutting edge of quantum computing advancements, ensuring EY’s solutions remain future-ready and aligned with the technology roadmap. Soft Skills Strong analytical and abstract reasoning skills, able to work through complex, multidimensional problems. Excellent communication skills—capable of translating advanced technical content into actionable insights for non-technical stakeholders. A collaborative mindset with the ability to work in fast-paced, multidisciplinary teams. Curiosity and passion for emerging tech—especially quantum’s role in shaping the future of computation. To Qualify for the Role, You Must Have A Bachelor’s or Master’s degree in Physics, Computer Science, Quantum Information, or a related technical discipline. 4–6 years of hands-on experience in quantum computing tools and libraries like Qiskit, Cirq, PennyLane, t|ket>, or Braket. Proven experience integrating AI/ML techniques (e.g., neural networks, reinforcement learning, optimization algorithms) with quantum computing platforms. Strong programming skills in Python, with a focus on algorithm development, simulation, and performance optimization. Experience with cloud platforms supporting quantum compute (AWS Braket, Azure Quantum, or IBM Quantum Experience). Exposure to building hybrid systems combining classical and quantum processing for real-world applications. Ideally, You’ll Also Have A solid background in quantum mechanics, linear algebra, and information theory. Familiarity with variational quantum algorithms (VQE, QAOA), quantum annealing, or quantum kernel methods. Experience in developing PoCs or MVPs for clients in sectors such as finance, supply chain, pharmaceuticals, or cybersecurity. Contribution to open-source quantum communities or published research in quantum-AI intersections. Knowledge of quantum error mitigation, fault-tolerant architectures, and quantum benchmarking. What Working At EY Offers At EY, we invest in the future—and that includes you. You’ll work on next-gen technology initiatives that blend deep science with business strategy, helping build the foundation of quantum-powered enterprises. As part of our fast-growing innovation group, you’ll have access to mentorship, collaborative R&D environments, and opportunities to make a lasting impact. EY offers: A vibrant, innovation-driven culture committed to deep tech transformation. Access to leading quantum hardware and simulation environments. Opportunities for professional growth, technical training, and industry exposure. A collaborative ecosystem where your contributions fuel real business change. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Quantum Engineer – Quantum Computing & AI Applications (Senior) EY Consulting Digital Engineering is seeking a talented and driven Quantum Engineer to join our next-generation innovation team. With 4–6 years of experience in quantum computing, machine learning, and AI integration, you will be at the forefront of building and deploying cutting-edge quantum-enabled solutions that solve complex industry challenges. Your technical acumen, curiosity, and problem-solving mindset will help shape scalable applications that leverage the power of emerging quantum technologies. The Opportunity As a Quantum Engineer, you will be part of a specialized team solving real-world problems using quantum algorithms, simulators, and AI-driven approaches. This is a high-impact opportunity to work at the intersection of theoretical research and practical engineering, collaborating with clients, researchers, and cross-functional teams to prototype and operationalize quantum solutions across domains like optimization, cryptography, material science, and machine learning. Your Key Responsibilities Design and implement quantum algorithms using platforms such as Qiskit, Cirq, PennyLane, or Braket, aligned to client and industry use cases. Integrate AI/ML models with quantum circuits or hybrid systems to demonstrate real-world quantum advantage. Evaluate and compare performance across quantum simulators and hardware backends, optimizing code for noise resilience and scalability. Work closely with data science and cloud teams to build hybrid quantum-classical workflows using cloud-native environments (AWS Braket, Azure Quantum, IBM Quantum). Translate complex quantum concepts into functional prototypes with measurable business outcomes. Collaborate with domain experts to define use cases, benchmark solutions, and guide PoCs and MVPs. Contribute to technical documentation, research papers, whitepapers, and client presentations. Stay on the cutting edge of quantum computing advancements, ensuring EY’s solutions remain future-ready and aligned with the technology roadmap. Soft Skills Strong analytical and abstract reasoning skills, able to work through complex, multidimensional problems. Excellent communication skills—capable of translating advanced technical content into actionable insights for non-technical stakeholders. A collaborative mindset with the ability to work in fast-paced, multidisciplinary teams. Curiosity and passion for emerging tech—especially quantum’s role in shaping the future of computation. To Qualify for the Role, You Must Have A Bachelor’s or Master’s degree in Physics, Computer Science, Quantum Information, or a related technical discipline. 4–6 years of hands-on experience in quantum computing tools and libraries like Qiskit, Cirq, PennyLane, t|ket>, or Braket. Proven experience integrating AI/ML techniques (e.g., neural networks, reinforcement learning, optimization algorithms) with quantum computing platforms. Strong programming skills in Python, with a focus on algorithm development, simulation, and performance optimization. Experience with cloud platforms supporting quantum compute (AWS Braket, Azure Quantum, or IBM Quantum Experience). Exposure to building hybrid systems combining classical and quantum processing for real-world applications. Ideally, You’ll Also Have A solid background in quantum mechanics, linear algebra, and information theory. Familiarity with variational quantum algorithms (VQE, QAOA), quantum annealing, or quantum kernel methods. Experience in developing PoCs or MVPs for clients in sectors such as finance, supply chain, pharmaceuticals, or cybersecurity. Contribution to open-source quantum communities or published research in quantum-AI intersections. Knowledge of quantum error mitigation, fault-tolerant architectures, and quantum benchmarking. What Working At EY Offers At EY, we invest in the future—and that includes you. You’ll work on next-gen technology initiatives that blend deep science with business strategy, helping build the foundation of quantum-powered enterprises. As part of our fast-growing innovation group, you’ll have access to mentorship, collaborative R&D environments, and opportunities to make a lasting impact. EY offers: A vibrant, innovation-driven culture committed to deep tech transformation. Access to leading quantum hardware and simulation environments. Opportunities for professional growth, technical training, and industry exposure. A collaborative ecosystem where your contributions fuel real business change. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Role Summary Responsibilities Develop, produce and distribute reports and general correspondence; Maintain open, clear and concise communication with internal project stakeholders; Establish & maintain project set-ups; Maintain electronic filing system, including managing the access right allocation, EDMS logging; Typing, formatting and emailing documents; Setup of the project numbers and budgets at the direction of the Project Managers; CV updating and reformatting; Support in ISO compliance; Perform all other tasks that are related to the position of a Project Administrative Assistant; and Other duties as assigned/required. Qualifications College diploma in Administration or other equivalent training; 5+ years relevant experience as an Project Administration Assistant preferably within an Engineering/Architectural or other relatable professional services office; Excellent organizational and time management skills to respond to changing priorities and handling multiple tasks; Ability to work in a fast-paced environment; Proven ability to meet deadlines and prioritize workload; Ability to take direction from multiple managers when providing administrative reinforcement. Proficient on computer software applications (Word, Excel, PowerPoint); General Accounting knowledge Experience with Deltek Vision is an asset; Typing speed of 70 wpm; Ability to work independently as well as in a team environment; and Excellent English verbal and written communication skills. Knowledge of the Chinese language would be considered an asset.

Role Summary Responsibilities Develop, produce and distribute reports and general correspondence; Maintain open, clear and concise communication with internal project stakeholders; Establish & maintain project set-ups; Maintain electronic filing system, including managing the access right allocation, EDMS logging; Typing, formatting and emailing documents; Setup of the project numbers and budgets at the direction of the Project Managers; CV updating and reformatting; Support in ISO compliance; Perform all other tasks that are related to the position of a Project Administrative Assistant; and Other duties as assigned/required. Qualifications College diploma in Administration or other equivalent training; 5+ years relevant experience as an Project Administration Assistant preferably within an Engineering/Architectural or other relatable professional services office; Excellent organizational and time management skills to respond to changing priorities and handling multiple tasks; Ability to work in a fast-paced environment; Proven ability to meet deadlines and prioritize workload; Ability to take direction from multiple managers when providing administrative reinforcement. Proficient on computer software applications (Word, Excel, PowerPoint); General Accounting knowledge Experience with Deltek Vision is an asset; Typing speed of 70 wpm; Ability to work independently as well as in a team environment; and Excellent English verbal and written communication skills. Knowledge of the Chinese language would be considered an asset.

Role Summary Responsibilities Develop, produce and distribute reports and general correspondence; Maintain open, clear and concise communication with internal project stakeholders; Establish & maintain project set-ups; Maintain electronic filing system, including managing the access right allocation, EDMS logging; Typing, formatting and emailing documents; Setup of the project numbers and budgets at the direction of the Project Managers; CV updating and reformatting; Support in ISO compliance; Perform all other tasks that are related to the position of a Project Administrative Assistant; and Other duties as assigned/required. Qualifications College diploma in Administration or other equivalent training; 5+ years relevant experience as an Project Administration Assistant preferably within an Engineering/Architectural or other relatable professional services office; Excellent organizational and time management skills to respond to changing priorities and handling multiple tasks; Ability to work in a fast-paced environment; Proven ability to meet deadlines and prioritize workload; Ability to take direction from multiple managers when providing administrative reinforcement. Proficient on computer software applications (Word, Excel, PowerPoint); General Accounting knowledge Experience with Deltek Vision is an asset; Typing speed of 70 wpm; Ability to work independently as well as in a team environment; and Excellent English verbal and written communication skills. Knowledge of the Chinese language would be considered an asset.

Key Responsibilities: Design and implement modular, reusable AI agents capable of autonomous decision-making using LLMs, APIs, and tools like LangChain, AutoGen, or Semantic Kernel. Engineer prompt strategies for task-specific agent workflows (e.g., document classification, summarization, labeling, sentiment detection). Integrate ML models (NLP, CV, RL) into agent behavior pipelines to support inference, learning, and feedback loops. Contribute to multi-agent orchestration logic including task delegation, tool selection, message passing, and memory/state management. Collaborate with MLOps, data engineering, and product teams to deploy agents at scale in production environments. Develop and maintain agent evaluations, unit tests, and automated quality checks for reliability and interpretability. Monitor and refine agent performance using logging, observability tools, and feedback signals. Required Qualifications: Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field. 3+ years of experience in developing AI/ML systems; 1+ year in agent-based architectures or LLM-enabled automation. Proficiency in Python and ML libraries (PyTorch, TensorFlow, scikit-learn). Experience with LLM frameworks (LangChain, AutoGen, OpenAI, Anthropic, Hugging Face Transformers). Strong grasp of NLP, prompt engineering, reinforcement learning, and decision systems. Knowledge of cloud environments (AWS, Azure, GCP) and CI/CD for AI systems. Preferred Skills: Familiarity with multi-agent frameworks and agent orchestration design patterns. Experience in building autonomous AI applications for data governance, annotation, or knowledge extraction. Background in human-in-the-loop systems, active learning, or interactive AI workflows. Understanding of vector databases (e.g., FAISS, Pinecone) and semantic search.

Humanli.AI is a Startup founded by Alumnus of IIM' Bangalore/ISB Hyderabad & IIM' Calcutta. We are democratizing and extending technology that were accessible & consumed only by MNC’s or Fortune companies to SME and Mid-size firms. We are pioneers in bringing Knowledge Management algorithms & Large Language Models into Conversational BOT framework. Job Title: AI/ML Engineer Location: Jaipur Job Type: Full-time Experience: 0-3 years Job Description: We are looking for an experienced AI/ML & Data Engineer to join our team and contribute to the development and deployment of our AI-based solutions. As an AI/ML & Data Engineer, you will be responsible for designing and implementing data models, algorithms, and pipelines for training and deploying machine learning models. Responsibilities: Design, develop, and fine-tune Generative AI models (e.g., LLMs, GANs, VAEs, Diffusion Models). Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases (FAISS, Pinecone, ChromaDB, Weaviate). Develop and integrate AI Agents for task automation, reasoning, and decision-making. Work on fine-tuning open-source LLMs (e.g., LLaMA, Mistral, Falcon) for specific applications. Optimize and deploy transformer-based architectures for NLP and vision-based tasks. Train models using TensorFlow, PyTorch, Hugging Face Transformers. Work on prompt engineering, instruction tuning, and reinforcement learning (RLHF). Collaborate with data scientists and engineers to integrate models into production systems. Stay updated with the latest advancements in Generative AI, ML, and DL. Optimize models for performance improvements, including quantization, pruning, and low-latency inference techniques. Qualification: B.Tech in Computer Science. Fresher's may apply 0-3 years of experience in data engineering and machine learning. Immediate joiners: Preferred Requirement Experience with data preprocessing, feature engineering, and model evaluation. Understanding of transformers, attention mechanisms, and large-scale training. Hands-on experience with, RAG, LangChain/LangGraph, LlamaIndex, and other agent frameworks. Understanding of prompt tuning, LoRA/QLora, and efficient parameter fine-tuning (PEFT) techniques. Strong knowledge of data modeling, data preprocessing, and feature engineering techniques. Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform. Excellent problem-solving skills and ability to work independently and collaboratively in a team environment. Strong communication skills and ability to explain technical concepts to non-technical stakeholders.

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Location - Hyderabad Experience - 1-5 Years We are seeking an experienced Machine Learning Engineers specializing in Generative AI to join our core AI team. The ideal candidate will be responsible for designing, developing, and deploying cutting-edge generative AI solutions, with a focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Intelligent agent systems. Key Responsibilities Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation Create robust evaluation frameworks for measuring and improving model performance Build and maintain agentic workflows for autonomous AI systems Collaborate with cross-functional teams to identify opportunities and implement AI solutions Required Qualifications Bachelor's or Master's degree in Computer Science, or related technical field 3+ years of experience in Machine Learning/AI engineering Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow) Practical experience with LLM deployments and fine-tuning Experience with vector databases and embedding models Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure) Strong understanding of RAG architectures and implementation Preferred Qualifications Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers) Knowledge of prompt engineering and chain-of-thought techniques Experience with containerization and microservices architecture Background in NLP and deep learning Background in Reinforcement Learning Contributions to open-source AI projects Experience with ML ops and model deployment pipelines Skills And Competencies Strong problem-solving and analytical skills Excellent communication and collaboration abilities Experience with agile development methodologies Ability to balance multiple projects and priorities Strong focus on code quality and best practices Understanding of AI ethics and responsible AI development Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

By submitting your email address and any other personal information to this website, you consent to such information being collected, held, used and disclosed in accordance with our PRIVACY POLICY and our website TERMS AND CONDITIONS OUR STORY: At ContractPodAi, we're pioneering the future of legal with Leah—the operating system for legal. Leah Agentic AI coordinates specialized AI agents across Leah’s suite of solutions, including industry-leading Contract Lifecycle Management (CLM), to transform how legal teams work and create value. Leah doesn't just automate tasks—it uncovers hidden opportunities and transforms legal knowledge into business advantage. Our platform breaks down silos between legal, business, and executive teams, helping organizations discover revenue opportunities, minimize risks, and turn legal insights into strategic decisions. We know innovation happens when great people come together to solve business problems. ContractPodAi is a fast-growing team of innovators spread across London, New York, Glasgow, San Francisco, Toronto, Dubai, Sydney, Mumbai, Pune, and beyond. Here, you'll: • Pioneer the future of legal AI and business transformation • Make real impact by helping organizations unlock hidden value • Collaborate with talented colleagues across continents. If you're excited by cutting-edge technology, thrive in a fast-paced environment, and want to help build something revolutionary, we want to hear from you. THE OPPORTUNITY We are seeking an experienced AI Engineer to join our growing team at ContractPodAi. In this role, you will design, develop, and deploy intelligent systems that power next-generation features in our contract lifecycle management (CLM) platform. You will work at the intersection of machine learning, software engineering, and agentic AI to create autonomous, goal-driven agents capable of reasoning, learning, and acting in dynamic environments. This is your opportunity to play a pivotal role in advancing the capabilities of legal tech with powerful agent-based systems built on the latest advancements in large language models, reinforcement learning, and autonomous AI frameworks. WHAT YOU WILL DO: Architect and implement scalable agentic AI systems that autonomously execute complex workflows and reason over legal data. Research, prototype, and productionize ML/DL models, especially in natural language processing and understanding (NLP/NLU). Build and deploy intelligent legal agents that can interpret documents, make decisions, and collaborate with users or other agents to complete multi-step tasks. Utilize modern frameworks and platforms (e.g., LangChain, LangGraph AutoGen, OpenAI Function Calling, Semantic Kernel) to build multi-agent workflows. Fine-tune and integrate large language models (LLMs) using PEFT, LoRA, and RAG techniques tailored to legal domain challenges. Design and implement robust infrastructure for managing AI lifecycle, including training, inference, monitoring, and continuous learning. Collaborate with legal experts, product managers, and engineering teams to create explainable and trustworthy AI systems. Contribute to the development of our AI strategy for agent-based automation within legal operations and contract management. WHAT YOU WILL NEED: 4+ Years of experience and a strong background in computer science, software engineering, or data science with a deep focus on machine learning and NLP. Demonstrated experience building or integrating agentic AI systems (e.g., AutoGPT-style agents, goal-oriented LLM pipelines, multi-agent frameworks). Proficiency in Python and ML/NLP libraries such as HuggingFace Transformers, LangChain, PyTorch, TensorFlow, and Spacy. Experience developing and scaling ML models (including LSTMs, BERT, Transformers) for real-world applications. Understanding of LLM training (e.g., OpenAI, LLAMA, Falcon), embeddings, and prompt engineering. Hands-on experience with Reinforcement Learning (e.g., PPO, RLHF, RLAIF). Experience extracting text and semantic information from structured and unstructured documents (PDFs, Images, etc.). Comfort working in Agile/Scrum environments and collaborating across cross-functional teams. Passion for innovation in AI and a strong desire to build autonomous systems that solve complex, real-world problems. BENEFITS: Competitive salary Opportunity to work in a fast-moving, high growth SaaS company Paid Time off Generous Employee Referral program At ContractPodAi we believe in creating a diverse and inclusive workplace where everyone feels heard and valued. We are proud to be an Equal Opportunity Employer. We do not discriminate in employment on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

About Client : 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 Title: Pascal or Delphi development. Location: Pan India Experience:5+ years Employment Type: Contract to hire Work Mode: Remote Notice Period: Immediate joiners Requirements: 4+ years of professional experience in Pascal or Delphi development. Strong understanding of procedural programming paradigms, type systems, and BEGIN…END structured blocks. Proven debugging, profiling, and performance tuning skills in Pascal applications. Solid grasp of Git, version control workflows, CI/CD processes, and testing best practices. Excellent written and verbal communication skills in English

At Airtel , we’re not just scaling connectivity—we’re redefining how India experiences digital services. With 400M+ customers across telecom, financial services, and entertainment, our impact is massive. But behind every experience is an opportunity to make it smarter . We're looking for a Product Manager – AI to drive next-gen intelligence for our customers and business. AI is a transformational technology and we are looking or skilled product managers who will work on leveraging AI to power everything from our digital platforms to customer experience. You’ll work at the intersection of machine learning, product design, and systems thinking to deliver AI-driven products that create tangible business impact—fast. What You’ll Do Lead and contribute to AI-Powered Product Strategy Define product vision and strategy for AI-led initiatives that enhance productivity, automate decisions, and personalise user interactions across Airtel platforms. Translate Business Problems into AI Opportunities Partner with operations, engineering, and data science to surface high-leverage AI use cases across workforce management, customer experience, and process automation. Build & Scale ML-Driven Products Define data product requirements, work closely with ML engineers to develop models, and integrate intelligent workflows that continuously learn and adapt. Own Product Execution End-to-End Drive roadmaps, lead cross-functional teams, launch MVPs, iterate based on real-world feedback, and scale solutions with measurable ROI. What You Need to be Successful Influential Communication - Craft clarity from complexity. You can tailor messages for execs, engineers, and field teams alike—translating AI into business value. Strategic Prioritisation - Balance business urgency with technical feasibility. You can decide what not to build, and defend those decisions with data and a narrative Systems Thinking - You can sees the big picture —how decisions in one area ripple across the business, tech stack, and user experience. High Ownership & Accountability - Operate with a founder mindset. You don't wait for direction — you can rally teams, removes blockers, deal with tough stakeholders and drives outcomes. Adaptability - You thrive in ambiguity and pivot quickly without losing sight of long-term vision—key in fast-moving digital organizations. Skills You'll Need AI / ML Fundamentals Understanding of ML model types: Supervised, unsupervised, reinforcement learning Common algorithms: Linear/logistic regression, decision trees, clustering, neural networks Model lifecycle: Training, validation, testing, tuning, deployment, monitoring Understanding of LLMs, transformers, diffusion models, vector search, etc. Familiarity with GenAI product architecture: Retrieval-Augmented Generation (RAG), prompt tuning, fine-tuning Awareness of real-time personalization, recommendation systems, ranking algorithms, etc Data Fluency Understanding Data pipelines Working knowledge of SQL and Python for analysis Understanding of data annotation, labeling, and versioning Ability to define data requirements and assess data readiness AI Product Development Defining ML problem scope: Classification vs. regression vs. ranking vs. generation Model evaluation metrics: Precision, recall, etc. A/B testing & online experimentation for ML-driven experiences ML Infrastructure Awareness Know what it takes to make things work and happen. Model deployment techniques: Batch vs real-time inference, APIs, model serving Monitoring & drift detection: How to ensure models continue performing over time Familiarity with ML platforms/tools: TensorFlow, PyTorch, Hugging Face, Vertex AI, SageMaker, etc. (at a product level) Understanding latency, cost, and resource implications of ML choices AI Ethics & Safety We care deeply about our customers, their privacy and compliance to regulation. Understand Bias and fairness in models: How to detect and mitigate them Explainability & transparency: Importance for user trust and regulation Privacy & security: Understanding implications of sensitive or PII data in AI Alignment and guardrails in generative AI systems Preferred Qualifications Experienced Machine Learning/Artificial Intelligence PMs Experience building 0-1 products, scaled platforms/ecosystem products, or ecommerce Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics Masters degree in Business Why Airtel Digital? Massive Scale : Your products will impact 400M+ users across sectors Real-World Relevance : Solve meaningful problems for our customers — protecting our customers, spam & fraud prevention, personalised experiences, connecting homes. Agility Meets Ambition : Work like a startup with the resources of a telecom giant AI That Ships : We don’t just run experiments. We deploy models and measure real-world outcomes Leadership Access : Collaborate closely with CXOs and gain mentorship from India’s top product and tech leaders

Industry : - REAL ESTATE DEVELOPERS Experience :- 3yrs+ Age :- Under 35 Location :- Vasai East Education :- B.E Civil PROFILES ARE HIGHLY CONSIDERED FROM SAME INDUSTRY I.E ( REAL ESTATE ) WORKING PROFILE 9:30-6:30 MONDAY - SATURDAY ( SUNDAY FIXED OFF ) (PICKUP -DROP FACILITY AVAILABLE FROM VASAI STATION) If you think that you fit the role, please share your updated copy of resume with your contact details mentioned and we will divulge more information regarding the position. Please share your resume on +918830705511 Also, you can refer any of your friends or colleagues who would be interested in a similar opportunity. JOB DESCRIPTION :- Preparation of bar bending schedule for project buildings Estimate reinforcement steel requirements for material procurement & costing Preparation of BOQ items as per estimation team's requirements We are seeking a detail-oriented BBS QS-ENGINEER to manage the given work , and ensure compliance with company standards in our Company at Vasai - Mumbai. Job Types: Full-time, Permanent Pay: Up to ₹40,000.00 per year Benefits: Leave encashment Provident Fund Education: Bachelor's (Required) Experience: BBS QS-Engineer: 3 years (Required) Location: Vasai, Maharashtra (Required) Shift availability: Day Shift (Required) Work Location: In person

Job Description We are seeking a highly skilled and forward-thinking Senior Data Scientist with deep expertise in Generative AI, Agentic AI, and Deep Learning, ideally with experience in the Healthcare, Life Sciences, and Fintech domains. The ideal candidate will bring a strong blend of research acumen and enterprise solution delivery, capable of leading the design and deployment of AI-powered platforms for complex, high-impact business challenges. This is a strategic and hands-on role where you will work on next-gen AI products including intelligent assistants, enterprise automation tools, and AI-integrated decision systems designed to improve operational efficiency and user engagement in regulated industries. Key Responsibilities Lead the end-to-end development of LLM-powered solutions, including fine-tuning, prompt engineering, and dynamic context handling. Design and implement Agentic AI workflows to automate and streamline business operations across healthcare, life sciences, and fintech use cases. Translate business problems into scalable AI/ML pipelines, ensuring alignment with domain-specific compliance and data sensitivity requirements. Build and optimize Reinforcement Learning-based digital twin models and autonomous decision systems. Develop intelligent enterprise search and customer service automation tools using GenAI, NLP, and multi-intent query understanding. Design robust, production-grade ML services using Python, Flask, TensorFlow, PyTorch, and containerized deployment via Docker. Collaborate cross-functionally to build data-centric products and drive research-to-deployment lifecycle. Provide technical leadership in system architecture, MLOps integration, and solution optimization for real-time performance. Contribute to internal documentation, training, and patentable innovation initiatives. Required Skills & Qualifications 6+ years of professional experience in AI/ML development and deployment, with demonstrated success in real-world production environments. Strong programming skills in Python and deep learning frameworks like TensorFlow, PyTorch, Keras. Hands-on experience with Generative AI, LLM fine-tuning, and agent-based AI systems. Expertise in NLP, voice AI, and Reinforcement Learning. Proven ability to develop and deploy solutions for Healthcare and Life Sciences, with an understanding of the domains challenges and regulations. Experience in the fintech domain will be a strong plus. Experience in designing APIs and building scalable microservices for AI inference and data processing. Familiarity with DevOps practices, version control, CI/CD pipelines, and container technologies (e.g., Docker, Git). Working knowledge of workflow automation frameworks. Masters degree in Signal Processing, Machine Learning, Computer Science, or related field (PhD or research background is a strong advantage). Nice To Have Experience building AI applications that support clinical workflows, financial analytics, or biomedical data platforms. Background in digital therapeutics, financial risk models, or AI-driven operations tools. Contribution to AI research publications, open-source projects, or patents. Immediate joiners are preferred (ref:hirist.tech)