2079 Reinforcement Jobs - Page 26

Role : AI Developer - Agentic AI Exp: 2-3 Years Work Mode: 12- 10 pm, Onsite( Mohali, Punjab) Job Role & Responsibilities Design, develop, and deploy Agentic AI systems capable of autonomous task execution by integrating reasoning, memory, and tool use to enable intelligent behavior across complex, multi-step workflows. Architect intelligent agents that can dynamically interact with APIs, data sources, and third-party tools to accomplish diverse objectives with minimal human intervention. Optimize performance of agentic frameworks by enhancing model accuracy, minimizing response latency, and ensuring scalability and reliability in real-world applications. Develop reusable, testable, and production-grade code , adhering to best practices in software engineering and modern AI development workflows. Collaborate with cross-functional teams , including product managers, designers, and backend engineers, to convert business requirements into modular agent behaviors. Integrate Retrieval-Augmented Generation (RAG) , advanced NLP techniques, and knowledge graph structures to improve decision-making and contextual awareness of agents. Conduct rigorous profiling, debugging, and performance testing of agent workflows to identify bottlenecks and improve runtime efficiency. Write and maintain comprehensive unit, integration, and regression tests to validate agent functionality and ensure robust system performance. Continuously enhance codebases , refactor existing modules, and adopt new design patterns to accommodate evolving agentic capabilities and improve maintainability. Implement secure, fault-tolerant, and privacy-compliant designs to ensure that deployed agentic systems meet enterprise-grade reliability and data protection standards. Qualification Required: Bachelor's degree in computer science , or related field. Specialization or Certification in AI or ML is a plus. Technical Expertise: 2+ years of hands-on experience in AI/ML/DL projects, with a strong emphasis on Natural Language Processing (NLP) , Named Entity Recognition (NER) , and Text Analytics . Proven ability to design and deploy Agentic AI systems -autonomous, goal-oriented agents that exhibit reasoning, memory retention, tool use, and execution of multi-step tasks. Practical expertise in agent architecture , task decomposition, and seamless integration with external APIs, databases, and tools to enhance agent capabilities. Skilled in agent prompting strategies , including dynamic prompt chaining and context management, to guide language models through intelligent decision-making workflows. Experience with Retrieval-Augmented Generation (RAG) pipelines and generative AI , with a strong focus on optimizing NLP models for low-latency, high-accuracy production use. Solid foundation in deep learning methods , recommendation engines, and AI applications within HR or similar domains. Exposure to Reinforcement Learning (RL) frameworks and holds relevant certifications or specializations in Artificial Intelligence , showcasing continuous learning and depth in the field. Minimum skills we look for: Skills & Expertise (with Agentic AI focus) Proven experience in building Agentic AI systems , including autonomous agents capable of multi-step reasoning, memory management, and tool use. Expertise in agent design patterns , task decomposition , dynamic planning, and decision-making logic using LLMs. Skilled in integrating multi-agent coordination , goal-setting, and feedback loops to create adaptive, evolving agent behavior. Strong command over prompt engineering , contextual memory structuring , and tool calling mechanisms within LLM-powered agent workflows. Proficiency in managing agent memory (short-term, long-term, episodic) using vector databases and custom memory stores. Ability to build autonomous task execution pipelines with minimal human input, combining language models, APIs, and third-party tools. Experience with frameworks and orchestration for agent behavior tracing, logging, and failure recovery . Tools & Technologies – Agentic AI Agentic Frameworks : LangChain, CrewAI, AutoGen, AutoGPT, BabyAGI – for building, managing, and orchestrating intelligent agents. LLM APIs : OpenAI (GPT-4/3.5), Anthropic (Claude), Cohere, Hugging Face Transformers. Memory & Vector Databases : FAISS, Weaviate, Pinecone, Chroma – for embedding-based agent memory and contextual retrieval. Prompt Management Tools : PromptLayer, LangSmith – for testing, evaluating, and refining agent prompts and traces. RAG & Context Enrichment : LangChain RAG pipelines, Haystack, Milvus. Autonomy Infrastructure : Docker, FastAPI, Redis, Celery – for building scalable agent runtimes. Observability : OpenTelemetry, Langfuse (or similar) for tracing agent decisions, failures, and success metrics. Testing Agentic Behavior : Integration with PyTest + mock APIs/tools to validate autonomous decision logic and fallback strategies.

- Bachelor's degree or equivalent - Experience in Excel (macros, index, conditional list, arrays, pivots, lookups) - Bachelor's degree in business or analytical discipline - Knowledge of SQL - Knowledge of Python, VBA, Macros, Selenium scripts Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. The candidate will leverage data analysis tools like SQL, Excel, and other data management systems to extract and examine data, driving informed decision-making. By monitoring existing metrics and developing new ones in collaboration with internal teams, identify opportunities to enhance processes and systems. Design and implement reporting solutions that empower stakeholders to effectively manage the business. Additionally, support cross-functional teams in the day-to-day execution of program implementation and lead small to medium operational enhancement projects, driving continuous improvement and optimizing outcomes. Key job responsibilities - Retrieve and analyze data using SQL, Excel, and other data management systems. - Monitor existing metrics and create/implement new metrics where needed, partnering with internal teams to identify process and system improvement opportunities. - Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions. - Support cross-functional teams on the day-to-day execution of the existing program implementation. - Drive small to medium operational enhancement projects. 3+ years of complex Excel VBA macros writing experience Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc. Are enrolled in or have completed a Bachelor's degree in business or analytical discipline Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. The candidate will leverage data analysis tools like SQL, Excel, and other data management systems to extract and examine data, driving informed decision-making. By monitoring existing metrics and developing new ones in collaboration with internal teams, identify opportunities to enhance processes and systems. Design and implement reporting solutions that empower stakeholders to effectively manage the business. Additionally, support cross-functional teams in the day-to-day execution of program implementation and lead small to medium operational enhancement projects, driving continuous improvement and optimizing outcomes. Key job responsibilities Retrieve and analyze data using SQL, Excel, and other data management systems. Monitor existing metrics and create/implement new metrics where needed, partnering with internal teams to identify process and system improvement opportunities. Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions. Support cross-functional teams on the day-to-day execution of the existing program implementation. Drive small to medium operational enhancement projects. BASIC QUALIFICATIONS Bachelor's degree or equivalent Experience in Excel (macros, index, conditional list, arrays, pivots, lookups) Bachelor's degree in business or analytical discipline Knowledge of SQL Knowledge of Python, VBA, Macros, Selenium scripts PREFERRED QUALIFICATIONS 3+ years of complex Excel VBA macros writing experience Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc. Are enrolled in or have completed a Bachelor's degree in business or analytical discipline Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, TN, Chennai Business Intelligence

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: Bachelor's (Required) Experience: Civil engineering: 4 years (Required) Work Location: In person Application Deadline: 15/09/2025 Expected Start Date: 01/10/2025

We are seeking a highly skilled and experienced Senior AI Engineer with a minimum of 5 years of hands-on experience in designing, developing, and deploying robust Artificial Intelligence and Machine Learning solutions. The ideal candidate will be a strong problem-solver, adept at translating complex business challenges into scalable AI models, and capable of working across the entire AI/ML lifecycle, from data acquisition to model deployment and monitoring. This role requires a deep understanding of various AI techniques, strong programming skills, and a passion for staying updated with the latest advancements in the field. Key Responsibilities AI/ML Solution Design & Development: ○ Lead the design and development of innovative and scalable AI/ML models and algorithms to address specific business needs and optimize processes. ○ Apply various machine learning techniques including supervised, unsupervised, and reinforcement learning, deep learning, natural language processing (NLP), and computer vision. ○ Collaborate with data scientists, product managers, and other stakeholders to understand business requirements and translate them into technical specifications. Data Management & Preprocessing: ○ Oversee the collection, preprocessing, cleaning, and transformation of large and complex datasets to prepare them for AI model training. ○ Implement efficient data pipelines and ensure data quality and integrity. ○ Perform exploratory data analysis to uncover insights and inform model development. Model Training, Evaluation & Optimization: ○ Train, fine-tune, and evaluate AI/ML models for optimal accuracy, performance, and generalization. ○ Select the most suitable models and algorithms for specific tasks and optimize hyperparameters. ○ Conduct rigorous testing and debugging of AI systems to ensure reliability and desired outcomes. Deployment & MLOps: ○ Lead the productionization of AI/ML models, ensuring seamless integration with existing systems and applications. ○ Implement MLOps best practices for model versioning, deployment, monitoring, and retraining. ○ Develop and maintain APIs for AI model integration. Research & Innovation: ○ Continuously research and evaluate the latest advancements in AI/ML research, tools, and technologies. ○ Propose and implement innovative solutions to complex problems. ○ Contribute to the strategic direction of AI initiatives within the company. Collaboration & Mentorship: ○ Work collaboratively with cross-functional teams (e.g., software development, data science, product teams). ○ Clearly articulate complex AI concepts to both technical and non-technical audiences. ○ Mentor junior AI engineers and contribute to a culture of continuous learning. Required Skills And Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. Minimum of 5 years of professional experience as an AI Engineer, Machine Learning Engineer, or a similar role. Expert-level proficiency in at least one major programming language used for AI development, such as Python (preferred), Java, or C++. Extensive experience with popular AI/ML frameworks and libraries, such as TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face Transformers. Strong understanding of core machine learning concepts, algorithms, and statistical modeling (e.g., regression, classification, clustering, dimensionality reduction). Solid knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers) and their applications. Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy). Familiarity with database systems (SQL, NoSQL) and big data technologies (e.g., Apache Spark, Hadoop) for managing large datasets. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services for scalable deployment. Understanding of software development best practices, including version control (Git), testing, and code review. Excellent problem-solving skills, analytical thinking, and a data-driven approach. Strong communication and interpersonal skills, with the ability to explain technical concepts clearly. Ability to work independently and as part of a collaborative team in a fast-paced environment. Immediate Joinee preferred Skills: ml,nosql,git,google cloud,hugging face transformers,design,c++,pandas,keras,python,machine learning,tensorflow,aws,numpy,azure,pytorch,java,apache spark,sql,data manipulation,hadoop,scikit-learn,artificial intelligence

We are seeking a highly skilled and experienced Senior AI Engineer with a minimum of 5 years of hands-on experience in designing, developing, and deploying robust Artificial Intelligence and Machine Learning solutions. The ideal candidate will be a strong problem-solver, adept at translating complex business challenges into scalable AI models, and capable of working across the entire AI/ML lifecycle, from data acquisition to model deployment and monitoring. This role requires a deep understanding of various AI techniques, strong programming skills, and a passion for staying updated with the latest advancements in the field. Key Responsibilities AI/ML Solution Design & Development: ○ Lead the design and development of innovative and scalable AI/ML models and algorithms to address specific business needs and optimize processes. ○ Apply various machine learning techniques including supervised, unsupervised, and reinforcement learning, deep learning, natural language processing (NLP), and computer vision. ○ Collaborate with data scientists, product managers, and other stakeholders to understand business requirements and translate them into technical specifications. Data Management & Preprocessing: ○ Oversee the collection, preprocessing, cleaning, and transformation of large and complex datasets to prepare them for AI model training. ○ Implement efficient data pipelines and ensure data quality and integrity. ○ Perform exploratory data analysis to uncover insights and inform model development. Model Training, Evaluation & Optimization: ○ Train, fine-tune, and evaluate AI/ML models for optimal accuracy, performance, and generalization. ○ Select the most suitable models and algorithms for specific tasks and optimize hyperparameters. ○ Conduct rigorous testing and debugging of AI systems to ensure reliability and desired outcomes. Deployment & MLOps: ○ Lead the productionization of AI/ML models, ensuring seamless integration with existing systems and applications. ○ Implement MLOps best practices for model versioning, deployment, monitoring, and retraining. ○ Develop and maintain APIs for AI model integration. Research & Innovation: ○ Continuously research and evaluate the latest advancements in AI/ML research, tools, and technologies. ○ Propose and implement innovative solutions to complex problems. ○ Contribute to the strategic direction of AI initiatives within the company. Collaboration & Mentorship: ○ Work collaboratively with cross-functional teams (e.g., software development, data science, product teams). ○ Clearly articulate complex AI concepts to both technical and non-technical audiences. ○ Mentor junior AI engineers and contribute to a culture of continuous learning. Required Skills And Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. Minimum of 5 years of professional experience as an AI Engineer, Machine Learning Engineer, or a similar role. Expert-level proficiency in at least one major programming language used for AI development, such as Python (preferred), Java, or C++. Extensive experience with popular AI/ML frameworks and libraries, such as TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face Transformers. Strong understanding of core machine learning concepts, algorithms, and statistical modeling (e.g., regression, classification, clustering, dimensionality reduction). Solid knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers) and their applications. Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy). Familiarity with database systems (SQL, NoSQL) and big data technologies (e.g., Apache Spark, Hadoop) for managing large datasets. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services for scalable deployment. Understanding of software development best practices, including version control (Git), testing, and code review. Excellent problem-solving skills, analytical thinking, and a data-driven approach. Strong communication and interpersonal skills, with the ability to explain technical concepts clearly. Ability to work independently and as part of a collaborative team in a fast-paced environment. Immediate Joinee preferred Skills: ml,nosql,git,google cloud,hugging face transformers,design,c++,pandas,keras,python,machine learning,tensorflow,aws,numpy,azure,pytorch,java,apache spark,sql,data manipulation,hadoop,scikit-learn,artificial intelligence

Job Title: Project Manager – Green Field Company Name : Indore Composite Private Limited Location : Gujarat, Halol About Indore Group Indore Group is a leading Indian multinational specializing in advanced materials for cable reinforcement and protection. With over 25 years of industry leadership , we serve the world’s top cable manufacturers, delivering high-performance products including FRP rods, ARP, coated glass fibers, tapes, yarns, and gels . Operating four world-class manufacturing facilities —three in India (Pithampur, Ambernath, Umbergaon) and one in Tangier, Morocco —we support customers in over 60 countries across North America, Europe, Russia, Africa, and Asia . Over 60% of our production is exported, reflecting our strong global presence. At the forefront of composite innovation , we continue to expand our portfolio with next-generation materials such as carbon composite cores for HTLS conductors and pultruded components for wind energy . We are also India's first manufacturer of LFT compounds for the automotive and engineering sectors under the brand RePlet , developed in collaboration with Plasticomp, USA. Driven by continuous R&D investment , cutting-edge technology, and a dedicated workforce of over 700 professionals , Indore Group remains committed to sustainability, quality, and innovation . Our mission is to deliver reliable, future-ready solutions for the telecommunication, energy, and transportation industries worldwide. Job Summary: We are looking for a highly experienced Project Manager to lead and execute complex greenfield projects in the mechanical and/or electrical domains. This role requires a strong technical background, leadership skills, and proven experience in delivering projects within budget and schedule. The ideal candidate will manage all phases of project lifecycles, from planning through construction and commissioning. Experience in electrical and/or mechanical systems is a must, while civil engineering experience is not preferred. Key Responsibilities: Project Planning & Execution : Develop detailed project plans, including scope, schedule, budget, and resource allocation. Ensure project execution adheres to plans, specifications, and timelines. Monitor project progress, identify risks, and implement corrective actions. Lead and manage project teams, including engineers, technicians, and contractors. Technical Expertise : Provide technical oversight for electrical and/or mechanical systems design, installation, and commissioning. Ensure compliance with industry standards, codes, and regulations. Review and approve technical drawings, specifications, and calculations. Lead system design reviews for electrical or mechanical systems. Stakeholder Management : Act as the primary point of contact for clients, contractors, and stakeholders. Build and maintain strong relationships to ensure effective communication and collaboration. Manage stakeholder expectations, addressing concerns promptly and professionally. Project Control & Reporting : Develop and maintain project budgets and schedules. Track project costs and identify cost-saving opportunities. Prepare and present regular project reports to management and clients. Lead project risk assessments and develop mitigation plans. Safety & Quality : Ensure compliance with safety protocols and regulations. Implement and oversee quality control and assurance programs. Conduct regular site inspections and audits to ensure safety and quality standards are met. Greenfield and Brownfield Expertise : Demonstrated experience managing both greenfield and brownfield projects. Ability to adapt project strategies to meet the unique challenges of each environment. Strong understanding of integration challenges when working within brownfield sites. Qualifications & Experience: Education : Bachelor’s or Master’s degree in Electrical Engineering or Mechanical Engineering . Experience : Minimum 10 to 15 years of experience in project management, particularly with greenfield projects . Proven track record of managing complex electrical and/or mechanical projects. Experience managing project budgets upwards of 100 Cr . Proficiency in project management tools like MS Project or Primavera . Strong problem-solving and decision-making abilities. Preferred Qualifications: Certifications : PMP (Project Management Professional) or other relevant certifications. Industry Experience : Experience in the continuous production manufacturing , cable , or FRP industries (preferred but not mandatory). Compensation: Competitive salary based on experience and industry standards. Share cv to - mahesh.naik@indore.co.in Company Website: www.indore.co.in

Responsibilities RESPONSIBILITIES This role is for a Sr. Engineer- structures on mining projects. Prepare foundation, steel structure & concrete structure designs calculation in compliance with industry standards. Perform analysis and design using software like Space Gass, STAAD Pro, SACS, Tekla, E3D, or S3D. Solid understanding of Australian Standards (AS) and international codes. Coordinate with other engineering disciplines (piping, mechanical, electrical, instrumentation) for seamless project execution. Prepare civil and structural drawings, specifications, and design calculations. Calculate loads and select structural members based on forces and service demands. Design structural solutions for industrial, commercial, and institutional projects of various sizes with the main focus on industrial projects. Design of shallow and deep foundations, concrete piles, underground concrete vaults and tunnels, and slab reinforcement for a variety of loading conditions. Design of steel structures including building, additions, access platforms including ladder and stair details, trusses, two-legged bents and four-legged support towers. Develop a variety of structural connections including unique connections caused by field interferences. Verify field conditions, constructability of designs, and assist in resolving problems during field construction. Interpreting and designing from a variety of different domestic and foreign structural building design codes. Develop familiarity with WSP standard drawings, specifications, general practices, procedures, Client specific standards. Prepare reports, designs, and drawings. Redline drawings for CAD Designers and review updated submittals for accuracy. Establishing and maintaining effective working relationships with clients, contractors, suppliers and team members. Must complete a high-quality self-check of own work with efficiency. Shall follow internal QC processes. Reporting progress of work assignment to immediate supervisor. Understands the project schedule and budget requirements. Communicate with internal peers and project team and required to answer questions regarding deliverables. Capable of multi-tasking and managing multiple projects with the ability to accurately predict the time required to fulfil the individual scopes of work required. Coordinating with Australian lead offices as per project requirement. Actively participate in the design and provide input to the design team throughout the design process. Provide regular work status updates, including risks or concerns, to Lead Engineer or project manager in AU. Ensure that Health & Safety is embedded into all work practices in line with company policies. Support the company’s approach to sustainability. Be able to communicate in a multi-disciplinary project team. Be willing to learn and be polyvalent. Identify improvements (where possible) to enhance WSP service to clients. Complete accurate timesheets by set deadline. Client / External focus Maintain strong colleague relationships and contribute to the teams’ performance of client satisfaction. Contribute to knowledge sharing in internal and external forums. Remain up to date with market and competitor knowledge. Key Competencies Mandatory Skills We anticipate you will have an interest in the following areas: You will also be computer literate with a reasonable proficiency in MS office suite and Navisworks. Having a thirst for knowledge, cultural awareness, an open mind, and good English (both written and verbal) communication skills are essential, along with the ability to work as part of a team. Coordinating his/her work with other members of the Team. Work competently with minimal supervision or on an individual basis. The candidate must have a valid passport. Key competencies expected are: Collaboration & Teamwork Technical Capability & Delivery Adaptability & Learning Desired Skills Strong preference will be given to candidates with Australian experience Preference will be given to candidates with minimum 14-18 year of experience in a consulting firm in an EPCM environment in the O & G, Power, Mining processing industry is an asset. Preference will be given to candidates with engineering design as well as shop detailing or site experience in steel, concrete structure. Ability to work in a fast-paced environment with strict deadlines. Effective leadership capability, coaching and mentoring skills Ability to work well as part of a team or on an individual basis. Qualifications QUALIFICATIONS 14-18 years of experience in structures engineering. Minimum of a bachelor’s degree in civil & preferred master’s degree in civil/structure engineering. Strong organizational, technical, and communication skills. Strong attention to the detail. Familiar with working in a LEAN environment. Experience with projects in Australia, New Zealand would be an advantage. Excellent written and verbal communication skills, in English. C. Eng, P. Eng qualification would be an added advantage. About Us WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation & Infrastructure, Property & Buildings, Earth & Environment, Power & Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come. With approximately 4,000 talented people across 3 locations (Noida, Bengaluru & Mumbai offices) in India and more than 73,000 globally , in 550 offices across 40 countries , we engineer projects that will help societies grow for lifetimes to come. At “WSP” we draw on the diverse skills and capabilities of our employees globally to compete for the most exciting and complex projects across the world and bring the same level of expertise to our local communities. We are proud to be an international collective of innovative thinkers who work on the most complex problems. Unified under one strong brand, we use our local expertise, international reach and global scale to prepare our cities and environments for the future, connect communities and help societies thrive in built and natural ecosystems. True to our guiding principles, our business is built on four cornerstones: Our People, Our Clients, Our Operational Excellence and Our Expertise. www.wsp.com We are Passionate people doing purposeful and sustainable work that helps shape our communities and the future. A collaborative team that thrives on challenges and unconventional thinking. A network of experts channeling our curiosity into creating solutions for complex issues. Inspired by diversity, driven by inclusion, we work with passion and purpose. Working with Us At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you. Our Hybrid Working Module With us, you can operate in a flexible, agile, yet structured work environment and follow a Hybrid Work Model. Maximize collaboration. Maintain product quality and cultural integrity. Balance community, collaboration, opportunity, productivity, and efficiency. Health, Safety and Wellbeing Our people are our greatest asset, and we prioritize a safe work environment. Health, safety, and wellbeing are integral to our culture, with each of us accountable for fostering a safe workplace through our “Making Health and Safety Personal” initiative. Our Zero Harm Vision drives us to reduce risks through innovative solutions, earning recognition for our global health and safety practices with the prestigious RoSPA Health and Safety Awards for six consecutive years. Inclusivity and Diversity WSP India is dedicated to fostering a sustainable and inclusive work environment where our greatest strength - Our People -feel valued, respected, and supported. We ensure an unbiased approach in hiring, promotion, and performance evaluation, regardless of age, gender identity, race, religion, sexual orientation, marital status, physical ability, education, social status, or cultural background. Imagine a better future for you and a better future for us all. Join our close-knit community of over 73,300 talented global professionals dedicated to making a positive impact. Together, we can make a difference in communities both near and far. With us, you can. Apply today. NOTICE TO THIRD PARTY AGENCIES: WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation – no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service.

AI/ML Developer Location: Remote / Hybrid / Onsite (Pune) Experience: 1–3+ years (flexible for strong candidates) Note: Only candidates with a notice period of 30 days or less will be considered. Final face-to-face interview in Pune is mandatory. Preference for candidates currently in Pune or willing to relocate . Immediate joiners preferred About the Role We are looking for a talented and innovative AI/ML Developer to join our growing technology team. In this role, you will design, develop, and deploy machine learning models that solve real-world problems and create measurable business impact. Working alongside software engineers, data scientists, and product managers, you'll contribute to building intelligent systems that power the next generation of AI solutions. Key Responsibilities Design and implement machine learning algorithms and AI models for business applications. Handle large, complex datasets: data cleaning, preprocessing, feature engineering, and EDA. Train, validate, and optimize models using TensorFlow , PyTorch , or Scikit-learn . Deploy models using Docker , Kubernetes , MLflow , or cloud platforms ( AWS , GCP , Azure ). Monitor and retrain deployed models to ensure performance and reliability. Collaborate with engineering and product teams to integrate ML models into production. Stay updated with emerging trends, tools, and best practices in AI/ML. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science , Engineering , Mathematics , or a related field. Strong proficiency in Python , with hands-on experience using: Scikit-learn , TensorFlow , PyTorch , Hugging Face Transformers Experience with Natural Language Processing (NLP) , including: NER, Text Classification, QA, RAG, and chatbot development Exposure to deep learning for image processing (e.g., YOLO, CNNs, Stable Diffusion) Solid understanding of ML fundamentals: regression, classification, clustering, unsupervised learning Experience building APIs using FastAPI or Flask Familiarity with Docker , Kubernetes , and modern deployment tools Comfortable using Git and version control best practices Experience with at least one cloud provider: AWS , GCP , or Azure Preferred Qualifications Projects in Computer Vision , NLP , or Reinforcement Learning Hands-on with cloud ML services like: AWS SageMaker , Google Vertex AI , or Azure ML Open-source contributions or published research Understanding of CI/CD for ML , model lifecycle management, and production workflows Why Join Us? Work on impactful AI/ML products solving real-world problems Collaborate with passionate engineers, researchers, and innovators Access cutting-edge tools, open-source models, and cloud infrastructure Grow continuously through hands-on projects, learning, and innovation Job Type: Full-time Pay: ₹480,000.00 - ₹600,000.00 per year Benefits: Health insurance Provident Fund Work from home Location Type: In-person Schedule: Day shift Monday to Friday Ability to commute/relocate: Hinjewadi, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): What is your current CTC? What is your expected CTC ? What is your legal notice period ? What is your current location ? How many years of experience do you have ? We are hiring candidates who must be available for an on-site interview at our Pune office. Education: Bachelor's (Preferred) Experience: Python: 1 year (Preferred) AI: 1 year (Preferred) Machine learning: 1 year (Preferred) Deep learning: 1 year (Preferred) Location: Hinjewadi, Pune, Maharashtra (Preferred) Work Location: In person

Budget : 15-20 LPA NP- immediate Location-Technopark, trivandrum Exprience- 5+ years We are seeking a highly skilled and experienced Senior AI Engineer with a minimum of 5 years of hands-on experience in designing, developing, and deploying robust Artificial Intelligence and Machine Learning solutions. The ideal candidate will be a strong problem-solver, adept at translating complex business challenges into scalable AI models, and capable of working across the entire AI/ML lifecycle, from data acquisition to model deployment and monitoring. This role requires a deep understanding of various AI techniques, strong programming skills, and a passion for staying updated with the latest advancements in the field. Key Responsibilities AI/ML Solution Design & Development: ○ Lead the design and development of innovative and scalable AI/ML models and algorithms to address specific business needs and optimize processes. ○ Apply various machine learning techniques including supervised, unsupervised, and reinforcement learning, deep learning, natural language processing (NLP), and computer vision. ○ Collaborate with data scientists, product managers, and other stakeholders to understand business requirements and translate them into technical specifications. Data Management & Preprocessing: ○ Oversee the collection, preprocessing, cleaning, and transformation of large and complex datasets to prepare them for AI model training. ○ Implement efficient data pipelines and ensure data quality and integrity. ○ Perform exploratory data analysis to uncover insights and inform model development. Model Training, Evaluation & Optimization: ○ Train, fine-tune, and evaluate AI/ML models for optimal accuracy, performance, and generalization. ○ Select the most suitable models and algorithms for specific tasks and optimize hyperparameters. ○ Conduct rigorous testing and debugging of AI systems to ensure reliability and desired outcomes. Deployment & MLOps: ○ Lead the productionization of AI/ML models, ensuring seamless integration with existing systems and applications. ○ Implement MLOps best practices for model versioning, deployment, monitoring, and retraining. ○ Develop and maintain APIs for AI model integration. Research & Innovation: ○ Continuously research and evaluate the latest advancements in AI/ML research, tools, and technologies. ○ Propose and implement innovative solutions to complex problems. ○ Contribute to the strategic direction of AI initiatives within the company. Collaboration & Mentorship: ○ Work collaboratively with cross-functional teams (e.g., software development, data science, product teams). ○ Clearly articulate complex AI concepts to both technical and non-technical audiences. ○ Mentor junior AI engineers and contribute to a culture of continuous learning. Required Skills And Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field. Minimum of 5 years of professional experience as an AI Engineer, Machine Learning Engineer, or a similar role. Expert-level proficiency in at least one major programming language used for AI development, such as Python (preferred), Java, or C++. Extensive experience with popular AI/ML frameworks and libraries, such as TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face Transformers. Strong understanding of core machine learning concepts, algorithms, and statistical modeling (e.g., regression, classification, clustering, dimensionality reduction). Solid knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers) and their applications. Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy). Familiarity with database systems (SQL, NoSQL) and big data technologies (e.g., Apache Spark, Hadoop) for managing large datasets. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services for scalable deployment. Understanding of software development best practices, including version control (Git), testing, and code review. Excellent problem-solving skills, analytical thinking, and a data-driven approach. Strong communication and interpersonal skills, with the ability to explain technical concepts clearly. Ability to work independently and as part of a collaborative team in a fast-paced environment. Immediate Joinee preferred

Are you passionate about building AI systems that create real-world impact? We are hiring a Senior AI Engineer with 5+ years of experience to design, develop, and deploy cutting-edge AI/ML solutions. 📍 Location: [Trivandrum / Kochi / Remote – customize based on your need] 💼 Experience: 5+ years 💰 Salary: ₹15–20 LPA 🚀 Immediate Joiners Preferred 🔧 What You’ll Do Design and implement ML/DL models for real business problems Build data pipelines and perform preprocessing for large datasets Use advanced techniques like NLP, computer vision, reinforcement learning Deploy AI models using MLOps best practices Collaborate with data scientists, developers & product teams Stay ahead of the curve with the latest research and tools ✅ What We’re Looking For 5+ years of hands-on AI/ML development experience Strong in Python, with experience in TensorFlow, PyTorch, Scikit-learn, Hugging Face Knowledge of NLP, CV, DL architectures (CNNs, RNNs, Transformers) Experience with cloud platforms (AWS/GCP/Azure) and AI services Solid grasp of MLOps, model versioning, deployment, monitoring Strong problem-solving, communication, and mentoring skills 💻 Tech Stack You’ll Work With Languages: Python, SQL Libraries: TensorFlow, PyTorch, Keras, Transformers, Scikit-learn Tools: Git, Docker, Kubernetes, MLflow, Airflow Platforms: AWS, GCP, Azure, Vertex AI, SageMaker Skills: cloud platforms (aws, gcp, azure),docker,computer vision,git,pytorch,airflow,hugging face,nlp,ml,ai,deep learning,kubernetes,mlflow,mlops,tensorflow,scikit-learn,python,machine learning

STRUCTURAL REBAR ENGINEER Bachelor’s degree in civil engineering / diploma Minimum of 3-5 years of experience as a structural engineer expertized in drawing checking (rebar) Excellent communication in English and interpersonal skills. Possess a strong understanding of rebar detailing standards and procedures to meet the quality. Strong understanding of rebar detailing codes and standards. Proficiency in any rebar detailing software ( e.g., CADS RC, Rebar CAD, RGS, Rebar Plus etc). Salary : Between 25,000/- to 60,000/- Location : Trivandrum, Technopark, Kerala, India. Job Description : 1. Checking the Latest Drawing: Make sure that the detailing team is using the most recent version of the drawings. This drawing should have been thoroughly reviewed and approved for construction use. If any details are missing coordinate with client and raise Rfi's 2. Reinforcement Compliance: Confirm that the reinforcement size and placement being used, which matches the approved design drawings. 3. Drawing Alignment: Verify that the architectural and structural drawings are consistent and aligned with each other. This helps ensure that the shop drawings matches the intended structural design. 4. Approval of Bar Bending Schedule (BBS): Ensure that the Bar Bending Schedule, which details the shapes and lengths of reinforcement bars, matches the design / shop drawings. 5. Bar Lap Length and Location: Confirm that the overlap length of reinforcement bars (bar lap length) and their staggered positioning align with what is specified in the approved structural drawings. 6. Support and Spacing: Verify whether the reinforcement drawings are provided with well-supported rebar's including the use of spacers or chair supports. 7. Cover to Reinforcement: Examine the concrete cover on the top, bottom, and sides of the reinforcement is the correct thickness with reference with the design drawings. 8. CAD check: Make sure that the shop drawings is drafted in proper layer, text style, font type, dimension type etc. Company Description GRID Engineering Services, an ISO 9001:2015 certified consultancy, excels in Structural and Architectural Shop drawings, Scan to BIM, BIM Services, As-Built, and Add-in Development. With over two decades of expertise in global infrastructure projects, our portfolio includes metro systems, bridges, commercial buildings, and residential developments. Our diverse client base spans countries such as Singapore, Denmark, Sweden, UAE, Qatar, Latvia, France, and KSA. We offer both off-site and on-site resource outsourcing to meet diverse client needs, ensuring quick turnarounds and high client satisfaction. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹36,024.19 per month Schedule: Day shift Application Question(s): Do you know rebar detailing ? Work Location: In person

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

Looking only for Immediate Joiners Experience : Minimum 5 - 7 yrs Conduct daily site inspections to ensure compliance with design, safety & quality standards Perform structural analysis and design, including BBS and reinforcement verification per IS codes Develop project execution plans, manage schedules and budgets to ensure timely delivery Supervise and coordinate labor and subcontractors, ensuring quality and adherence to plans Collaborate daily with architects and management to align execution with design intent

Location: Anywhere in the World Permanent Remote (Europe, Latam, Asia ) Contract length -6 Months Opportunity- Full Time, 8 hours, Must-Have Total Years Of exp- 4+ years experience mandatory Mandatory Skills: Rust - min 3 yrs, CI/CD - min 3 yrs, Git - min 3 yrs About The Role We are seeking a proficient Rust Developer with a strong interest in machine learning and human-computer interaction to join our team. In this role, you will contribute to the development and refinement of large language models (LLMs) by participating in Reinforcement Learning from Human Feedback (RLHF) tasks. Your work will involve building tools to facilitate human feedback, as well as directly providing insights to guide the training and improvement of LLMs Key Responsibilities Participate in RLHF tasks by providing human feedback on LLM outputs, helping to guide model training. Evaluate the responses generated by LLMs, identifying areas where the model needs improvement and providing qualitative feedback. Work closely with data scientists and ML engineers to ensure that feedback is accurately reflected in the models learning process. Collaborate with cross-functional teams to understand the requirements for human feedback in the RLHF process. Provide insights into how human feedback can be systematically incorporated into model training and improvement. Document processes and best practices for providing and integrating human feedback in LLM training. Stay informed about the latest advancements in reinforcement learning, LLMs, and human-computer interaction. Experiment with new methods and tools to improve the collection and integration of human feedback in RLHF tasks. Requirements Technical Skills: 3+ years of experience in Rust development, with a solid understanding of systems programming, performance optimization, and concurrency. Familiarity with machine learning concepts, particularly reinforcement learning, is highly desirable. Experience with human-computer interaction, user feedback systems, or similar domains is a plus. Proficiency with version control systems (e.g., Git) and CI/CD pipelines. Analytical Skills: Strong problem-solving skills, with the ability to analyze and improve the efficiency of RLHF tasks. Experience in evaluating and providing constructive feedback on AI/ML outputs. Skills: problem-solving,rust,performance optimization,learning,machine learning,problem-solving skills,cd,reinforcement learning,reinforcement,systems programming,human-computer interaction,concurrency,ci/cd,ci/cd pipelines,analytical skills,ai/ml,git,user feedback systems,version control systems,ci,

Description Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. The candidate will leverage data analysis tools like SQL, Excel, and other data management systems to extract and examine data, driving informed decision-making. By monitoring existing metrics and developing new ones in collaboration with internal teams, identify opportunities to enhance processes and systems. Design and implement reporting solutions that empower stakeholders to effectively manage the business. Additionally, support cross-functional teams in the day-to-day execution of program implementation and lead small to medium operational enhancement projects, driving continuous improvement and optimizing outcomes. Key job responsibilities Retrieve and analyze data using SQL, Excel, and other data management systems. Monitor existing metrics and create/implement new metrics where needed, partnering with internal teams to identify process and system improvement opportunities. Design and implement reporting solutions to enable stakeholders to manage the business and make effective decisions. Support cross-functional teams on the day-to-day execution of the existing program implementation. Drive small to medium operational enhancement projects. Basic Qualifications Bachelor's degree or equivalent Experience in Excel (macros, index, conditional list, arrays, pivots, lookups) Bachelor's degree in business or analytical discipline Knowledge of SQL Knowledge of Python, VBA, Macros, Selenium scripts Preferred Qualifications 3+ years of complex Excel VBA macros writing experience Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc. Are enrolled in or have completed a Bachelor's degree in business or analytical discipline Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 12 SEZ Job ID: A3030459

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Lead, train, evaluate new hires in the system2. Plan and manage internal reinforcement and refresher trainings and feedback sessions on monthly basis3. Work collaboratively and conduct TNA/TNI with the Quality and Operations team to identify training needs4. Interact with client on weekly basis5. Manage content on the Learning Management System and create training SOPs6. Identify process gaps and fix them through process changes, refresher trainings, etc.7. Optimize training processes for efficiency and analyze training effectiveness8. Plan and implement training programs that will prepare employees for the next level in the domain9. Implement training KPIs, prepare and present reports on the same10. Storyboard and prepare learning materials for programs11. Coach and provide feedback to trainees on their performance in class and on shop floor12. Create new training content and update existing content to support new hires and existing staff on the floor 13. Class records to be maintained and reports/dashboards to be published to leadership on regular basis14. Research new training methods and implement them Qualifications Sound knowledge of travel domain – Reservation and Ticketing, Customer Relations; someone who has full exposure to the airline and travel agency world2. Overall travel experience of more than 12 years with experience in different domains like Guest Relations, Ticketing3. Classroom training experience with coaching and feedback of more than 6 years in reservation and ticketing4. Should have used new age training methodologies to train batches and be aware of various training approaches5. Should have new hire training experience with adequate coaching and feedback opportunities6. Ability to conduct TNA/TNI and draw up relevant training plan and training content7. Good people management and organizational skills8. Good knowledge of MS Office – PowerPoint, Excel and Word9. Excellent communication skills10. Should be able to work on multiple projects at the same time and plan and prioritize tasks11. Should be able to work in shifts if required by the Operating teams or Clients12. Should have completed graduation or a similar degree

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? Model Risk Management Group (MRMG) within Global Risk and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models. Purpose of the Role: The successful candidate will be responsible to manage and controls model risk, specifically associated to the next generation Artificial Intelligence or Machine Learning based models. This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations. The specific responsibilities include: · Conduct independent oversight of enterprise-wide models with a focus on Artificial Intelligence and Machine Learning based models for credit, fraud, or other business/ risk types. · Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards - Conduct research to explore opportunities to elevate model excellence and drive business impact - Seek and incorporate external perspective in day-to-day work and projects - Communicating results to partners, senior leadership and various model committees Critical Factors to Success: 1. Business Outcomes : • Effectively challenge the conceptual soundness, theory and approach, purpose/usages of predictive models • Maximize business returns by institutionalizing efficient and accurate models. • Innovate modeling techniques and variable creation • Ensure modeling accuracy and enhance modeling efficiency in existing processes using Machine Learning 2. Leadership Outcomes : • Put enterprise thinking first, connect the roles agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders. • Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings • Demonstrate learning agility, make decisions quickly and with the highest level of integrity • Lead with a digital mindset and deliver the world’s best customer experiences every day Past Experience : 4-5 years’ experience in credit and fraud analytics, machine learning or both Academic Background : B.tech / B.Eng, MBA, Master’s Degree in Economics, Statistics or Related Fields From Top Tier Institute Functional Skills/Capabilities : - Hands-on model development or validation experience. - Strong Analytical and Relationship and project management skills for driving validation initiatives. - Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred. - Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment. - Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution. - Effectively communicating complex Analytical results to Business Partners and Senior Management. - Flexibility and Adaptability to Work Within tight deadlines and changing priorities. Technical Skills/Capabilities : - Experience with at-least one of the data manipulation tools such as Python, SQL and PySpark is a must have. - Data Science/ Machine Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Techniques - active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian - processes, Bayesian models, map reduce techniques, Random Forest, Gradient Boosting, Deep Learning, Text Mining, Algorithms. Behavioral Skills/Capabilities: Enterprise Leadership Behaviors : - Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective - Bring Others With You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential - Do It The Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage: We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

RCC Finishing Execution Work Residential High rise Residential Project interior fit-out Supervising surveys interpreting third survey|BOQ|QAQC Bill Tender contractor’s claims| Estimating costcontrolManaging tenders sub-contractor’s claims| Execution Required Candidate profile 12th Pass Diploma Civil Preferable with 8-10 years of Civil High Rise Luxurious Residential Building construction Project experience, Civil RCC Execution Finishing Interior work of RealEstate Project.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Functional Description : Model Risk Management Group (MRMG) within Global Risk and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models. Roles & Responsibilities : The successful candidate will be responsible to manage and controls model risk, specifically associated to the regulatory models like CCAR, CECL, IFRS9, Economic Capital and Membership Reward. This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations. The specific responsibilities include: • Conduct independent oversight of enterprise-wide models with a focus on a variety of statistical and mathematical models developed and used in Finance, Treasury and Risk - Economic Capital models, IFRS9, CECL, and CCAR Stress Test models, • Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards • Conduct research to explore opportunities to elevate model excellence and drive business impact • Communicating results to partners, senior leadership and various model committees Critical Factors to Success: 1.Business Outcomes: • Effectively challenge the conceptual soundness, theory and approach, purpose/usages of predictive models • Maximize business returns by institutionalizing efficient and accurate models. • Innovate modeling techniques and variable creation • Ensure modeling accuracy and enhance modeling efficiency in existing processes 2. Leadership Outcomes: • Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders. • Lead with an external perspective, challenge status quo and bring continuous innovation to the existing models • Demonstrate learning agility, make decisions quickly and with the highest level of integrity • Lead with a digital mindset and deliver the world’s best customer experiences every day Minimum Qualifications: 0-2 years' experience in analytics or big data workstreams Master’s degree in economics, Statistics or Related Fields from Top Tier Institute Functional Skills/Capabilities: Hands-on model development or validation experience. • Strong Analytical and Relationship and project management skills for driving validation initiatives. • Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred. • Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment. • Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution. • Effectively communicating complex Analytical results to Business Partners and Senior Management. • Flexibility and Adaptability to Work Within tight deadlines and changing priorities. Technical Skills/Capabilities: Experience with at least one of the data manipulation tools such as Python, Py Spark etc. is a must have. Data Science/Traditional Modeling, Machine Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Techniques - active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, map reduce techniques, Random Forest, Gradient Boosting, Deep Learning, Text Mining Algorithms Behavioral Skills/Capabilities: Enterprise Leadership Behaviors • Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective • Bring Others with You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential • Do It the Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Company Description AGF Tecnik, a division of AGF Group Inc., specializes in technical drawing (reinforcement steel drawing) and provides estimation and detailing services for diverse construction projects. Based in Longueuil, AGF Tecnik was established in India in the spring of 2018. AGF Group Inc. operates over 40 business units worldwide in countries including Canada, Chile, Costa Rica, Ecuador, France, French West Indies, Kuwait, Peru, Qatar, United Arab Emirates, and the United States. For more information, follow AGF Group Inc. on LinkedIn. Role Description This is an on-site, full-time role located in Thanjavur for a Rebar Detailer. The Rebar Detailer will be responsible for creating detailed reinforcement steel drawings, providing estimation services, and ensuring precision in technical drawings. Day-to-day tasks include collaborating with the engineering team, reviewing construction blueprints, integrating structural details, and consulting on project specifications. Qualifications Experience with Oracle Applications and Oracle HR Skills in Oracle Database management and Integration Consulting capabilities for project specifications and requirements Strong attention to detail and ability to work on-site in Thanjavur Ability to collaborate effectively with the engineering team Bachelor's degree in Civil Engineering or a related field preferred

Job Description Roles & responsibilities Strategic Leadership & Vision Lead and manage a 100-member AI delivery team to ensure successful project delivery. Develop and implement AI strategies and solutions in collaboration with Product Leads and Solution Architects. Ensure all PODs are aligned with project timelines and organizational objectives, delivering high quality and excellent CSAT. Drive vendor teams to meet project timelines and deliverables Stakeholder Engagement & Communication Collaborate with stakeholders to define project scope, requirements, and deliverables. Communicate project status, updates, and issues to stakeholders regularly. Resolve conflicts and provide solutions to ensure smooth project execution Project Execution & Delivery Oversight Monitor project progress and performance (KPIs), ensuring timely and within-budget delivery. Manage project budgets, resources, and timelines effectively. Identify and mitigate risks to ensure project success. Team Management & Culture Building Provide leadership and guidance to team members. Foster a collaborative and innovative work environment. Ensure compliance with industry standards and regulations. Mandatory technical & functional skills AI & Machine Learning Expertise Understanding of supervised, unsupervised, and reinforcement learning; NLP and Vision Experience with AI/ML platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI). Data Engineering & Analytics Proficiency in data pipelines, ETL processes, and data governance. Strong grasp of data quality, lineage, and auditability Knowledge of big data tools (e.g., Spark, Hadoop, Databricks) Cloud & Infrastructure Hands-on experience with cloud platforms (Azure preferred in enterprise audit environments). Understanding of containerization (Docker, Kubernetes) and CI/CD pipelines. Audit Domain Knowledge Familiarity with audit workflows, risk assessment models, and compliance frameworks. Understanding of regulatory standards (e.g., SOX, GDPR, ISO 27001). Project & Program Management Tools Proficiency in tools like JIRA, Confluence, MS Project, and Azure DevOps. Experience with Agile, Scrum, and SAFe methodologies. Strategic Planning & Execution Ability to translate business goals into AI project roadmap Experience in managing multi-disciplinary teams across geographies Stakeholder Management Strong communication and negotiation skills with internal and external stakeholders. Ability to manage expectations and drive consensus. Risk & Compliance Management Proactive identification and mitigation of project risks. Ensuring compliance with internal audit standards and external regulations. Leadership & Team Development Proven ability to lead large teams, mentor senior leads, and foster innovation. Conflict resolution and performance management capabilities. Key behavioral attributes/requirements Demonstrates ability to think critically and demonstrate confidence to solve problems and suggest solutions Be a quick learner and demonstrate adaptability to change, with strong stakeholder and negotiation skills Should be willing to and capable of delivering under tight timelines, basis the business needs including working on weekends Willingness to work based on delivery timelines and flexibility to stretch beyond regular hours depending on project criticality Responsibilities #KGS Roles & responsibilities Strategic Leadership & Vision Lead and manage a 100-member AI delivery team to ensure successful project delivery. Develop and implement AI strategies and solutions in collaboration with Product Leads and Solution Architects. Ensure all PODs are aligned with project timelines and organizational objectives, delivering high quality and excellent CSAT. Drive vendor teams to meet project timelines and deliverables Stakeholder Engagement & Communication Collaborate with stakeholders to define project scope, requirements, and deliverables. Communicate project status, updates, and issues to stakeholders regularly. Resolve conflicts and provide solutions to ensure smooth project execution Project Execution & Delivery Oversight Monitor project progress and performance (KPIs), ensuring timely and within-budget delivery. Manage project budgets, resources, and timelines effectively. Identify and mitigate risks to ensure project success. Team Management & Culture Building Provide leadership and guidance to team members. Foster a collaborative and innovative work environment. Ensure compliance with industry standards and regulations . Mandatory technical & functional skills AI & Machine Learning Expertise Understanding of supervised, unsupervised, and reinforcement learning; NLP and Vision Experience with AI/ML platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI). Data Engineering & Analytics Proficiency in data pipelines, ETL processes, and data governance. Strong grasp of data quality, lineage, and auditability Knowledge of big data tools (e.g., Spark, Hadoop, Databricks) Cloud & Infrastructure Hands-on experience with cloud platforms (Azure preferred in enterprise audit environments). Understanding of containerization (Docker, Kubernetes) and CI/CD pipelines. Audit Domain Knowledge Familiarity with audit workflows, risk assessment models, and compliance frameworks. Understanding of regulatory standards (e.g., SOX, GDPR, ISO 27001). Project & Program Management Tools Proficiency in tools like JIRA, Confluence, MS Project, and Azure DevOps. Experience with Agile, Scrum, and SAFe methodologies. Strategic Planning & Execution Ability to translate business goals into AI project roadmap Experience in managing multi-disciplinary teams across geographies Stakeholder Management Strong communication and negotiation skills with internal and external stakeholders. Ability to manage expectations and drive consensus. Risk & Compliance Management Proactive identification and mitigation of project risks. Ensuring compliance with internal audit standards and external regulations . Leadership & Team Development Proven ability to lead large teams, mentor senior leads, and foster innovation. Conflict resolution and performance management capabilities. Key behavioral attributes/requirements Demonstrates ability to think critically and demonstrate confidence to solve problems and suggest solutions Be a quick learner and demonstrate adaptability to change, with strong stakeholder and negotiation skills Should be willing to and capable of delivering under tight timelines, basis the business needs including working on weekends Willingness to work based on delivery timelines and flexibility to stretch beyond regular hours depending on project criticality Qualifications This role is for you if you have the below Educational Qualifications B.Tech or M.Tech in CSE Work Experience 14+ years of Professional Relevant Experience

Required Skills Education : B.Tech / B.E or ME/ M.Tech / MCA Experience : 5-7 years in software development, especially with large-scale data systems. Machine Learning : Solid understanding of ML concepts (e.g., regression, classification, clustering). Programming : Proficient in Python (or R, Java, C++). ML Tools : Hands-on with libraries like scikit-learn, TensorFlow, PyTorch, Keras. Foundational Knowledge : Strong grasp of data structures, algorithms, statistics, and DBMS. Communication : Excellent verbal and written skills for both technical and non-technical audiences. Data Tools : Familiar with Pandas, NumPy, SQL. Soft Skills : Analytical thinking, problem-solving, adaptability, and teamwork. Desired Skills Advanced ML Areas : Exposure to deep learning, NLP, computer vision, or reinforcement learning. Cloud Platforms : Knowledge of AWS, Azure, or GCP. Version Control : Familiarity with Git. MLOps : Understanding of MLOps and pipeline concepts (bonus).

Position Title: AI Specialist - Impact Based Forecasting Due to the operational nature of this role, preference will be given toapplicants who are currently based in Chennai, India and possess valid work authorization. RIMES is committed to diversity and equal opportunity in employment. Open Period: 11 July 2025 – 10 August 2025 Background: The Regional Integrated Multi-Hazard Early Warning System for Africa and Asia (RIMES) is an international and intergovernmental institution, owned and governed by its Member States, for the generation, application, and communication of multi-hazard early warning information. RIMES was formed in the aftermath of the 2004 Indian Ocean tsunami, as a collective response by countries in Africa and Asia to establish a regional early warning system within a multi-hazard framework, to strengthen preparedness and response to trans-boundary hazards. RIMES was formally established on 30 April 2009 and registered with the United Nations on 1 July 2009. It operates from its regional early warning center located at the Asian Institute of Technology (AIT) campus in Pathumthani, Thailand. Position Description: The AI Specialist – Impact-Based Forecasting design and implement AI-based solutions to support predictive analytics and intelligent decision support across sectors (e.g., climate services, disaster management /The AI Specialist will play a central role in building robust data pipelines, integrating multi-source datasets, and enabling real-time data-driven decision-making by stakeholders. The role involves drawing from and contribute to multi-disciplinary datasets and working closely with a multi-disciplinary team within RIMES for generating IBF DSS, developing contingency plans, automating monitoring systems, contributing to Post-Disaster Needs Assessments (PDNA), and applying AI/ML techniques for risk reduction. This position requires a strong understanding of meteorological, hydrological, vulnerability and exposure patterns and translates data into actionable insights for disaster preparedness and resilience planning. The position reports to the Meteorology and Disaster Risk Modeling Specialist and India Regional Program Adviser, overseeing the AI Specialist – Impact-Based Forecasting’s work or as assigned by RIMES’ institutional structure and in close coordination with the Systems Research and Development Specialist and Project Manager. Duty station: RIMES Project Office Chennai, India (or other locations as per project requirements). Type of Contract: Full-time Project-Based contract Skills and Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience: Minimum of 3 years of experience in data engineering, analytics, or IT systems for disaster management, meteorology, or climate services. Experience in multi-stakeholder projects and facilitating capacity-building programs. Knowledge Skills and Abilities: Machine Learning Fundamentals: Deep understanding of various ML algorithms, including supervised, unsupervised, and reinforcement learning. This includes regression, classification, clustering, time series analysis, anomaly detection, etc. Deep Learning: Proficiency with deep learning architectures (e.g., CNNs, RNNs, LSTMs, Transformers) and frameworks (TensorFlow, PyTorch, Keras). Ability to design, train, and optimize complex neural networks. Strong programming skills in Python, with extensive libraries (NumPy, Pandas, SciPy, Scikit-learn, Matplotlib, Seaborn, GeoPandas). Familiarity with AI tools: such as PyTorch, TensorFlow, Keras, MLflow, etc. Data Visualization: Ability to create clear, compelling visualizations to communicate complex data and model outputs. Familiarity with early warning systems, disaster risk frameworks, and sector-specific IBF requirements is a strong plus. Proficiency in technical documentation and user training. Personal Qualities: Excellent interpersonal skills; team-orientated work style; pleasant personality. Strong desire to learn and undertake new challenges. Creative problem-solver; willing to work hard. Analytical thinker with problem-solving skills. Strong attention to detail and ability to work under pressure. Self-motivated, adaptable, and capable of working in multicultural and multidisciplinary environments. Strong communication skills and the ability to coordinate with stakeholders. Major Duties and Responsibilities: Impact Based Forecasting Collaborate with other members of the IT team, meteorologists, hydrologists, GIS specialists, and disaster risk management experts within RIMES to ensure the development of IBF DSS. Develop AI models (e.g., NLP, computer vision, reinforcement learning) Integrate models into applications and dashboards. Ensure model explainability and ethical compliance. Assist the RIMES Team in applying AI/ML models to forecast hazards and project likely impacts based on exposure and vulnerability indices. Work with forecasters and domain experts to automate the generation of impact-based products. Ensure data security, backup, and compliance with data governance and interoperability standards. Train national counterparts on the use and management of the AL, including analytics dashboards. Collaborate with GIS experts, hydromet agencies, and emergency response teams for integrated service delivery. Technical documentation on data architecture, models, and systems. Capacity Building and Stakeholder Engagement Facilitate training programs for team members and stakeholders, focusing on RIMES policies, regulations, and the use of forecasting tools. Develop and implement a self-training plan to enhance personal expertise, obtaining a trainer certificate as required. Prepare and implement training programs to enhance team capacity and submit training outcome reports. Reporting Prepare technical reports, progress updates, and outreach materials for stakeholders. Maintain comprehensive project documentation, including strategies, milestones, and outcomes. Capacity-building workshop materials and training reports. Other Responsibilities Utilize AI skills to assist in system implementation plans and decision support system (DSS) development. Utilize skills to assist in system implementation plans and decision support system (DSS) development. Assist in 24/7 operational readiness for client early warning systems such as SOCs, with backup support from RIMES Headquarters. Undertake additional tasks as assigned by the immediate supervisor or HR manager based on recommendations from RIMES technical team members and organizational needs. The above responsibilities are illustrative and not exhaustive. Undertake any other relevant tasks that could be needed from time to time. Contract Duration The contract will initially be for one year and may be extended based on the satisfactory completion of a 180-day probationary period and subsequent annual performance reviews. How to Apply: Interested candidates should send your application letter, resume, salary expectation and 2 references to rimeshra@rimes.int by midnight of 10 August 2025, Bangkok time. Please state “AI Specialist—Impact-Based Forecasting: Your Name “the Subject line of the email. Only short-listed applicants will be contacted. Ms. Dusadee Padungkul Head-Department of Operational Support Regional Integrated Multi-Hazard Early Warning System AIT Campus, 58 Moo 9 Paholyothin Rd., Klong 1, Klong Luang, Pathumthani 12120 Thailand. RIMES promotes diversity and inclusion in the workplace. Well-qualified applicants particularly women are encouraged to apply. Job Type: Full-time Pay: ₹50,000.00 - ₹100,000.00 per month Schedule: Monday to Friday Ability to commute/relocate: Chepauk, Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Kindly specify your salary expectation per month. Do you have any experience or interest in working with international or non-profit organizations? Please explain. Education: Bachelor's (Required) Experience: working with international organization: 1 year (Preferred) Data engineering: 3 years (Required) Data analytics: 3 years (Required) Disaster management: 3 years (Preferred) Language: English (Required) Location: Chepauk, Chennai, Tamil Nadu (Required)

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical, highly regulated industries by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations—including banks, financial institutions, and large enterprises—to unlock AI's full potential while maintaining transparency, safety, and regulatory compliance. Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At AryaXAI, every team member contributes hands-on in a flat organizational structure that values curiosity, initiative, and exceptional performance, ensuring that our work not only advances technology but also meets the rigorous demands of regulated sectors. Role Overview As a Senior Data Scientist at AryaXAI, you will be uniquely positioned to tackle large-scale, enterprise-level challenges in regulated environments. You’ll lead complex AI implementations that prioritize explainability, risk management, and compliance, directly impacting mission-critical use cases in the financial services industry and beyond. Your expertise will be crucial in deploying sophisticated models that address the nuances and stringent requirements of regulated sectors. Responsibilities Model Evaluation & Customization: Evaluate, fine-tune, and implement appropriate AI/ML models on AryaXAI.com tailored for enterprise and regulated use cases. Consider factors such as accuracy, computational efficiency, scalability, and regulatory constraints. Architectural Assessment: Assess and recommend various model architectures, ensuring that selected solutions meet the high standards required by complex business problems in financial services and other regulated industries. Enterprise Integration: Lead the deployment of AI models into production environments, ensuring seamless integration with existing enterprise systems while upholding strict compliance and security standards. Advanced AI Techniques: Drive the development and implementation of state-of-the-art AI architectures, incorporating advanced explainability, AI safety, and alignment techniques suited for regulated applications. Specialization & Innovation: Take ownership of specialized areas within machine learning/deep learning to address specific challenges related to complex datasets, regulatory requirements, and enterprise-grade AI solutions. Collaboration & Quality Assurance: Collaborate closely with Machine Learning Engineers (MLEs) and Software Development Engineers (SDEs) to roll out features, manage quality assurance, and ensure that all deployed models meet both performance and compliance benchmarks. Documentation & Compliance: Create and maintain detailed technical and product documentation, with an emphasis on auditability and adherence to regulatory standards. Qualifications Educational & Professional Background: A solid academic background in machine learning, deep learning, or reinforcement learning, ideally complemented by experience in regulated industries such as financial services or enterprise sectors. Regulated Industry Experience (FS, Banking or Insurance is preferred) Proven track record (2+ years) of hands-on experience in data science within highly regulated environments, with a deep understanding of the unique challenges and compliance requirements in these settings. Technical Expertise: Demonstrated proficiency with deep learning frameworks (TensorFlow, PyTorch, etc.) and experience in implementing advanced techniques (Transformer models, GANs, etc.). Diverse Data Handling: Experience working with varied data types—including textual, tabular, categorical, and image data—and the ability to develop models that handle complex, enterprise-level datasets. Deployment Proficiency: Expertise in deploying AI solutions in both cloud and on-premise environments, ensuring robust, scalable, and secure integrations with enterprise systems. Publications & Contributions: Peer-reviewed publications or significant contributions to open-source tools in AI are highly regarded.