2099 Reinforcement Jobs - Page 45

Description Unleash your passion for innovation at the forefront of artificial intelligence! We are seeking talented applied scientists who are driven to revolutionize customer experiences through technologies. Join our team and embark on a journey to redefine the boundaries of machine learning, deep learning, reinforcement learning, and large language models (LLMs). At our team, you'll have the opportunity to tackle complex challenges across various domains, from optimizing marketing strategies to enhancing delivery time predictions. Whether your expertise lies in teaching machines to learn and adapt, building intelligent systems that interact using human-like language, or creating seamless user experiences, we offer a role that aligns with your skills and ambitions. Our Full-time Positions Span Several Key Areas, Including Machine Learning: Unleash the power of machine learning theory through experimentation and innovation. Leverage techniques such as random forests, Bayesian networks, ensemble learning, and clustering to develop learning systems capable of handling massive datasets and solving previously intractable problems. Reinforcement Learning: Drive advancements in reinforcement learning by developing algorithms that enable systems to make sequential decisions, learn from their environment, and optimize performance in dynamic, complex scenarios. Apply your expertise to create intelligent systems that learn and adapt in real time. Large Language Models (LLMs): Work on state-of-the-art LLMs to push the boundaries of natural language understanding and generation. Develop and deploy models that can comprehend, generate, and interact using human-like language, enabling a wide range of application-oriented solutions. Natural Language Processing and Speech Technologies: Engage with research in natural language processing. We are hiring in all areas of spoken language understanding, including NLP, NLU, ASR, and text-to-speech (TTS), to tackle complex challenges in human-computer interaction. Computer Vision and Robotics: Develop solutions where visual input enhances customer experiences. Work with advanced technology, focusing on highly targeted use cases to launch products that offer innovative and practical solutions to real-world problems. Join us and be part of a team that is redefining the future of artificial intelligence. Embrace the opportunity to invent, design, and implement state-of-the-art technologies that drive impactful outcomes and create unforgettable customer experiences. Key job responsibilities Access and work with vast datasets containing billions of images, videos, and other forms of data to build large-scale, high-impact systems. Analyze and model terabytes of text, images, and various data types to tackle real-world problems, translating business and functional requirements into rapid prototypes or proofs of concept. Lead the design and development of end-to-end systems, taking ownership of solutions from concept to deployment. Write technical white papers, develop technical roadmaps, and drive production-level projects that support critical initiatives. Collaborate closely with business partners to develop innovative solutions and deploy them into production, solving complex business problems. Engage with diverse teams and cross-functional groups to address and solve complex challenges, driving value and efficiency across the organization. Your work will push the boundaries of what's possible and deliver technologies that enhance customer experiences worldwide. Basic Qualifications Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience in solving business problems through machine learning, data mining and statistical algorithms Experience in designing experiments and statistical analysis of results Experience researching about machine learning, deep learning, NLP, computer vision, data science Preferred Qualifications Experience implementing algorithms using both toolkits and self-developed code Have publications at top-tier peer-reviewed conferences or journals 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 - Karnataka Job ID: A2997182

Date: Jun 23, 2025 Location: Gurugram, IN Company: AkzoNobel About AkzoNobel Since 1792, we’ve been supplying the innovative paints and coatings that help to color people’s lives and protect what matters most. Our world class portfolio of brands – including Dulux, International, Sikkens and Interpon – is trusted by customers around the globe. We’re active in more than 150 countries and use our expertise to sustain and enhance the fabric of everyday life. Because we believe every surface is an opportunity. It’s what you’d expect from a pioneering and long-established paints company that’s dedicated to providing sustainable solutions and preserving the best of what we have today – while creating an even better tomorrow. Let’s paint the future together. For more information please visit www.akzonobel.com © 2024 Akzo Nobel N.V. All rights reserved. Job Purpose The incumbent will responsible to deliver on sales volume, revenue, market share and profit objectives of the Trims and Woodcare business through appropriate brand plans Key Accountabilities P&L accountability Drive high speed Innovation plans and manage the network to grow and deliver in white spaces through portfolio expansion Strategy Implementation of all brand activities to deliver top line and bottom line through cross functional teams and agencies Deliver on innovation pipeline for the portfolio Partner closely with R&D on product development process comprising of benchmarking, kitchen trials and on-field testing Lead the project network from product briefing to launch through collaboration with cross functional teams – R&D, Factory & production planning, Procurement, Finance etc Develop pricing strategy for new products in the portfolio taking into account the current laddering and competition pricing Strategy Implementation Contribute to the development, reinforcement and implementation of long-term strategy and plans for the brand. Help in the development of, securing agreement to and implementation of annual brand plans & effort priorities to help the brand achieve its financial targets. Develop and implement effective & efficient consumer promotions to help achieve brand targets. Experience 3-7 Years of relevant experience At AkzoNobel we are highly committed to ensuring an inclusive and respectful workplace where all employees can be their best self. We strive to embrace diversity in a context of tolerance. Our talent acquisition process plays an integral part in this journey, as setting the foundations for a diverse environment. For this reason we train and educate on the implications of our Unconscious Bias in order for our TA and hiring managers to be mindful of them and take corrective actions when applicable. In our organization, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. Requisition ID: 46797

Software Engineer, AI — Code Evaluation & Training (Remote) Help train large-language models (LLMs) to write production-grade code across a wide range of programming languages: Compare & rank multiple code snippets , explaining which is best and why. Repair & refactor AI-generated code for correctness, efficiency, and style. Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly. End result: the model learns to propose, critique, and improve code the way you do. RLHF in one line Generate code ➜ expert engineers rank, edit, and justify ➜ convert that feedback into reward signals ➜ reinforcement learning tunes the model toward code you’d actually ship. What You’ll Need 4+ years of professional software engineering experience in Python (Constraint programming experience is a bonus, but not required) Strong code-review instincts —you can spot logic errors, performance traps, and security issues quickly. Extreme attention to detail and excellent written communication skills. Much of this role involves explaining why one approach is better than another. This cannot be overstated. You enjoy reading documentation and language specs and thrive in an asynchronous, low-oversight environment. What You Don’t Need No prior RLHF (Reinforcement Learning with Human Feedback) or AI training experience. No deep machine learning knowledge. If you can review and critique code clearly, we’ll teach you the rest. Tech Stack We are looking for engineers with a strong command of Python . Logistics Location: Fully remote — work from anywhere Compensation: From $30/hr to $70/hr, depending on location and seniority Hours: Minimum 15 hrs/week, up to 40 hrs/week available Engagement: 1099 contract Straightforward impact, zero fluff. If this sounds like a fit, apply here!

Job Description Summary Many employers promise the chance to make a difference – at GE Vernova, you can change the world. Bringing clean, affordable power to the developing world, decarbonizing the world’s electricity network, helping to build the grid of the future powered by renewable energy … they’re all part of our company’s strategy. If you're passionate about applying AI, and excited to tackle UN SDG-7,13 and Energy Transition challenges, as well as motivated by the prospect of shaping the future of energy industry through innovation and new business models, we encourage you to apply. Join us in our journey to redefine what's possible with AI and make a lasting impact on the world of Energy. We are seeking a dynamic, forward-thinking and results-driven Senior Artificial Intelligence (AI) Application architect, who will work on building and deployment of grid innovation applications using model-to-code, and architecting prototype systems to validate and verify in containerized form. Reporting to AI leader in CTO organization, the Senior AI application architect will work in close collaboration with GA product lines, R&D teams, product management and other GA functions. This role will also be responsible for building the data analytics applications framework and work closely with other functions across Grid Automation (GA) business to identify areas where the business can leverage data and data analytics to drive efficiency, increase customer satisfaction, and develop POCs to solve critical problems for our customers. As part of the MLOps architecture development, the Senior AI application architect will enable the ML Model end to end lifecycle i. e., from Commissioning training datasets to deploying it in production environment through automated CI/CD pipeline. Job Description ESSENTIAL RESPONSIBILITIES: The Senior AI Application Architect Will Be Responsible For Demonstrate novel & transformational applications/analytics to drive innovation & differentiation. Define the framework to collect, structure and use of databases for AI, to extract value. Develop AI/ML application to build differentiated products and solutions; with ability to work on customers value-driven applications/analytics to drive innovations. Design and deploy high-quality, scalable, and secure AI/ML models and applications on the GE GridNode/ edge platforms, using container or microservices principles. Develop and implement strategies for optimizing the performance and scalability of machine learning models in production. Collaborate with product management, R&D, and other functions in to understand their needs and develop innovative solutions. Implement and maintain data pipelines for AI/ML models. Monitor and optimize the performance of AI/ML models in production. Identification of Intellectual property/IP clearance. Collaborate with cross-functional teams. Qualifications/Requirements Master’s/PhD Degree in computer science, Information technology (IT), electrical engineering, or electric power engineering, specifically in the computer and electric power engineering field with minimum 6+ years of data science working experience. 6+ years of professional working environment and knowledge of artificial intelligence (AI) and machine learning (ML), including, unsupervised learning, supervised learning, and reinforcement learning, large language models (LLMs). 5-10 years R&D or Applications experience related to power system protection and automation. Proven experience in applying AI/ML frameworks/workflows, AI/MLOps with CI/CD using Cloud-native and on-prem development and deployment in OT/industrial automation environments. Hands-on professional experience in developing and testing AI/ML algorithms; AND/OR demonstrated professional experience with different scenarios of grid/physics models in power system simulation tools, MATLAB/PSCAD; as well as dynamics PSS/E, Digsilent, and equivalent. Experience with MLOps principles. Experience with DevOps, data pipelines, Azure ML registry, deployment methods viz. Docker, K8s, etc. Able to share ideas and work well in a team environment, proactive approach to tasks displaying initiative. Guide and mentor others in the team. Flexible and adaptable; open to change and modification of tasks, working in multi-tasking environment. Demonstrated professional experience with different scenarios of appropriate AI/ML models for energy/grid applications. Desired Characteristics 9+ years of industry experience. Research or industry experience with simulation using scientific programming tools or languages, such as MATLAB, C++, C#, or Python, R, etc. Experience in developing and implementing ML models, such as predictive maintenance, load forecasting, and grid optimization using cloud servers such as AWS Sagemaker or equivalent in the Power Systems domain. Hands-on experience in MLOps, data engineering, and cloud, working with real-time distribution grid data. Experience with Linux virtualized system deployment using VM, Hypervisor (EsXi, KVM, Xen etc.), Dockers and related tools. Experience as a system architect, team lead, industry recognized subject matter expert. Advanced experience in utilizing and applying common programming languages, such as Python, C/C++, Java, Spark and Hadoop, R Programming, Kafka, C#, MATLAB, along with good familiarity with power system modelling and data communication format. Expertise in Machine learning/Deep learning methods - LLM, NLP, Computer vision/ Image Processing. Expertise of GraphDB, SQL/NoSQL, MS Access, databases. Understanding/experience applying data analytics for Electrical Power System or industrial OT system. Understanding of GPU Experience, Spark, Scala for distributed computing. Strong root causing, trouble shooting and debugging skills using tools such as Wireshark, TCPDump and other Linux and Windows system tools. Strong communication skills and a proactive and open approach to conflict resolution. Strong organizational skills, self-motivated, and self-directed. Knowledge of modern protection and control and distribution automation developments and trends. Proven record of writing and presenting papers at industry conferences/journals. Additional Information Relocation Assistance Provided: Yes

Plan and implement age-appropriate curriculum and activities to promote social, emotional, cognitive, and physical development. Design engaging lesson plans that incorporate storytelling, art, music, and play-based learning. Foster a nurturing and inclusive classroom environment to encourage children’s curiosity and confidence. Introduce children to foundational concepts in literacy, numeracy, and basic science. Maintain a clean, safe, and organized classroom environment conducive to learning. Monitor and supervise children to ensure their safety both indoors and outdoors. Address challenging behaviors constructively, encouraging positive reinforcement and conflict resolution. Observe and document each child’s progress, strengths, and areas for improvement. Conduct informal assessments to gauge developmental milestones and tailor instruction accordingly. Engage in open communication with families to establish trust and support children’s growth at home and school. Openly Communicate with parents and caregivers about children’s development, behavior, and achievements. Work closely with other teachers, assistants, and school staff to ensure a cohesive educational approach. Participate in team meetings, training, and professional development to stay current with best practices. Prepare classroom materials and resources in advance to facilitate lessons and activities. Maintain student records and update them regularly according to school policies. Ensure compliance with health, safety, and licensing regulations specific to early childhood education. Encourage a positive, enthusiastic attitude toward learning and curiosity about the world. Job Types: Full-time, Permanent Pay: ₹8,086.00 - ₹20,000.00 per month Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Required) Language: English (Required) Location: Noida, Uttar Pradesh (Required) Work Location: In person Application Deadline: 20/11/2024

Job description:- Primarily working on Revit structural in creating 3D models and 2D drawings for general arrangement , sections, reinforcement detailing of concrete /steel buildings Candidates will Timber experience will be preferred Knowledge of Dynamo scripts Estimating modelling hours for proposals Working closely with the project team and interface with other disciplines Working level experience on BIM360/ Autodesk construction cloud/ Bluebeam Excellent communication skills Clash detection using various tools Candidate specification:- Diploma/ Bachelor's Degree in Civil / Structural Proficiency in Revit Excellent communication skills both written and verbal Some knowledge of 3D modelling (including Revit/Civils 3D) would be an advantage Agile and safe working environment Competitive annual leave and sick leaves Group incentive scheme Group term life insurance, Workmen’s compensation and Group medical insurance coverage Short and Long-term Global employment opportunities Global collaboration and knowledge sharing Digital Innovation and Transformation We Can Offer (subject To Company’s Policy) Agile and safe working environment Competitive annual leave and sick leaves Group incentive scheme Group term life insurance, Workmen’s compensation and Group medical insurance coverage Short and Long-term Global employment opportunities Global collaboration and knowledge sharing Digital Innovation and Transformation Equality, diversity and inclusion We put equality, diversity and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute. Agile working At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team and personal commitments. We embrace agility, flexibility and trust. Location(s): Bengaluru, KA, IN Contract Type: Permanent Work Pattern: Full Time Market: Buildings Discipline: Building services Job Ref: 9059 Recruiter Contact: Mamta Divekar

We are seeking a RE Wall Draughtsman/CAD to be part of our team. Job Title: RE Wall Draughtsman Department: Civil / Structural Engineering Location: Lucknow Key Responsibilities: Prepare detailed 2D drawings for RE wall systems based on engineering inputs and design calculations. Generate GA (General Arrangement) drawings, panel layout plans, cross-sections, and reinforcement details. Coordinate with structural and geotechnical engineers to incorporate design requirements. Ensure that drawings comply with relevant codes, standards, and project specifications. Use software such as AutoCAD. Qualifications: Diploma or Degree in Civil Engineering, Drafting, or a related field. 3+ years of experience in drafting civil structures, preferably RE wall. Proficiency in AutoCAD. Strong understanding of RE wall components such as panels, reinforcement strips, and backfill. Interested candidate can send their resume to hr.oyexperts@gmail.com. Job Type: Full-time Schedule: Day shift Work Location: In person

Greetings from Ripples Engineering Pvt Ltd. We have immediate openings for Civil/structural Engineer Job type: Permanent Experience: 2 Years and Above Requirement: Civil Engineer Responsibilities: General Arrangement Civil & Structural, Reinforcement details Structures such as Main Pipe Racks, Utility pipe rack, Water Proofing, Structure area, Utility equipment foundation, Utility shelter, water storage Tank, Equipment structural’ s foundation, Equipment Foundation, pump foundation, Manholes, Value box, Catch basin, Pipe sleeper, Pipe support foundation, Duct bank, Electrical trench & instrument trench, Coal Handling Conveyor Structures, & Platform Structures. Detail material take-off for all structural elements. Job Types: Full-time, Regular / Permanent Salary: ₹18000 - ₹40000 per month Schedule: Day shift Ability to commute/relocate: Delhi NCR, Reliably commute or planning to relocate before starting work (Required) Experience: total work: 2+ year (Preferred) Job Type: फ़ुल-टाइम Pay: ₹18,000.00 - ₹40,000.00 per month Benefits: आने जाने में सहायता इंटरनेट के लिए पेमेंट खाने की पेमेंट प्रॉविडेंट फ़ंड मोबाइल फ़ोन के बिलों का पेमेंट हेल्थ इंश्योरेंस Work Location: In person

AI_Solution Architect Hyderabad, Hyderabad, Telangana , India (HHTI),Chennai, Chennai, Tamil Nadu , India (TCTI) Experience Range 12 - 16 Years Role Summary: The AI Solutioning Architect leads the technical solutioning and architecture of AI-driven projects within the organization, from initial conception through to successful deployment. This role is responsible for ensuring that all AI solutions are strategically aligned with business goals, technically sound, and operationally efficient. This individual will work closely with cross-functional teams to design and implement innovative AI solutions that address complex healthcare challenges within the Healthcare IT landscape. The AI Solutioning Architect plays a critical role in defining the AI/ML strategy and ensuring its successful implementation across the organization. Essential Responsibilities: Lead the technical solutioning process for all AI-related projects, ensuring alignment with business objectives, architectural standards, and the overall AI/ML strategy. Define and maintain the architectural vision and roadmap for AI solutions, incorporating best practices, emerging technologies, and the evolving needs of the Healthcare IT domain. Design end-to-end AI solutions, including data ingestion, processing, model development, deployment, and monitoring, with a focus on scalability, reliability, and security. Work closely with business stakeholders to understand requirements and translate them into technical specifications, while also contributing to the overall strategic direction of AI initiatives. Collaborate with data scientists, engineers, and other technical experts to ensure successful project execution, providing technical guidance and mentorship throughout the development lifecycle. Develop and maintain comprehensive documentation of AI solutions, including architecture diagrams, design specifications, and implementation guidelines, to facilitate knowledge sharing and collaboration. Evaluate and recommend AI technologies, platforms, and tools to support the organization's AI initiatives, with a focus on leveraging Google Cloud Platform (GCP) services where appropriate. Provide technical guidance and mentorship to project teams, fostering a culture of innovation, excellence, and continuous improvement. Lead proof-of-concept (POC) projects to validate the feasibility and value of proposed AI solutions, ensuring that they align with the organization's strategic goals. Ensure that AI solutions are scalable, secure, and compliant with relevant regulations and standards, including HIPAA and other Healthcare IT requirements. Stay abreast of the latest trends and advancements in AI and related fields, and proactively identify opportunities for innovation and competitive advantage. Work with US and Thryve leaders to provide project status, risk assessment, and strategic recommendations, ensuring that stakeholders are informed and aligned on project goals and timelines. Effectively communicate complex technical concepts to both technical and non-technical audiences, fostering collaboration and alignment across the organization. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. 12+ years of experience in software development or architecture, with a significant focus on AI and machine learning. Deep understanding of AI/ML concepts and techniques, including supervised, unsupervised, and reinforcement learning, as well as experience with various AI algorithms and models. Hands-on experience with cloud computing platforms (e.g., AWS, Azure, GCP), with a strong preference for experience with Google Cloud Platform (GCP) and its AI-related services. Proven experience in designing and implementing scalable and robust AI solutions within the Healthcare IT domain. Strong programming skills in languages such as Python, Java, or Scala, as well as experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Excellent communication, presentation, and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences. Proven ability to lead technical discussions and influence decision-making, with a demonstrated track record of successfully driving AI initiatives within an organization. Experience in working with cross-functional teams and stakeholders, with a strong ability to collaborate and build consensus. Strong analytical and problem-solving skills, with a demonstrated ability to identify and address complex technical challenges. Knowledge of healthcare industry standards and regulations (e.g., HIPAA) is required, as well as a strong understanding of the Healthcare IT landscape. Experience with MLOps practices and tools, with a focus on automating and streamlining the AI development and deployment lifecycle. Strong leadership skills, with the ability to provide technical guidance and mentorship to project teams. Job Type: Full-time Pay: ₹3,200,000.00 - ₹3,500,000.00 per year Benefits: Health insurance Schedule: Day shift Work Location: In person

● Minimum of (3+) years of experience in AI-based application development. ● Fine-tune pre-existing models to improve performance and accuracy. ● Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI ● Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). ● Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. ● Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). ● Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. ● Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. ● Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. ● Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. ● Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. ● Proficiency in Python with the ability to get hands-on with coding at a deep level. ● Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. ● Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) ● Enthusiasm for continuous learning and professional developement in AI and leated technologies. ● Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. ● Knowledge of cloud services like AWS, Google Cloud, or Azure. ● Proficiency with version control systems, especially Git. ● Familiarity with data pre-processing techniques and pipeline development for Al model training. ● Experience with deploying models using Docker, Kubernetes ● Experience with AWS Bedrock, and Sagemaker is a plus ● Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

ABOUT US: The vision from the start has been to create a state-of-the-art infrastructure of the workplace with the implementation of all the tools for employees and clients makes Bytes Technolab a growth hacker. This has really helped the dev team in adapting to the existing & upcoming technologies & platforms to create top-notch software solutions for businesses, startups, and enterprises. Our core value lies with 100% integrity in communication, workflow, methodology, and flexible collaboration. With the client-first approach, we are offering flexible models of engagement that can help our clients in the best way possible. Bytes Technolab is confident that this approach would help us develop user-centric, applicable, advanced, secure, and scalable software solutions. Our team is fully committed to adding value at every stage of your journey with us, from initial engagement to delivery and beyond. Role Description: 3+ years of professional experience in Machine Learning and Artificial Intelligence. Strong proficiency in Python programming and its libraries for ML and AI (NumPy, Pandas, scikit-learn, etc.). Hands-on experience with ML/AI frameworks like PyTorch, TensorFlow, Keras, Facenet, OpenCV, and other relevant libraries. Proven ability to work with GPU acceleration for deep learning model development and optimization (using CUDA, cuDNN). Strong understanding of neural networks, computer vision, and other AI technologies. Solid experience working with Large Language Models (LLMs) such as GPT, BERT, LLaMA, including fine-tuning, prompt engineering, and embedding-based retrieval (RAG). Working knowledge of Agentic Architectures, including designing and implementing LLM-powered agents with planning, memory, and tool-use capabilities. Familiar with frameworks like LangChain, AutoGPT, BabyAGI, and custom agent orchestration pipelines. Solid problem-solving skills and the ability to translate business requirements into ML/AI/LLM solutions. Experience in deploying ML/AI models on cloud platforms (AWS SageMaker, Azure ML, Google AI Platform). Proficiency in building and managing ETL pipelines, data preprocessing, and feature engineering. Experience with MLOps tools and frameworks such as MLflow, Kubeflow, or TensorFlow Extended (TFX). Expertise in optimizing ML/AI models for performance and scalability across diverse hardware architectures. Experience with Natural Language Processing (NLP) and foundational knowledge of Reinforcement Learning. Familiarity with data versioning tools like DVC or Delta Lake. Skilled in containerization and orchestration tools such as Docker and Kubernetes for scalable deployments. Proficient in model evaluation, A/B testing, and establishing continuous training pipelines. Experience working in Agile/Scrum environments with cross-functional teams. Strong understanding of ethical AI principles, model fairness, and bias mitigation techniques. Familiarity with CI/CD pipelines for machine learning workflows. Ability to effectively communicate complex ML, AI, and LLM/Agentic concepts to both technical and non-technical stakeholders. We are hiring professionals with 3+ years of experience in IT Services. Kindly share your updated CV at freny.darji@bytestechnolab.com

Company Description RiDh Engineering is a one-stop quality solution provider for Rebar detailing and BIM services, with a growing client base worldwide. We specialize in delivering quality, accurate, and reliable standard reinforcement detailing within scheduled time frames for projects. Our core competence in structural engineering disciplines allows us to offer cost-effective solutions for detailed engineering requirements. Role Description This is a full-time on-site role for a Rebar Detailer - US Standard at RiDh Engineering located in Chennai. The Rebar Detailer will be responsible for creating shop drawings, steel detailing, and working on rebar based on architectural drawings and steel structures. Qualifications Shop Drawings and Detailing skills Experience in working with Rebar, Architectural Drawings, and Steel Structures Proficiency in AutoCAD, Revit, or other relevant software Attention to detail and ability to work under pressure Strong communication and collaboration skills Bachelor's degree in Civil Engineering or related field

Job Description: We are seeking a skilled and experienced CSA Designer with hands-on expertise in E3D software to support our engineering team in delivering high-quality designs for oil & gas projects. Key Responsibilities: Develop 3D models and 2D drawings for civil, structural, and architectural works using E3D and CAD tools . Prepare GA drawings , reinforcement drawings , foundation layouts , steel structure detailing , and architectural layouts . Interpret technical specifications, design criteria, and construction drawings for project requirements. Coordinate with piping, mechanical, and electrical teams to ensure clash-free and constructible design outputs. Ensure designs meet industry standards, client specifications, and project deadlines. Review and incorporate design changes, redlines, and site feedback. Maintain model accuracy and discipline deliverables. Requirements: Diploma or Bachelor's degree in Civil Engineering or a related field. Minimum 5 years of experience in CSA design within the oil & gas/EPC industry . Proficient in AVEVA E3D , AutoCAD (or similar CAD platforms). Strong understanding of civil & structural design principles. Experience with steel and concrete structure detailing. Excellent team coordination and communication skills. Knowledge of international codes and standards is an added advantage.

Job Title: RCC General Manager – Construction Location: Santacruz, Mumbai Employment Type: Full-time Key Responsibilities: Lead and manage all RCC (Reinforced Cement Concrete) construction activities across multiple project sites simultaneously. Plan, coordinate, and supervise RCC works to ensure quality, safety, and timely completion as per project schedules. Review structural drawings, specifications, and BOQs; ensure accurate execution on site. Manage and coordinate with contractors, consultants, engineers, and site teams. Conduct site inspections, resolve technical issues, and implement corrective measures. Monitor resource planning, material procurement, and cost control related to RCC works. Ensure compliance with industry standards, regulatory norms, and safety protocols. Provide leadership to RCC teams across all sites, ensuring smooth coordination with other project departments. Prepare and present consolidated progress reports to senior management across all locations. Required Qualifications / Skills: Graduate in Civil Engineering with NICMAR certification or Post-graduation in Project Management . Minimum 10 years of experience in RCC construction , including handling multiple sites . In-depth understanding of RCC detailing, shuttering, reinforcement, concreting, and quality control. Proven leadership skills with the ability to manage large site teams and complex high-rise or infrastructure projects. Excellent problem-solving, communication, and decision-making abilities. Proficiency in MS Project/Primavera and construction management tools is an added advantage. Job Types: Full-time, Permanent Pay: ₹1,500,000.00 - ₹2,100,000.00 per year Schedule: Day shift Fixed shift Morning shift Application Question(s): What is your current Salary?? What is your Expected Salary?? Education: Master's (Preferred) Experience: RCC Construction management: 10 years (Preferred) License/Certification: NICMAR (Preferred) Location: Santacruz West, Mumbai, Maharashtra (Preferred) Work Location: In person

Kāli is building a true luxury house from India. We work with leather, brass, and cultural symbolism to create heirloom-quality objects. Our silhouettes are sculptural, our details are precise, and our craft is rooted in India’s 5,000-year heritage. This is a design-first house, and we’re looking for a designer who works at the intersection of geometry, material, and meaning. Explore us: www.kaliindia.com Your Role You’ll lead design execution from sketch to sample, collaborating with artisans and vendors to bring every line and detail to life. You’ll also help define and implement production processes and QC standards across materials and vendors. Responsibilities include: Design handbags and accessories using leather, metal, and mixed materials Create tech packs, CADs, BOMs, and costing sheets Specify stitch-per-inch, thread types, reinforcements, and edge treatments Develop cutting dies and wooden moulds for structured silhouettes Select leathers, linings, hardware, and internal materials Oversee prototyping, material testing, and finishing corrections Build and document QC parameters for leather, structure, and finishing Work closely with vendors on-site in Kolkata and other cities Conduct inspections for stitch quality, edge paint, alignment, and reinforcement Track all versions, changes, and costing in Excel and design decks Who You Are Based in Kolkata, with 5 to 10 years of leather accessory design experience Expert in material properties: skiving, finishing, structure, hardware Skilled in stitch detailing, thread selection, and reinforcement techniques Experienced with cutting dies, wooden moulds, and structured bag making Proficient in Adobe Illustrator, CAD tools, CorelDRAW (preferred), and Excel Organised, numbers-literate, and able to implement structured design and QC systems Curious about Indian crafts, sacred geometry, symbolism, and design as a cultural lens Comfortable working hands-on with artisans and suppliers on the floor Aware of global luxury construction standards and finishing quality Why Join Kāli Define the design DNA of a new global luxury house Build iconic products rooted in India, designed for the world Own the journey: from sketch to product to store Work directly with the founder and global creative partners Shape quality processes that will scale with the brand See your work in Paris, NYC, Monaco, and beyond

As a Generative AI Engineer, you will be responsible for designing, developing, and deploying generative AI models to solve complex business problems. You will work closely with data scientists, software engineers, and domain experts to build AI-driven applications that leverage LLMs, diffusion models, and other state-of-the-art generative AI techniques. Key Responsibilities Research, design, and develop generative AI models, including Large Language Models (LLMs), GANs, VAEs, and diffusion models. Fine-tune and optimize pre-trained models to meet business requirements. Collaborate with cross-functional teams to integrate AI models into production-ready applications. Develop scalable and efficient pipelines for data preprocessing, model training, and inference. Stay updated with the latest advancements in AI/ML and contribute to research initiatives. Ensure AI solutions are explainable, ethical, and comply with regulatory standards. Optimize model performance in terms of accuracy, latency, and cost-effectiveness. Implement and maintain MLOps best practices for continuous deployment and monitoring. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 3+ years of experience in AI/ML development, with at least 1+ year of hands-on experience in generative AI. Strong proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Exposure working with transformer-based architectures like GPT, BERT, and diffusion models. Solid understanding of deep learning, NLP, and computer vision techniques. Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with model deployment, APIs, and MLOps tools for CI/CD automation. Strong problem-solving skills and ability to work in an agile, collaborative environment. Preferred Qualifications Experience in fine-tuning and deploying LLMs such as GPT-4, LLaMA, or PaLM. Hands-on experience with reinforcement learning and prompt engineering. Understanding of Responsible AI principles and bias mitigation techniques.

Job Description Position: AI Architect -PERMANENT Only Experience: 9+ years (Relevant 8 years is a must) Notice Period: Immediate to 45 days Key Skills: Python, Data Science (AI/ML), SQL Location- TVM/Kochi/Hybrid Job Purpose Responsible for consulting for the client to understand their AI/ML, analytics needs & delivering AI/ML applications to the client. Job Description / Duties & Responsibilities ▪ Work closely with internal BU’s and business partners (clients) to understand their business problems and translate them into data science problems ▪ Design intelligent data science solutions that delivers incremental value the end stakeholders ▪ Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models ▪ Develop the designed solutions into statistical machine learning models, AI models using suitable tools and frameworks ▪ Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible. ▪ Work closely with application team to deliver AI/ML solutions as microservices Job Specification / Skills and Competencies ▪ Masters/Bachelor’s in Computer Science or Statistics or Economics ▪ At least 6 years of experience working in Data Science field and is passionate about numbers, quantitative problems ▪ Deep understanding of Machine Learning models and algorithms ▪ Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same ▪ Understanding of and experience in one or more of the following Machine Learning algorithms:-Regression , Time Series ▪ Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means Clustering etc. ▪ NLP, Text Mining, LLM (GPTs) ▪ Deep Learning, Reinforcement learning algorithm ▪ Understanding of and experience in one or more of the machine learning frameworks -TensorFlow, Caffe, Torch etc. ▪ Understanding of and experience of building machine learning models using various packages in one or more of the programming languages– Python / R ▪ Knowledge & Experience on SQL, Relational Databases, No SQL Databases and Datawarehouse concepts ▪ Understanding of AWS/Azure Cloud architecture ▪ Understanding on the deployment architectures of AI/ML models (Flask, Azure function, AWS lambda) ▪ Knowledge on any BI and visualization tools is add-on (Tableau/PowerBI/Qlik/Plotly etc). ▪To adhere to the Information Security Management policies and procedures. Soft Skills Required ▪ Must be a good team player with good communication skills ▪ Must have good presentation skills ▪ Must be a pro-active problem solver and a leader by self ▪ Manage & nurture a team of data scientists ▪ Desire for numbers and patterns

Job Role: AI Engineer (WFO - Chennai) Experience: 3years Job Type: Full Time, Permanent Job Location: Chennai (5days - work from office) Notice Period: Immediate to 15days We are looking for a passionate AI Engineer with 1–3 years of hands-on experience in developing and deploying AI/ML models. You will contribute to designing scalable AI systems, training models, and supporting real-world deployment for autonomous vehicles and other AI-centric applications. If you're enthusiastic about applying your AI skills in impactful projects, join our innovative team. Roles & Responsibilities: Build and optimize AI/ML models for real-time autonomous driving systems. Work closely with senior architects and product teams to translate business problems into AI solutions. Implement and test deep learning models (e.g., CNNs, transformers) for tasks such as object detection, lane recognition, or natural language understanding. Integrate AI models into production environments and contribute to continuous model improvement. Collaborate with MLOps teams to ensure reliable deployment through CI/CD pipelines. Write clean, well-documented, and efficient code. Stay up-to-date with the latest research and best practices in AI and Machine Learning. Requirements: Required Technical and Professional Expertis e 1–3 years of experience in AI/ML development and deployment. Proficiency in Python and common ML frameworks (TensorFlow, PyTorch). Experience with data preprocessing, model training, evaluation, and optimization. Solid foundation in machine learning and deep learning algorithms. Experience working with APIs, model versioning, and deployment workflows. Familiarity with computer vision, NLP, or reinforcement learning. Hands-on experience with Docker, Git, and cloud services (AWS, GCP, or Azure). Strong problem-solving and analytical skills. Good communication skills and ability to work in a collaborative environment. Preferred Skills: Experience with real-time inference and edge deployment. Familiarity with autonomous systems or robotics applications. Exposure to LLMs (e.g., GPT, BERT) or multimodal AI models. Experience with RESTful APIs, microservices, and distributed systems. Educational Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Benefits Innovative Projects: Work on cutting-edge AI technologies shaping the future of mobility. Collaborative Culture: Join a passionate team pushing boundaries in AI and autonomy. Career Growth: Be part of a fast-growing startup with plenty of growth opportunities. Benefits: Competitive salary, health insurance (up to ₹20 lakhs), wellness programs, learning & development, mentorship, and performance-based increments.

Job Title: Structural Design Locations: Mumbai/Gurgaon Industry: Real Estate Employment Type: Full-time Experience Level: senior level Preference Industry: Real estate and design firm Job Summary: · In-house peer review of structural engineering deliverables from consultants - design basis reports, analysis models, design calculations, reinforcement detailing and sample GFC drawings. Literature survey/study on structural analysis & design advancements, national and international codes/standards, current global trends, new technology etc. In-house work on organizational level initiatives such as standardization, cost optimization, reduction of construction time etc. Exposure to BIM implementation Important Key Skills to Highlight: ESSENTIAL DUTIES AND RESPONSIBILITIES: Responsibility Area Key Activities · Structural design · Developing expertise in static & dynamic analysis, design and detailing of various structural elements – isolated/combined footings, raft, pile, pile-raft, columns, shear walls, slabs, beams, retaining walls etc. · Study of design aspects and relative advantages of RCC, structural steel and composite construction Understanding of structural engineering analysis and design fundamentals Ability to apply the understanding in real life projects effectively Development work · Comparison of different structural systems like framed structure, shear wall, flat slab, flat plate, waffle slab and arriving at cost effective · Urge to learn new things and ability to analyse the data Responsibility Area Key Activities Indicative Performance Measures alternative · Comparison of different form work systems like Mivan, tunnel form etc., and precast technology, on the layout, repetition and material consumption gathered through study Process adherence · Compliance with company defined guidelines and processes · Adherence to project timelines · Process compliance Process improvement · Identification of processes/procedures in own work area that need improvement · Recommendation of process improvement ideas to streamline efficiency/costs/productivity · Implementation of process improvement activities in own work area · Initiatives taken · Impact of process improvement idea Experience Post Graduate with 12+ years relevant work experience Prior experience in Real Estate (Residential Projects) Hands-on experience of software such as ETABS, SAFE, STAAD etc. Knowledge of value engineering in design of structures at various design stages Job Assigned To: Recruiter: Anshika Email: anshika@dreamjobs.in

Hi connections!! we are hiring for ML Engineer Senior Machine Learning Engineer Platform Team • 5+ years • Full-Time • Bangalore --- Role Overview We are seeking a Senior Machine Learning Engineer with strong expertise in Python, EDA, ML model development, and hands-on experience in LLMOps using frameworks like LangChain and LangGraph. You will be instrumental in building and operationalizing scalable ML solutions on our AI-driven platform. Location Bangalore (preferred) | Hybrid options may be considered. Experience 5+ years in Machine Learning, Data Science, or related fields. Key Responsibilities  Design and develop ML models using supervised and unsupervised learning techniques for real-world business applications.  Build, deploy, and manage end-to-end ML pipelines.  Create robust data processing pipelines and APIs (preferably using FastAPI).  Manage deployment and monitoring of ML/DL models, ensuring model reproducibility, concept/data drift monitoring, and versioning of code, model, and data.  Handle data wrangling and feature engineering for both text and image datasets using libraries like Pandas, NumPy, OpenCV, PIL, Spacy, and Hugging Face Transformers.  Utilize ML frameworks such as Scikit-learn, PyTorch, TensorFlow, or Keras.  Work with LLMOps frameworks like LangChain, LangGraph, or similar to operationalize large language models (LLMs).  Implement prompt engineering and fine-tuning techniques for LLMs, including using APIs such as OpenAI, Mistral, Nova.  Collaborate closely with DevOps to integrate ML workflows with CI/CD pipelines, Docker, Kubernetes, and cloud platforms like AWS or GCP or Azure.  Contribute to scaling and maintaining ML systems leveraging MLflow, GitHub Actions, and monitoring stacks like ELK. Preferred Skills  Deep understanding of cloud-native ML practices and MLOps tools.  Strong programming and statistical analysis skills.  Hands-on experience with deep learning models and computer vision tasks.  Strong verbal and written communication skills.  Highly developed attention to detail and structured problem-solving abilities.  Ability to thrive in collaborative team environments.  Strong presentation skills to articulate technical solutions to non-technical stakeholders. Good to Have  Exposure to other LLM ecosystems (e.g., HuggingFace, Open Source LLMs).  Contributions to open-source ML/LLM frameworks.  Knowledge of advanced topics like Reinforcement Learning, GANs, or Diffusion Models. If you are interested kindly revert on supriya.kataram@codersbrain.com #MachineLearning hashtag #MLJobs hashtag #LLMOps hashtag #LangChain hashtag #LangGraph hashtag #DataScience hashtag #AIJobs hashtag #SeniorMLEngineer hashtag #PythonDevelopers hashtag #FastAPI hashtag #MLOps hashtag #DeepLearning hashtag #NLP hashtag #OpenAI hashtag #HuggingFace hashtag #BangaloreJobs hashtag #NowHiring hashtag #TechCareers hashtag #JoinOurTeam

• A Bachelor’s Degree and relevant work experience of 3+ years. • Excellent level of English and Spanish, C1 level or above. • Candidate must demonstrate ability to analyze and interpret complex SOPs. • Excellent problem-solving skills with a proactive approach to identifying and implementing process improvements. • Strong communication and interpersonal skills to effectively guide and mentor associates. • Ability to work collaboratively with cross-functional teams. • Thoroughly understand multiple SOPs and ensure adherence to established processes. • Identify areas for process improvement and SOP enhancement, and develop actionable plans for implementation. • Lead and participate in process improvement initiatives. • Comfortable working in a fast paced, highly collaborative, dynamic work environment · Willingness to support several projects at one time, and to accept re-prioritization as necessary. • Adaptive to change and able to work in a fast-paced environment. At 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 cuttingedge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities The candidate actively seeks to understand Amazon’s core business values and initiatives, and translates those into everyday practices. Some of the key result areas include, but not limited to: • Experience in managing process and operational escalations • Driving appropriate data oriented analysis, adoption of technology solutions and process improvement projects to achieve operational and business goal • Managing stakeholder communication across multiple lines of business on operational milestones, process changes and escalations • Communicate and take the lead role in identifying gaps in process areas and work with all stakeholders to resolve the gaps • Be a SME for the process and a referral point for peers and junior team members • Has the ability to drive business/operational metrics through quantitative decision making, and adoption of different tools and resources • Ability to meet deadlines in a fast paced work environment driven by complex software systems and processes • Ability to perform deep dive in the process and come up with process improvement solutions • Shall collaborate effectively with other teams and subject matter experts (SMEs), Language Engineers (LaEs) to support launches of new process and services Experience with Artificial Intelligence interaction, such as prompt generation. 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.

• A Bachelor’s Degree and relevant work experience of 3+ years. • Excellent level of English and French, C1 or above level. • Candidate must demonstrate ability to analyze and interpret complex SOPs. • Excellent problem-solving skills with a proactive approach to identifying and implementing process improvements. • Strong communication and interpersonal skills to effectively guide and mentor associates. • Ability to work collaboratively with cross-functional teams. • Thoroughly understand multiple SOPs and ensure adherence to established processes. • Identify areas for process improvement and SOP enhancement, and develop actionable plans for implementation. • Lead and participate in process improvement initiatives. • Comfortable working in a fast paced, highly collaborative, dynamic work environment · Willingness to support several projects at one time, and to accept re-prioritization as necessary. • Adaptive to change and able to work in a fast-paced environment. At 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 cuttingedge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities The candidate actively seeks to understand Amazon’s core business values and initiatives, and translates those into everyday practices. Some of the key result areas include, but not limited to: • Experience in managing process and operational escalations • Driving appropriate data oriented analysis, adoption of technology solutions and process improvement projects to achieve operational and business goal • Managing stakeholder communication across multiple lines of business on operational milestones, process changes and escalations • Communicate and take the lead role in identifying gaps in process areas and work with all stakeholders to resolve the gaps • Be a SME for the process and a referral point for peers and junior team members • Has the ability to drive business/operational metrics through quantitative decision making, and adoption of different tools and resources • Ability to meet deadlines in a fast paced work environment driven by complex software systems and processes • Ability to perform deep dive in the process and come up with process improvement solutions • Shall collaborate effectively with other teams and subject matter experts (SMEs), Language Engineers (LaEs) to support launches of new process and services Experience with Artificial Intelligence interaction, such as prompt generation. 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.

• A Bachelor’s Degree and relevant work experience of 3+ years. • Excellent level of English and Italian, C1 level or above. • Candidate must demonstrate ability to analyze and interpret complex SOPs. • Excellent problem-solving skills with a proactive approach to identifying and implementing process improvements. • Strong communication and interpersonal skills to effectively guide and mentor associates. • Ability to work collaboratively with cross-functional teams. • Thoroughly understand multiple SOPs and ensure adherence to established processes. • Identify areas for process improvement and SOP enhancement, and develop actionable plans for implementation. • Lead and participate in process improvement initiatives. • Comfortable working in a fast paced, highly collaborative, dynamic work environment · Willingness to support several projects at one time, and to accept re-prioritization as necessary. • Adaptive to change and able to work in a fast-paced environment. At 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 cuttingedge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities The candidate actively seeks to understand Amazon’s core business values and initiatives, and translates those into everyday practices. Some of the key result areas include, but not limited to: • Experience in managing process and operational escalations • Driving appropriate data oriented analysis, adoption of technology solutions and process improvement projects to achieve operational and business goal • Managing stakeholder communication across multiple lines of business on operational milestones, process changes and escalations • Communicate and take the lead role in identifying gaps in process areas and work with all stakeholders to resolve the gaps • Be a SME for the process and a referral point for peers and junior team members • Has the ability to drive business/operational metrics through quantitative decision making, and adoption of different tools and resources • Ability to meet deadlines in a fast paced work environment driven by complex software systems and processes • Ability to perform deep dive in the process and come up with process improvement solutions • Shall collaborate effectively with other teams and subject matter experts (SMEs), Language Engineers (LaEs) to support launches of new process and services Experience with Artificial Intelligence interaction, such as prompt generation. 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.

- A Bachelor’s Degree and relevant work experience of 3+ years. - Candidate must demonstrate language proficiency in French language - verbal, writing, reading and comprehension. Required language level: C1 or above. - Candidate must demonstrate ability to analyze and interpret complex SOPs. - Excellent problem-solving skills with a proactive approach to identifying and implementing process improvements. - Strong communication and interpersonal skills to effectively guide and mentor associates. - Ability to work collaboratively with cross-functional teams. - Thoroughly understand multiple SOPs and ensure adherence to established processes. - Identify areas for process improvement and SOP enhancement, and develop actionable plans for implementation. - Lead and participate in process improvement initiatives. - Comfortable working in a fast paced, highly collaborative, dynamic work environment · Willingness to support several projects at one time, and to accept re-prioritization as necessary. - Adaptive to change and able to work in a fast-paced environment. 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 cuttingedge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities The candidate actively seeks to understand Amazon’s core business values and initiatives, and translates those into everyday practices. Some of the key result areas include, but not limited to: * Experience in managing process and operational escalations * Driving appropriate data oriented analysis, adoption of technology solutions and process improvement projects to achieve operational and business goal * Managing stakeholder communication across multiple lines of business on operational milestones, process changes and escalations * Communicate and take the lead role in identifying gaps in process areas and work with all stakeholders to resolve the gaps * Be a SME for the process and a referral point for peers and junior team members * Has the ability to drive business/operational metrics through quantitative decision making, and adoption of different tools and resources * Ability to meet deadlines in a fast paced work environment driven by complex software systems and processes * Ability to perform deep dive in the process and come up with process improvement solutions * Shall collaborate effectively with other teams and subject matter experts (SMEs), Language Engineers (LaEs) to support launches of new process and services About the team 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 cuttingedge 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. Experience with Artificial Intelligence interaction, such as prompt generation and open AI's. 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 Description 💰 Compensation Note: The budget for this role is fixed at INR 50–55 lakhs per annum (non-negotiable). Please ensure this aligns with your expectations before applying. 📍 Work Setup: This is a hybrid role , requiring 3 days per week onsite at the office in Hyderabad, India . 📝 Interview Process: The process consists of 6 stages , including a technical assessment, code review, code discussion , and panel interviews . Company Description: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. Job Description : We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making. The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities: Conversational AI & Call Transcription Development Develop and fine-tune automatic speech recognition (ASR) models Implement language model fine-tuning for industry-specific language. Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. NLP & Generative AI Applications Build summarization models to extract key insights from conversations. Implement Named Entity Recognition (NER) to identify key topics. Apply LLMs for conversation analytics and context-aware recommendations. Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. Sentiment Analysis & Decision Support Develop sentiment and intent classification models. Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. AI Deployment & Scalability Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. Implement MLOps workflows to continuously improve model performance with new call data. Qualifications: Technical Skills Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI. Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text. Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers. Experience with LLM fine-tuning, RAG-based architectures, and LangChain. Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval. Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask. Soft Skills Ability to translate AI insights into business impact. Strong problem-solving skills and ability to work in a fast-paced AI-first environment. Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders. Preferred Qualifications Experience in healthcare, pharma, or life sciences NLP use cases. Background in knowledge graphs, prompt engineering, and multimodal AI. Experience with Reinforcement Learning (RLHF) for improving conversation models.