2079 Reinforcement Jobs - Page 18

Site Supervisor proficient in earthworks, granite stonework, RCC work, on-site management, strong measuring capabilities, accurate BOQ & bill calculation, efficient material handling & stringent IS compliance for Quality assurance. Perks and benefits Accommodation and Food will be provided.

Company Description Diagrid Consultants is a structural design firm based in Ahmedabad, specializing in RCC design and detailing services that comply with IS codes and align with architectural intent and modern building demands. Our core services include high-rise framing, reinforcement drawings, foundation design, and water-retaining structures, among others. We are known for our collaborative approach, clarity in designs, and fast problem-solving skills, making us the preferred structural partner for architects across Gujarat, Maharashtra, Rajasthan, and beyond. Role Description This is a full-time on-site role for a Senior Structural Engineer located in Ahmedabad. The Senior Structural Engineer will be responsible for conducting structural analysis, preparing structural designs, performing detailed calculations, and collaborating with architects to ensure the structural integrity and aesthetic alignment of projects. The role involves using computer-aided design (CAD) software for the creation of comprehensive construction drawings and ensuring seamless project execution from concept to completion. Qualifications Expertise in Structural Engineering, Structural Analysis, and Civil Engineering Proficiency in performing detailed Calculations and Structural Designs Experience with Computer-Aided Design (CAD) software Strong problem-solving skills and the ability to work collaboratively with architects and construction teams Excellent communication and project management skills Bachelor's degree in Civil Engineering, Structural Engineering, or a related field Professional engineering license and relevant work experience are a plus

Job Purpose Manage Electro-mechanical and Fire & Safety operations to ensure the quality and deliverables in a timely and cost effective manner at all office locations of Bangalore; Role would be responsible to build, deploy, and scale machine learning and AI solutions across GMR’s verticals. This role will build and manage advanced analytics initiatives, predictive engines, and GenAI applications — with a focus on business outcomes, model performance, and intelligent automation. Reporting to the Head of Automation & AI, you will operate in a high-velocity, product-oriented environment with direct visibility of impact across airports, energy, infrastructure and enterprise functions ORGANISATION CHART Key Accountabilities Accountabilities Key Performance Indicators AI & ML Development Build and deploy models using supervised, unsupervised, and reinforcement learning techniques for use cases such as forecasting, predictive scenarios, dynamic pricing & recommendation engines, and anomaly detection, with exposure to broad enterprise functions and business Lead development of models, NLP classifiers, and GenAI-enhanced prediction engines. Design and integrate LLM-based features such as prompt pipelines, fine-tuned models, and inference architecture using Gemini, Azure OpenAI, LLama etc. Program Plan Vs Actuals End-to-End Solutioning Translate business problems into robust data science pipelines with emphasis on accuracy, explainability, and scalability. Own the full ML lifecycle — from data ingestion and feature engineering to model training, evaluation, deployment, retraining, and drift management. Program Plan Vs Actuals Cloud , ML & data Engineering Deploy production-grade models using AWS, GCP, or Azure AI platforms and orchestrate workflows using tools like Step Functions, SageMaker, Lambda, and API Gateway. Build and optimise ETL/ELT pipelines, ensuring smooth integration with BI tools (Power BI, QlikSense or similar) and business systems. Data compression and familiarity with cloud finops will be an advantage, have used some tools like kafka, apache airflow or similar 100% compliance to processes KEY ACCOUNTABILITIES - Additional Details EXTERNAL INTERACTIONS Consulting and Management Services provider IT Service Providers / Analyst Firms Vendors INTERNAL INTERACTIONS GCFO and Finance Council, Procurement council, IT council, HR Council (GHROC) GCMO/ BCMO FINANCIAL DIMENSIONS Other Dimensions EDUCATION QUALIFICATIONS Engineering Relevant Experience 5 - 8years of hands-on experience in machine learning, AI engineering, or data science, including deploying models at scale. Strong programming and modelling skills in some like Python, SQL, and ML frameworks like scikit-learn, TensorFlow, XGBoost, PyTorch. Demonstrated ability to build models using supervised, unsupervised, and reinforcement learning techniques to solve complex business problems. Technical & Platform Skills Proven experience with cloud-native ML tools: AWS SageMaker, Azure ML Studio, Google AI Platform. Familiarity with DevOps and orchestration tools: Docker, Git, Step Functions, Lambda,Google AI or similar Comfort working with BI/reporting layers, testing, and model performance dashboards. Mathematics and Statistics Linear algebra, Bayesian method, information theory, statistical inference, clustering, regression etc Collaborate with Generative AI and RPA teams to develop intelligent workflows Participate in rapid prototyping, technical reviews, and internal capability building NLP and Computer Vision Knowledge of Hugging Face Transformers, Spacy or similar NLP tools YoLO, Open CV or similar for Computer vision. COMPETENCIES Personal Effectiveness Social Awareness Entrepreneurship Problem Solving & Analytical Thinking Planning & Decision Making Capability Building Strategic Orientation Stakeholder Focus Networking Execution & Results Teamwork & Interpersonal influence

Staff Backend Engineer – Core AI Platform Location: India (Remote) Function: Engineering – AI Platform Level: Staff Reports to: VP of Engineering / CTO About the Company We’re hiring a Staff Engineer – AI Frameworks to architect and lead the development of the foundational multi-agent infrastructure powering the next generation of intelligent systems for financial institutions. This role is not about plugging in pre-built models—it’s about designing and scaling custom AI orchestration frameworks that bind language models, memory, judgment modules, and tool use into autonomous systems that are trustworthy, composable, and policy-aligned. You’ll work at the intersection of machine learning, distributed systems, and agentic reasoning, partnering with researchers, backend engineers, and product leaders to bring real-time, LLM-driven intelligence into production at scale. This is a rare opportunity to define and build the AI runtime and execution architecture for mission-critical agents in a high-regulation, high-trust industry. About the Role We’re hiring a Staff Engineer – AI Frameworks to architect and lead the development of the foundational multi-agent infrastructure powering the next generation of intelligent systems for financial institutions. Responsibilities Architect a multi-agent AI framework for orchestrating LLMs, tools, memory, and decision modules in live user-facing systems Build and optimize low-latency, distributed inference systems that meet real-time SLAs for transactional environments Develop modular components for task planning, reward routing, fallback handling, and multi-turn reasoning Design developer-facing APIs and tooling to allow AI product teams to safely extend and compose agentic functionality Integrate vector stores, custom retrieval pipelines, model evaluators, judgment layers, and auto-tuning workflows Drive the implementation of prompt tuning, reward modeling, and LLM-as-a-Judge techniques in production loops Collaborate with research to productionize new RL, planning, or alignment strategies Establish architectural best practices for extensibility, observability, and trust in AI-enabled systems Qualifications 8+ years of backend or platform engineering experience, with at least 2 years building or deploying AI/ML systems Deep experience with Node.js, asynchronous architecture, and performance-critical backend systems Prior hands-on experience building ML models or training pipelines —you know how models learn, behave, and break Expert knowledge of LLM system design, agent architectures, and Reinforcement Learning techniques Proven track record building distributed, event-driven systems in high-throughput environments Experience building real-time inference systems that integrate LLMs with retrieval, memory, or tool use Strong systems design skills: designing modular, fault-tolerant, observable software at scale Demonstrated ability to lead architectural design and cross-functional engineering initiatives Preferred Skills Experience building multi-agent systems or intelligent orchestration engines Familiarity with vector databases, semantic search, and prompt engineering techniques Comfort integrating ML eval frameworks and offline/online experimentation pipelines Open-source contributions to LLM tooling or infrastructure a plus

TCS is Hiring for Civil Engineer Location- Delhi, Noida, Bangalore, Hyderabad Experience- 4 to 10 Years Job Description- Detailed knowledge of Civil & structure Engineering for Telecom Network Infrastructure Detailed knowledge and experience with the following technologies and tools: AutoCAD, MapInfo MS Visio. Civil drafting tools Project Management Tools Local Municipality Portal and reports Support Civil Sr.Engineer to complete civil engineering project scope activity Manage all civil project related deliverables to meet Project and Business objectives as well as In-Service Targets. Review and validate Legal Survey documents Validate Civil Preliminary drawing, site layout drawings (initial Civil Drawings) Support in processing Public Consultation/ Municipal Approval/ NAV Canada Approval, Transport Canada Approval for Site acquisition process Manage Civil Site Work Order (CWO) for main site and tie site (if MW transmission is used). Complete foundation design based on tower design Request a Structural Tower Assessment from Engineer of Record (EOR) for Tower and Rooftop sites (if required) to understand the load capacity of supporting structure Able to prepare & review construction Drawing (towers and rooftops) which includes all structural, electrical, elevation drawing as required. Civil reinforcement Drawings awareness Prepare Civil Material BOM loaded into ADM Manage As-build Construction Drawings - ADM (FieldVizion) Checklist Post Construction Inspection report (PCI) - ADM (FieldVizion) Checklist Establish and maintain communication channels with team members, senior management, equipment vendors, Telcos and third-party operators to ensure project success. Review contractor’s construction reports and civil acceptance reports. Able to review and prepare Electrical Plan including Infra related parameters Responsible as Construction Specialist for special projects (but not limited to, In Building, Complex reinforcement of tower foundation, Site to relocate, MW project) If Interested kindly share your cv to aarti.tadkase@tcs.com Regards, Aarti

Job Title: AI Engineer Location: Chennai, India Employment Type: Full-Time Reports To: CMD ( later to the CTO) Job Overview As our AI/ML Engineer, you will be responsible for designing and prototyping the core machine learning architectures that drive our solution. You will collaborate directly with the founder to brainstorm, evaluate, and select the best approaches for computer vision, sensor fusion, and reinforcement learning applications in cricket and badminton. Given that this is a new domain, candidates with experience in adjacent areas (such as robotics, autonomous systems, sports analytics, surveillance, or IoT) are encouraged to apply. We value innovative problem solvers who can adapt their skills to meet our unique challenges. Key Responsibilities Architecture & Design: Propose and evaluate multiple AI/ML architectures suitable for real-time officiating tasks (object detection, event detection, trajectory prediction, and sensor fusion). Collaborate with the founder to select and iterate on the optimal architecture for our use case. Algorithm Development: Develop computer vision algorithms to detect and track critical objects (e.g., sports balls, players, court lines). Design and implement reinforcement learning (RL) models for dynamic PTZ camera control (tracking, panning, and zooming) to ensure the best camera viewpoints. Build predictive models for real-time decision-making (e.g., anticipating ball trajectories for no-ball calls, scoring events). Sensor Fusion: Integrate data from video feeds with auxiliary sensors (audio, IR, radar, etc.) to improve the accuracy and reliability of event detection. Optimize models for low-latency performance on edge devices. Prototyping & Testing: Rapidly prototype and validate AI/ML modules using real or simulated data. Work closely with the full-stack developer to integrate AI components into the broader software system. Documentation & Research: Document architecture decisions, model designs, and implementation details. Stay updated on recent research and advancements in computer vision, machine learning, and reinforcement learning, and apply relevant innovations to enhance the product. Collaboration: Participate in brainstorming sessions and technical reviews with the product management and development teams. Provide insights on potential improvements and scalability for the system as we expand from a prototype to a full-scale commercial product. Qualifications & Skill Sets Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related discipline with a focus on machine learning, computer vision, robotics, or data science. Technical Skills: Programming Languages: Proficiency in Python and familiarity with C++. Deep Learning Frameworks: Experience with TensorFlow, PyTorch, or similar frameworks. Computer Vision: Hands-on experience with OpenCV, YOLO, or other object detection and tracking libraries; strong knowledge of convolutional neural networks (CNNs). Reinforcement Learning: Understanding of RL concepts and experience with frameworks such as Open AI Gym or similar; ability to prototype RL solutions for real-time control. Sensor Fusion: Familiarity with techniques to integrate and process multi-modal data (video, audio, IR, radar, etc.). Optimization for Real-Time Systems: Experience in tuning models and algorithms for low-latency, edge, or embedded deployment. Software Engineering: Ability to write clean, well-documented code and collaborate using version control systems (e.g., Git). Domain-Relevant Experience: While direct experience in sports officiating is not required, experience in adjacent fields such as: Sports Analytics: Building models for performance analysis or event detection in sports. Robotics/Autonomous Systems: Developing vision and control algorithms for real-time decision-making. Surveillance/IoT: Implementing sensor fusion techniques and real-time video analytics. Project or research experience that demonstrates your ability to solve complex problems in real-time environments is highly desirable. Soft Skills: Problem-Solving: Ability to work through challenging technical problems and innovate solutions. Collaboration: Excellent communication skills to articulate technical concepts to non-technical stakeholders and work effectively in a small, cross-functional team. Adaptability: Self-motivated and eager to learn new domains, with a proactive approach to overcoming technical challenges. Team Spirit: A willingness to contribute ideas, accept feedback, and continuously iterate on solutions. Why Join Us? Innovative Domain: Be at the forefront of merging AI with sports officiating and analytics—a field ripe for innovation. Collaborative Environment: Work directly with the founder and a lean, agile team, where your ideas directly influence the product’s direction. Growth Opportunity: Gain experience in building a product from concept to market, with room to grow as the company scales. Competitive Compensation: We offer a competitive salary with potential equity participation in a rapidly evolving startup.

We are transforming the financial services community which is in constant evolution. Like professional dancers we are experts in our field and are defining new pathways for financial services to serve the world. With our agility we make technology simple & accessible for our users. We all work together to achieve the best solutions for our clients. Tell us what your ambitions are, we will choreograph your career and take it to the next level! Job Role: • Use ML and Generative AI tools to provide a scalable cloud environment for our customers to label data, build, train, tune and deploy their models • Architect and create scalable ML and Generative AI solutions for business problems • Work closely with account team to drive the business Requirements: 7+ years of related industry experience in the machine learning domain 3+ years of design, implementation, or consulting in applications and infrastructures experience Experience in Torch, RNN, reinforcement learning Expertise in Python with the ability to write performant production-quality code Familiarity with SQL Experience building and scaling machine learning models in business applications using large amounts of data Experience building NLP related applications using LLM Academic Requirements Bachelors and above degree in a quantitative subject (Statistics, Mathematics, Computer Science,)

About Company: our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.They helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.Powering this growth is our clients talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Job Description: Job Title: JavaScript Developer Location : Pan India Experience: 5+ yrs. Employment Type: Contract to hire. Work Mode: Hybrid Notice Period: - Immediate joiners only Roles and Responsibilities: Strong experience with JavaScript Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases . Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.

About Company: our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.They helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.Powering this growth is our clients talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Job Description: Job Title: Python Developer Location: Pan India Experience: 5+ yrs. Employment Type: Contract to hire Work Mode: Remote Notice Period: - Immediate joiners Roles and Responsibilities: Minimum 5+ years of overall experience Strong experience with at least one of the following languages: Python Proficiency with Git, Docker, and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.

About Company: Our Client is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Client helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Powering this growth is Client talent cloud—an AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALAN—our AI-powered platform for matching and managing talent, and generating high-quality human and synthetic data to improve model performance. ALAN also accelerates workflows for model and agent evals, supervised fine-tuning, reinforcement learning, reinforcement learning with human feedback, preference-pair generation, benchmarking, data capture for pre-training, post-training, and building AI applications. Client—based in San Francisco, California—was named #1 on The Information's annual list of "Top 50 Most Promising B2B Companies," and has been profiled by Fast Company, TechCrunch, Reuters, Semafor, VentureBeat, Entrepreneur, CNBC, Forbes, and many others. Client leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, X, Stanford, Caltech, and MIT. Job Title: Java Developer Location: Remote Note: Candidate should be comfortable to work for US Shifts/Night Shifts Interview Mode: Virtual (Two rounds of interviews (60 min technical + 30 min technical & cultural discussion) Client: Turing Experience: 5+ yrs Job Type : Contract to hire. Notice Period:- Immediate joiners. Roles and Responsibilities: Analyze and triage GitHub issues across trending open-source libraries. Set up and configure code repositories, including Dockerization and environment setup. Evaluating unit test coverage and quality. Modify and run codebases locally to assess LLM performance in bug-fixing scenarios. Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs. Opportunities to lead a team of junior engineers to collaborate on projects. Required Skills: Minimum 5+ years of overall experience Strong experience with at least one of the following languages: Java or Python Proficiency with Git, Docker , and basic software pipeline setup. Ability to understand and navigate complex codebases. Comfortable running, modifying, and testing real-world projects locally. Experience contributing to or evaluating open-source projects is a plus.

Scopely is looking for an Intern - AI Engineer to join our Gen AI team in Bangalore! At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. What You’ll Do Contribute to AI initiatives in Conversational Analytics, Conversational Knowledge Bases, and QA Automation Design and prototype AI systems that enhance game development, analytics, and player experience Explore and experiment with cutting-edge technologies including: MCP (Model Context Protocol) — creating structured systems to manage AI model context across use cases Autonomous Agents — developing AI-driven entities capable of decision-making and interaction AI Avatars / NPCs, 3D modelling and animation pipelines Present research, insights, and demos that shape the direction of AI at Scopely What We’re Looking For Proficient in programming languages such as Python, JS, or similar You’re endlessly curious, proactive in learning, and not afraid to ask “why?” You take ownership, work independently, and break down complex problems with creative solutions You care about making a difference — whether that’s streamlining a workflow or creating tech that enhances game experience Strong analytical and problem-solving skills, with the ability to approach complex challenges methodically Effective verbal and written communication skills for collaborating and sharing technical ideas Bonus: Familiarity with machine learning, deep learning, reinforcement learning, or other AI methodologies At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! About Us Scopely is a global interactive entertainment and mobile-first video game company, home to many top, award-winning experiences such as "MONOPOLY GO!," “Star Trek™ Fleet Command,” “Stumble Guys,” “MARVEL Strike Force,” and “Yahtzee® With Buddies,” among others. Scopely creates, publishes, and live-operates immersive games that empower a directed-by-consumer™ experience across multiple platforms--from mobile, web, PC and beyond. Founded in 2011, Scopely is fueled by a world-class team and a proprietary technology platform Playgami that supports one of the most diversified portfolios in the games industry. Recognized multiple times as one of Fast Company’s “World’s Most Innovative Companies,” Scopely is a multi-billion-dollar business due to its ability to create long-lasting game experiences that players enjoy for years. Scopely has global operations in more than a dozen markets across Asia, EMEA, and North America, and is home to many internal game development teams, referred to as Scopely Studios, with additional game studio partners across four continents. Scopely was acquired by Savvy Games Group in July 2023 for $4.9 billion, and is now an independent subsidiary of Savvy. For more information on Scopely, visit: scopely.com Notice to candidates: Scopely, Inc and its affiliates will never request payment or ask for financial information as a condition for applying to a position or receiving an offer of employment. All official Scopely, Inc. recruiters only use email domains that end with @scopely.com. Our official website is www.scopely.com. Please only apply to positions posted on our official website and ensure the recruiter only communicates via the official email domain. Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice.

Job Title: QA Engineer – Generative AI Testing Location: [Hybrid – Hyderabad/Vishakhapatnam] Job Type: [Full-time] Job Summary: We are seeking a skilled and detail-oriented QA Engineer with expertise in Generative AI Testing to join our team. In this role, you will be responsible for ensuring the accuracy, safety, and performance of AI-driven applications, particularly in the field of Generative AI. You will design and execute test strategies, develop automation frameworks, and validate AI outputs to maintain high-quality user experiences. Key Responsibilities: Design, develop, and execute comprehensive test plans for Generative AI models and applications. Validate AI-generated outputs for accuracy, coherence, bias, ethical considerations, and alignment with business requirements. Develop and maintain automated testing frameworks for AI-based applications, ensuring scalability and efficiency. Perform adversarial testing, edge case analysis, and security testing to assess AI vulnerabilities. Collaborate with AI/ML engineers, product managers, and developers to refine model performance and mitigate errors. Monitor AI model drift and ensure consistent performance across different inputs and datasets. Conduct performance testing to evaluate response times, scalability, and reliability of AI systems. Document test cases, test results, and defects while ensuring compliance with AI governance and ethical guidelines. Continuously explore new tools and methodologies to improve AI testing processes. Requirements: Bachelors or Master’s degree in Computer Science, Engineering, or a related field. 3+ years of experience in Quality Assurance , with at least 1-2 years in AI/ML testing or Generative AI applications. Strong understanding of AI/ML concepts, NLP models, LLMs, and deep learning architectures. Experience with AI testing tools such as LangTest, DeepChecks, Trulens, or custom AI evaluation frameworks . Proficiency in test automation using Python, Selenium, PyTest, or similar frameworks . Familiarity with model evaluation metrics such as BLEU, ROUGE, perplexity, and precision-recall for AI-generated content. Knowledge of bias detection, adversarial testing, and ethical AI considerations. Experience working with APIs, cloud platforms (AWS, Azure, GCP), and MLOps practices. Strong analytical and problem-solving skills with attention to detail. Excellent communication and collaboration skills to work in cross-functional teams. Nice to Have: Experience in testing AI chatbots, voice assistants, or image/video-generating AI. Knowledge of LLM fine-tuning and reinforcement learning from human feedback (RLHF). Exposure to regulatory and compliance frameworks for AI governance. Why Join Us? Opportunity to work on cutting-edge AI products. Collaborate with a team of AI and software experts. Competitive salary, benefits, and career growth opportunities. If you’re interested, Please share your resume with Dkadam@eprosoft.com

Description 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 Basic Qualifications 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. Preferred Qualifications 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. Company - ADCI - Haryana Job ID: A3036845

Description 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 Basic Qualifications 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. Preferred Qualifications 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. Company - ADCI - Haryana - D50 Job ID: A3036847

Description 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 Basic Qualifications 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. Preferred Qualifications 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. Company - ADCI - Haryana - D50 Job ID: A3036856

Millennium IMS Pvt Ltd is on the lookout for experienced Python professionals to join as Freelance Code Reviewers for a pioneering AI/LLM project. You will audit Python code evaluations submitted by data annotators assessing AI-generated code — playing a key role in improving the quality of large language models through high-quality human feedback . 🚀 Highlights 💼 FREELANCE – Work as per your availability ⏰ Flexible work hours – ideal for working professionals 🏠 100% Remote – work from the comfort of your home 💸 Hourly payouts – get paid for the hours you contribute 🌐 Contribute to cutting-edge AI projects 1500 INR to 1800 INR per/hour 🔧 Responsibilities Review and audit Python code evaluations submitted by annotators. Check for code correctness, security, and adherence to prompt instructions. Use Docker and code execution tools to validate functionality (when applicable). Identify and flag inaccurate feedback or scoring by annotators. Provide clear, concise, and constructive written feedback. Ensure compliance with Project Atlas standards and evaluation guidelines. ✅ Required Qualifications 5 to 10 years of experience in Python development, code review, or QA. Expert-level understanding of Python syntax, edge cases, testing, and debugging. Hands-on experience with Docker and isolated code execution environments. Excellent written communication for detailed feedback reports. Prior experience with structured QA or annotation review workflows. English proficiency at B2, C1, C2, or Native level. ✨ Preferred Skills Experience with LLM model evaluation or Reinforcement Learning from Human Feedback (RLHF) . Familiarity with annotation tools or platforms. Ability to review and run code in varied, containerized environments.

Responsibilities: Pull daily banking for multiple clients Enter deposits into the reconciliation logs Process timely and accurate posting of all payments Post all payments within 24 hours Meet strict posting deadlines to ensure that Payment Posting Manager can complete weekly and monthly reporting requirements Communicate all payer issues to the Payment Posting Manager Understand payer contract with all rules that apply to that specific payer and client Maintain professional and consistent communication with the team and clients to ensure that all needed items are received in a timely manner Identify patterns and trends that indicate a potential issue Other responsibilities as assigned Required Knowledge, Skills, Abilities & Education: Payment posting Experience with accounts receivable Experience with some or all of the following practice management systems: Amkai, SIS/Vision/Advantx, HST, EPIC RESOLUTE, is preferred Knowledge of payer contracts and (EOBs), explanation of benefits Experience working in a clearinghouse Understanding of HIPAA regulations Strong verbal and written skills Great attention to detail to avoid data entry errors Excellent communication skills Strong organizational skills Effective time management A positive, open and friendly attitude to colleagues and clients Superior customer service and professionalism Preferred Knowledge, Skills, Abilities & Education: University certificate in healthcare related field 2+ years Ambulatory Surgical Center coding experience

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 . 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.

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 . 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.

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 . 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.

Job Description Summary Based at GE Vernova Power Conversion Chennai site the Services Specialist role is an exciting opportunity for an action-oriented individual with deep technical foundation of Power Conversion equipment. You will be able to leverage your technical knowledge to directly support customer through commissioning, maintaining, servicing of Power Conversion’s state of the art products and solutions across the globe, while you collaborate across the globe with key functional teams and enhance your strategic business acumen. The job will require frequent traveling up to 100 % to various client sites in India and globally. Highly technically challenging career role to work on the state-of-the-art high performance and high accuracy controllers drive customer fulfillment, while you collaborate across the globe with key functional teams and enhance your strategic business acumen. Our team of dedicated experts needs reinforcement from young or experienced colleagues. So if you find electric drive technology and the associated processes interesting, can get excited about it, and are a thoroughbred technician/engineer, then we are looking for you! Great performance needs Great Engineers! Job Description Essential Responsibilities: The Services Specialist develops practical and innovative ways to identify and meet goals. In this role you are responsible for work which is defined in scope, utilize your understanding and experience to execute business objectives, and have the ability to effect short-term and some long-term business goals. Commissioning of extensive systems consisting of power controllers, frequency converters, load commutated drives, excitation systems, electrical machines, and load machines or production plants, such as large converters for pumped storage power plants, gas turbine power plants, and much more. Commissioning of the Medium Voltage and Low Voltage variable speed drives with Medium Voltage Switchgear in business segments such as Power Plants, Metals, Marine, Oil & Gas, Material handling, etc., Show-up individuality with less supervision in commissioning and service activities in Power Equipment. Should communicate clearly and follow the instructions from Site Lead or Site manager and perform the task with at most quality. Interact and assistance to the customer, user, and other GE Vernova field personnel in the operation, inspection, maintenance, and repair of assigned product lines. Perform on-site installation of systems and equipment and ongoing preventive maintenance, repair and calibration after installation Perform unplanned/corrective maintenance and complete all necessary technical and business documentation on time and accurate. Comply with the integrity and compliance guidelines. Record keeping of day-to-day activities in digital forms. Provide technical assistance to customer representatives regarding installation, operation, calibration, repair and maintenance at customer's sites Respond to requests for emergency repairs and services to troublesome equipment Knowledge to troubleshoot and provide routine maintenance checkout for wide range of equipment vintage Maintain strong safety mindset to assure the executed work reflects the technical requirements within GE Vernova safety standards. Ensure all work is performed in accordance with the organization’s EHS and associated policies/procedures Ensure customer satisfaction with maintenance solutions, according to the metrics of service, terms, performance, and quality. A job at this level requires good interpersonal skills. For customer facing roles, develops strong customer relationships and serves as the interface between customer and GE Vernova. Explains technical information to others. Assist customer with improving reliability and reducing cost of ownership Provide single point of contact to the customer, customer team, and all other GE Vernova stakeholders Assist the factory with data collection and timely reporting to facilitate fleet performance analysis, including marketing intelligence and sales opportunities for services, and support Assist customer with spare parts ordering & issues resolution Qualifications/Requirements Masters / Bachelors / Diploma Degree from accredited college / university in Electrical Engineering or allied Engineering. 2 – 7 years of relevant experience Should have process knowledge of Metal / Marine / Oil & Gas / Test Bench / Material Handling / Power Plant Knowledge in Power Electronics, High Voltage Equipment & PLC Desired Characteristics Work experience on Power converters, generators, switchboards, AVR, excitation systems and MV/LV drives Strong oral and written communication skills Strong interpersonal and leadership skills Ability to work independently. Strong problem-solving skills Strong attention to detail Proactive self-starter and change agent & ability to work under stress environment Cross functional, ability to work on matrix environment, and international team experience Effectively communicate across all organizational levels, departments, and functions Demonstrated technical aptitude and business acumen. International experience Additional Information Relocation Assistance Provided: Yes This is a remote position

At Cinque Technologies, the Compliance Technical Consultant reviews, suggests and leads new features and functionalities in the existing AML/CFT products to further scale it in different domains like Banking, Insurance, Travel, Retail, Exchange, etc. in different geographies. Compliance Officer studies the different market demands, trends and facilitates team. This position plays a crucial role in company’s expansion and is evaluated based on the number of new prospective clients provided from multiple domains and geographies and deals finalized with the company. Degree in machine learning or related technical disciplines or equivalent industry experience Deep expertise and practical hands-on skills in multiple machine learning techniques such as Natural Language Processing, Computer Vision, Reinforcement Learning, or Predictive Analytics In-depth knowledge and practical hands-on architecture skills in designing enterprise-grade ML platform that meets the most stringent security, compliance, performance/scalability, and operational requirements Practical hands-on coding skills (e.g., Python, SQL, Java) in developing advanced machine learning algorithms or key components of enterprise-grade machine learning platforms 5+ years of total related industry experience, with 5+ years in leading large-scale machine learning engineering or data science initiatives in a large enterprise setting Participation and contribution at industry AI/ML conferences Practical hands-on experience with industry-leading ML services/products (e.g., AWS AI/ML services) Practical hands-on experience with multiple industry-leading ML frameworks (e.g., TensorFlow, PyTorch, MXNet, Keras, Scikit-Learn) Experience with public clouds Excellent verbal and written communication skills and ability to work with senior executives effectively and navigate complex organizational structure Job Type: Full-time Pay: ₹40,000.00 - ₹90,000.00 per month Benefits: Health insurance Paid sick time Provident Fund Application Question(s): What is your current Salary? What is your Expected Salary? Do you have experience in Fintech or Finance Domain? Experience: AI/ML: 3 years (Required)

iSec is at the forefront of innovation in the field of information security, leveraging artificial intelligence and machine learning to enhance cybersecurity solutions. We are looking for a talented and motivated Programming Intern to join our team and assist in the development of AI models tailored to identify, analyze, and mitigate security threats. **Job Summary:** As a Programming Intern, you will work with our AI and information security teams to design, implement, and test machine learning models aimed at enhancing cybersecurity protocols. This is a unique opportunity for someone passionate about AI and security to gain hands-on experience and contribute to impactful projects in a fast-evolving field. **Key Responsibilities:** - **Develop and Train AI Models:** Assist in the design, coding, and training of machine learning models focused on identifying anomalies, detecting threats, and improving data security. - **Data Preprocessing and Management:** Work with large datasets to clean, preprocess, and prepare data for model training, ensuring data integrity and accuracy. - **Algorithm Optimization:** Experiment with and optimize various machine learning algorithms to improve model performance and efficiency. - **Testing and Validation:** Assist in testing, validating, and fine-tuning models to ensure high accuracy and robustness against potential security threats. - **Documentation:** Document model architecture, data flow, and codebase as well as maintain comprehensive records of model results and improvements. **Requirements:** - **Education:** Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, Cybersecurity, or a related field. - **Programming Skills:** Proficiency in Python is essential; familiarity with libraries such as TensorFlow, PyTorch, Scikit-Learn, and Pandas is preferred. - **Knowledge of Machine Learning Algorithms:** Understanding of basic machine learning and deep learning concepts, with experience in supervised, unsupervised, or reinforcement learning. - **Familiarity with Information Security:** Basic knowledge of cybersecurity principles, including threat detection, network security, and encryption, is a plus. - **Analytical Skills:** Strong problem-solving abilities and attention to detail in analyzing data, troubleshooting issues, and optimizing model performance. - **Communication Skills:** Ability to document work clearly and collaborate effectively with team members from various technical background **Preferred Qualifications:** - Prior experience or coursework related to machine learning or information security. - Exposure to big data tools and cloud platforms (AWS, Google Cloud, Azure) is advantageous. - Experience with Git or other version control systems. **Benefits:** - Hands-on experience in AI and cybersecurity within a supportive team environment. - Mentorship from experienced AI and cybersecurity professionals. - Opportunity to contribute to real-world projects with meaningful impact. - Potential for future employment opportunities based on performance. **Application Process:** To apply, please submit your resume, a brief cover letter detailing your interest and relevant experience, and any relevant project work or code samples. Job Types: Full-time, Internship, Volunteer Contract length: 6 months Schedule: Day shift Supplemental Pay: Performance bonus Ability to commute/relocate: Oshiwara, Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Required) Experience: total work: 1 year (Preferred) Location: Oshiwara, Mumbai, Maharashtra (Preferred) Work Location: In person Application Deadline: 25/07/2025 Expected Start Date: 01/08/2025

Job Description Summary Responsible for designing, building POC's in AI, delivering and maintaining software and AI applications & services. Working in the areas of machine learning, cloud, platform and/or software applications. Responsible for software lifecycle including activities such as requirement analysis, documentation/procedures and implementation. Job Description In this role, you will: Have awareness of SDLC and methodologies like Lean/Agile/XP, CI, Software and Product Security, Scalability, Documentation Practices, refactoring and Testing Techniques. Ability to write code that meets standards and delivers desired functionality using the technology selected for the project. Understand performance parameters and can assess application performance. Understand core data structures and algorithms and has the ability to implement them using language recommended by the Product architects. Write code that meets standards and delivers desired functionality using the technology selected for the project . Assist in developing, training and optimizing ML/DL models (NLP, reinforcement learning etc.) . Preprocess and analyze large datasets for model training . Implement and test algorithms in frameworks like Tensor Flow and Pytorch . Deploy models using cloud services (AWS/Azure) or edge devices for GridOS product and Customers . Contribute to AI prototyping . Support end customers post deployment of the solutions and resolve bugs. . Deep Dive into research papers in AI/ML domain and come up with ideas to design and develop new models for power system domain Education Qualification Master of Technology in Computer Science with Specialization in Artificial Intelligence from a reputed university. Desired Characteristics Technical Expertise: Comfortable in building features such as web services and Queries on existing tables. Aware of methods and practices such as Lean/Agile/XP, etc. Prior work experience in an agile environment, or introductory training on Lean/Agile. Aware of and able to apply continuous integration (CI). General understanding of the impacts of technology choice to the software development life cycle. Business Acumen: Has the ability to break down problems and estimate time for development tasks. Understands the technology landscape, up to date on current technology trends and new technology, brings new ideas to the team. Displays understanding of the project's value proposition for the customer. Shows commitment to deliver the best value proposition for the targeted customer. Learns organization vision statement and decision making framework. Able to understand how team and personal goals/objectives contribute to the organization vision Personal/Leadership Attributes: Voices opinions and presents clear rationale. Uses data or factual evidence to influence. Learns organization vision statement and decision making framework. Able to understand how team and personal goals/objectives contribute to the organization vision. Completes assigned tasks on time and with high quality. Takes independent responsibility for assigned deliverables. Has the ability to break down problems and estimate time for development tasks. Seeks to understand problems thoroughly before implementing solutions. Asks questions to clarify requirements when ambiguities are present. Identifies opportunities for innovation and offers new ideas. Takes the initiative to experiment with new software frameworks Adapts to new environments and changing requirements. Pivots quickly as needed. When coached, responds to need & seeks info from other sources Note: This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager. Additional Information Relocation Assistance Provided: Yes

Location: Remote Experience: 8+ Years Job Type: Contract Job Overview: We are seeking a highly skilled Machine Learning Architect to design and implement cutting-edge AI/ML solutions that drive business innovation and operational efficiency. The ideal candidate will have deep expertise in Google Cloud Platform , Gurobi , and Google OR-Tools , with a proven ability to build scalable, optimized machine learning models for complex decision-making processes. Key Responsibilities: Design and develop robust machine learning architectures aligned with business objectives. Implement optimization models using Gurobi and Google OR to address complex operational problems. Leverage Google Cloud AI/ML services (Vertex AI, TensorFlow, AutoML) for scalable model training and deployment. Build automated pipelines for data preprocessing, model training, evaluation, and deployment. Ensure high-performance computing and efficient resource usage in cloud environments. Collaborate with data scientists, ML engineers, and business stakeholders to integrate ML solutions into production. Monitor, retrain, and enhance model performance to maintain accuracy and efficiency. Stay current with emerging AI/ML trends, tools, and best practices. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field. 5+ years of experience in machine learning solution architecture and deployment. Strong hands-on experience with Google Cloud AI/ML services (Vertex AI, AutoML, BigQuery, etc.). Deep expertise in optimization modeling using Gurobi and Google OR-Tools . Proficiency in Python, TensorFlow, PyTorch, and ML libraries/frameworks. Solid understanding of big data processing frameworks (e.g., Apache Spark , BigQuery ). Excellent problem-solving skills with the ability to work across cross-functional teams. Preferred Qualifications: PhD in Machine Learning, Artificial Intelligence, or a related field. Experience with Reinforcement Learning and complex optimization algorithms. Working knowledge of MLOps , CI/CD pipelines, and Kubernetes for model lifecycle management. Familiarity with Google Cloud security best practices and identity/access management. Unlock more with Plus