3960 Reinforcement Jobs

DESCRIPTION We are looking for a Risk Specialist to join our BAR team specializing in quality audits, video verifications, investigations, risk management, and future leaders who will be the foundation of our team as we scale and grow. Key job responsibilities 1. Performs audits based on high judgement to identify hard/soft defects or process gaps. 2. Performs peer review of tasks/deliverables wherever applicable. 3. Creates, updates learning modules and support business owners in driving improvements to ensure defect reduction. 4. Identifies & manages small to mid-scale process improvement opportunities at process or team level. 5. Communicates to business leaders on pre-defined guidelines with data and resolves issues with reduced guidance. 6. Work in sync with Data resources and create daily / weekly / monthly quality reports for the process and team based on set requirements. 7. Tracks and reports progress on key goals specific to the program. 8. Adheres to set targets on productivity and quality. 9. Manages escalations on routine and predefined tasks with minimal supervision. 10. Learns new tools / SOPs / processes with minimal supervision. 11. Leveraging and integrating Large Language Models (LLMs) and Gen-AI tools into process design to maximize return on investment and minimize costs. About the team Business Assessment and Reinforcement (BAR) owns risk mining and audit for high judgement complex decisions including one-way door inventory disposal and funds withholding decisions that routinely end in litigation. We support SPIV & FRM orgs to drive improvements in investigation judgement and accuracy in enforcement decisions along with driving innovation and business excellence based on inspection of operational processes and requirements from our partner teams. We implement ops efficiency solutions on behalf for ops and program teams by identifying and fixing gaps where confirmed bad actors have a good experience or good sellers have a bad experience. BASIC QUALIFICATIONS 18 months experience in POE, Authentication Team, Abuse Prevention or fraud related team 1+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience Experience with SQL and Excel Bachelor's degree or equivalent Experience handling confidential information PREFERRED QUALIFICATIONS Demonstrates high degree of ability to analyze data, using the data to drive decision making and implement effective resolutions Advanced skills using Microsoft Excel in a business environment 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.

Ready to build the future with AI? At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Senior Principal Consultant - AI/ML Engineer In this role, you will be responsible for creating cutting-edge artificial intelligence solutions that possess a broad understanding of diverse tasks and domains. You will contribute to the development of intelligent systems capable of adapting and learning across a wide range of applications. Responsibilities Design and implement algorithms that enable the General AI system to acquire new knowledge efficiently and adapt to evolving tasks seamlessly. Develop mechanisms for the General AI to perform various tasks, such as natural language understanding, image recognition, and decision-making, ensuring a holistic and versatile skill set. Implement continual learning strategies that allow the General AI to adapt and improve its performance over time, learning from both labelled and unlabelled data. Collaborate with specialists from different domains to integrate domain-specific knowledge and ensure the General AI's applicability in diverse real-world scenarios. Incorporate ethical considerations into the design and development of the General AI, addressing issues related to bias, fairness, and transparency in AI decision-making processes. Optimize the General AI system for scalability, ensuring efficient performance across different hardware and deployment environments. Build, deploy, and monitor ML models and Copilot features for user insights/automation Engage in interdisciplinary research, staying updated on advancements in AI, cognitive science, and related fields, and applying relevant findings to enhance the capabilities of General AI. Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. Verifying data quality, and/or ensuring it via data cleaning Defining validation strategies & data augmentation pipelines Designing, developing, and researching Machine Learning systems, models, and schemes Good working knowledge on deep learning and advanced NLP techniques Analyzing the use cases of ML algorithms and ranking them by their success probability Should be excellent with Rasa Framework or any other chatbot interface. Performing statistical analysis and using results to improve models. Training and retraining ML systems and models in real-world situations Visualizing data for deeper insights Hands-On with Service / Incident Management tools: JIRA / ServiceNow Knowledge and experience with Software Version Control systems: GIT, SVN etc. Qualifications we seek in you! Minimum Qualifications BE/B Tech/MCA Excellent written and verbal communication skills Basic understanding of Investment Management/financial services domain knowledge Preferred Qualifications Create comprehensive documentation of algorithms, models, and methodologies, and actively contribute to knowledge transfer within the team to foster a collaborative and learning-oriented environment. Demonstrated expertise in artificial intelligence, machine learning, and deep learning. Strong programming skills, preferably in Python, and experience with popular AI frameworks (e.g., TensorFlow, PyTorch) Experience with reinforcement learning and transfer learning in the context of General AI. Knowledge of cognitive science principles and their application to AI development Skill Set Machine learning NLP and Advanced NLP Public Deep Learning (CNN,ANN,RNN) Rasa Pandas, sql Python Django, Flask Tensorflow Keras Chatbot Development Agile AWS GIT Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Senior Principal Consultant Primary Location India-Bangalore Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Sep 13, 2025, 6:20:13 AM Unposting Date Ongoing Master Skills List Digital Job Category Full Time

DESCRIPTION We are looking for a Risk Specialist to join our BAR team specializing in quality audits, video verifications, investigations, risk management, and future leaders who will be the foundation of our team as we scale and grow. Key job responsibilities 1. Performs audits based on high judgement to identify hard/soft defects or process gaps. 2. Performs peer review of tasks/deliverables wherever applicable. 3. Creates, updates learning modules and support business owners in driving improvements to ensure defect reduction. 4. Identifies & manages small to mid-scale process improvement opportunities at process or team level. 5. Communicates to business leaders on pre-defined guidelines with data and resolves issues with reduced guidance. 6. Work in sync with Data resources and create daily / weekly / monthly quality reports for the process and team based on set requirements. 7. Tracks and reports progress on key goals specific to the program. 8. Adheres to set targets on productivity and quality. 9. Manages escalations on routine and predefined tasks with minimal supervision. 10. Learns new tools / SOPs / processes with minimal supervision. 11. Leveraging and integrating Large Language Models (LLMs) and Gen-AI tools into process design to maximize return on investment and minimize costs. About the team Business Assessment and Reinforcement (BAR) owns risk mining and audit for high judgement complex decisions including one-way door inventory disposal and funds withholding decisions that routinely end in litigation. We support SPIV & FRM orgs to drive improvements in investigation judgement and accuracy in enforcement decisions along with driving innovation and business excellence based on inspection of operational processes and requirements from our partner teams. We implement ops efficiency solutions on behalf for ops and program teams by identifying and fixing gaps where confirmed bad actors have a good experience or good sellers have a bad experience. BASIC QUALIFICATIONS 18 months experience in POE, Authentication Team, Abuse Prevention or fraud related team 1+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience Experience with SQL and Excel Bachelor's degree or equivalent Experience handling confidential information PREFERRED QUALIFICATIONS Demonstrates high degree of ability to analyze data, using the data to drive decision making and implement effective resolutions Advanced skills using Microsoft Excel in a business environment 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.

Aarya Foundation is a NGO located in Hyderabad - https://www.aaryafoundation.org/ Unpaid research opportunity - https://youtu.be/3IZagDdwIno 🚀 Join the Frontier of AI-Driven Drug Discovery! At Aarya Foundation, we intend to revolutionize pharmaceuticals by harnessing the power of generative AI to accelerate new drug development. Our mission is to tackle unmet medical needs through innovative computational models that design novel molecules, predict interactions, and streamline clinical pathways. If you're passionate about blending cutting-edge AI with biotech to save lives, we want you on our team! We're seeking a talented AI Researchers specializing in generative AI for drug discovery. In this role, you'll pioneer models that generate viable drug candidates, optimize molecular structures, and integrate multi-omics data for faster, more efficient discovery processes. Key Responsibilities : - Develop and deploy generative AI models (e.g., GANs, VAEs, diffusion models) tailored for de novo drug design, protein-ligand binding prediction, and toxicity screening. - Collaborate with cross-functional teams including biologists, chemists, and data scientists to validate AI-generated hypotheses through simulations and wet-lab experiments. - Analyze large-scale datasets from sources like PubChem, ChEMBL, and proprietary pharma databases to train and fine-tune models. - Publish research findings in top-tier journals/conferences (e.g., NeurIPS, ICML, Nature Machine Intelligence) and contribute to open-source AI tools in the biotech space. - Stay ahead of emerging trends in AI for life sciences, such as multimodal learning and reinforcement learning for molecular optimization. Qualifications : - Computer Science, Bioinformatics, Computational Chemistry, or a related field with interest in AI/ML for drug discovery. - I nterest in generative AI frameworks (e.g., PyTorch, TensorFlow) and domain-specific tools (e.g., RDKit, PySCF, AlphaFold integrations). - Programming skills in Python; experience with high-performance computing (HPC) environments is a plus. - Interest in AI-driven drug design, such as virtual screening or ADMET prediction. - Problem-solving abilities, with a collaborative mindset and passion for translating research into real-world impact. What We Offer : - Flexible remote work environment. - Opportunities for professional growth. - A diverse, inclusive culture focused on ethical AI and societal good. If you're ready to push the boundaries of generative AI in drug discovery, apply now! Send your resume, cover letter, and a portfolio of relevant work (e.g., GitHub repos or publications) to kalyan@hiagents.life. Let's build the future of medicine together. #AIDrugDiscovery #GenerativeAI #BiotechJobs #MachineLearning #PharmaInnovation

Job Title: AI/ML Engineer Experience: 3-6 Years Location: Hybrid (Pune) Employment Type: Full-Time Roles & Responsibilities: 1. Model Development & Training Design, train, and fine-tune AI/ML models, especially Generative AI and Large Language Models (LLMs) , to address specific use cases. Build conversational AI solutions and chatbots using frameworks such as LangChain, RAG (Retrieval-Augmented Generation), and Chain-of-Thought (CoT) prompting . Apply advanced techniques, including embeddings, fine-tuning, and custom prompting strategies . Incorporate REACT (Retrieve, Extract, Adapt, Construct, Think) methods to enhance model performance. Develop scalable AI solutions for seamless integration into production environments. 2. Data Handling Manage large-scale datasets for AI/ML applications, ensuring data quality, transformation, and normalization. Conduct data preprocessing, munging, and analysis to extract valuable insights. Implement scalable data engineering workflows for model development and deployment. 3. Cloud AI/ML Deployment Deploy, manage, and optimize AI models on Google Cloud Platform (GCP) (or other platforms like AWS/Azure). Utilize GCP services such as Vertex AI, BigQuery, Cloud Functions, and Dataflow for AI workflows. 4. Collaboration & Solutioning Work with cross-functional teams (product managers, data scientists, and engineers) to deliver AI-driven solutions. Integrate models into client-facing applications ensuring end-to-end implementation. Support scalable development using Docker for containerization (preferred). 5. Continuous Improvement Stay updated with latest advancements in AI/ML and Generative AI frameworks. Proactively learn and apply new tools, libraries, and methodologies to improve processes. 6. Web Scraping (Optional but Preferred) Implement web scraping solutions to gather data from unstructured sources for training and validation. Required Skills & Qualifications: 3–6 years of experience in AI/ML model development, training, and fine-tuning . Strong programming skills in Python and SQL . Hands-on experience with Generative AI, LLMs, and NLP techniques . Experience with Lang-Chain, RAG frameworks, and advanced prompting strategies . Proficiency in CoT prompting, Model Context Protocol (MCP), and Agent-to-Agent (A2A) orchestration . Strong knowledge of embeddings and fine-tuning models for specific tasks. Solid understanding of ML algorithms and statistical analysis . Experience with large datasets and scalable data workflows . Hands-on with GCP (Vertex AI, BigQuery) or equivalent cloud platforms ( AWS/Azure ). Familiarity with Docker for deployment and containerization. Strong skills in data cleaning, transformation, and normalization . Preferred Skills Knowledge of Reinforcement Learning from Human Feedback (RLHF) . Familiarity with REACT frameworks . Experience in web scraping techniques . Key Attributes Strong analytical and problem-solving abilities. Ability to work independently and collaboratively . Excellent communication skills for stakeholder interaction. Proactive in adopting new AI technologies and frameworks .

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Employee Platforms team, you serve as a seasoned member of an Incubation and Research team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. This role requires a unique ability to apply state-of-the-art technical skills, work with ambiguity, and deliver projects to completion. You will be instrumental in developing innovative solutions, finding market fit, and delivering products that resonate with our users. As a hands-on engineer, you will bring in cutting-edge technologies, including Generative AI and ML. Job Responsibilities Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Embrace ambiguity and lead the development of innovative solutions without a predefined roadmap. Implement the Build-Measure-Lean loop by rapidly prototyping, testing, and iterating on engineering solutions. Analyze user feedback and technical challenges to refine product offerings and ensure alignment with user needs. Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems. Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems. Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture. Contribute to software engineering communities of practice and events that explore new and emerging technologies. Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience in Python, SQL, advanced GenAI technologies like multimodality (Voice & Images), Agentic AI and ML technologies Highly proficient in coding in one or more languages such as Python, SQL, Java and R programming languages Experience with one or more platform tech stacks such as AWS, Docker, Kubernetes, Data bricks and CI/CD pipelines. Solid understanding of using ML techniques specially in Natural Language Processing (NLP), Knowledge Graph and Large Language Models (LLMs) Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search) Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, application resiliency, and security Preferred Qualifications, Capabilities, And Skills Proficiency in optimizing and tuning AI models to ensure efficient, scalable solutions, with experience in building and deploying ML models on cloud platforms such as AWS and using tools like Sagemaker and EKS. Knowledge of data engineering practices to support AI model training and deployment, along with a strong understanding of machine learning algorithms and techniques—including supervised, unsupervised, and reinforcement learning—and hands-on experience with libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Skills in collaborating with cross-functional teams to integrate generative AI solutions into broader business processes and applications, leveraging advanced LLM techniques such as Agents, Planning, and Reasoning. In-depth understanding of embedding-based search/ranking, recommender systems, graph techniques, and other advanced methodologies to enhance AI solution capabilities.

Job Description As a Machine Learning Engineer specializing in cognitive services, you will play a critical role in developing, optimizing, and deploying machine learning models that enhance the intelligence of our software products. You will work with cross-functional teams to create intelligent applications and services that understand and respond to natural language, images, and more. Key Responsibilities Design, develop, and implement machine learning models and algorithms for cognitive services. Collaborate with data scientists, software engineers, and product managers to define project requirements and deliver innovative solutions. Optimize machine learning models for scalability, efficiency, and performance. Participate in data collection, labeling, and preprocessing efforts to support model training. Stay up-to-date with the latest advancements in machine learning and cognitive services. Conduct research to identify the best AI and ML practices for our Required : Bachelor's or Master's degree in computer science, machine learning, or related field. 2+ years of practical experience in machine learning, deep learning, and natural language processing. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries. Strong programming skills in languages such as Python. Experience in deploying machine learning models into production environments. Knowledge of cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker). Excellent problem-solving and analytical skills. Strong communication skills and the ability to collaborate effectively in a team. Understanding of vector to Have : Experience with computer vision and image recognition. Knowledge of speech recognition and audio processing. Familiarity with chatbots and virtual assistants. Understanding of reinforcement learning. Open-source contributions or personal machine learning projects. (ref:hirist.tech)

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 10+ years. Should have experience to architect and design scalable, autonomous AI systems with a focus on Generative AI, agentic frameworks, and foundation models Should be able to lead the evaluation and integration of open-source and proprietary LLMs (e.g., GPT, Claude, LLaMA, Mistral). Should be able to define architectures for autonomous agents, multimodal models (text, image, audio), Retrieval-Augmented Generation (RAG) systems, and natural language to SQL pipelines. Should be able to collaborate with product, research, and engineering teams to align AI initiatives with business strategy. Should have hands-on experience with frameworks such as Hugging Face Transformers, LangChain, OpenAI API, or similar. Deep understanding of agent orchestration frameworks (e.g., AutoGen, CrewAI, LangGraph), LLM fine-tuning (e.g., LoRA, PEFT), RAG pipelines, and vector databases (e.g., FAISS, Pinecone). Should be able to design solutions leveraging cloud-native architecture (AWS, GCP, Azure), with emphasis on GPU infrastructure. Must have experience to develop modular, goal-driven AI systems capable of task planning, memory persistence, context tracking, and multi-agent collaboration. Should have experience building autonomous AI agents using frameworks such as AutoGPT, LangGraph, CrewAI, or ReAct. Strong understanding of task decomposition, memory management, and tool augmentation in agentic workflows. Should have familiarity with long-context memory techniques and multi-agent coordination strategies. Must have hands-on experience with agent simulations, LLM-driven planning, and dynamic tool selection. Should have knowledge of how to embed feedback, reasoning loops (e.g., Reflexion, Chain-of-Thought), and self-correction mechanisms into GenAI agents. Must have experience with human-in-the-loop (HITL) oversight and reinforcement learning for autonomous systems. Exhibit excellent communication, leadership, and collaboration skills. RESPONSIBILITIES: Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Must be able to establish best practices for fine-tuning, prompt engineering, model compression, and inference optimization. Should be able to Implement robust MLOps practices for model versioning, deployment, monitoring, and governance. Address ethical AI concerns including bias, hallucination, and data privacy in generative applications. Provide technical leadership in building and deploying generative models (LLMs, diffusion models, transformers, etc.). Ensure the responsible deployment of autonomous agents through safety layering, feedback loops, and auditability mechanisms. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements. Defining guidelines and benchmarks for NFR considerations during project implementation. Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers. Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it. Understanding and relating technology integration scenarios and applying these learnings in projects. Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Additional Information https://www.youtube.com/watch?v=QLpJ69AJ7As

We are looking for a highly motivated AI Presales Intern to join our team. In this role, you will engage directly with enterprise customers to understand their needs, design tailored Generative AI solutions , and demonstrate how AI can create measurable business value. This position sits at the intersection of engineering, product, and sales , offering exposure to both technical solutioning and strategic business conversations. AI Presales Intern Location: Hyderabad Employment Type: Internship (with potential PPO based on performance) Key Responsibilities Collaborate with sales and product teams to understand customer needs and design simple AI-powered solution concepts. Assist in preparing and delivering technical demos, workshops, and POCs using LLMs, RAG pipelines, and prompt engineering. Translate complex AI concepts into clear, business value–focused narratives for both technical and non-technical audiences. Support the presales team in addressing client concerns around AI adoption (security, scalability, ROI, compliance). Help build and maintain presales assets such as demo scripts, pitch decks, reference architectures, and documentation. Act as a connector between technical engineers and business stakeholders to ensure alignment and clarity. Required Skills Basic knowledge of Generative AI & LLMs (fine-tuning, Retrieval-Augmented Generation, prompt engineering preferred). Proficiency in Python (APIs, frameworks, and problem-solving). Familiarity with AI frameworks like LangChain, Hugging Face, or OpenAI APIs is a plus. Strong communication, presentation, and storytelling skills. Ability to simplify complex AI topics for both technical and non-technical stakeholders. High curiosity and willingness to learn quickly in a fast-paced environment . Strong interpersonal skills (high EQ) with active listening and questioning abilities. Preferred/Teachable Skills Strategic & Business Acumen : understanding of enterprise AI adoption challenges (security, compliance, scalability). Solution Architecture & Integration : exposure to enterprise systems, APIs, and cloud environments. Awareness of go-to-market strategies and customer enablement practices. What You’ll Gain Hands-on experience designing and delivering enterprise-grade AI solutions . Direct exposure to client interactions, workshops, and presales strategy . Mentorship from senior AI, product, and presales professionals. Opportunity for conversion to a full-time AI Presales Engineer role based on performance. If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role. To know more about Techolution, visit our website: www.techolution.com If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role.To know more about Techolution, visit our website: www.techolution.com About Techolution: Techolution is a next gen AI consulting firm on track to become one of the most admired brands in the world for "AI done right". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. At Techolution, we build custom AI solutions that produce revolutionary outcomes for enterprises worldwide. Specializing in "AI Done Right," we leverage our expertise and proprietary IP to transform operations and help achieve business goals efficiently. We are honored to have recently received the prestigious Inc 500 Best In Business award , a testament to our commitment to excellence. We were also awarded - AI Solution Provider of the Year by The AI Summit 2023, Platinum sponsor at Advantage DoD 2024 Symposium and a lot more exciting stuff! While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Our thought leader, Luv Tulsidas, wrote and published a book in collaboration with Forbes, “Failing Fast? Secrets to succeed fast with AI”. Refer here for more details on the content - https://www.luvtulsidas.com/ Let's explore further! Uncover our unique AI accelerators with us: 1. Enterprise LLM Studio : Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes. 2. AppMod. AI : Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands! 3. ComputerVision. AI : Our ComputerVision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration! 4. Robotics and Edge Device Fabrication : Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services. 5. RLEF AI Platform : Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI. Some videos you wanna watch! Computer Vision demo at The AI Summit New York 2023 Life at Techolution GoogleNext 2023 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION World’s Greatest Visit us @ www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.

As a Talent Acquisition Associate focused on product hiring , you will play a critical role in shaping high-impact product teams by identifying and attracting top-tier talent across Engineering, Design, Product Strategy, and Business Operations. This is a full-cycle recruiting role where you’ll own the process end-to-end—from sourcing to closing candidates—working in close collaboration with Product Owners, Engineering Managers, and Leadership to scale our in-house product teams with speed and precision. Job Title: Talent Acquisition Associate Employment type : Fulltime Location : Hyderabad (Hybrid) Exp Level : 1-3 years of exp only What You’ll Do Own the hiring lifecycle – from sourcing to closing – for product-focused roles (Engineering, Design, Product Strategy, etc.). Partner with Product Owners, Engineering Managers, and Leadership to align on hiring needs and ideal candidate profiles. Source exceptional talent via LinkedIn Recruiter, job boards, niche communities, and referrals . Screen candidates for both technical skills and product mindset , ensuring strong alignment with business goals. Manage interview scheduling, feedback loops, and candidate communications to keep the process fast and transparent. Deliver a WOW candidate experience by building trust and engagement from first touch to final offer. Stay agile and work flexible hours when needed to support global teams and urgent hiring priorities . What We’re Looking For 1–3 years of experience in full-cycle recruitment, preferably in a product-based company or high-growth startup . Proven ability to hire for product-centric roles (e.g., Product Managers, Engineers, Designers). Strong sourcing expertise with LinkedIn Recruiter, job boards, and industry networks . Excellent communication skills with the ability to grasp technical requirements and present them clearly to candidates. A fast learner, adaptable, and collaborative with a problem-solving mindset. Experience hiring in agile or fast-paced environments is a strong plus. Flexibility to adjust working hours to meet evolving product team demands. If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role. To know more about Techolution, visit our website: www.techolution.com If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role.To know more about Techolution, visit our website: www.techolution.com About Techolution: Techolution is a next gen AI consulting firm on track to become one of the most admired brands in the world for "AI done right". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. At Techolution, we build custom AI solutions that produce revolutionary outcomes for enterprises worldwide. Specializing in "AI Done Right," we leverage our expertise and proprietary IP to transform operations and help achieve business goals efficiently. We are honored to have recently received the prestigious Inc 500 Best In Business award , a testament to our commitment to excellence. We were also awarded - AI Solution Provider of the Year by The AI Summit 2023, Platinum sponsor at Advantage DoD 2024 Symposium and a lot more exciting stuff! While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Our thought leader, Luv Tulsidas, wrote and published a book in collaboration with Forbes, “Failing Fast? Secrets to succeed fast with AI”. Refer here for more details on the content - https://www.luvtulsidas.com/ Let's explore further! Uncover our unique AI accelerators with us: 1. Enterprise LLM Studio : Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes. 2. AppMod. AI : Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands! 3. ComputerVision. AI : Our ComputerVision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration! 4. Robotics and Edge Device Fabrication : Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services. 5. RLEF AI Platform : Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI. Some videos you wanna watch! Computer Vision demo at The AI Summit New York 2023 Life at Techolution GoogleNext 2023 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION World’s Greatest Visit us @ www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.

We are seeking a skilled Azure Data Engineer with hands-on experience in modern data engineering tools and platforms within the Azure ecosystem . The ideal candidate will have a strong foundation in data integration, transformation, and migration , along with a passion for working on complex data migration projects . Job Title: Sr. Azure Data Engineer Location: Remote work Work Timings: 5:00 PM to 2:00 AM IST No of Openings: 2 Please Note: This is a pure Azure-specific role . If your expertise is primarily in AWS or GCP , we kindly request that you do not apply . Roles and responsibilities: Lead the migration of large-scale SQL workloads from on-premise environments to Azure, ensuring high data integrity, minimal downtime, and performance optimization. Design, develop, and manage end-to-end data pipelines using Azure Data Factory or Synapse Data Factory to orchestrate migration and ETL processes. Build and administer scalable, secure Azure Data Lakes to store and manage structured and unstructured data during and post-migration. Utilize Azure Databricks , Synapse Spark Pools , Python , and PySpark for advanced data transformation and processing. Develop and fine-tune SQL/T-SQL scripts for data extraction, cleansing, transformation, and reporting in Azure SQL Database , SQL Managed Instances , and SQL Server . Design and maintain ETL solutions using SQL Server Integration Services (SSIS) , including reengineering SSIS packages for Azure compatibility. Collaborate with cloud architects, DBAs, and application teams to assess existing workloads and define the best migration approach. Continuously monitor and optimize data workflows for performance, reliability, and cost-effectiveness across Azure platforms. Enforce best practices in data governance, security, and compliance throughout the migration lifecycle. Required Skills and Qualifications: 3+ years of hands-on experience in data engineering , with a clear focus on SQL workload migration to Azure . Deep expertise in: Azure Data Factory / Synapse Data Factory, Azure Data Lake, Azure Databricks / Synapse Spark Pools, Python and PySpark, SQL SSIS – design, development, and migration to Azure Proven track record of delivering complex data migration projects (on-prem to Azure, or cloud-to-cloud). Experience re-platforming or re-engineering SSIS packages for Azure Data Factory or Azure-SSIS Integration Runtime. Microsoft Certified: Azure Data Engineer Associate or similar certification preferred. Strong problem-solving skills, attention to detail, and ability to work in fast-paced environments. Excellent communication skills with the ability to collaborate across teams and present migration strategies to stakeholders. If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role. To know more about Techolution, visit our website: www.techolution.com If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role.To know more about Techolution, visit our website: www.techolution.com About Techolution: Techolution is a next gen AI consulting firm on track to become one of the most admired brands in the world for "AI done right". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. At Techolution, we build custom AI solutions that produce revolutionary outcomes for enterprises worldwide. Specializing in "AI Done Right," we leverage our expertise and proprietary IP to transform operations and help achieve business goals efficiently. We are honored to have recently received the prestigious Inc 500 Best In Business award , a testament to our commitment to excellence. We were also awarded - AI Solution Provider of the Year by The AI Summit 2023, Platinum sponsor at Advantage DoD 2024 Symposium and a lot more exciting stuff! While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Our thought leader, Luv Tulsidas, wrote and published a book in collaboration with Forbes, “Failing Fast? Secrets to succeed fast with AI”. Refer here for more details on the content - https://www.luvtulsidas.com/ Let's explore further! Uncover our unique AI accelerators with us: 1. Enterprise LLM Studio : Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes. 2. AppMod. AI : Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands! 3. ComputerVision. AI : Our ComputerVision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration! 4. Robotics and Edge Device Fabrication : Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services. 5. RLEF AI Platform : Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI. Some videos you wanna watch! Computer Vision demo at The AI Summit New York 2023 Life at Techolution GoogleNext 2023 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION World’s Greatest Visit us @ www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Employee Platforms team, you will be a seasoned member of an agile team, tasked with designing and delivering trusted, market-leading technology products that are secure, stable, and scalable. Your role involves implementing critical technology solutions across multiple technical domains, supporting various business functions to Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in Python, SQL, advanced GenAI technologies like multimodality (Voice & Images), Agentic AI and ML technologies Highly proficient in coding in one or more languages such as Python, SQL, Java and R programming languages Experience with one or more platform tech stacks such as AWS, Docker, Kubernetes, Data bricks and CI/CD pipelines. Solid understanding of using ML techniques specially in Natural Language Processing (NLP), Knowledge Graph and Large Language Models (LLMs) Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search) Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, application resiliency, and security Preferred Qualifications, Capabilities, And Skills Proficiency in optimizing and tuning AI models to ensure efficient, scalable solutions, with experience in building and deploying ML models on cloud platforms such as AWS and using tools like Sagemaker and EKS. Knowledge of data engineering practices to support AI model training and deployment, along with a strong understanding of machine learning algorithms and techniques—including supervised, unsupervised, and reinforcement learning—and hands-on experience with libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Skills in collaborating with cross-functional teams to integrate generative AI solutions into broader business processes and applications, leveraging advanced LLM techniques such as Agents, Planning, and Reasoning. In-depth understanding of embedding-based search/ranking, recommender systems, graph techniques, and other advanced methodologies to enhance AI solution capabilities.

Job Description A career with us is a journey, not a destination. This could be the next best step in your technical career. Join us if you are excited about shaping the future of technology and driving significant business impact in financial services. Join our team and help us develop game changing, high-quality solutions. As a AI/ML Engineer within our platform operations team, you will be tasked with the design, construction, and maintenance of our AIOps solution. This role demands a profound knowledge of AI/ML technologies, IT infrastructure, and platform engineering. Job Responsibilities Lead the design, development, and deployment of generative AI solutions, ensuring alignment with business objectives and technical requirements. Provide mentorship and guidance to junior engineers. Demonstrate deep expertise in generative AI technologies, contributing to the development of POCs and evaluating new methodologies to enhance AI capabilities. Exhibit strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch. Ensure the delivery of secure, high-quality production code. Utilize experience with React or Angular to create intuitive user interfaces for AI applications. Conduct thorough code reviews to maintain high standards of code quality. Leverage AWS experience to implement best practices in AI integration, ensuring quality, security, and efficiency across AI projects. Identify and implement opportunities to automate processes and enhance the operational stability of generative AI applications and systems. Collaborate with cross-functional teams to evaluate and refine architectural designs for AI systems, ensuring scalability and robustness. Actively participate in communities of practice to promote the adoption and awareness of new generative AI technologies, fostering a culture of continuous innovation. Required Qualifications, Capabilities, And Skills Minimum 7+ years of strong proficiency in Python or Java, with the ability to architect and build complex AI models from scratch. Two years of experience in generative AI development and prompt engineering. Proven experience in system design, application development, testing, and operational stability in AI projects. Minimum of 5+ years of strong experience with React or Angular. 2+ years of AWS experience is a must-have. Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, applied to AI projects. Experience with LLM models and agentic tools. Preferred Qualifications, Capabilities, And Skills Experience with AI model optimization and performance tuning to ensure efficient and scalable AI solutions. Familiarity with data engineering practices to support AI model training and deployment. Ability to collaborate with cross-functional teams to integrate generative AI solutions into broader business processes and applications. Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning. Experience with AI/ML libraries and tools such as TensorFlow, PyTorch, Scikit-learn, and Keras. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Job Description A career with us is a journey, not a destination. This could be the next best step in your technical career. Join us if you are excited about shaping the future of technology and driving significant business impact in financial services. Join our team and help us develop game changing, high-quality solutions. As a AI/ML Engineer within our platform operations team, you will be tasked with the design, construction, and maintenance of our AIOps solution. This role demands a profound knowledge of AI/ML technologies, IT infrastructure, and platform engineering. Job Responsibilities Lead the design, development, and deployment of generative AI solutions, ensuring alignment with business objectives and technical requirements. Provide mentorship and guidance to junior engineers. Demonstrate deep expertise in generative AI technologies, contributing to the development of POCs and evaluating new methodologies to enhance AI capabilities. Exhibit strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch. Ensure the delivery of secure, high-quality production code. Utilize experience with React or Angular to create intuitive user interfaces for AI applications. Conduct thorough code reviews to maintain high standards of code quality. Leverage AWS experience to implement best practices in AI integration, ensuring quality, security, and efficiency across AI projects. Identify and implement opportunities to automate processes and enhance the operational stability of generative AI applications and systems. Collaborate with cross-functional teams to evaluate and refine architectural designs for AI systems, ensuring scalability and robustness. Actively participate in communities of practice to promote the adoption and awareness of new generative AI technologies, fostering a culture of continuous innovation. Required Qualifications, Capabilities, And Skills Minimum 5+ years of strong proficiency in Python or Java, with the ability to architect and build complex AI models from scratch. One year of experience in generative AI development and prompt engineering. Proven experience in system design, application development, testing, and operational stability in AI projects. Minimum of 3+ years of strong experience with React or Angular. 1+ year of AWS experience is a must-have. Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, applied to AI projects. Experience with LLM models and agentic tools. Preferred Qualifications, Capabilities, And Skills Experience with AI model optimization and performance tuning to ensure efficient and scalable AI solutions. Familiarity with data engineering practices to support AI model training and deployment. Ability to collaborate with cross-functional teams to integrate generative AI solutions into broader business processes and applications. Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning. Experience with AI/ML libraries and tools such as TensorFlow, PyTorch, Scikit-learn, and Keras. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Scopely is looking for a Senior 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 For this role we are seeking an experienced and forward-thinking Senior AI Engineer with deep expertise in Artificial Intelligence and Machine Learning to lead the design and development of intelligent systems powering analytics, automation, and immersive in-game experiences. This role involves prototyping, researching emerging AI methods, and delivering scalable solutions that integrate seamlessly into production pipelines and game technologies. Lead the strategic design, development, and deployment of advanced AI systems for Conversational Analytics, Knowledge Bases, QA Automation, and in-game intelligent experiences Architect and implement scalable AI solutions supporting real-time systems, automation pipelines, and player-facing features Drive innovation in: Designing structured protocols for managing AI model context across diverse applications Creating autonomous agents for decision-making and dynamic interaction Advancing AI-driven character behavior, procedural animation, and 3D content pipelines Collaborate across disciplines to translate high-level goals into robust, AI-powered capabilities Mentor and guide engineers, promote best practices, and contribute to architectural decisions shaping long-term technical direction Present research, insights, and prototypes that influence product vision and accelerate the adoption of emerging AI technologies Lead efforts in AI infrastructure, including model deployment workflows, performance tuning, and system observability in production environments What We’re Looking For 5+ years of professional experience in software engineering or a related field, with significant hands-on experience in AI/ML, including 2+ years in a senior role Deep expertise in Python and modern AI frameworks like PyTorch or TensorFlow, with the ability to evaluate trade-offs and performance impacts Strong hands-on experience with FastAPI and designing scalable, high-performance APIs Proven track record in cloud-native development (AWS, GCP or similar) and containerization using Docker/Kubernetes Strong background in software engineering best practices: CI/CD, Git workflows, testing strategies, and production-grade code quality Solid understanding of distributed systems, microservices architectures, and data management with both SQL and NoSQL technologies A strong sense of ownership and product thinking — proactively seeking ways to create value and drive impact Excellent problem-solving and system design skills, with a methodical and scalable approach to complex AI challenges Strong communicator with the ability to explain technical concepts clearly and influence cross-team decisions Bonus Experience with MLOps, reinforcement learning, computer vision, or game AI development Contributions to open-source AI projects or publications in AI-related domains 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. Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

About Us We are a global leader in food & beverage ingredients. Pioneers at heart, we operate at the forefront of consumer trends to provide food & beverage manufacturers with products and ingredients that will delight their consumers. Making a positive impact on people and planet is all part of the delight. With a deep-rooted presence in the countries where our ingredients are grown, we are closer to farmers, enabling better quality, and more reliable, traceable and transparent supply. Supplying products and ingredients at scale is just the start. We add value through our unique, complementary portfolio of natural, delicious and nutritious products. With our fresh thinking, we help our customers unleash the sensory and functional attributes of cocoa, coffee, dairy, nuts and spices so they can create naturally good food & beverage products that meet consumer expectations. And whoever we’re with, whatever we’re doing, we always make it real . Introduction At ofi, we are at the forefront of harnessing cutting-edge technology to revolutionize our operations. We aim to leverage machine learning and artificial intelligence to drive transformative business outcomes and create value for our clients. We are committed to a culture of innovation, diversity, and continuous improvement, where every team member can contribute and thrive. As a ML Engineer, you will be crucial in developing advanced algorithms and models to tackle complex problems. Your expertise will drive the deployment and upkeep of intelligent systems that enhance our products and services. You will work within a collaborative environment, leveraging data and machine learning to influence business strategies and improve operational efficiency. Key Deliverables Deliver end-to-end ML solutions: Architect and implement state-of-the-art models—classification, regression, clustering, reinforcement learning—precisely tuned to solve high-value business problems. Engineer data & experimentation pipelines at scale: Build reliable, self-service pipelines for ingesting, cleaning, transforming, and aggregating data, and orchestrate rigorous offline/online experiments (cross-validation, A/B tests) to benchmark accuracy, latency, and resource cost. Embed ML seamlessly into products: Partner with data scientists, backend/frontend engineers, and designers to wire models into production services and user experiences, ensuring low-friction integration and measurable product impact. Operate, monitor, and evolve models in production: Own the DevOps stack—automated CI/CD, containerization, and cloud deployment—and run real-time monitoring to detect drift, performance degradation, and anomalies, triggering retraining or rollback as needed. Uphold engineering excellence & knowledge sharing: Enforce rigorous code quality, version control, testing, and documentation; lead code reviews and mentoring sessions that raise the team’s ML craftsmanship. Safeguard data privacy, security, and compliance: Design models and pipelines that meet regulatory requirements, apply robust access controls and encryption, and audit usage to ensure ethical and secure handling of sensitive data. Qualification & Skills Formal grounding in computing & AI: Bachelor’s / Master’s in Computer Science, Data Science, or a related quantitative field. Proven production experience: 4+ years shipping, deploying, and maintaining machine-learning models at scale, with a track record of solving complex, real-world problems. End-to-end technical toolkit: Python (Pandas, NumPy), ML frameworks (TensorFlow, PyTorch, scikit-learn), databases (SQL & NoSQL), and big-data stacks (Spark, Hadoop). MLOps & cloud deployment mastery: Containerization (Docker, Kubernetes), CI/CD pipelines, and monitoring workflows that keep models reliable and reproducible in production. Deep applied-ML expertise: Supervised and unsupervised learning, NLP, computer vision, and time-series analysis, plus strong model-evaluation and feature-engineering skills. Collaboration & communication strength: Clear communicator and effective team player who can translate business goals into technical solutions and articulate results to diverse stakeholders. ofi is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, nationality, disability, protected veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants are requested to complete all required steps in the application process including providing a resume/CV in order to be considered for open roles.

About Summon Summon is building France’s next-generation humanoid robots. Our mission is to design and manufacture humanoids that are cost-competitive, reliable, and capable of addressing real labor shortages. We drive the end-to-end development of humanoid hardware and software, from core mechanical design to advanced locomotion, perception, teleoperation, and automation systems. Role - Robotics Engineer / Intern (Locomotion) We are seeking a Robotics Engineer with strong Isaac Sim and hardware-software deployment expertise to design, implement, and test locomotion strategies for humanoid and wheeled bipeds platforms. You will play a central role in enabling stable, robust, and efficient movement; both in simulation and on physical prototypes. Responsibilities Develop locomotion strategies for humanoid and wheeled humanoid robots. Specialize in one of two tracks: Control systems & optimal control methods, or Reinforcement learning approaches in Isaac Sim, with a focus on closing the sim-to-real gap. Build and refine algorithms for balance, gait generation, and stability control. Update reinforcement learning with real world feedback and tests Develop simulation pipelines and validate results on humanoid prototypes. Collaborate with the mechanical and electronics team to integrate locomotion into the full humanoid system. Requirements Strong foundation in either of: control theory, optimal control, or reinforcement learning. Hands-on experience with Isaac Sim and Python. Familiarity with robotics simulation tools, physics engines, or related frameworks. (Preferred) Ability to transfer algorithms from simulation to real hardware (reduce sim2real gap) (Preferred) Experience with humanoid locomotion, bipedal walking, or balance control. What We Offer Work on the core development of humanoid robots in France. Join a small, high-performance team building real hardware from the ground up. Flexible setup: remote-first, with access to our Paris workshop. Exposure to a growing network of industrial and academic partners. Competitive compensation (salary or internship stipend depending on profile).

Looking for a Freelance Agentic AI Engineer to join a team of rockstar developers. The candidate should have a minimum of 4+ yrs. of experience. There are multiple openings. If you're looking for freelance/ part time opportunity (along with your day job) & a chance to work with the top 0.1% of developers in the industry, this one is for you! You will report into IIT'ans/BITS grads with 10+ years of development experience + work with F500 companies (our customers). Company Background - We are a multinational software company that is growing at a fast pace. We have offices in Florida & New Delhi. Our clientele spreads across the US, Australia & APAC. To give you a sense of our growth rate, we've added 70+ employees in the last 6 weeks itself and expect another 125+ by the end of Q2 2025. Responsibilities: Architect and develop agentic AI systems capable of reasoning, planning, and tool usage. Integrate with frameworks like LangChain, Auto-GPT, CrewAI, or custom orchestration layers . Implement memory, goal-setting, and long-term task tracking systems for agents. Connect agents with APIs, databases, web interfaces, and external tools. Design and run experiments to test performance, improve accuracy, and reduce hallucinations. Collaborate with product/design teams to shape user interaction with AI agents. Requirements: Strong understanding of LLMs (GPT-4, Claude, etc.) , prompt engineering, and token context management. Hands-on experience with agentic AI frameworks like LangChain, Auto-GPT, BabyAGI, CrewAI, etc. Proficiency in Python and experience with vector databases (like Pinecone, Weaviate, FAISS). Familiarity with retrieval-augmented generation (RAG) , tool calling, and multi-agent coordination. Creative problem-solver with a mindset for experimentation and iteration. Experience deploying models via APIs or embedding AI into real-world apps. Nice to Have: Experience working with voice or multimodal agents (text + image + audio). Familiarity with knowledge graphs, semantic search, or planning algorithms. Exposure to Reinforcement Learning or feedback-based agent tuning. What we need -~35 hours of work per week. -100% remote from our side -You will be paid out every month. -Min 4yrs of experience -Please apply only if you have a 100% remote job currently -If you do well, this will continue for a long time

1) Should have good knowledge of RCC buildings (high rises) and finishing with minimum 0 years’ experience 2) Should be able to execute works from start to finish. 3) Should have good knowledge of bar bending schedules/Shuttering. Required Candidate profile Experience - 1-3yrs Education – BE/Diploma in Civil Engineering, Should deal with contracts/subcontractors/consultants should have good knowledge of drawing and reading. Loc-Nerul ,Vashi and Panvel

DESCRIPTION We are looking for a Risk Specialist to join our BAR team specializing in quality audits, video verifications, investigations, risk management, and future leaders who will be the foundation of our team as we scale and grow. Key job responsibilities 1. Performs audits based on high judgement to identify hard/soft defects or process gaps. 2. Performs peer review of tasks/deliverables wherever applicable. 3. Creates, updates learning modules and support business owners in driving improvements to ensure defect reduction. 4. Identifies & manages small to mid-scale process improvement opportunities at process or team level. 5. Communicates to business leaders on pre-defined guidelines with data and resolves issues with reduced guidance. 6. Work in sync with Data resources and create daily / weekly / monthly quality reports for the process and team based on set requirements. 7. Tracks and reports progress on key goals specific to the program. 8. Adheres to set targets on productivity and quality. 9. Manages escalations on routine and predefined tasks with minimal supervision. 10. Learns new tools / SOPs / processes with minimal supervision. 11. Leveraging and integrating Large Language Models (LLMs) and Gen-AI tools into process design to maximize return on investment and minimize costs. About the team Business Assessment and Reinforcement (BAR) owns risk mining and audit for high judgement complex decisions including one-way door inventory disposal and funds withholding decisions that routinely end in litigation. We support SPIV & FRM orgs to drive improvements in investigation judgement and accuracy in enforcement decisions along with driving innovation and business excellence based on inspection of operational processes and requirements from our partner teams. We implement ops efficiency solutions on behalf for ops and program teams by identifying and fixing gaps where confirmed bad actors have a good experience or good sellers have a bad experience. BASIC QUALIFICATIONS 18 months experience in POE, Authentication Team, Abuse Prevention or fraud related team 1+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience Experience with SQL and Excel Bachelor's degree or equivalent Experience handling confidential information PREFERRED QUALIFICATIONS Demonstrates high degree of ability to analyze data, using the data to drive decision making and implement effective resolutions Advanced skills using Microsoft Excel in a business environment 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.

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Sr Generative AI Specialist to join our team in Chennai, Tamil Nādu (IN-TN), India (IN). JD : Job Title : Senior Generative AI Specialist ( 7+) About the Role :We're looking for a visionary Senior Generative AI Specialist to who can work as niche programmer to integrate & automate the Contact Center integration and drive the automation around agent assist. The candidate should have good understanding of Data Science, and different aspects related to Data sampling strategies to group the unstructured data. This involves using algorithms to analyze data, identify patterns, and build or tune models around that. Key aspects include understanding different learning paradigms (supervised, unsupervised, reinforcement), data preprocessing, model selection and evaluation, and the iterative nature of model refinement & evaluation.The candidate to work with structured and unstructured data to narrow on the data samples - for training, test etc , process the data programmatically and integrate with LLM to unlock the full potential of advancement in generative ai technologies in banking use cases. Responsibilities Dive Data-driven insights by sampling the data using different strategies like Supervised & un-Supervised leading, reinforcement, deep learning etc.Programmatically using Python pre & post process the data - involves cleaning, transforming, and preparing the data for use in machine learning modelsIntegrating the processed data with generative AI models to deliver business use casesProvide technical leadership and oversight to developers engaged in Python, model integration and data sampling Skill: Strong Python programming skills, including data manipulation with libraries like Pandas, NumPy and scikit-learnSound knowledge of machine learning frameworks like TensorFlow and PyTorchWorking exposure in the framework like Langchain, Langraph for integrating with large language modelsExposure of working with LLM offering - Google Model garden, Amazon Bedrock etc from one of the cloud provider - Google, AWS, Azure etcProficient in prompt engineering and understand different strategies like zero-shot, Chain-Of-Thought etcStrong knowledge of Data science and different sampling techniques to derive the data subset and draw conclusions Preferred: Experience in working with Gemeni and Vertex StudioIndustry certification in Python or in the field of Data science About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. 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Job Title: Civil Site Engineer Job Location: MAITHA, KANPUR DEHAT, UTTAR PRADESH Department: Construction / Project Execution Employment Type: Full-time Job Summary: We are seeking a skilled and detail-oriented Civil Site Engineer to manage, supervise, and execute construction activities at project sites. The candidate will be responsible for ensuring work quality, safety, and timely completion of projects as per design, drawings, and specifications. Key Responsibilities: Supervise day-to-day construction activities at the site. Execute work as per drawings, specifications, and quality standards. Monitor labor, material, and equipment usage to ensure cost efficiency. Prepare daily site reports, progress reports, and work schedules. Coordinate with contractors, subcontractors, and vendors for smooth site operations. Ensure compliance with safety, health, and environmental guidelines at the site. Conduct quality checks for concrete, reinforcement, shuttering, finishing, etc. Assist in preparing bar bending schedules (BBS), measurement sheets, and bill verification. Resolve technical issues and ensure timely escalation of problems to project managers. Liaise with architects, consultants, and clients for site inspections and approvals. Required Qualifications & Skills: Diploma / B.E. / B.Tech in Civil Engineering. Minimum 2–5 years of site execution experience in building/road/infrastructure projects. Strong knowledge of construction drawings, methods, and building codes. Proficiency in AutoCAD, MS Office, and project management tools. Excellent problem-solving, communication, and leadership skills. Ability to handle multiple tasks and work under deadlines. Work Environment: Site-based role, requiring daily presence at construction locations. Involves coordination with multiple stakeholders (engineers, contractors, laborers, and clients). Compensation: Salary: 15k to 20k per month Benefits: [PF/ESI/Accommodation/Travel, as per company policy]. Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Benefits: Food provided Health insurance Provident Fund Work Location: In person

Develop and optimize machine learning models for classification, regression, clustering, and recommendation systems. · Implement deep learning architectures using frameworks like TensorFlow, PyTorch, or Keras. · Preprocess and analyze large datasets to extract meaningful insights. · Fine-tune models for performance, accuracy, and efficiency. · Deploy ML models into production environments using cloud platforms (AWS, Azure, GCP) or edge devices. · Collaborate with data engineers to build robust data pipelines. · Conduct research on emerging AI/ML technologies and apply them to real-world problems. · Write clean, maintainable, and well-documented code following best practices. · Perform model evaluation, A/B testing, and error analysis to improve performance. · Work with stakeholders to understand business requirements and translate them into AI solutions. Requirements: 2-4 years of experience in AI/ML development. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Keras. Strong understanding of Machine Learning algorithms, deep learning architectures, and statistical modeling. Experience with data preprocessing, feature engineering, and model optimization. Familiarity with big data technologies (Spark, Hadoop) and databases (SQL, NoSQL). Understanding of NLP, computer vision, or reinforcement learning is a plus. Ability to work both independently and collaboratively in a fast-paced, agile environment. You have an eye for detail, esp. around user experience and secure coding practices. A strong drive to learn and explore. The Ideal Candidate: Is by nature highly team-oriented and collaborative. Believes the best work can be achieved when a talented group of smart people work effectively together. Has proper understanding of semantic markup and knows how to build interactive pieces that comply with web accessibility standards. Has personal projects or frontend related code contributions to open-source community and actively publishes on web development related development topics

Role Overview: We are looking for a Backend Expert on site role (New Delhi/Faridabad) with a strong foundation in algorithmic trading, quantitative finance, and trading bot development. You will work closely with our quant researchers, traders, and AI engineers to design, build, and deploy scalable, real-time trading systems across various platforms including MetaTrader (MQL5), TradingView (Pine Script), and other broker APIs. Key Responsibilities: Design and develop robust backend systems for real-time trading execution and data processing Build and maintain custom trading bots using AI/ML and deep learning models Integrate with broker APIs (e.g., MetaTrader 5, Binance, Interactive Brokers) Implement strategies in MQL5, Pine Script, and other scripting tools Optimize systems for low-latency execution and high-frequency trading (HFT) environments Collaborate with quant team to backtest, validate, and deploy proprietary strategies Handle large-scale data ingestion, time-series analysis, and signal generation Maintain system reliability, logs, alerts, and risk controls for 24/7 trading Must-Have Skills: Strong backend development experience (Python, Node.js, Golang,Rust or similar) Hands-on experience with MQL5 and Pine Script (TradingView) Deep understanding of algorithmic trading and quantitative strategies Experience building AI/ML-based trading systems using frameworks like TensorFlow, PyTorch, or Scikit-learn Familiarity with broker APIs, FIX/REST/WebSocket protocols Solid understanding of trading indicators, technical analysis, and market microstructure Experience with backtesting frameworks and financial datasets Good to Have: Knowledge of Reinforcement Learning or Deep Q-Learning applied to trading Experience with cloud platforms (AWS/GCP), Docker, and CI/CD pipelines Exposure to time-series forecasting and feature engineering for financial data Background in mathematics, statistics, or financial engineering

As a Talent Acquisition Associate focused on product hiring , you will play a critical role in shaping high-impact product teams by identifying and attracting top-tier talent across Engineering, Design, Product Strategy, and Business Operations. This is a full-cycle recruiting role where you’ll own the process end-to-end—from sourcing to closing candidates—working in close collaboration with Product Owners, Engineering Managers, and Leadership to scale our in-house product teams with speed and precision. Job Title: Talent Acquisition Intern Employment type :Internship + PPO Location : Hyderabad (Hybrid) What You’ll Be Doing: Take complete ownership of the end-to-end recruitment process for product-centric roles across Engineering, Design, and Product Strategy functions Partner closely with hiring managers to understand team needs, product roadmaps, and ideal candidate profiles Actively source top talent via LinkedIn, job boards, communities, and internal referrals Screen and assess candidates for both technical proficiency and product mindset , ensuring strong alignment with our product development goals Schedule and coordinate interviews, gather feedback, and manage communication loops to move candidates quickly through the funnel Drive a seamless, high-touch candidate experience , from initial contact to offer acceptance Work flexible hours as needed to support distributed product teams and urgent hiring spikes If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role. To know more about Techolution, visit our website: www.techolution.com If you believe you are qualified and are looking forward to setting your career on a fast-track, apply by submitting a few paragraphs explaining why you believe you are the right person for this role.To know more about Techolution, visit our website: www.techolution.com About Techolution: Techolution is a next gen AI consulting firm on track to become one of the most admired brands in the world for "AI done right". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better human experience for the communities they serve. At Techolution, we build custom AI solutions that produce revolutionary outcomes for enterprises worldwide. Specializing in "AI Done Right," we leverage our expertise and proprietary IP to transform operations and help achieve business goals efficiently. We are honored to have recently received the prestigious Inc 500 Best In Business award , a testament to our commitment to excellence. We were also awarded - AI Solution Provider of the Year by The AI Summit 2023, Platinum sponsor at Advantage DoD 2024 Symposium and a lot more exciting stuff! While we are big enough to be trusted by some of the greatest brands in the world, we are small enough to care about delivering meaningful ROI-generating innovation at a guaranteed price for each client that we serve. Our thought leader, Luv Tulsidas, wrote and published a book in collaboration with Forbes, “Failing Fast? Secrets to succeed fast with AI”. Refer here for more details on the content - https://www.luvtulsidas.com/ Let's explore further! Uncover our unique AI accelerators with us: 1. Enterprise LLM Studio : Our no-code DIY AI studio for enterprises. Choose an LLM, connect it to your data, and create an expert-level agent in 20 minutes. 2. AppMod. AI : Modernizes ancient tech stacks quickly, achieving over 80% autonomy for major brands! 3. ComputerVision. AI : Our ComputerVision. AI Offers customizable Computer Vision and Audio AI models, plus DIY tools and a Real-Time Co-Pilot for human-AI collaboration! 4. Robotics and Edge Device Fabrication : Provides comprehensive robotics, hardware fabrication, and AI-integrated edge design services. 5. RLEF AI Platform : Our proven Reinforcement Learning with Expert Feedback (RLEF) approach bridges Lab-Grade AI to Real-World AI. Some videos you wanna watch! Computer Vision demo at The AI Summit New York 2023 Life at Techolution GoogleNext 2023 Ai4 - Artificial Intelligence Conferences 2023 WaWa - Solving Food Wastage Saving lives - Brooklyn Hospital Innovation Done Right on Google Cloud Techolution featured on Worldwide Business with KathyIreland Techolution presented by ION World’s Greatest Visit us @ www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.