2079 Reinforcement Jobs - Page 33

Location: Mumbai, HO Key responsibilities: Review of structural schemes for various residential projects in terms of structural efficiency and buildability In-house peer review of structural engineering deliverables from consultants - design basis reports, geotechnical report, analysis models, design calculations, reinforcement detailing & GFC drawings. Literature survey/study on structural analysis & design advancements, national and international codes/standards, current global trends, new technology etc. Cross-functional collaboration to support costing, contracts and procurement, planning, quality, safety etc. to have control over project cost, time, quality and safety. Review of retrofitting scheme. Engineering management process development In-house work on organizational level initiatives such as standardization, cost optimization, reduction of construction time etc. Structural quantity validation Providing expert advice in Structural systems, design and detailing of various structural elements – isolated/combined footings, raft, pile, pile-raft, columns, shear walls, slabs, beams, retaining walls etc. In-depth study of design aspects and relative advantages of different construction methodologies & creating guidelines - RCC, structural steel, precast, composite construction etc. Managing external consultants and collaboration with cross-functional teams. Design and detailing standardization Comparison of different structural systems like framed structure, shear wall, flat slab, flat plate, waffle slab and arriving at cost effective alternative Evaluating new construction technology and materials. Compliance with company defined guidelines and processes. Adherence to project timelines Identification of processes/procedures in own work area that need improvement. Recommendation of process improvement ideas to streamline efficiency/costs/productivity. Implementation of process improvement activities in own work area. Qualifications & Experience:: Applicants should be M. Tech/M.E (structures) OR B.Tech/B.E Civil from a reputed institution. 5 to 12 years with relevant experience in managing Structural design for high-rise residential/ township projects. Hands-on experience with software such as ETABS, SAFE, STAAD, BIM 360 etc. Knowledge of value engineering in design of structures at various design stages

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

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

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: Azure Data Engineer Location: Remote work Work Timings: 2:00 PM – 11:00 PM IST No of Openings: 3 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 . Key Responsibilities: Design, develop, and maintain data pipelines using Azure Data Factory / Synapse Data Factory to orchestrate and automate data workflows. Build and manage data lakes using Azure Data Lake , enabling secure and scalable storage for structured and unstructured data. Lead and support data migration initiatives (on-prem to cloud, cloud-to-cloud), ensuring minimal disruption and high integrity of data. Perform advanced data transformations using Python , PySpark , and Azure Databricks or Synapse Spark Pools . Develop and optimize SQL / T-SQL queries for data extraction, manipulation, and reporting across Azure SQL services. Design and maintain ETL solutions using SSIS , where applicable. Collaborate with cross-functional teams to understand requirements and deliver data-driven solutions. Monitor, troubleshoot, and continuously improve data workflows to ensure performance, reliability, and scalability. Uphold best practices in data governance, security, and compliance. Required Skills and Qualifications: 2+ years of experience as a Data Engineer, with strong emphasis on Azure technologies. Proven expertise in: Azure Data Factory / Synapse Data Factory Azure Data fabric Azure Data Lake Azure Databricks / Synapse Spark Python and PySpark SQL / T-SQL SSIS Demonstrated experience in data migration projects and eagerness to take on new migration challenges. Microsoft Certified: Azure Data Engineer Associate certification preferred. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. 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.

About Zupee We are the biggest online gaming company with largest market share in the Indian gaming sector’s largest segment — Casual & Boardgame. We make skill-based games that spark joy in the everyday lives of people by engaging, entertaining, and enabling earning while at play. In the three plus years of existence, Zupee has been on a mission to improve people’s lives by boosting their learning ability, skills, and cognitive aptitude through scientifically designed gaming experiences. Zupee presents a timeout from the stressful environments we live in today and sparks joy in the lives of people through its games. Zupee invests in people and bets on creating excellent user experiences to drive phenomenal growth. We have been running profitable at EBT level since Q3, 2020 while closing Series B funding at $102 million, at a valuation of $600 million. Zupee is all set to transform from a fast-growing startup to a firm contender for the biggest gaming studio in India.. ABOUT THE JOB Role: Lead Machine Learning Engineer Reports to: Manager- Data Scientist Location: Gurgaon Job Summary: We seek a an individual to drive innovation in AI ML-based algorithms and personalized offer experiences. This role will focus on designing and implementing advanced machine learning models, including reinforcement learning techniques like Contextual Bandits, Q-learning, SARSA, and more. By leveraging algorithmic expertise in classical ML and statistical methods, you will develop solutions that optimize pricing strategies, improve customer value, and drive measurable business impact. Qualifications: - 6+ years in machine learning, 4+ years in reinforcement learning, recommendation systems, pricing algorithms, pattern recognition, or artificial intelligence. - Expertise in classical ML techniques (e.g., Classification, Clustering, Regression) using algorithms like XGBoost, Random Forest, SVM, and KMeans, with hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization. - Proficiency in handling tabular data, including sparsity, cardinality analysis, standardization, and encoding. - Proficient in Python and SQL (including Window Functions, Group By, Joins, and Partitioning). - Experience with ML frameworks and libraries such as scikit-learn, TensorFlow, and PyTorch - Knowledge of controlled experimentation techniques, including causal A/B testing and multivariate testing. Key Responsibilities Algorithm Development: Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing and personalized recommendations. Reinforcement Learning Expertise: Develop and apply RL techniques, including Contextual Bandits, Q-learning, SARSA, and concepts like Thompson Sampling and Bayesian Optimization, to solve pricing and optimization challenges. AI Agents for Pricing: Build AI-driven pricing agents that incorporate consumer behavior, demand elasticity, and competitive insights to optimize revenue and conversion. Rapid ML Prototyping: Experience in quickly building, testing, and iterating on ML prototypes to validate ideas and refine algorithms. Feature Engineering: Engineer large-scale consumer behavioral feature stores to support ML models, ensuring scalability and performance. Cross-Functional Collaboration: Work closely with Marketing, Product, and Sales teams to ensure solutions align with strategic objectives and deliver measurable impact. Controlled Experiments: Design, analyze, and troubleshoot A/B and multivariate tests to validate the effectiveness of your models. Required Skills and Experience UPLIFT MODELING BAYESIAN OPTIMIZATION MULTI-ARMED BANDITS CONTEXTUAL BANDITS PRICING OPTIMIZATION REINFORCEMENT LEARNING

About Zupee We are the biggest online gaming company with largest market share in the Indian gaming sector’s largest segment — Casual & Boardgame. We make skill-based games that spark joy in the everyday lives of people by engaging, entertaining, and enabling earning while at play. In the three plus years of existence, Zupee has been on a mission to improve people’s lives by boosting their learning ability, skills, and cognitive aptitude through scientifically designed gaming experiences. Zupee presents a timeout from the stressful environments we live in today and sparks joy in the lives of people through its games. Zupee invests in people and bets on creating excellent user experiences to drive phenomenal growth. We have been running profitable at EBT level since Q3, 2020 while closing Series B funding at $102 million, at a valuation of $600 million. Zupee is all set to transform from a fast-growing startup to a firm contender for the biggest gaming studio in India.. ABOUT THE JOB Role: Senior Machine Learning Engineer Reports to: Manager- Data Scientist Location: Gurgaon Job Summary: We seek a an individual to drive innovation in AI ML-based algorithms and personalized offer experiences. This role will focus on designing and implementing advanced machine learning models, including reinforcement learning techniques like Contextual Bandits, Q-learning, SARSA, and more. By leveraging algorithmic expertise in classical ML and statistical methods, you will develop solutions that optimize pricing strategies, improve customer value, and drive measurable business impact. Qualifications: - 3+ years in machine learning, 2+ years in reinforcement learning, recommendation systems, pricing algorithms, pattern recognition, or artificial intelligence. - Expertise in classical ML techniques (e.g., Classification, Clustering, Regression) using algorithms like XGBoost, Random Forest, SVM, and KMeans, with hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization. - Proficiency in handling tabular data, including sparsity, cardinality analysis, standardization, and encoding. - Proficient in Python and SQL (including Window Functions, Group By, Joins, and Partitioning). - Experience with ML frameworks and libraries such as scikit-learn, TensorFlow, and PyTorch - Knowledge of controlled experimentation techniques, including causal A/B testing and multivariate testing. Key Responsibilities - Algorithm Development: Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing and personalized recommendations. - Reinforcement Learning Expertise: Develop and apply RL techniques, including Contextual Bandits, Q-learning, SARSA, and concepts like Thompson Sampling and Bayesian Optimization, to solve pricing and optimization challenges. -AI Agents for Pricing: Build AI-driven pricing agents that incorporate consumer behavior, demand elasticity, and competitive insights to optimize revenue and conversion. - Rapid ML Prototyping: Experience in quickly building, testing, and iterating on ML prototypes to validate ideas and refine algorithms. -Feature Engineering: Engineer large-scale consumer behavioral feature stores to support ML models, ensuring scalability and performance. -Cross-Functional Collaboration: Work closely with Marketing, Product, and Sales teams to ensure solutions align with strategic objectives and deliver measurable impact. -Controlled Experiments: Design, analyze, and troubleshoot A/B and multivariate tests to validate the effectiveness of your models. Required Skills and Experience UPLIFT MODELING BAYESIAN OPTIMIZATION MULTI-ARMED BANDITS CONTEXTUAL BANDITS PRICING OPTIMIZATION REINFORCEMENT LEARNING

We are seeking a talented Research Engineer to join our AI team and drive cutting-edge research in artificial intelligence and machine learning. This role combines deep technical research with practical implementation, requiring both theoretical knowledge and hands-on engineering skills to develop novel AI systems and advance the state of the art. Key Responsibilities Research & Development Conduct original research in AI/ML domains such as deep learning, natural language processing, computer vision, reinforcement learning. Design and implement novel algorithms, architectures, and methodologies Stay current with latest research developments and identify promising directions for investigation Technical Implementation Algorithm Implementation: Translate algorithms and models into production-ready software solutions, ensuring scalability and efficiency. Data Preparation and Analysis: Collaborate with data scientists to preprocess and analyze large datasets, ensuring data quality and relevance for training AI models. System Integration: Integrate AI solutions with existing systems and applications, ensuring seamless functionality and performance. Performance Optimization: Monitor and optimize AI models for performance, accuracy, and scalability, making adjustments as needed. Required Qualifications: Education & Experience - 3+ years of research experience in AI/ML, either in academia or industry Technical Skills: Expert-level programming skills in Python, with experience in PyTorch, TensorFlow, or JAX Deep understanding of machine learning fundamentals, statistics, and optimization Experience with distributed computing, cloud platforms (AWS, GCP, Azure) Proficiency in mathematical modeling and algorithm design Experience with version control, CI/CD, and software engineering best practices Research Capabilities Proven ability to formulate research questions and design appropriate methodologies Strong analytical and problem-solving skills Experience with experimental design, statistical analysis, and result interpretation Ability to translate research ideas into practical implementations Preferred Qualifications Experience in specific AI domains relevant to our focus areas Track record of successful research-to-product transitions Experience with MLOps, model deployment, and production ML systems Knowledge of hardware acceleration (GPUs, TPUs) and model optimization Experience with large-scale data processing and analysis Strong written and verbal communication skills [Immediate Joiners Preferred] Reach Out to us at: richa.j@vmstechs.com

🌐 We're Hiring: Advanced AI Researchers & Engineers | Join JTW's Innovation Team At JohnTuringWatson Software Solutions Pvt Ltd (JTW) , we're building the future of AI—and we're looking for exceptional talent to help lead it. Our AI Research Lab is actively working on cutting-edge solutions in Agentic AI , Edge Intelligence , and Quantum Computing , and we’re expanding our team. If you're passionate about solving real-world problems using AI, Machine Learning , and next-gen computation models , we’d love to connect with you. Experience Level: 2-5 years of experience. 🔍 We’re Looking for Talent With Expertise in One or More of the Following Areas: Agentic AI – Designing autonomous, reasoning-driven systems Edge AI – Building low-latency, on-device inference models Quantum Computing – Practical experience with IBM Quantum or Azure Quantum Quantum Development Frameworks – Proficiency in Qiskit , Q# , or Cirq Python (required) for ML/AI pipelines and quantum programming Deep Learning – Using TensorFlow, PyTorch, or Hugging Face frameworks NLP and LLMs – Experience with transformer architectures , prompt engineering, or fine-tuning models ML Ops – Knowledge in model deployment, performance tuning , and monitoring Strong foundations in Mathematics, Probability, Linear Algebra , and Statistics 🧠 Ideal Candidate Profile: Solid understanding of AI/ML concepts , including supervised, unsupervised, and reinforcement learning Ability to research, prototype, and scale AI models into production Comfortable working in a cross-functional R&D environment Prior experience in contributing to AI publications, open-source projects, or patents (a plus) 🚀 Why Join JTW? Work on industry-defining projects with an elite research team Exposure to emerging domains like Agentic AI , Edge-native models , and Quantum-AI fusion A collaborative, innovation-first culture with global delivery reach Access to dedicated infrastructure, including AI model labs and quantum simulators 📩 Ready to make an impact? Send your resume to jobs@johnturingwatson.ai Explore more at www.johnturingwatson.ai

About the Role: We are looking for experienced and innovative Data Scientists with a strong foundation in Artificial Intelligence, Machine Learning, and Google Cloud Platform (GCP) . The ideal candidate will have hands-on experience with LLMs, chatbot frameworks , and full-stack web development to help us drive intelligent and scalable solutions across our products. Key Responsibilities: Design and deploy AI/ML solutions using GCP’s AI/ML services Develop LLM-based applications , optimize prompts, and evaluate outputs Build intelligent chatbots and conversational AI systems Create machine learning models using supervised, unsupervised, and reinforcement learning Use Python and libraries like TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, NumPy Build dashboards and visualizations with Matplotlib and Seaborn Develop and maintain REST APIs using Flask, Django, or FastAPI Collaborate on front-end interfaces using React or Angular with CSS Write and optimize SQL queries for data extraction and transformation Partner with cross-functional teams to deliver data-driven insights Required Skills & Tools: Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras SQL, GCP (Vertex AI, BigQuery, Cloud Functions, etc.) Chatbot frameworks, LLMs (OpenAI, PaLM, Claude, etc.) Flask / Django / FastAPI React / Angular / CSS Prompt engineering, model evaluation, data visualization Excellent problem-solving and communication skills Educational Qualification: Bachelor's or Master’s in Computer Science, Statistics, Mathematics , or a related field Why Join Us? Work on next-gen AI/ML projects with global impact Be part of a highly collaborative and innovation-driven team Leverage cutting-edge tools and large language models in real-world applications Competitive compensation and flexible work environment Ready to Apply? If you’re passionate about AI and want to work at the cutting edge of LLMs, cloud, and intelligent automation— apply now or reach out directly via LinkedIn message.

Site Engineer – Civil (Drainage, Retaining Wall & Labour Management) Location: Andaman and Nicobar Islands, Experience: around 10 years preferred Qualification: B.E./Diploma in Civil Engineering Key Responsibilities Drain Construction Interpret and execute drainage layout drawings and specifications Supervise excavation, pipe laying, manhole construction, and backfilling Ensure slope, alignment, and levels are as per design Coordinate with surveyors and quality teams for inspections Retaining Wall Construction Oversee shuttering, reinforcement, and concreting activities Ensure structural stability and adherence to design standards Monitor curing and waterproofing processes Maintain safety and quality control on site Labour Mobilization & Management Plan daily workforce requirements based on project schedule Allocate tasks and monitor productivity of skilled and unskilled labour Coordinate with contractors and subcontractors for manpower supply Maintain attendance, work logs, and resolve on-site labour issues General Site Duties Prepare daily progress reports and update project managers Ensure compliance with health, safety, and environmental regulations Manage materials, tools, and equipment efficiently Liaise with consultants, vendors, and local authorities as needed Skills & Competencies Strong knowledge of civil construction practices Ability to read and interpret technical drawings Leadership and team coordination Problem-solving and decision-making on site Job Type: Full-time Pay: ₹30,000.00 - ₹50,000.00 per month Schedule: Day shift Experience: Civil engineering: 10 years (Preferred) Location: Port Blair, Andaman and Nicobar Islands (Required) Shift availability: Day Shift (Preferred) Work Location: In person

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

Job Summary XtraNet Technologies is seeking a highly experienced and results-oriented AI/ML Ops Professional to join our dynamic team in Gandhinagar. In this critical role, you will be instrumental in bridging the gap between our AI/ML development efforts and their seamless deployment and operationalization. You will leverage your deep expertise in developing, deploying, and managing machine learning models and algorithms to solve complex business challenges across diverse domains. As a sector expert, you will provide invaluable guidance on R&D initiatives and the strategic application of AI/ML technologies, including Natural Language Processing (NLP) and Generative AI, to enhance our service offerings and drive innovation for our clients. What You'll Do Lead and participate in the end-to-end lifecycle of machine learning models, from ideation and experimentation to deployment and monitoring in production environments. Design, develop, and implement scalable and efficient machine learning models and algorithms using relevant programming languages (e.g., Python), frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and tools. Develop robust deployment pipelines using MLOps best practices and tools to ensure reliable and automated deployment of AI/ML models. Implement model versioning, rollback strategies, and continuous integration/continuous deployment (CI/CD) for AI/ML workflows. Establish and maintain robust monitoring systems to track the performance, health, and drift of deployed AI/ML models. Implement alerting mechanisms and proactive measures to identify and address potential issues in production AI/ML systems. Optimize the performance and scalability of deployed AI/ML models and infrastructure. Troubleshoot and resolve issues related to deployed AI/ML models and their underlying infrastructure. Serve as a subject matter expert in Artificial Intelligence and Machine Learning, providing guidance and insights to internal teams and clients on the application of AI/ML technologies. Conduct research and development (R&D) activities to explore and evaluate new AI/ML techniques, tools, and platforms, particularly in areas like Natural Language Processing (NLP) and Generative AI. Provide strategic guidance on the usage and implementation of NLP technologies (e.g., text classification, sentiment analysis, information extraction, language modeling) and Generative AI models for various business applications. Stay abreast of the latest advancements in AI/ML, MLOps, and related fields, and proactively share knowledge and best practices within the organization. Leverage your proven track record in solving complex business problems using AI/ML in diverse domains such as natural language processing, computer vision, or reinforcement learning Collaborate with business analysts and domain experts to understand business challenges and identify opportunities for AI/ML-driven solutions. Lead the exploration and prototyping of innovative AI/ML solutions to address client needs and enhance our service offerings. Work closely with data scientists, software engineers, infrastructure teams, and business stakeholders throughout the AI/ML lifecycle. Effectively communicate technical concepts and findings to both technical and non-technical audiences. Participate in technical design discussions and contribute to the overall AI/ML strategy and architecture. Document AI/ML workflows, deployment processes, and monitoring : Educational Background MCA (Master of Computer Applications) OR BE / B.Tech with specialization in Computers / Electronics & Communication (or equivalent) OR M.Sc. in Computer Science / IT Professional Experience Minimum of 7+ years of hands-on experience in developing, deploying, and managing machine learning models and algorithms in production environments. Technical Skills Strong proficiency in programming languages relevant to AI/ML (e.g., Python). Extensive experience with popular AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, Transformers). Solid understanding of machine learning algorithms and techniques across various domains (e.g., supervised learning, unsupervised learning, deep learning, reinforcement learning). Proven experience in developing and deploying NLP models (e.g., using libraries like NLTK, SpaCy, Hugging Face Transformers) and understanding of NLP concepts (e.g., text preprocessing, embeddings, sequence modeling). Familiarity with Generative AI models (e.g., GANs, VAEs, Large Language Models) and their potential applications. Strong understanding of MLOps principles and best practices, including model deployment, monitoring, and lifecycle management. (ref:hirist.tech)

Job Title : Data : Bachelor's or master's degree in computer science, Statistics, Mathematics, or a related field Experience : 6 To 10 Year(s) Skill set : Artificial Intelligence / Machine Learning Domain Knowledge Strong working knowledge of the Google Cloud Platform (GCP) and its AI/ML services Proven experience in chatbot creation and development using relevant frameworks Proven experience in developing and implementing machine learning models. Strong programming skills in Python, with expertise in Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras , Matplotlib and Seaborn. Proficiency in SQL querying and database management. Experience with front-end frameworks such as React or Angular and CSS. Experience with back-end frameworks such as Django, Flask, or FastAPI. Experience in prompt engineering for large language models (LLMs), including prompt design, optimization, and evaluation. Strong problem-solving skills and the ability to translate business requirements into technical solutions. Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical audiences. Job Description Deploy and manage AI/ML applications on the Google Cloud Platform (GCP) Design, develop, and implement conversational AI solutions using various chatbot frameworks and platforms Design, develop, and optimize prompts for large language models (LLMs) to achieve desired outputs Develop and implement machine learning models using supervised, unsupervised, and reinforcement learning algorithms. Utilize Python with Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and Keras to build and deploy machine learning solutions. Create visualizations using Matplotlib and Seaborn to communicate insights Write and optimize SQL queries to extract and manipulate data from various databases. Develop and maintain web applications and APIs using Python frameworks such as Django, Flask, or FastAPI. Build user interfaces using JavaScript frameworks such as React or Angular, along with CSS. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate complex technical concepts and findings to non-technical stakeholders through presentations and reports. (ref:hirist.tech)

We are looking for a talented AI Developer to join our growing team. As an AI Developer, you will be responsible for designing, developing, and implementing AI solutions that meet our clients' needs. You Will Collaborate With Cross-functional Teams To Integrate AI Models Into Our Products And Services, Leveraging Cutting-edge Technologies To Drive Innovation And Deliver Impactful Design and develop AI models and algorithms to solve business problems. Implement machine learning and deep learning algorithms for various applications. Collaborate with data scientists and engineers to preprocess data and build datasets for training models. Integrate AI models into software applications and platforms. Optimize AI models for performance, scalability, and efficiency. Conduct research to stay current with the latest advancements in AI and machine learning technologies. Test and validate AI models to ensure accuracy and reliability. Deploy AI models into production environments and monitor their performance. Collaborate with product managers and stakeholders to understand project requirements and propose AI solutions. Requirements Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; Master's degree or PhD preferred. Proficiency in programming languages such as Python, Java, or C++. Hands-on experience with AI frameworks and libraries (e., TensorFlow, PyTorch, scikit-learn). Strong understanding of machine learning algorithms and techniques (e., supervised learning, unsupervised learning, reinforcement learning). Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of cloud platforms (e., AWS, Azure, GCP) and familiarity with deploying AI models in cloud environments. Excellent problem-solving skills and ability to work independently as well as part of a team. Strong communication skills and ability to collaborate effectively with cross-functional teams. Preferred Qualifications Experience with natural language processing (NLP) and computer vision applications. Familiarity with big data technologies (e., Hadoop, Spark) for handling large-scale datasets. Understanding of DevOps practices and experience with CI/CD pipelines. Publications or contributions to the AI and machine learning community (e., research papers, open-source projects). (ref:hirist.tech)

1. Reinforcement Design & Detailing OversightSupervise the preparation of reinforcement shop drawings and BBS for structural elements (slabs, beams, columns, footings, retaining walls, etc.). Ensure correct interpretation of structural drawings, and verify rebar detailing aligns with IS:456, IS:2502, and relevant codes. 2. Technical CoordinationCoordinate with structural consultants, architects, and internal design teams to resolve reinforcement-related issues or conflicts. Provide guidance and technical clarifications to site teams remotely. 3. BBS Preparation & ReviewCheck and approve BBS prepared by junior engineers or draftsmen. Optimize rebar usage to reduce wastage while maintaining structural integrity and safety. 4. Documentation & Quality AssuranceMaintain logs of issued drawings, revision histories, and BBS submissions for all projects. Implement QA/QC processes in detailing and scheduling of rebar across projects. 5. Team Management & MentoringLead a small team of junior reinforcement engineers and CAD technicians. Provide training on reinforcement detailing practices, software tools, and code compliance. 6. Support to Estimation, Procurement & BillingAssist estimation and billing teams in verifying rebar quantities. Coordinate with procurement for cut length and bending schedule-based material planning. Key Skills Required:Strong command of AutoCAD, Bar Bending Schedule preparation, and RCC detailing In-depth understanding of Indian Standards (IS:456, IS:2502, IS:13920) Practical experience with defence and government project requirements (MES, CPWD, etc.) Ability to read structural drawings, BOQs, and tender documents Strong analytical and coordination skills

Job Title :Civil Engineer – Marketing & Lead Generation Specialist Job Summary: A hybrid role combining civil engineering knowledge with strategic marketing and sales functions. The position involves promoting civil engineering products or solutions, identifying potential clients, generating leads, and supporting the sales team with technical insights. Key Responsibilities:1. Technical Responsibilities (Civil Engineering):Understand and demonstrate the technical aspects of civil engineering products (e.g., construction chemicals, waterproofing, prefabricated structures, reinforcement products, etc.). Provide technical support to clients and the sales team. Prepare project proposals, technical documentation, and cost estimates. Collaborate with project teams to ensure technical specifications meet client requirements. 2. Marketing & Promotion: Develop and implement marketing strategies for civil products (online and offline). Organize seminars, workshops, trade shows, and product demos. Create promotional materials, brochures, product data sheets, and case studies. Manage digital marketing campaigns (LinkedIn, email campaigns, industry blogs). 3. Sales Support & Lead Generation: Identify and target potential clients: contractors, builders, architects, consultants, and government bodies. Generate and qualify leads through cold calls, emails, and networking. Maintain CRM tools with updated client interactions and follow-ups. Coordinate with the sales team to convert leads into business opportunities. 4. Client Relationship Management: Build and maintain long-term relationships with key decision-makers. Address client queries and provide post-sales support. Gather client feedback to improve product offerings and services. Required Qualifications: Bachelor’s degree in Civil Engineering (mandatory); MBA in Marketing is a plus. 2–5 years of experience in civil engineering and/or B2B technical product marketing. Knowledge of construction materials, methods, and industry standards. Proficiency with CRM tools and digital marketing platforms. Skills: Strong technical and analytical mind set. Excellent communication and interpersonal skills. Sales-driven with a customer-first approach. Presentation and negotiation skills. Ability to work cross-functionally with engineering and sales teams. Ideal For Candidates Who: Want to blend field knowledge with strategic business development. Are passionate about both technical problem-solving and client engagement. Have an entrepreneurial mind set and enjoy working in dynamic environments.

About RISA Labs Cancer patients face not just a disease, but a broken system where delays in treatment are common due to outdated, error-prone workflows. RISA Labs is changing that with our Business Operating System as a Service (BOSS) - a powerful platform built for the vertical complexity of healthcare, that transforms healthcare operations. Unlike simple automation tools, BOSS breaks down complex workflows into small tasks, managed by smart AI agents like LLMs, digital twins, and reinforcement learners. This creates a digital workforce that doubles the efficiency of healthcare teams, letting a 1,000-person institution operate like it has 2,000 staff overnight. Founders RISA was founded by Kshitij Jaggi and Kumar Shivang, IIT Kanpur alumni with a proven track record from their previous healthcare startup, Urban Health. Their vision is to streamline oncology care through cutting-edge technology. Funding RISA Labs is backed by $3.5 million in seed funding, led by Flipkart co-founder Binny Bansal, with support from Oncology Ventures, General Catalyst, z21 Ventures, Odd Bird VC, and angel investor Ashish Gupta. Role Overview We’re looking for an Associate Product Manager (APM) to join our tight-knit product team in Bangalore or Palo Alto. You’ll help build the backbone of RISA’s platform, shaping AI-driven tools like LLM apps, agentic AI infrastructure, autonomous AI apps, and AI simulators that power oncology workflows, partner dashboards, and internal systems. This role is perfect for someone eager to dive into product development, take ownership, and grow in a fast-moving healthtech startup. Roles and Responsibilities Build and refine AI-powered tools, including LLM apps, agentic AI systems, autonomous apps, and AI simulators for healthcare workflows Work with product leads to define features, set priorities, and create clear specs Research user needs by talking to customers, observing workflows, and analyzing data Write clear product docs, like requirements, user stories, and notes, to guide development Track progress, manage timelines, and balance trade-offs to keep projects on track Support testing, user acceptance, and launch efforts to ensure high-quality delivery Gather feedback from support, operations, and engineering teams to improve the product Take initiative, ask questions, and own your work from day one in a dynamic environment Qualifications 1 to 4 years of experience in product management, operations, design, or engineering Strong communication and writing skills to simplify complex ideas Comfortable thriving in fast-paced, uncertain settings Curious about AI, machine learning, healthcare, or regulated systems Bonus: Experience with tools like Figma, SQL, Jira, Notion, or Slack Bonus: Background in startups, fellowships, or high-ownership internships Why You’ll Love Working at RISA This is a hands-on role for builders who love tackling tough problems in healthcare. You’ll work closely with engineers, designers, and oncology experts, getting involved in every step from ideation to launch. If you’re driven to create from scratch, grow fast, and make a real impact on cancer care, RISA is the place to become a full-stack product leader. With a small team and big vision, your work will shape the future of healthcare efficiency.

Data collection, profiling, EDA & data preparation AI Model development, tuning & validation Visualization tools (e.g., PowerBI, tableau) Present findings to business users & project management teams Propose ML based solution approaches and estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoring: guide other team members ML algorithms AI domains: NLP, speech, computer vision Supervised, Unsupervised, Reinforcement learning Tools for data analysis, auto ML, model deployment and scaling Knowledge of datasets Programming: Python Databases Knowledge of cloud platforms: Azure/AWS/GCP.

Techolution is seeking a visionary Associate MERN Stack Developer to join our innovative team in Hyderabad . Dive into a world where your passion for React and Node.js will shape cutting-edge web applications that push the boundaries of technology. As a key player in our dynamic, fast-paced environment, you'll collaborate with cross-functional teams to turn complex challenges into elegant solutions. If you're excited about crafting scalable, responsive applications and thrive in an atmosphere of continuous learning and growth, this role offers the perfect canvas for your technical artistry. Title : Associate Full Stack Developer Location: Hyderabad (Hybrid) Employment Type: Full Time Work Timings: 2-11PM Experience: 2+ Years of experience Key Responsibilitie Architect and develop full-stack web applications using HTM L, CSS , and JavaScript , ensuring seamless user experiences across device Design and implement robust RESTful APIs using Node.js , facilitating efficient communication between front-end and back-end system Leverage React to build dynamic and responsive user interfaces, enhancing interactivity and performance Develop and maintain scalable microservices architecture , enabling modular and efficient system design Implement cloud-native solutions on GCP and AWS , optimizing application performance and scalabilit Collaborate with cross-functional teams to integrate AI components into existing products, driving innovation and user value Demonstrate ownership by taking responsibility for end-to-end feature development, from conception to deployment Apply a seeker mindset to continuously learn and adapt to emerging technologies and best practices in full-stack development Showcase unbeatable work ethic by delivering high-quality code on time and actively participating in code review Utilize strong comprehension skills to translate complex business requirements into efficient technical solutions. Top Non-Negotiable Skil HTML, CSS, and JavaScri pt​: Proven expertise in front-end technologies with the ability to create responsive and visually appealing interfaces. React: In-depth knowledge of the React framework, including state management, hooks, and component lifecycle. Node.js: Proficiency in server-side JavaScript, with experience building scalable and efficient back-end services. Microservice Architecture: Understanding of distributed systems and ability to design and implement microservices-based application. Cloud-Native Development: Familiarity with cloud-native principles and experience developing applications for cloud environme GCP and AWS: Hands-on experience with major cloud platforms, including deployment, scaling, and resource management. AI Project or Product Development Experience: Demonstrated ability to integrate AI components into full-stack applications. Ownership: Proven ability to take full responsibility for assigned tasks and projects, ensuring successful completion. Seeker Mindset: Proactive learner who stays updated with the latest trends and technologies in full-stack developm Passion for Work: Genuine enthusiasm for coding and problem-solving, with a drive to create innovative solutions. Extreme Ambition: Goal-oriented mindset with a desire to push boundaries and achieve exceptional results. Unbeatable Work Ethic: Strong commitment to delivering high-quality work, meeting deadlines, and maintaining professional standards. Strong Comprehension Skills: Ability to understand complex technical concepts and translate them into practical solutions. Negotiable Skills. CI/CD: Familiarity with continuous integration and continuous deployment practices to streamline development workflows. Kubernetes: Knowledge of container orchestration using Kubernetes for efficient deployment and management of microservices. About Techolution Techolution is a Product Development firm on track to become one of the most admired brands in the world for "innovation done r ight". 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. With that, we are now fully committed to helping our clients build the enterprise of tomorrow by making the leap from Lab Grade A I to Real Wor l d AI.We are honored to have recently received the prestigious Inc 500 Best In Business award, a testament to our commitment to excellence. 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. 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. 6. AI Center of Excellence : Establishes an AI Center of Excellence to maximize AI potential and ROI. 7. FaceOpen : AI-powered user identification system using image recognition and deep neural networks, eliminating the need for keys, badges, or fingerprint scanners! 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. I would like to speak with you personally about this opportunity.Please share me your contact details or Please send your resume to my email ID shikha.bhattacharya@techo lution.com and Please let me know the best time to talk to you as well.

Techolution is seeking a visionary Associate MERN Stack Developer to join our innovative team in Hyderabad . Dive into a world where your passion for React and Node.js will shape cutting-edge web applications that push the boundaries of technology. As a key player in our dynamic, fast-paced environment, you'll collaborate with cross-functional teams to turn complex challenges into elegant solutions. If you're excited about crafting scalable, responsive applications and thrive in an atmosphere of continuous learning and growth, this role offers the perfect canvas for your technical artistry. Title : Associate Full Stack Developer Location: Hyderabad (Hybrid) Employment Type: Full Time Work Timings: 2-11PM Experience: 2+ Years of experience Key Responsibilitie Architect and develop full-stack web applications using HTM L, CSS, and JavaScript , ensuring seamless user experiences across device Design and implement robust RESTful APIs using Node.js, facilitating efficient communication between front-end and back-end system Leverage React to build dynamic and responsive user interfaces, enhancing interactivity and performance Develop and maintain scalable microservices architecture, enabling modular and efficient system design Implement cloud-native solutions on GCP and AWS , optimizing application performance and scalabilit Collaborate with cross-functional teams to integrate AI components into existing products, driving innovation and user value Demonstrate ownership by taking responsibility for end-to-end feature development, from conception to deployment Apply a seeker mindset to continuously learn and adapt to emerging technologies and best practices in full-stack development Showcase unbeatable work ethic by delivering high-quality code on time and actively participating in code review Utilize strong comprehension skills to translate complex business requirements into efficient technical solutions. Top Non-Negotiable Skil HTML, CSS, and JavaScri pt​: Proven expertise in front-end technologies with the ability to create responsive and visually appealing interfaces. React: In-depth knowledge of the React framework, including state management, hooks, and component lifecycle. Node.js: Proficiency in server-side JavaScript, with experience building scalable and efficient back-end services. Microservice Architecture: Understanding of distributed systems and ability to design and implement microservices-based application. Cloud-Native Development: Familiarity with cloud-native principles and experience developing applications for cloud environme GCP and AWS: Hands-on experience with major cloud platforms, including deployment, scaling, and resource management. AI Project or Product Development Experience: Demonstrated ability to integrate AI components into full-stack applications. Ownership: Proven ability to take full responsibility for assigned tasks and projects, ensuring successful completion. Seeker Mindset: Proactive learner who stays updated with the latest trends and technologies in full-stack developm Passion for Work: Genuine enthusiasm for coding and problem-solving, with a drive to create innovative solutions. Extreme Ambition: Goal-oriented mindset with a desire to push boundaries and achieve exceptional results. Unbeatable Work Ethic: Strong commitment to delivering high-quality work, meeting deadlines, and maintaining professional standards. Strong Comprehension Skills: Ability to understand complex technical concepts and translate them into practical solutions. Negotiable Skills. CI/CD: Familiarity with continuous integration and continuous deployment practices to streamline development workflows. Kubernetes: Knowledge of container orchestration using Kubernetes for efficient deployment and management of microservices. About Techolution Techolution is a Product Development firm on track to become one of the most admired brands in the world for "innovation done r ight". 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. With that, we are now fully committed to helping our clients build the enterprise of tomorrow by making the leap from Lab Grade A I to Real Wor l d AI.We are honored to have recently received the prestigious Inc 500 Best In Business award, a testament to our commitment to excellence. 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. 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. 6. AI Center of Excellence : Establishes an AI Center of Excellence to maximize AI potential and ROI. 7. FaceOpen : AI-powered user identification system using image recognition and deep neural networks, eliminating the need for keys, badges, or fingerprint scanners! 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. I would like to speak with you personally about this opportunity.Please share me your contact details or Please send your resume to my email ID shikha.bhattacharya@techo lution.com and Please let me know the best time to talk to you as well.

Job Description The Oracle Global Business Unit (GBU) Generative AI team is responsible for leading Generative AI and Agent needs of business applications serving variety of markets including Finance, Hospitality, Construction and Engineering, Energy & Water etc. Our goal is to enable customers to apply AI to solve their business problems with Oracle's assistance and expertise in Generative AI. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality generative ai and agent features that delights our customers with the confidence that their data are safe and protected. Your Opportunity We are seeking a Principal/Sr. Principal Applied Scientist (IC4/IC5) to spearhead Generative AI and Agent use cases that support GBU business applications as well as GBU consulting. As an applied scientist, you will be responsible for driving the development and implementation of cutting-edge technologies. We are building a core talented team specialized in Generative AI. We are looking for candidates who are passionate about building state-of-the-art technologies to solve real-world problems and have a solid technical background in deep learning, especially natural language processing (NLP) and multimodal models, to join this team. You will collaborate with a team of world-class scientists, engineers and product managers. We’re looking for a person who will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both development and consulting teams. You’ll be a Generative AI expert who is hands-on as well as be adept at evangelizing and influencing multiple stakeholders without direct authority on best practices and to get things done efficiently. Most importantly – we believe in a people-first approach. Our team consists of people from a wide variety of backgrounds, with different professional and life experiences, who support each other to build things the right way and enjoy ourselves while doing it. A successful candidate will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both external customers and internal teams, as well as hands-on experience as a data scientist applying AI to solve business problems. What We Offer Being part of one of the most visionary and mission-driven organizations in Oracle, cooperating with talented peers with diverse backgrounds worldwide. High visibility to senior leadership, as well as technical leaders and partners. Opportunity to build state-of-the-art technologies in large language models and generative AI at scale. Close partnership with product managers and software engineers to deploy Generative AI features into products in various business-critical scenarios. Building performance evaluations of Generative AI systems for continuous improvement of alignment with stakeholders' growing expectations. What You’ll Do Develop, implement, and optimize large language models and generative AI technologies, including training/finetuning and computation optimizations. Collaborate with software engineers to deploy LLM / Generative AI models and Agents into production environments. Stay up-to-date with the latest advancements in the field of generative AI. Collaborate with cross-functional teams to drive the development and adoption of LLM and generative AI solutions across various organizations in the company. Work directly with key customers and accompany them on their AI journey – understanding their requirements, help them envision and design the right solutions and work together with their engineering and data science team to remove blockers and translate the feedback into actionable items for individual service owners. Design and build solutions and help GBU development teams reach successful pilots, PoCs and feature releases with our AI/Gen AI and DS technologies. Bring back learnings from these engagements to standardize Generative AI and Agent implementations for efficiency, scale and ease of maintenance. Support GBU consulting with re-usable solution patterns and reference solutions / showcases that can apply across multiple customers. Being enthusiastic, self-motivated, and a great collaborator. Lead patent filings and author papers to show innovative enterprise grade developments. Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc. Qualifications: PhD, MS in computer science, engineering, mathematics or a field related to deep learning. Strong knowledge of ML fundamentals – supervised vs unsupervised modeling, time series, highly unbalanced and noisy data sets, complex feature engineering, recommendation systems, using and optimizing gradient boosting models, NLP, deep learning on all kinds of unstructured data. 5+ (for Senior), 7+ (for Principal), 10+ (for Sr Principal) years of work experience including a minimum of 2-year experience in developing large-scale ML solutions, and in particular deep learning solutions in the NLP field. Proficiency with deep learning frameworks (such as PyTorch or TensorFlow) and deep learning architectures (especially Transformers). Hands-on experience with distributed training of large language models. Strong development experience of deep learning modeling in Python. Familiarity with the latest advancements in LLM and generative AI technologies. Familiarity with engineering best practices, including shared codebase, version control, containerization, etc. Passionate about being a builder and working with talented peers to solve hard problems at scale. Good communication skills to convey technical concepts in straightforward terms with product managers and various stakeholders. Preferred Skills Publications in top-tier deep learning conferences or significant contributions to prominent deep learning repositories Industrial experience in system design, software development, and production deployment Excel in transforming ambiguous requirements into actionable plans with deep learning techniques for problem-solving. First-hand experience with deep reinforcement learning First-hand experience with the latest technologies in LLM and generative AI such as parameter-efficient finetuning and instruction finetuning is a plus Familiarity with the latest advancements in computer vision and multimodal modeling (such as CLIP, DALL-E2, and diffusion models) is a plus Top-tier performance in prestigious deep learning leaderboards or large model-related competitions is a plus. Responsibilities Drives and plans implementation of company policy for achieving business goals. Defines the bar for science practices, and helps teams achieve those goals. Identifies and mitigates risks across full set of systems, particularly at the intersection of business and engineering. Innovate AI and ML powered solutions (rich APIs, ML models and end to end services) with strategic ISVs and customers. Develop deep product intuition to influence future product roadmaps and drive decision making. Clearly articulate technical work to audiences of all levels and across multiple functional areas in both internal and external settings. Engage in forward looking research both internal and with academic institutions globally. Hires and mentors across the org. Perform an active role in team planning, review and retrospective events. Ensures experiments are ready for hand-off to Software Developers ship into production. May perform other duties as assigned. Qualifications Career Level - IC5 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Description and Requirements "At BMC trust is not just a word - it's a way of life!" Hybrid Description and Requirements "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! The IZOT product line includes BMC’s Intelligent Z Optimization & Transformation products, which help the world’s largest companies to monitor and manage their mainframe systems. The modernization of mainframe is the beating heart of our product line, and we achieve this goal by developing products that improve the developer experience, the mainframe integration, the speed of application development, the quality of the code and the applications’ security, while reducing operational costs and risks. We acquired several companies along the way, and we continue to grow, innovate, and perfect our solutions on an ongoing basis. BMC AMI Cost and Capacity Management - As digitization increases, so does the complexity of managing mainframe capacity and costs. BMC AMI Cost and Capacity portfolio increases availability, predicts capacity bottlenecks before they occur, and optimizes mainframe software costs. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: We are seeking a Python with AI/ML Developer to join a highly motivated team responsible for developing and maintaining innovation for mainframe capacity and cost management. As an Application Developer at BMC, you will be responsible for: Developing and integrating AI/ML models with a focus on Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and Vector Databases to enhance intelligent decision-making. Building scalable AI pipelines for real-time and batch inference, optimizing model performance, and deploying AI-driven applications. Implementing RAG-based architectures using LLMs (Large Language Models) for intelligent search, chatbot development, and knowledge management. Utilizing vector databases (e.g., FAISS, ChromaDB, Weaviate, Pinecone) to enable efficient similarity search and AI-driven recommendations. Developing modern web applications using Angular to create interactive and AI-powered user interfaces. Developing APIs and microservices to expose AI/ML models for enterprise applications. Processing and analyzing structured & unstructured data, including text, images, and time-series data for AI/ML applications. Optimizing ML models for performance and scalability, ensuring low latency and high availability in production. Staying updated with advancements in GenAI, NLP, transformers, and deep learning architectures to drive innovation. Collaborating with cross-functional teams to integrate AI capabilities into existing applications and workflows. To ensure you’re set up for success, you will bring the following skillset & experience: Strong proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, LangChain. Experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone) for semantic search and embeddings. Hands-on expertise in LLMs (GPT, LLaMA, Mistral, Claude, etc.) and fine-tuning/customizing models. Proficiency in Retrieval-Augmented Generation (RAG) and prompt engineering for AI-driven applications. Experience with Angular for developing interactive web applications. Experience with RESTful APIs, FastAPI, Flask, or Django for AI model serving. Working knowledge of SQL and NoSQL databases for AI/ML applications. Hands-on experience with Git/GitHub, Docker, and Kubernetes for AI/ML model deployment. Whilst these are nice to have, our team can help you develop in the following skills: Experience with knowledge graphs, semantic search, and enterprise AI applications. Additional experience with .NET v7+ and cross-platform .NET development would be helpful. Exposure to IBM z/OS mainframe environments and AI-driven optimization for legacy systems. Background in statistical data analysis, reinforcement learning, or advanced ML techniques. Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page. BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 4,166,900 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply.

Job Description The Oracle Global Business Unit (GBU) Generative AI team is responsible for leading Generative AI and Agent needs of business applications serving variety of markets including Finance, Hospitality, Construction and Engineering, Energy & Water etc. Our goal is to enable customers to apply AI to solve their business problems with Oracle's assistance and expertise in Generative AI. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality generative ai and agent features that delights our customers with the confidence that their data are safe and protected. Your Opportunity We are seeking a Principal/Sr. Principal Applied Scientist (IC4/IC5) to spearhead Generative AI and Agent use cases that support GBU business applications as well as GBU consulting. As an applied scientist, you will be responsible for driving the development and implementation of cutting-edge technologies. We are building a core talented team specialized in Generative AI. We are looking for candidates who are passionate about building state-of-the-art technologies to solve real-world problems and have a solid technical background in deep learning, especially natural language processing (NLP) and multimodal models, to join this team. You will collaborate with a team of world-class scientists, engineers and product managers. We’re looking for a person who will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both development and consulting teams. You’ll be a Generative AI expert who is hands-on as well as be adept at evangelizing and influencing multiple stakeholders without direct authority on best practices and to get things done efficiently. Most importantly – we believe in a people-first approach. Our team consists of people from a wide variety of backgrounds, with different professional and life experiences, who support each other to build things the right way and enjoy ourselves while doing it. A successful candidate will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both external customers and internal teams, as well as hands-on experience as a data scientist applying AI to solve business problems. What We Offer Being part of one of the most visionary and mission-driven organizations in Oracle, cooperating with talented peers with diverse backgrounds worldwide. High visibility to senior leadership, as well as technical leaders and partners. Opportunity to build state-of-the-art technologies in large language models and generative AI at scale. Close partnership with product managers and software engineers to deploy Generative AI features into products in various business-critical scenarios. Building performance evaluations of Generative AI systems for continuous improvement of alignment with stakeholders' growing expectations. What You’ll Do Develop, implement, and optimize large language models and generative AI technologies, including training/finetuning and computation optimizations. Collaborate with software engineers to deploy LLM / Generative AI models and Agents into production environments. Stay up-to-date with the latest advancements in the field of generative AI. Collaborate with cross-functional teams to drive the development and adoption of LLM and generative AI solutions across various organizations in the company. Work directly with key customers and accompany them on their AI journey – understanding their requirements, help them envision and design the right solutions and work together with their engineering and data science team to remove blockers and translate the feedback into actionable items for individual service owners. Design and build solutions and help GBU development teams reach successful pilots, PoCs and feature releases with our AI/Gen AI and DS technologies. Bring back learnings from these engagements to standardize Generative AI and Agent implementations for efficiency, scale and ease of maintenance. Support GBU consulting with re-usable solution patterns and reference solutions / showcases that can apply across multiple customers. Being enthusiastic, self-motivated, and a great collaborator. Lead patent filings and author papers to show innovative enterprise grade developments. Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc. Qualifications: PhD, MS in computer science, engineering, mathematics or a field related to deep learning. Strong knowledge of ML fundamentals – supervised vs unsupervised modeling, time series, highly unbalanced and noisy data sets, complex feature engineering, recommendation systems, using and optimizing gradient boosting models, NLP, deep learning on all kinds of unstructured data. 5+ (for Senior), 7+ (for Principal), 10+ (for Sr Principal) years of work experience including a minimum of 2-year experience in developing large-scale ML solutions, and in particular deep learning solutions in the NLP field. Proficiency with deep learning frameworks (such as PyTorch or TensorFlow) and deep learning architectures (especially Transformers). Hands-on experience with distributed training of large language models. Strong development experience of deep learning modeling in Python. Familiarity with the latest advancements in LLM and generative AI technologies. Familiarity with engineering best practices, including shared codebase, version control, containerization, etc. Passionate about being a builder and working with talented peers to solve hard problems at scale. Good communication skills to convey technical concepts in straightforward terms with product managers and various stakeholders. Preferred Skills Publications in top-tier deep learning conferences or significant contributions to prominent deep learning repositories Industrial experience in system design, software development, and production deployment Excel in transforming ambiguous requirements into actionable plans with deep learning techniques for problem-solving. First-hand experience with deep reinforcement learning First-hand experience with the latest technologies in LLM and generative AI such as parameter-efficient finetuning and instruction finetuning is a plus Familiarity with the latest advancements in computer vision and multimodal modeling (such as CLIP, DALL-E2, and diffusion models) is a plus Top-tier performance in prestigious deep learning leaderboards or large model-related competitions is a plus. Responsibilities Drives and plans implementation of company policy for achieving business goals. Defines the bar for science practices, and helps teams achieve those goals. Identifies and mitigates risks across full set of systems, particularly at the intersection of business and engineering. Innovate AI and ML powered solutions (rich APIs, ML models and end to end services) with strategic ISVs and customers. Develop deep product intuition to influence future product roadmaps and drive decision making. Clearly articulate technical work to audiences of all levels and across multiple functional areas in both internal and external settings. Engage in forward looking research both internal and with academic institutions globally. Hires and mentors across the org. Perform an active role in team planning, review and retrospective events. Ensures experiments are ready for hand-off to Software Developers ship into production. May perform other duties as assigned. Qualifications Career Level - IC5 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Job Description The Oracle Global Business Unit (GBU) Generative AI team is responsible for leading Generative AI and Agent needs of business applications serving variety of markets including Finance, Hospitality, Construction and Engineering, Energy & Water etc. Our goal is to enable customers to apply AI to solve their business problems with Oracle's assistance and expertise in Generative AI. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality generative ai and agent features that delights our customers with the confidence that their data are safe and protected. Your Opportunity We are seeking a Principal/Sr. Principal Applied Scientist (IC4/IC5) to spearhead Generative AI and Agent use cases that support GBU business applications as well as GBU consulting. As an applied scientist, you will be responsible for driving the development and implementation of cutting-edge technologies. We are building a core talented team specialized in Generative AI. We are looking for candidates who are passionate about building state-of-the-art technologies to solve real-world problems and have a solid technical background in deep learning, especially natural language processing (NLP) and multimodal models, to join this team. You will collaborate with a team of world-class scientists, engineers and product managers. We’re looking for a person who will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both development and consulting teams. You’ll be a Generative AI expert who is hands-on as well as be adept at evangelizing and influencing multiple stakeholders without direct authority on best practices and to get things done efficiently. Most importantly – we believe in a people-first approach. Our team consists of people from a wide variety of backgrounds, with different professional and life experiences, who support each other to build things the right way and enjoy ourselves while doing it. A successful candidate will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both external customers and internal teams, as well as hands-on experience as a data scientist applying AI to solve business problems. What We Offer Being part of one of the most visionary and mission-driven organizations in Oracle, cooperating with talented peers with diverse backgrounds worldwide. High visibility to senior leadership, as well as technical leaders and partners. Opportunity to build state-of-the-art technologies in large language models and generative AI at scale. Close partnership with product managers and software engineers to deploy Generative AI features into products in various business-critical scenarios. Building performance evaluations of Generative AI systems for continuous improvement of alignment with stakeholders' growing expectations. What You’ll Do Develop, implement, and optimize large language models and generative AI technologies, including training/finetuning and computation optimizations. Collaborate with software engineers to deploy LLM / Generative AI models and Agents into production environments. Stay up-to-date with the latest advancements in the field of generative AI. Collaborate with cross-functional teams to drive the development and adoption of LLM and generative AI solutions across various organizations in the company. Work directly with key customers and accompany them on their AI journey – understanding their requirements, help them envision and design the right solutions and work together with their engineering and data science team to remove blockers and translate the feedback into actionable items for individual service owners. Design and build solutions and help GBU development teams reach successful pilots, PoCs and feature releases with our AI/Gen AI and DS technologies. Bring back learnings from these engagements to standardize Generative AI and Agent implementations for efficiency, scale and ease of maintenance. Support GBU consulting with re-usable solution patterns and reference solutions / showcases that can apply across multiple customers. Being enthusiastic, self-motivated, and a great collaborator. Lead patent filings and author papers to show innovative enterprise grade developments. Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc. Qualifications: PhD, MS in computer science, engineering, mathematics or a field related to deep learning. Strong knowledge of ML fundamentals – supervised vs unsupervised modeling, time series, highly unbalanced and noisy data sets, complex feature engineering, recommendation systems, using and optimizing gradient boosting models, NLP, deep learning on all kinds of unstructured data. 5+ (for Senior), 7+ (for Principal), 10+ (for Sr Principal) years of work experience including a minimum of 2-year experience in developing large-scale ML solutions, and in particular deep learning solutions in the NLP field. Proficiency with deep learning frameworks (such as PyTorch or TensorFlow) and deep learning architectures (especially Transformers). Hands-on experience with distributed training of large language models. Strong development experience of deep learning modeling in Python. Familiarity with the latest advancements in LLM and generative AI technologies. Familiarity with engineering best practices, including shared codebase, version control, containerization, etc. Passionate about being a builder and working with talented peers to solve hard problems at scale. Good communication skills to convey technical concepts in straightforward terms with product managers and various stakeholders. Preferred Skills Publications in top-tier deep learning conferences or significant contributions to prominent deep learning repositories Industrial experience in system design, software development, and production deployment Excel in transforming ambiguous requirements into actionable plans with deep learning techniques for problem-solving. First-hand experience with deep reinforcement learning First-hand experience with the latest technologies in LLM and generative AI such as parameter-efficient finetuning and instruction finetuning is a plus Familiarity with the latest advancements in computer vision and multimodal modeling (such as CLIP, DALL-E2, and diffusion models) is a plus Top-tier performance in prestigious deep learning leaderboards or large model-related competitions is a plus. Responsibilities Drives and plans implementation of company policy for achieving business goals. Defines the bar for science practices, and helps teams achieve those goals. Identifies and mitigates risks across full set of systems, particularly at the intersection of business and engineering. Innovate AI and ML powered solutions (rich APIs, ML models and end to end services) with strategic ISVs and customers. Develop deep product intuition to influence future product roadmaps and drive decision making. Clearly articulate technical work to audiences of all levels and across multiple functional areas in both internal and external settings. Engage in forward looking research both internal and with academic institutions globally. Hires and mentors across the org. Perform an active role in team planning, review and retrospective events. Ensures experiments are ready for hand-off to Software Developers ship into production. May perform other duties as assigned. Qualifications Career Level - IC5 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Job Description The Oracle Global Business Unit (GBU) Generative AI team is responsible for leading Generative AI and Agent needs of business applications serving variety of markets including Finance, Hospitality, Construction and Engineering, Energy & Water etc. Our goal is to enable customers to apply AI to solve their business problems with Oracle's assistance and expertise in Generative AI. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality generative ai and agent features that delights our customers with the confidence that their data are safe and protected. Your Opportunity We are seeking a Principal/Sr. Principal Applied Scientist (IC4/IC5) to spearhead Generative AI and Agent use cases that support GBU business applications as well as GBU consulting. As an applied scientist, you will be responsible for driving the development and implementation of cutting-edge technologies. We are building a core talented team specialized in Generative AI. We are looking for candidates who are passionate about building state-of-the-art technologies to solve real-world problems and have a solid technical background in deep learning, especially natural language processing (NLP) and multimodal models, to join this team. You will collaborate with a team of world-class scientists, engineers and product managers. We’re looking for a person who will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both development and consulting teams. You’ll be a Generative AI expert who is hands-on as well as be adept at evangelizing and influencing multiple stakeholders without direct authority on best practices and to get things done efficiently. Most importantly – we believe in a people-first approach. Our team consists of people from a wide variety of backgrounds, with different professional and life experiences, who support each other to build things the right way and enjoy ourselves while doing it. A successful candidate will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both external customers and internal teams, as well as hands-on experience as a data scientist applying AI to solve business problems. What We Offer Being part of one of the most visionary and mission-driven organizations in Oracle, cooperating with talented peers with diverse backgrounds worldwide. High visibility to senior leadership, as well as technical leaders and partners. Opportunity to build state-of-the-art technologies in large language models and generative AI at scale. Close partnership with product managers and software engineers to deploy Generative AI features into products in various business-critical scenarios. Building performance evaluations of Generative AI systems for continuous improvement of alignment with stakeholders' growing expectations. What You’ll Do Develop, implement, and optimize large language models and generative AI technologies, including training/finetuning and computation optimizations. Collaborate with software engineers to deploy LLM / Generative AI models and Agents into production environments. Stay up-to-date with the latest advancements in the field of generative AI. Collaborate with cross-functional teams to drive the development and adoption of LLM and generative AI solutions across various organizations in the company. Work directly with key customers and accompany them on their AI journey – understanding their requirements, help them envision and design the right solutions and work together with their engineering and data science team to remove blockers and translate the feedback into actionable items for individual service owners. Design and build solutions and help GBU development teams reach successful pilots, PoCs and feature releases with our AI/Gen AI and DS technologies. Bring back learnings from these engagements to standardize Generative AI and Agent implementations for efficiency, scale and ease of maintenance. Support GBU consulting with re-usable solution patterns and reference solutions / showcases that can apply across multiple customers. Being enthusiastic, self-motivated, and a great collaborator. Lead patent filings and author papers to show innovative enterprise grade developments. Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc. Qualifications: PhD, MS in computer science, engineering, mathematics or a field related to deep learning. Strong knowledge of ML fundamentals – supervised vs unsupervised modeling, time series, highly unbalanced and noisy data sets, complex feature engineering, recommendation systems, using and optimizing gradient boosting models, NLP, deep learning on all kinds of unstructured data. 5+ (for Senior), 7+ (for Principal), 10+ (for Sr Principal) years of work experience including a minimum of 2-year experience in developing large-scale ML solutions, and in particular deep learning solutions in the NLP field. Proficiency with deep learning frameworks (such as PyTorch or TensorFlow) and deep learning architectures (especially Transformers). Hands-on experience with distributed training of large language models. Strong development experience of deep learning modeling in Python. Familiarity with the latest advancements in LLM and generative AI technologies. Familiarity with engineering best practices, including shared codebase, version control, containerization, etc. Passionate about being a builder and working with talented peers to solve hard problems at scale. Good communication skills to convey technical concepts in straightforward terms with product managers and various stakeholders. Preferred Skills Publications in top-tier deep learning conferences or significant contributions to prominent deep learning repositories Industrial experience in system design, software development, and production deployment Excel in transforming ambiguous requirements into actionable plans with deep learning techniques for problem-solving. First-hand experience with deep reinforcement learning First-hand experience with the latest technologies in LLM and generative AI such as parameter-efficient finetuning and instruction finetuning is a plus Familiarity with the latest advancements in computer vision and multimodal modeling (such as CLIP, DALL-E2, and diffusion models) is a plus Top-tier performance in prestigious deep learning leaderboards or large model-related competitions is a plus. Responsibilities Drives and plans implementation of company policy for achieving business goals. Defines the bar for science practices, and helps teams achieve those goals. Identifies and mitigates risks across full set of systems, particularly at the intersection of business and engineering. Innovate AI and ML powered solutions (rich APIs, ML models and end to end services) with strategic ISVs and customers. Develop deep product intuition to influence future product roadmaps and drive decision making. Clearly articulate technical work to audiences of all levels and across multiple functional areas in both internal and external settings. Engage in forward looking research both internal and with academic institutions globally. Hires and mentors across the org. Perform an active role in team planning, review and retrospective events. Ensures experiments are ready for hand-off to Software Developers ship into production. May perform other duties as assigned. Qualifications Career Level - IC5 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.