1990 Preprocessing Jobs - Page 48

Role: AI/ML Engineer Relevant experience: 3+ years Location: Bangalore/Mysore/Coimbatore Work mode: From office 5 days a week Job Summary: We are looking for an innovative AI/ML Engineer to join our team and work on cutting-edge machine learning and artificial intelligence projects. The ideal candidate will have experience in building, deploying, and optimizing AI/ML models, along with a strong foundation in data science, programming, and algorithms. You will help drive the development of intelligent systems that leverage machine learning to solve real-world problems and improve business outcomes. Key Responsibilities: Data Preparation and Analysis: Ability to understand large datasets, preprocess them, and extract features Data Preprocessing Techniques: Knowledge of normalization, feature encoding, and handling missing values Data Cleaning: Identifying and rectifying errors, outliers, and missing values within datasets Design, develop, and implement machine learning & Deep Learning (FNN, CNN, RNN) models, with a focus on LLMs, generative AI, and fraud detection systems. Deploy and maintain ML models in AWS or any other cloud environments. Optimize model performance and scalability. Collaborate with cross-functional teams to integrate AI solutions into existing applications. Develop and maintain APIs (RESTful) for AI model integration. Implement MLOps best practices to streamline the ML lifecycle. Stay up-to-date with the latest advancements in AI/ML and incorporate new techniques into our workflow. Develop and implement fraud detection models to identify and prevent fraudulent activities. Evaluate model performance using appropriate metrics and techniques, ensuring high accuracy and reliability. Experience with Machine Learning Libraries and Frameworks: Familiarity with tools like TensorFlow, PyTorch, and scikit-learn, Keras Show more Show less

Company: A Large Global Organization Key Skills: Machine Learning, Linear Regression, Deep Learning, Pytorch, Python, R Programming. Roles and Responsibilities: Lead and mentor a team of data scientists in developing advanced machine learning models. Design and implement data-driven strategies to solve complex business problems. Collaborate with cross-functional teams to integrate data science solutions into business operations. Conduct research and development to innovate new algorithms and methodologies. Analyze large datasets to extract meaningful insights and drive business growth. Present findings and recommendations to stakeholders in a clear and actionable manner. Stay updated with the latest trends and advancements in data science and machine learning. Work mode: Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH). Experience Requirement: 13-15 years of experience in data science, with strong expertise in machine learning and deep learning. Proven experience in applying linear regression and other supervised learning techniques to real-world business problems. Hands-on experience in leading end-to-end data science projects from data preprocessing to model deployment. Demonstrated success in managing and mentoring high-performing data science teams. Strong ability to translate business challenges into data science solutions and measurable outcomes. Track record of delivering business impact through innovative use of machine learning and analytics. Education: Any Graduation. Show more Show less

LEAD DATA ENGINEER Location: Hyderabad Role: Permanent Mode: WFO JOB RESPONSIBILITIES: Tracks the various Machine learning projects and their data needs. Tracks and improves Kanban process of product maintenance Drives complex technical discussions both within company and outside data partners Actively Contributes to the design of machine learning solutions by having a deep understanding of how the data is used and how new sources of data can be introduced Advocates for investments in tools and technologies to streamline data workflows and reduce technical debt Continuously explores and adopts emerging technologies and methodologies in data engineering and machine learning Develops and maintains scalable data pipelines to support machine learning models and analytics Collaborates with data scientists to ensure efficient data processing and model deployment Ensures data quality, integrity, and security across all stages of the data pipeline Implements monitoring and alerting systems to detect anomalies in data processing and model performance Enhances data versioning, data lineage, and reproducibility practices to improve model transparency and auditing . QUALIFICATION 5+ years of experience in data engineering or related fields, with a strong focus on building scalable data pipelines to support machine learning workflows. Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or other relevant fields. Specific experience in Kafka needed . Snowflake and data bricks would be huge plus. Proven expertise in designing, implementing, and maintaining large-scale, high-performance data architectures and ETL processes managing 1TB a day. Strong knowledge of database management systems (SQL and NoSQL), distributed data processing (e.g., Hadoop, Spark), and cloud platforms (AWS, GCP, Azure). Experience working closely with data scientists and machine learning engineers to optimize data flows for model training and real-time inference with latency requirements. Hands-on experience with data wrangling, data preprocessing, and feature engineering to ensure clean, high-quality data for machine learning models. Solid understanding of data governance, security protocols, and compliance requirements (e.g., GDPR, HIPAA) to ensure data privacy and integrity. Preferred Experience in data pipelines and analytics for video-game development Experience in Advertising industry Experience in online businesses where transactions happen without human intervention. Show more Show less

Position: Data Analyst Intern (Full-Time) Company: Lead India Location: Remote Stipend: ₹25,000/month Duration: 1–3 months (Full-Time Internship) About Lead India: Lead India is a forward-thinking technology company that helps businesses make smarter decisions through data. We provide meaningful internship opportunities for emerging professionals to gain real-world experience in data analysis, reporting, and decision-making. Role Overview: We are seeking a Data Analyst Intern to support our data and product teams in gathering, analyzing, and visualizing business data. This internship is ideal for individuals who enjoy working with numbers, identifying trends, and turning data into actionable insights. Key Responsibilities: Analyze large datasets to uncover patterns, trends, and insights Create dashboards and reports using tools like Excel, Power BI, or Tableau Write and optimize SQL queries for data extraction and analysis Assist in data cleaning, preprocessing, and validation Collaborate with cross-functional teams to support data-driven decisions Document findings and present insights to stakeholders Skills We're Looking For: Strong analytical and problem-solving skills Basic knowledge of SQL and data visualization tools (Power BI, Tableau, or Excel) Familiarity with Python for data analysis (pandas, matplotlib) is a plus Good communication and presentation skills Detail-oriented with a willingness to learn and grow What You’ll Gain: ₹25,000/month stipend Real-world experience in data analysis and reporting Mentorship from experienced analysts and developers Remote-first, collaborative work environment Potential for a Pre-Placement Offer (PPO) based on performance Show more Show less

Job Description Design and develop machine learning models tailored to mechanical engineering challenges, including predictive modelling, simulation optimisation, and failure analysis. Utilise deep learning and other advanced ML techniques to improve the accuracy and efficiency of CAE simulations. Preprocess and analyse large datasets from CAE simulations, experimental tests, and manufacturing processes for modelling. Train, validate, and fine-tune machine learning models using real-world engineering data. Optimise models for performance, scalability, and robustness in production environments. Collaborate with CAE engineers to integrate ML models into existing simulation workflows (e.g., FEA, CFD, structural analysis). Automate repetitive simulation tasks and enable predictive analytics for design optimisation. Work closely with mechanical engineers, data scientists, and software developers to identify business challenges and develop data-driven solutions. Deploy machine learning models into production environments and monitor their performance. Maintain and update models to ensure reliability and continuous improvement. Stay abreast of the latest advancements in machine learning, AI, and CAE technologies. Apply innovative approaches to solve complex engineering problems. Requirements Bachelor’s or Master’s degree in Mechanical Engineering, Computer Science, or a related field Proven 2-3 years of experience in developing and deploying machine learning models, preferably in mechanical engineering or CAE domain Hands-on experience with CAE tools such as ANSYS, Abaqus, or similar FEA/CFD software Strong programming skills in Python, R, or Java Proficiency in machine learning frameworks (TensorFlow, PyTorch, scikit-learn) Experience with data preprocessing, feature engineering, and statistical analysis Solid understanding of mathematics, statistics, and problem-solving skills Excellent analytical thinking and ability to tackle complex engineering challenges Strong communication and teamwork skills to collaborate across disciplines Preferred: Experience with physics-informed machine learning and digital twin technologies Preferred: Familiarity with automation of CAE workflows and predictive modelling for product design Benefits Challenging job and a chance to team up with a young and dynamic professional group Chance to build yourself as WE grow. Remuneration that stays competitive and attractive to retain the best. Opportunity to join an organization experiencing year on year growth check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> Show more Show less

Job Description: As a Data Science Intern, you will collaborate with our data science and analytics teams to work on meaningful projects involving data analysis, predictive modeling, and statistical modeling. You will have the opportunity to apply your academic knowledge in a practical, fast-paced environment, contribute to key data-driven projects, and gain valuable experience with industry-leading tools and technologies. Responsibilities: Assist in collecting, cleaning, and preprocessing data from various sources. Perform exploratory data analysis to identify trends, patterns, and anomalies. Develop and implement machine learning models and algorithms. Create data visualizations and reports to communicate findings to stakeholders. Collaborate with team members on data-driven projects and research. Participate in meetings and contribute to discussions on project progress and strategy. Work with large datasets to clean, preprocess, and analyze data. Build and deploy statistical and machine learning models to generate actionable insights. Conduct exploratory data analysis (EDA) to uncover trends, patterns, and correlations. Assist in the creation of data visualizations and dashboards for reporting insights. Support the development and improvement of data pipelines and algorithms. Collaborate with cross-functional teams to understand data needs and translate them into actionable analytics solutions. Contribute to the documentation and presentation of results, findings, and recommendations. Participate in team meetings, brainstorming sessions, and project discussions. Requirements: Any Graduate / PassOuts / Freasher can apply. Currently pursuing a Bachelor's or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. Proficiency in programming languages such as Python, R, or SQL. Strong foundation in statistics, probability, and data analysis techniques. Benefits: Internship Certificate Letter of recommendation Stipend Performance Based Part time work from home (2-3 Hrs per day) 5 days a week, Fully Flexible Shift Show more Show less

We are looking for a highly skilled and results-driven Experienced Data Scientist to be at the forefront of developing and implementing Generative AI solutions that address critical business challenges and unlock new opportunities. This individual will leverage their deep expertise in data science, machine learning, and specifically Generative AI techniques to drive impactful projects from ideation to deployment. They will develop AI & ML solutions to tackle complex business challenges and facilitate data-driven decision-making through hands-on work with large datasets and strong collaboration with cross-functional teams to deliver significant results. Responsibilities: Data Handling & Preparation: Work with diverse and large-scale datasets. Perform data cleaning, preprocessing, feature engineering, and create synthetic datasets as needed for training and evaluating Generative AI models. Ensure data quality and integrity throughout the model development lifecycle. Model Optimization & Deployment: Optimize Generative AI models for performance, scalability, efficiency, and responsible AI considerations (bias detection and mitigation, hallucination reduction). Collaborate with Machine Learning Engineers and DevOps teams to deploy models into production environments and establish monitoring frameworks. Prompt Engineering & Fine-tuning: Develop effective prompts and fine-tuning strategies for Large Language Models to achieve desired outputs and adapt models to specific domains and tasks. Generative AI Model Development & Implementation: Design, develop, train, fine-tune, and deploy various Generative AI models, including but not limited to Large Language Models (LLMs), diffusion models, Generative Adversarial Networks (GANs), and Variational Autoencoders (VAEs), for applications such as: Text generation (content creation, summarization, chatbots). Image and video synthesis. Code generation and assistance. Synthetic data generation and augmentation. Research & Innovation: Stay current with the latest research and advancements in the field of Generative AI, exploring new architectures, methodologies, and tools. Proactively identify and evaluate opportunities to apply cutting-edge Generative AI techniques to solve business problems. Experimentation & Evaluation: Design and execute rigorous experiments to evaluate the performance of Generative AI models using relevant metrics (e.g., BLEU, ROUGE, FID, perplexity). Analyze experimental results, identify areas for improvement, and iterate on model development based on findings. Collaboration & Communication: Work closely with product managers, software engineers, researchers, and business stakeholders to understand requirements, communicate technical findings, and translate complex AI concepts to non-technical audiences. Documentation & Knowledge Sharing: Maintain comprehensive documentation of all development processes, models, and experimental results. Share knowledge and best practices with the broader data science and engineering teams. Ethical AI Practices: Adhere to ethical AI principles and guidelines in the development and deployment of Generative AI models, with a focus on fairness, transparency, and accountability. Show more Show less

Technical Expertise : (minimum 2 year relevant experience) ● Solid understanding of Generative AI models and Natural Language Processing (NLP) techniques, including Retrieval-Augmented Generation (RAG) systems, text generation, and embedding models. ● Exposure to Agentic AI concepts, multi-agent systems, and agent development using open-source frameworks like LangGraph and LangChain. ● Hands-on experience with modality-specific encoder models (text, image, audio) for multi-modal AI applications. ● Proficient in model fine-tuning, prompt engineering, using both open-source and proprietary LLMs. ● Experience with model quantization, optimization, and conversion techniques (FP32 to INT8, ONNX, TorchScript) for efficient deployment, including edge devices. ● Deep understanding of inference pipelines, batch processing, and real-time AI deployment on both CPU and GPU. ● Strong MLOps knowledge with experience in version control, reproducible pipelines, continuous training, and model monitoring using tools like MLflow, DVC, and Kubeflow. ● Practical experience with scikit-learn, TensorFlow, and PyTorch for experimentation and production-ready AI solutions. ● Familiarity with data preprocessing, standardization, and knowledge graphs (nice to have). ● Strong analytical mindset with a passion for building robust, scalable AI solutions. ● Skilled in Python, writing clean, modular, and efficient code. ● Proficient in RESTful API development using Flask, FastAPI, etc., with integrated AI/ML inference logic. ● Experience with MySQL, MongoDB, and vector databases like FAISS, Pinecone, or Weaviate for semantic search. ● Exposure to Neo4j and graph databases for relationship-driven insights. ● Hands-on with Docker and containerization to build scalable, reproducible, and portable AI services. ● Up-to-date with the latest in GenAI, LLMs, Agentic AI, and deployment strategies. ● Strong communication and collaboration skills, able to contribute in cross-functional and fast-paced environments. Bonus Skills ● Experience with cloud deployments on AWS, GCP, or Azure, including model deployment and model inferencing. ● Working knowledge of Computer Vision and real-time analytics using OpenCV, YOLO, and similar Show more Show less

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Overview: Lead the architecture and delivery of generative AI solutions, ensuring best practices in data processing, LLM integration, and AWS deployment. Key Responsibilities Architect and oversee AI/ML pipelines using AWS Bedrock for hosting and fine-tuning LLMs. Design and manage vector search infrastructure (OpenSearch or equivalent) for semantic retrieval. Define data workflows: text chunking, preprocessing, and vectorization (Python or similar). Evaluate and integrate LLMs (Anthropic Claude, OpenAI GPT, etc.), optimizing for cost, latency, and accuracy. Mentor engineers on coding standards (Python), CI/CD, and production deployment (Docker, Kubernetes/EKS). Qualifications 5+ years in AI/ML engineering, with 2+ years leading AI projects. Hands-on AWS Bedrock and OpenSearch experience. Strong Python skills for data pipelines and microservices. Familiar with LLM workflows (prompt engineering, fine-tuning). Solid communication and stakeholder-management abilities. Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC And Its Subsidiaries And Its Affiliates (collectively, “Orion,” “we” Or “us”) Are Committed To Protecting Your Privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) Explains What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy. Show more Show less

🧩 Job Overview: We’re looking for a skilled CAE Engineer with hands-on experience in plastic part simulation (Moldflow) and Multibody Dynamics (MBD) using tools such as RecurDyn (preferred), ADAMS, or MotionSolve . The ideal candidate will support design validation through structural and kinematic simulations across plastic components and complex assemblies. 🎯 Key Responsibilities: Perform Moldflow simulations (filling, packing, warpage) and suggest design optimizations. Conduct multibody dynamic simulations for mechanisms, linkages, and moving systems. Collaborate with design teams to ensure manufacturability and motion behavior alignment. Generate detailed technical reports and communicate results to cross-functional teams. 🛠 Skills Required: Moldflow Simulation Tools: Autodesk Moldflow Insight/Adviser Preprocessing Tools: HyperMesh (for meshing plastic and MBD components) Multibody Dynamics: RecurDyn (Preferred) / ADAMS / MotionSolve Good understanding of plastic behavior , tooling constraints , and kinematic systems CAD familiarity (CATIA, NX, or similar) Show more Show less

Greetings from TCS!!! TCS is hiring for Big Data Architect Location - PAN India Years of Experience - 9-14 years Job Description- Experience with Python, Spark, and Hive data pipelines using ETL processes Apache Hadoop development and implementation Experience with streaming frameworks such as Kafka Hands on experience in Azure/AWS/Google data services Work with big data technologies (Spark, Hadoop, BigQuery, Databricks) for data preprocessing and feature engineering. Show more Show less

🤖 We're Hiring: Machine Learning Intern (Remote | Flexible Timing) 📍 Location: Remote 🕒 Work Style: Fully Flexible 💼 Type: Unpaid Internship (Skill-Focused) 📅 Apply By: 20th June Are you fascinated by AI, automation, and building smart solutions? Step into the world of Machine Learning with Skillfied Mentor and gain hands-on experience with real-world data and algorithms. This internship is your launchpad to explore the power of machine learning in a mentorship-driven, remote-first environment. 💻 What You’ll Learn & Do: Work on real-world datasets and ML problem statements Apply algorithms using Python, scikit-learn, Pandas, and more Learn the complete ML pipeline: data preprocessing → model training → evaluation Understand model tuning and performance optimization Get personalized feedback from experienced ML mentors 🎓 You’re a Great Fit If You: Have a basic understanding of Python and machine learning concepts Are curious, analytical, and passionate about solving problems Are excited to build practical ML models (not just theory!) Want to grow your portfolio with real project experience Are eager to learn and open to feedback 🌟 Why Join Us? ✅ 100% Remote ✅ Flexible hours — learn at your own pace ✅ Mentorship by experienced ML professionals ✅ Internship Certificate + LOR on successful completion ✅ Real project exposure to boost your confidence and resume 🔔 Note: This is an unpaid internship , focused on learning, mentorship, and practical exposure . 📥 How to Apply: 🗓️ Deadline: 20th June 🚀 Build your ML journey from the ground up with Skillfied Mentor . Because learning by doing is the best kind of learning. Show more Show less

IT Full-Time Job ID: DGC00731 Chennai, Tamil Nadu 0-2 Yrs ₹1.5 - ₹03 Yearly Job description Software Development Assist in the design, development, and testing of Java applications and components. Write clean, maintainable, and efficient code under the guidance of senior developers. Work with cross-functional teams to gather requirements and understand project goals. Participate in code reviews and contribute to team discussions. Debugging and Troubleshooting: Identify and resolve bugs and issues in existing applications. Conduct testing to ensure the functionality and performance of applications. Create and maintain documentation for code, processes, and technical specifications. Assist in preparing user manuals and training materials as needed. Learning and Development: Stay updated with the latest industry trends and technologies related to Java development. Participate in training sessions, workshops, and team meetings to enhance skills. Qualifications: Currently pursuing a Bachelor s degree in Computer Science, Information Technology, or a related field. Strong understanding of Java programming and object-oriented concepts. Familiarity with web technologies (HTML, CSS, JavaScript) and frameworks (Spring, Hibernate) is a plus. Knowledge of databases (SQL, MySQL) and version control systems (Git) is preferred. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Job Title: Junior Developer - AI & Data Science We are seeking an enthusiastic BE Intern to join our AI & Data Science team. This internship provides an opportunity to work on cutting-edge projects in artificial intelligence, machine learning, and data analysis. The ideal candidate is passionate about data-driven solutions and eager to apply theoretical knowledge in a practical environment. Key Responsibilities: Assist in collecting, cleaning, and preprocessing large datasets for analysis. Conduct exploratory data analysis to identify trends and insights. Support the development and implementation of machine learning models. Collaborate with the team to test and optimize algorithms for performance. Research and Development: Conduct literature reviews on the latest AI and data science methodologies. Stay updated on emerging technologies and trends in the field. Work closely with cross-functional teams to understand project requirements and deliver solutions. Participate in team meetings, providing input and sharing ideas. Documentation and Reporting: Document methodologies, processes, and results for internal and external reporting. Prepare presentations to communicate findings to stakeholders. Engage in training sessions and workshops to enhance your skills in AI and data science. Contribute to team knowledge sharing and collaborative projects. Currently pursuing a Bachelor s degree in Computer Science, Data Science, Statistics, or a related field. Strong understanding of programming languages such as Python or R. Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, scikit-learn) is a plus. Basic knowledge of statistics and data visualization techniques. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities.

🤖 Job Opening: AI/ML Engineer – Fresher 📍 Location : Remote 🏢 Company : Appzime Technologies 💰 Salary : ₹25,000 – ₹30,000/month 🕒 Experience : 0–1 year (Fresher) 🧠 About the Role Are you passionate about Artificial Intelligence and Machine Learning? Do you dream in algorithms and live for model accuracy? At Appzime Technologies , we're inviting freshers to kickstart their career in AI/ML development and be a part of cutting-edge projects across multiple industries — from automation to predictive analytics. 🔬 Key Responsibilities Assist in developing and training ML models using Python and ML libraries (Scikit-learn, TensorFlow, PyTorch). Work on datasets — cleaning, preprocessing, feature extraction, and exploratory data analysis (EDA). Collaborate with data scientists and backend developers to integrate ML models into live systems. Contribute to AI-based automation, NLP tools, recommendation engines, and more. Stay updated with the latest in AI/ML research, tools, and best practices. ✅ Requirements B.Tech / BCA / MCA or equivalent in Computer Science, AI/ML, Data Science, or related field. Good understanding of ML algorithms (Linear Regression, Decision Trees, SVM, KNN, etc.). Hands-on experience in Python and libraries like NumPy , Pandas , Matplotlib , Scikit-learn . Familiar with deep learning concepts and frameworks (TensorFlow/Keras or PyTorch). Strong problem-solving attitude and a hunger to learn new tools. Bonus: Academic or personal ML projects, GitHub profile, or Kaggle participation. 🌟 Why Join Appzime? Opportunity to work on real-world AI/ML deployments from Day 1. Learn directly from experienced engineers and data scientists. Startup-style ownership, innovation, and fast learning curve. Expopsure to client work and cross-domain AI applications. Flexible work setup and access to premium AI tools & resources. 📧 Apply Now : careers@appzime.com Contact Person: https://www.linkedin.com/in/harshit2904/ Show more Show less

neoBIM is a well-funded start-up software company revolutionizing the way architects design buildings with our innovative BIM (Building Information Modelling) software. As we continue to grow, we are building a small and talented team of developers to drive our software forward. Tasks We are looking for a highly skilled Generative AI Developer to join our AI team. The ideal candidate should have strong expertise in deep learning, large language models (LLMs), multimodal AI, and generative models (GANs, VAEs, Diffusion Models, or similar techniques) . This role offers the opportunity to work on cutting-edge AI solutions, from training models to deploying AI-driven applications that redefine automation and intelligence. Develop, fine-tune, and optimize Generative AI models , including LLMs, GANs, VAEs, Diffusion Models, and Transformer-based architectures . Work with large-scale datasets and design self-supervised or semi-supervised learning pipelines . Implement multimodal AI systems that combine text, images, audio, and structured data. Optimize AI model inference for real-time applications and large-scale deployment. Build AI-driven applications for BIM (Building Information Modeling), content generation, and automation . Collaborate with data scientists, software engineers, and domain experts to integrate AI into production. Stay ahead of AI research trends and incorporate state-of-the-art methodologies . Deploy models using cloud-based ML pipelines (AWS/GCP/Azure) and edge computing solutions . Requirements Must-Have Skills Strong programming skills in Python (PyTorch, TensorFlow, JAX, or equivalent). Experience in training and fine-tuning Large Language Models (LLMs) like GPT, BERT, LLaMA, or Mixtral . Expertise in Generative AI techniques , including Diffusion Models (e.g., Stable Diffusion, DALL-E, Imagen), GANs, VAEs . Hands-on experience with transformer-based architectures (e.g., Vision Transformers, BERT, T5, GPT, etc.) . Experience with MLOps frameworks for scaling AI applications (Docker, Kubernetes, MLflow, etc.). Proficiency in data preprocessing, feature engineering, and AI pipeline development . Strong background in mathematics, statistics, and optimization related to deep learning. Good-to-Have Skills Experience in NeRFs (Neural Radiance Fields) for 3D generative AI . Knowledge of AI for Architecture, Engineering, and Construction (AEC) . Understanding of distributed computing (Ray, Spark, or Tensor Processing Units). Familiarity with AI model compression and inference optimization (ONNX, TensorRT, quantization techniques) . Experience in cloud-based AI development (AWS/GCP/Azure) . Benefits Work on high-impact AI projects at the cutting edge of Generative AI . Competitive salary with growth opportunities. Access to high-end computing resources for AI training & development. A collaborative, research-driven culture focused on innovation & real-world impact . Flexible work environment with remote options. Show more Show less

Job Title: Senior Machine Learning Engineer Location: On Site / [Gurgaon, India] Experience: 5+ Years Type: Full-time / Contract About the Role We are looking for an experienced Machine Learning Engineer with a strong background in building, deploying, and scaling ML models in production environments. You will work closely with Data Scientists, Engineers, and Product teams to translate business challenges into data-driven solutions and build robust, scalable ML pipelines. This is a hands-on role requiring a blend of applied machine learning, data engineering, and software development skills. Key Responsibilities Design, build, and deploy machine learning models to solve real-world business problems Work on the end-to-end ML lifecycle: data preprocessing, feature engineering, model selection, training, evaluation, deployment, and monitoring Collaborate with cross-functional teams to identify opportunities for machine learning across products and workflows Develop and optimize scalable data pipelines to support model development and inference Implement model retraining, versioning, and performance tracking in production Ensure models are interpretable, explainable, and aligned with fairness, ethics, and compliance standards Continuously evaluate new ML techniques and tools to improve accuracy and efficiency Document processes, experiments, and findings for reproducibility and team knowledge-sharing Requirements 5+ years of hands-on experience in machine learning, applied data science, or related roles Strong foundation in ML algorithms (regression, classification, clustering, NLP, time series, etc.) Experience with production-level ML deployment using tools like MLflow, Kubeflow, Airflow, FastAPI , or similar Proficiency in Python and libraries like scikit-learn, TensorFlow, PyTorch, XGBoost, pandas, NumPy Experience with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes) Strong understanding of software engineering principles and experience with Git, CI/CD, and version control Experience with large datasets, distributed systems (Spark/Databricks), and SQL/NoSQL databases Excellent problem-solving, communication, and collaboration skills Nice to Have Experience with LLMs, Generative AI , or transformer-based models Familiarity with MLOps best practices and infrastructure as code (e.g., Terraform) Experience working in regulated industries (e.g., finance, healthcare) Contributions to open-source projects or ML research papers Why Join Us Work on impactful problems with cutting-edge ML technologies Collaborate with a diverse, expert team across engineering, data, and product Flexible working hours and remote-first culture Opportunities for continuous learning, mentorship, and growth Show more Show less

Job Title: Artificial Intelligence Engineer Company: Humanoid Maker Location: Delhi Type: Full-Time Experience: 1–5 years Industry: Artificial Intelligence / Software Development / Robotics About Us: Humanoid Maker is a fast-growing innovator in AI, robotics, and automation solutions. We specialize in AI-powered software, robotic kits, refurbished IT hardware, and technology services that empower startups, businesses, and institutions across India. Our mission is to build intelligent systems that simplify lives and boost productivity. Role Overview: We are looking for a skilled and creative Artificial Intelligence Engineer to join our AI development team. This role involves building, training, and deploying machine learning models for various use cases including voice synthesis, natural language processing, computer vision, and robotics integration. Key Responsibilities: Develop, train, and fine-tune machine learning and deep learning models for real-world applications. Work on projects related to NLP, speech recognition, voice cloning, and robotic intelligence. Build APIs and tools to integrate AI features into applications and hardware systems. Optimize models for performance and deploy them in edge, desktop, or server environments. Collaborate with UI/UX and backend developers for full-stack AI system integration. Conduct data preprocessing, feature engineering, and dataset management. Continuously research and experiment with the latest AI advancements. Key Skills & Requirements: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field. 1–5 years of hands-on experience in developing AI/ML models. Strong knowledge of Python, PyTorch, TensorFlow, scikit-learn, etc. Experience with NLP libraries (e.g., Hugging Face Transformers, spaCy), and/or CV frameworks (OpenCV, YOLO). Familiarity with APIs, web frameworks (Flask/FastAPI), and databases (SQL or NoSQL). Bonus: Experience in robotics integration or embedded AI (Arduino/Raspberry Pi). What We Offer: Competitive salary based on experience. Opportunity to work on cutting-edge AI and robotics projects. Friendly and innovative team environment. Career growth in a rapidly expanding AI company. Access to high-performance computing tools and training resources. Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹50,000.00 per month Benefits: Paid sick time Supplemental Pay: Commission pay Overtime pay Performance bonus Yearly bonus Education: Bachelor's (Required) Experience: AI: 1 year (Required) Language: Hindi (Required) Work Location: In person

🤖 Machine Learning Intern – Remote | Step into the Future of AI Are you fascinated by how machines learn, predict, and improve over time? Dive into the world of intelligent systems with Skillfied Mentor as a Machine Learning Intern and gain real-world experience in building ML models and handling data. 📍 Location: Remote / Virtual 💼 Job Type: Internship (Unpaid) 🕒 Schedule: Flexible working hours 🌟 About the Internship: As a Machine Learning Intern , you’ll work on projects that involve real datasets, basic algorithms, and collaborative problem-solving. This is your chance to apply coding and math to develop intelligent solutions. Understand core ML concepts like regression, classification & clustering Work with Python libraries like Scikit-learn, Pandas, NumPy Assist in preprocessing data, training models, and analyzing performance Explore real use-cases in recommendation, prediction, and automation Collaborate remotely with mentors and peers in the AI/ML field 🔍 You’re a Great Fit If You: ✅ Know or are learning Python and ML concepts ✅ Are curious about how algorithms work behind the scenes ✅ Can commit 5–7 hours per week (remotely and flexibly) ✅ Are analytical, logical, and love experimenting with data ✅ Want to build practical machine learning projects for your future 🎁 What You’ll Gain: 📜 Certificate of Completion 📂 Hands-On ML Projects for Resume & GitHub 🧠 Practical Exposure to Model Building & Evaluation 📈 Experience in Solving Real Problems with Machine Learning ⏳ Last Date to Apply: 20th June 2025 Whether you're a student, beginner, or transitioning into AI – this internship will help you develop real, applicable skills in Machine Learning . 👉 Apply now and let your ML journey begin with Skillfied Mentor. Show more Show less

Key Responsibilities Training machine learning models using relevant datasets and algorithms to develop predictive or analytical solutions. Involves extensive work in Python programming, leveraging libraries such as scikit-learn, TensorFlow, or PyTorch to implement, test, and optimize models. Responsible for data preprocessing, feature engineering, model evaluation, and fine-tuning. Work closely under the guidance of senior team members, following best practices and collaborating on project goals and deliverables. Adherence to timelines, maintaining code quality, and continuous learning are also integral to successfully fulfilling this role in a dynamic team environment. About Company: At A3A Solutions, we specialize in delivering high-quality web and software development services tailored to meet the unique needs of each client. With a team of passionate developers, designers, and problem-solvers, we strive to create digital solutions that not only meet but exceed expectations. Our focus is on innovation, usability, and performance, ensuring that every project we deliver adds measurable value to your business. Whether you're a startup seeking an online presence or an established organization looking to scale your digital infrastructure, A3A Solutions is your trusted technology partner. We offer customized services including website design and development, software solutions, e-commerce platforms, and much more. Our mission is to empower businesses through technology, helping them navigate the digital landscape with confidence. Let us bring your ideas to life with precision, creativity, and excellence. Show more Show less

Job Title: Artificial Intelligence Engineer Company: Humanoid Maker Location: Delhi Type: Full-Time Experience: 1–5 years Industry: Artificial Intelligence / Software Development / Robotics About Us: Humanoid Maker is a fast-growing innovator in AI, robotics, and automation solutions. We specialize in AI-powered software, robotic kits, refurbished IT hardware, and technology services that empower startups, businesses, and institutions across India. Our mission is to build intelligent systems that simplify lives and boost productivity. Role Overview: We are looking for a skilled and creative Artificial Intelligence Engineer to join our AI development team. This role involves building, training, and deploying machine learning models for various use cases including voice synthesis, natural language processing, computer vision, and robotics integration. Key Responsibilities: Develop, train, and fine-tune machine learning and deep learning models for real-world applications. Work on projects related to NLP, speech recognition, voice cloning, and robotic intelligence. Build APIs and tools to integrate AI features into applications and hardware systems. Optimize models for performance and deploy them in edge, desktop, or server environments. Collaborate with UI/UX and backend developers for full-stack AI system integration. Conduct data preprocessing, feature engineering, and dataset management. Continuously research and experiment with the latest AI advancements. Key Skills & Requirements: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field. 1–5 years of hands-on experience in developing AI/ML models. Strong knowledge of Python, PyTorch, TensorFlow, scikit-learn, etc. Experience with NLP libraries (e.g., Hugging Face Transformers, spaCy), and/or CV frameworks (OpenCV, YOLO). Familiarity with APIs, web frameworks (Flask/FastAPI), and databases (SQL or NoSQL). Bonus: Experience in robotics integration or embedded AI (Arduino/Raspberry Pi). What We Offer: Competitive salary based on experience. Opportunity to work on cutting-edge AI and robotics projects. Friendly and innovative team environment. Career growth in a rapidly expanding AI company. Access to high-performance computing tools and training resources. Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹50,000.00 per month Benefits: Paid sick time Supplemental Pay: Commission pay Overtime pay Performance bonus Yearly bonus Education: Bachelor's (Required) Experience: AI: 1 year (Required) Language: Hindi (Required) Work Location: In person

Role Summary Pfizer’s purpose is to deliver breakthroughs that change patients’ lives. Research and Development is at the heart of fulfilling Pfizer’s purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best in class medicines to patients around the world. Pfizer is seeking a highly skilled and motivated AI Engineer to join our advanced technology team. The successful candidate will be responsible for developing, implementing, and optimizing artificial intelligence models and algorithms to drive innovation and efficiency in our Data Analytics and Supply Chain solutions. This role demands a collaborative mindset, a passion for cutting-edge technology, and a commitment to improving patient outcomes. Role Responsibilities Lead data modeling and engineering efforts within advanced data platforms teams to achieve digital outcomes. Provides guidance and may lead/co-lead moderately complex projects. Oversee the development and execution of test plans, creation of test scripts, and thorough data validation processes. Lead the architecture, design, and implementation of Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs. Lead the development of complex data products that benefit PGS and ensure reusability across the enterprise. Collaborate effectively with contractors to deliver technical enhancements. Oversee the development of automated systems for building, testing, monitoring, and deploying ETL data pipelines within a continuous integration environment. Collaborate with backend engineering teams to analyze data, enhancing its quality and consistency. Conduct root cause analysis and address production data issues. Lead the design, develop, and implement AI models and algorithms to solve sophisticated data analytics and supply chain initiatives. Stay abreast of the latest advancements in AI and machine learning technologies and apply them to Pfizer's projects. Provide technical expertise and guidance to team members and stakeholders on AI-related initiatives. Document and present findings, methodologies, and project outcomes to various stakeholders. Integrate and collaborate with different technical teams across Digital to drive overall implementation and delivery. Ability to work with large and complex datasets, including data cleaning, preprocessing, and feature selection. Basic Qualifications A bachelor's or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related discipline. Over 4 years of experience as a Data Engineer, Data Architect, or in Data Warehousing, Data Modeling, and Data Transformations. Over 2 years of experience in AI, machine learning, and large language models (LLMs) development and deployment. Proven track record of successfully implementing AI solutions in a healthcare or pharmaceutical setting is preferred. Strong understanding of data structures, algorithms, and software design principles Programming Languages: Proficiency in Python, SQL, and familiarity with Java or Scala AI and Automation: Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect. Ability to use GenAI or Agents to augment data engineering practices Preferred Qualifications Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake. ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica. Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing. Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Containerization: Understanding of Docker and Kubernetes for containerization and orchestration. Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files. Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune. Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets. Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch. Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship. Non-standard Work Schedule, Travel Or Environment Requirements Occasionally travel required Work Location Assignment: Hybrid The annual base salary for this position ranges from $96,300.00 to $160,500.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 12.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Information & Business Tech Show more Show less

This role on the Credit & Obligor Risk Analytics (CORA) Team requires in-depth climate knowledge, business analysis skills, and excellent communication to work in a multidisciplinary team. The successful candidate will be responsible for developing as well as implementing economic and financial models to assess the impacts of climate changes on Citi's wholesale lending portfolios, and for integrating solutions into the broader firmwide risk identification and stress testing framework. Responsibilities: Develops, enhances, and validates the methods of measuring and analyzing climate risk, for both physical and transition, to be used in risk identification and stress testing, with a focus on impact to commercial and retail real estates. Conducts data analysis, data mining, read and create formal statistical documentation, reports and work with Technology to address issues. Analyzes and interprets data reports, make recommendations addressing business needs. Generates statistical models to improve methods of obtaining and evaluating quantitative and qualitative data and identify relationships and trends in data and factors affecting research results. Validates assumptions; escalate identified risks and sensitive areas in methodology and process. Automates data extraction and data preprocessing tasks, perform ad hoc data analyses, design and maintain complex data manipulation processes, and provide documentation and presentations. Conducts analysis and packages it into detailed technical documentation report for validation purposes sufficient to meet regulatory guidelines and exceed industry standards. Qualifications: 5+ year's experience Good knowledge and understanding of a variety of model development and validation testing techniques covering risk models. Expertise in programming, data modelling and data management and proficient in Python, R, SQL, Unix/Linux operating system. Experience working in Big data environments; Intellectual curiosity to stay abreast of technological advances. Education: Bachelor’s/University degree or equivalent experience ------------------------------------------------------ Job Family Group: Risk Management ------------------------------------------------------ Job Family: Risk Analytics, Modeling, and Validation ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Job Title: Data Science Trainer Organization: SkillCircle Location: Guragaon Employment Type: Full-time Job Summary: SkillCircle is looking for a passionate and knowledgeable Data Science Trainer to mentor and guide students through their journey into the world of data science. The ideal candidate should have a strong foundation in Python, machine learning, data analytics, and the ability to simplify complex concepts for learners at various levels. Required Skills: * Proficiency in Python, Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn. * Knowledge of Machine Learning algorithms and their real-world applications. * Understanding of statistics, data preprocessing, and EDA. * Excellent communication and presentation skills. * Ability to engage and inspire students from non-technical backgrounds. Eligibility Criteria: * Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. * 2–5 years of experience in teaching/training or industry experience in data science roles. * Prior experience as a trainer or mentor is a plus. * Certifications in Data Science or Machine Learning (preferred but not mandatory). Perks and Benefits: * Competitive salary upto 60,000 max * Flexible working hours * Exposure to a large network of learners and tech professionals. * Opportunity to work on live projects and build personal brand through content/webinars. Show more Show less

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical businesses by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety. Our team thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. At AryaXAI, everyone contributes hands-on to our mission in a flat organizational structure that values curiosity, initiative, and exceptional performance. Qualifications This is a full-time remote role for a Principal Engineering Manager at AryaXAI. The Principal Engineering Manager will be responsible for engineering management, team leadership, software development, project management, and integration. 7+ years of experience in building and deploying enterprise-grade machine learning infra, SaaS software or data analytics solutions or online platforms Academic degree in Computer Science, Engineering, or a related field Strong background in Python programming, Distributed computing, Engineering, big data processing, and cloud computing (AWS, Azure, GCP, On-Premise) Experience in optimizing, scaling, and reliability of large-scale systems for various data modalities and AI models. Strong fundamentals and discipline in CI/CD pipelines, containerization (Docker, Kubernetes), and multi-cloud environments. Proven track record in product management in designing and delivering complex, high-performance solutions for large-scale enterprise customers without faults and ability to auto-scale the systems through delivering the essential SLAs in production during inferencing. Programming skills - expert in Python and solid coding practices Data Engineering - expert in MongoDB and strong fundamentals in data lakes, data storage, ETL pipelines, and building real-time data pipelines. Strong material skills, excellent communication, collaboration, and leadership skills with the ability to lead teams, mentor juniors, and work with other teams. Strong system architecture background that supports scaling in regulated industries. Experience in scaling AI/ML production systems using classic ML models, LLMs, and Deep Learning models on traditional hardware and high-performance computing. Roles And Responsibilities As Principal Engineer, you'll be the main SPOC for all the engineering efforts behind the AryaXAI platform, serving customers in SaaS and on-premise modes and scaling multiple AI models in startups, SMEs, and highly regulated industries. You'll be responsible for designing, modifying, and scaling architecture, as well as designing and implementing scalable infra for AI/ML solutions and data engineering. You'll be the SPOC with the R&D team collecting the productized components and adding and scaling these components on the platform. Architect and scale AI inferencing platform and related components for all data modalities like Tabular, text, image, video, etc. You'll be responsible for designing the AI Ops and AI Inferencing Ops - model building, data preprocessing, model inferencing, explainability, monitoring, alignment, risk management components. You'll work on running multiple optimizations on inferencing speed and latencies to serve multiple AI models - LLMs, DL models, classic ML models, etc. You'll be the SPOC with the pre-sales and solutions team to provide necessary documentation and specs and collect the requirements for enterprise deployments. You'll manage product development activities like scrum, reviewing the scrums, and optimizing productivity across teams - engineering, data science, and front end. You'll mentor and guide juniors and middle managers. You'll continuously improve the standards of the product, as well as the architecture, culture, and experience. What You’ll Get Highly competitive and meaningful compensation package One of the best health care plans that covers not only you but also your family A great team Micro-entrepreneurial tasks and responsibilities. Career development and leadership opportunities Show more Show less

Job Description : We are seeking a passionate and skilled AI Engineer ( Male) with 2–3 years of professional experience in Artificial Intelligence, Machine Learning, and Deep Learning. The ideal candidate will have hands-on knowledge of ML algorithms, NLP techniques, DL frameworks, and Computer Vision, along with a strong understanding of modern tools like Langchain, Ollama, and RAG architecture. This role offers the opportunity to work on cutting-edge AI applications, contribute to real-time system design, and collaborate with a team of talented engineers and researchers. Key Responsibilities: ● Design, develop, and deploy AI/ML models in production. ● Implement NLP pipelines including text preprocessing, tokenization, and sentiment analysis. ● Develop and optimize CNNs and RNNs/LSTMs for computer vision and time-series applications. ● Work on generative AI models including GANs, transformers, and LLMs. ● Conduct hyperparameter tuning and performance optimization. ● Collaborate with cross-functional teams to integrate AI solutions into existing systems. ● Prepare technical documentation and research reports. Required Skills & Knowledge : ● Proficiency in Python, along with NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch. ● Understanding of ML techniques: supervised, unsupervised, and reinforcement learning. ● Strong grasp of bias-variance tradeoff, overfitting, bagging vs boosting, and feature scaling. ● Experience with CNNs, RNNs, LSTMs, transfer learning, dropout, and batch normalization. ● Knowledge of NLP workflows, tokenization, stop words handling, and text classification. ● Exposure to Computer Vision: image classification, object detection, filters/kernels, face recognition. ● Hands-on experience or knowledge of tools such as MediaPipe, Langchain, RAG, Ollama, and Prompt Engineering. ● Experience using Git and issue-tracking tools like JIRA. Preferred Qualifications: ● B.Tech / M.Tech in Computer Science, AI, Data Science, or related fields. ● Experience with cloud-based AI/ML deployment (AWS, Azure, GCP). ● Familiarity with vector databases and face embedding techniques. ● Understanding of Generative AI, LLM hallucinations, and Agentic AI concepts. Share your resume to hr@nesasoftware.com or 7306377006 Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Work Location: In person