4224 Pytorch Jobs - Page 5

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 17th June 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds. Show more Show less

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 17th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 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

As an AI Engr I here at Honeywell, you will be responsible for supporting the design, development, and implementation of AI solutions. You will work closely with senior AI engineers and cross-functional teams to contribute to innovative projects that address business challenges and drive technological advancements. In this role, you will impact the development of AI algorithms and models, contributing to the integration of AI solutions into existing systems and processes. Your work will support the continuous improvement of AI technologies and help drive Honeywell's commitment to innovation. At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture.As an AI Engr I here at Honeywell, you will support the design, development, and implementation of AI solutions, working with senior engineers and cross-functional teams on innovative projects.You will report directly to our [Title] and you'll work out of our [City, State] location on a [Hybrid, On-site, Remote] work schedule.YOU MUST HAVE Bachelor's degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics Experience in AI-related technology projects Strong expertise in machine learning and deep learning technology WE VALUE Advanced degrees in Computer Science, Artificial Intelligence, or related fields Proficiency in programming languages such as Python, TensorFlow, and PyTorch Experience working in an agile development environment Ability to work in a fast-paced and dynamic environment Attention to detail and excellent problem-solving capability Key Responsibilities Assist in the design and development of AI algorithms and models Collaborate with cross-functional teams to integrate AI solutions into existing systems and processes Support the implementation and testing of AI solutions Stay up-to-date with the latest AI technologies and trends Contribute to the continuous improvement of AI development processes About Us Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable. Show more Show less

As an AI Engr I here at Honeywell, you will be responsible for supporting the design, development, and implementation of AI solutions. You will work closely with senior AI engineers and cross-functional teams to contribute to innovative projects that address business challenges and drive technological advancements. In this role, you will impact the development of AI algorithms and models, contributing to the integration of AI solutions into existing systems and processes. Your work will support the continuous improvement of AI technologies and help drive Honeywell's commitment to innovation. At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture.As an AI Engr I here at Honeywell, you will support the design, development, and implementation of AI solutions, working with senior engineers and cross-functional teams on innovative projects.You will report directly to our [Title] and you'll work out of our [City, State] location on a [Hybrid, On-site, Remote] work schedule.YOU MUST HAVE Bachelor's degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics Experience in AI-related technology projects Strong expertise in machine learning and deep learning technology WE VALUE Advanced degrees in Computer Science, Artificial Intelligence, or related fields Proficiency in programming languages such as Python, TensorFlow, and PyTorch Experience working in an agile development environment Ability to work in a fast-paced and dynamic environment Attention to detail and excellent problem-solving capability Key Responsibilities Assist in the design and development of AI algorithms and models Collaborate with cross-functional teams to integrate AI solutions into existing systems and processes Support the implementation and testing of AI solutions Stay up-to-date with the latest AI technologies and trends Contribute to the continuous improvement of AI development processes About Us Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable. Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 17th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Position: AI Lead – Generative AI Location : Navi Mumbai (Onsite) Engagement Type : Full-Time Experience Required : 4–6 Years Department : Artificial Intelligence Who We Are LinkCxO – The Exclusive Platform for Senior Leaders & CxOs LinkCxO is a premium, AI-powered platform built exclusively for senior and C-suite professionals. We aggregate high-quality business insights, industry-specific content, senior-level job opportunities, and curated executive events—delivered in one trusted space. Why LinkCxO? 🌐 30,000+ Verified Senior Members across industries 🧠 AI-Aggregated Business Insights from thousands of trusted sources 📅 Executive-Only Events : Conferences, webinars, and leadership roundtables 💼 10,000+ CxO/Senior-Level Jobs , curated and refreshed regularly 🤝 Exclusive Network for hiring, learning, collaboration, and brand visibility The Problem CxOs today are overwhelmed with scattered information, irrelevant events, and fragmented job platforms—none designed with their needs in mind. Our Solution LinkCxO offers a streamlined, AI-led, personalized platform that empowers senior professionals to explore jobs, insights, and events in one curated and verified space. Role Overview We are seeking a visionary and hands-on AI Lead – Generative AI to architect and scale cutting-edge AI solutions across the LinkCxO ecosystem. You’ll lead initiatives involving LLMs , RAG pipelines , multimodal models , and more—shaping how AI drives user engagement, personalization, and discovery. This is a highly collaborative role where you’ll work closely with the Founders , Product , and Engineering teams to embed intelligence into the core of a fast-growing platform designed for India’s senior leadership. Key Responsibilities 🧠 Strategy & Leadership Define and execute the Generative AI roadmap aligned with business goals Build and lead a team of ML engineers, data scientists, and AI researchers Partner with Product, Design, and Tech teams for scalable AI integration 🔧 Technical Execution Develop, fine-tune, and deploy generative AI models (LLMs, Transformers, Diffusion, RAG) Optimize model performance, latency, and cost in production environments Implement MLOps pipelines for training, deployment, monitoring, and iteration 🔬 Research & Innovation Stay updated with cutting-edge developments in generative and multimodal AI Experiment with open-source and proprietary models; contribute to patents/publications Integrate foundation models via APIs (e.g., OpenAI, Hugging Face, Anthropic) or custom setups ✅ Governance & Ethics Ensure AI systems are built with fairness, explainability, and ethical best practices Maintain compliance with data privacy laws and responsible AI principles Required Skills & Qualifications Master’s or Ph.D. in Computer Science, AI/ML, Mathematics, or related discipline Strong understanding of Transformers, GANs, VAEs, Diffusion Models Proficient with PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI APIs Proven experience in training or fine-tuning large-scale LLMs or foundation models Hands-on MLOps experience in model deployment and scaling Strong problem-solving skills and product-oriented mindset Preferred Qualifications Experience with Retrieval-Augmented Generation (RAG) or agent-based systems Familiarity with cloud platforms (AWS, GCP, Azure) and distributed architectures Contributions to open-source projects or AI research communities What We Offer 💡 A high-impact role in a fast-scaling, AI-first platform 🌍 Opportunity to shape how executives experience AI-driven insights and interactions 🧠 Cross-functional collaboration with strategic mentors and domain experts 🚀 Ownership and autonomy in building next-generation AI products from scratch Leadership You’ll Collaborate With 👔 Rajesh Padmanabhan – Chief Mentor Former CHRO at Capgemini, Vedanta & Welspun | UN Awardee for D&I 💡 Gyanesh Kumar – Founder & CEO Ex-CBO at Shine.com | Founder of ExoTalent & LeadersEdge | ISB & IIM Ahmedabad alumnus 🧠 Hema Gupta – Co-founder – CxO Hiring & Engagement 16+ years in executive search with deep domain focus in manufacturing & automotive 📊 Sumit Jha – Advisor – Chief Analytics Officer 18+ years in AI/ML across India, US & Europe | IIT-Kharagpur, IIM Shillong 🎯 Amitabh Kumar – Strategic Advisor & Executive Coach ICF-Certified | 800+ hours coaching | Featured in NDTV, TOI, CNBC Awaaz Show more Show less

Organization Snapshot: Birdeye is the leading all-in-one Experience Marketing platform , trusted by over 100,000+ businesses worldwide to power customer acquisition, engagement, and retention through AI-driven automation and reputation intelligence. From local businesses to global enterprises, Birdeye enables brands to deliver exceptional customer experiences across every digital touchpoint. As we enter our next phase of global scale and product-led growth , AI is no longer an add-on—it’s at the very heart of our innovation strategy . Our future is being built on Large Language Models (LLMs), Generative AI, Conversational AI, and intelligent automation that can personalize and enhance every customer interaction in real time. Job Overview: Birdeye is seeking a Senior Data Scientist – NLP & Generative AI to help reimagine how businesses interact with customers at scale through production-grade, LLM-powered AI systems . If you’re passionate about building autonomous, intelligent, and conversational systems , this role offers the perfect platform to shape the next generation of agentic AI technologies. As part of our core AI/ML team, you'll design, deploy, and optimize end-to-end intelligent systems —spanning LLM fine-tuning , Conversational AI , Natural Language Understanding (NLU) , Retrieval-Augmented Generation (RAG) , and Autonomous Agent frameworks . This is a high-impact IC role ideal for technologists who thrive at the intersection of deep NLP research and scalable engineering . Key Responsibilities: LLM, GenAI & Agentic AI Systems Architect and deploy LLM-based frameworks using GPT, LLaMA, Claude, Mistral, and open-source models. Implement fine-tuning , LoRA , PEFT , instruction tuning , and prompt tuning strategies for production-grade performance. Build autonomous AI agents with tool use , short/long-term memory , planning , and multi-agent orchestration (using LangChain Agents, Semantic Kernel, Haystack, or custom frameworks). Design RAG pipelines with vector databases ( Pinecone , FAISS , Weaviate ) for domain-specific contextualization. Conversational AI & NLP Engineering Build Transformer-based Conversational AI systems for dynamic, goal-oriented dialog—leveraging orchestration tools like LangChain, Rasa, and LLMFlow. Implement NLP solutions for semantic search , NER , summarization , intent detection , text classification , and knowledge extraction . Integrate modern NLP toolkits: SpaCy, BERT/RoBERTa, GloVe, Word2Vec, NLTK , and HuggingFace Transformers . Handle multilingual NLP, contextual embeddings, and dialogue state tracking for real-time systems. Scalable AI/ML Engineering Build and serve models using Python , FastAPI , gRPC , and REST APIs . Containerize applications with Docker , deploy using Kubernetes , and orchestrate with CI/CD workflows. Ensure production-grade reliability, latency optimization, observability, and failover mechanisms. Cloud & MLOps Infrastructure Deploy on AWS SageMaker , Azure ML Studio , or Google Vertex AI , integrating with serverless and auto-scaling services. Own end-to-end MLOps pipelines : model training, versioning, monitoring, and retraining using MLflow , Kubeflow , or TFX . Cross-Functional Collaboration Partner with Product, Engineering, and Design teams to define AI-first experiences. Translate ambiguous business problems into structured ML/AI projects with measurable ROI. Contribute to roadmap planning, POCs, technical whitepapers, and architectural reviews. Technical Skillset Required Programming : Expert in Python , with strong OOP and data structure fundamentals. Frameworks : Proficient in PyTorch , TensorFlow , Hugging Face Transformers , LangChain , OpenAI/Anthropic APIs . NLP/LLM : Strong grasp of Transformer architecture , Attention mechanisms , self-supervised learning , and LLM evaluation techniques . MLOps : Skilled in CI/CD tools, FastAPI , Docker , Kubernetes , and deployment automation on AWS/Azure/GCP . Databases : Hands-on with SQL/NoSQL databases, Vector DBs , and retrieval systems. Tooling : Familiarity with Haystack , Rasa , Semantic Kernel , LangChain Agents , and memory-based orchestration for agents. Applied Research : Experience integrating recent GenAI research (AutoGPT-style agents, Toolformer, etc.) into production systems. Bonus Points Contributions to open-source NLP or LLM projects. Publications in AI/NLP/ML conferences or journals. Experience in Online Reputation Management (ORM) , martech, or CX platforms. Familiarity with reinforcement learning , multi-modal AI , or few-shot learning at scale. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Title-Senior Developer Overall Years Of Experience-3 To 5 Years Relevant Years of Experience-3+ Technical Lead: The Artificial Intelligence (AI) & Machine Learning (ML) Developer is responsible for designing and implementing solutions based on AI and Machine Learning. Position Summary 3+yrs of experience in a similar profile with strong service delivery background Lead and guide a team of Junior Developers. Design technical specifications for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same. Contribute to products or tools built on Artificial Intelligence technologies and paradigms, that can enable high-value offerings. Building AI solutions would involve the use and creation of AI and ML techniques including but not limited to deep learning, computer vision, natural language processing, search, information retrieval, information extraction, probabilistic graphical models and machine learning. Plan and implement version control of source control Define and implement best practises for software development Excellent computer skills - proficient in excel, PowerPoint, word and outlook Excellent interpersonal skills and a collaborative management style Ability to analyse and suggest solutions Strong command on verbal and written English language Essential Roles and Responsibilities Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implementing the same in production. Solid understanding and experience of deep learning architectures and algorithms Experience solving problems in industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders etc Should have experience of 2-3 production implementation of machine learning projects. Knowledge of open source libraries such as Keras, Tensor Flow, Pytorch Work with business analysts/consultants and other necessary teams to create a strong solution Should have in depth understanding and experience of Data science and Machine Learning projects using Python, R etc Skills in Java/C are a plus Should developing solutions using python in AI/ML projects Should be able to train and build a team of technical developers Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC Desired to have knowledge on any of the cloud solutions such as Azure or AWS Desired to have knowledge on any of container technology such as Docker Should be able to work with a multi culture global teams and team virtually Should be able to build strong relationship with project stakeholders Should be able to build strong relationship with project stakeholders EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role As the Director, AI/ML Technology and Architecture at one of the largest global Media & Entertainment companies, you will be at the forefront of leading cutting-edge AI and machine learning initiatives that redefine how our organization leverages technology to stay ahead in a fast-evolving industry. Your role will directly contribute to shaping and scaling AI-driven solutions that power innovation, optimize content creation, distribution, and user engagement, all while driving business value and operational efficiency. You will work alongside a talented team of data scientists, engineers, and business leaders to establish a robust AI/ML strategy, build sustainable architectures, and ensure that technology aligns with the company's long-term vision. This position offers you the opportunity to work on impactful projects in a creative and dynamic environment where AI and ML are transforming the way content is produced and consumed globally. If you are an innovator with a passion for AI technology and its real-world applications, this is your chance to make a lasting impact. AI/ML Architecture & Strategy Define and evolve the long-term AI/ML architecture roadmap, ensuring scalability, maintainability, and integration with existing systems. Conduct thorough technology evaluations and vendor assessments to identify and select the most suitable AI/ML tools, platforms, and technologies. Develop and implement best practices, guidelines, and standards for AI/ML development and deployment across the organization. Collaborate with business stakeholders to understand their needs and translate them into clear and actionable AI/ML strategies. Drive innovation by exploring and evaluating emerging AI/ML technologies and their potential applications within the media and entertainment domain. AI/ML Platform & Infrastructure Design, build, and maintain a robust and scalable AI/ML platform that supports the entire lifecycle of AI/ML model development, from data ingestion and feature engineering to model training, deployment, and monitoring. Ensure the security, reliability, and performance of the AI/ML infrastructure, including data privacy, compliance, and disaster recovery. Optimize resource utilization and cost-effectiveness of the AI/ML platform through efficient resource allocation and infrastructure management. Collaborate with IT and cloud operations teams to ensure seamless integration and smooth operation of the AI/ML platform. Monitor and analyze platform performance, identify bottlenecks, and implement necessary improvements to enhance efficiency and scalability. AI/ML Model Development & Deployment Oversee the development and deployment of high-quality and impactful AI/ML models across various domains, such as content recommendation, personalization, content creation, and fraud detection. Ensure the quality, accuracy, and fairness of AI/ML models through rigorous testing, validation, and monitoring. Develop and implement MLOps best practices, including CI/CD pipelines, automated testing, and model monitoring, to streamline the model development and deployment process. Collaborate with data scientists and engineers to ensure efficient and effective model training, deployment, and maintenance. Drive the adoption of AI/ML models across the organization through clear communication, training, and support. Team Leadership & Management Lead and mentor a high-performing team of AI/ML engineers and architects. Foster a collaborative and innovative team culture that encourages experimentation, learning, and growth. Recruit, hire, and onboard top talent in the field of AI/ML. Provide guidance and support to team members on technical challenges and career development. Track team performance, identify areas for improvement, and implement necessary changes to enhance team effectiveness. Governance and Compliance Ensure all AI/ML initiatives adhere to regulatory requirements, ethical guidelines, and company policies. Define processes for monitoring, auditing, and improving AI models in production. Advocate for responsible AI practices within the organization. Qualifications & Experiences Academic Qualifications: Master’s or Ph.D. degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field from a recognized university. Specialized certifications or training in AI, Machine Learning, Deep Learning, or similar areas are a plus. Professional Experience 12+ years of experience in AI/ML technologies, with at least 8+ years in a leadership role overseeing large-scale AI/ML projects and teams. Proven experience in leading AI/ML architecture design, deployment, and optimization in enterprise-scale environments, preferably within a Media & Entertainment or similar high-tech industry. Strong track record of implementing cloud-based AI solutions (AWS, Azure, GCP) and experience with AI/ML frameworks (TensorFlow, PyTorch, Keras, etc.). Extensive experience in building, scaling, and maintaining AI platforms, machine learning models, and data architectures. Expertise in integrating AI/ML technologies with business processes, including content management, user analytics, and personalized recommendations. Technical Skills Expertise in AI/ML model development, architecture design, and advanced analytics. Deep understanding of cloud-native AI technologies, big data systems, and distributed computing. Experience with AI model deployment pipelines, continuous integration, and delivery (CI/CD). Proficiency in multiple programming languages (Python, Java, C++, etc.) and machine learning libraries. In-depth knowledge of data engineering, data pipelines, and data lake architecture. Other Skills Exceptional leadership and people management skills, with experience managing cross-functional teams. Strong communication skills, with the ability to convey complex technical concepts to business leaders and stakeholders. Deep understanding of AI ethics, privacy, and governance principles. Strong problem-solving abilities, with a passion for innovation and creativity. Proven ability to collaborate effectively across departments and lead change in a complex, fast-paced environment. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. Show more Show less

About Nourma We're building the AI-powered finance operating system that transforms how companies manage their financial operations. Our Decision Intelligence platform combines LLMs, multi-agent systems, and real-time data integration to create an intelligent finance team The Role We're seeking an AI/ML Engineer with deep expertise in LangChain, LlamaIndex, PydanticAI, and modern Python frameworks to architect and build the core intelligence layer of Nourma. Key Responsibilities LLM Orchestration & RAG Development (LangChain/LlamaIndex/PydanticAI Focus) Architect complex LangChain pipelines for multi-agent financial workflows Build production RAG systems using LlamaIndex for financial document retrieval Implement agents with strong type safety and structured outputs Design and implement: Chain-of-thought reasoning for financial analysis Dynamic prompt routing based on query complexity Memory management for long-running financial conversations Tool integration for agents to access GL, bank feeds, and operational data Optimise token usage and response latency for real-time WhatsApp interactions API Development & Integration (FastAPI Focus) Build high-performance FastAPI services for: Agent-to-agent communication protocols WhatsApp webhook processing with sub-second response Real-time financial data APIs for frontend consumption Design GraphQL schemas for flexible financial data queries Implement WebSocket connections for live financial updates Create robust error handling and retry mechanisms for financial integrations Vector Database & Semantic Search (Chroma Focus) Design and optimise Chroma collections for: Financial document embeddings (loan agreements, invoices) Conversation history and context retrieval Business logic and rule storage Implement hybrid search combining vector similarity and metadata filtering Build embedding pipelines for various document types (PDFs, emails, chat logs) Infrastructure & Scalability Deploy and manage LLM applications. Implement Redis caching strategies for LLM responses and financial data Design microservices architecture for agent deployment Set up monitoring and observability for AI pipelines Technical Requirements Must Have - Core Technologies Expert-level proficiency in: LangChain : Custom chains, agents, tools, memory systems LlamaIndex : Document stores, indices, query engines PydanticAI : Agent frameworks, type-safe LLM interactions, structured outputs FastAPI : Async programming, dependency injection, middleware Strong experience with Python async/await patterns Production experience with Chroma or similar vector databases Proficiency with Redis for caching and session management Experience with data pipeline and storage tools (Kafka, Spark, Airflow) for building scalable systems Nice to Have Knowledge of PostgreSQL and BigQuery for analytical workloadsUnderstanding of financial data structures (journal entries, chart of accounts) Experience with financial APIs (QuickBooks, Xero, Plaid, banking APIs) Knowledge of data consistency requirements for financial systems GraphQL schema design and optimisation Experience with WhatsApp Business API Background in fintech or accounting software Tech Stack LLMs : GPT-4, Claude, open-source models ML/AI : LangChain, LlamaIndex, PydanticAI, PyTorch, Transformers Vector DB : Chroma Data : PostgreSQL, BigQuery, Apache Kafka, Spark, Airflow APIs : FastAPI, GraphQL Infrastructure : AWS/GCP, Kubernetes, Docker, Redis Monitoring : Prometheus, Grafana, OpenTelemetry What We Offer Work on cutting-edge problems combining LLMs with real-time financial data Build systems processing millions of financial transactions Direct impact on how thousands of companies manage finances Work directly with founders and shape technical direction  Ideal Candidate Profile You're excited about: Building production LangChain and PydanticAI applications at scale Creating high-performance APIs that power AI agents Designing scalable architectures for financial data processing Working with cutting-edge LLM technologies You've probably: Built production LangChain/LlamaIndex/PydanticAI applications serving 1000+ users Created FastAPI services handling high-throughput LLM requests Worked with vector databases in production environments Designed data processing pipelines for financial or similar domains Contributed to open-source AI/ML projects Show more Show less

Job Title: Founding AI Solutions Architect About the Role: We are looking for a visionary Founding AI Solutions Architect to define, design, and implement advanced AI solutions across our entire product ecosystem. You will extend beyond LLM-focused solutions, overseeing comprehensive AI strategies, model selection, and end-to-end system architecture. Responsibilities: Identify and articulate strategic AI opportunities across diverse business use-cases. Evaluate, recommend, and architect holistic AI solutions, incorporating large language models (LLMs), computer vision, predictive analytics, and other advanced techniques. Develop technical blueprints, architecture diagrams, and proof-of-concept prototypes to validate solutions. Select optimal AI models, platforms, and infrastructure aligned with business objectives and scalability. Collaborate with engineering teams to guide implementation, integration, and optimization of AI solutions. Continuously research emerging AI technologies and recommend strategic adaptations. Qualifications: Extensive experience designing, architecting, and deploying scalable AI-driven systems. Deep expertise across multiple AI domains including NLP, computer vision, predictive modeling, and generative AI. Proficiency in cloud infrastructure (AWS, GCP, Azure) and AI services. Strong programming skills (Python, Java, or equivalent) and familiarity with frameworks like TensorFlow, PyTorch, Hugging Face, and OpenAI APIs. Demonstrated capability in translating complex business problems into robust technical architectures. Startup experience or entrepreneurial background strongly preferred. What We Offer: High-impact foundational role with significant autonomy and influence. Opportunity to architect and scale groundbreaking AI solutions. Competitive compensation package including substantial equity. Supportive, innovative, and agile team culture. 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

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Job Description- GCP Cloud Architecture. Model Deployment Lifecycle Knowledge of creating Training & Serving Pipeline Familiar with any one of workflow: Kubeflow, Airflow, ML Flow, Argo etc" Strong in Python Adequate SQL skill Must have skill : Python, SQL, ML Engineer (Model Deployment/MLOPS), ML Pipeline-(Kubeflow, Airflow Flow, Argo etc,) Preferred Skill: Pytorch, TensorFlow, Exp in hiper scaler/Cloud Service, Deep learning framework, Reinvent your world.¿We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

About the Role : We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage. Responsibilities Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics. Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks. Fine-tune pre-trained models and develop custom models based on specific business needs. Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production. Collaborate with frontend/backend engineers to build AI-driven features into products or platforms. Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows. Ensure scalability and performance of deployed AI solutions within the full application stack. Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models. Design and implement APIs or services that expose machine learning models to frontend or other systems Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions. Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems. Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions. Document processes, methodologies, and results for future reference and reproducibility. Required Skills & Qualifications Experience : 5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects. AI/ML Expertise : Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems. Programming Languages : Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Data Manipulation : Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets. Model Development : Expertise in building, training, deploying, and fine-tuning machine learning models in production environments. Cloud Platforms : Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models. MLOps : Knowledge of MLOps practices for model versioning, automation, and monitoring. Data Preprocessing : Proficient in data cleaning, feature engineering, and preparing datasets for model training. Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration. Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving. Understanding of system design and software architecture for integrating AI into production environments. Experience with frontend/backend integration (basic React/Next.js knowledge is a plus). Demonstrated projects where AI models were part of deployed user-facing applications. NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects. Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions. Nice to Have Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques. Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes. Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.). Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes. Solid understanding of statistics and probability. Experience working in Agile development environments. What You'll Gain Be part of a forward-thinking team working on cutting-edge AI/ML technologies. Collaborate with a diverse, highly skilled team in a fast-paced environment. Opportunity to work on impactful projects with real-world applications. Competitive salary and career growth opportunities Job Type: Full-time Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Schedule: Day shift Fixed shift Work Location: In person

Note: Please apply only if you have 6 years or more of relevant experience in Data Science (excluding internship) Comfortable working 5-days a week from Gurugram, Haryana Are an immediate joiner or currently serving your notice period About Eucloid At Eucloid, innovation meets impact. As a leader in AI and Data Science, we create solutions that redefine industries—from Hi-tech and D2C to Healthcare and SaaS. With partnerships with giants like Databricks, Google Cloud, and Adobe, we’re pushing boundaries and building next-gen technology. Join our talented team of engineers, scientists, and visionaries from top institutes like IITs, IIMs, and NITs. At Eucloid, growth is a promise, and your work will drive transformative results for Fortune 100 clients. What You’ll Do As a GenAI Engineer, you will play a pivotal role in designing and deploying data-driven and GenAI-powered solutions. Your responsibilities will include: Analyzing large sets of structured and unstructured data to extract meaningful insights and drive business impact. Designing and developing Machine Learning models, including regression, time series forecasting, clustering, classification, and NLP. Building, fine-tuning, and deploying Large Language Models (LLMs) such as GPT, BERT, or LLaMA for tasks like text summarization, generation, and classification. Working with Hugging Face Transformers, LangChain, and vector databases (e.g., FAISS, Pinecone) to develop scalable GenAI pipelines. Applying prompt engineering techniques and Reinforcement Learning with Human Feedback (RLHF) to optimize GenAI applications. Building and deploying models using Python, R, TensorFlow, PyTorch, and Scikit-learn within production-ready environments like Flask, Azure Functions, and AWS Lambda. Developing and maintaining scalable data pipelines in collaboration with data engineers. Implementing solutions on cloud platforms like AWS, Azure, or GCP for scalable and high-performance AI/ML applications. Enhancing BI and visualization tools such as Tableau, Power BI, Qlik, and Plotly to communicate data insights effectively. Collaborating with stakeholders to translate business challenges into GenAI/data science problems and actionable solutions. Staying updated on emerging GenAI and AI/ML technologies and incorporating best practices into projects. What Makes You a Fit Academic Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. Technical Expertise: 6+ years of hands-on experience in applying Machine Learning techniques (clustering, classification, regression, NLP). Strong proficiency in Python and SQL, with experience in frameworks like Flask or Django. Expertise in Big Data environments using PySpark. Deep understanding of ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Hands-on experience with Hugging Face Transformers, OpenAI API, or similar GenAI libraries. Knowledge of vector databases and retrieval-augmented generation (RAG) techniques. Proficiency in cloud-based AI/ML deployment on AWS, Azure, or GCP. Experience in Docker and containerization for ML model deployment. Knowledge of code management methodologies and best practices for implementing scalable ML/GenAI solutions. Extra Skills: Experience in Deep Learning and Reinforcement Learning. Hands-on experience with NLP, Text Mining, and LLM architectures. Experience in business intelligence and data visualization tools (Tableau, Power BI, Qlik). Experience with prompt engineering and fine-tuning LLMs for production use cases. Ability to effectively communicate insights and translate technical work into business value. Why You’ll Love It Here Innovate with the Best Tech: Work on groundbreaking projects using AI, GenAI, LLMs, and massive-scale data platforms. Tackle challenges that push the boundaries of innovation. Impact Industry Giants: Deliver business-critical solutions for Fortune 100 clients across Hi-tech, D2C, Healthcare, SaaS, and Retail. Partner with platforms like Databricks, Google Cloud, and Adobe to create high-impact products. Collaborate with a World-Class Team: Join exceptional professionals from IITs, IIMs, NITs, and global leaders like Walmart, Amazon, Accenture, and ZS. Learn, grow, and lead in a team that values expertise and collaboration. Accelerate Your Growth: Access our Centres of Excellence to upskill and work on industry-leading innovations. Your professional development is a top priority. Work in a Culture of Excellence: Be part of a dynamic workplace that fosters creativity, teamwork, and a passion for building transformative solutions. Your contributions will be recognized and celebrated. About Our Leadership Anuj Gupta – Former Amazon leader with over 22 years of experience in building and managing large engineering teams. (B.Tech, IIT Delhi; MBA, ISB Hyderabad). Raghvendra Kushwah – Business consulting expert with 21+ years at Accenture and Cognizant (B.Tech, IIT Delhi; MBA, IIM Lucknow). Key Benefits Competitive salary and performance-based bonus. Comprehensive benefits package, including health insurance and flexible work hours. Opportunities for professional development and career growth. Location: Gurugram Submit your resume to saurabh.bhaumik@eucloid.com with the subject line “ Application: GenAI Engineer. ” Eucloid is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment. Show more Show less

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 17th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds. Show more Show less

Job Title: Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 17th June 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds. Show more Show less

Job Title: Tech Lead Location: Gurugram (On-site) Employment Type: Full-Time About Aaizel Tech Labs Aaizel Tech Labs is a cutting-edge tech startup specializing in cybersecurity, AI, geospatial solutions, and more. We are at the forefront of technological innovation, committed to developing breakthrough products and solutions that drive industry transformation. Join our dynamic team and work directly with our CTO, contributing to strategic technical decisions and solving complex challenges. Role Overview We are seeking an experienced Tech Lead with a minimum of 8+ years of industry experience. This role requires a deep understanding of multiple technical domains. The ideal candidate will possess in-depth expertise in at least 5-6 of the following areas: Software Development, Geospatial, Meteorology, Frontend, Backend, Embedded Systems, AI, ML, Generative AI, Cloud, System Architecture, Solution Architecture, DevOps, Cybersecurity, Blockchain, among others. You will serve as the right-hand expert to our CTO, helping troubleshoot complex technical problems, guide project teams, and drive innovation across the company. Key Responsibilities Technical Leadership & Collaboration CTO Support: Provide direct assistance to the CTO in evaluating, planning, and executing technology strategies. Cross-Domain Expertise: Leverage your multi-domain expertise to support diverse projects, ensuring technical excellence across teams. Project Guidance: Lead technical discussions, architecture reviews, and troubleshooting sessions across multiple technology stacks. Solution Architecture & System Design Design & Development: Contribute to designing robust, scalable solutions that integrate multiple technologies. Technical Roadmaps: Collaborate in developing and refining technical roadmaps and architecture blueprints. Technology Evaluation: Assess and recommend new technologies, frameworks, and best practices to improve product performance and security. Problem Solving & Innovation Issue Resolution: Diagnose and resolve critical technical issues across software development, cloud infrastructure, security, and other domains. Innovation Catalyst: Drive innovation by identifying opportunities for automation, process improvements, and technology enhancements. Mentorship: Mentor and guide technical teams, fostering a culture of continuous learning and high performance. Domain Expertise Integration Multi-Domain Strategy: Utilize your expertise in at least 5-6 domains (such as Software Development, Geospatial, Meteorology, AI/ML, Cloud, Cybersecurity, Blockchain, etc.) to support and optimize our solutions. Interdisciplinary Collaboration: Work closely with domain-specific teams to ensure integration and alignment of technical strategies across projects. Standards & Best Practices: Establish and enforce technical standards and best practices within your areas of expertise. Technical Stack Specificity Programming Languages Proficiency in at least 3-4 of the following languages: Python (Primary data science, AI/ML, backend development) JavaScript/TypeScript (Frontend and full-stack development) Java/Kotlin (Enterprise and Android development) C/C++ (Embedded systems and performance-critical applications) Go (Cloud-native and systems programming) Rust (Systems programming with high security) R (Statistical computing and geospatial analysis) Frameworks and Technologies Web Frameworks: React, Angular, or Vue.js Django, Flask, or FastAPI Node.js, Express.js Mobile Development: React Native Flutter Kotlin/Swift Cloud Platforms: AWS (Amazon Web Services) Google Cloud Platform Microsoft Azure Containerization and Orchestration: Docker Kubernetes Helm AI/ML Frameworks: TensorFlow PyTorch Keras scikit-learn Blockchain: Ethereum Hyperledger Fabric Solidity DevOps Tools: Jenkins GitLab CI/CD Terraform Ansible Cybersecurity Tools: Wireshark Metasploit OWASP ZAP Burp Suite Technology Vision Alignment Technology Roadmap Focus Areas Advanced AI and Machine Learning capabilities Enhanced Cybersecurity solutions Geospatial intelligence platforms Edge computing and IoT integration Blockchain and decentralized technologies Collaborative Innovation Model Regular technology forums and knowledge-sharing sessions Partnerships with academic institutions and research centers Open-source contributions and community engagement Internal hackathons and innovation challenges Required Skills & Qualifications Experience Minimum 8+ years of hands-on experience in technical leadership or advanced technical role. Educational Background Bachelor's or Master's degree in computer science, Engineering, or a related technical field. Domain Expertise Demonstrable expertise in at least 5-6 of the following areas: Software Development (Full-stack, Mobile, or Desktop) Geospatial Technologies Meteorological Systems Frontend/Backend Development Embedded Systems Artificial Intelligence, Machine Learning, Generative AI Cloud Computing & Infrastructure System Architecture & Solution Architecture DevOps & Automation Cybersecurity Blockchain Technologies Technical Skills Proficiency in multiple programming languages and frameworks. Strong understanding of system integration, microservices, and distributed architectures. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes). Deep knowledge of security best practices and modern cybersecurity strategies. Problem-Solving Exceptional analytical and problem-solving skills, with the ability to manage complex technical challenges. Communication Excellent communication and leadership skills, with experience presenting technical concepts to both technical and non-technical stakeholders. Collaboration Proven ability to work in cross-functional teams and mentor junior technical staff. Preferred Skills Certifications Relevant certifications in cloud technologies, cybersecurity, or project management are a plus. Innovative Mindset A track record of contributing to or leading innovative projects that integrate emerging technologies. Agile Methodologies Familiarity with Agile and DevOps practices, with experience in continuous integration/continuous deployment (CI/CD). Strategic Thinking Ability to see the big picture while diving deep into technical details as needed. Why Join Aaizel Tech Labs? Direct Impact: Work closely with the CTO and senior leadership, playing a key role in shaping the company's technology strategy. Diverse Projects: Engage with a broad range of cutting-edge technologies across multiple domains. Growth & Innovation: Be part of an innovative startup where your expertise can directly influence product development and strategic decisions. Collaborative Culture: Join a vibrant team that values knowledge sharing, creativity, and continuous improvement. How to Apply If you are a seasoned technical expert ready to drive innovation and support our technology leadership, please send your resume, cover letter, and portfolio (if applicable) to hr@aaizeltech.com , bhavik@aaizletech.com or anju@aaizeltech.com. Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 17th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 17th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

Job Title: Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 17th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 17th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 17th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python or R for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 17th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀 Show more Show less

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 17th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds . Show more Show less