1187 Aiml Jobs - Page 11

We're Hiring: AI/ML Platform Lead Are you passionate about driving cutting-edge AI and machine learning initiatives? Join as an AI/ML Platform Lead and lead the future of intelligent data solutions! Job Description & Requirements: Were looking for a dynamic professional with: A proven track record with 5+ years of experience in AI/ML platform management or a similar role Deep expertise in machine learning, data analytics, and cloud computing Hands-on experience with platforms such as Dataiku, Azure ML, Azure AI, Foundry , and other related systems Strong knowledge of Agile methodologies , DevOps practices , and CI/CD pipeline management Exceptional ability to manage multiple priorities in a fast-paced, dynamic environment Proven leadership skills in guiding cross-functional teams and leading large-scale tech initiatives Experience with Agile methodologies is a plus Interested? Send your CV to admin@spearheadps.com or reach out via WhatsApp- 9899080360 for more details!

As an Assistant Professor in Computer Science & Engineering at an Autonomous Engineering College in Vijayawada, Andhra Pradesh, you will play a crucial role in delivering high-quality technical education to undergraduate students. Your primary responsibilities will include delivering lectures, conducting tutorials, preparing academic content, and mentoring students in core and elective CSE subjects. You will also actively participate in curriculum development, research activities, and student development initiatives to contribute to the academic excellence of the institution. To excel in this role, you should hold an M.Tech degree in Computer Science & Engineering from a recognized university. Strong subject knowledge in areas such as Programming, Data Structures, Algorithms, DBMS, AI/ML, or emerging technologies is essential. Excellent communication and presentation skills, along with a passion for teaching and learning, will be key attributes for success in this position. Preferred skills that would be advantageous include certifications in programming languages, cloud computing, AI/ML, or cybersecurity. Exposure to research or project work during post-graduation and familiarity with outcome-based education (OBE) and academic ERP tools will also be beneficial. This role offers career growth opportunities such as participation in Faculty Development Programs (FDPs), research programs, and Ph.D. sponsorships. Professional development opportunities through workshops, conferences, and technical training will be provided to support your growth and advancement in the field of Computer Science & Engineering. If you are a dynamic and motivated individual with a commitment to academic excellence, this position as an Assistant Professor in Computer Science & Engineering presents an exciting opportunity for you to contribute to the growth and development of aspiring engineers in a client-centric and innovative educational environment.,

Job Opening: Generative AI & LLMs / Distinguished Gen AI Engineer Location: Remote Experience: 8+ years 8+ years in data science or AI, with hands-on with LLMs or Gen AI in production settings. share resume to sandhya@welkinsofttrech.com

Role & responsibilities Building a Prompt Engineers Team requires a thoughtful approach that balances technical expertise, domain knowledge, and creativity. Heres a step-by-step plan to help you build an effective team: Step-by-Step Guide to Building a Prompt Engineering Team 1. Define the Purpose and Scope Start with clarity on: • Why you need a prompt engineering team (e.g., to improve chatbot accuracy, optimize RAG pipelines, generate content, automate processes). • Where prompts will be applied (e.g., customer support, legal research, code generation, marketing content). • What models/tools youre using (e.g., OpenAI GPT-4, Claude, Mistral, LangChain, LlamaIndex, Pinecone, etc.). 2. Identify Key Roles to Hire You dont need only prompt writers — build a balanced team. Typical roles include: Core Prompt Engineers • Focused on crafting, testing, and refining prompts • Excellent with language, logic, and experimentation NLP/LLM Engineers • Technical experts who understand model internals, fine-tuning, embeddings, and vector search • Useful if you’re building complex RAG or multi-agent systems Creative Writers or UX Writers (Optional) • Can write natural, engaging, or persuasive prompts especially for customer-facing apps or content generation Evaluation & QA Specialists • Test prompt outputs for accuracy, bias, safety, and relevance • Help benchmark performance 3. Create a Hiring Strategy Look for Candidates Who: • Understand LLM behavior and limitations • Have experience with OpenAI, Claude, or open-source models • Are comfortable with both creative writing and logical reasoning • Can iterate based on output quality Where to Find Them: • AI/NLP communities on Twitter, Discord (e.g., EleutherAI, LangChain) • LinkedIn with filters like: “Prompt Engineer,” “LLM Developer,” “NLP Engineer” • Platforms like GitHub (search AI prompt repositories), Kaggle, Upwork, Toptal 4. Set Up Your Tech Stack Equip the team with: • LLM Access: OpenAI API, Anthropic, HuggingFace, Cohere • Prompt Testing Tools: PromptLayer, LangSmith, PromptPerfect, Flowise • RAG Stack (if needed): LangChain, LlamaIndex, Chroma, Weaviate, Pinecone • Version Control: GitHub + prompt libraries • Prompt Analytics/Logging: To track changes, feedback loops, hallucinations, and success rates 5. Define a Workflow • Prompt Design Test Evaluate Refine Deploy Monitor • Use prompt templates (Few-shot, Chain-of-Thought, ReAct, etc.) • Implement CI for prompt validation if prompts are part of codebase 6. Build a Knowledge Base Document: • Prompt templates and examples • What works well (prompt tuning guides) • Failure cases and anti-patterns • Team learnings, A/B test results, and prompt libraries 7. Encourage Experimentation LLMs are probabilistic — experimentation is critical. Create a culture where: • Engineers test various prompt formats and model behaviors • Insights are shared internally • Prompt quality is benchmarked over time Preferred candidate profile Bonus: Team Composition Example (Startup Scale) Role Count Notes Prompt Engineer 2 NLP-aware, skilled with prompt design & LLMs NLP/LLM Developer 1 Can build pipelines, evaluate embeddings, tune models QA / Evaluator 1 Reviews and scores AI output for relevance, tone, accuracy Creative Writer (Optional) 1 Especially useful for marketing, support, or storytelling prompts Final Tip: Your first hires should be T-shaped people – with deep LLM experience but broad enough to collaborate across engineering, product, and UX.

Hello, Dear Candidate, Greetings for the day Please find the Company Profile & JD Company profile TELUS International designs, builds and delivers next-generation digital solutions to enhance the customer experience (CX) for global and disruptive brands. The companys services support the full lifecycle of its clients’ digital transformation journeys and enable them to more quickly embrace next-generation digital technologies to deliver better business outcomes. TELUS International’s integrated solutions and capabilities span digital strategy, innovation, consulting and design, digital transformation and IT lifecycle solutions, data annotation and intelligent automation, and omnichannel CX solutions that include content moderation, trust and safety solutions, and other managed solutions. Fueling all stages of company growth, TELUS International partners with brands across high growth industry verticals, including tech and games, communications and media, eCommerce and fintech, healthcare, and travel and hospitality. Websitehttps: //www.telusinternational.com Pre-Sales Consultant Bengaluru, India Hybrid About the team: The Generative AI team collaborates closely with clients to understand their unique needs and to customize AI solutions that enhance their operational efficiency and product offerings. Our team of solution architects and consultants is at the forefront of AI technology, advising clients on best practices and innovative approaches to integrate AI seamlessly into their workflows. About the role: We’re seeking a Pre-Sales Consultant to oversee a range of GenAI projects for our key clients in the US. In this role, you will work closely with our customer to understand their requirements and collaborate with internal teams, such as Sales, Solution Architecture, and Product, to design creative AI-powered solutions, and support successful project planning and implementation Job Description & Responsibilities : Work with potential and existing customers to understand their data requirements and conduct demos. Collaborate with customers to define project scope and SOPs, including technical consultation and establishing communication channels. Design creative solutions for new and existing problems, including micro-task breakdown and solution documentation. Plan and execute pilots with expert support, manage profit and loss creation with operations approval, and ensure solution implementation. Ensure timely delivery of proposals and technical documents, including API integration and final submission reports. Proactively execute changes in project scope, identify potential crises, and devise contingency plans. Manage customer queries and feedback, conduct QC tool demos, and walk through labeled samples. Responsible for solution implementation and comprehensive handover to the production team, including customer dashboard guides. Qualifications : Undergraduates from premier engineering institutes 3+ years of experience in a dynamic and high-growth environment. Strong analytical and problem-solving skills. Should be comfortable handling data and reports with the right tools (MS Excel and SQL knowledge is a must, and Python is preferred). Ability to work independently and aggressively track project timelines. Strong communication skills. Past experience working with any tech company/start-up is a plus. Should be open to work in the US time zone.

We are looking for AI/ML Engineer. Develop and deploy ML models Work on LLMs, NLP, and Computer Vision project.ython, Scikit-learn, TensorFlow/PyTorch ML algorithms, LLMs (OpenAI, HuggingFace), CV tools (OpenCV, YOLO, etc.)

Roles and Responsibilities Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation. Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training. Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored to business needs. Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization. Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production. Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability. Document and communicate technicals pecifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices. Qualifications Required Educational Background: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Relevant Ph.D. or research experience in generative AI is a plus. Experience: 8-12 years of experience in machine learning, with 2+ years in designing and implementing generative AI models or working specifically with transformer-based models. Skills and Experience Required GenerativeAI: Transformer Models, GANs, VAEs, Text Generation, Image Generation Machine Learning: Algorithms, Deep Learning, Neural Networks Programming: Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, Tensor Flow MLOps: Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure) Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning Why you'll love working with us: Opportunity to work on technical challenges with global impact. Vast opportunities for self-development, including online university access and sponsored certifications. Sponsored Tech Talks &Hackathons to foster innovation and learning. Generous benefits package including health insurance, retirement benefits, flexible work hours, and more.

Ansys is looking for R&D Engineer II - Python, IOT, AI/ML, MBSE to join our dynamic team and embark on a rewarding career journey Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewing existing products or concepts to ensure compliance with industry standards, regulations, and company policies Preparing proposals for new projects, identifying potential problems, and proposing solutions Estimating costs and scheduling requirements for projects and evaluating results

Roles and Responsibilities Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learningmodels used for text, image, or multimodal generation. Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards forgenerative model training. Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored tobusiness needs. Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization. Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generativemodels in production. Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, andscalability. Document and communicate technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis onexplainability and responsible AI practices. Qualifications Required Educational Background: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Relevant Ph.D. or research experience in generative AI is a plus. Experience: 2-5 years of experience in machine learning, with 2+ years in designing and implementing generative AI models or working specifically withtransformer-based models. Skills and Experience Required Generative AI: Transformer Models, GANs, VAEs, Text Generation, Image Generation Machine Learning: Algorithms, Deep Learning, Neural Networks Programming: Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow MLOps: Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure) Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning Why you'll love working with us: Opportunity to work on technical challenges with global impact. Vast opportunities for self-development, including online university access and sponsored certifications. Sponsored Tech Talks & Hackathons to foster innovation and learning. Generous benefits package including health insurance, retirement benefits, flexible work hours, and more. Supportive work environment with forums to explore passions beyond work. This role presents an exciting opportunity for a motivated individual to contribute to the development of cutting-edge solutions while advancing their career in a dynamic and collaborative environment.

Roles and Responsibilities Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation. Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training. Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored to business needs. Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization. Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production. Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability. Document and communicate technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices. Qualifications Required Educational Background: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Relevant Ph.D. or research experience in generative AI is a plus. Experience: 12 - 16 Years of experience in machine learning, with 8+ years in designing and implementing generative AI models or working specifically with transformer-based models. Skills and Experience Required Generative AI: Transformer Models, GANs, VAEs, Text Generation, Image Generation Machine Learning: Algorithms, Deep Learning, Neural Networks Langchain, GPT-4, Sagemaker/Bedrock Programming: Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow MLOps: Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure) Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning

We are looking for a GenAI/ML Engineer to design, develop, and deploy cutting-edge AI/ML models and Generative AI applications . This role involves working on large-scale enterprise use cases, implementing Large Language Models (LLMs) , building Agentic AI systems , and developing data ingestion pipelines . The ideal candidate should have hands-on experience with AI/ML development , Generative AI applications , and a strong foundation in deep learning , NLP , and MLOps practices. Key Responsibilities Design, develop , and deploy AI/ML models and Generative AI applications for various enterprise use cases. Implement and integrate Large Language Models (LLMs) using frameworks such as LangChain , LlamaIndex , and RAG pipelines . Develop Agentic AI systems capable of multi-step reasoning and autonomous decision-making . Create secure and scalable data ingestion pipelines for structured and unstructured data, enabling indexing, vector search, and advanced retrieval techniques. Collaborate with cross-functional teams (Data Engineers, Product Managers, Architects) to deploy AI solutions and enhance the AI stack. Build CI/CD pipelines for ML/GenAI workflows and support end-to-end MLOps practices. Leverage Azure and Databricks for training , serving , and monitoring AI models at scale. Required Qualifications & Skills (Mandatory) 4+ years of hands-on experience in AI/ML development , including Generative AI applications . Expertise in RAG , LLMs , and Agentic AI implementations. Strong experience with LangChain , LlamaIndex , or similar LLM orchestration frameworks. Proficiency in Python and key ML/DL libraries : TensorFlow , PyTorch , Scikit-learn . Solid foundation in Deep Learning , Natural Language Processing (NLP) , and Transformer-based architectures . Experience in building data ingestion , indexing , and retrieval pipelines for real-world enterprise use cases. Hands-on experience with Azure cloud services and Databricks . Proven track record in designing CI/CD pipelines and using MLOps tools like MLflow , DVC , or Kubeflow . Soft Skills Strong problem-solving and critical thinking ability. Excellent communication skills , with the ability to explain complex AI concepts to non-technical stakeholders. Ability to collaborate effectively in agile , cross-functional teams . A growth mindset , eager to explore and learn emerging technologies. Preferred Qualifications Familiarity with vector databases such as FAISS , Pinecone , or Weaviate . Experience with AutoGPT , CrewAI , or similar agent frameworks . Exposure to Azure OpenAI , Cognitive Search , or Databricks ML tools . Understanding of AI security , responsible AI , and model governance . Role Dimensions Design and implement innovative GenAI applications to address complex business problems. Work on large-scale, complex AI solutions in collaboration with cross-functional teams. Take ownership of the end-to-end AI pipeline , from model development to deployment and monitoring. Success Measures (KPIs) Successful deployment of AI and Generative AI applications . Optimization of data pipelines and model performance at scale. Contribution to the successful adoption of AI-driven solutions within enterprise use cases. Effective collaboration with cross-functional teams, ensuring smooth deployment of AI workflows. Competency Alignment AI/ML Development : Expertise in building and deploying scalable and efficient AI models. Generative AI : Strong hands-on experience in Generative AI , LLMs , and RAG frameworks. MLOps : Proficiency in designing and maintaining CI/CD pipelines and implementing MLOps practices . Cloud Platforms : Experience with Azure and Databricks for AI model training and serving.

Role: AI Solutions Architect - R&D Vacancies: 11 Year of Passing Out: 2025, 2024, 2023 Education: Bachelors/Masters/PhD in AI & Data Science, Machine Learning, Mathematics and Statistics. Job Location: Mandaveli, Chennai Key Responsibilities: - Architect scalable transformer-based AI model infrastructures. - Lead the development of an in-house AI framework and utilize it to build robust, scalable foundation models. - Collaborate with researchers to translate advanced research into robust, scalable architectures. - Evaluate existing AI infrastructures, propose enhancements, and optimize model deployments for performance, efficiency, and scalability. - Design and implement robust AI pipelines and workflows from prototyping through experimentation phases. - Develop novel frameworks and algorithms tailored to specific research goals. - Systematic exploration of scaling laws and hyperparameter configurations to optimize model performance and efficiency. - Provide technical leadership and mentorship on AI infrastructure and architectural decisions. - Stay abreast of the latest AI technologies, research developments, and emerging frameworks. Required Skills and Qualifications: - Strong logical reasoning and analytical skills. - Solid foundation in Mathematics including calculus, probability, statistics, and linear algebra. - Proficiency or willingness to learn programming languages such as Rust and CUDA for high-performance implementations. - Excellent problem-solving, and analytical skills. - Demonstrated ability to work in a collaborative, fast-paced research-driven environment. - Bachelors/Masters/PhD in AI & Data Science, Machine Learning, Mathematics and Statistics. What We Offer: - A dynamic and innovative work environment in a cutting-edge AI research team. - Opportunities for professional growth, mentorship, and learning. - Competitive salary and benefits. - Access to the latest tools and technologies in AI. Important: Please read the guidelines clearly before applying: https://blubridge.ai/join-our-team

Byteridge is seeking a detail-oriented and proactive Project Coordinator to support the successful execution of client-facing Generative AI (GenAI) initiatives. As a fast-growing AI services organization, we are engaged in multiple high-impact GenAI projects across industries. This role will assist in coordinating project activities, tracking deliverables, organizing internal workflows, and ensuring timely communication across teams.You will play a key role in supporting the AI delivery team and institutionalizing project knowledge, while enabling smoother and more consistent project execution. Key Responsibilities Project Coordination & Execution Support Assist in managing the day-to-day operations of GenAI project delivery. Track project timelines, deliverables, and milestones using project tracking tools. Schedule and coordinate meetings between engineers, internal teams, and client POCs. Support onboarding of new team members into client projects. Monitor progress and flag risks, delays, or blockers to the AI Head or Project Manager. Documentation & Knowledge Management Maintain structured documentation for each project, including objectives, constraints, and workflows. Assist in creating reusable templates and standard checklists for recurring project tasks. Organize and update knowledge repositories including prompt workflows, onboarding kits, and evaluation logs. Internal Communication & Reporting Prepare weekly status updates and basic reports for internal and client stakeholders. Coordinate internal standups, enablement sessions, and retrospective meetings. Support demos and presentations by gathering required materials and progress data. Process Improvement Support Identify recurring coordination challenges and suggest improvements. Contribute to refining project tracking processes and SOPs over time. Required Qualifications 3 to 5 years of experience in a coordination, project support, or junior project management role, preferably in a tech or consulting environment. Exposure to AI/ML projects or interest in the GenAI domain is a strong advantage. Excellent organizational and communication skills. Familiarity with tools like Notion, Confluence, Jira, or similar platforms. Comfortable managing documentation and handling multiple priorities simultaneously. Preferred Qualifications Basic understanding of software delivery lifecycle or AI workflows. Experience working with cross-functional teams (engineering, design, client stakeholders). Awareness of AI/ML terms, use cases, and prompt engineering concepts is a plus. Why Join Us Work closely with leading AI engineers and industry experts. Get hands-on exposure to cutting-edge GenAI use cases across industries. Contribute to high-impact AI solutions while growing in a dynamic and future-focused team.

Zipaworld is looking for AI/ML Intern to join our dynamic team and embark on a rewarding career journeyAssist in day-to-day departmental operations under the guidance of assigned mentors or supervisors.Support in research, data collection, documentation, and analysis tasks relevant to the assigned function or project.Learn and apply industry-relevant tools, techniques, and procedures as per organizational standards.Participate in team meetings, training sessions, and knowledge-sharing activities to gain practical exposure.Collaborate with different teams to understand workflow and contribute to short-term project goals.

Role & responsibilities Expertise in supervised, unsupervised, machine learning, deep learning, reinforcement learning, statistics techniques. Proficiency in Python, PyTorch, TensorFlow. Good to have knowledge of Bayesian inference, probability distribution, hypothesis testing, A/B testing, and time series forecasting. Hands-on experience with feature engineering and hyperparameter tuning. Experience with MLflow, Weights & Biases, DVC (Data Version Control). Ability to track model performance across multiple experiments and datasets. End-to-end ML lifecycle management from Data ingestion, preprocessing, feature engineering, model training, deployment, and monitoring. Expertise in CI/CD for ML, containerization (Docker, Kubernetes), and orchestration (Kubeflow). Good to have experience in automating data labelling and feature stores (Feast). Good to have data processing experience in Spark, Flink, Druid, Nifi. Good to have real-time data streaming in Kafka and other messaging systems Designing and optimizing data pipelines for structured data. Good to have hands-on experience with Pyspark. Strong SQL skills for data extraction, transformation, and query optimization. Atleast one database experience such as NOSQL database. Implementing parallel and distributed ML techniques for large-scale systems. Good to have knowledge of model explainability (SHAP, LIME), bias mitigation, and adversarial robustness. Experience in model drift monitoring. Good to have CUDA for GPU acceleration. Good to have choosing between CPU/GPU for different ML workloads (batch inference on CPU, training on GPU). Good to have scaling deep learning models on multi-GPU. Strong presentation skills, including data storytelling, visualization (Matplotlib, Seaborn, Superset), and report writing. Experience in mentoring data scientists, research associates, and data engineers. Contributions to research papers, patents, or open-source projects.

As a Tech Content Creator for our AI & Beyond Series, youll be responsible for crafting engaging, insightful, and high-retention content around trending deep-tech topics. From Agentic RAG and LLM agents to infrastructure tools like FireCrawl, LangChain, and Vector DBs — you’ll simplify the complex and tell stories that spark curiosity, clarity, and action. In addition to long-form technical walkthroughs and implementation-based scripts, you’ll also contribute to high-retention, short-form content (like explainer reels and visual-first breakdowns) that simplify dense ideas for a broader tech audience. You will work closely with internal teams, SMEs, and speakers to script long-form and short-form content that breaks down modern AI tools, protocols, and architectures — often within 60 to 90-second reels or tight narrative videos that reach tens of thousands of learners, developers, and tech enthusiasts every week. Skills Required: Strong grasp of AI/ML, GenAI, and LLM-related tools including RAG, LangChain, Gradio, Vector DBs, FireCrawl, LlamaIndex, etc. Ability to simplify dense technical systems into explainers that are both educational and visually engaging. Proven storytelling ability especially across hook-core-wrap frameworks or problem-solution-demo formats. Experience writing or structuring content for Long-form & short-form tech videos or narrative-rich explainers. Basic knowledge of how backend systems or API-based integrations work especially around LLMs, databases, and deployment workflows. Strong communication, scripting, and documentation skills ability to write content that flows well both on video and in writing. Comfortable working in fast-paced, collaborative environments with designers, editors, and speakers. Ensure content aligns with Beginner Friendly preferences (concise, visual, relatable). Key Responsibilities: Lead the creation of hands-on tutorials and implementation scripts on real-world topics like Agentic RAG, LLM orchestration, and protocol-powered AI agents. Research, script, and structure short-form explainer videos and concept-driven reels on topics like LLM agents, RAG, orchestration frameworks, protocol standards, and other cutting-edge tech. Collaborate with speakers and pods to translate deep technical systems into clean, structured tutorial formats . Break down complex protocols (like MCP, A2A, Agentic RAG) into hook-first, visual-first content that aligns with content marketing and education goals. Contribute to storyboarding, pacing, and on-video scripting for high-retention output knowing exactly when to educate, when to entertain, and when to simplify. Collaborate with video editors, animators, and designers to ensure technical ideas are well-represented visually and are understandable even without audio. Maintain a rapid weekly content cadence often ideating, refining, and shipping 2–4 pieces of content/week with high clarity and creativity. Adapt content from longer masterclasses or product demos into snackable, social-first formats for platforms like YouTube, LinkedIn, and Instagram Reels. Regularly audit and improve content based on viewer feedback, retention analytics, and SEO signals. Stay on top of developments in the GenAI, LLM, and infra ecosystem bringing fresh ideas and rapid-turnaround content around news, releases, or open-source projects. Nice-to-Have: 1+ year experience in a content creation, devrel, or ed-tech role. Familiarity with ed-tech content standards (e.g., scaffolding, pacing). Why Join? Shape a flagship series with massive reach among students. Work in a dynamic, creative environment with top tech talent. Opportunity to mentor junior creators as the series scales. Location: NxtWave Office Spaces, Hyderabad Job Type: Full-Time Working Days: 5 days a week

Experience: 3+ years Location - Bengaluru Mode of work - Work from office Mode of interview - Face to Face Notice Period : Immediate joiners We are looking for a highly motivated and passionate AI/ML Engineer with a strong foundation in machine learning and hands-on project experience in Generative AI. will work on cutting-edge technologies involving Large Language Models (LLMs), Agentic AI, and toolkits like Lang Chain, Lang Graph, and Phi Data. Key Responsibilities Build, experiment with, and fine-tune Generative AI models using popular LLMs (e.g., OpenAI, LLaMA, Mistral, etc.). Develop agent-based workflows using tools such as LangChain, LangGraph, and PhiData. Create interactive and dynamic AI pipelines for tasks like summarization, Q&A, sentiment analysis, and more. Collaborate with the AI/ML team to design and deploy prototypes and PoCs. Write clean, modular Python code and maintain version control via Git/GitHub. Document projects clearly and effectively for internal and external stakeholders. Required Skills Solid understanding of Machine Learning, Deep Learning fundamentals, and model evaluation. Experience with Generative AI projects (transformers, text generation, prompt engineering, etc.). Familiarity with frameworks like LangChain, LangGraph, PhiData. Proficient in Python, along with common ML libraries (e.g., PyTorch, Hugging Face Transformers, scikit-learn). Good understanding of LLM APIs (OpenAI, Anthropic, Cohere, etc.). Strong problem-solving ability and communication skills. Active GitHub profile showcasing relevant projects is mandatory Good to Have Knowledge of REST APIs, basic backend frameworks like Flask or FastAPI. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate). Basic understanding of RAG (Retrieval-Augmented Generation) pipelines. Knowledge of prompt chaining and tool-calling via LLM agents. Knowledge on web application development

Prompt Engineering and its strategies Should know how LLM works and its hyper parameter ( temperature, top_p) Agentic AI framework like langchain, lang graph, crew ai RAG LLM evaluation and observability Python Deployment on any one of cloud services

About The Role We seek an innovative professional with expertise in AI tools like Copilot to boost engineering productivity. The role involves identifying bottlenecks, proposing tailored GenAI solutions, and integrating them into networking product development to streamline workflows and drive AI adoption across teams. Technologies: ---- GenAI Algorithms, LLM's, NLP, Hugging Face, RAG, OpenAI models, Microsoft and GitHub Copilot, Agentic AI, AI-powered tools, Advanced python for Datascience, Flash , REST API, debugging tools, parser tools, troubleshooting and investigating capabilities. Required Qualifications: ---- 2+ years using GitHub Copilot, OpenAI, and other AI coding tools to boost development productivity. 2+ years in GenAImodel design, fine-tuning, and deployment. 3+ years in Pythonbuilding AI/ML pipelines, automation tools, and data processing scripts. Hands-on experience applying GenAI/ML for code generation, summarization, workflow automation, and virtual assistants. Delivered AI-driven impact in 23 engineering projects. Ability to identify and develop use cases in BI, automation, and areas like smart troubleshooting and adaptive testing. Proficient in LLMs, NLP, and AI/ML for software and networking applications. Knowledge of integrating AI with platforms like Webex, Zoom, and Teams via APIs. Skilled in scripting, automation, and AI-augmented workflows. Experienced in Agile/Scrum. Strong problem-solving, communication, and mentoring skills; able to work independently and collaboratively. Desired Skills: --- GitHub Copilot certification. Experience with networking products software development. Familiarity with CI/CD, DevOps, and automation tools. Understanding of responsible AI practices. Experience with data analysis and visualization for AI productivity. Knowledge of cloud-based AI services and integrations. Primary Skills GenAI, LLMs, AI Tools, Python

Role & responsibilities Implement and manage AIOps platforms for intelligent monitoring, alerting, anomaly detection, and root cause analysis (RCA). Possess end-to-end knowledge of VLLM model hosting and inferencing. Advanced knowledge of public cloud platforms such as AWS and Azure. Build and maintain machine learning pipelines and models for predictive maintenance, anomaly detection, and noise reduction. Experience in production support and real-time issue handling. Design dashboards and visualizations to provide operational insights to stakeholders. Working knowledge of Bedrock, SageMaker, EKS, Lambda, etc. 1 to 2 years of experience with Jenkins and GoCD to make build/deploy pipelines. Hands-on experience with open-source and self-hosted model APIs using SDKs. Drive data-driven decisions by analyzing operational data and generating reports on system health, performance, and availability. Basic knowledge of kserve and rayserve inferencing . Good knowledge of high level scaling using Karpenter , Keda , System based vertical/horizontal scaling. Strong knowledge on linux operating system or linux certified . Previous experience with Helm chart deployments and Terraform template and module creation is highly recommended. Secondary Responsibilities: Proven experience in AIOps and DevOps, with a strong background in cloud technologies (AWS, Azure, Google Cloud). Proficiency in tools such as Kubeflow, Kserve, ONNX, and containerization technologies (Docker, Kubernetes). Experience with enterprise-level infrastructure, including tools like terraform, helm, and On-Prem servers hosting. Previous experience in fintech or AI based tech companies are highly desirable. Demonstrates the ability to manage workloads effectively in a production environment. Possesses excellent communication and collaboration skills, with a strong focus on cross-functional teamwork.

As an AI + Backend Developer at AskGalore, you will be responsible for developing and maintaining backend systems and APIs for AI-powered applications. Your role will involve designing, implementing, and optimizing machine learning models and algorithms for real-world applications. You will collaborate with cross-functional teams to integrate AI models into scalable, production-ready systems. Your primary tasks will include building and managing robust, secure, and efficient server-side architectures using Python frameworks such as Django, Flask, and FastAPI. Additionally, you will optimize application performance, troubleshoot backend issues, and work with databases (SQL and NoSQL) to store and manage large datasets for AI applications. Furthermore, you will be involved in implementing CI/CD pipelines for seamless deployment of AI and backend solutions and staying up-to-date with the latest advancements in AI and backend development technologies. Your role will require a Bachelor's/Master's degree in Computer Science, Engineering, or a related field, along with proven experience in backend development using Python and frameworks like Django, Flask, or FastAPI. To excel in this role, you should have a strong understanding of AI/ML concepts, libraries, and tools such as TensorFlow, PyTorch, and Scikit-learn. Hands-on experience in deploying and scaling AI models in production environments, proficiency in working with RESTful APIs and microservices architecture, and solid knowledge of database management systems like PostgreSQL, MySQL, and MongoDB are essential. Preferred skills include knowledge of Natural Language Processing (NLP) or Computer Vision (CV) techniques, experience with big data processing tools like Apache Spark and Hadoop, and familiarity with DevOps practices for AI/ML pipelines. An understanding of data security and privacy best practices, as well as experience with cloud platforms such as AWS, Google Cloud, or Azure and containerization technologies like Docker and Kubernetes, will be advantageous. As an AI + Backend Developer at AskGalore, you will play a crucial role in designing and developing scalable backend systems while integrating cutting-edge AI technologies. You will contribute to creating robust APIs, deploying AI models, and ensuring efficient and secure system operations to deliver impactful solutions for business and client needs. If you are passionate about AI and ready to lead impactful projects, we invite you to join us at AskGalore, where innovation meets excellence. The working hours for this full-time position are from 9:30 AM to 6:30 PM at Maple Highstreet, Bhopal. The position offers a competitive salary and compensation package in line with industry standards. Don't miss this opportunity to become a vital part of our dynamic team. Apply now to be considered for one of the two vacancies available for this role.,

As a Consultant Data Scientist on a contractual role for a duration of 6 months, you should possess a strong understanding of Data Structures and Algorithms. Your proficiency in advanced programming skills, especially in Python, is mandatory for this role. Additionally, having a working knowledge of C++ would be beneficial. Your responsibilities will include hands-on experience with AI/ML, Deep Learning (CNN, RNN), LLMs, classification, and clustering. It is essential to have a good grasp of algorithm design and development. Familiarity with reinforcement learning, computer vision, or NLP would be an advantage in this position. The ideal candidate should be open to working part-time and must be comfortable with a contractual arrangement. The budget for this role ranges from 80k to 1.3 Lacs per month. The job type is contractual/temporary, with a contract length of 6 months. In addition to the technical requirements, you should be willing to work in person at the specified work location. As a Consultant Data Scientist, you will have the benefit of a flexible schedule. If you meet these qualifications and are interested in this opportunity, please send your CV to soumojit.roy@rebaca.com. To apply for this role, please consider the following questions: - Are you willing to work as a consultant on a 6-month contract - On a scale of 1 to 10, how would you rate your proficiency in Python - What are your monthly salary expectations We look forward to receiving your application and potentially welcoming you to our team as a Consultant Data Scientist.,

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion it's a place where you can grow, belong and thrive. Your day at NTT DATA The Security Managed Services Engineer (L3) is a seasoned engineering role, responsible for providing a service to clients by proactively identifying and resolving technical incidents and problems. Through pre-emptive service incident and resolution activities, as well as product reviews, operational improvements, operational practices, and quality assurance this role will maintain a high level of service to clients. The primary objective of this role is to ensure zero missed service level agreement (SLA) conditions and is responsible for managing tickets of high complexity, conducts advanced and complicated tasks, aware of client's high level and low-level security architecture and provides resolution to a diverse range of complex problems. This position uses considerable judgment and independent analysis within defined policies and practices and applies analytical thinking and deep technical expertise in achieving client outcomes, while coaching and mentoring junior team members across functions. The Security Managed Services Engineer (L3) may also contribute to / support on project work as and when required. What you'll be doing Key Responsibilities: SOC L3 Analyst The SOC L3 analyst is responsible for handling major security incidents escalated by SOC L2 analyst and proactively identifying possible threats, security gaps that might be unknown. SOC L3 will also be responsible for suggesting improvements for process gaps identified. The main duties of the SOC L3 analyst are: - Handle and manage major security incidents escalated by SOC L2 analyst, using expert techniques and tools - Proactively identify possible threats, security gaps, and vulnerabilities that might be unknown, using threat hunting methods and tools - Provide strategic guidance and recommendations for the SIEM solution and other security tools and systems, such as configuration, tuning, optimization, integration, etc. - Mentor and train other SOC team members, such as SOC L1 analyst and SOC L2 analyst - Research and keep up to date with the latest security trends, threats, and technologies - Communicate and report the findings and outcomes of security incidents, threat hunting and provide best practices and lessons learned The main skills and qualifications of the SOC L3 analyst are: - Bachelor's degree in computer science, information security, or related field - At least 8years of experience in security operations, incident response, or related field - Expert knowledge of security concepts, principles, and best practices - Expert knowledge in AIML SIEM , SOAR solutions and cybersecurity solutions such as WAF,IPS, DDOS etc. - Expert knowledge of security tools and systems, such as firewalls, antivirus, IDS/IPS, etc. - Expert knowledge of threat intelligence sources and platforms - Expert knowledge of threat hunting methods and tools, such as [your threat hunting method or tool name] - Expert knowledge of vulnerability assessment and penetration testing methods and tools, - Adequate knowledge of web programming languages, such as Python, Ruby, PHP, etc. - Adequate knowledge of scripting languages, such as PowerShell, Bash, etc. - Analytical and problem-solving skills - Communication and teamwork skills - Attention to detail and accuracy Academic Qualifications and Certifications: Bachelor's degree or equivalent qualification in IT/Computing (or demonstrated equivalent work experience) Workplace type: On-site Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

The Senior AI Consultant role at G+D involves enabling RAG-based use cases through fine-tuning and prompt engineering expertise. You will be responsible for translating business requirements into actionable RAG solutions, designing tailored workflows, and driving user training to ensure optimal performance and scalability of AI applications. Your key responsibilities will include interpreting business needs for structured RAG use cases, advising on RAG workflows, configuring the SaaS platform, optimizing LLMs for chatbots and text analytics, and leading user training sessions for continuous improvement. Required skills for this role include a strong background in AI/ML with hands-on experience in generative AI and RAG methodologies, working knowledge of Agentic AI & MCP concepts, proficiency in Python and familiarity with frameworks like TensorFlow and PyTorch, experience with cloud platforms (preferably Azure) and MLOps tools such as Docker, Kubernetes, and CI/CD, as well as excellent communication and consultative skills to bridge tech and business needs. Preferred qualifications for the Senior AI Consultant position include proven production-grade deployment of RAG solutions, experience with large-scale datasets and vector databases like FAISS and Milvus, and a solid understanding of AI ethics and responsible AI practices. Join us at G+D, a global technology group with over 14,000 employees in 40 countries, where creating confidence is our path to success and trust is the foundation of our cooperation. Let's work together to make the lives of billions of people around the world more secure through innovative solutions in Digital Security, Financial Platforms, and Currency Technology.,

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. We are looking to hire people with strong Power Platform skills and an interest in learning new technologies in the process automation space such as RPA, AI/ML, Cognitive, Conversational Chat, and Gen AI. The role requires a minimum of 3-5 years of relevant experience, with at least 3+ years of hands-on experience on Power Platform. You should have a detailed understanding of canvas apps, model-driven apps, power pages along with their limitations, application, and key features. Additionally, you should have a detailed understanding of Power Automate digital flows and Power Automate desktop, basic knowledge of Power BI and Power virtual agents, basic AI concepts using AI builder and Co-Pilot, knowledge of Dataverse and its concepts around security and automation, as well as knowledge of environment management using the CoE toolkit, security groups, and controls around the tenant. Database knowledge of at least one RDBMS product (SQL, Oracle, etc.) is required. You will be expected to interface with Architects and customers to understand business processes and system requirements, architect and design Power platform solutions independently, lead a development team, and support with technical queries during engagement delivery. Experience in developing solutions using a combination of automation technologies like Power Platform, AI/ML, and RPA is essential. Certification as a PL 600 Solution Architect in Power Platform is preferred. The ideal candidate will mentor junior developers on Power Platform best practices and standards, have hands-on experience on Power Platform implementations including Apps, Automations, Dataverse designs, power BI, etc., possess deep knowledge and experience in Agile methodologies, and have experience working with JSON, XML & RESTful API. Experience in Object-Oriented programming languages like C#, Java, or dotnet full stack, and working with at least one external integration such as Web service, ESB, etc., is desirable. Knowledge of RPA and DevOps tooling is a plus. Excellent written and verbal communication skills are required, along with the ability to write clear, understandable logic for maintainable code that meets design specifications. What we look for: - A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. - An opportunity to be a part of a market-leading, multi-disciplinary team of 1400+ professionals in the only integrated global transaction business worldwide. - Opportunities to work with EY Advisory practices globally with leading businesses across a range of industries. At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies, and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects, focusing on education and coaching alongside practical experience to ensure your personal development. We value our employees and provide support, coaching, and feedback from engaging colleagues. You will have opportunities to develop new skills, progress your career, and the freedom and flexibility to handle your role in a way that's right for you. 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.,