1043 Llm Jobs - Page 6

Work Timing- 3 pm-12 am Work mode- Remote Experience Required- 5+ Years Salary Package- 20- 28 LPA Specialization: Scalable UI Architecture, Performance Engineering, Cross-Platform Front-End Development We are seeking an experienced Senior Front-End Engineer with expertise in React.js, Next.js, and modern front-end ecosystems to design and implement scalable, secure, and high-performing UI architectures for our digital products. The ideal candidate is passionate about performance engineering, accessibility, and maintainable code, and is capable of guiding architecture decisions and mentoring cross-functional teams. You will work closely with designers, backend engineers, and product managers to create seamless and intuitive user experiences across platforms and browsers, contributing to both technical excellence and business impact. Architect and build modular, high-performance UIs using React.js (Hooks, Context API, Suspense) and Next.js (App Router, SSR, SSG). Lead front-end application architecture with micro-frontend patterns, Web Components, and Module Federation. Implement scalable state management using tools like Redux Toolkit, Zustand, or Recoil. Integrate RESTful and GraphQL APIs using Axios, Fetch, Apollo Client, or URQL. Ensure optimal build and bundling using tools like Webpack, Vite, or Rollup. Optimize application performance using code splitting, lazy loading, tree shaking, WebP, asset optimization, and HTTP/2. Maintain security best practices: mitigate OWASP Top 10 issues (XSS, CSRF), enforce CSP, use secure cookies, validate input, and implement secure authentication flows (OAuth2, JWT, Firebase Auth). Deliver pixel-perfect, accessible, and responsive UI using WCAG 2.1 guidelines, semantic HTML, ARIA, Tailwind UI, Material UI, or ShadCn. Conduct performance audits using Lighthouse, React Profiler, and browser DevTools. Own the visual and functional QA process: build tests using Jest, React Testing Library, Cypress, Playwright, and Storybook + Chromatic for visual regression. Collaborate with DevOps to maintain CI/CD pipelines with GitHub Actions, GitLab CI, or CircleCI. Participate in and lead design reviews, documentation efforts, and sprint planning in Agile teams. Utilize AI-powered development tools like GitHub Copilot, Cursor, Cline, or custom LLM-based agents to improve development velocity and test quality. Preferred Skills Bachelors/Masters in Computer Science, Information Technology, or equivalent. 5+ years of hands-on experience in front-end development, building production-grade React applications with Next.js. Proficient in JavaScript (ES6+), TypeScript, HTML5, CSS3/SCSS. Strong architectural understanding of component design, modularization, micro frontends, and code reuse strategies. Experience with state management tools like Redux Toolkit, Zustand, or Recoil. In-depth understanding of accessibility, cross-browser compatibility, and responsive design. Proficient in Git workflows, npm/yarn/pnpm, and modern IDEs like VSCode. Solid testing practices using unit, integration, and visual regression testing tools. Experience working in monorepos, Module Federation, or multi-team frontend architectures. Familiarity with server-side rendering, static site generation, and edge rendering with Next.js. Experience with containerized environments (Docker) for front-end dev environments. Exposure to RAG, Langchain, or other LLM-based integrations in front-end workflows. Skilled in cross-functional collaboration tools: Figma, Zeplin, Adobe XD, Jira, Confluence. Strong advocacy for performance, UX, accessibility, and clean code practices. Professional Attributes: A passion for clean code and scalable architecture. Strong communication and mentorship skills, with experience onboarding and upskilling developers. Ability to lead through influence and evangelize best practices in front-end engineering. Proactive in problem-solving, with a mindset of ownership and continuous improvement.

Mandatory Skills & Experience : - Expertise in designing and optimizing machine-learning operations, with a preference for LLM Ops. - Proficient in Data Science, Machine Learning, Python, SQL, Linux/Unix shell scripting. - Experience on Large Language Models and Natural Language Processing (NLP), and experience with researching, training, and fine-tuning LLMs. - Contribute towards fine-tune Transformer models for optimal performance in NLP tasks, if required. - Implement and maintain automated testing and deployment processes for machine learning models w.r.t LLMOps. - Implement version control, CI/CD pipelines, and containerization techniques to streamline ML and LLM workflows. - Develop and maintain robust monitoring and alerting systems for generative AI models ensuring proactive identification and resolution of issues. - Research or engineering experience in deep learning with one or more of the following : generative models, segmentation, object detection, classification, model optimisations. - Experience implementing RAG frameworks as part of available-ready products. - Experience in setting up the infrastructure for the latest technology such as Kubernetes, Serverless, Containers, Microservices etc. - Experience in scripting/programming to automate deployments and testing, working on tools like Terraform and Ansible. - Scripting languages like Python, bash, YAML etc. - Experience on CI/CD opensource and enterprise tool sets such as Argo CD, and Jenkins (others like Jenkins X, Circle CI, Argo CD, Tekton, Travis, Concourse an advantage). - Experience with the GitHub/DevOps Lifecycle. - Experience in Observability solutions (Prometheus, EFK stacks, ELK stacks, Grafana, Dynatrace, AppDynamics). - Experience in at-least one of the clouds for example Azure/AWS/GCP. - Significant experience on microservices-based, container-based or similar modern approaches of applications and workloads. - You have exemplary verbal and written communication skills (English). - Able to interact and influence at the highest level, you will be a confident presenter and speaker, able to command the respect of your audience. Desired Skills & Experience : - Bachelor level technical degree or equivalent experience; Computer Science, Data Science, or Engineering background preferred; Master's Degree desired. - Experience in LLM Ops or related areas, such as DevOps, data engineering, or ML infrastructure. - Hands-on experience in deploying and managing machine learning and large language model pipelines in cloud platforms (i.e., AWS, Azure) for ML workloads. - Familiar with data science, machine learning, deep learning, and natural language processing concepts, tools, and libraries such as Python, TensorFlow, PyTorch, NLTK etc. - Experience in using retrieval augmented generation and prompt engineering techniques to improve the model's quality and diversity to improve operations efficiency. - Proven experience in developing and fine-tuning Language Models (LLMs). - Stay up-to-date with the latest advancements in Generative AI, conduct research, and explore innovative techniques to improve model quality and efficiency. - The perfect candidate will already be working within a System Integrator, Consulting or Enterprise organisation with 8+ years of experience in a technical role within the Cloud domain. - Deep understanding of core practices including SRE, Agile, Scrum, XP and Domain Driven Design. - Familiarity with the CNCF open-source community. - Enjoy working in a fast-paced and dynamic environment using the latest technologies.

Key responsibilities: Drafting, reviewing, organising and executing a broad range of commercial contracts and business-related documentation, including master service agreements, vendor agreements, distributor agreements, brand partnership agreements, construction agreements, recruitment agreements, works contracts, NDAs, statement of work, transaction documents such as shareholder and share subscription agreements, term sheets, etc. Providing advisory assistance on general corporate matters. Negotiation with clients (across multiple jurisdictions) and inter- and intra-company communication with business teams. Reviewing and negotiating contracts for business lines including marketplace, technology, logistics, SAAS and other business contracts. Assessing risk under contracts and proposing approp riatemitigations Researching on the compliance-related requirements for e-commerce entities. Assistance with dispute resolution relating to commercial contracts Providing advice to internal stakeholders on contractual positions and policies. Support the standardisation of contracts, templates, and operating procedures. Contract management for multiple businesses. Collaboration with internal and external teams. Qualifications : Lawyer with an LLB / LLM from a reputed college in India and prior experience of 3-4 years in corporate and commercial law. Strong drafting and oral and written communication skills. Strong analytical, organisational and problem-solving skills. Willingness to draft and review a wide range of documents, agreements and compliance requirements. Willingness to join in-person in the company's office in Kalina. Consistently punctual, professional and reliable. Strong team spirit.

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.

Senior Prompt Engineer: Design, optimize, and test AI prompts for accuracy and efficiency. Collaborate with cross-functional teams to improve model outputs. Expertise in NLP and LLMs required.

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.)

Role & responsibilities GenAI/LLM Skills AI& Machine learning algorithms, Python, R or other languages used in AI, Natural Language Processing (NLP). Understanding of RAG, neural networks, and other AI/ML concepts, AI/ML frameworks like TensorFlow, PyTorch

We are hiring an experienced AI Engineer / ML Specialist with deep expertise in Large Language Models (LLMs), who can fine-tune, customize, and integrate state-of-the-art models like OpenAI GPT, Claude, LLaMA, Mistral, and Gemini into real-world business applications. The ideal candidate should have hands-on experience with foundation model customization, prompt engineering, retrieval-augmented generation (RAG), and deployment of AI assistants using public cloud AI platforms like Azure OpenAI, Amazon Bedrock, Google Vertex AI, or Anthropics Claude. Key Responsibilities: LLM Customization & Fine-Tuning Fine-tune popular open-source LLMs (e.g., LLaMA, Mistral, Falcon, Mixtral) using business/domain-specific data. Customize foundation models via instruction tuning, parameter-efficient fine-tuning (LoRA, QLoRA, PEFT), or prompt tuning. Evaluate and optimize the performance, factual accuracy, and tone of LLM responses. AI Assistant Development Build and integrate AI assistants/chatbots for internal tools or customer-facing applications. Design and implement Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, LlamaIndex, Haystack, or OpenAI Assistants API. Use embedding models, vector databases (e.g., Pinecone, FAISS, Weaviate, ChromaDB), and cloud AI services. Must have experience of finetuning, and maintaining microservices or LLM driven databases. Cloud Integration Deploy and manage LLM-based solutions on AWS Bedrock, Azure OpenAI, Google Vertex AI, Anthropic Claude, or OpenAI API. Optimize API usage, performance, latency, and cost. Secure integrations with identity/auth systems (OAuth2, API keys) and logging/monitoring. Evaluation, Guardrails & Compliance Implement guardrails, content moderation, and RLHF techniques to ensure safe and useful outputs. Benchmark models using human evaluation and standard metrics (e.g., BLEU, ROUGE, perplexity). Ensure compliance with privacy, IP, and data governance requirements. Collaboration & Documentation Work closely with product, engineering, and data teams to scope and build AI-based solutions. Document custom model behaviors, API usage patterns, prompts, and datasets. Stay up-to-date with the latest LLM research and tooling advancements. Required Skills & Qualifications: Bachelors or Masters in Computer Science, AI/ML, Data Science, or related fields. 3-6+ years of experience in AI/ML, with a focus on LLMs, NLP, and GenAI systems. Strong Python programming skills and experience with Hugging Face Transformers, LangChain, LlamaIndex. Hands-on with LLM APIs from OpenAI, Azure, AWS Bedrock, Google Vertex AI, Claude, Cohere, etc. Knowledge of PEFT techniques like LoRA, QLoRA, Prompt Tuning, Adapters. Familiarity with vector databases and document embedding pipelines. Experience deploying LLM-based apps using FastAPI, Flask, Docker, and cloud services. Preferred Skills: Experience with open-source LLMs: Mistral, LLaMA, GPT-J, Falcon, Vicuna, etc. Knowledge of AutoGPT, CrewAI, Agentic workflows, or multi-agent LLM orchestration. Experience with multi-turn conversation modeling, dialogue state tracking. Understanding of model quantization, distillation, or fine-tuning in low-resource environments. Familiarity with ethical AI practices, hallucination mitigation, and user alignment. Tools & Technologies: Category Tools & Platforms LLM Frameworks Hugging Face, Transformers, PEFT, LangChain, LlamaIndex, Haystack LLMs & APIs OpenAI (GPT-4, GPT-3.5), Claude, Mistral, LLaMA, Cohere, Gemini, Azure OpenAI Vector Databases FAISS, Pinecone, Weaviate, ChromaDB Serving & DevOps Docker, FastAPI, Flask, GitHub Actions, Kubernetes Deployment Platforms AWS Bedrock, Azure ML, GCP Vertex AI, Lambda, Streamlit Monitoring Prometheus, MLflow, Langfuse, Weights & Biases

Responsibilities: Experience in Large Language Models (LLMs) with deep dive into Generative AI applications using Python to optimize platform functionalities Good exposure with implementing robust CI/CD automation and orchestration using tools like Azure DevOps Research and implement appropriate AI/ML algorithms and tools for developing machine learning applications to requirements Design and implementation of the overall web architecture with real time exposure of developing REST APIs Good command for designing and building the entire stack for speed and scalability Good exposure for building models, algorithms, simulations and performance evaluation by writing highly optimized, deployable code using AI-ML technologies Exposure with building solutions for data discovery, data acquisition, data processing cleaning, data integration, data interpretation Define and manage the process of production using machine learning models through MLOps pipelines for development, continuous integration, continuous delivery, verification, validation, and monitoring of AI/ML models Involve with stakeholders to analyse for solving business problems using Machine learning/ Artificial Intelligence solutions for deployment on a cloud platform Alignment with industry trends, innovations and developments in AI/ML and work with other ML teams to pilot new advances and keep the organisation future-ready Understanding customer pain points, business requirements and developing models that help to achieve them, along with metrics to track their progress Commanding exposure with scope, define, and deliver AI-based data products covering data analysis, visualization, storytelling and data technologies Perfectly collaboration of product, data science, and other stakeholders to translate business needs into powerful technical solutions Requirements Bachelor's degree in Computer science, Engineering, Mathematics, Statistics or a related field Significant good exposure in Python/R with at least 5+ years of experience developing and deploying ML and DL models Familiarity with algorithms both in supervised and un-supervised learning Should have significant command of Generative AI, Microsoft OpenAI platform (Azure OpenAI), GPTs, LLMs concepts and techniques with solid hands-on experience Exposure at implementing CI/CD pipelines to streamline development and deployment Expertise with hands on experience in Vector Databases for semantic search, Advanced RAG approaches for LLM models Very Good experience in Machine Learning, Deep Learning, Computer Vision, NLP with model architecture Expertise in effectively building and deploying ML systems using frameworks such as PyTorch, TensorFlow, Keras, sklearn etc Exposure in modular, typed, and object-oriented Python programming Familiar with the core data science languages (such as Python, R, Scala) and with data systems (e.g.SQL, NoSQL) Excellent communication skills with a desire to work in multidisciplinary teams Expert for analysing the errors of the model and designing strategies to overcome them

Purchase of lands required for Mining & Plant by direct negotiation with farmers. Due diligence for purchase of land and coordination with external and Internal advocates for TSR and other legal documentation. Conversion of lands for Non-agricultural purposes. Liaison with Department of Mines & Geology, Industries, KSPCB, Irrigation & water resource, Forest department and other government agencies, Revenue, etc for obtaining licenses, statutory clearances, permits, etc. Coordination with revenue department for registration & mutation and other related activities. Drafting suitable sale deeds and suitable communications /letters and replies to submit to appropriate authorities. To follow up with Local courts and district court to resolve the pending litigations Assisting in other dept activities to achieve the organizational goals, vision and mission. Any other work assigned on time to time basis

Hi Connections, We have an immediate requirement on Gen AI MI Role: Technology Lead MandatorySkills: Aws Sagemaker, LLM, Gen Ai Location: Bengaluru Work Mode: Hybrid Job Description: well-versed Gen AI-ML resource who can work on the AwsSagemaker for LLM Model training and also can perform development using Terraform. Preferred candidate profile

Primary Skills (Must have hands on Exp): Gen AI, RAG, LLM, Agentic AI, Data Science, Python, AI/ML, API Integration GenAI Expertise: Extensive experience in building Generative AI applications, including RAG, LLM chaining using Langchain, prompt engineering. Develop Python-based backend services, APIs, and orchestrators that manage tool invocation, context handling, and task decomposition. Develop goal-oriented autonomous agents capable of planning, decomposing tasks, and invoking tools via APIs and actions. Performance Optimization: Proven ability to optimize Azure OpenAI models for enhanced performance and scalability. API Integration: Experience in integrating OpenAI models into software applications using OpenAI APIs. Documentation: Excellent documentation and communication skills. Role & responsibilities : As a Technical Architect with expertise in OpenAI technology, you will play a pivotal role in the design, implementation, and optimization of AI applications and systems. You will collaborate closely with cross-functional teams, software engineers, data scientists, and product managers to ensure the successful deployment of OpenAI technology. Your responsibilities will include: Primary Responsibilities: AI Solution Design: Lead the design of AI solutions powered by OpenAI technology, defining system architecture and components. Technical Leadership: Provide technical leadership and guidance to development teams in implementing OpenAI solutions. OpenAI Model Selection: Identify and recommend the appropriate OpenAI models, such as GPT-3, GPT-4, or specific language models, based on project requirements. Scalability and Performance: Ensure that AI solutions are scalable and optimized for performance, especially when dealing with large datasets. API Integration: Integrate OpenAI APIs and SDKs into applications and services, ensuring seamless functionality. Model Fine-Tuning: Collaborate with data scientists to fine-tune OpenAI models for specific use cases or domains. Data Processing: Oversee data preprocessing and feature engineering to prepare data for input into OpenAI models. Security and Compliance: Address security and compliance considerations in OpenAI-powered solutions, particularly when handling sensitive data. Documentation: Create and maintain technical documentation for OpenAI architectures, model usage, and best practices. Training and Mentorship: Mentor team members and facilitate knowledge sharing and skill development. Conduct code reviews and refactoring wherever possible

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

Role - Data Scientist Skill - Data Scientist + LLM + Gen AI + Deep Learning Designation - Sr. Consultant (AVP) The Senior AI Scientist is a technical role responsible for driving the design, development, and deployment of advanced AI components, models and systems. With 7+ years of experience in artificial intelligence and machine learning, this role is focused on hands-on research, solution prototyping, and enterprise-grade implementation across foundational models, generative AI, and multi-modal applications. The individual is expected to contribute deep technical expertise, execute on complex AI initiatives, and mentor junior scientists. The ideal candidate combines a strong research background with architectural thinking, practical implementation experience, and the ability to collaborate across cross-functional data, business, product and other teams. Responsibilities Develop the organizations AI research agenda, with a focus on AI (NLP/ML models), foundational models, generative AI, Agentic AI solutions and multi-modal systems aligned to business priorities. Develop end-to-end AI components and capabilities, from ideation and prototyping to scalable, enterprise-grade deployment. Translate cutting-edge research into real-world AI components, perf-ormance optimization, data generation, and integration with existing data and platf-orm ecosystems. Collaborate cross-functionally across product, business and other teams to drive alignment between AI research strategy and enterprise technology roadmaps. Ensure compliance and optimize perf-ormance, covering data governance, industry standards, and model efficiency. Ensure responsible and ethical AI development, incorporating model governance, explainability, fairness, and bias mitigation into the AI lifecycle. The person has to perf-orm testing, validation of the components with reproducible matrix. The person has to perf-orm cross collaboration and work on activities like generation of synthetic data, test suite development, Fine tuning and metrics validation. Good to have - Contribution to Whitepaper, blog authoring / contribution, Github Open source AI projects. Skills Expertise in software languages like Python / Java / .NET, R, PySpark, etc (Atleast 1 language) and SQL Expertise in developing AI and ML based solutions involving LLMs, NLP, Speech, Video, Agentic AI and other Deep Learning based models. Should have worked on Frameworks and libraries like Tensorflow, PyTorch, ScikitLearn, Ollama, Nemo, Transf-ormers, Torch lightning, NIMS library, Unsloth, etc. Should have exposure working on Fine tuning of LLM models using Open source libraries. Ability to pursue new innovative solutions based on the new and latest technological developments and stacks. Ability to validate the solutions based on metrics, components to be part of larger integral system. Experience in Machine learning models like statistical, time series, stochastic, etc. Possess good concepts in various Machine learning algorithms and metrices. Experience in NLP based solutions like extraction, summarization, cl-assification, etc using libraries like RASA, BERT, etc. Experience in developing chatbots, QA solutions, etc. Experience in replicating the solution for different business streams as per the requirement by fine tuning the models. Experience in using AI Cloud services in developing platf-orm / end to end solutions. Good to have exposure to Cloud based deployment of AI solutions Exposure to atleast 1 Cloud services (AWS, Azure, GCP) is expected Should have experience in developing GenAI solutions making use of cache like RAGs (Chroma DB, FAISS, etc) and internal memory. Good to have experience in developing Hash, GraphAI, etc based NLP components like models, RAGs, etc Capable of communicating AI strategy, technical insights, and roadmaps to senior stakeholders for strategic alignment Solid grasp of data privacy, security, and compliance standards in WNS Adaptability and a continuous learning mindset and excellent communication

The incumbent should be a Law graduate (LLB) / a postgraduate qualification (LLM) from a reputed law school , and must possess a minimum of 10 years of experience in the legal department with strong core legal expertise in corporate law, preferably within the manufacturing, FMCG, or real estate sectors. The incumbent should hold a Bachelor's Degree in Computer Science / Information Technology with minimum of 1 0 years of experience in IT Department in Manufacturing Industries. Designation: Legal Manager Job Location: Chennai Reporting to: Head Legal / MD Expertise in: Property & Real Estate Law, Trademark Law, Civil Law & Corporate Law Job Description: The Legal Manager will be responsible for overseeing and managing all legal matters concerning Property, Corporate, Civil, Real Estate, Trademark , and Intellectual Property laws. This role involves offering strategic legal counsel to senior management, ensuring full regulatory compliance, mitigating legal risks, and safeguarding the organizations interests in a dynamic and growth-oriented environment. Key Responsibilities: 1. Property & Real Estate Law: Review, draft, and negotiate lease agreements, sale deeds, MoUs, title documents, and other related documents. Conduct comprehensive legal due diligence of properties, including verification of titles, encumbrances, and land-use permissions. Handle land acquisition, lease renewals, property tax issues, and registration formalities. Coordinate with landowners, external counsels, and government bodies. Support corporate loan processes with legal documentation, securities, and MODs. 2. Corporate Law & Compliance: Draft and vet board resolutions, shareholders agreements, JV agreements, and other corporate documents. Advise on mergers, acquisitions, restructuring, and compliance with statutory filings. Manage legal issues pertaining to civil, criminal, and contractual (CCC) matters. 3. Civil & Contractual Matters: Prepare, review, and negotiate commercial contracts, service agreements, NDAs, vendor contracts, and export/import agreements. Support arbitration and litigation procedures, including documentation and case tracking. Liaise with external legal advisors for court proceedings and updates. 4. Trademarks & Intellectual Property Oversee trademark registrations, renewals, and enforcement of brand IP rights. Handle IP disputes, infringements, and opposition filings. Maintain the companys IP portfolio in collaboration with IP consultants. 5. Risk Management & Legal Advisory Provide legal opinions and develop risk mitigation strategies for business functions. Assist in internal investigations, audits, and corporate compliance activities. Conduct awareness sessions and training programs on legal and regulatory frameworks. Key Skills & Competencies: Strong knowledge of Indian laws (Property, Corporate, Civil, IPR) . Excellent legal drafting, negotiation, and communication skills. Proven litigation management and external counsel coordination. Detail-oriented, proactive, and solution-driven. High integrity and sound judgment. Note: Interested candidates meeting the above JD requirements are welcome to apply. Our official Email id: info@pyramidhrc.com. Our contact no: 8903817147 Note: Please go through the complete Job Description and do self assessment before contacting us. Perks and Benefits 15 - 20% Hike from current CTC

We are seeking a highly skilled Quality Engineer Data to ensure the reliability, accuracy, and performance of data pipelines and AI/ML models within our SmartFM platform . This role is critical to delivering trusted data and actionable insights that drive smart building optimization and operational efficiency. Key Responsibilities: Design and implement robust QA strategies for data pipelines , ML models , and agentic workflows . Test and validate data ingestion and streaming systems (e.g., StreamSets , Kafka ) for accuracy, completeness, and resilience. Ensure data integrity and schema validation within MongoDB and other data stores. Collaborate with Data Engineers to proactively identify and resolve data quality issues. Partner with Data Scientists to validate ML/DL/LLM model performance, fairness, and robustness. Automate testing processes using frameworks such as Pytest , Great Expectations , and Deepchecks . Monitor production pipelines for anomalies, data drift , and model degradation . Participate in code reviews , QA audits, and maintain comprehensive documentation of test plans and results. Continuously evaluate and improve QA processes based on industry best practices and emerging trends. Required Technical Skills: 510 years of QA experience with a focus on data validation and ML model testing . Strong command of SQL for complex data queries and integrity checks. Practical experience with StreamSets , Kafka , and MongoDB . Proficient in Python scripting for automation and testing. Familiarity with ML testing metrics , model validation techniques, and bias detection . Exposure to cloud platforms such as Azure , AWS , or GCP . Working knowledge of QA tools like Pytest , Great Expectations , and Deepchecks . Understanding of Node.js and React-based applications is an added advantage. Additional Qualifications: Excellent communication , documentation , and cross-functional collaboration skills. Strong analytical mindset and high attention to detail. Ability to work with cross-disciplinary teams including Engineering, Data Science, and Product. Passion for continuous learning and adoption of new QA tools and methodologies. Domain knowledge in facility management , IoT , or building automation systems is a strong plus.

Title: Agentic AI and Domain-Specific LLM Developer We are seeking talented and passionate developers with experience in developing customized solutions based on the NVIDIA Morpheus Cyber AI framework to join our team. In this role, you will be instrumental in the development of a state-of-the-art Grid Cybersecurity software platform designed to safeguard electric sector critical infrastructure from emerging cyber threats. Your new role will be challenging and future-oriented: Design, develop, and implement cybersecurity solutions using NVIDIA Morpheus Cyber AI framework, NVIDIA AgentIQ toolkit, NVIDIA Blue Field, Domain-Specific LLM, Open API, and OpenUSD. Collaborate with cross-functional teams to integrate AI-driven security features into the Grid Cybersecurity platform. Analyze and process large datasets to identify and mitigate potential published and zero-day OT/ICS vulnerabilities. Develop and maintain robust, scalable, and secure software CI/CD processes and have experience with DevSecOps software composition analysis tools. Troubleshoot, debug, and optimize existing software for improved performance and security. Stay up to date with the latest advancements in AI and cybersecurity to ensure our platform remains at the forefront of innovation. We dont need superheroes, just super minds: Bachelor masters degree in Artificial Intelligence, OT/ICS Cybersecurity, Computer Science, Embedded Device Engineering, or a related field. Proven experience with NVIDIA Morpheus Cyber AI framework and comparable AI frameworks. Experience with operational technology (OT)/industrial control systems (ICS) critical infrastructure cybersecurity technologies. Strong programming skills in Python. Additional languages such as C++ or Java is a plus. Commercial product experience with AI, machine learning, and customizing common AI frameworks for specific use cases. Strong experience with DevOps, DevSecOps, AIOps/AI Governance, and MLOps. Stay up to date on new developments in AI for Cybersecurity. Experience presenting at technical conferences is a plus. Experience with AI trust documentation projects. Ability to work collaboratively in a fast-paced, dynamic environment. Excellent innovation, problem-solving, and communication skills. Familiarity with project management systems, including Jira or Trello. Familiarity with Software Bill of Materials (SBOM) for vulnerability management. Experience with grid computing and large-scale distributed data processing. Knowledge of private cloud platforms such as AWS, Azure, or Google Cloud. Understanding of networking protocols and security measures. Experience with digital twins for cybersecurity.

Key Responsibilities: Lead research activities and collaborate with extended R&D team to build LLM-powered usecases. Conduct rigorous performance evaluation of the responses from LLM-powered applications. Utilize prompt/instruction tuning techniques to improve the performance of LLMs. Utilize one-shot/few-shot learning techniques to enhance the capabilities of LLMs. Conduct LLM literature analysis to stay up-to-date with the latest advancements in the field. Qualifications: Minimum Master's degree in data science, computer science or related field. 3-4 years of experience in large language models (LLM) and classic NLP techniques. At least 1 year of experience in prompt engineering. Hands-on experience with text data wrangling. In-depth knowledge of LLMs and their limitations. Experience/familiarity with LangChain and similar tools. OOP and Python coding proficiency. Strong communication and collaboration skills.

1. Scope of position We are seeking a highly skilled and motivated Operations Manager with a strong understanding of STEM disciplines to lead a dynamic, innovative team. The candidate will have proven leadership experience, with a strong foundation in science, technology, engineering, or mathematics, and a passion for driving excellence in STEM projects. 2. Skills/Qualifications required ? Master's or PHD degree in STEM fields (e.g., Computer Science, Engineering, Mathematics, Physics, Chemistry, etc.) or a related domain . ?Excellent people management skills, must have experience as an OM for a minimum of 2 years with a minimum of 1 year handling STEM related projects. ?Experience managing large teams of 100+ FTE's. ? Should have very good understanding on various STEM subjects, and check if the end result is correct in order to help with AI model training. ? Strong logical reasoning, decision-making skills and the ability to multitask. ? Experience in the Gen AI - Content rating/writing/annotation industry is preferred, as it provides insights into the specific challenges and opportunities within the field. ?Flexibility to work on time-sensitive projects and rotational shifts. ?Proficient in G-suite and must have prior experience working with large technology companies as a service provider. ? Experience in budgeting and forecasting and headcount planning including ways to reduce cost and driving efficiencies. ?Strong communication skills- Verbal & written, Strong interpersonal skills, Strong Aptitude, Analytical, Logical Reasoning and Data Interpretation Skills. ? Strong analytical and research skills; Detail-oriented; Strong problem-solving skills ? Familiarity with emerging technologies such as AI, Machine Learning, LLM etc. ? This is a WFO requirement (Noida or Hyd). ? Understand P&L accounts and know how to drive efficiency and improve margins with a strong focus on revenue growth. ?Proficient in English. ?Handle day-to-day operations, utilizing analytics to improve decision-making, coaching team members for professional growth, recognizing achievements, and implementing robust performance management strategies. ?Regularly interact with internal and external stakeholders, effectively sharing updates, conducting operational reviews to identify areas for improvement, and leading project and program-level reviews to ensure alignment with organizational objectives. ?Possess a deep understanding of the workflow and operational focus, leveraging this knowledge to optimize processes and drive efficiency. ?Manage timelines, sets realistic deadlines, and conducts independent assessments of project deliverables to ensure timely completion and adherence to quality standards. ?Communicate clear goals, execution strategies, and guidance to the team, fostering a culture of transparency, accountability, and collaboration. ?Support the implementation of company programs, procedures, methods, and practices, ensuring compliance and alignment with organizational policies and regulations. 3. Key responsibilities ?Lead and manage a multidisciplinary team of STEM professionals, providing guidance, mentorship, and motivation to ensure high performance and personal development. ?Oversee and manage the execution of complex STEM projects, ensuring timelines, quality standards, and budgets are adhered to. ?Excellent hands on skills to get into the process deeply & ability to identify the gaps and suggest improvement plans to process ?Should have a sound knowledge of MIS and reporting activities.Experience on Google Office Suite is required. ?Should be able to motivate, develop and mentor team members in a dynamically changing environment ?Monitor projects/transactions and provide qualitative/constructive feedback to the team members ?Foster a collaborative and inclusive environment that encourages innovation and knowledge-sharing. ?Work closely with other stakeholders to define project scope, set clear objectives, and track progress. ?Should have excellent problem solving capabilities and lateral thinking skills ?Should be open to work in 24/7 environment ?Shows flexibility/ownership & ability to work under pressure situation Ability to work within challenging environment

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Sr. Data Science & AIML, GenAI Lead/Engineer to join our team in Bangalore, Karn?taka (IN-KA), India (IN). Job Duties: Job Title: Data Science & AIML, GenAI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Minimum Skills Required: Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to Langchain.

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Mid Data Science & AIML, GenAI Lead/Engineer to join our team in Mumbai, Maharashtra (IN-MH), India (IN). Job Duties: Job Title: Data Science & AIML, GenAI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Minimum Skills Required: Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to Langchain.

Job Description NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a AI Data Engineer to join our team in Bangalore, Karn?taka (IN-KA), India (IN). Job Title: Data Science & AIML, GenAI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to Langchain. #GenAINTT

Job Duties: Job Title: Data Science & AIML, Gen AI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Minimum Skills Required: Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (Gen AI) and Large Language Models (LLM). Exposure to Lang chain.

Job Description Job Title: Data Science & AIML, GenAI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to Langchain.

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Sr. Data Science & AIML, Gen AI Lead/Engineer to join our team in Bangalore, Karnataka (IN-KA), India (IN). Job Duties: Job Title: Data Science & AIML, Gen AI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Minimum Skills Required: Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (Gen AI) and Large Language Models (LLM). Exposure to Lang chain.