96 Weaviate Jobs

Role Overview: We are seeking an experienced Senior Data Scientist to lead data-driven initiatives, perform advanced exploratory data analysis, and build & deploy scalable machine learning models. The ideal candidate will have strong expertise in Python, generative AI (GenAI), and machine learning deployment frameworks, with a good understanding of the life sciences domain. Key Responsibilities: 8 to 10 years of experience in leading design and development of advanced ML and Generative AI models. Drive end-to-end data science projects from data preparation to deployment. Apply LLMs, transformers, and other GenAI techniques to business problems. Guide and mentor junior data scientists in technical delivery. Partner with stakeholders to translate business needs into AI solutions. Ensure scalability, performance, and reliability of deployed models. Stay current with GenAI advancements and evaluate adoption for the organization. Required Skills: Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn). Deep expertise in NLP, LLM fine-tuning, transformers, and GenAI frameworks. Experience with MLOps, model deployment, and cloud platforms (AWS, Azure, GCP). Strong knowledge of data engineering concepts, feature engineering, and large-scale data handling. Experience with vector databases (FAISS, Pinecone, Weaviate) and orchestration tools (LangChain, LlamaIndex). Excellent problem-solving, communication, and leadership skills. Show more Show less

As a Generative AI Expert at Cogniter Technologies, you will be a valuable member of our advanced AI/ML team. Your role will involve designing and delivering scalable AI applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and vector databases. Key Responsibilities: - Develop intelligent applications using models such as GPT-4, LLaMA, Mistral, Falcon. - Architect and implement RAG pipelines for knowledge-driven AI systems. - Build AI agents with frameworks like LangChain. - Integrate vector databases (FAISS, Pinecone, Weaviate) for semantic search. - Deploy and manage real-time inference engines (e.g., Groq). - Optimize LLM performance, token usage, context handling, and prompts. - Collaborate with cross-functional teams to embed AI into production applications. - Stay updated on Generative AI and multimodal AI innovations. If you are passionate about building intelligent systems that solve real-world problems, Cogniter Technologies is looking forward to hearing from you.,

Role Overview: As a Senior Consultant in TMT Business Consulting Finance at EY, you will have the opportunity to work with Technology, Media & Entertainment, and Telecommunications organizations to help them evolve, transform, and stay competitive in the industry. Your role will involve creating compelling employee and customer experiences, ensuring operational excellence, safeguarding data and reputation, and supporting M&A strategies. You will play a key part in shaping the future of the technology revolution and contributing to building a better working world for all. Key Responsibilities: - Develop end-to-end GenAI solutions using LLMs (OpenAI, Claude, Llama, Gemini, etc.) - Build and manage multi-agent orchestration using frameworks like AutoGen, CrewAI, Semantic Kernel - Design document chunking, embedding, and indexing pipelines using Pinecone, Weaviate, FAISS, pgvector - Optimize RAG pipelines for latency, relevance, and safety - Create reusable prompt templates for zero-shot, few-shot, and chain-of-thought applications - Fine-tune open-source models using LoRA, QLoRA, or supervised datasets when needed - Containerize AI workflows using Docker/Kubernetes and deploy on Azure/AWS/GCP - Set up CI/CD pipelines, logging, monitoring, and automated evaluation metrics (hallucination, toxicity) - Maintain clean code, modular utilities, internal documentation, and reusable accelerator components for the GenAI Factory Qualifications Required: - 3-5 years of practical experience in building GenAI or Agentic AI applications with measurable business outcomes - Strong Python skills (asyncio, FastAPI, LangChain, Pydantic), basic JavaScript/TypeScript for integration plugins - Experience with LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and Hugging Face ecosystem - Expertise in machine learning algorithms and deep learning techniques (e.g., BERT, GPT, LSTM, CNN, RNN) - Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field Additional Company Details: At EY, you will have the opportunity to work with over 200,000 clients globally and be part of a team of 300,000 professionals, including 33,000 individuals in India. EY is committed to investing in the skills and learning of its employees, offering personalized Career Journeys and access to career frameworks to enhance roles, skills, and opportunities. The organization is dedicated to being an inclusive employer, striving to achieve a balance between delivering excellent client service and supporting the career growth and well-being of its employees.,

As a highly skilled GenAI Lead Engineer, your role will involve designing and implementing advanced frameworks for alternate data analysis in the investment management domain. You will leverage LLM APIs (such as GPT, LLaMA, etc.), build scalable orchestration pipelines, and architect cloud/private deployments to drive next-generation AI-driven investment insights. Additionally, you will lead a cross-functional team of Machine Learning Engineers and UI Developers to deliver robust, production-ready solutions. **Key Responsibilities:** - **GenAI Framework Development:** Develop custom frameworks using GPT APIs or LLaMA for alternate data analysis and insights generation. Optimize LLM usage for investment-specific workflows, including data enrichment, summarization, and predictive analysis. - **Automation & Orchestration:** Design and implement document ingestion workflows using tools such as n8n (or similar orchestration frameworks). Build modular pipelines for structured and unstructured data. - **Infrastructure & Deployment:** Architect deployment strategies on cloud (AWS, GCP, Azure) or private compute environments (CoreWeave, on-premises GPU clusters). Ensure high availability, scalability, and security in deployed AI systems. **Qualification Required:** - Strong proficiency in Python with experience in frameworks such as TensorFlow or PyTorch. - 2+ years of experience in Generative AI and Large Language Models (LLMs). - Experience with VectorDBs (e.g., Pinecone, Weaviate, Milvus, FAISS) and document ingestion pipelines. - Familiarity with data orchestration tools (e.g., n8n, Airflow, LangChain Agents). - Understanding of cloud deployments and GPU infrastructure (CoreWeave or equivalent). - Proven leadership skills with experience managing cross-functional engineering teams. - Strong problem-solving skills and ability to work in fast-paced, data-driven environments. - Experience with financial or investment data platforms. - Knowledge of RAG (Retrieval-Augmented Generation) systems. - Familiarity with frontend integration for AI-powered applications. - Exposure to MLOps practices for continuous training and deployment.,

About Us At InzpireU, we are on a mission to amplify human potential through AI-powered mentorship, learning, and accountability. We believe AI should serve as an enabler of growthnot a replacement for people. As an AI Intern, you will be part of a passionate team building next-gen solutions that combine AI, data, and human guidance to transform how individuals and organizations learn, grow, and succeed. Role Overview We are seeking a motivated AI Intern who is eager to gain hands-on experience in applied AI, product development, and data-driven solutions. You will support the design, development, and testing of AI features across mentorship, learning personalization, and outcome tracking. This is an excellent opportunity to learn, experiment, and build real-world AI applications in a fast-paced startup environment. Key Responsibilities Assist in building and fine-tuning AI/ML models (LLMs, recommendation engines, NLP, etc.). Support integration of AI features into our platform (e.g., Co-Guru, APEX assessments, document writers). Research emerging AI tools and frameworks (e.g., LangChain, OpenAI, Gemini, vector databases) and provide insights for adoption. Help design conversational AI prompts, workflows, and evaluation strategies. Work with the engineering team to clean, label, and prepare datasets. Document experiments, findings, and best practices to build internal AI knowledge. Collaborate with product managers and mentors to align AI solutions with user needs. Requirements Currently pursuing a degree in Computer Science, AI/ML, Data Science, or related field . Basic understanding of Python , ML libraries (TensorFlow, PyTorch, scikit-learn), or LLM frameworks. Familiarity with APIs, databases, and cloud services (AWS/GCP/Azure is a plus). Strong interest in Generative AI, NLP, and applied machine learning . Analytical mindset with eagerness to learn and experiment. Good communication skills and ability to work in a collaborative, remote-first team. Preferred (Nice to Have) Hands-on experience with LangChain, RAG pipelines, vector databases (Pinecone, Weaviate, FAISS) . Exposure to AI ethics, bias mitigation, and responsible AI frameworks . Prior projects (academic or personal) in chatbots, recommendation systems, or predictive analytics . What Youll Gain Real-world exposure to AI product development in a startup environment . Mentorship from experienced engineers and AI innovators. Opportunity to contribute to features that directly impact users. Potential pathway to a full-time AI Engineer role upon successful completion. Show more Show less

About The Company BP Energy is a global leader in the energy sector, committed to delivering innovative and sustainable energy solutions. With a rich history of operational excellence and a focus on technological advancement, BP Energy is dedicated to transforming the future of energy through cutting-edge innovation, responsible practices, and a commitment to reducing carbon emissions. The company fosters a dynamic and inclusive work environment that encourages continuous learning and professional growth, aiming to create value for stakeholders while contributing positively to society and the environment. About The Role We are seeking a highly experienced and visionary Staff AI Engineer to join BP Energy&aposs AI Acceleration organization. This role is pivotal in designing, developing, and deploying scalable AI-powered applications that provide tangible business value. The ideal candidate will possess a deep understanding of modern AI tooling, infrastructure, and disciplined software engineering principles. You will lead initiatives that involve building foundational AI platforms, integrating advanced AI models, and automating workflows to enhance operational efficiency and innovation across the enterprise. In this role, you will collaborate closely with cross-functional teams including data scientists, product managers, and business stakeholders to translate complex technical ideas into impactful solutions. You will also provide technical mentorship, influence architectural decisions, and champion best practices in responsible AI deployment. This position offers an exciting opportunity to shape the future of AI at BP Energy, working on high-impact projects that drive real-world results and sustainability initiatives. Qualifications Required: 12+ years of professional software engineering experience with a proven track record of designing and deploying sophisticated systems in production environments. Strong programming skills in Python (preferred), Java, or similar languages, with extensive experience in developing microservices, APIs, and backend architectures. Deep understanding of software architecture, cloud infrastructure (AWS, Azure, GCP), and modern DevOps practices. Hands-on experience integrating machine learning models into production systems, including LLMs via APIs, fine-tuning, retrieval-augmented generation, embeddings, and agent-based frameworks. Comprehensive knowledge of large language models, vector-based search, unstructured data processing, and related AI technologies. Proven ability to work efficiently without compromising code quality, test coverage, or operational standards. Exceptional problem-solving skills, with a bias for action and the ability to navigate ambiguity and complexity effectively. Experience in technical mentorship and influencing cross-team initiatives. Excellent communication skills, capable of translating complex technical concepts into clear business insights. Preferred Familiarity with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems. Experience with GenAI frameworks like LlamaIndex, Crew AI, AutoGen, or similar agent orchestration tools. Background in building reusable ML components or contributing to internal ML platform development. Experience working in embedded or forward-deployed teams requiring rapid iteration and close collaboration with business units. Proficiency with Python and ML/data science libraries such as scikit-learn, pandas, NumPy, PyTorch, TensorFlow. Understanding of machine learning fundamentals, including supervised and unsupervised learning, model evaluation, and statistical inference. Experience working with unstructured data types like documents, conversations, or images and transforming them into structured formats. Previous experience building chatbots, search engines, or generative AI interfaces. Background in platform engineering or internal developer tools teams is advantageous. Responsibilities Design, develop, and maintain production-grade AI applications and services, adhering to modern software engineering practices such as CI/CD, testing, observability, and cloud-native design. Define and implement foundational AI platforms, including conversational bots, AI-powered search, unstructured data processing, and GenAI solutions, ensuring reusability and scalability enterprise-wide. Lead architectural decisions, establishing guidelines for software development lifecycle, explainability, and responsible AI practices. Drive cross-functional initiatives with business stakeholders to rapidly develop and deploy AI solutions addressing high-priority challenges. Evaluate and integrate existing AI tools, frameworks, and APIs, including LLMs, vector databases, retrieval-augmented generation, and other relevant technologies. Champion automation across workflowsfrom data ingestion and preprocessing to model deploymentdefining success metrics and operational procedures. Partner with data scientists, product managers, and engineers to ensure end-to-end delivery, performance, and reliability of AI products. Stay abreast of emerging AI technologies, prioritizing practical applications that deliver tangible value. Contribute to internal knowledge bases, tooling libraries, and documentation to promote best practices organization-wide. Mentor engineering teams and data scientists, providing technical leadership and raising standards for rigor and impact. Benefits BP Energy offers a comprehensive benefits package designed to support the well-being and professional growth of our employees. This includes competitive salary packages, health insurance, retirement plans, and paid time off. We promote a flexible work environment with hybrid working arrangements to support work-life balance. Employees have access to continuous learning opportunities, technical training, and development programs. Additionally, BP Energy fosters an inclusive culture that values diversity, innovation, and collaboration, providing a platform for employees to thrive and make meaningful contributions to the future of energy. Show more Show less

Job Title: Sr. AI/ML Engineer-Gen AI Location: Bangalore Experience: 4+ years About the Role: We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation . You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities: Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment . Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. Develop and optimize ML models , leveraging classical and deep learning techniques. Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate . Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon ) for domain-specific use cases. Develop data pipelines for training, validation, and inference. Work on scalable AI solutions , ensuring performance and cost efficiency in deployment. Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications: 4+ years of experience in AI/ML development. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers . Hands-on experience with LLMs, GenAI, and RAG architectures . Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). Knowledge of ML algorithms , deep learning architectures, and NLP techniques. Familiarity with cloud platforms ( AWS, GCP, or Azure ) and AI/ML model deployment. Experience with LangChain or LlamaIndex for LLM applications is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. Perks & Benefits: Health and Wellness: Healthcare policy covering your family and parents. Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore) Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities. Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs. Rewards and Recognition&aposs: Recognition and rewards programs in place to celebrate your achievements and contributions. To find out more about us, head over to our Website and LinkedIn Show more Show less

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We are currently seeking Senior Level Consultants with expertise in Generative AI to join our Supply Chain Technology group within the GDS consulting Team. This role offers the opportunity to work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. You will play a key role in driving new business initiatives and solutions for our clients within the Supply Chain industry. Key Responsibilities: - Collaborate with data engineering teams to enable high-quality data curation for model training and evaluation. - Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch. - Implement solutions for data pre-processing, tokenization, and dataset augmentation. - Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness. - Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies. - Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency. - Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows. Skills and Attributes for Success: - 4-7 years of experience in Generative AI, Machine Learning, or Analytics development. - Proficiency in Python with focus on AI/ML libraries and frameworks like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers. - Experience with data pipelines and tools like Spark, Snowflake, or Databricks. - Strong hands-on experience deploying AI models on cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML). - Expertise in Model Development with in-depth knowledge of LLMs such as GPT-3.5, GPT-4, DALL-E, and others. - Experience with tools like MLflow, Kubeflow, or Airflow for operationalizing ML workflows. - Ability to mentor developers and contribute to architectural decisions. - Familiarity with Vector Databases and embeddings. - Knowledge of NLP techniques like summarization, text classification, and entity recognition. - Certifications in Machine Learning or cloud platforms are a plus. Qualifications: - 4-7 years of ML, MLOps, Generative AI experience as Developer/Lead/Architect. - Expertise in Data Engineering, Data transformation, curation, feature selection, ETL mappings, and Data Warehouse concepts. - Proficiency in SQL, Python, PySpark, Spark, and other languages. - Knowledge of Cloud platforms and frameworks like LangChain, Hugging Face, Azure ML Studio. - Experience in designing and developing end-to-end GenAI solutions for production. - Strong communication skills and ability to interact with clients to understand business requirements. EY offers a dynamic and inclusive work environment where you can contribute to cutting-edge projects and develop your skills. Join us in building a better working world through innovation and collaboration.,

As a Generative AI Architect with 5 to 10+ years of experience, you will be responsible for designing, developing, and deploying enterprise-grade GenAI solutions. Your role will require in-depth expertise in LLMs, RAG, MLOps, cloud platforms, and scalable AI architecture. You will architect and implement secure, scalable GenAI solutions using LLMs such as GPT, Claude, LLaMA, and Mistral. Additionally, you will build RAG pipelines with LangChain, LlamaIndex, FAISS, Weaviate, and ElasticSearch. Your responsibilities will also include leading prompt engineering, setting up evaluation frameworks for accuracy and safety, and developing reusable GenAI modules for function calling, summarization, document chat, and Q&A. Furthermore, you will deploy workloads on AWS Bedrock, Azure OpenAI, and GCP Vertex AI, ensuring monitoring and observability with Grafana, Prometheus, and OpenTelemetry. You will apply MLOps best practices such as CI/CD, model versioning, and rollback. Researching emerging trends like multi-agent systems, autonomous agents, and fine-tuning will also be part of your role, along with implementing data governance and compliance measures like PII masking, audit logs, and encryption. To be successful in this role, you should have 8+ years of experience in AI/ML, including 2-3 years specifically in LLMs/GenAI. Strong coding skills in Python with Hugging Face Transformers, LangChain, and OpenAI SDKs are essential. Expertise in Vector Databases like Pinecone, FAISS, Qdrant, and Weaviate is required, along with hands-on experience with cloud AI platforms such as AWS SageMaker/Bedrock, Azure OpenAI, and GCP Vertex AI. Experience in building RAG pipelines and chat-based applications, familiarity with agents and orchestration frameworks like LangGraph, AutoGen, and CrewAI, knowledge of MLOps stack including MLflow, Airflow, Docker, Kubernetes, and FastAPI, as well as understanding of prompt security and GenAI evaluation metrics like BERTScore, BLEU, and GPTScore are also important. Excellent communication and leadership skills for architecture discussions and mentoring are expected in this role.,

As an AI Developer specializing in Natural Language Processing (NLP) and Large Language Models (LLMs), you will have the opportunity to work remotely or in a hybrid setting. In this role, whether on a full-time or contract basis, your responsibilities will revolve around developing AI-driven conversational agents using LangChain and LangGraph. You will collaborate with various LLMs such as OpenAI, Claude, and Llama, fine-tuning and customizing models to meet project requirements. Additionally, you will be tasked with implementing vector search functionalities using databases like Milvus, MongoDB, or other relevant platforms. Integration of AI models into the backend of the platforms and optimizing their performance will be a crucial aspect of your work. Furthermore, active collaboration with front-end and back-end teams is essential to enhance the overall AI functionalities of the project. To excel in this role, you should possess a strong background in utilizing LangChain, LangGraph, and OpenAI/LLM APIs. Proficiency in programming languages such as Python, along with experience in working with PyTorch, TensorFlow, and fine-tuning transformer models, will be valuable assets. Your familiarity with vector databases like Milvus, Pinecone, Weaviate, or MongoDB Atlas will play a significant role in your day-to-day tasks. Knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), and embeddings is highly desirable, alongside experience in API development and integration. Additionally, any prior exposure to cloud platforms such as AWS, GCP, or Azure will be considered advantageous. This position welcomes freshers who are eager to learn and contribute to the field of AI development, particularly in NLP and LLMs. If you are enthusiastic about leveraging advanced technologies to create innovative solutions, this role offers a stimulating environment to grow and excel in the realm of AI development.,

We are looking for a skilled Senior AI Developer to join our dynamic team. The ideal candidate will have expertise in developing and deploying AI-driven applications with a focus on retrieval-augmented generation (RAG), conversational RAG (CRAG), LangChain, LangFlow, and LanceDB. You will be responsible for designing, building, and optimizing AI models and pipelines, ensuring scalable and efficient deployment using FastAPI, Kubernetes (K8s), and Docker. As a Senior AI Developer, your responsibilities will include developing and implementing AI solutions leveraging LangChain, LangFlow, and LanceDB. You will design and optimize retrieval-augmented generation (RAG) and conversational RAG (CRAG) pipelines, as well as build and deploy AI-driven applications using FastAPI for scalable and high-performance APIs. Containerizing applications using Docker and orchestrating deployments on Kubernetes (K8s) will also be part of your role. Additionally, you will integrate AI models with databases and vector stores to enhance search and retrieval capabilities. Collaborating with cross-functional teams to design and implement end-to-end AI solutions, ensuring code quality, scalability, and security of AI applications, and staying updated with the latest advancements in AI, ML, and NLP technologies are essential aspects of this position. The qualifications we are looking for include proficiency in LangChain and LangFlow, experience working with LanceDB or other vector databases, a strong understanding of RAG and CRAG methodologies, hands-on experience with FastAPI, expertise in containerization with Docker and orchestration with Kubernetes (K8s), experience in designing and deploying scalable AI solutions, proficiency in Python and relevant AI/ML frameworks, strong problem-solving skills, ability to work in an agile development environment, familiarity with cloud platforms (AWS, GCP, Azure), experience with FAISS, Pinecone, Weaviate, or other vector stores, knowledge of OpenAI, Hugging Face Transformers, LlamaIndex, or fine-tuning LLMs, familiarity with SupaBase and Jenkins, and understanding of API gateway and load balancer. Preferred qualifications include experience in deploying AI solutions in a production environment, knowledge of MLOps tools like MLflow, Kubeflow, or Airflow for managing AI pipelines, understanding of model fine-tuning and optimization techniques, experience with monitoring and maintaining AI applications post-deployment, familiarity with AWS SageMaker, GCP Vertex AI, or Azure AI Services, and understanding of data privacy, model security, and ethical AI practices. Founded in 1986, Chiposoft is a leading software services firm based in New Delhi, India, focused on AI powered solutions and products. With almost four decades of experience, we have built a reputation for technical excellence, deep business process understanding, and customer-centric solutions. Our expertise spans AI-driven solutions, enterprise applications, and digital platforms that empower organizations to streamline operations, enhance engagement, and drive innovation. At Chipsoft, we pride ourselves on delivering state of the art, reliable, and scalable solutions while maintaining a dynamic and collaborative work environment. Our growing team of skilled professionals thrives on innovation and problem-solving, working on cutting-edge technologies and global projects, including clients in India, the US, the UK, Middle East, and Africa. As we expand our reach and explore AI-powered solutions through strategic partnerships, we are looking for talented and passionate professionals to join our team. If you are eager to work on exciting projects, cutting-edge technologies, and make a real impact, we invite you to be part of our journey. Join us and shape the future of digital transformation!,

Job Title: AI Developer Company: Technodysis Pvt Ltd Location: Bangalore Experience: 3 - 5 Years Notice Period: Immediate Joiners Preferred Job Description: We are looking for a passionate AI Developer to design and build intelligent AI agents, integrate LLMs, and leverage agentic AI frameworks to deliver next-gen AI solutions. Key Responsibilities: Design, build, and maintain AI agents with reasoning and planning capabilities Integrate and fine-tune LLMs (OpenAI, Google, open-source models) Implement frameworks like LangChain, AutoGen, CrewAI Develop and integrate APIs/tools for automation and data interaction Manage vector databases and knowledge graphs for contextual understanding Work closely with product, engineering, and data science teams Stay updated with AI/ML advancements and apply them in projects Required Skills & Qualifications: Bachelors degree in Computer Science, AI, or related field 35 years of experience in AI/ML development Strong Python skills; hands-on with TensorFlow, PyTorch, scikit-learn Experience with LLMs, prompt engineering, and fine-tuning Exposure to agentic frameworks (LangChain, AutoGen, CrewAI) Knowledge of vector DBs like Pinecone, Weaviate Familiarity with Git, CI/CD, and software best practices If interested for this role then please share your updated resume along with CTC Details to chanchal.kumar@technodysis.com

Nuum X Consulting is a leader in digital transformation, AI-driven solutions, and customer experience innovations. They empower businesses with cutting-edge AI applications to enhance operational efficiency, automate workflows, and drive intelligent decision-making. As a part of the AI innovation team, you will have a significant role in developing and optimizing Generative AI solutions for real-world applications. You will be responsible for designing, developing, and deploying state-of-the-art AI-driven applications that leverage Large Language Models (LLMs), NLP, and Deep Learning. The ideal candidate should have hands-on experience in developing AI-powered applications, fine-tuning pre-trained models, and integrating AI with existing business systems. Your key responsibilities will include building and deploying AI-driven applications using GPT, LLaMA, Falcon, or similar LLMs, fine-tuning pre-trained models for domain-specific tasks, integrating AI solutions into CRMs, automation tools, and cloud-based platforms, creating robust APIs for seamless integration of generative AI capabilities, utilizing tools like FAISS, Pinecone, Weaviate for retrieval-augmented generation (RAG) capabilities, establishing monitoring pipelines for AI model drift and continuous improvement, researching and experimenting with new AI architectures and generative AI innovations, and collaborating with data scientists, engineers, and product teams to ensure seamless AI adoption. To be considered for this role, you should have a Bachelors or Masters Degree in Computer Science, AI, Machine Learning, or a related field, along with 2+ years of experience in AI/ML application development focusing on Generative AI. Proficiency in Python, TensorFlow, PyTorch, Hugging Face Transformers, and LangChain is required. Additionally, experience in LLM fine-tuning, prompt engineering, model optimization, NLP, vector databases, embeddings, and retrieval-augmented generation (RAG) is essential. Hands-on experience with cloud AI services (AWS, Azure, GCP) for model deployment, strong understanding of AI ethics, bias mitigation, and responsible AI development, as well as excellent problem-solving, communication, and collaboration skills are also necessary. Preferred qualifications include experience with MLOps, CI/CD pipelines, and model monitoring, understanding of multi-modal AI (text, image, audio generation), exposure to Reinforcement Learning with Human Feedback (RLHF), and prior experience in AI-driven automation, chatbots, or intelligent assistants. Join Nuum X Consulting for innovative AI projects, growth opportunities, access to AI research and conferences, hands-on learning, and a collaborative culture working with top AI engineers, data scientists, and innovators.,

We are looking for AI/ML engineers who will be responsible for developing, deploying, and optimizing advanced AI models. You will have the opportunity to work with cutting-edge tools such as OpenAI APIs, Hugging Face Transformers, ONNX, and LangChain to create scalable AI solutions. Your key responsibilities will include: - Demonstrating expertise in Large Language Models (LLMs) and utilizing tools like OpenAI API, Hugging Face Transformers, and other NLP frameworks. - Proficiently fine-tuning and deploying pre-trained models across various NLP tasks. - Strong knowledge in LangChain for the construction and management of LLM pipelines. - Utilizing Vector Databases such as Pinecone, Milvus, and Weaviate for efficient data retrieval and AI-driven search. - Applying embedding techniques for tasks related to search, recommendations, and semantic similarity. - Having a solid grasp of Prompt Engineering to enhance model performance. - Demonstrating strong Python programming skills and experience with ML libraries like TensorFlow, PyTorch, and Scikit-learn. - Experience in deploying ML models using ONNX for scalable and efficient inference. - Hands-on involvement in the development, optimization, and maintenance of AI/ML models within production environments. - Ability to collaborate effectively with cross-functional teams and staying updated on the latest AI advancements to improve solutions.,

As an AI Engineer at Deriv, you will play a key role in revolutionizing the world of CFD trading by leveraging cutting-edge AI solutions. Your responsibilities will involve crafting and refining production-grade prompting strategies for large language models, building and maintaining LLM pipelines using LangChain, and developing frameworks for LLM performance metrics and quality assessments. Additionally, you will design and implement GenAI applications, optimize similarity-based retrieval systems, and architect multi-agent systems for autonomous decision-making. If you enjoy solving complex problems, staying updated on AI technologies, collaborating with diverse teams, delivering high-quality results under tight deadlines, and contributing to the future of online trading through AI, then you will thrive in this role. To excel in this position, you should be proficient in Python with a focus on GenAI best practices, have a deep understanding of LLMs, prompt engineering, and GenAI technologies, be skilled in data analysis tools like Pandas and NumPy, and possess hands-on experience with vector databases such as Weaviate or Pinecone. Strong problem-solving skills, critical-thinking abilities, clear communication skills, and an advanced degree in Computer Science, Machine Learning, or a related field are preferred qualifications. Deriv offers a dynamic work environment where you can make a significant impact by working on transformative AI projects that shape the future of online trading. You will have access to innovative tools, models, and learning resources, competitive compensation, and opportunities for career growth within a forward-thinking team committed to embracing an AI-driven future.,

About the Role: We are seeking a highly motivated and technically proficient AI Agent Development Engineer to join our advanced AI team. In this role, you will design, build, and deploy intelligent, autonomous AI agents that leverage Generative AI, Reinforcement Learning, Retrieval-Augmented Generation (RAG), and Agentic AI principles to perform complex, dynamic tasks across diverse domains. You will work at the forefront of AI agent architecture , integrating reasoning, memory, tool usage, and multi-step decision-making capabilities using state-of-the-art libraries and frameworks. Key Responsibilities: Design, develop, and deploy autonomous AI agents for real-world task automation, decision-making, and orchestration. Integrate and fine-tune LLMs (Large Language Models) for goal-oriented, tool-using agents. Implement memory-augmented reasoning, Retrieval-Augmented Generation (RAG) pipelines, and multi-agent coordination . Apply Agentic AI approaches to enable adaptive decision-making, dynamic planning, and autonomous tool usage. Work with vector databases to store and retrieve contextual memory and knowledge. Optimize agent performance using Reinforcement Learning frameworks and human feedback. Collaborate with cross-functional teams to integrate AI agents into applications and services. Monitor, test, and maintain AI pipelines in production environments. Required Skills & Experience: Strong programming skills in Python (C# or R is a plus). Proven experience in building and deploying AI agents or LLM-based applications . Hands-on expertise in: AI Agent Frameworks: LangChain, AutoGPT, BabyAGI, CrewAI, AgentGPT Agentic AI Concepts: reasoning loops, dynamic tool selection, adaptive workflows LLMs & Generative AI: OpenAI (GPT-3.5/4), Hugging Face Transformers, Anthropic Claude, Cohere RAG & Vector Search: Pinecone, FAISS, ChromaDB, Weaviate for context-aware generation Reinforcement Learning: OpenAI Gym, Stable-Baselines3, Ray RLlib NLP & Language Tools: spaCy, NLTK, TextBlob Modeling & Deployment: TensorFlow, PyTorch, Keras, Scikit-learn, MLflow APIs & UI Frameworks: Flask, FastAPI, Streamlit, Gradio DevOps: Docker, Git, CI/CD workflows, Kubernetes, Terraform

About the Role: We are seeking a highly motivated and technically proficient AI Agent Development Engineer to join our advanced AI team. In this role, you will design, build, and deploy intelligent, autonomous AI agents that leverage Generative AI, Reinforcement Learning, Retrieval-Augmented Generation (RAG), and Agentic AI principles to perform complex, dynamic tasks across diverse domains. You will work at the forefront of AI agent architecture , integrating reasoning, memory, tool usage, and multi-step decision-making capabilities using state-of-the-art libraries and frameworks. Key Responsibilities: Design, develop, and deploy autonomous AI agents for real-world task automation, decision-making, and orchestration. Integrate and fine-tune LLMs (Large Language Models) for goal-oriented, tool-using agents. Implement memory-augmented reasoning, Retrieval-Augmented Generation (RAG) pipelines, and multi-agent coordination . Apply Agentic AI approaches to enable adaptive decision-making, dynamic planning, and autonomous tool usage. Work with vector databases to store and retrieve contextual memory and knowledge. Optimize agent performance using Reinforcement Learning frameworks and human feedback. Collaborate with cross-functional teams to integrate AI agents into applications and services. Monitor, test, and maintain AI pipelines in production environments. Required Skills & Experience: Strong programming skills in Python (C# or R is a plus). Proven experience in building and deploying AI agents or LLM-based applications . Hands-on expertise in: AI Agent Frameworks: LangChain, AutoGPT, BabyAGI, CrewAI, AgentGPT Agentic AI Concepts: reasoning loops, dynamic tool selection, adaptive workflows LLMs & Generative AI: OpenAI (GPT-3.5/4), Hugging Face Transformers, Anthropic Claude, Cohere RAG & Vector Search: Pinecone, FAISS, ChromaDB, Weaviate for context-aware generation Reinforcement Learning: OpenAI Gym, Stable-Baselines3, Ray RLlib NLP & Language Tools: spaCy, NLTK, TextBlob Modeling & Deployment: TensorFlow, PyTorch, Keras, Scikit-learn, MLflow APIs & UI Frameworks: Flask, FastAPI, Streamlit, Gradio DevOps: Docker, Git, CI/CD workflows, Kubernetes, Terraform

As a Generative AI Architect at Techvantage.ai, your primary responsibility will be to design and lead end-to-end solutions incorporating Large Language Models (LLMs), diffusion models, transformers, and multimodal AI across various enterprise and consumer use cases. You will play a crucial role in developing robust and scalable architectures for prompt engineering, model orchestration, embedding pipelines, vector databases, and fine-tuning/instruction tuning. Your expertise will be essential in evaluating and integrating both open-source and proprietary models based on specific business requirements. In this strategic and high-impact role, you will be expected to collaborate closely with product managers, data scientists, engineers, and clients to design and implement cutting-edge GenAI-powered applications aligned with business objectives. Ethical considerations such as data privacy, model safety, and bias mitigation will be integral parts of your responsibilities. Moreover, your contribution to internal GenAI accelerators, reusable frameworks, and innovation strategies will be crucial to the continuous growth and development of the organization. To excel in this position, you should possess a minimum of 10 years of experience in technology roles, specifically in AI/ML architecture, data engineering, or solution architecture, with at least 3 years dedicated to designing and deploying Generative AI solutions. Deep knowledge of transformer architectures, LLMs, diffusion models, and related frameworks is essential, as well as proficiency in Python, Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP. Strong communication and stakeholder management skills will also be key in effectively conveying complex AI concepts to non-technical audiences. While not a mandatory requirement, experience deploying GenAI systems in BFSI, healthcare, e-commerce, or enterprise SaaS platforms, familiarity with agentic AI systems, autoML, RLHF, or autonomous agents, and knowledge of data governance, compliance, and responsible AI frameworks will be advantageous. Additionally, contributions to open-source AI projects or publications in the AI/ML domain would be considered a strong plus. A Master's or PhD in Computer Science, AI/ML, Data Science, or related field is preferred. Join us at Techvantage.ai and lead innovation at the forefront of Generative AI and intelligent systems. You will have the opportunity to work with a highly talented team, leverage state-of-the-art tools and models, and receive generous compensation that reflects your expertise and contributions.,

About Us Ushur delivers the worlds first Customer Experience Automation platform built specifically for regulated industries. Purpose-built for delivering ideal self-service, Ushur infuses intelligence into digital experiences for the most delightful and impactful customer engagements. Equipped with guardrails and compliance-ready infrastructure, Ushur powers vertical AI Agents for healthcare, financial services and insurance use cases. Designed for rapid code-less deployment with flexible, advanced capabilities for IT and business teams, enterprises can transform customer and employee journeys at scale in the fastest time to value. About About Ushur I Ushur XOS l Ushur GenA I Title: Senior Data Scientist Experience: 4-6 Years Location: Bangalore Work Mode: Hybrid About The Role Were looking for a Senior Data Scientist to join our team building innovative applications powered by modern AI technologies. Youll work on developing smart, user-facing features, integrating AI into real-world systems, and contributing to scalable, high-quality software. This is a great opportunity to grow your skills while working on impactful, forward-looking projects. Responsibilities Build next-generation AI-powered applications using large language models (LLMs), agentic frameworks, and modern ML infrastructure. Develop and integrate intelligent agents into enterprise production systems, enabling features like multi-turn conversations, code understanding, and task automation. Implement scalable retrieval and generation pipelines using techniques like RAG (retrieval-augmented generation), vector search, and prompt engineering. Collaborate with cross-functional teamsincluding product, research, and platform engineeringto bring AI features from prototype to production. Write high-quality, maintainable code (primarily in Python) and contribute to system design discussions. Stay up to date with the latest developments in the LLM/AI ecosystem and help evaluate tools, models, and frameworks for real-world use. Participate in code reviews, share knowledge with peers, and continuously improve engineering practices. Qualifications 46 years of experience in software engineering, with at least 2 years focused on machine learning or AI-based applications. Familiarity with and enthusiasm for using AI tools to enhance efficiency and innovation. Solid coding and debugging skills in Python, along with strong fundamentals in data structures, algorithms, and system design. Experience working with large language models (e.g., OpenAI, Claude, Mistral), vector databases (e.g., FAISS, Weaviate), and ML toolkits. Familiarity with techniques like fine-tuning, embeddings, RAG pipelines, or multi-agent systems (bonus if you&aposve built or deployed any). Comfortable working in a fast-paced environment with evolving tools and models. A strong sense of ownership, curiosity, and willingness to grow into deeper AI/ML expertise over time. Nice-to-haves M.S in Computational linguistics, Applied Math or other CS related disciplines Strong publication record around NLP/RL/ML at forums like NeurIPS, ICML, ICLR, EMNLP etc Exposure to MLOps platforms (MLFlow, DVC etc) and Big Data ecosystem. Why Join Us Thriving Company Culture: At Ushur, we foster a values-driven culture that prioritizes respect, inclusion, and collaboration. We empower every individual to thrive, contribute innovative ideas, and make a meaningful impact in a supportive and dynamic environment. Bring Your Whole Self to Work: We celebrate diversity and believe that innovative ideas thrive in an inclusive environment where every team member is valued. As a dynamic start-up, we recognize that every individual makes a significant impact. Rest and Recharge: We encourage work-life balance with 20 days of flexible paid time off annually. Your well-being matters, and we make space for it. Comprehensive Health Benefits: Your health is a priority. We provide preventive health check-ups, medical insurance coverage for employees and their dependents, wellness sessions, and expert-led health talks at the office. Invest in Your Future: We offer competitive compensation and stock options to give you a stake in Ushurs success. Youll grow with us while contributing meaningfully to our journey. Embrace Growth: Growth Mindset is one of our core values we believe in lifelong learning. Employees are encouraged to explore certification courses and professional development, with reimbursement opportunities. Youll also have access to the Ushur Communitys vast learning resources. Flexible Work Options: We recognize the need for flexibility. Depending on your role and location, we offer an in-office or hybrid work model that supports both collaboration and personal well-being. Show more Show less

Design and build smart automation workflows using n8n, Zapier, and Make.com. Integrate APIs and connect third-party apps to streamline business processes. Utilize LLMs (e.g., OpenAI, Cohere) for tasks like summarization, data extraction, and decision logic. Create RAG pipelines utilizing vector databases such as Pinecone, ChromaDB, or Weaviate. Develop and test autonomous agents using LangChain, AutoGen, or similar frameworks. Write clean, modular code in Python or JavaScript to support custom workflow logic. Prototype ideas quickly and deploy real features used in production environments. Document workflows thoroughly and collaborate with developers, consultants, and product teams. Key Skills: Final-year students in Computer Science, AI/ML, Data Science, Information Systems, or related fields, who are willing to work full time after the internship. Curiosity & Initiative are essential you enjoy experimenting with new tools/technologies and are unafraid to break things to learn. Possess Basic to Intermediate Coding Skills and are comfortable with writing Python or JavaScript/TypeScript. Able to read API docs and write modular code. Familiarity (or willingness to learn) with Workflow Platforms such as n8n, Zapier, Make.com, or similar; if you haven't used n8n yet, assistance will be provided for onboarding. Knowledge of APIs, including understanding of RESTful APIs, JSON, and authentication mechanisms. Interest in AI/LLMs familiarity with LLMs basics or eagerness to dive into prompt engineering, embeddings, and RAG concepts. Problem-Solving Mindset ability to break down complex tasks into smaller steps, map flows, and anticipate edge cases. Strong Communication & Documentation skills capable of explaining workflows, documenting steps, and writing clean README/instructions. A Team Player open to feedback, collaboration in agile/scrum-like setups, and assisting peers in troubleshooting.,

Senior AI Engineer ???? Mumbai | Hybrid About Quantanite Were a global CX and digital solutions partner that blends cutting-edge AI with the human touch. Headquartered in London and operating across 4 continents, our 2,000+ people help some of the worlds fastest-growing brands scale smarter, work faster, and deliver better serviceevery time. Were not your typical outsourcing company. At Quantanite, great service is built on two things: smart tech and smarter people. From proprietary AI platforms like MBIUS to our collaborative, people-first culture, we equip our teams with the freedom and tools to build game-changing solutions. If youre looking for a place where your AI engineering skills can shape real enterprise impact (not just POCs), youll feel at home here. The Role As a Senior AI Engineer , youll own the full lifecycle of AI solutionsfrom design to production. Youll be hands-on with multi-agent workflows, advanced knowledge retrieval, and LLM optimization to solve enterprise-scale problems. Expect to lead projects such as AI Copilots, Enterprise Search Systems, Summarization Engines, and Intelligent Automation Tools building robust, scalable solutions that move beyond prototypes into production. Youll also play a key role in mentoring junior engineers, setting engineering standards, and collaborating cross-functionally to ensure delivery at scale. What Youll Do Build and deploy agentic systems and multi-agent workflows using LangChain, LlamaIndex, OpenAI SDK (and beyond). Design RAG pipelines with vector DBs like FAISS, Pinecone, Weaviate, or Qdrant. Fine-tune and optimize LLMs (GPT-4, Claude, LLaMA, Mistral, Gemini) with LoRA/QLoRA, quantization, and other techniques. Implement guardrails, safe API usage, and PII protection for secure deployments. Monitor/evaluate agent performance with LangSmith, AgentOps , and similar tools. Ship real-world enterprise AI use casesCopilots, orchestration engines, intelligent search, and more. Mentor and review the work of junior AI engineers, spreading best practices. Work with product, data, and DevOps teams to bring AI solutions into production at scale. What Youll Bring Solid grounding in LLMs and GenAI (fine-tuning, prompt engineering, practical deployment). Proven track record with RAG pipelines and vector databases. Hands-on with agent frameworks (LangChain, LlamaIndex, etc.) and orchestration. Experience deploying/scaling models on clouds (AWS, Azure, HuggingFace). Strong coding ability in Python or similar. Familiarity with LLM Ops : monitoring, evaluation, cost optimisation. Delivered enterprise-grade AI solutions (not just demos). Experience mentoring engineers and building technical excellence in a team. Bonus: contributed to open-source LLM projects or worked on autonomous agent use cases (research copilots, orchestration systems). Qualifications B.Tech (required). 4.57 years of relevant experience. Strong knowledge of GenAI, agentic systems, and multi-agent architectures. Attributes: clear communicator, strong leader, highly tech-savvy. Preferred: exposure to BPO/KPO environments or systems experience in enterprise AI/agentic tools. Why Quantanite ???? Hybrid work model. ???? Ongoing training, mentorship & career growth. ???? Inclusive, people-first culture. ???? Health insurance & provident fund. Quantanite is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all. ???? Ready to push agentic AI beyond theory into enterprise-scale impact Lets build the future together. Apply today to discover how we can build better, together. Show more Show less

Location: Bengaluru, India (On-site) We are seeking a talented and versatile Full Stack Developer to join our Generative AI team. In this role, you will work at the intersection of AI innovation and modern web development, building intelligent, scalable applications that leverage cutting-edge AI models and frameworks. Youll collaborate closely with AI engineers, product managers, and UX designers to bring GenAI-powered products from concept to production. Responsibilities Design, develop, and maintain full-stack web applications integrating Generative AI models (e.g., OpenAI, Hugging Face, Azure OpenAI, etc.) Build robust APIs and backend systems to support AI workflows (prompt chaining, orchestration, embeddings, etc.) Develop modern front-end interfaces using frameworks like React, Next.js, or Angular Work closely with AI and ML teams to embed LLMs, vector databases, and model APIs into production-grade systems Ensure applications are secure, scalable, and performant Contribute to prompt engineering, agent orchestration logic, and AI user interaction design Collaborate with cross-functional teams in agile sprints Write unit and integration tests to ensure code quality Participate in code reviews, design sessions, and architectural discussions Requirements 3+ years of experience in full stack development (Node.js, Python, or .NET backend preferred) Strong experience with front-end frameworks: React, Vue.js, or Angular Solid understanding of RESTful APIs, GraphQL, and backend design principles Familiarity with LLMs, transformers, prompt engineering, and vector databases (e.g., Pinecone, Weaviate, FAISS) Experience with cloud platforms (Azure, AWS, or GCP) and containerization (Docker, Kubernetes) Ability to work with both SQL and NoSQL databases Exposure to AI/ML libraries like OpenAI API, LangChain, Hugging Face, or Azure OpenAI Excellent problem-solving, collaboration, and communication skills Good to Have Experience with LLMOps and AI application lifecycle management Hands-on experience with agent-based AI frameworks (e.g., AutoGPT, LangGraph) Experience integrating authentication, logging, monitoring, and analytics tools Knowledge of CI/CD pipelines, GitHub Actions, or Azure DevOps Skills: nodejs,reactjs,nextjs,genai,azure,design,stack,databases,prompt,angular,code,ml,models,orchestration Show more Show less

ABOUT US While the world races to automate the future, were focused on preparing the generation that will lead it. At ADIIVA, we believe the most powerful time to shape a childs mind is early on, when curiosity is boundless and values are just beginning to form. We offer parents a way to nurture critical thinking, resilience and independence from the very start. Founded by Kalika Vajpayee, committed to rethinking early learning, ADIIVA is a lean, high-impact startup working at the intersection of two major technological innovations - LLMs and Robotics. With our first office in Bangalore, we are looking to hire an AI Engineering Lead that will help us build a revolutionary product that transforms how children learn. ABOUT THE ROLE Working closely with the founder, you will define and build the technical foundation of the company from the ground up, influencing every aspect of architecture, tooling and product direction. This role offers unparalleled autonomy, significant equity and the chance to co-create a category-defining AI device for children in a 0?1 environment. This is a full time opportunity based in Bengaluru (on-site). WHAT YOU WILL DO Design the system architecture , covering cloud services, databases, and DevOps workflows Design data architectures specifically optimized for AI agent operations and large language model integration Fine-tune and optimize large language models (LLMs) for child-safe interactions Train LLMs on proprietary multimodal datasets, including voice/text transcripts, behavioral cues and developmental content Evaluate open-source and proprietary models for performance, safety and scale, across cloud and edge environments Prototype and iterate on multi-step conversational behaviors, memory and alignment strategies Implement trustworthy AI practices , including hallucination mitigation, toxicity filtering and age-appropriate guardrails Design systems with data security/ privacy by design , ensuring compliance with regulations Build production-grade ML pipelines with MLOps best practices : CI/CD, monitoring, versioning and feedback loops Collaborate cross-functionally with product, child development experts and design teams Manage and mentor a team of 2-3 engineers WHAT WE LOOK FOR Bachelors degree in Computer Science, or an equivalent discipline Ability to work independently in a fast-paced, ambiguous early-stage environment Growth mindset, strong communication skills and a collaborative spirit 5+ years of experience in AI/ML/NLP , with 1+ years focused on LLMs Proven track record of fine-tuning, training and optimizing LLMs Deep understanding of transformer architectures, attention mechanisms and generative models Strong Python skills with experience in PyTorch, Hugging Face, TensorFlow, Weights & Biases Familiarity with LLM orchestration frameworks ( LangGraph, LangChain, or Haystack ) Experience with cloud platforms (AWS, GCP , or Azure) and their AI/ML services Understanding of privacy-preserving techniques (differential privacy, PII redaction) Exposure to alignment techniques ( RLHF, prompt tuning ) and safety filters Comfort with MLOps tooling, containerization ( Docker ) and orchestration ( Kubernetes, Airflow) Knowledge of RAG and vector databases (e.g., FAISS, Weaviate) Ability to explain complex AI concepts to non-technical stakeholders Passion for building safe, magical AI experiences for children and families BONUS POINTS FOR Experience building conversational agents, interactive storytelling tools or child-facing applications Familiarity with speech-to-text, voice synthesis , or multimodal learning Understanding of regulatory frameworks such as COPPA, GDPR, and responsible AI principles WHY JOIN US Define the future of child-safe AI from day one Join at ground zero and influence every aspect of the product and technical stack Collaborate with a small, passionate, and visionary team Opportunity for ownership, and long-term impact Show more Show less

You are a skilled Python Developer with expertise in Machine learning and deep learning frameworks. Your primary responsibility will be to handle the entire prompt life cycle, including prompt design, template creation, tuning, and optimization for various GenAI base models. You will design and develop prompts tailored to project requirements and manage stakeholders across business and domains as needed for projects. Your tasks will include evaluating base models, benchmarking performance, implementing prompt guardrails to prevent attacks, developing, deploying, and maintaining auto prompt solutions, and setting minimum design standards for every use case involving prompt engineering. You will also be responsible for training machine learning and deep learning models. As a Python Developer, you will write reusable, testable, and efficient code using Python, design and implement low-latency, high-availability, and performant applications, implement security and data protection measures, integrate data storage solutions and API Gateways, and handle production change deployment and related support. Location: Chennai/Bangalore/Hyderabad Working hours: General Shift Key Skills: Gen AI, LLM, RAG, Lang chain, Mistral, Llama, Vector DB, Azure/GCP/Lambda, Python, Tensorflow, Pytorch, GPT-4, NumPy, Pandas, Keras, Databricks, Pinecone/Chroma/Weaviate, Scale/Labelbox Please note that the job description provided is based on the information available and may be subject to change.,

Senior Manager - Senior Data Scientist (NLP & Generative AI) Location: PAN India / Remote Employment Type: Full-time About the Role We are seeking a highly experienced Senior data scientist with 8+ years of expertise in machine learning, focusing on NLP, Generative AI, and advanced LLM ecosystems. This role demands leadership in designing and deploying scalable AI systems leveraging the latest advancements such as Google ADK, Agent Engine, and Gemini LLM. You will spearhead building real-time inference pipelines and agentic AI solutions that power complex, multi-user applications with cutting-edge technology. Key Responsibilities Lead the architecture, development, and deployment of scalable machine learning and AI systems centered on real-time LLM inference for concurrent users. Design, implement, and manage agentic AI frameworks leveraging Google Adk, Langgraph or custom-built agents. Integrate foundation models (GPT, LLaMA, Claude, Gemini) and fine-tune them for domain-specific intelligent applications. Build robust MLOps pipelines for end-to-end lifecycle management of models-training, testing, deployment, and monitoring. Collaborate with DevOps teams to deploy scalable serving infrastructures using containerization (Docker), orchestration (Kubernetes), and cloud platforms. Drive innovation by adopting new AI capabilities and tools, such as Google Gemini, to enhance AI model performance and interaction quality. Partner cross-functionally to understand traffic patterns and design AI systems that handle real-world scale and complexity. Required Skills & Qualifications Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related fields. 7+ years in ML engineering, applied AI, or senior data scientist roles. Strong programming expertise in Python and frameworks including PyTorch, TensorFlow, Hugging Face Transformers. Deep experience with NLP, Transformer models, and generative AI techniques. Practical knowledge of LLM inference scaling with tools like vLLM, Groq, Triton Inference Server, and Google ADK. Hands-on experience deploying AI models to concurrent users with high throughput and low latency. Skilled in cloud environments (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG). Experience with agentic AI using Adk, LangChain, Langgraph and Agent Engine Preferred Qualifications Experience with Google Gemini and other advanced LLM innovations. Contributions to open-source AI/ML projects or participation in applied AI research. Knowledge of hardware acceleration and GPU/TPU-based inference optimization. Exposure to event-driven architectures or streaming pipelines (Kafka, Redis).