19 Vector Dbs Jobs

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Manager Job Description & Summary At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in internal audit at PwC help build, optimise and deliver end-to-end internal audit services to clients in all industries. This includes IA function setup and transformation, co-sourcing, outsourcing and managed services, using AI and other risk technology and delivery models. IA capabilities are combined with other industry and technical expertise, in areas like cyber, forensics and compliance, to address the full spectrum of risks. This helps organisations to harness the power of IA to help the organisation protect value and navigate disruption, and obtain confidence to take risks to power growth. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary We are seeking an experienced and dynamic Lead Developer with a strong background in Machine Learning (ML), Artificial Intelligence (AI) and Generative AI to join our team. The ideal candidate will have 9-12 years of hands-on experience in analyzing data, building advanced analytics models, and leveraging cutting-edge AI and Generative AI technologies to derive actionable insights. This role requires a combination of deep technical expertise, strong analytical capabilities, and a proven ability to work in a collaborative and innovative environment. Responsibilities: Architecture Design: Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development And Deployment: Fine-tune pre-trained generative models for domain-specific use cases. Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation And Strategy: Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. Good exposure to Agentic Design patterns Collaboration And Leadership: Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. Mentor and guide team members on AI/ML best practices and architectural decisions. Should be able to lead a team of data scientists, GenAI engineers and Software Developers Performance Optimization: Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical And Responsible AI: Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Mandatory Skill Set: Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Should have strong knowledge on LLMs foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Models like Llama 3.2, Phi etc. Proven track record with event-driven architectures and real-time data processing systems. Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. Knowledge of containerization technologies such as Kubernetes and Docker. Comprehensive understanding of data lakes and strategies for data management. Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. Proficiency in cloud computing platforms such as Azure or AWS. Exceptional leadership, problem-solving, and analytical abilities. Superior communication and collaboration skills, with experience managing high-performing teams. Ability to operate effectively in a dynamic, fast-paced environment. Preferred Skill Set: Experience with additional technologies such as Datadog, and Splunk. Programming languages like C#, R, Scala Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Year Of Experience Required: 9-12 years Education Qualification BE / B.Tech / MCA / M.Sc / M.E / M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering Degrees/Field Of Study Preferred: Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Analytical Thinking, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Coaching and Feedback, Communication, Compliance Auditing, Corporate Governance, Creativity, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Financial Accounting + 29 more Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship No Government Clearance Required No Job Posting End Date Show more Show less

We are looking for a Director of Engineering (AI Systems & Secure Platforms) to join our client&aposs Core Engineering team at Thane (Maharashtra - India). The ideal candidate should have 12-15+ years of experience in architecting and deploying AI systems at scale, with deep expertise in agentic AI workflows, LLMs, RAG, Computer Vision, and secure mobile/wearable platforms. Top 3 Daily Tasks: Architect, optimize, and deploy LLMs, RAG pipelines, and Computer Vision models for smart glasses and other edge devices. Design and orchestrate agentic AI workflowsenabling autonomous agents with planning, tool usage, error handling, and closed feedback loops. Collaborate across AI, Firmware, Security, Mobile, Product, and Design teams to embed "invisible intelligence" within secure wearable systems. Must have 12-15+ years of experience in Applied AI, Deep Learning, Edge AI deployment, Secure Mobile Systems, and Agentic AI Architecture. Must have: Programming languages: Python C/C++ Java Kotlin JavaScript/Node.js Swift Objective-C CUDA Shell scripting Expert in: TensorFlow PyTorch ONNX HuggingFace model optimization with TensorRT TFLite Deep experience with: LLMs RAG pipelines vector DBs (FAISS, Milvus) Proficient in agentic AI workflowsmulti-agent orchestration, planning, feedback loops Strong in privacy-preserving AI (federated learning, differential privacy) Secure real-time comms (WebRTC, SIP, RTP) Nice to have: Experience with MCP or similar protocol frameworks Background in wearables/XR or smart glass AI platforms Expertise in platform security architectures (sandboxing, auditability) Show more Show less

You will be part of a team that is developing an enterprise-grade, AI-powered agentic platform for the recruitment industry. Your role as a technical Co-Founder (CTO) will involve leading the development journey and defining the technical vision and architecture of the product from the ground up. Your responsibilities will include: - Defining and executing the technology strategy, roadmap, architecture, and infrastructure for a scalable, secure, and high-performing platform. - Leading hands-on development of the core platform, including AI agent integration, workflow automation, and data interaction layers. - Architecting and implementing LLM-based agentic features using tools like LangChain, OpenAI APIs, RAG pipelines, and vector databases. - Hiring, managing, and mentoring a high-performing engineering team across frontend, backend, ML, and DevOps. - Designing systems to handle large datasets, including data pipelines, analytics, and secure storage solutions. - Overseeing CI/CD pipelines, cloud infrastructure, monitoring, and cost-optimized deployments using AWS/GCP/Azure. The ideal candidate will have: - Proven experience in building and scaling enterprise-level web or mobile apps, preferably from 0 to 1. - Strong skills in Python/Django or Node.js, and modern JS frameworks such as React or Vue. - Deep experience with LLM integration, AI frameworks like LangChain and LlamaIndex, and vector databases like Pinecone and FAISS. - Solid understanding of database architecture, distributed systems, and API-first product development. - Past experience in leading or managing engineering teams. - Experience working in or co-founding an early-stage startup (preferred but not mandatory). Nice to have qualifications include: - Experience with multi-agent orchestration platforms like AutoGen, CrewAI, or AutoGPT. - Exposure to SaaS security, compliance, and data governance. - Knowledge of MLOps and deployment of AI models in production.,

We are looking for a Director of Engineering (AI Systems & Secure Platforms) to join our client&aposs Core Engineering team at Thane (Maharashtra India). The ideal candidate should have 1215+ years of experience in architecting and deploying AI systems at scale, with deep expertise in agentic AI workflows, LLMs, RAG, Computer Vision, and secure mobile/wearable platforms. 1. Top 3 Daily Tasks: - Architect, optimize, and deploy LLMs, RAG pipelines, and Computer Vision models for smart glasses and other edge devices. - Design and orchestrate agentic AI workflowsenabling autonomous agents with planning, tool usage, error handling, and closed feedback loops. - Collaborate across AI, Firmware, Security, Mobile, Product, and Design teams to embed invisible intelligence within secure wearable systems. 2. Must have: - Must have 1215+ years of experience in Applied AI, Deep Learning, Edge AI deployment, Secure Mobile Systems, and Agentic AI Architecture. Programming languages: Python C/C++ Java Kotlin JavaScript/Node.js Swift Objective-C CUDA Shell scripting - Expert in: TensorFlow PyTorch ONNX HuggingFace model optimization with TensorRT TFLite - Deep experience with: LLMs RAG pipelines vector DBs (FAISS, Milvus) - Proficient in agentic AI workflowsmulti-agent orchestration, planning, feedback loops - Strong in privacy-preserving AI (federated learning, differential privacy) - Secure real-time comms (WebRTC, SIP, RTP) 3. Nice to have: - Experience with MCP or similar protocol frameworks - Background in wearables/XR or smart glass AI platforms - Expertise in platform security architectures (sandboxing, auditability) Show more Show less

We are looking for a Director of Engineering (AI Systems & Secure Platforms) to join our client&aposs Core Engineering team at Thane (Maharashtra India). The ideal candidate should have 1215+ years of experience in architecting and deploying AI systems at scale, with deep expertise in agentic AI workflows, LLMs, RAG, Computer Vision, and secure mobile/wearable platforms. Top 3 Daily Tasks: ? Architect, optimize, and deploy LLMs, RAG pipelines, and Computer Vision models for smart glasses and other edge devices. ? Design and orchestrate agentic AI workflowsenabling autonomous agents with planning, tool usage, error handling, and closed feedback loops. ? Collaborate across AI, Firmware, Security, Mobile, Product, and Design teams to embed invisible intelligence within secure wearable systems. Must have 1215+ years of experience in Applied AI, Deep Learning, Edge AI deployment, Secure Mobile Systems, and Agentic AI Architecture. Must have: -Programming languages: Python, C/C++, Java (Android), Kotlin, JavaScript/Node.js, Swift, Objective-C, CUDA, Shell scripting -Expert in TensorFlow, PyTorch, ONNX, HuggingFace; model optimization with TensorRT, TFLite -Deep experience with LLMs, RAG pipelines, vector DBs (FAISS, Milvus) -Proficient in agentic AI workflowsmulti-agent orchestration, planning, feedback loops -Strong in privacy-preserving AI (federated learning, differential privacy) -Secure real-time comms (WebRTC, SIP, RTP) Nice to have: -Experience with MCP or similar protocol frameworks -Background in wearables/XR or smart glass AI platforms -Expertise in platform security architectures (sandboxing, auditability) Industry Technology, Information and Internet Employment Type Full-time Show more Show less

Ccube is a fast-growing technology company dedicated to transforming how businesses harness the power of Apps, Data, and AI. We help organizations thrive by delivering integrated solutions across various sectors. We are currently seeking a dynamic individual to join our team as a "GenAI Pre-Sales Consultant" based in Indore (Hybrid), on a Full-Time basis in the AI/Tech domain. As a GenAI Pre-Sales Consultant, you will play a crucial role in leading sales for Generative AI solutions, which includes LLMs, RAG, vector DBs, and AI agents. Your main responsibilities will include prospecting, pitching, and closing AI deals, leading client discovery sessions and product demos, translating GenAI technology into ROI for clients, collaborating with technical teams, and managing your sales pipeline efficiently using tools like HubSpot/Salesforce. The ideal candidate should possess at least 6+ years of experience in B2B tech sales or consulting, have a strong understanding of LLMs, RAG, vector DBs (e.g., Pinecone), be an excellent communicator with a blend of technical and business acumen, be well-versed in CRM tools, self-motivated, and prioritize client satisfaction. Previous experience in selling AI/ML platforms or working in industries like fintech, healthcare, or retail would be a bonus. At Ccube, we offer an environment where you can build the future by being part of a mission-driven company that is shaping the next generation of AI and digital solutions. You will collaborate with talented individuals who value transparency, experimentation, and integrity, while also benefiting from career mobility, competitive compensation including base salary, commission, and stock options, opportunities for professional growth through annual stipends for certifications, courses, and industry events. If you are ready to help companies unlock the power of technology and contribute to building something extraordinary in the process, we encourage you to reach out to us at "rahul@ccube.com" for more details. Join us at Ccube and be part of a collaborative culture that nurtures talent, innovation, and success. Powered by JazzHR,

We are seeking a talented Systems Architect (AVP level) with specialized knowledge in designing and expanding Generative AI solutions for production environments. In this pivotal position, you will collaborate across various teams including data scientists, ML engineers, and product leaders to mold enterprise-level GenAI platforms. Your responsibilities will include designing and scaling LLM-based systems such as chatbots, copilots, RAG, and multi-modal AI, architecting data pipelines, training/inference workflows, and integrating MLOps. You will be tasked with ensuring that systems are modular, secure, scalable, and cost-effective. Additionally, you will work on model orchestration, agentic AI, vector DBs, and CI/CD for AI. The ideal candidate should possess 12-15 years of experience in cloud-native and distributed systems, with 2-3 years focusing on GenAI/LLMs utilizing tools like LangChain, HuggingFace, and Kubeflow. Proficiency in cloud platforms such as AWS, GCP, or Azure (SageMaker, Vertex AI, Azure ML) is essential. Experience with RAG, semantic search, agent orchestration, and MLOps is highly valued. Strong architectural acumen, effective stakeholder communication skills, and preferred certifications in cloud technologies, AI open-source contributions, and knowledge of security and governance are all advantageous.,

At PwC, our team focused on data and analytics applies data to drive insights and guide strategic business decisions. Utilizing advanced analytics techniques, we assist clients in optimizing operations and achieving their goals. As a member of our data analysis team, you will specialize in leveraging sophisticated analytical methods to extract valuable insights from extensive datasets, enabling data-driven decision-making. Your role will involve utilizing skills in data manipulation, visualization, and statistical modeling to support clients in resolving intricate business challenges. We are seeking a visionary Generative AI Architect at the Manager level to join PwC US - Acceleration Center. In this leadership position, you will be responsible for designing and implementing cutting-edge Generative AI solutions using technologies such as Azure OpenAI Service, GPT models, and multi-agent frameworks. Your role will involve driving innovation through scalable cloud architectures, optimizing AI infrastructure, and leading cross-functional teams in deploying transformative AI solutions. The ideal candidate will possess deep expertise in Generative AI technologies, data engineering, Agentic AI, and cloud platforms like Microsoft Azure, with a strong emphasis on operational excellence and ethical AI practices. Responsibilities: - **Architecture Design:** Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms and lead the development of AI agents capable of orchestrating multi-step tasks. - **Model Development And Deployment:** Fine-tune pre-trained generative models, develop data collection and preparation strategies, and deploy appropriate Generative AI frameworks. - **Innovation And Strategy:** Stay updated on the latest Generative AI advancements, recommend innovative applications, and define and execute AI strategy roadmaps. - **Collaboration And Leadership:** Collaborate with cross-functional teams, mentor team members, and lead a team of data scientists, GenAI engineers, devops, and software developers. - **Performance Optimization:** Monitor and optimize the performance of AI models, agents, and systems to ensure robustness and accuracy, as well as optimize computational costs and infrastructure utilization. - **Ethical And Responsible AI:** Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks, and implement safeguards against bias and misuse. Requirements: - Bachelors or masters degree in computer science, Data Science, or related field. - 8+ years of relevant technical/technology experience, with expertise in GenAI projects. - Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. - Experience with GenAI foundational models and open-source models. - Proficiency in system design for Agentic architecture and real-time data processing systems. - Familiarity with cloud computing platforms and containerization technologies. - Strong leadership, problem-solving, and analytical abilities. - Excellent communication and collaboration skills. Nice To Have Skills: - Experience with technologies like Datadog and Splunk. - Familiarity with emerging Model Context Protocols and dynamic tool integration. - Relevant solution architecture certificates and continuous professional development in data engineering and GenAI. Professional And Educational Background: BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA/ Any Degree.,

We are looking for a Systems Architect (AVP level) with extensive experience in designing and scaling Generative AI solutions for production. As a Systems Architect, you will play a crucial role in collaborating with data scientists, ML engineers, and product leaders to shape enterprise-grade GenAI platforms. Your responsibilities will include designing and scaling LLM-based systems such as chatbots, copilots, RAG, and multi-modal AI. You will also be responsible for architecting data pipelines, training/inference workflows, and MLOps integration. It is essential to ensure that the systems you design are modular, secure, scalable, and cost-effective. Additionally, you will work on model orchestration, agentic AI, vector DBs, and CI/CD for AI. The ideal candidate should have 12-15 years of experience in cloud-native and distributed systems, with at least 2-3 years of experience in GenAI/LLMs using tools like LangChain, HuggingFace, and Kubeflow. Proficiency in cloud platforms such as AWS, GCP, or Azure (SageMaker, Vertex AI, Azure ML) is required. Experience with technologies like RAG, semantic search, agent orchestration, and MLOps will be beneficial for this role. Strong architectural thinking and effective communication with stakeholders are essential skills. Preferred qualifications include cloud certifications, AI open-source contributions, and knowledge of security and governance principles. If you are passionate about designing cutting-edge Generative AI solutions and possess the necessary skills and experience, we encourage you to apply for this leadership role.,

Responsibilities: * Design, develop, test & maintain Power Automated solutions using Python, FastAPI & Azure DevOps,Langchain,OOPS. * Collaborate with cross-functional teams on project delivery within Vector DBs.

As a Technical Product Manager (TPM) at our company, you will play a crucial role in owning the end-to-end lifecycle of our AI platform and applications. Your responsibilities will include managing the product roadmap for AI-enabled applications, collaborating with engineering leads and designers, and ensuring the successful delivery of products aligned with business and technical goals. You will lead agile ceremonies such as sprint planning, backlog grooming, reviews, and retrospectives. Additionally, you will prioritize the product backlog based on value, effort, and technical feasibility, working closely with developers utilizing technologies like Python, React.js/Node.js, Vector DBs, and RDBMS. Furthermore, you will drive user research, collaborate with UI/UX teams to deliver high-impact interfaces, and partner with QA and DevOps to ensure smooth releases and performance tracking. Engaging with internal stakeholders and customers to capture feedback, validate features, and drive iteration will also be a key aspect of your role. To be successful in this position, you should hold a Bachelor's or Master's degree in Engineering, Computer Science, or a related field, along with 6+ years of overall experience, including 3+ years in a Technical Product Manager or Agile Product Owner role. Your solid understanding of modern technology stacks and proficiency in product management tools will be essential. Preferred qualifications include exposure to AI/ML-based products, familiarity with DevOps practices and API testing tools, as well as certification in Scrum, SAFe, or Agile Product Management. Experience in B2B SaaS product development will also be advantageous. Join us to work at the cutting edge of AI, UX, and scalable architecture, taking ownership of mission-critical products that are reshaping enterprise automation. You will have the opportunity to collaborate with a talented cross-functional team in a dynamic, innovation-driven culture, offering competitive salary, flexible working options, and growth opportunities.,

Mandatory Skill sets - Python, OpenAI, Vector dbs, GenAI models, Agentic AI Good to have skills - Azure Cognitive Services(Vision, Speech and language search, AI Search), Development experience in Azure, RAG development, Retrieval Solutions on Structured data, Azure Container Apps and functions, Azure Data lake, Azure Blob storage, Azure Cosmos DB , Azure SQL DB, Azure data factory, Azure Data bricks, Azure Web Apps, semantic kernel, Power BI, SharePoint, Data ingestion pipeline, APIs, React, Devops, Agile framework, LLM, SLM, Other Models, fine tuning

The ML Solutions team within Markets OPS Technology is dedicated to developing solutions using Artificial Intelligence, Machine Learning, and Generative AI. This team is a leader in creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and Other Line of Businesses. We work closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence. The ML Solutions team is seeking a Data Scientist/Machine Learning Engineer to drive the design, development, and deployment of innovative AI/ML and GenAI-based solutions. In this hands-on role, you will leverage your expertise to create a variety of AI models, guiding a team from initial concept to successful production. A key aspect involves mentoring team members and fostering their growth. You will collaborate closely with business partners and stakeholders, championing the adoption of these advanced technologies to enhance client experiences, deliver tangible value to our customers, and ensure adherence to regulatory requirements through cutting-edge technical solutions. This position offers a unique opportunity to shape the future of our AI initiatives and make a significant impact on the organization. Key Responsibilities: - Hands-On Execution and Delivery: Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks. - Mentoring Young Talents: Mentoring team, guiding data analysts/ML engineers from concept to production. This involves fostering technical growth, providing project oversight, and ensuring adherence to best practices, ultimately building a high-performing and innovative team. - Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation. - Research and Development: Participate in research activities to explore and advance state-of-the-art generative AI techniques. Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field. - Cross-Functional Collaboration: Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services. Skills & Qualifications: - 8 to 13 years of Strong hands-on experience in Machine Learning, delivering complex solutions to production. - Experience with Generative AI technologies essential. - Understanding of concepts like supervised, unsupervised, clustering, embedding. - Knowledge of NLP, Name Entity Recognition, Computer Vision, Transformers, Large Language Models. - In-depth knowledge of deep learning and Generative AI frameworks such as, Langchain, Lang Graph, Crew AI or similar. - Experience with and other open-source frameworks/ libraries/ APIs like Hugging Face Transformers, Spacy, Pandas, scikit-learn, NumPy, OpenCV. - Experience in using Machine Learning/Deep Learning: XGBoost, LightGBM, TensorFlow, PyTorch, Keras. - Proficiency in Python Software Development, following Object-Oriented design patterns and best practices. - Strong background in mathematics: linear algebra, probability, statistics, and optimization. - Experience with evaluation, scoring with a framework like ML Flow - Experience of Docker container and edited a Docker file, experience with K8s is a plus. - Experience with Postgres and Vector DBs a plus. - Excellent problem-solving skills and the ability to think creatively. - Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams - Publications and contributions to the AI research community are a plus. - Masters degree/Ph. D. or equivalent experience in Computer Science, Data Science, Statistics, or a related field. - 8-12 years of experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.,

As an AI Engineer at YASH Technologies, you will have the opportunity to utilize your 24 years of experience in the field to make a significant impact. You will be a part of a team that is dedicated to leveraging cutting-edge technologies to drive business transformation and deliver exceptional stakeholder experiences. Your primary responsibility will be to build and deploy machine learning models for classification, regression, and clustering tasks. You will also apply foundational GenAI concepts such as embeddings, summarization, and RAG, using tools like LangChain and vector databases. Additionally, you will be expected to prepare documentation and interpret results to drive actionable insights. To excel in this role, you must have strong hands-on experience in Python, Scikit-learn, and Pandas. Knowledge of model evaluation, feature engineering, and model tuning is essential, along with exposure to LangChain and vector databases. Basic familiarity with FastAPI or Flask is also preferred. At YASH, we believe in empowering our employees to shape their careers while working in a collaborative and inclusive environment. We provide career-oriented skilling models and opportunities for continuous learning, unlearning, and relearning at a rapid pace. Our Hyperlearning workplace is guided by principles such as flexible work arrangements, open collaboration, support for business goals, and a stable employment environment with an ethical corporate culture. Join us at YASH Technologies and be a part of a team that is driving positive changes in an increasingly virtual world.,

You are an experienced OCI AI Architect who will be responsible for leading the design and deployment of Gen AI, Agentic AI, and traditional AI/ML solutions on Oracle Cloud. Your role will involve a deep understanding of Oracle Cloud Architecture, Gen AI, Agentic and AI/ML frameworks, data engineering, and OCI-native services. The ideal candidate will possess a combination of deep technical expertise in AI/ML and Gen AI over OCI along with domain knowledge in Finance and Accounting. Your key responsibilities will include designing, architecting, and deploying AI/ML and Gen AI solutions on OCI using native AI services, building agentic AI solutions using frameworks such as LangGraph, CrewAI, and AutoGen, leading the development of machine learning AI/ML pipelines, and providing technical guidance on MLOps, model versioning, deployment automation, and AI governance. You will collaborate with functional SMEs, application teams, and business stakeholders to identify AI opportunities, advocate for OCI-native capabilities, and support customer presentations and solution demos. To excel in this role, you should have 10-15 years of experience in Oracle Cloud and AI, with at least 5 years of proven experience in designing, architecting, and deploying AI/ML & Gen AI solutions over OCI AI stack. Strong Python development experience, knowledge of LLMs such as Cohere and GPT, proficiency in AI/ML/Gen AI frameworks like TensorFlow, PyTorch, Hugging Face, and hands-on experience with OCI services are required. Additionally, skills in AI governance, Agentic AI frameworks, AI architecture principles, and leadership abilities are crucial for success. Qualifications for this position include Oracle Cloud certifications such as OCI Architect Professional, OCI Generative AI Professional, OCI Data Science Professional, as well as a degree in Computer Science or MCA. Any degree or diploma in AI would be preferred. Experience with front-end programming languages, Finance domain solutions, Oracle Cloud deployment, and knowledge of Analytics and Data Science would be advantageous. If you are a highly skilled and experienced OCI AI Architect with a passion for designing cutting-edge AI solutions on Oracle Cloud, we invite you to apply and join our team for this exciting opportunity.,

YASH Technologies is looking to hire AI/ML Professionals, specifically for the role of Data Scientist with 24 years of experience on a full-time basis. As a Data Scientist at YASH, you will be part of a dynamic team, leveraging your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions. Your responsibilities will include building and deploying ML models for classification, regression, and clustering tasks, applying foundational GenAI concepts, utilizing APIs and tools like LangChain and vector databases, as well as preparing documentation and interpreting results. The ideal candidate should possess strong hands-on experience in Python, Scikit-learn, and Pandas, along with knowledge of model evaluation, feature engineering, and model tuning. Exposure to LangChain, vector databases, and basic knowledge of FastAPI or Flask will be beneficial for this role. At YASH Technologies, you will have the opportunity to create a career path that aligns with your aspirations while working in an inclusive team environment. The company focuses on continuous learning, unlearning, and relearning through career-oriented skilling models and technology-driven solutions. The workplace at YASH is grounded on principles of flexible work arrangements, emotional positivity, trust, transparency, open collaboration, support for business goals, stable employment, and an ethical corporate culture.,

You will play a key role as a GenAI Solutions & Engineering Subject Matter Expert within our GenAI Incubation Team. Your responsibilities will revolve around collaborating with clients, business stakeholders, and product teams to identify valuable use cases, design scalable Generative AI solutions, and guide them from conceptualization to Minimum Viable Product (MVP) to deployment. To excel in this role, you should possess a total of 10 years of experience in AI/ML, with at least 2 years dedicated to Generative AI solutioning. Your expertise should include the ability to create and implement GenAI applications, copilots, or agent-based systems effectively. Additionally, you should be well-versed in the LLM stack, encompassing prompting, model selection, evaluation, fine-tuning, and deployment processes. Proficiency in Python and familiarity with libraries/frameworks such as LangChain, LlamaIndex, and FastAPI are essential for this position. You should also demonstrate a strong understanding of various GenAI patterns like prompt engineering, RAG, summarization, code generation, and AI Agents among others. Hands-on experience with cloud platforms like Azure OpenAI, AWS Bedrock, GCP Vertex AI, and NVIDIA is a must. A deep comprehension of vector databases, LLM orchestration, memory management, and API integration will further solidify your qualifications. Your role will involve building AI Agents and Agentic AI solutions using industry-leading frameworks and protocols like MCP and A2A. Moreover, a good grasp of Responsible AI principles, explainability, data security, and model auditability will be valuable. Excellent communication skills and the ability to engage effectively with stakeholders are crucial attributes for success in this role. You should be comfortable operating within an agile, fast-paced, and innovative environment where ambiguity is common.,

Design and develop backend services using FastAPI, integrate AI/ML features, manage PostgreSQL and vector DBs, implement Redis caching, deploy with Docker/Kubernetes, maintain CI/CD pipelines, and ensure high performance and scalability.

What You ll Do Design & Build: Develop mutli-agent AI systems for the UCaaS platform, focusing on NLP, speech recognition, audio intelligence and LLM powered interactions. Rapid Experiments: Prototype with open-weight models (Mistral, LLaMA, Whisper, etc.) and scale what works. Code for Excellence: Write robust code for AI/ML libraries and champion software best practices. Optimize for Scale & Cost: Engineer scalable AI pipelines, focusing on latency, throughput, and cloud costs. Innovate with LLMs: Fine-tune and deploy LLMs for summarization, sentiment and intent detection, RAG pipelines, multi-modal inputs and multi-agentic task automation. Own the Stack: Lead multi-agentic environments from data to deployment and scale. Collaborate & Lead: Integrate AI with cross-functional teams and mentor junior engineers. What You Bring Experience:6-10 yearsof professional experience, with a mandatory minimum of 2 years dedicated to a hands-on role in a real-world, production-level AI/ML project. Coding & Design: Expert-level programming skills inPythonand proficiency in designing and building scalable, distributed systems. ML/AI Expertise: Deep, hands-on experience with coreML/AI libraries and frameworks, Agentic Systems, RAG pipelines Hands-on experience in usingVector DBs LLM Proficiency: Proven experience working with and fine-tuning Large Language Models (LLMs). Scalability & Optimization Mindset: Demonstrated experience in building and scaling AI services in the cloud, with a strong focus on performance tuning and cost optimization of agents specifically. Nice to Have Youve tried outagent frameworkslike LangGraph, CrewAI, or AutoGen and can explain the pros and cons of autonomous vs. orchestrated agents. Experience with MLOps tools and platforms (e.g., Kubeflow, MLflow, Sagemaker). Real-time streaming AI experience token-level generation, WebRTC integration, or live transcription systems Contributions to open-source AI/ML projects or a strong public portfolio (GitHub, Kaggle).