142 Vector Jobs - Page 3

Experience : 4 + years Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote,New Delhi,Bengaluru,Mumbai Placement Type : Full time Permanent Position Must have skills required: Python, LLM, Rag (retrieval-augmented generation), AWS Job Summary We are seeking a highly skilled and innovative AI Engineer with Full Stack capabilities to join our dynamic team. The ideal candidate will bring a strong blend of expertise in artificial intelligence, modern software engineering practices, and cloud infrastructure. You will be responsible for designing, developing, and deploying intelligent applications that are scalable, resilient, and deliver real business value. Key Responsibilities Develop and deploy end-to-end AI-powered applications leveraging full-stack development best practices. Architect and integrate AI/ML models and pipelines using tools like LangChain, Hugging Face, OpenAI, and Anthropic Claude APIs. Design and implement microservices, RESTful APIs, and backend systems with scalability and maintainability in mind. Leverage cloud platforms (AWS, Azure, GCP) for hosting, automation, and scaling services. Integrate CI/CD pipelines to ensure smooth and frequent deployment cycles. Collaborate with cross-functional teams to translate business requirements into technical solutions. Apply techniques such as content chunking, vector search, embedding models, and retrievers to build advanced AI retrieval systems. Ensure robust architecture that can withstand variable load conditions, focusing on fault tolerance and high availability. Maintain documentation and adhere to best practices in software development and AI model integration. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in AI engineering and full-stack development. Strong proficiency with AI/ML tools including LangChain, Hugging Face, OpenAI, and Claude APIs. Deep understanding of vector databases, retrievers, and modern NLP workflows. Proficient in one or more full-stack frameworks (e.g., Node.js, Django, React, Angular). Experience with Python Experience with cloud platforms (AWS, Azure, GCP) and infrastructure automation tools (e.g., Terraform, CloudFormation). Solid experience with CI/CD pipelines, GitOps, and container orchestration (e.g., Docker, Kubernetes). Proven ability to architect resilient systems and optimize performance under fluctuating workloads. Preferred Skills Knowledge of prompt engineering and LLM fine-tuning techniques. Familiarity with DevSecOps practices and AI compliance requirements. Exposure to multimodal models and real-time inference systems. Skills - Python, LLM, Rag (retrieval-augmented generation), AWS

We are looking for a highly skilled and visionary AI Architect to lead the design, development, and implementation of Generative AI solutions across AWS and Microsoft Azure environments. This role is pivotal in shaping our GenAI strategy through the creation of scalable, secure, and responsible AI systemsleveraging both agentic and non-agentic workflow designs. You will provide technical leadership in architecting AI-powered solutions that span across retrieval-augmented generation (RAG), vector search, foundation models, prompt engineering, and enterprise-grade AI governanceall within the AWS and Azure cloud ecosystems. Key Responsibilities : Architect and deliver generative AI solutions in AWS (Bedrock, SageMaker) and Azure (Azure OpenAI, Azure ML) environments. Lead the design of agentic workflows using frameworks such as AWS Agents for Bedrock or Azure orchestration tools. Build non-agentic AI pipelines using RAG (Retrieval-Augmented Generation) methodologies with vector databases (e.g., Amazon OpenSearch, Azure Cognitive Search). Design and implement prompt engineering and prompt management strategies for large language models (LLMs) in cloud services. Evaluate and integrate foundation models (e.g., GPT, Claude, Titan, Phi-2, Falcon, Mistral) via Amazon Bedrock or Azure OpenAI. Develop chunking and indexing strategies for unstructured data to support vector-based search and RAG workflows. Ensure strong AI governance and responsible AI practices, including security, explainability, auditability, and ethical usage in alignment with enterprise policies. Collaborate with data engineering and DevOps teams to ensure seamless data pipeline integration, model lifecycle management, and CI/CD automation. Guide the development of reference architectures, best practices, and reusable components for GenAI use cases across business units. Stay current with evolving GenAI capabilities in AWS and Azure ecosystems, providing technical thought leadership and strategic guidance. Required Qualifications: Bachelor's or Masters degree in Computer Science, Engineering, or a related field. 8+ years of experience in software/data architecture with 3+ years in AI/ML, including hands-on work with generative AI solutions. Proven experience designing and deploying AI workflows using: AWS: Amazon Bedrock, SageMaker, Lambda, DynamoDB, OpenSearch. Azure: Azure OpenAI, Azure ML, Azure Cognitive Services, Cognitive Search. Expertise in RAG pipeline architecture, prompt engineering, and vector database design. Familiarity with tools and frameworks for AI agent orchestration (e.g., LangChain, Semantic Kernel, AWS Agent Framework). Strong understanding of cloud security, identity management (IAM, RBAC), and compliance in enterprise environments. Proficiency in Python and hands-on experience with modern ML libraries and APIs used in AWS and Azure. Preferred Qualifications: Experience working with LLMOps tools in cloud environments (e.g., model monitoring, logging, performance tracking). Understanding of fine-tuning strategies, model evaluation, and safety/risk management of GenAI models. Familiarity with serverless architecture, containerization (ECS, AKS), and CI/CD practices in AWS/Azure. Ability to translate business problems into scalable AI solutions with measurable outcomes

Job Title: Senior AI/ML Engineer Custom LLM & RAG Implementation Location: On-site Experience: 7+ years Industry: Cross-Domain (Finance, Healthcare, Logistics, Retail, LegalTech, etc.) About the Role We are seeking a highly skilled and hands-on Senior AI/ML Engineer with strong expertise in building and deploying custom Large Language Models (LLMs) . The ideal candidate will have demonstrable experience in Retrieval-Augmented Generation (RAG) implementations, fine-tuning foundation models , and solving complex problems across domains using applied machine learning and natural language processing. This role is strategic and technical, requiring a blend of research, solution engineering, MLOps maturity, and domain adaptability. Key Responsibilities LLM Development & Deployment Design, build, and deploy customized LLM pipelines tailored to enterprise use cases. Implement end-to-end LLMOps workflows including model packaging, CI/CD, and monitoring. RAG & Fine-Tuning Implement RAG pipelines using vector databases (e.g., FAISS, Pinecone, Weaviate) and document ingestion frameworks (e.g., LangChain, Haystack). Fine-tune open-source LLMs (e.g., LLaMA, Falcon, Mistral, MPT) on proprietary datasets using frameworks like Hugging Face Transformers and PEFT/LoRA. Solution Engineering Translate business problems into ML/LLM solutions with clear problem framing and data strategy . Collaborate with product, data engineering, and domain teams to prototype and deliver scalable solutions. Cross-Functional AI Applications Apply ML/LLM solutions across multiple verticals such as legal document analysis, customer support automation, compliance, supply chain optimization, or medical NLP. Build domain-agnostic prompt engineering strategies and apply zero-shot/few-shot learning where appropriate. Leadership & Mentorship Mentor junior engineers and contribute to AI/ML best practices . Act as a thought partner in innovation and experimentation within the team and with external stakeholders. Required Skills & Qualifications Bachelors or Master’s in Computer Science, AI/ML, Data Science, or related field. 5+ years of hands-on experience in ML/NLP , with a recent focus on LLMs and foundation models. Deep knowledge of Hugging Face ecosystem , PyTorch/TensorFlow, LangChain, OpenAI APIs, and popular model libraries. Experience deploying ML models to production using FastAPI, Docker, Kubernetes , or cloud-native tools (AWS/GCP/Azure). Familiarity with vector databases , embeddings, and search frameworks. Strong understanding of model evaluation metrics , bias/fairness in ML, and responsible AI practices. Ability to work cross-functionally with business, legal, and engineering teams. Preferred Qualifications Experience with RLHF (Reinforcement Learning from Human Feedback) . Published work in open-source communities or AI research conferences. Familiarity with multi-modal AI , autoML , or agentic workflows is a plus. Prior work in regulated domains (e.g., finance, healthcare, legal). Why Join Us Work on cutting-edge AI/LLM use cases that span industries and functions. Lead mission-critical AI initiatives from ideation to deployment. Be part of a collaborative, innovation-driven team shaping the next generation of enterprise AI solutions.

The Information Security Engineer II position operates in a support role implementing security, technology and innovation in the Global Security Operations Center (GSOC) environment. The Info Security Engineer II is virtually the same as Info Security Engineer I but is a promotion path for individuals that have been in the role for 5-7 years. The centers operate 24x7x365. The GSOC is a pivotal function in the Global Security organization responsible for operation, maintenance, and monitoring of the Managed Security portfolio. This function facilitates the ingress, implementation and egress of advanced client trouble / change requests for DDoS mitigation and Threat Intelligence products as well as active monitoring/response to DDoS alerts/events. The Information Security Engineer II is expected to perform in an advanced capacity, including escalation support and on-call. Provides mentoring, training and escalation support to front line SOC personnel. Principal GSOC Duties and Responsibilities (Essential Functions) : Perform basic to moderate changes within the managed security environment Manage and resolve customer faults, service outage and impairment events Monitor, triage and response to security alerts for client security events. Investigation and resolution of impairment scenarios on Managed Security products. Mentor and train peers in the Security Operations environment Research and implement customer generated change requests for Managed Security products Generate incident cases and escalate to superordinate teams in accordance with time and severity-based SLA’s Possess exceptional customer service skills Multi-task during events Communicate effectively with managers, customers and vendors Maintain solid working relationships, including collaborative technical activities with peers Develop relationships with other teams both within and outside of Security to enhance customer experience Strong written and verbal communication skills Analytical and problem-solving skills Attention to detail with good organizational capabilities Prioritize with good time management skills Qualifications & Skills: Required (education / experience / skills / competencies) Requires Bachelor’s degree in related field plus 2 years relevant experience or equivalent combination of education and experience. Preferred 4-5 years in a Security Operations environment Demonstrated understanding of Denial-of-Service concepts and attack vectors, mitigation options Demonstrated proficiency in routing and networking skills, including the ability to: Troubleshoot BGP and BGP community strings Review and analyze packet captures Demonstrated proficiency in configuring Access control Lists Certifications In specific security technologies such as Fortinet, Arbor, Radware, Palo Alto, Cisco or Checkpoint. Security industry certifications (examples): o CISSP o CRISC o CISM o Security o CCNA o ACIA o CCNA o CEH o ITIL Foundations Advanced knowledge and skills of at least one programming language (python preferred) Mandatory Skills Managed security services experience, Firewalls like Palo Alto & Fortinet, DDos Operations, Trend Micro Deep Security IPS/IDS,SLM, Radware, DDOS, Arbor, Splunk, Zabbix, Network security and Incident Management, Certifications, such as GCIH / CISSP / CEH / CISM, Client Interfacing, Strong Analytical and Compliance skills "We are an equal opportunity employer committed to fair and ethical hiring practices. We do not charge any fees or accept any form of payment from candidates at any stage of the recruitment process. If anyone claims to offer employment opportunities in our company in exchange for money or any other benefit, please treat it as fraudulent and report it immediately."

We are seeking India's top-tier NLP Engineers to join an elite community of professionals solving complex AI challenges. If you have expertise in text analytics, large language models (LLMs), and speech processing, this is your opportunity to collaborate with industry leaders and shape the future of intelligent systems. What's in It for You Pay above market standards Flexible contract durations (212 months) Remote-first with optional onsite roles Join a high-impact community of AI innovators Responsibilities Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA) Build scalable NLP pipelines for real-time and batch processing of large-scale text data Deploy models on cloud platforms (AWS, GCP, Azure) and optimize for performance Implement CI/CD pipelines for automated training, deployment, and monitoring Integrate NLP models with search engines, recommendation systems, and retrieval-augmented generation (RAG) techniques Ensure ethical AI practices and mentor junior engineers Required Skills Expert-level Python with NLP libraries (Hugging Face, SpaCy, NLTK) Experience with transformer-based models and scalable deployment (Flask, Kubernetes, cloud services) Proficiency in model optimization, data pipelines (Spark, Dask), and vector databases Familiarity with MLOps, CI/CD (MLflow, DVC), and data privacy regulations Nice to Have Experience with multimodal AI, conversational AI (Rasa, OpenAI API), and knowledge graphs Familiarity with graph-based NLP, A/B testing, and reinforcement learning for NLP Contributions to open-source NLP projects or a strong publication record

What will your role look like Design AI solutions using both traditional ML and GenAI approaches based on problem needs Lead end-to-end implementation of ML projects including data preparation, model development, deployment, and monitoring Build GenAI-based applications using LLMs, embeddings, and multi-step reasoning frameworks (e.g., LangChain, LangGraph) Conduct research and proof-of-concepts to evaluate emerging GenAI models and techniques Guide and mentor junior engineers; review designs, architecture, and code quality Develop fine-tuned and instruction-tuned LLMs using platforms like Hugging Face, OpenAI, Cohere, etc. Build agentic AI systems involving tool use, memory, and reasoning frameworks Ensure AI models are robust, explainable, and cost-efficient in production Collaborate with stakeholders to understand business goals and translate them into technical solutions Communicate complex AI concepts to both technical and non-technical audiences. This is a strategic role where you will play a key part in shaping our AI offerings, guiding teams, and solving complex problems using both modern and established AI techniques. Why you will love this role Besides a competitive package, an open workspace full of smart and pragmatic team members, with ever-growing opportunities for professional and personal growth Be a part of a learning culture where teamwork and collaboration are encouraged, diversity is valued and excellence, compassion, openness and ownership is rewarded. We would like you to bring along Experienced AI/ML Engineer with a strong background in both traditional Machine Learning and Generative AI. Experience in classical AI/ML and 23 years in GenAI, total 10 years of experience with the ability to design, research, and build scalable AI solutions across domains. 67 years in traditional ML/DL, including regression, classification, clustering, NLP, time series forecasting, and deep learning techniques such as feedforward networks, CNNs, RNNs, LSTMs, GRUs, and attention-based models for structured, unstructured, and sequential data 23 years in Generative AI (LLMs, embeddings, RAG, fine-tuning, prompt engineering) Experience with Python, scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers Understanding of ML lifecycle: data wrangling, feature engineering, model training, evaluation, and deployment Deep experience with LLMs such as GPT, LLaMA, Mistral, Claude, or Gemini and tools like LangChain, LangGraph, and LLamaIndex Experience building agentic AI solutions (e.g., AutoGPT, ReAct, CrewAI, BabyAGI) Proficiency with vector databases (FAISS, Pinecone, Weaviate, Chroma) and embedding models (OpenAI, Cohere, BGE, etc.) Excellent communication and presentation skills Strong research mindset with the ability to quickly learn and adapt to new GenAI technologies Ability to assess trade-offs between classic and generative AI techniques and recommend the best-fit approach

At Allstate, great things happen when our people work together to protect families and their belongings from lifes uncertainties. And for more than 90 years our innovative drive has kept us a step ahead of our customers evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. We are seeking a highly skilled and versatile AI/ML Engineer to join our growing team. This role combines expertise in machine learning with semantic technologies to build intelligent systems that understand, reason, and interact with structured and unstructured data. You will work on projects involving knowledge graphs, ontologies, natural language processing, and AI model integration to power next-generation applications. About the Role Were on the hunt for a dynamic Full Stack AI Engineer to join our growing team and help build the next generation of AI-powered applications. This role blends deep technical expertise in full-stack development with hands-on experience in Generative AI, enabling you to create intelligent, scalable, and user-centric solutions. Key Responsibilities Design and develop full-stack applications using Java Spring Boot, Python, and modern front-end frameworks (React, Angular, or Vue.js). Integrate Generative AI models and APIs into enterprise-grade solutions. Build and maintain APIs, microservices, and data pipelines to support AI-driven features. Implement CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes). Deploy and manage applications on cloud platforms, preferably Microsoft Azure. Collaborate with cross-functional teams to deliver high-quality, AI-powered software solutions. 4+ years of full-stack development experience with Java Spring Boot and Python. Proven experience with Generative AI frameworks (e.g., OpenAI, Hugging Face, LangChain) and APIs. Strong understanding of CI/CD pipelines, DevOps practices, and infrastructure as code. Hands-on experience with Microsoft Azure cloud services. Proficiency in front-end development using JavaScript, TypeScript, and modern frameworks. Familiarity with containerization (Docker) and orchestration (Kubernetes). Excellent problem-solving skills and a passion for innovation. Strong communication and collaboration abilities. Preferred Skills Experience with vector databases, prompt engineering and fine-tuning LLMs. Exposure to multi-modal AI systems and agentic AI frameworks. Background in MLOps or AI model deployment on cloud platforms What We Offer Competitive salary and benefits package. Opportunity to work on cutting-edge AI technologies. Flexible work environment with remote options. A collaborative and intellectually curious team culture. Continuous learning and professional development support. Primary Skills Shift Time Recruiter Info Yateesh B Gybgaa@allstate.com About Allstate The Allstate Corporation is one of the largest publicly held insurance providers in the United States. Ranked No. 84 in the 2023 Fortune 500 list of the largest United States corporations by total revenue, The Allstate Corporation owns and operates 18 companies in the United States, Canada, Northern Ireland, and India. Allstate India Private Limited, also known as Allstate India, is a subsidiary of The Allstate Corporation. The India talent center was set up in 2012 and operates under the corporations Good Hands promise. As it innovates operations and technology, Allstate India has evolved beyond its technology functions to be the critical strategic business services arm of the corporation. With offices in Bengaluru and Pune, the company offers expertise to the parent organizations business areas including technology and innovation, accounting and imaging services, policy administration, transformation solution design and support services, transformation of property liability service design, global operations and integration, and training and transition. Learn more about Allstate India here.

Overview We are seeking a highly skilled and experienced Azure open AI Archirtect to join our growing team. You will play a key role in designing, developing, and implementing Gen AI solutions across various domains, including chatbots. The ideal candidate for this role will have experience with latest natural language processing, generative AI technologies and the ability to produce diverse content such as text, audio, images, or video. You will be responsible for integrating general-purpose AI models into our systems and ensuring they serve a variety of purposes effectively. Task and Responsibilities Collaborate with cross-functional teams to design and implement Gen AI solutions that meet business requirements. Developing, training, testing, and validating the AI system to ensure it meets the required standards and performs as intended. Design, develop, and deploy Gen AI solutions using advanced LLMs like OpenAI Models, Open Source LLMs ( Llama2 , Mistral ,"), and frameworks like Langchain and Pandas . Leverage expertise in Transformer/Neural Network models and Vector/Graph Databases to build robust and scalable AI systems. Integrate AI models into existing systems to enhance their capabilities. Creating data pipelines to ingest, process, and prepare data for analysis and modeling using Azure services, such as Azure AI Document Intelligence , Azure Databricks etc. Integrate speech-to-text functionality using Azure native services to create user-friendly interfaces for chatbots. Deploying and managing Azure services and resources using Azure DevOps or other deployment tools. Monitoring and troubleshooting deployed solutions to ensure optimal performance and reliability. Ensuring compliance with security and regulatory requirements related to AI solutions. Staying up-to-date with the latest Azure AI technologies and industry developments, and sharing knowledge and best practices with the team. Qualifications Overall 8+ years combined experience in IT and recent 5 years as AI engineer. Bachelor's or master's degree in computer science, information technology, or a related field. Experience in designing, developing, and delivering successful GenAI Solutions. Experience with Azure Cloud Platform and Azure AI services such as Azure AI Search, Azure OpenAI , Document Intelligence, Speech, Vision , etc. Experience with Azure infrastructure and solutioning. Familiarity with OpenAI Models, Open Source LLMs, and Gen AI frameworks like Langchain and Pandas . Solid understanding of Transformer/Neural Network architectures and their application in Gen AI. Hands-on experience with Vector/Graph Databases and their use in semantic & vector search. Proficiency in programming languages like Python (essential). Relevant industry certifications, such as Microsoft CertifiedAzure AI Engineer, Azure Solution Architect etc. is a plus. Excellent problem-solving, analytical, and critical thinking skills. Strong communication and collaboration skills to work effectively in a team environment. A passion for innovation and a desire to push the boundaries of what's possible with Gen AI.

Product at Innovaccer Our product team is a collaborative group of talented professionals who transform ideas into real-life solutions. They guide the creation, development, and launch of new products, ensuring alignment with our overall business strategy. Additionally, we are leveraging AI across all our solutions, revolutionizing healthcare and shaping the future to make a meaningful impact on the world.Youll have the opportunity to build the foundation for intelligence in healthcare, shaping how LLMs and AI agents power clinical decision-making, operations, and patient engagement safely, responsibly, and at scale.Join a team that values speed, openness, and ownership and be part of the company that's changing healthcare through data and AI. About the Role We are looking for a visionary Senior Director of Product Management-AI Platform to define, shape, and drive the strategy for Innovaccers AI Platform-a foundational layer that will power intelligent applications,LLM-based agents, and precision workflows across the healthcare ecosystem.You will lead the development of modular infrastructure and frameworks that enable safe,scalable, and context-aware AI-including SLMs, LLMs, and autonomous agents. Your leadership will guide how we abstract complexity, orchestrate models,and ensure responsible deployment across real-world clinical and operational settings.Youll sit at the intersection of data, ML, engineering, and healthcare delivery-translating cutting-edge AI into actionable, productized value. A Day in the Life Own the Vision Define and communicate the long-term product vision and roadmap for the AI Platform Align product strategy with Innovaccers AI-first approach and broader business goals Drive clarity around the role of LLMs, agent frameworks, and contextual AI within Innovaccers platform ecosystem Build the Foundation Architect and deliver core platform capabilities such as: Model Context Protocol layers for injecting structured healthcare data into AI workflows Agent frameworks with planning, memory, and tools integration Evaluation pipelines for safety, fairness, and domain alignment Model orchestration, fine-tuning, and inference APIs Lead cross-functional delivery with engineering, MLOps, and design teams to bring products from concept to scale Lead in the AI Community Represent Innovaccer in industry conversations on LLMs, RAG, agent safety, and applied healthcare AI Stay ahead of advancements in GenAI, healthcare-specific LLMs, multimodal models, and regulatory AI frameworks (e.g., HIPAA, FDA, EU AI Act) Champion responsible AI and standardization efforts through internal policy and external partnership Enable Internal & External Builders Deliver reusable toolkits, SDKs, and APIs to enable internal teams and customers to build healthcare-native AI products Partner with clinical informatics, data science, and platform engineering to ensure contextual accuracy and safety & collaborate with customer-facing teams to drive adoption and value realization What You Need 14+ years of product management experience, with 5+ years in AI/ML platform or data infrastructure products Proven experience building and scaling platforms for LLMs, SLMs, AI agents, or multi-modal AI applications Deep understanding of Agent architectures and orchestration,Retrieval-augmented generation (RAG),Vector stores, embeddings, prompt engineering,Model governance and evaluation Hands-on familiarity with platforms like LangChain, Hugging Face, Pinecone, Weaviate, MLflow, and cloud AI stacks (AWS, GCP, Azure) Ability to communicate complex concepts to both technical and business audiences Experience working with healthcare data (FHIR, HL7, CCD, EHRs, claims, etc.) Knowledge of AI safety, explainability, and compliance in regulated environments Published thought leadership or contributions to AI communities, open-source, or technical working groups

About the Role:. We are seeking a highly skilled Engineering Lead who is well-versed in the latest AI technologies, tools, and AI agents to help reimagine the future of digital content creation with Large Language Models (LLMs) at the core of the system. This is not an AI-flavored product the role involves conceptualizing, designing, and building workflows deeply integrated with LLMs. The future of content creation involves a transformation where AI will revolutionize processes such as ideation, content creation, distribution, and monetization, leaving human input focused primarily on creative execution. If you are passionate about AI-driven innovation and leading high-impact engineering teams, this role is for you.. Key Responsibilities: Conceptualize and build an AI-powered Digital Content OS from the ground up.. Gain deep insights into digital content workflows and integrate them into the product.. Hire, mentor, and manage a high-performing engineering team from scratch.. Work with a lean team to rapidly develop and deliver MVPs across different modules.. Hands-on coding and developmentthis is NOT a hands-off leadership role.. Key Qualifications: Hands-on experience building products using LLMs this is a must-have, not optional.. 5-8 years of relevant hands-on coding experience is mandatory.. Proven experience as a full-stack developer proficient in modern web technologies or a strong willingness to learn.. Strong background in building AI-first applications, particularly leveraging LLMs like OpenAI.. Experience with serverless architectures, vector databases, and Retrieval-Augmented Generation (RAG).. Deep understanding of scalable architectures and performance optimization.. Excellent problem-solving skills and the ability to work effectively under pressure.. Previous experience working with Generative AI (GenAI) and/or founding a startup is highly valued.. Bonus: Experience with vector DBs, RAG, prompt chaining, or Langchain..

Job Title: LiDAR Engineer Experience: 1+ Years Location: Hassan/Bangalore/Hyderabad Employment Type: Full-time Click the Below Link to Register Yourself for this Job: https://forms.gle/C1fYk7WSEjAB7Vjs5 Job Summary: We are seeking a skilled LiDAR Engineer with 1+ years of hands-on experience in LiDAR. The ideal candidate should be proficient in both 2D and 3D mapping, advance, ground and powerline classification, and the classification of above-ground features. Key Responsibilities: Perform LiDAR data classification for T&D network projects. Execute 2D and 3D mapping and modeling with accuracy and efficiency. Classify terrain and above-ground features based on project requirements. Collaborate with the project team to interpret and analyze LiDAR data. Ensure timely delivery of high-quality classified datasets. Maintain documentation and support project reporting. Required Skills & Qualifications: Bachelors degree in Geomatics, Geospatial Engineering, Remote Sensing, or a related field. 1+ years of relevant experience in LiDAR classification projects ( Advance, Powerline and Ground ). Proficient in LiDAR processing software such as TerraScan, Terra Model, Terra Photo. Proficient in Microstation Connect Edition V8 Software

Project description We need a Senior Python and Pyspark Developer to work for a leading investment bank client. Responsibilities Develop software applications based on business requirements Maintain software applications and make enhancements according to project specifications Participate in requirement analysis, design, development, testing, and implementation activities Propose new techniques and technologies for software development. Perform unit testing and user acceptance testing to evaluate application functionality Ensure to complete the assigned development tasks within the deadlines Work in compliance with coding standards and best practices Provide assistance to Junior Developers when needed. Perform code reviews and recommend improvements. Review business requirements and recommend changes to develop reliable applications. Develop coding documentation and other technical specifications for assigned projects. Act as primary contact for development queries and concerns. Analyze and resolve development issues accurately. Skills Must have 8+ years of experience in data intensive Pyspark development. Experience as a core Python developer. Experience developing Classes, OOPS, exception handling, parallel processing . Strong knowledge of DB connectivity, data loading , transformation, calculation. Extensive experience in Pandas/Numpy dataframes, slicing, data wrangling, aggregations. Lambda Functions, Decorators. Vector operations on Pandas dataframes /series. Application of applymap, apply, map functions. Concurrency and error handling data pipeline batch of size [1-10 gb]. Ability to understand business requirements and translate them into technical requirements. Ability to design architecture of data pipeline for concurrent data processing. Familiar with creating/designing RESTful services and APIs. Familiar with application unit tests. Working with Git source control Service-orientated architecture, including the ability to consider integrations with other applications and services. Debugging application. Nice to have Knowledge of web backend technology Django, Python, PostgreSQL. Apache Airflow Atlassian Jira Understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a plus Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus Other Languages EnglishC2 Proficient Seniority Senior

Project description Luxoft has been asked to contract a Developer in support of a number of customer initiatives. The primary objective is to develop based on client requirements in the Telecom/network work environment Responsibilities A developer with experience in the back end using the technologies listed. Knowledge in SAFe/Agile methodologies, Knowledge of RDBMS, Knowledge in DevOps, Azure, Microservices, and Expertise in building GUI. Translate User / Business to Technical Design. Hands-on experience with the skillset provided. Perform Code scan to identify security vulnerabilities and fix the issues Ability to work in Scaled Agile model Debug and fix Production Issues Support ETE testing and represent application Need to work as a team player Skills Must have Python, Airflow, Node.js, Microsoft Azure App Service, PostgreSQL, MySQL, Celery and RabbitMQ EducationTypically, a Bachelor's degree in Computer Science (preferably M.Sc. in Computer Science), Software Engineering, or a related field is required. Experience7+ years of experience in development or related fields. Technical Skills: Proficiency in Python, Airflow, along with JavaScript, and frameworks or libraries like NodeJS, and familiarity with databases like MySQL, PostgreSQL, or MongoDB building microservices/APIs, backend work, AZURE!, exposure to GenAI and vector DBs a plus). Understanding of ArchitectureComprehensive understanding of multiple back-end processes, and experience in API design and development. Version Control/GitExperience in version control systems like Git is essential for tracking changes in code during software development. Testing and DebuggingKnowledge of methods and tools for testing and debugging both front-end and back-end code. Problem-Solving Skills: Ability to troubleshoot and resolve issues related to application development and deployment. Communication Skills: Ability to effectively communicate technical concepts to team members and stakeholders. This includes written and verbal communication. TeamworkAbility to work effectively in teams with diverse individuals and skill sets. Continuous LearningGiven the rapidly evolving nature of web technologies, a commitment to learning and adapting to new technologies and methodologies is crucial. Nice to have Exposure to GenAI on the full-stack would be good (VectorDB like Milvus or Microsoft AI Search), APIs, etc. We can also maybe consider someone that has DevOps specifically with Azure experience. Building microservices/APIs, backend work, AZURE!, exposure to GenAI and vector DBs a plus OtherLanguagesEnglishC2 Proficient SenioritySenior

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% NLP Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Natural Language Processing Engineers with experience in text analytics, LLMs, and speech processing. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2 12 months, or freelancing. Be a part of Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Highly likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA). Build scalable NLP pipelines for real-time and batch processing of large text data and optimize models for performance and deploy on cloud platforms (AWS, GCP, Azure). Implement CI/CD pipelines for automated training, deployment, and monitoring & integrate NLP models with search engines, recommendation systems, and RAG techniques. Ensure ethical AI practices and mentor junior engineers. Required Skills: . Expert Python skills with NLP libraries (Hugging Face, SpaCy, NLTK). Experience with transformer-based models (BERT, GPT, T5) and deploying at scale (Flask, Kubernetes, cloud services). Strong knowledge of model optimization, data pipelines (Spark, Dask), and vector databases. Familiar with MLOps, CI/CD (MLflow, DVC), cloud platforms, and data privacy regulations. Nice to Have:. Experience with multimodal AI, conversational AI (Rasa, OpenAI API), graph-based NLP, knowledge graphs, and A/B testing for model improvement. Contributions to open-source NLP projects or a strong publication record. What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% NLP Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Natural Language Processing Engineers with experience in text analytics, LLMs, and speech processing. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2 12 months, or freelancing. Be a part of Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Highly likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA). Build scalable NLP pipelines for real-time and batch processing of large text data and optimize models for performance and deploy on cloud platforms (AWS, GCP, Azure). Implement CI/CD pipelines for automated training, deployment, and monitoring & integrate NLP models with search engines, recommendation systems, and RAG techniques. Ensure ethical AI practices and mentor junior engineers. Required Skills: . Expert Python skills with NLP libraries (Hugging Face, SpaCy, NLTK). Experience with transformer-based models (BERT, GPT, T5) and deploying at scale (Flask, Kubernetes, cloud services). Strong knowledge of model optimization, data pipelines (Spark, Dask), and vector databases. Familiar with MLOps, CI/CD (MLflow, DVC), cloud platforms, and data privacy regulations. Nice to Have:. Experience with multimodal AI, conversational AI (Rasa, OpenAI API), graph-based NLP, knowledge graphs, and A/B testing for model improvement. Contributions to open-source NLP projects or a strong publication record. What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% NLP Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Natural Language Processing Engineers with experience in text analytics, LLMs, and speech processing. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2 12 months, or freelancing. Be a part of Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Highly likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA). Build scalable NLP pipelines for real-time and batch processing of large text data and optimize models for performance and deploy on cloud platforms (AWS, GCP, Azure). Implement CI/CD pipelines for automated training, deployment, and monitoring & integrate NLP models with search engines, recommendation systems, and RAG techniques. Ensure ethical AI practices and mentor junior engineers. Required Skills: . Expert Python skills with NLP libraries (Hugging Face, SpaCy, NLTK). Experience with transformer-based models (BERT, GPT, T5) and deploying at scale (Flask, Kubernetes, cloud services). Strong knowledge of model optimization, data pipelines (Spark, Dask), and vector databases. Familiar with MLOps, CI/CD (MLflow, DVC), cloud platforms, and data privacy regulations. Nice to Have:. Experience with multimodal AI, conversational AI (Rasa, OpenAI API), graph-based NLP, knowledge graphs, and A/B testing for model improvement. Contributions to open-source NLP projects or a strong publication record. What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% NLP Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Natural Language Processing Engineers with experience in text analytics, LLMs, and speech processing. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2 12 months, or freelancing. Be a part of Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Highly likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA). Build scalable NLP pipelines for real-time and batch processing of large text data and optimize models for performance and deploy on cloud platforms (AWS, GCP, Azure). Implement CI/CD pipelines for automated training, deployment, and monitoring & integrate NLP models with search engines, recommendation systems, and RAG techniques. Ensure ethical AI practices and mentor junior engineers. Required Skills: . Expert Python skills with NLP libraries (Hugging Face, SpaCy, NLTK). Experience with transformer-based models (BERT, GPT, T5) and deploying at scale (Flask, Kubernetes, cloud services). Strong knowledge of model optimization, data pipelines (Spark, Dask), and vector databases. Familiar with MLOps, CI/CD (MLflow, DVC), cloud platforms, and data privacy regulations. Nice to Have:. Experience with multimodal AI, conversational AI (Rasa, OpenAI API), graph-based NLP, knowledge graphs, and A/B testing for model improvement. Contributions to open-source NLP projects or a strong publication record. What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

: Job Title Data Science_AI Engineer , AVP LocationBangalore, India Role Description We are seeking a seasoned Data Science Engineer to spearhead the development of intelligent, autonomous AI systems. The ideal candidate will have a robust background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves designing and deploying AI solutions that leverage Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. Deutsche Banks Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Design & Develop Agentic AI ApplicationsUtilize frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG PipelinesIntegrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language ModelsCustomize LLMs and SLMs using domain-specific data to improve performance and relevance in specialized applications. NER ModelsTrain OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge GraphsConstruct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-FunctionallyWork with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimize AI WorkflowsEmploy MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your skills and experience 10+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs, and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. For internal use only Hands-on experience with vector databases and embedding techniques. Familiarity with RAG architectures and hybrid search methodologies. Experience in developing AI solutions for specific industries such as healthcare, finance, or e- commerce. Strong problem-solving abilities and analytical thinking. Excellent communication skills for crossfunctional collaboration. Ability to work independently and manage multiple projects simultaneously. How well support you

SDET -Java RequirementSDET-Java Experience & BandB2 - 5 to 8 years Must Have: Candidates should possess between 5 to 10 years of experience in software test automation utilizing Java/J2EE, with a strong understanding of OOP concepts, design patterns, recursive and non-recursive programming, method overloading, method overriding, ArrayList, Vector, serialization, HashSet, and more. A minimum of 3 years of automation experience is mandatory, with overall experience exceeding 5 years. Proven, deep hands-on coding skills with Selenium WebDriver, BDD, and JavaScript are essential, along with experience in framework development. Experience in API automation using RestAssured or Selenium (NOT Postman or SOAPUI) is required. Hands-on experience with CI/CD practices utilizing Maven, GitHub, Jenkins, and TestNG is crucial. Candidates should have experience in continuous test automation using Jenkins or Azure DevOps. Experience in enabling in-sprint automation is also necessary. Familiarity with Automation Life Cycle activities, such as feasibility studies, estimations, proof of concepts, and possessing strong communication skills, is important. Nice to Have: Knowledge of AWS, Kubernetes, Ansible/Chef, Docker, MongoDB, JavaScript, Spring Boot, Nexus/JFrog, etc., is a plus. Familiarity with code quality tools such as Sonar, Jacoco, and SeaLights is advantageous. Exposure to AI/ML concepts and insights on their applicability to testing is beneficial. Experience with non-functional testing, including performance testing (using JMeter), accessibility testing (using JAWS), and visual testing (using Applitools), is desirable. Familiarity with Site Reliability Engineering (SRE) practices is also a plus. Work LocationPune, Bangalore, Chennai, Hyderabad. Mandatory Skills: SDET. Experience3-5 Years.

RequirementSDET-Java Experience & BandB2 - 5 to 8 years Must Have: Candidates should possess between 5 to 10 years of experience in software test automation utilizing Java/J2EE, with a strong understanding of OOP concepts, design patterns, recursive and non-recursive programming, method overloading, method overriding, ArrayList, Vector, serialization, HashSet, and more. A minimum of 3 years of automation experience is mandatory, with overall experience exceeding 5 years. Proven, deep hands-on coding skills with Selenium WebDriver, BDD, and JavaScript are essential, along with experience in framework development. Experience in API automation using RestAssured or Selenium (NOT Postman or SOAPUI) is required. Hands-on experience with CI/CD practices utilizing Maven, GitHub, Jenkins, and TestNG is crucial. Candidates should have experience in continuous test automation using Jenkins or Azure DevOps. Experience in enabling in-sprint automation is also necessary. Familiarity with Automation Life Cycle activities, such as feasibility studies, estimations, proof of concepts, and possessing strong communication skills, is important. Nice to Have: Knowledge of AWS, Kubernetes, Ansible/Chef, Docker, MongoDB, JavaScript, Spring Boot, Nexus/JFrog, etc., is a plus. Familiarity with code quality tools such as Sonar, Jacoco, and SeaLights is advantageous. Exposure to AI/ML concepts and insights on their applicability to testing is beneficial. Experience with non-functional testing, including performance testing (using JMeter), accessibility testing (using JAWS), and visual testing (using Applitools), is desirable. Familiarity with Site Reliability Engineering (SRE) practices is also a plus. Work LocationPune, Bangalore, Chennai, Hyderabad. Mandatory Skills: SDET. Experience3-5 Years.

Job TitleAI/ML Engineer Location: Bangalore Job Type: Full-Time Lab45 is the innovation arm of Wipro focused on building cutting edge products, platforms and solutions. We would like to harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics, and emerging technologies like Blockchain, AR/VR and Software Defined Vehicles to help our clients and customers adapt to the digital world and become more successful. Lab45 is a visionary space developing ground-breaking solutions to foster and accelerate ideation throughout Wipro. At Lab45, teams of engineers, research analysts, and scientists come together to infuse creative ways of incubating solutions for customers that will transform the future. It is a space filled with ambition at the vanguard of far-reaching research across cutting-edge technologies. Introduction :We are seeking a highly skilled and experienced AI/ML Engineer to join our innovative team. The ideal candidate will have a strong background in backend development using Python, expertise in LangChain, vector databases, and applied AI using large language models (LLMs), Retrieval-Augmented Generation (RAG), Graph RAG, and other Generative AI applications. This role requires a blend of advanced technical skills in software design, data structures, and coding, coupled with a passion for AI-driven innovation. Key Responsibilities: Design, develop, and maintain robust backend systems integrating advanced AI and ML capabilities. Implement and optimize LangChain for efficient language model chaining and application. Manage and manipulate data using vector databases to enhance model performance and scalability. Develop and deploy solutions based on LLMs, RAG, and Graph RAG to solve complex problems and improve user interactions. Collaborate with cross-functional teams to define clear specifications, deliverables, and timelines. Stay abreast of industry trends and advancements in AI and ML technologies, applying this knowledge to drive continuous improvement in our solutions. Write clean, manageable code and maintain proper documentation. Conduct code reviews, and mentor junior engineers, promoting best practices in software development and AI integration. Ensure the performance, quality, and responsiveness of applications Qualifications: Bachelors or Masters degree in Computer Science, or a related field. Proven experience (5+ years) as an Software Engineer with a focus on backend development. Expertise in Python programming and familiarity with frameworks and libraries relevant to AI and ML. Strong experience with LangChain, vector databases, and technologies such as MongoDB and Pinecone. Profound knowledge of LLMs, RAG, Graph RAG, and other Generative AI concepts. Excellent skills in software design, data structures, and algorithms. Experience with software development tools including version control systems (e.g., Git), continuous integration/continuous deployment (CI/CD) pipelines. Strong analytical and problem-solving skills. Excellent communication and teamwork skills. Preferred Skills: Experience with cloud platforms (AWS, Google Cloud, Azure) and understanding of scalable architecture. Familiarity with containerization and orchestration technologies (Docker, Kubernetes). Deliver No. Performance Parameter Measure 1. Design and develop solutions Adherence to project plan/ schedule, 100% error free on boarding & implementation, throughput % 2. Quality & CSAT On-Time Delivery, minimum corrections, first time right, no major defects post production, 100% compliance of bi-directional traceability matrix, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

RequirementSDET-Java Experience & BandB3 - 8 to 11 years Must Have: Candidates should possess between 8to 10 years of experience in software test automation utilizing Java/J2EE, with a strong understanding of OOP concepts, design patterns, recursive and non-recursive programming, method overloading, method overriding, ArrayList, Vector, serialization, HashSet, and more. A minimum of 3 years of automation experience is mandatory, with overall experience exceeding 5 years. Proven, deep hands-on coding skills with Selenium WebDriver, BDD, and JavaScript are essential, along with experience in framework development. Experience in API automation using RestAssured or Selenium (NOT Postman or SOAPUI) is required. Hands-on experience with CI/CD practices utilizing Maven, GitHub, Jenkins, and TestNG is crucial. Candidates should have experience in continuous test automation using Jenkins or Azure DevOps. Experience in enabling in-sprint automation is also necessary. Familiarity with Automation Life Cycle activities, such as feasibility studies, estimations, proof of concepts, and possessing strong communication skills, is important. Nice to Have: Knowledge of AWS, Kubernetes, Ansible/Chef, Docker, MongoDB, JavaScript, Spring Boot, Nexus/JFrog, etc., is a plus. Familiarity with code quality tools such as Sonar, Jacoco, and SeaLights is advantageous. Exposure to AI/ML concepts and insights on their applicability to testing is beneficial. Experience with non-functional testing, including performance testing (using JMeter), accessibility testing (using JAWS), and visual testing (using Applitools), is desirable. Familiarity with Site Reliability Engineering (SRE) practices is also a plus. Work LocationPune, Bangalore, Chennai, Hyderabad. Mandatory Skills: SDET. Experience5-8 Years.

Job TitleAI/ML Engineer Location: Bangalore Job Type: Full-Time Introduction :We are seeking a highly skilled and experienced AI/ML Engineer to join our innovative team. The ideal candidate will have a strong background in backend development using Python, expertise in LangChain, vector databases, and applied AI using large language models (LLMs), Retrieval-Augmented Generation (RAG), Graph RAG, and other Generative AI applications. This role requires a blend of advanced technical skills in software design, data structures, and coding, coupled with a passion for AI-driven innovation. Key Responsibilities: Design, develop, and maintain robust backend systems integrating advanced AI and ML capabilities. Implement and optimize LangChain for efficient language model chaining and application. Manage and manipulate data using vector databases to enhance model performance and scalability. Develop and deploy solutions based on LLMs, RAG, and Graph RAG to solve complex problems and improve user interactions. Collaborate with cross-functional teams to define clear specifications, deliverables, and timelines. Stay abreast of industry trends and advancements in AI and ML technologies, applying this knowledge to drive continuous improvement in our solutions. Write clean, manageable code and maintain proper documentation. Conduct code reviews, and mentor junior engineers, promoting best practices in software development and AI integration. Ensure the performance, quality, and responsiveness of applications. Qualifications: Bachelors or Masters degree in Computer Science, or a related field. Proven experience (5+ years) as an Software Engineer with a focus on backend development. Expertise in Python programming and familiarity with frameworks and libraries relevant to AI and ML. Strong experience with LangChain, vector databases, and technologies such as MongoDB and Pinecone. Profound knowledge of LLMs, RAG, Graph RAG, and other Generative AI concepts. Excellent skills in software design, data structures, and algorithms. Experience with software development tools including version control systems (e.g., Git), continuous integration/continuous deployment (CI/CD) pipelines. Strong analytical and problem-solving skills. Excellent communication and teamwork skills. Preferred Skills: Experience with cloud platforms (AWS, Google Cloud, Azure) and understanding of scalable architecture. Familiarity with containerization and orchestration technologies (Docker, Kubernetes). Job TitleAI/ML Engineer Location: Bangalore Job Type: Full-Time Introduction :We are seeking a highly skilled and experienced AI/ML Engineer to join our innovative team. The ideal candidate will have a strong background in backend development using Python, expertise in LangChain, vector databases, and applied AI using large language models (LLMs), Retrieval-Augmented Generation (RAG), Graph RAG, and other Generative AI applications. This role requires a blend of advanced technical skills in software design, data structures, and coding, coupled with a passion for AI-driven innovation. Key Responsibilities: Design, develop, and maintain robust backend systems integrating advanced AI and ML capabilities. Implement and optimize LangChain for efficient language model chaining and application. Manage and manipulate data using vector databases to enhance model performance and scalability. Develop and deploy solutions based on LLMs, RAG, and Graph RAG to solve complex problems and improve user interactions. Collaborate with cross-functional teams to define clear specifications, deliverables, and timelines. Stay abreast of industry trends and advancements in AI and ML technologies, applying this knowledge to drive continuous improvement in our solutions. Write clean, manageable code and maintain proper documentation. Conduct code reviews, and mentor junior engineers, promoting best practices in software development and AI integration. Ensure the performance, quality, and responsiveness of applications. Qualifications: Bachelors or Masters degree in Computer Science, or a related field. Proven experience (5+ years) as an Software Engineer with a focus on backend development. Expertise in Python programming and familiarity with frameworks and libraries relevant to AI and ML. Strong experience with LangChain, vector databases, and technologies such as MongoDB and Pinecone. Profound knowledge of LLMs, RAG, Graph RAG, and other Generative AI concepts. Excellent skills in software design, data structures, and algorithms. Experience with software development tools including version control systems (e.g., Git), continuous integration/continuous deployment (CI/CD) pipelines. Strong analytical and problem-solving skills. Excellent communication and teamwork skills. Preferred Skills: Experience with cloud platforms (AWS, Google Cloud, Azure) and understanding of scalable architecture. Familiarity with containerization and orchestration technologies (Docker, Kubernetes). 2. Provide customer support and problem solving from time to time Perform defect fixing raised by the client or software integration team while solving the tickets raised Develop software verification plans and quality assurance procedures for the customer Troubleshoot, debug and upgrade existing systems on time & with minimum latency and maximum efficiency Deploy programs and evaluate user feedback for adequate resolution with customer satisfaction Comply with project plans and industry standards 3. Ensure reporting & documentation for the client Ensure weekly, monthly status reports for the clients as per requirements Maintain documents and create a repository of all design changes, recommendations etc Maintain time-sheets for the clients Providing written knowledge transfer/ history of the project Deliver No. Performance Parameter Measure 1. Design and develop solutions Adherence to project plan/ schedule, 100% error free on boarding & implementation, throughput % 2. Quality & CSAT On-Time Delivery, minimum corrections, first time right, no major defects post production, 100% compliance of bi-directional traceability matrix, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

RequirementSDET-Java Experience & BandB3 - 8 to 11 years Must Have: Candidates should possess between 8to 10 years of experience in software test automation utilizing Java/J2EE, with a strong understanding of OOP concepts, design patterns, recursive and non-recursive programming, method overloading, method overriding, ArrayList, Vector, serialization, HashSet, and more. A minimum of 3 years of automation experience is mandatory, with overall experience exceeding 5 years. Proven, deep hands-on coding skills with Selenium WebDriver, BDD, and JavaScript are essential, along with experience in framework development. Experience in API automation using RestAssured or Selenium (NOT Postman or SOAPUI) is required. Hands-on experience with CI/CD practices utilizing Maven, GitHub, Jenkins, and TestNG is crucial. Candidates should have experience in continuous test automation using Jenkins or Azure DevOps. Experience in enabling in-sprint automation is also necessary. Familiarity with Automation Life Cycle activities, such as feasibility studies, estimations, proof of concepts, and possessing strong communication skills, is important. Nice to Have: Knowledge of AWS, Kubernetes, Ansible/Chef, Docker, MongoDB, JavaScript, Spring Boot, Nexus/JFrog, etc., is a plus. Familiarity with code quality tools such as Sonar, Jacoco, and SeaLights is advantageous. Exposure to AI/ML concepts and insights on their applicability to testing is beneficial. Experience with non-functional testing, including performance testing (using JMeter), accessibility testing (using JAWS), and visual testing (using Applitools), is desirable. Familiarity with Site Reliability Engineering (SRE) practices is also a plus. Work LocationPune, Bangalore, Chennai, Hyderabad. Mandatory Skills: SDET. Experience5-8 Years.

RequirementSDET-Java Experience & BandB3 - 8 to 11 years Must Have: Candidates should possess between 8to 10 years of experience in software test automation utilizing Java/J2EE, with a strong understanding of OOP concepts, design patterns, recursive and non-recursive programming, method overloading, method overriding, ArrayList, Vector, serialization, HashSet, and more. A minimum of 3 years of automation experience is mandatory, with overall experience exceeding 5 years. Proven, deep hands-on coding skills with Selenium WebDriver, BDD, and JavaScript are essential, along with experience in framework development. Experience in API automation using RestAssured or Selenium (NOT Postman or SOAPUI) is required. Hands-on experience with CI/CD practices utilizing Maven, GitHub, Jenkins, and TestNG is crucial. Candidates should have experience in continuous test automation using Jenkins or Azure DevOps. Experience in enabling in-sprint automation is also necessary. Familiarity with Automation Life Cycle activities, such as feasibility studies, estimations, proof of concepts, and possessing strong communication skills, is important. Nice to Have: Knowledge of AWS, Kubernetes, Ansible/Chef, Docker, MongoDB, JavaScript, Spring Boot, Nexus/JFrog, etc., is a plus. Familiarity with code quality tools such as Sonar, Jacoco, and SeaLights is advantageous. Exposure to AI/ML concepts and insights on their applicability to testing is beneficial. Experience with non-functional testing, including performance testing (using JMeter), accessibility testing (using JAWS), and visual testing (using Applitools), is desirable. Familiarity with Site Reliability Engineering (SRE) practices is also a plus. Work LocationPune, Bangalore, Chennai, Hyderabad. . Mandatory Skills: SDET. Experience5-8 Years.