1044 Llm Jobs - Page 13

About the Role: This task requires the creation of original, high-difficulty Q&As in the STEM domain that are not easily searchable online ("non-Googleable"). The questions should be designed to challenge advanced high thinking language models and must be accompanied by accurate, detailed step-by-step solutions. Required Qualifications: Masters degree holders in Mathematics. Highly proficient in writing equations and expression in LaTeX format. Excellent command of English with superior academic writing abilities. Deep subject knowledge and consistency in delivering high-quality content within tight deadlines. . Strong expertise in the following areas: Algebra, Calculus, Probability, Linear Algebra, Discrete Mathematics, Number Theory, and Differential Equations. Experience in designing structured problem-solving approaches. Prior experience in academic content creation, research, or structured Q&A development is a plus. Skills & Competencies: Strong analytical and problem-solving skills. Excellent attention to detail and logical reasoning. Ability to break down complex problems into structured, step-by-step solutions. Strong communication skills for articulating mathematical reasoning . Preferred Qualifications: Experience in AI/ML-driven problem formulation or model evaluation. Familiarity with educational technology and online assessment platforms. Red teaming experience will be preferred. Interested candidates please share your CV to : mrana@innodata.com

We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Establish and manage an embedding pipeline for Confluence documentation. - Build and maintain orchestration logic for prompt execution and data retrieval. - Set up API authentication and role-based access controls for integrated systems. - Connect and validate vector store operations (e.g., Pinecone, Weaviate, or Snowflake vector extension). - Contribute to documentation, internal walkthroughs, and user acceptance testing planning. - Participate in Agile ceremonies including daily standups and sprint demos. Required Qualifications : - Proven experience with Gemini and large language model deployment in production environments. - Proficiency in Python, orchestration tools, and prompt engineering techniques. - Familiarity with vector database technologies and embedding workflows. - Experience integrating APIs for data platforms such as Looker and Confluence. - Strong understanding of access control frameworks and enterprise-grade authentication. - Demonstrated success in Agile, sprint-based project environments. Preferred Qualifications : - Experience working with Slack app development and deployment. - Background in MLOps, LLMOps, or AI system orchestration at scale. - Excellent communication skills and ability to work in cross-functional teams.

- Design, develop, and maintain solutions using Microsoft Copilot Studio for both declarative and custom agents. - Communicate with business users to gather requirements and design Microsoft Copilot solution. - Act as a business solutions architect in the Microsoft Copilot to guide team members in unified approach on development. - Develop custom connectors for Microsoft Copilot. - Integrate Microsoft Copilot with Power Platform Solutions using Power Automate, Teams, Sharepoint, different knowledge bases etc. - Provide support for existing solutions and collaborate with cross-functional teams to investigate possible issues. Requirements : - Proficiency in Computer Science, Engineering, Information Systems, or a related field. - Strong experience with Microsoft Power Platform. - Strong experience integrating REST APIs, custom connectors, and Azure services. - Experience with Copilot AI, Azure OpenAI, or similar AI-powered development tools, LLMs, familiarity with AI concepts. - Strong problem-solving skills and ability to translate business needs into technical solutions. - Must have skills: Microsoft Power Apps, Microsoft Copilot.

We are hiring an AI/ML Lead with hands-on experience in LLMs, RAG pipelines, prompt engineering, model fine-tuning/quantization, and Agentic AI. Youll work on building production-grade AI systems, lead technical strategy, and collaborate with cross-functional teams to deliver intelligent solutions. Key Skills: LLM evaluation & deployment (GPT, LLaMA, Mistral, etc.) RAG pipeline design (LangChain, vector DBs) Prompt engineering & chaining Fine-tuning, LoRA, quantization (INT4/INT8) Agentic AI system development Python, Hugging Face, PyTorch intha jd

Role : Senior Agentic AI Developer Location: Bangalore/Hyderabad Roles & Responsibilities: We are seeking a skilled Agentic AI Developer to design and implement intelligent agent systems powered by Large Language Models (LLMs) . This role involves developing LLM-based pipelines that can ingest transcripts, documents, or business narratives and generate structured artifacts such as workflows, decision trees, action plans, or contextual recommendations. You will collaborate with cross-functional teams to deploy autonomous AI agents capable of reasoning, planning, memory, and tool usage in enterprise environments primarily within the Microsoft ecosystem (Azure, Power Platform, Copilot, and M365 integrations). Key Responsibilities Build and deploy autonomous agent systems using frameworks such as LangChain, AutoGen, CrewAI, or Semantic Kernel. Develop pipelines to process natural language input and generate structured outputs tailored to business needs. Implement agentic features such as task orchestration, memory storage, tool integration , and feedback loops. Fine-tune LLMs or apply prompt engineering to optimize accuracy, explainability, and responsiveness. Integrate agents with Microsoft 365 services (Teams, Outlook, SharePoint) and Power Platform components (Dataverse, Power Automate). Collaborate with business and product teams to define use cases, test scenarios, and performance benchmarks. Participate in scenario-based UAT testing, risk evaluation, and continuous optimization. Must-Have Skills Proficiency in Python and hands-on experience with ML/AI libraries and frameworks (Transformers, PyTorch, LangChain). Strong understanding of LLMs (e.g., GPT, Claude, LLaMA, Mistral) and prompt engineering principles. Experience developing agent workflows using ReAct, AutoGen, CrewAI, or OpenAI function calling . Familiarity with Vector Databases (FAISS, Pinecone, Qdrant) and RAG-based architectures . Skills in Natural Language Processing (NLP) : summarization, entity recognition, intent classification. Integration experience with APIs, SDKs , and enterprise tools (preferably Microsoft stack).

Key Responsibilities AI Architect Designs and oversees the AI strategy, ensuring solutions are scalable, adaptable, and aligned with business objectives. They establish AI frameworks, integrate systems, and provide guidance on infrastructure. AI Engineering Develops and deploys AI models, optimizing performance and ensuring seamless integration into existing workflows. They fine-tune algorithms, uses methods like RAG, Vector Databases and focus on real-world implementation. Develops and executes test plans to validate AI models, identifying performance issues and potential biases. Design and Development: Develop AI models and algorithms tailored to the specific needs of the business. Experience with Natural Language Processing (NLP), prompt engineering, etc. Works with existing data science team where applicable. AI Testing & Validation Responsibilities include: Ensure AI solutions perform reliably and ethically. Quality Assurance Conducts functional and non-functional testing, ensuring AI applications meet performance, security, and scalability requirements. Data Validation Monitors training data quality, ensuring accuracy, integrity, and consistency while minimizing errors and biases. Model Evaluation Assesses AI models through rigorous validation techniques, including cross-validation and error analysis, to refine performance. AI Ethics Auditing– Reviews AI decisions for fairness, transparency, and compliance with regulations, adjusting models where necessary. Deployment: Experience deploying models into production environments and working with teams to integrate solutions into existing software applications and platforms. Familiarity with CI/CD pipelines. Data Analysis: Analyze large datasets to extract meaningful insights and patterns; including interoperable data that may not be fully first party data. Strong understanding of supervised/unsupervised learning, neural networks, model evaluation and handling data at scale. Optimization: Have a passion for continual learning, optimizing AI models for performance and accuracy. Research: Stay updated with the latest AI advancements and integrate cutting-edge technologies into projects. Collaboration: Work closely with cross-functional teams to understand business requirements and deliver effective solutions. Documentation: Prepare comprehensive documentation for developed AI models and algorithms. Testing: Conduct rigorous testing and validation to ensure robustness and reliability of AI solutions. Qualifications: Education: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or in related field. Experience: 5 to 8+ years of professional experience in software engineering, machine learning, or AI. 3+ years specifically working with generative AI models (e.g., transformers, diffusion models, LLMs like GPT, image generation models like Stable Diffusion or DALL•E). Technical Skills: Proficiency in programming languages such as Python, Java, C++, and frameworks like TensorFlow, PyTorch or Tensorflow and ML frameworks. Proficient in LLM Frameworks such as LangChain, LlamaIndex, OpenAI API. Analytical Skills: Strong analytical and problem-solving skills. Communication: Excellent verbal and written communication skills. Team Player: Ability to work collaboratively in a team environment and mentor junior developers. Creativity: Ability to think creatively and develop innovative solutions. Preferred Skills and Experience Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of big data technologies and databases. Familiarity with natural language processing (NLP) and computer vision. Understanding of software development lifecycle and agile methodologies. Experience with version control systems like Git.

Role & responsibilities Must Haves Proven track record of project delivery for 1+ years Good coding (Preferably Python) skills and DSA Good problem solving and communication skills. Good Knowledge of Gen-AI technologies (LLM prompt engineering) Familiarity with React, HTML, CSS, JS or similar frameworks Familiarity with HTTP, REST, microservices, concurrency and Multithreading Willingness to work in a dynamic and fast paced environment. 4-6 years of experience with a Bachelor / Master's Degree in Computer Science or equivalent. Ownership and commitment towards work

Staff/Sr. Staff Engineer Experience: 6 - 15 Years Exp Salary : Competitive Preferred Notice Period : Within 60 Days Shift : 10:00AM to 6:00PM IST Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Airflow OR LLMs OR MLOps OR Generative AI and Python Netskope (One of Uplers' Clients) is Looking for: Staff/Sr. Staff Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Job Summary: Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products. We are looking for skilled engineers experienced with building and optimizing cloud-scale distributed systems to develop our next-generation ingestion, processing and storage solutions. You will work closely with other engineers and the product team to build highly scalable systems that tackle real-world data problems. Our customers depend on us to provide accurate, real-time and fault tolerant solutions to their ever growing data needs. This is a hands-on, impactful role that will help lead development, validation, publishing and maintenance of logical and physical data models that support various OLTP and analytics environments. What's in it for you You will be part of a growing team of renowned industry experts in the exciting space of Data and Cloud Analytics Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products You will solve complex, interesting challenges, and improve the depth and breadth of your technical and business skills. What you will be doing Lead the design, development, and deployment of AI/ML models for threat detection, anomaly detection, and predictive analytics in cloud and network security. Architect and implement scalable data pipelines for processing large-scale datasets from logs, network traffic, and cloud environments. Apply MLOps best practices to deploy and monitor machine learning models in production. Collaborate with cloud architects and security analysts to develop cloud-native security solutions leveraging platforms like AWS, Azure, or GCP. Build and optimize Retrieval-Augmented Generation (RAG) systems by integrating large language models (LLMs) with vector databases for real-time, context-aware applications. Analyze network traffic, log data, and other telemetry to identify and mitigate cybersecurity threats. Ensure data quality, integrity, and compliance with GDPR, HIPAA, or SOC 2 standards. Drive innovation by integrating the latest AI/ML techniques into security products and services. Mentor junior engineers and provide technical leadership across projects. Required skills and experience AI/ML Expertise Proficiency in advanced machine learning techniques, including neural networks (e.g., CNNs, Transformers) and anomaly detection. Experience with AI frameworks like TensorFlow, PyTorch, and Scikit-learn. Strong understanding of MLOps practices and tools (e.g., MLflow, Kubeflow). Experience building and deploying Retrieval-Augmented Generation (RAG) systems, including integration with LLMs and vector databases. Data Engineering Expertise designing and optimizing ETL/ELT pipelines for large-scale data processing. Hands-on experience with big data technologies (e.g., Apache Spark, Kafka, Flink). Proficiency in working with relational and non-relational databases, including ClickHouse and BigQuery. Familiarity with vector databases such as Pinecone and PGVector and their application in RAG systems. Experience with cloud-native data tools like AWS Glue, BigQuery, or Snowflake. Cloud and Security Knowledge Strong understanding of cloud platforms (AWS, Azure, GCP) and their services. Experience with network security concepts, extended detection and response, and threat modeling. Software Engineering Proficiency in Python, Java, or Scala for data and ML solution development. Expertise in scalable system design and performance optimization for high-throughput applications. Leadership and Collaboration Proven ability to lead cross-functional teams and mentor engineers. Strong communication skills to present complex technical concepts to stakeholders. Education BSCS or equivalent required, MSCS or equivalent strongly preferred How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Netskope, a global SASE leader, helps organizations apply zero trust principles and AI/ML innovations to protect data and defend against cyber threats. Fast and easy to use, the Netskope platform provides optimized access and real-time security for people, devices, and data anywhere they go. Netskope helps customers reduce risk, accelerate performance, and get unrivaled visibility into any cloud, web, and private application activity. Thousands of customers trust Netskope and its powerful NewEdge network to address evolving threats, new risks, technology shifts, organizational and network changes, and new regulatory requirements About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Staff/Sr. Staff Engineer Experience: 6 - 15 Years Exp Salary : Competitive Preferred Notice Period : Within 60 Days Shift : 10:00AM to 6:00PM IST Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Airflow OR LLMs OR MLOps OR Generative AI and Python Netskope (One of Uplers' Clients) is Looking for: Staff/Sr. Staff Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Job Summary: Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products. We are looking for skilled engineers experienced with building and optimizing cloud-scale distributed systems to develop our next-generation ingestion, processing and storage solutions. You will work closely with other engineers and the product team to build highly scalable systems that tackle real-world data problems. Our customers depend on us to provide accurate, real-time and fault tolerant solutions to their ever growing data needs. This is a hands-on, impactful role that will help lead development, validation, publishing and maintenance of logical and physical data models that support various OLTP and analytics environments. What's in it for you You will be part of a growing team of renowned industry experts in the exciting space of Data and Cloud Analytics Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products You will solve complex, interesting challenges, and improve the depth and breadth of your technical and business skills. What you will be doing Lead the design, development, and deployment of AI/ML models for threat detection, anomaly detection, and predictive analytics in cloud and network security. Architect and implement scalable data pipelines for processing large-scale datasets from logs, network traffic, and cloud environments. Apply MLOps best practices to deploy and monitor machine learning models in production. Collaborate with cloud architects and security analysts to develop cloud-native security solutions leveraging platforms like AWS, Azure, or GCP. Build and optimize Retrieval-Augmented Generation (RAG) systems by integrating large language models (LLMs) with vector databases for real-time, context-aware applications. Analyze network traffic, log data, and other telemetry to identify and mitigate cybersecurity threats. Ensure data quality, integrity, and compliance with GDPR, HIPAA, or SOC 2 standards. Drive innovation by integrating the latest AI/ML techniques into security products and services. Mentor junior engineers and provide technical leadership across projects. Required skills and experience AI/ML Expertise Proficiency in advanced machine learning techniques, including neural networks (e.g., CNNs, Transformers) and anomaly detection. Experience with AI frameworks like TensorFlow, PyTorch, and Scikit-learn. Strong understanding of MLOps practices and tools (e.g., MLflow, Kubeflow). Experience building and deploying Retrieval-Augmented Generation (RAG) systems, including integration with LLMs and vector databases. Data Engineering Expertise designing and optimizing ETL/ELT pipelines for large-scale data processing. Hands-on experience with big data technologies (e.g., Apache Spark, Kafka, Flink). Proficiency in working with relational and non-relational databases, including ClickHouse and BigQuery. Familiarity with vector databases such as Pinecone and PGVector and their application in RAG systems. Experience with cloud-native data tools like AWS Glue, BigQuery, or Snowflake. Cloud and Security Knowledge Strong understanding of cloud platforms (AWS, Azure, GCP) and their services. Experience with network security concepts, extended detection and response, and threat modeling. Software Engineering Proficiency in Python, Java, or Scala for data and ML solution development. Expertise in scalable system design and performance optimization for high-throughput applications. Leadership and Collaboration Proven ability to lead cross-functional teams and mentor engineers. Strong communication skills to present complex technical concepts to stakeholders. Education BSCS or equivalent required, MSCS or equivalent strongly preferred How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Netskope, a global SASE leader, helps organizations apply zero trust principles and AI/ML innovations to protect data and defend against cyber threats. Fast and easy to use, the Netskope platform provides optimized access and real-time security for people, devices, and data anywhere they go. Netskope helps customers reduce risk, accelerate performance, and get unrivaled visibility into any cloud, web, and private application activity. Thousands of customers trust Netskope and its powerful NewEdge network to address evolving threats, new risks, technology shifts, organizational and network changes, and new regulatory requirements About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Staff/Sr. Staff Engineer Experience: 6 - 15 Years Exp Salary : Competitive Preferred Notice Period : Within 60 Days Shift : 10:00AM to 6:00PM IST Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Airflow OR LLMs OR MLOps OR Generative AI and Python Netskope (One of Uplers' Clients) is Looking for: Staff/Sr. Staff Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Job Summary: Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products. We are looking for skilled engineers experienced with building and optimizing cloud-scale distributed systems to develop our next-generation ingestion, processing and storage solutions. You will work closely with other engineers and the product team to build highly scalable systems that tackle real-world data problems. Our customers depend on us to provide accurate, real-time and fault tolerant solutions to their ever growing data needs. This is a hands-on, impactful role that will help lead development, validation, publishing and maintenance of logical and physical data models that support various OLTP and analytics environments. What's in it for you You will be part of a growing team of renowned industry experts in the exciting space of Data and Cloud Analytics Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products You will solve complex, interesting challenges, and improve the depth and breadth of your technical and business skills. What you will be doing Lead the design, development, and deployment of AI/ML models for threat detection, anomaly detection, and predictive analytics in cloud and network security. Architect and implement scalable data pipelines for processing large-scale datasets from logs, network traffic, and cloud environments. Apply MLOps best practices to deploy and monitor machine learning models in production. Collaborate with cloud architects and security analysts to develop cloud-native security solutions leveraging platforms like AWS, Azure, or GCP. Build and optimize Retrieval-Augmented Generation (RAG) systems by integrating large language models (LLMs) with vector databases for real-time, context-aware applications. Analyze network traffic, log data, and other telemetry to identify and mitigate cybersecurity threats. Ensure data quality, integrity, and compliance with GDPR, HIPAA, or SOC 2 standards. Drive innovation by integrating the latest AI/ML techniques into security products and services. Mentor junior engineers and provide technical leadership across projects. Required skills and experience AI/ML Expertise Proficiency in advanced machine learning techniques, including neural networks (e.g., CNNs, Transformers) and anomaly detection. Experience with AI frameworks like TensorFlow, PyTorch, and Scikit-learn. Strong understanding of MLOps practices and tools (e.g., MLflow, Kubeflow). Experience building and deploying Retrieval-Augmented Generation (RAG) systems, including integration with LLMs and vector databases. Data Engineering Expertise designing and optimizing ETL/ELT pipelines for large-scale data processing. Hands-on experience with big data technologies (e.g., Apache Spark, Kafka, Flink). Proficiency in working with relational and non-relational databases, including ClickHouse and BigQuery. Familiarity with vector databases such as Pinecone and PGVector and their application in RAG systems. Experience with cloud-native data tools like AWS Glue, BigQuery, or Snowflake. Cloud and Security Knowledge Strong understanding of cloud platforms (AWS, Azure, GCP) and their services. Experience with network security concepts, extended detection and response, and threat modeling. Software Engineering Proficiency in Python, Java, or Scala for data and ML solution development. Expertise in scalable system design and performance optimization for high-throughput applications. Leadership and Collaboration Proven ability to lead cross-functional teams and mentor engineers. Strong communication skills to present complex technical concepts to stakeholders. Education BSCS or equivalent required, MSCS or equivalent strongly preferred How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Netskope, a global SASE leader, helps organizations apply zero trust principles and AI/ML innovations to protect data and defend against cyber threats. Fast and easy to use, the Netskope platform provides optimized access and real-time security for people, devices, and data anywhere they go. Netskope helps customers reduce risk, accelerate performance, and get unrivaled visibility into any cloud, web, and private application activity. Thousands of customers trust Netskope and its powerful NewEdge network to address evolving threats, new risks, technology shifts, organizational and network changes, and new regulatory requirements About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Title/Designation: Machine Learning Engineer - NLP Relevant Experience: 3-6 years Key Skills: Python, NLP, LLM, Prompt Engineering, Statistical modeling, Information Retrieval, Search (Solr/ Elastic Search), Training & Data Analysis, Speech & Video recognition. Qualification: BS/MS/BE/ ME/ B-Tech/ M-Tech degree in Computer Science, IT, Statistics or equivalent with programming experience. Location: Baner, Pune. Must-have Requirements: 1. Python mastery & familiarity with GPU, Docker, Linux, deployment of Python apps. 2. Strong Python tech stack in machine learning in NumPy, sci-kit-learn, pandas. 3. Experience in implementation, training & deployment of ML (Classification, regression, clustering Algorithms) and DL (CNN, RNN, LSTM) models - trade-offs & evaluations. 4. Experience with web development frameworks in python either Django or Flask. 5. Build NLP models for query classification and entity recognition to improve relevance. 6. Expertise in Text mining (probabilistic topic models, word association, mining, ontology learning, semantic similarity. 7. Information Retrieval, Text Processing & NLP techniques 8. Experience with Apache Solr, Keras, Tensorflow, OpenCV 9. Experience in LLM, RAG, Vector database, semantic search, word/ paragraph/ document embedding, ranking, etc 10. Experience in search relevance/ ranking, search personalization, spell correction, entity recognition. 11. Theoretical and practical understanding of machine learning techniques in high-dimensional spaces including linear models, kernels, ensembles, regularization, dimensionality reduction, data mining, and clustering. Knowledge Additional Competitive Skillsets: 1. Experience with Prompt Engineering 2. Strong Python tech stack in machine learning in distributed (PySpark ML, MLLib) 3. Experience in BERT, GPT, LLAMA, MPT, W2V, USE, TFIDF 4. Semantic knowledge Graph 5. Hadoop Ecosystem fluency (MapReduce, HBase, Kafka, etc.) 6. Proficiency in interactive visualizations Perks & Benefits: 1. You will work with the highly talented group of individuals based in Silicon Valley and Pune 2. Best in Industry Salaries 3. Work directly with on product and LEARN a lot 4. Flat organization structure with a start-up culture 5. Exposure to cutting edge technologies and the latest concepts 6. Weekly healthy snacks 7. Team outings & Sprint parties 8. Paid holidays

3+ Years experience in Gen AI, AI Engineering, Solution Architecture Gen AI Specialist strong experience in LLM, AI engineering, AI project deployment & production, Gen AI innovation, Gen AI architecture, Gen AI based use case design, build, deploy & scale at clients. 2 years + Strong experience in AI, ML, Data Science. Solutioning, Architecture, Build, Deploy, ML Ops, Production, Managed Services Top Engineering Colleges Preferred Prefer is resource is from tech startup. Consulting and Tech Firms are also good. Cloud Firms too if we can afford Full Stack Tech Skills i.e. Front End, Middle End, Back End, Custom Apps, Automation will be a big bonus Experience in Solution Architecture for projects, AI Project Delivery hands on,

Key Responsibilities Technical Leadership Architect multi-LLM systems (e.g., Mixture-of-Experts, LLM routing) for cost-performance optimization. Design GPU/TPU-optimized training pipelines (FSDP, DeepSpeed) for billion-parameter models. Cloud-Native AI Development Build multi-cloud GenAI platforms (Azure OpenAI + GCP Vertex AI + AWS Bedrock) with unified MLOps. Implement enterprise security: VPC peering, private model endpoints, and data residency compliance. Innovation & Strategy Pioneer GenAI use cases: Agentic workflows, AI-driven synthetic data generation, real-time fine-tuning. Establish AI governance frameworks: Model cards, drift monitoring, and red-teaming protocols. Cross-Functional Impact Partner with leadership to define AI roadmaps and ROI metrics (e.g., $ saved via AI-driven automation). Preferred candidate profile Education: Bachelors/Masters in CS/AI or equivalent industry experience (5+ years in ML, 2+ in GenAI). Technical Mastery: Languages: Python. Frameworks: Expert-level PyTorch, TensorFlow Extended (TFX), ONNX Runtime. Cloud: Certified in Azure AI Engineer Expert and/or GCP Professional ML Engineer. GenAI Expertise: Shipped production GenAI systems (e.g., 10k+ QPS chatbots, code autocomplete at GitHub Copilot scale). Advanced prompt/response engineering: Self-critique chains, LLM cascades, guardrail-driven generation. Must-Have Experience Cloud AI experience: Azure: Designed solutions with Azure OpenAI, MLOps Pipelines, and Cognitive Search. GCP: Scaled Vertex AI LLM Evaluation, Gemini Multimodal, and TPU v5 Pods. High-Impact Projects: Automation projects to reduce significant $$ costs. Built RAG systems with hybrid search (vector + lexical) and dynamic data hydration. Led AI compliance for regulated industries (healthcare, finance).

Role & responsibilities * Immediate Joiners Please Azure and Azure AI infrastructure Autogen 4 and 6 Semantic Kernel Millions of documents handling Agentic Tools experience Programming Languages & Tools: Python, PyTorch, TensorFlow, Hugging Face, PyPDF, PyOCR, OpenCV Generative AI & LLM Frameworks: LangChain, LangSmith, LlamaIndex, AutoGen, Semantic Kernel Cloud Services: MS Azure AI Services (Azure AI Studio, Azure AI Search, Azure Cosmos DB, Azure Machine Learning) Database & Search Technologies: Chroma DB, Azure, Cosmos DB, FAISS, Pinecone, Qdrant, Milvus Data Engineering & Workflow Automation: ETL Pipelines, data preprocessing, multimodal workflows, large document volume handling (1,0002,000 documents). AI Techniques: RAG systems, Embedding techniques, Agentic AI, Prompt engineering. Visualization Tools: Power BI, Tableau Document/Image Processing: PyPDF, PyOCR, OpenCV Preferred candidate profile

We are seeking a skilled Generative AI Engineer with a strong background in Python to join our dynamic team. In this role, you will integrate backend development expertise with the latest advancements in AI to create impactful solutions. If you excel in a fast-paced environment and enjoy tackling complex challenges, we encourage you to apply. Key Responsibilities: Generative AI Development Develop and implement generative AI models using frameworks like LangChain or Llama-Index. Apply prompt engineering techniques to design effective queries and ensure optimal LLM responses for diverse use cases. Master advanced LLM functionalities, including prompt optimization, hyperparameter tuning, and response caching. Implement Retrieval-Augmented Generation (RAG) workflows by integrating vector databases like Pinecone, Weaviate, Supabase, or PGVector for efficient similarity searches. Work with embeddings and build solutions that leverage similarity search for personalized query resolution. Explore and process multimodal data, including image and video understanding and generation. Integrate observability tools for monitoring and evaluating LLM performance to ensure system reliability. Backend Engineering, Build and maintain scalable backend systems using Python frameworks such as FastAPI, Django, or Flask. Design and implement RESTful APIs for seamless communication between systems and services. Optimize database performance with relational databases (PostgreSQL, MySQL) and integrate vector databases (Pinecone, PGVector, Weaviate, Supabase) for advanced AI workflows. Implement asynchronous programming and adhere to clean code principles formal maintainable, high-quality code. Seamlessly integrate third-party SDKs and APIs, ensuring robust interoperability with external systems. Develop backend pipelines for handling multimodal data processing, and supporting text, image, and video workflows. Manage and schedule background tasks with tools like Celery, cron jobs, or equivalent job queuing systems. Leverage containerization tools such as Docker for efficient and reproducible deployments. Ensure security and scalability of backend systems with adherence to industry best practices.

Hiring AI/ML Developer with hands-on LLM, Generative AI, chatbot development, Python (Pandas, Numpy), data pipelines & LLM tools (ChatGPT, Gemini, Claude). Strong English communication a must.

Job Summary: The Model Validation team is responsible for Model Risk Management for Bread Financial Models and Bank Models for the entire organization. Members of this team work with teams across the business (marketing, pricing, finance, etc.) that build the models to understand and validate the methodology. The Model Validation Analyst, Senior is a key member of the Model Risk Management (MRM) team. Key responsibilities include executing against the overall model risk management framework and assisting in independent validation of models used by the business. Essential Job Functions: Process and Project Management : Conducts model validations independently with minimal supervision. Acts as a mentor and coaches team members, if needed. Maintains a basic functional knowledge of model risk concepts and works with the business units to communicate key guiding principles. Performs end-to-end validations/testing of basic or less complex models/tools. Internal and client facing with oversight, guidance and review from management. Validation/testing: involves identifying the key risks associated with a model, planning a risk-based validation approach and scope. Designs and conducts validation tests, recognizing gaps in model risk management and governance, and drafting a model validation report. Quality Assurance : Checks the models accuracy and demonstrates the model is robust and stable. Assesses potential limitations and evaluates the models behavior over a range of input values. Assesses the impact of assumptions and identifying situations where the model performs poorly or becomes unreliable. Evaluates formal results of analysis performed and draft formal model validation documentation and proposed risk rating assessment. Business Communications and Relationships: Demonstrates professional and proficient verbal and written communication skills when working with internal and external partners. Builds relationships by establishing trust, confidence and credibility with senior leaders, executives, and internal partners. Is proactive, demonstrates a strong work ethic, and shows initiative to build the business in a result driven environment. Utilizes critical thinking skills to help analyze business issues, collaborates with stakeholders to resolve problems, is strategic and flexible when needed, and gains consensus on the best solution. Working Conditions/ Physical Requirements : Normal office environment, some travel may be required. Minimum Qualifications: Bachelor's degree in Engineering, Statistics, Mathematics, Economics or any other related quantitative discipline. Five or more years experience in data analytics or model development/validation is required. Preferred Qualifications : Master's degree in Engineering, Statistics, Mathematics, Economics or any other related quantitative discipline. Six or more years experience in the financial services industry as well as experience in risk management. Other Duties: This job description is illustrative of the types of duties typically performed by this job. It is not intended to be an exhaustive listing of each and every essential function of the job. Because job content may change from time to time, the Company reserves the right to add and/or delete essential functions from this job at any time.

Position Title: Specialist- Data Science Business Title: Engineer II- Data Science We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities: Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: Bachelors degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Strong understanding of machine learning, deep learning and Generative AI concepts. Preferred Skills: Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Computer vision(yolo ), Deep Learning stack, NLP using python Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock OR Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain OR LlamaIndex OR RAG ) Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Expertise in building enterprise grade, secure data ingestion pipelines (ETL Gluejob, Quicksight) for unstructured data including indexing, search, and advance retrieval patterns. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals ( VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud, Mistral, etc.), including multimodal inputs and outputs. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. ** Title/Designation of role are as per Global Team Job profiling. Local Titles are adjusted for understanding of regional candidates applying for job in India. Designations are dependent on years of relevant work experience and performance during interviews.

Immediate to 30days NP Hybrid Mode - 3 days WFO Payments Domain is Mandatory Baner , Pune JD : TP3 Developer Generative AI (7 Years Experience | 12 Years in GenAI) Key Responsibilities: GenAI Application Development: Contribute to the design and development of AI-powered applications leveraging Generative AI models such as LLMs. Assist in integrating these models into real-world business workflows. (1–2 years experience in GenAI-related projects preferred). Prompt Engineering & RAG Pipelines: Support the creation and refinement of prompts and Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain. Implement prompt chaining and retrieval flows under guidance. (1+ years of hands-on exposure ideal). Vector Database Integration: Implement and maintain vector store solutions for semantic search and knowledge retrieval. (1 year experience working with vector DBs preferred). AI Workflow Implementation: Build intelligent agents and multi-step automation pipelines using LLM APIs , chaining tools, and orchestration frameworks. Integrate with back-end systems using Java Spring Boot or Python FastAPI . (1+ years of experience with LLM-based workflows is a plus). Backend & Microservices: Develop robust backend services and REST APIs using Java (Spring Boot) and Python . Collaborate on system architecture, microservices design, and business logic development. (5+ years of backend development experience required, including 2–3 years in microservices/API work). CI/CD & Deployment: 2+ years of experience with DevOps tools like Docker, GitHub Actions, Jenkins, etc Database Support: Work with NoSQL databases (PostgreSQL) to support GenAI pipelines. (3+ years of experience in working with databases). Collaboration & Learning: Work under the guidance of senior engineers and AI architects. Proactively engage in learning new GenAI concepts and contribute to team discussions. (5–7 years total professional experience, with a strong learning and collaborative mindset). Required Qualifications: Technical Skills: Python: Strong programming skills with 5 + years of experience. Java (Spring Boot) – 3+ years of backend/API experience. GenAI Tools: 1–2 years of hands-on experience with Generative AI tools, including OpenAI APIs, Hugging Face Transformers, or similar libraries. LangChain or Equivalent: Exposure to LangChain or similar GenAI workflow tools for 1+ years . Vector Databases: Experience with Chroma, Pinecone, or Weaviate for 1+ years . Backend & Data: APIs & Microservices: At least 3+ years of experience in building backend services and REST APIs. Database Systems: Experience working with both SQL and NoSQL systems for 3–5 years . DevOps & Cloud: Exposure to Docker, CI/CD tools, and at least one cloud platform (AWS/GCP/Azure) for 2–3 years . Regards, Soniya S

Work location: 100% Remote with (Base Location Bangalore, Chennai, Hyderabad, Pune) Mandatory skills:- Python, LLM, JavaScript, Kubernetes and GenAI Background Key Responsibilities: Strong problem-solving skills Generative AI ( Lang chain, Open AI) Advance level of python and JavaScript Python libraries like Fast API , pytest Git React JS Docker, Kubernetes Basic Linux commands Familiar with Azure/GCP Requirement: Need some knowledge of genAI - past 1-2 projects Need to have strong python, they need to know how to deploy the APIs into Kubernetes and have strong hands on docker experience Manage application on Kubernetes, ensure high scalability and availability. Experience in typescript (they will be developing extensions written in typescript) Design develop and deploy scalable python APIs Once deployed, need to debug that issue in the endpoints. Knowledge on LLM models.

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM.

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

Role : AI Engineer Location : Remote Exp : 8 - 10 We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

* If you are 5+ years experienced and Immediate joiner , please apply: https://forms.gle/9n6GFcewkBo9VBNF8 5+ years of experience as a backend or full-stack engineer with a strong backend focus Advanced proficiency in Python Practical experience integrating LLMs (e.g., RAG pipelines, agent frameworks, LangChain, LangGraph, or similar) Background in machine learning engineering is a strong plus Solid understanding of service architecture and production deployment workflows Hands-on LLM integration in production (not academic/chatbot-only experience) Expertise in designing production-grade APIs and backend services Strong knowledge of async workflows, deployment, observability, and performance *This is a software engineering role (not data science, analytics, or annotation)* Description: A complete remote role, you can use your own laptop. 8hrs/day, Mon-Fri required Eligibility: Candidates with 5+ years of relevant professional experience are eligible to apply.Must possess strong communication skills , both written and verbal.Should have proven expertise in the specific field or role being applied for. Timings: 8 hrs/day, Mon-Fri Preferred candidate profile : Immediate Joiners Fully remote, 3 months contract in the starting

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM