218 Rag Jobs - Page 8

Python GEN AI Developer Job Description We are seeking a talented and AIoriented Python Developer If you are passionate about leveraging Generative AI to solve real business problems we would be delighted to discuss this opportunity with you Responsibilities Backend development using Python for our products and customer projects Experience working with Azure Tech stack App Service DevOps AI Studio Redis Develop and optimize RAG RetrievalAugmented Generation applications and build RESTful APIs with Flask or similar python frameworks Optimize code for performance scalability and reliability Troubleshoot and debug technical issues related to backend services Write clear and concise technical documentation and maintain well documented codebase Requirements Must have a minimum of 5 year of backend development experience with proven experience in Python Must have relevant experience developing and deploying backend services using Python frameworks Flask Django Fast API Good understanding of commonly used data structures and algorithms Good understanding software engineering concepts like OOPs Threading and Multiprocessing Caching Must have strong skills in RDBMS SQL and database design Good to Have Experience working with OpenAI APIsother LLMs Experience working with embedding techniques and vector databases Work with Langchain LLMs Large Language Models and OpenAI to create advanced functionalities Experience working with caching systems like Redis Familiarity with tools and libraries like Numpy Pandas PyTorch TensorFlow and Scikitlearn Experience working with chatbots Qualification Bachelors or Masters degree in Computer Science Information Technology or related field Relevant certifications in emerging technologies

Role & responsibilities Translate business goals for Machine Learning to technical requirements, conduct code/design reviews, and drive the technical implementation of web projects throughout the project lifecycle. Collaborate with stakeholders to understand business needs and requirements and convert them into ML requirements and hypothesis. Provide technical guidance and mentorship to team members on ML related tasks. Own and drive specific area(s) of functionality like machine learning implementation for digital commerce including prioritized enhancement stories and development of features for those areas of responsibility. Develop PoCs to validate the feasibility of machine learning implementation Break down complex technical requirements into Epics and Stories for the teams. Explain complex technical concepts of ML to both technical and non-technical stakeholders. Ensure security best practices are integrated into the architecture and design of solutions. Implement and enforce coding quality, standards, best practices and guidelines through code reviews Contribute to a culture of continuous improvement and agile development. Preferred candidate profile Demonstrated experience designing and architecting new technology and platform solutions within the Machine Learning ecosystem Proficient in utilizing Python and well-known machine learning libraries like TensorFlow, PyTorch, and scikit-learn to develop models. Ability to understand complex application data flows and bridge the gap between technical and business app requirement. Skilled in optimizing model performance through effective data preprocessing, cleaning, and feature engineering techniques. Experienced in deploying machine learning models for real-time applications in production environments. Conducted thorough evaluations, selections, and fine-tuning of models to attain high accuracy and efficiency. Excellent written, visual, and oral communication skills, ability to clearly and succinctly communicate with key business partners, including senior executives Excellent collaboration and facilitation skills including the ability to bring together various teams and resources to deliver results Minimum 10 years of software development experience with 5+ years of experience in machine learning implementations leading multiple Machine Learning projects. Data driven approach to problem solving. Understanding of statistical concepts and machine learning algorithms. Experience with data preparation, cleaning, and transformation techniques. Must - RAG, LLM, Python, AI/ML

Job Details: Experience - 6 to 15 yrs Mandatory Skills - Python, Prompt Engineer, NLP, Azure, RAG and GPT4 Location - Mumbai, Pune, Bangalore, Chennai, Hyderabad and Kolkata location. Notice - Immediate to 30 days Job Description Prompt engineers having AI and NLP AI models and Python skills Expertise in Prompt Engineering worked on GPT4 and other variants of GPT model Developing testing and refining AIgenerated text prompts Collaborating with content product and data teams to align prompts with the user needs Continuously improving prompt quality performance and the overall AI prompt generation process Prompt tuning in context Learning Prompt modification

Job Details: Experience - 6 to 12 yrs Mandatory Skills - Machine Learning & NLP, RAG & Text-to-SQL Azure Cloud. Model Optimization & Fine-Tuning, Python (LangChain, LlamaIndex), Data Analytics & SQL Location - Mumbai, Pune, Bangalore, Chennai, Hyderabad and Kolkata location. Notice - Immediate to 30 days Job Summary: Develop and optimize AI models for business-specific use cases. Perform data analysis, feature engineering, and model training. Implement and fine-tune NLP and machine learning algorithms. Evaluate model performance and ensure continuous improvements. Work with engineers to deploy models in production environments.

Role & responsibilities We are looking for an experienced GenAI Developer to join our team and drive innovation in AI-driven applications. The ideal candidate will work with large language models (LLMs), agentic AI, retrieval-augmented generation (RAG), vector databases, and API development to build intelligent and scalable AI-powered solutions. Develop, fine-tune, and deploy LLM-based applications to enhance AI-driven capabilities. Implement Agentic AI workflows for autonomous decision-making and task execution. Design and optimize RAG pipelines to improve contextual retrieval and knowledge grounding. Work with vector databases (e.g., FAISS, Pinecone, Weaviate, pgvector) for efficient data retrieval and embedding storage. Build and integrate RESTful APIs using FastAPI or similar frameworks to enable seamless AI interactions. Optimize AI models for latency, efficiency, and cost-effectiveness in production environments. Integrate multimodal AI capabilities to process and generate content from various media formats. Embed real-time monitoring and analytics to generate insights and proactive recommendations. Ensure security, privacy, and ethical AI practices in all deployments. Preferred candidate profile Experience with LLMs (OpenAI, Anthropic, LLaMA, Mistral, etc.). Hands-on experience in Agentic AI frameworks (LangChain, AutoGPT, CrewAI, Agno (Phidata), etc.). Proficiency in RAG techniques for enhanced AI responses. Expertise in vector databases such as FAISS, Pinecone, ChromaDB, Weaviate, or pgvector. Strong Python programming skills with experience in FastAPI. Knowledge of embedding models (e.g., OpenAI embeddings, Hugging Face, BGE, etc.). Strong understanding of RESTful API integration and development. Perks and benefits

Position Overview: We are seeking a skilled RAG and AI Agentic Developer to join our innovative team. The ideal candidate will have a strong background in artificial intelligence, natural language processing, and software development. This role involves designing, developing, and implementing advanced RAG systems and agent-based solutions that enhance user interaction and content retrieval. Key Responsibilities: Develop and implement Multi-Modal RAG systems that effectively combine retrieval techniques with generative models. Design and create Multi-agentic frameworks that facilitate intelligent, context-aware interactions. Collaborate with data scientists and engineers to refine algorithms and improve the performance of AI models. Conduct thorough testing and validation of developed systems to ensure accuracy and reliability. Stay updated with industry trends and advancements in AI, machine learning, and natural language processing. Prerequisites: Proficiency in programming languages such as Python, Java, C/C++ Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch). Familiarity with natural language processing (NLP) techniques and libraries. Experience with retrieval systems and techniques, including search algorithms and indexing. Proven experience in developing AI or machine learning applications, preferably in a RAG or agent-based context. Familiarity with leading embedding models and techniques such as OpenAIs models, BERT, and Sentence Transformers. Experience in deploying applications on cloud platforms.

Python LLM Engineer (WFH) Experience: 3 - 5 Years Salary: INR 20,00,000-35,00,000 / year Preferred Notice Period : Within 15 days Shift : 10:30 AM to 7:30 PM IST Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients.) Must have skills required : API, Communication, LangChain, LLMs, Pinecone/ Weaviate/ FAISS/ ChromaDB, rag, AWS, Python Good to have skills : CI/CD, multimodal AI, Prompt engineering, Reinforcement Learning, Voice AI Platformance (One of Uplers' Clients) is Looking for: Python LLM 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 We are seeking a highly skilled Python LLM Engineer to join our AI team. The ideal candidate should have deep expertise in large language models (LLMs), experience in building Retrieval-Augmented Generation (RAG) systems, and a strong background in AI-driven applications. This role requires hands-on experience with LangChain, multimodal AI, vector databases, agentic AI, and cloud-based AI infrastructure, particularly AWS and AWS Bedrock. Python will be the primary development language for this role. Key Responsibilities: Design, develop, and optimize applications leveraging LLMs using LangChain and other frameworks. Build and fine-tune Retrieval-Augmented Generation (RAG) based AI systems for efficient information retrieval. Implement and integrate major LLM APIs such as OpenAI, Anthropic, Google Gemini, and Mistral. Develop and optimize AI-driven voice applications and conversational agents using Python. Research and apply the latest advancements in AI, multimodal models, and vector databases. Architect and deploy scalable AI applications using AWS services, including AWS Bedrock. Design and implement vector search solutions using Pinecone, Weaviate, FAISS, or similar technologies. Develop agentic AI products that leverage autonomous decision-making and multi-agent coordination. Write efficient and scalable backend services in Python for AI-powered applications. Develop and optimize AI model fine-tuning and inference pipelines in Python. Implement end-to-end MLOps pipelines for model training, deployment, and monitoring using Python-based tools. Optimize LLM inference for performance and cost efficiency using Python frameworks. Ensure the security, scalability, and reliability of AI systems deployed in cloud environments. Required Skills and Experience: Strong experience with Large Language Models (LLMs) and their APIs (OpenAI, Anthropic, Cohere, Google Gemini, Mistral, etc.). Proficiency in LangChain and experience in developing modular AI pipelines. Deep knowledge of Retrieval-Augmented Generation (RAG) and its implementation. Experience with voice AI technologies, ASR (Automatic Speech Recognition), and TTS (Text-to-Speech), using Python-based frameworks. Familiarity with multimodal AI models (text, image, audio, and video processing) and Python libraries such as OpenCV, PIL, and SpeechRecognition. Hands-on experience with vector databases (Pinecone, Weaviate, FAISS, ChromaDB, etc.). Strong background in developing agentic AI products and autonomous AI workflows. Expertise in Python for AI/ML development, including libraries like TensorFlow, PyTorch, Hugging Face, FastAPI, and LangChain. Experience with AWS cloud services, including AWS Bedrock, Lambda, S3, and API Gateway, with Python-based implementations. Strong understanding of AI infrastructure, model deployment, and cloud scalability. Preferred Qualifications: Experience in reinforcement learning and self-improving AI agents. Exposure to prompt engineering, chain-of-thought prompting, and function calling. Prior experience in building production-grade AI applications in enterprise environments. Familiarity with CI/CD pipelines for AI model deployment and monitoring, using Python-based tools such as DVC, MLflow, and Airflow. Why Join Us? Work with cutting-edge AI technologies and build next-gen AI products. Be part of a highly technical and innovative AI-driven team. Competitive salary, stock options, and benefits. Opportunity to shape the future of AI-driven applications and agentic AI systems. Engagement Type: Direct-hire on the TBD payroll on behalf of platformance Job Type: Permanent Location: Remote Working time: 10:30 AM to 7:30 PM IST Interview Process - The HR team will conduct an initial culture fit assessment before technical rounds. Initial Technical Discussion: Live discussion to assess core competencies. Technical Assignment: Candidates will be given 4 days to complete a hands-on coding test. Final Interview (Optional): Review of the coding test and further technical discussion if required. How to Apply? Easy 3-Step Process: Step 1: Click On Apply! And Register or Login on our portal Step 2: Upload updated Resume & Complete the Screening Form Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Platformance is a Growth Technology Platform that helps brands connect with customers using a pay-per-outcome model. Platformance is a growth technology platform built to help advertisers achieve measurable business outcomes, not just marketing results. Our mission is to simplify the complexities of digital advertising while ensuring every campaign delivers tangible results. About Uplers: Our goal is to make hiring 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!

Mandatory Skills Gen AI, LLM, ML/DL/NLP, RAG, Lang chain, Llama, Hugging Face, Python, Tensorflow, Pytorch, Django, Vector DB, Preferred Skills Azure/AWS, MLOps, Kubernetes, GitHub/Bitbucket, GPT-4, Banking exposure Job Description / Roles & Responsibilities (in Detail) Strong understanding of machine learning and deep learning principles and algorithms. Experience in developing and implementing generative AI models and algorithms. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Ability to work with large datasets and knowledge of data preprocessing techniques. Familiarity with natural language processing (NLP) and computer vision for generative AI applications. Experience in building and deploying generative AI systems in real-world applications. Utilize advanced machine learning techniques to develop and train generative AI models. Collaborate with cross-functional teams to groom and preprocess large datasets for model training. Participating in due diligence activities to understand existing process, tech stack, platforms etc and expand/reuse the existing capabilities. Research and implement cutting-edge algorithms and architectures for generative AI applications. Optimize model performance and scalability for real-time inference and deployment. Stay current with industry trends and advancements in generative AI technology to drive innovation. Experiment with different hyperparameters and model configurations to improve generative AI model quality. Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Provide technical expertise and guidance to support the integration of generative AI solutions into various products and services. Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders • Strong problem-solving and critical thinking skills for complex AI problems. Excellent communication and teamwork abilities to collaborate with cross-functional teams. Proven track record of delivering innovative solutions using generative AI technologies.

Experience in building and deploying generative AI systems in real-world applications. Utilize advanced machine learning techniques to develop and train generative AI models. Collaborate with cross-functional teams to groom and preprocess large datasets for model training. Participating in due diligence activities to understand existing process, tech stack, platforms etc and expand/reuse the existing capabilities. Research and implement cutting-edge algorithms and architectures for generative AI applications. Optimize model performance and scalability for real-time inference and deployment. Stay current with industry trends and advancements in generative AI technology to drive innovation. Experiment with different hyperparameters and model configurations to improve generative AI model quality. Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Provide technical expertise and guidance to support the integration of generative AI solutions into various products and services. Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Strong problem-solving and critical thinking skills for complex AI problems. Excellent communication and teamwork abilities to collaborate with cross-functional teams. Proven track record of delivering innovative solutions using generative AI technologies. Ability to stay updated with the latest advancements in generative AI and adapt to new techniques and methodologies.

Roles and Responsibilities : Design, develop, test, and deploy AIML (Artificial Intelligence Markup Language) solutions using Python programming language. Collaborate with cross-functional teams to integrate AIML models into existing systems and applications. Develop predictive models using regression techniques to solve complex business problems. Troubleshoot issues related to AIML model performance, data quality, and system integration. Job Requirements : 5-7 years of experience in developing AIML-based applications or similar technologies. Strong proficiency in Python programming language with expertise in ML libraries such as scikit-learn or TensorFlow. Experience with building predictive models using regression techniques for solving real-world problems.

Role: Agentic AI Engineer-Healthcare Exp: 4-10 years Location: Hyderabad, India (Onsite) Job Description: Role and Responsibilities: Design Agentic AI Systems for Healthcare Develop frameworks for efficient agent-to-agent communication, dynamic task assignment, and context-aware decision-making, with a focus on improving healthcare operations and patient outcomes. Leverage tools such as LangGraph, AutoGen, and OpenAI Swarm to enhance decision support systems in clinical environments. Implement Retrieval-Augmented Generation (RAG) pipelines and memory management techniques to ground agents in healthcare-specific knowledge (e.g., medical literature, patient records, treatment protocols). Build Versatile AI Capabilities for Healthcare Work with Vision-Language Models (VLMs) to analyze medical imaging (e.g., X-rays, MRIs) alongside text-based reasoning to assist in tasks such as anomaly detection, diagnosis support, and treatment planning. Create autonomous agents capable of executing complex healthcare tasks, such as data analysis, patient record management, or clinical decision support, triggered by real-time health data or environmental factors. Optimize AI for Real-World Healthcare Impact Deploy scalable AI workflows in cloud environments (AWS/GCP), ensuring robust performance for time-sensitive healthcare applications, such as real-time patient monitoring or critical care support. Implement observability tools like LangSmith to track agent behavior, identify anomalies, debug failures, and enhance the reliability and safety of AI systems in healthcare settings. Human-in-the-Loop Intelligence in Healthcare Design mechanisms to integrate human oversight into AI systems, ensuring that healthcare professionals can intervene when necessary. Implement features like bias testing, fallback protocols, and explainability to balance autonomy with safety and ethical considerations. Leverage tools like LangSmith for real-time monitoring and debugging of AI agents to optimize performance and reduce risk in clinical and healthcare-related environments. Proven AI Development Experience: Demonstrate a portfolio of projects highlighting expertise in multi-agent systems, RAG implementations, and decision automation, specifically applied to healthcare (GitHub/Kaggle links required). Proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow, Hugging Face) with a focus on healthcare applications. Technology/Skills Required: Experience with cloud platforms (AWS, GCP) and vector databases (Pinecone, Milvus) in healthcare contexts, managing patient data, clinical workflows, and medical knowledge. Familiarity with agentic frameworks (LangChain, CrewAI) and large language model orchestration to enhance clinical decision support systems. Interested candidate can drop the CV at saepoori@theaesgroup.com or notify+JzW2LVeiJVHx@atsapplications.com

Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python. Demonstrable competency in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests. Must have experience in dealing with outliers, denoising data and handling the impact of pandemic like situations. Should be able to perform EDA of raw data & feature engineering wherever applicable. Demonstrable competency in Data Visualisation using the Python/R Data Science Stack. Should be able to leverage cloud platforms for training and deploying large scale solutions. Should be able to train and evaluate ML model using various machine learning and deep learning algorithm. • Retrain and maintain model accuracy in deployment. Should be able to package & deploy large scale models on on-premise systems using multiple approaches including docker. Should be able to take complete ownership of the assigned project. Experience of working in Agile environments • Well versed with JIRA or equivalent project tracking tool. Competencies /Skills Knowledge of cloud platforms (AWS, Azure and GCP). Exposure to No SQL databases (MongoDB, Cassandra, Cosmos DB, HBase). Forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts). An experience with large data sets and distributed computing (Hive/Hadoop/Spark). Transfer learning using state of art models in different spaces vision, NLP and speech. - Integration with external services and Cloud API. Working with data annotation approaches and tools for text, images and videos

Hello, Urgent job openings for Data Science @ GlobalData(Hyd). Looking for candidates with experience in Gen AI, LLM, RAG frameworks Job Description given below please go through to understand requirement. if requirement is matching to your profile share your updated resume @ mail id (m.salim@globaldata.com). Mention Subject Line :- Applying for Data Science(Gen AI/LLM)@ GlobalData(Hyd) Share your details in the mail :- Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Current CTC : Expected CTC : Notice Period : Current Location/willing to relocate to Hyd? : Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana-500081. Position Title: Data Scientist Location: Hyderabad, India Company Overview GlobalData is a leading Data & Analytics company, helping thousands of companies, government organizations, and industry professionals make faster, more informed decisions. Our mission is to help our clients decode the future, ensuring they stay ahead of the competition through innovative and actionable intelligence. We leverage unique data, expert analysis, and cutting-edge technology to provide a platform with unrivalled capabilities. Our solutions span multiple industries, with a strong focus on Artificial Intelligence, Generative AI, and Advanced Data Science applications to drive insights and decision-making. Know more about us: https://www.globaldata.com/ Follow us on LinkedIn: https://www.linkedin.com/company/gd-research-center-pvt-ltd Roles and Responsibilities :- As a Data Scientist in the Financial Markets team, you will be responsible for developing cutting-edge AI-driven models and insights for financial markets clients such as Hedge Funds, Private Equity firms, Investment Banks, and Asset Managers. The models you build will leverage both traditional and alternative data sources, to enhance investment strategies. You will work closely with experts in financial markets to:- Develop and deploy AI-driven analytics utilizing proprietary GlobalData datasets to extract actionable insights. Design, fine-tune, and deploy Generative AI models (LLMs, diffusion models, AI agents) for financial market analysis, report generation, and predictive modeling. Implement Retrieval-Augmented Generation (RAG) frameworks to enhance financial document processing and knowledge extraction. Create AI-powered financial agents for automated decision-making and real-time analysis Build and optimize machine learning models for forecasting, scorecards, and predictive analytics. Conduct research on state-of-the-art Generative AI and machine learning techniques, integrating them into financial modelling use cases. Analyze alternative datasets, including textual, sentiment, and transactional data, to generate high-value investment insights. Present findings and Proof-of-Concept (PoC) solutions to senior management, stakeholders, and cross-functional teams. Develop technical documentation and presentation decks to showcase methodologies and outcomes. Job Qualifications Academic Qualification: Bachelor's/Masters degree in Data Science, Computer Science, AI, or a related field. Strong expertise in machine learning and artificial intelligence, particularly in Generative AI applications, NLP, and predictive modelling. Hands-on experience with Large Language Models (LLMs) such as OpenAI GPT, Claude, Gemini, or open-source alternatives (Llama, Mistral, Qwen, etc.). Experience in fine-tuning models, prompt engineering, and AI-driven automation. Proficiency in Retrieval-Augmented Generation (RAG) techniques for information retrieval and knowledge-based AI applications. Solid understanding of traditional analytics techniques, including data modeling, forecasting, and risk scorecards. Proficiency in Python, TensorFlow/PyTorch, LangChain, and Vector Databases. Experience with cloud platforms (AWS, Azure, GCP) for AI/ML deployments. Familiarity with financial markets is preferred but not essential. Ability to translate research into scalable AI-driven financial solutions. Employment Type: Full-time Location: Hyderabad, India Join us at GlobalData and be at the forefront of AI-powered financial analytics! Thanks & Regards, Salim (Human Resources)

Key Responsibilities: Build and optimize ML-based product pipelines and data-driven solutions Develop custom data models and algorithms to drive business insights Handle the deployment of ML models with awareness of optimized server configurations Enhance data collection and processing procedures to improve model performance Perform data mining and cleansing using state-of-the-art methods Conduct ad-hoc analysis and present insights in a clear, actionable manner Assess the accuracy and effectiveness of new data sources and techniques Collaborate with cross-functional teams to implement models and monitor outcomes Develop tools and processes to monitor model performance and data accuracy Build scalable pipelines using Large Language Models (LLMs) Fine-tune models like T5, LLaMA, and YOLO for specific use cases Requirements: 3+ years of experience in data science, machine learning, and analytics Proficiency in Python and statistical computing languages Strong expertise in ML model deployment and product platform architecture Expertise in fundamental data science, machine learning, and deep learning using Python Sound knowledge of NLP and Computer Vision Experience in building scalable AI applications with a good understanding of High-Level Design (HLD) Strong grasp of data structures and algorithms Experience with Retrieval-Augmented Generation (RAG) and Agentic workflows Experience in cloud platforms, preferably AWS (Redshift, S3, Lambda) Experience with Elasticsearch, SQL, and REST APIs Hands-on experience with big data tools such as Hadoop, Spark, and Hive Deep understanding of machine learning algorithms (regression, clustering, decision trees, neural networks, etc.) Strong problem-solving skills and the ability to translate data insights into business impact Excellent communication and collaboration skills to work across teams

Infosys Generative AI Developer – India Position Overview: The Generative AI Developer is responsible for designing and developing Gen AI based solutions across different modal. This role involves leveraging the tools, frameworks and models, fine tuning of model, testing and deployment of the Gen AI solution. Key Responsibilities: Understand the architecture and design of Gen AI solutions, including data ingestion, processing, modeling, and deployment. Evaluate the framework, tools and models for building the solution Build and test Gen AI component/solution, POCs using framework and tools like Langchain, Llama Index, RAGAs etc. Experience in Prompt Engineering techniques, databases including SQL, Vector and Graph DB. Collaborate with cross-functional teams to understand requirements and develop AI / Gen AI solutions. Deployment of the AI/Gen AI solutions on different environment using AIOPs pipelines. Knowledge of Responsible AI principles and ways to implement it in solution, testing the solution against the defined principles. Experience in fine tuning the open-source model using various tuning techniques. Requires Skills: Strong programming skills in languages such as Python, and proficiency in LLM, RAG, Prompt Engineering, Fine Tuning, Vector DB, Embeddings, GPT 3.5, GPT 4, Open AI, Gemini, Zero shot, One shot and Few shot prompting, ReAct Prompting, Chain Of Thought. Excellent analytical and problem-solving skills. Strong communication skills to collaborate with cross-functional teams. Preferred Skills: Experience with natural language processing (NLP) for text generation projects. Familiarity with cloud platforms like AWS, Google Cloud, or Azure. Knowledge of ethical AI practices and considerations.

What You'll Do: Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale. Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn. Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS. Collaborate with data engineering teams to ensure seamless integration of AI models into production systems. Perform advanced SQL analytics to extract actionable insights from structured datasets. Stay up-to-date with the latest advancements in NLP and machine learning techniques. Mentor junior data scientists and foster a culture of technical excellence within the team. Communicate complex technical concepts to non-technical stakeholders and customers. Partner with customers to understand their needs and translate them into technical solutions. What Were Looking For: Minimum 5 years of experience in data science, with a focus on NLP and unstructured data processing. Proven track record of launching NLP-driven products to live users. Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn. Experience with Transformer-based models (e.g., BERT, GPT). Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products. Familiarity with data engineering pipelines and best practices. Proficiency in SQL for analytics and data manipulation. Excellent problem-solving skills and ability to work with large-scale datasets. Strong interpersonal and communication skills, with the ability to mentor team members and interact with customers effectively. Preferred Skills: Knowledge of MLOps practices for model deployment and monitoring. Familiarity with tools like Airflow, Spark, or similar data processing frameworks. Background in working with customer-facing applications and APIs.

Primary Skills (Mandatory): Artificial Intelligence Machine Learning Proficiency in programming languages: Java, C, Python, R, or equivalent Secondary Skills (Good to have): Experience with Generative AI models and frameworks such as Open Ai's GPT family of models, open-source LLMs, and Lang Chain Must Have Bachelors degree in data science statistics mathematics computer science or engineering discipline or equivalent experience 3 years of work educational experience leading development of Machine Learning prompt engineering data analysis and Artificial Intelligence 1 years of experience with product on grade design deployment and implementation of AI models and systems contributing fresh ideas and approaches to the teams efforts Experience with one or more general purpose programming languages including but not limited to Java CC Python R or equivalent Experience and knowledge in designing building and deploying multi layered application Infrastructure involving On-premises AWS Cloud platform using services Bedrock LLM models You enjoy working with people and can put yourself in other peoples shoes You're not afraid to ask for help when you need it or help teammates when they need a boost Embraces diverse people thinking and styles Consistently makes safety and security of self and others the priority Experience with one or more of the following Natural Language Processing sentiment analysis classification pattern recognition Consistently makes safety and security of self and others the priority If interested, please apply on below link/share resume on hr@awone.ai with below details: Total Experience: Current CTC: Expected CTC: Current Location: Preferred Location:

Job Title: Senior Technical Expert - OpenAI & Azure AI Solutions Location: India Experience Required: 8-15 years Job Description We are seeking a highly skilled Senior Technical Expert with extensive experience in OpenAI and Azure AI technologies to join our team. The ideal candidate will have a strong background in AI development, cloud solutions, and hands-on expertise with cutting-edge AI tools and platforms. This role involves designing, implementing, and optimizing AI-based solutions to meet business needs, with a focus on GPT-based models and Azure AI capabilities. Key Responsibilities 1.AI Solution Development: Develop, optimize, and implement AI-powered solutions using GPT models like Azure GPT, ChatGPT, and advanced tools for token cost optimization. Perform performance tuning on GPT models to enhance efficiency and accuracy. 2.Azure AI Expertise: Design and manage solutions using Azure AI Search and VectorDB technologies, including Chroma, ElasticSearch, and other relevant platforms. Leverage Azure cloud services for implementing scalable and secure AI solutions. 3.AI Engineering and Prompt Optimization: Implement prompt engineering techniques to maximize the output efficiency of AI models. Build and refine summarization models to extract concise and accurate information. 4.Programming & Automation: Utilize Python to create and maintain AI pipelines, automation scripts, and performance tracking tools. 5.Collaborative Development: Work with cross-functional teams, including data engineering, front-end, and operations teams, to build end-to-end AI-powered solutions. 6.Integration & Deployment: Use Kubernetes and Helm Charts for seamless deployment of AI models. Collaborate with DevOps teams to ensure smooth integration of AI tools into the existing ecosystem. Mandatory Technical Skills Azure AI Search and VectorDB solutions like Chroma, ElasticSearch. Expertise in GPT models, including Azure GPT, ChatGPT, and related token cost optimization strategies. Python programming for AI model implementation and process automation. Advanced prompt engineering and performance tuning for AI models. Preferred Secondary Skills Proficiency in ReactJS for front-end development. Experience with Azure Synapse and Azure Data Bricks for data processing and analytics. Strong understanding of ElasticSearch for data retrieval optimization. Knowledge of Kubernetes and Helm Charts for application deployment. Required Soft Skills Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Commitment to meeting deadlines and delivering quality solutions. Application Process If you are passionate about AI and Azure technologies and meet the requirements listed above, we encourage you to apply. We are looking for individuals who can contribute to our vision of leveraging advanced AI to solve complex business challenges.

Joining Capco means joining an organisation that is committed to an inclusive working environment where youre encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can. We believe that everyone brings something different to the table – so we’d love to know what makes you different. We are/have: Experts in banking and payments, capital markets and wealth and asset management Deep knowledge in financial services offering, including e.g. Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture Machine Learning Engineer Responsibilities: We are particularly interested in the following key skills sets. PySpark (Optimization the code) – To be proficient in py-spark optimization a candidate should be familiar with serval key techniques and best practice. Efficient Data Handling - Expertise in using efficient file formats like Parquet and ORC. - Ability to partition and optimize data storage Python Proficiency – Strong Understanding of Python- Proficiency in Python programming, including object-oriented programming, data structures, and standard libraries. Experience with Data Processing Libraries:- Hands-on experience with libraries such as Pandas, NumPy, and SQLAlchemy. Core Concept Understanding of Machine Learning Algorithms Candidate having 5-8 year of Experience. Additional Skills Problem-Solving Abilities:- Strong analytical and problem-solving skills to diagnose performance issues and implement optimization strategies. Communication Skills:- Effective communication skills to collaborate with cross-functional teams and articulate technical solutions. This combination of Python proficiency, PySpark optimization skills, and relevant experience will ensure that the candidate can effectively optimize and manage large-scale data processing tasks.

About the Role I'm a busy professional running multiple projects simultaneously and looking for a reliable, tech-savvy all-rounder to assist with day-to-day tasks, code development, AI research, and holding peers accountable. This is a full-time, mid-senior-level contract role, with a 1-month trial period. If were a good fit, Ill extend the contract for a full year. If projects you work on are profitable, we will give you bonuses as well. Your output = your bonuses. The more money we make, the more money we pay you. Role & responsibilities Assistant & Accountability: Provide general support for my ongoing projects, hold me accountable for deadlines, and help keep me focused on critical tasks. We will be on call together for most of the day working together. Development & Coding: Build front-end and back-end solutions using languages like Python, JavaScript, React, HTML/CSS, Node.js , and work with databases. Develop web and mobile applications, troubleshoot bugs, and manage code deployments. AI Research & Implementation: Work on AI/ML projects , including building or training local models, implementing Retrieval-Augmented Generation (RAG), and using AI tools (e.g., Cursor, ChatGPT). Stay up-to-date with new and emerging technologies. Teaching & Tutoring: Research technical topics as needed and help me learn those subjects. When youre not familiar with a subject, figure it out independently and provide guidance. Flexible Collaboration: Collaborate with me over phone or video calls throughout the day. Your schedule will align with US business hours (M-F), but may shift slightly day-to-day based on my workload. For example, might need you 4 hours in the morning and 4 hours in the evening. Your total work day will come out to 8 hours. Preferred candidate profile Experience: Minimum 2 years of professional coding or development experience. Solid familiarity with full-stack development (front-end, back-end, databases). AI & Tool Proficiency: Knowledge of AI/ML, large language models, or willingness to learn new AI tools quickly. Self-Starter: Ability to figure things out even if its your first time encountering a concept or technology. Communication & Accountability: Clear spoken and written English, confidence to hold me accountable, and proactively communicate any issues or ideas. Equipment: Must have your own reliable computer/laptop and internet connection. Flexibility: Able to dedicate 8 hours/day during US business hours, Monday to Friday. Perks and benefits 100% remote 15 Vacation Days per year. 10 Sick Days per year. National Indian Holidays will be given off. (Republic Day, Eid al-Fitr, Ambedkar Jayanti, Eid al-Adha, Indian Independence Day, Mawlid, Gandhi Jayanti, Diwali, Christmas) Why Join? Professional Growth: Youll get exposure to a wide range of projects, from coding and AI model training to project management. Autonomy & Creativity: I value independent problem-solving and creativityif you can find a better solution, go for it. Bonus Opportunities: Potential performance-based bonuses for overtime or successful project outcomes. Time Off: After the 1-month trial period, you will receive 15 vacation days and 10 sick days per year. Remote-First Culture: 100% remote, but with close collaboration. Relevant software licenses or tools can be reimbursed if needed. Additional Details This is a contractor position . No employee benefits are provided beyond whats stated (vacation and sick days). After successful completion of the 1-month trial , the contract may be renewed for up to a year.

Role & responsibilities : We are looking for a candidate with a B Tech in Computer Science, Software Engineering, or a related field, and strong experience in the following: Technical Skills: Solid Python coding, experience with APIs, and writing prompts for large language models (LLMs). Communication: Ability to explain complex technical concepts to non-technical audiences and collaborate with cross-functional teams. Bonus Points: Experience with Retrieval-Augmented Generation (RAG), Googles Vertex AI, and the ad serving industry.

Python Tensorflow/Pytorch Transformer Design, e.g., BERT, Discriminative, Generative LLM Prompt Engineering, Chain-of-Thought LLM Functions, Agents, ReAct Agents Language Embeddings, Vector Stores, RAG

Job Description: Graduate degree in a quantitative field (CS, statistics, applied mathematics, machine learning, or related discipline) • Good programming skills in Python with strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, etc. • Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain) • Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning • Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models • Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc. • Predictive modelling experience in Python (Time Series/ Multivariable/ Causal) • Experience applying various machine learning techniques and understanding the key parameters that affect their performance • Experience of building systems that capture and utilize large data sets to quantify performance via metrics or KPIs • Excellent verbal and written communication • Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects. Roles & Responsibilities: • Lead a team of Data Engineers, Analysts and Data scientists to carry out following activities: • Connect with internal / external POC to understand the business requirements • Coordinate with right POC to gather all relevant data artifacts, anecdotes, and hypothesis • Create project plan and sprints for milestones / deliverables • Spin VM, create and optimize clusters for Data Science workflows • Create data pipelines to ingest data effectively • Assure the quality of data with proactive checks and resolve the gaps • Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms • Research whether similar solutions have been already developed before building ML models • Create optimized data models to query relevant data efficiently • Run relevant ML / DL algorithms for business goal seek • Optimize and validate these ML / DL models to scale • Create light applications, simulators, and scenario builders to help business consume the end outputs • Create test cases and test the codes pre-production for possible bugs and resolve these bugs proactively • Integrate and operationalize the models in client ecosystem • Document project artifacts and log failures and exceptions. • Measure, a

Job Description Role & Responsibilities: Develop and deploy Generative AI solutions using LLMs and related technologies. Fine-tune large language models (LLM fine-tuning) to improve performance. Work on Retrieval-Augmented Generation (RAG) methodologies to optimize AI outputs. Implement Prompt Engineering techniques for effective model interaction. Utilize Python, TensorFlow, and PyTorch for AI model development and optimization. Work with cloud platforms like Azure, AWS, or GCP to deploy and scale AI models. Collaborate with cross-functional teams to integrate AI solutions into business applications. Maintain AI/ML pipelines and workflows using LLMOps best practices. Preferred Candidate Profile: 5 to 8 years of experience in AI, ML, or Data Science roles. 2 to 3 years of experience specifically in GenAI solution development, LLM fine-tuning, RAG, or LLMOps. Strong background in Natural Language Processing (NLP) and Transformer models. Hands-on experience with cloud-based AI solutions (Azure, AWS, GCP). Excellent problem-solving skills and ability to work in a fast-paced environment. Perks and Benefits: Competitive salary and performance-based incentives. Work with cutting-edge AI technologies and industry leaders. Opportunities for career growth and learning. Health insurance and other standard benefits.

Chat Bot / Full Stack Developer Role: Experience in chatbot development using RAGs, frameworks like Dialogflow, or similar. Understanding of AI/ML integration in applications. Familiarity with CI/CD pipelines and DevOps practices. Key Responsibilities: Design, develop, and maintain robust, scalable full-stack applications. Write clean, efficient, and well-documented code using JavaScript and Python. Develop and manage APIs for seamless integration with front-end and third-party services. Collaborate with cross-functional teams to define, design, and deliver new features. Deploy, manage, and monitor applications on cloud platforms (preferably GCP or Azure). Troubleshoot, debug, and upgrade existing applications to ensure optimal performance. Required Skills: Strong proficiency in JavaScript and Python. Hands-on experience with API development and integration (RESTful or GraphQL). Solid understanding of front-end technologies such as HTML, CSS, and modern JavaScript frameworks (e.g., React, Angular, or Vue.js) Proficient in working with databases (SQL and NoSQL). Experience with any cloud platform, preferably Google Cloud Platform (GCP) or Microsoft Azure Knowledge of version control systems like Git.