880 Nlp Jobs - Page 22

3+ Years of experience in Data Scientists with Python, Tensorflow and Pytorch. Experience in AI techniques (e.g., machine learning, predictive analytics. optimization, semantic analysis, time-series analysis) to real-world problems

Machine Learning Engineer About Caliper: Caliper is an AI-enabled, comprehensive value-based care (VBC) risk analytics suite designed to provide affordable, accessible and actionable insights. Our solution empowers Community Care Providers to thrive in the VBC landscape, ensuring improved patient outcomes, operational efficiency and financial success. Position: Machine Learning Engineer (with NLP & AWS Experience) We are hiring a Machine Learning Engineer who brings strong foundational skills across ML workflows, with a working focus on Natural Language Processing (NLP) and experience deploying ML systems on AWS. This role is ideal for someone who is technically versatilecomfortable working across diverse machine learning problems including NLP, classification, forecasting, embeddings, and recommender systemswhile being hands-on with modern ML tooling, model lifecycle management, and cloud infrastructure. Key Responsibilities: Build and deploy ML models for a variety of use cases such as classification, prediction, NLP tasks, and recommender systems. Design, implement, and maintain end-to-end ML pipelines, including data preprocessing, model training, validation, and deployment. Apply NLP techniques where applicable (e.g., sentiment analysis, NER, document parsing, embeddings). Leverage AWS services (e.g., SageMaker, Lambda, S3, Bedrock, Comprehend) to deploy and scale ML solutions in production. Participate in model evaluation, monitoring, and retraining workflows. Collaborate with product, data, and engineering teams to understand requirements and translate them into ML-driven solutions. Support both experimental research and production-grade deployment workstreams. Required Skills & Experience: 4+ years of experience as a Machine Learning Engineer or Applied Scientist. Strong hands-on experience in core ML techniques: regression, classification, clustering, tree-based models, embeddings, etc. Solid Python programming skills and experience with libraries like Scikit-learn, PyTorch or TensorFlow, Pandas, NumPy. Exposure to NLP models and libraries (e.g., Hugging Face Transformers, spaCy, NLTK) with practical application experience. Experience deploying models using AWS cloud infrastructure, particularly SageMaker, Comprehend, Lambda, or Bedrock. Comfortable with model evaluation, metrics (e.g., accuracy, ROC-AUC, F1), and debugging pipelines in production. Experience working with version control, CI/CD tools, and basic MLOps practices. Nice to Have: Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector databases (e.g., FAISS, Milvus, Weaviate). Knowledge of prompt engineering or foundation model tuning (e.g., OpenAI, Claude, Bedrock). Experience with time series models, anomaly detection, or customer intelligence use cases. Exposure to Docker, Kubernetes, or Airflow for workflow orchestration. What We are Looking For: A generalist ML engineer who can adapt to evolving problem statements across NLP, tabular, or other ML use cases. Someone who balances code quality and experimentation, and can own model delivery end-to-end. A collaborative team player who is curious, self-driven, and excited to build in a fast-paced environment. Compensation will be commensurate with experience. If you are interested, please send your application to jobs@precognitas.com and For more information about our work, visit www.caliper.care

Immediate Hiring !!!!! We are conducting a scheduled Drive @ Chennai Office Experience - 3-17 years Designation - Senior Engineer/Module Leader/Technical Leader/Architect Location - Chennai Interview Mode - Face to Face - 12th July - Saturday @ Chennai Office Leading a team of data scientists with roadmap and vision. Planning data projects. Building analytic systems and predictive models. Managing a team of data scientists, and machine learning engineers. Involve in pre-sales and building proposals. Apply strong expertise in machine-learning, deep learning, NLP, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services Responsibilities Lead data mining and collection procedures Ensure data quality and integrity Interpret and analyze data problems Conceive, plan and prioritize data projects Build analytic systems and predictive models Test performance of data-driven products Visualize data and create reports Align data projects with organizational goal Understands business problems and designs end-to-end analytics use cases Develops complex models and algorithms that drive innovation throughout the organization. This may include improving on-time performance, network planning, etc., Conducts advanced statistical analysis to provide actionable insights, identify trends, and measure performance Collaborates with model developers to implement and deploy scalable solutions Provides thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders Qualification & Other Attributes: 3-15 years experience in a statistical and/or data science role Proven experience as a Data Scientist or similar role Strong organizational and leadership skills Degree in Computer Science, Data Science, Mathematics, or similar field Deep knowledge and experience in Large Language Models (LLM) Strong knowledge on Generative AI Deep knowledge of machine learning, statistics, optimization or related field Experience in Linear and non-Linear Regression models including Multiple and Multivariate Experience in Classification models including Ensemble techniques Experience in Unsupervised models including K-Means, DBSCAN, LOF Rich Experience in NLP techniques Experience in Deep Learning techniques like CNN, RNN, GAN, Markov etc. (Any 3 or 4) Strong real-time experience with atleast one of the machine language softwares like R, Python, Matlab is mandatory Good knowledge in Explainable AI Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) Excellent written and verbal communication skills along with strong desire to work in cross functional teams Attitude to thrive in a fun, fast-paced start-up like environment Additional advantage of having experience in semi, unstructured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc Optional: programming in C, C++, Java, .Net Interested candidates can share their updated resume at megha.chattopadhyay@aspiresys.com

We are seeking a highly skilled AI Engineer with a strong foundation in backend development and cloud technologies, particularly within the Microsoft ecosystem. The ideal candidate will have experience in AI/ML domains such as Natural Language Processing (NLP), Computer Vision, Video Processing, Text Extraction, Dubbing, and Translation, and be proficient in building scalable, production-ready systems using modern cloud platforms. Responsibilities : - Design and develop advanced backend components, data systems, pipelines, and microservices for AI-driven applications. - Engineer and implement production-ready, cloud-native infrastructures (or on-premise), from databases to serverless architectures. - Integrate and deploy AI models and services, including NLP, computer vision, and video processing solutions. - Utilize Azure AI Services, Cognitive Services, and other cloud-native AI tools to build intelligent applications. - Collaborate with cross-functional teams to deliver scalable and maintainable AI solutions. - Follow best practices in software engineering, including CI/CD, testing, and documentation. Requirements : - Proven experience as a senior software or data engineer, with a strong backend focus. - Advanced proficiency in Python, demonstrated through real-world projects. - Practical experience with backend technologies and frameworks. - Strong knowledge of CI/CD frameworks and DevOps practices. - Expertise in Microsoft Azure, including Azure AI Services and Cognitive Services. - Familiarity with AWS, AWS AI Services, and Google Cloud Platform (GCP) is a plus. - Experience with Docker and Kubernetes for containerization and orchestration. - AI/ML experience, especially in NLP, Computer Vision, Video Processing, Text Extraction, Dubbing, and Translation, is highly desirable. - Data engineering experience is a strong advantage.

Job Title: AI/ML Engineer GenAI & MLOps Experience: 2 to 5 Years Location: Hyderabad (Work From Office) Employment Type: Full-Time About the Role: We are looking for a passionate and skilled AI/ML Engineer with experience in Generative AI, Machine Learning Operations (MLOps), and core AI/ML development. You will play a key role in designing, developing, and deploying intelligent systems and scalable ML pipelines in a production environment. Key Responsibilities: Design and implement machine learning models, especially in NLP, computer vision, and generative AI use cases (LLMs, diffusion models, etc.) Fine-tune and deploy transformer-based models (e.g., BERT, GPT, LLaMA) using open-source and commercial frameworks. Build and automate ML pipelines using MLOps tools such as MLflow, Kubeflow, or SageMaker. Work with cross-functional teams to deploy models to production with CI/CD and monitoring. Manage datasets, labeling strategies, and data versioning using tools like DVC or Weights & Biases. Conduct experiments, model evaluation, and performance tuning. Collaborate with backend engineers to integrate AI models into applications or APIs. Required Skills & Qualifications: 2–5 years of hands-on experience in AI/ML model development and deployment Strong knowledge of Python and ML libraries like TensorFlow, PyTorch, scikit-learn Experience with GenAI frameworks (e.g., Hugging Face Transformers, LangChain, OpenAI API) Exposure to MLOps practices and tools: Docker, MLflow, Airflow, FastAPI, Kubernetes, etc. Familiarity with cloud platforms (AWS, GCP, or Azure) Understanding of LLM fine-tuning, embeddings, vector stores, and prompt engineering Bachelor's or Master’s degree in Computer Science, AI, Data Science, or related field Good to Have: Knowledge of RAG (Retrieval-Augmented Generation) Experience with secure model deployment (RBAC, endpoint auth) Contributions to open-source AI/ML projects

Greetings from Euclid Innovations!!! We have Python with AIML with one of our client in Hyderabad. Position : Python AIML Experience : 8+ Years Location : Hyderabad/Bangalore Work Mode: Hybrid Interview Mode: Client Round F2F-In Hyderabad Notice Period: Immediate to 20 Days Max Role Overview: We are looking for a skilled Python Developer with strong Artificial Intelligence (AI) expertise to join our growing technology team. The ideal candidate will be responsible for developing AI-powered solutions using Python and collaborating with data scientists and product teams to bring intelligent features to our applications. Key Responsibilities: Develop and maintain AI-enabled applications using Python. Design and implement machine learning and deep learning models for tasks like classification, prediction, NLP, or computer vision. Collaborate with data scientists to prepare data pipelines and automate model training and evaluation. Develop APIs or microservices to expose AI models and integrate them into front-end systems. Perform data preprocessing, feature engineering, and model validation. Continuously optimize model performance and monitor outputs in production environments. Stay up to date with emerging AI tools, libraries, and trends. Required Skills: Strong knowledge of Python and experience with libraries such as NumPy , Pandas , Scikit-learn , and TensorFlow or PyTorch . Solid understanding of machine learning algorithms , data structures, and OOP principles. Experience in building and deploying ML models in production. Familiarity with RESTful API development using Flask or FastAPI. Experience working with structured and unstructured data . Version control using Git and basic knowledge of DevOps tools. Preferred Qualifications: Bachelors/Masters degree in Computer Science, Engineering, AI, or related field. Exposure to NLP, computer vision , or time series forecasting. Familiarity with cloud platforms like AWS, GCP, or Azure. Basic knowledge of Docker , Kubernetes , or MLflow is a plus. Nice to Have: Hands-on experience with Generative AI or LLMs . Contributions to AI research or open-source AI projects. Experience with AI model monitoring and performance tuning. if interested share your profile to aruna.c@euclidinnovations.com

Role & responsibilities: Outline the day-to-day responsibilities for this role. Preferred candidate profile: Specify required role expertise, previous job experience, or relevant certifications.

We are seeking an experienced Generative AI Engineer to design, develop, and optimize AI models for text, image, video, and audio generation. The ideal candidate should have expertise in deep learning, natural language processing (NLP), transformer models (GPT, BERT, LLaMA, etc.), and multimodal AI. This role involves working with large-scale datasets, fine-tuning AI models, and deploying scalable AI solutions. Key Responsibilities: Design, develop, and fine-tune Generative AI models for text, image, video, and audio synthesis. Work with transformer architectures such as GPT, BERT, T5, Stable Diffusion, and CLIP. Implement and optimize LLMs (Large Language Models) using Hugging Face, OpenAI, or custom architectures. Develop AI-powered chatbots, virtual assistants, and content generation tools. Work with diffusion models, GANs (Generative Adversarial Networks), and VAEs (Variational Autoencoders) for creative AI applications. Optimize AI models for performance, inference speed, and cost efficiency in cloud or edge environments. Deploy AI models using TensorFlow, PyTorch, ONNX, and MLflow on AWS, Azure, or GCP. Work with vector databases (FAISS, Pinecone, Weaviate) and embedding-based search techniques. Fine-tune models using RLHF (Reinforcement Learning with Human Feedback) for better alignment. Collaborate with data scientists, ML engineers, and product teams to integrate AI capabilities into applications. Ensure AI model security, bias mitigation, and ethical AI practices. Stay updated with the latest advancements in Generative AI, foundation models, and prompt engineering. Required Skills & Qualifications: 6+ years of experience in AI, machine learning, and deep learning. Strong expertise in Generative AI models and transformer architectures. Proficiency in Python, TensorFlow, PyTorch, and Hugging Face libraries. Experience with NLP, text embeddings, and retrieval-augmented generation (RAG). Knowledge of vector databases, embeddings, and scalable model serving (FastAPI, Triton, Ray Serve). Experience with GPU acceleration (CUDA, TensorRT, ONNX optimization) for AI workloads. Familiarity with cloud-based AI services like AWS Bedrock, Azure OpenAI, or Google Vertex AI. Strong understanding of data preprocessing, annotation, and model evaluation metrics. Experience working with large-scale datasets and distributed training techniques. Strong problem-solving skills and ability to work in Agile/DevOps environments. Preferred Qualifications: Experience with multimodal AI (text-to-image, text-to-video, speech synthesis). Knowledge of RLHF, prompt engineering, and AI-assisted code generation. Certifications in Machine Learning, AI, or Cloud AI services.

Experience 6 - 8 years. Skills: A strong level of proficiency in python programming. Practical knowledge and working experience on Statistics and Operation Research methods. Practical knowledge and working experience in tools and frameworks like Flask,PySpark,Pytorch,tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j. Hands on experience in Analytics/AI-ML AWS services like Sagemaker, Canvas, Bedrock. Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc. Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models. Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database. Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS. Understanding business needs / mapping it to the business processes. Hands on experience in agile project delivery. Good in conceptualizing and visualizing end to end business needs both at high level as well as detailed. Good in articulating the business needs. Good analytical and problem-solving skills. Good communication, listening and probing skills. Strong inter-personnel skills. Should collaborate with other team members and work as team. Job Description: Comprehend business issues and propose valuable business solutions. Design Factual or AI/profound learning models to address business issues. Design Statistical Models/ML/DL models and deploy them for production. Formulate what information is accessible from where and how to augment it. Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j. Preferred Certification: (Good to have) AWS Specialty Certification in Data Analytics, Machine Learning

JD for Data Scientist Job Title: Data Scientist Job Location: Jaipur Experience: 3 to 6 years Job Description: We are seeking a highly skilled and innovative Data Scientist to join our dynamic and forward-thinking team. This role is ideal for someone who is passionate about advancing the fields of Classical Machine Learning, Conversational AI, and Deep Learning Systems, and thrives on translating complex mathematical challenges into actionable machine learning models. The successful candidate will focus on developing, designing, and maintaining cutting-edge AI-based systems, ensuring seamless and engaging user experiences. Additionally, the role involves active participation in a wide variety of Natural Language Processing (NLP) tasks, including refining and optimizing prompts to enhance the performance of Large Language Models (LLMs). Key Responsibilities: • Generative AI Solutions: Develop innovative Generative AI solutions using machine learning and AI technologies, including building and fine-tuning models such as GANs, VAEs, and Transformers. • Classical ML Models: Design and develop machine learning models (regression, decision trees, SVMs, random forests, gradient boosting, clustering, dimensionality reduction) to address complex business challenges. • Deep Learning Systems: Train, fine-tune, and deploy deep learning models such as CNNs, RNNs, LSTMs, GANs, and Transformers to solve AI problems and optimize performance. • NLP and LLM Optimization: Participate in Natural Language Processing activities, refining and optimizing prompts to improve outcomes for Large Language Models (LLMs), such as GPT, BERT, and T5. • Data Management & Feature Engineering: Work with large datasets, perform data preprocessing, augmentation, and feature engineering to prepare data for machine learning and deep learning models. • Model Evaluation & Monitoring: Fine-tune models through hyperparameter optimization (grid search, random search, Bayesian optimization) to improve performance metrics (accuracy, precision, recall, F1-score).Monitor model performance to address drift, overfitting, and bias. • Code Review & Design Optimization: Participate in code and design reviews, ensuring quality and scalability in system architecture and development. Work closely with other engineers to review algorithms, validate models, and improve overall system efficiency. • Collaboration & Research: Collaborate with cross-functional teams including data scientists, engineers, and product managers to integrate machine learning solutions into production. Stay up to date with the latest AI/ML trends and research, applying cutting-edge techniques to projects. Qualifications: • Educational Background: Bachelors or Masters degree in Computer Science, Mathematics, Statistics, Data Science, or any related field. • Experience in Machine Learning: Extensive experience in both classical machine learning techniques (e.g., regression, SVM, decision trees) and deep learning systems (e.g., neural networks, transformers). Experience with frameworks such as TensorFlow, PyTorch, or Keras. • Natural Language Processing Expertise: Proven experience in NLP, especially with Large Language Models (LLMs) like GPT, BERT, or T5. Experience in prompt engineering, fine-tuning, and optimizing model outcomes is a strong plus. Programming Skills: Proficiency in Python and relevant libraries such as NumPy, Pandas, Scikit-learn, and natural language processing libraries (e.g., Hugging Face Transformers, NLTK, SpaCy). • Mathematical & Statistical Knowledge: Strong understanding of statistical modeling, probability theory, and mathematical optimization techniques used in machine learning. • Model Deployment & Automation: Experience with deploying machine learning models into production environments using platforms such as AWS SageMaker or Azure ML, GCP AI, or similar. Familiarity with MLOps practices is an advantage. • Code Review & System Design: Experience in code review, design optimization, and ensuring quality in large-scale AI/ML systems. Understanding of distributed computing and parallel processing is a plus. Soft Skills & Behavioural Qualifications: • Must be a good team player and self-motivated to achieve positive results • Must have excellent communication skills in English. • Exhibits strong presentation skills with attention to detail. • Its essential to have a strong aptitude for learning new techniques. • Takes ownership for responsibilities • Demonstrates a high degree of reliability, integrity, and trustworthiness • Ability to manage time, displays appropriate sense of urgency and meet/exceed all deadlines • Ability to accurately process high volumes of work within established deadlines. Thanks & Regards Sulabh Tailang HR-Talent Acquisition Manager |Celebal Technologies |91-9448844746 Sulabh.tailang@celebaltech.com|LinkedIn-sulabhtailang |Twitter-Ersulabh Website-www.celebaltech.com

Mandatory skill set: Python, any cloud, MLE, Deep learning, NLP, MLOPS, {Gen AI (LLM,Langchain,RAG ,Open AI}

We are looking for a skilled Python Developer with a strong background in web application development using frameworks like Django, Flask, and FastAPI. The ideal candidate should also possess hands-on experience in building Generative AI (GenAI) applications leveraging modern AI/ML libraries and frameworks such as LangGraph, LangChain, and LLMs, and integrating them with vector databases like Pinecone or PGVector. Key Responsibilities Web Development: Design, develop, and maintain scalable RESTful APIs using Django, Flask, or FastAPI. Build and deploy modern web applications that are performant, modular, and secure. Implement API authentication and authorization using OAuth2, JWT, or session-based approaches. Work with frontend teams to integrate APIs and ensure smooth end-to-end flows. Follow CI/CD and Git-based deployment workflows using tools like GitHub/GitLab, Jenkins, or Docker. GenAI Application Development: Build intelligent applications using LangGraph and LangChain for orchestrating LLM workflows Integrate OpenAI, Anthropic, HuggingFace, or custom LLMs into production workflows. Design and optimize RAG (Retrieval Augmented Generation) pipelines using vector databases such as Pinecone, PGVector etc Database and Backend Integration: Work with relational databases like PostgreSQL and MySQL. Write efficient and scalable queries for large-scale datasets. Experience with AWS/GCP/Azure is a plus. Required Skills Minimum of 3 years of experience application development using Python/django Proficient in developing and consuming RESTful API Experience with LangGraph, LangChain, and GenAI tools/workflows Experience with LLMs (OpenAI GPT-4, Claude, Llama, etc.) Good understanding of software design principles, code modularity, and version control (Git)

Overview: We are seeking a highly skilled AI Engineer with a strong foundation in backend development and cloud technologies, particularly within the Microsoft ecosystem. The ideal candidate will have experience in AI/ML domains such as Natural Language Processing (NLP), Computer Vision, Video Processing, Text Extraction, Dubbing, and Translation, and be proficient in building scalable, production-ready systems using modern cloud platforms. Responsibilities: Design and develop advanced backend components, data systems, pipelines, and microservices for AI-driven applications. Engineer and implement production-ready, cloud-native infrastructures (or on-premise), from databases to serverless architectures. Integrate and deploy AI models and services, including NLP, computer vision, and video processing solutions. Utilize Azure AI Services, Cognitive Services, and other cloud-native AI tools to build intelligent applications. Collaborate with cross-functional teams to deliver scalable and maintainable AI solutions. Follow best practices in software engineering, including CI/CD, testing, and documentation. Requirements: Proven experience as a senior software or data engineer, with a strong backend focus. Advanced proficiency in Python, demonstrated through real-world projects. Practical experience with backend technologies and frameworks. Strong knowledge of CI/CD frameworks and DevOps practices. Expertise in Microsoft Azure, including Azure AI Services and Cognitive Services. Familiarity with AWS, AWS AI Services, and Google Cloud Platform (GCP) is a plus. Experience with Docker and Kubernetes for containerization and orchestration. AI/ML experience, especially in NLP, Computer Vision, Video Processing, Text Extraction, Dubbing, and Translation, is highly desirable. Data engineering experience is a strong advantage. Note: an AI Engineer with strong expertise in Natural Language Processing (NLP) and Computer Vision. Additionally, they should have in-depth knowledge of the Azure cloud platform and its full suite of services.

Job title: AI/ML Developer Generative AI & Azure Platform Department: Saisystems Technology (SST) Location Pune (Work from Office) : 2nd Floor, Office No 4, Tara Heights, Mumbai Pune Road, Wakdewadi, Pune, Maharashtra, 411003 (no remote/hybrid work) Job overview: We are seeking a skilled and innovative AI/ML Engineer with deep expertise in Generative AI and Natural Language Processing (NLP). The ideal candidate will have hands-on experience designing, developing, and deploying solutions using large language models (LLMs) such as GPT-3 through GPT-6. This role involves fine-tuning domain-specific models, building NLP applications, and leveraging Microsoft Azure services to integrate AI capabilities into enterprise systems. You will collaborate closely with cross-functional teams including development teams, and business stakeholders to deliver responsible, ethical, and high-impact AI-driven solutions. Proficiency in Python and Azure platforms is essential, along with a strong grasp of NLP techniques such as Named Entity Recognition (NER), sentiment analysis, and text summarization. Responsibilities & Duties: Design, develop, and deploy Generative AI solutions using GPT models (GPT-3 to GPT-6). Build and fine-tune LLMs for domain-specific applications. Implement NLP techniques such as tokenization, NER, sentiment analysis, and text summarization. Develop and manage machine learning models using Azure Machine Learning Studio and Python. Utilize Azure OpenAI services to integrate LLM capabilities into enterprise applications. Design data pipelines and manage databases using Azure SQL for training and serving AI models. Apply parsing techniques to extract structured information from unstructured data. Collaborate with data scientists, software engineers, and business stakeholders to deliver AI-driven solutions. Ensure responsible and ethical use of AI models aligned with company policies Required Qualifications: Experience: 4+ years of experience in Python and AIML Technical Skills: Strong experience with Python for ML and NLP development. Proficient in using and fine-tuning GPT (3 to 6) and other LLMs. Solid understanding of NLP concepts and libraries (spaCy, NLTK, Transformers, etc.). Experience with NER, parsing, and text classification. Hands-on experience with Microsoft Azure services including: Azure OpenAI Azure Machine Learning Azure SQL Database Preferred Qualifications: Prior experience deploying LLM-based applications in production environments. Familiarity with prompt engineering and advanced LLM customization techniques Knowledge of responsible AI practices, model interpretability, and bias mitigation. Experience working with RESTful APIs and integrating AI services into web/mobile applications. Strong communication skills and ability to translate complex AI concepts to non-technical stakeholders Certification in Microsoft Azure AI or related cloud services is a plus. Key Performance Indicators: Model Accuracy & Performance: Accuracy, precision, recall, and F1 scores of deployed LLMs and NLP models. Azure Resource Utilization: Efficient usage and cost optimization of Azure Machine Learning, Azure OpenAI, and Azure SQL resources. Project Delivery Timelines: Adherence to deadlines for AI solution delivery and milestone completion. Model Fine-tuning Impact: Measurable improvement in model performance post fine-tuning for domain- specific use cases. Competencies: Technical Expertise: Deep understanding of Generative AI, LLMs (GPT-3 to GPT-6), and NLP techniques including tokenization, NER, sentiment analysis, and summarization. Project Ownership: Ability to independently manage tasks, prioritize deliverables, and meet deadlines in a dynamic environment. Collaboration & Communication: Strong interpersonal skills to work effectively with data scientists, engineers, and business stakeholders.

Job description Job Title: QA Kore.ai Location: Hyderabad Experience: 2 to 5 years Employment Type: Full-time About the Role We are seeking a detail-oriented and proactive QA with Kore.ai experience to join our Conversational AI team. In this role, you will be responsible for testing AI-driven bots across multiple platforms including chat interfaces and voice channels Key Responsibilities Understand and validate conversation flows, intents, entities, and bot behavior across chatbot and voicebot use cases. Design and execute test cases, scenarios, and test data for conversational interfaces (text and voice). Perform functional, regression, integration, and user acceptance testing (UAT) of chatbot and voicebot implementations. Test omnichannel bot behavior on platforms such as web, WhatsApp, MS Teams, Google Assistant, IVR, etc. Required Skills & Qualifications 25 years of QA experience, with at least 1–2 years in testing chatbots and/or Voicebot built on Kore.ai platform Familiarity with Conversational AI platforms, primarily Kore.ai Strong understanding of NLU/NLP concepts. Excellent analytical, communication, and troubleshooting skills.

Greetings from Euclid Innovations!!! We have Python Developer with one of our client in Hyderabad. Position : Python Developer Experience : 8+ Years Location : Hyderabad/Bangalore Work Mode: Hybrid Interview Mode: Client Round F2F-In Hyderabad Notice Period: Immediate to 20 Days Max Role Overview: We are looking for a skilled Python Developer with strong Artificial Intelligence (AI) expertise to join our growing technology team. The ideal candidate will be responsible for developing AI-powered solutions using Python and collaborating with data scientists and product teams to bring intelligent features to our applications. Key Responsibilities: Develop and maintain AI-enabled applications using Python. Design and implement machine learning and deep learning models for tasks like classification, prediction, NLP, or computer vision. Collaborate with data scientists to prepare data pipelines and automate model training and evaluation. Develop APIs or microservices to expose AI models and integrate them into front-end systems. Perform data preprocessing, feature engineering, and model validation. Continuously optimize model performance and monitor outputs in production environments. Stay up to date with emerging AI tools, libraries, and trends. Required Skills: Strong knowledge of Python and experience with libraries such as NumPy , Pandas , Scikit-learn , and TensorFlow or PyTorch . Solid understanding of machine learning algorithms , data structures, and OOP principles. Experience in building and deploying ML models in production. Familiarity with RESTful API development using Flask or FastAPI. Experience working with structured and unstructured data . Version control using Git and basic knowledge of DevOps tools. Preferred Qualifications: Bachelors/Master’s degree in Computer Science, Engineering, AI, or related field. Exposure to NLP, computer vision , or time series forecasting. Familiarity with cloud platforms like AWS, GCP, or Azure. Basic knowledge of Docker , Kubernetes , or MLflow is a plus. Nice to Have: Hands-on experience with Generative AI or LLMs . Contributions to AI research or open-source AI projects. Experience with AI model monitoring and performance tuning. if interested share your profile to aruna.c@euclidinnovations.com

About the Role We are looking for a Manager / Senior Manager -Growth Strategy, a key role within the Growth Strategy team at Innovaccer. This individual will be responsible for delivering key customer analytics (e.g., ROI models), performance analytics, and slide presentations to support multiple sales pursuits. The ideal candidate has a strong desire to learn about the US healthcare system, is organized and structured, has excellent written and verbal communication skills, and is a fast learner. The role requires both analytical skills and creativity to articulate and communicate complex messages about healthcare and technology to a wide-ranging audience. You will be aligned with a Growth Strategy Director/Senior Director in the US who will provide you direction on day to day work and help you learn about the company and the industry. A Day in the Life Build compelling presentations including sales pitch decks, case studies, talk tracks, marketing outreach messages, and visuals. Research and analyze high-priority strategic markets, including industry mapping, customer profiling, competitive insights, and deep dives into select solution opportunities Co-develop and maintain standardized value lever framework, segment-based pitch decks, and customer case studies for use across multiple sales pursuits Provide analytics thought partnership and data support on the design, execution, and measurement of impactful growth strategy initiatives Collaborate across Marketing, Sales, Product teams, and business leaders to address business questions that can be answered effectively through data-driven modeling and insights Develop slide presentations for quarterly and annual reporting presentations Structure, manage, and write responses to RFPs What You Need Degree from a Tier 1 college with relevant degrees in Finance, Economics, Statistics, Business, or Marketing. 1-5 years of professional experience, including experience in management consulting and/or Go To Market in a technology/ software/SAAS company Strong technical aptitude, fantastic storytelling skills, with a great track record of working across sales, marketing, and technology teams Ability to identify, source, and include data elements to drive analytical models and outputs. Experience creating Excel models (identify inputs, key considerations/variables, relevant outputs) and PowerPoint presentations Familiarity with leveraging AI tools (e.g., generative AI, AI-enhanced research tools, AI-based data analysis platforms) to enhance productivity, accelerate research, generate insights, and support creative problem-solving. Proactive, decisive, independent thinker and good at problem solving and conducting industry research Experience making slide presentations for internal and external audiences that articulate key takeaways Creative problem solver with the ability to back up ideas with requisite fact-based arguments Comfortable working with multiple data sources in both structured data and unstructured formats to frame a business opportunity and develop a structured path forward Strong proficiency in Excel and PowerPoint or G-Suite Willing to work in a fast-paced environment under tight deadlines Strong written and verbal communication skills, as well as the ability to manage cross-functional stakeholders Experience with analytics and financial modeling US Healthcare experience and/or a strong willingness and interest to learn this space. Specific areas of interest include: Understanding of payer/provider / patient dynamics Provider data strategy and architecture Provider advanced analytics, AI, NLP Patient experience and engagement Population Health and Care Management Utilization and cost management Risk and Quality Management Population Health Management Risk models Value-Based Care Social Determinants of Health

Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Data & AI Strategy I Level: Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 10 to 15 years Explore an Exciting Career at Accenture Do you believe in creating an impactAre you a problem solver who enjoys working on transformative strategies for global clientsAre you passionate about being part of an inclusive, diverse and collaborative culture Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling AIand the data that fuels it allto power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of AI potential and development of use cases that can transform business Proof of Concepts :Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data. Formulation of Guiding Principles and Components: Assessing impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing AI & Gen AI products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data & AI and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design & guide development of Enterprise-wide AI & Gen AI strategy for our clients Through your expertise and experience, guide your team to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current & recommend AI & Gen AI solutions Conduct discovery workshops and design sessions to elicit AI & Gen AI opportunities & client pain areas. Utilize strong expertise & certification in any of the AI & Gen AI Cloud platforms Google, Azure or AWS, in areas such as Machine Learning, NLP, Generative AI etc. Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Have a deep understanding of the Responsible AI & Gen AI framework as well as tools to engage the client in meaningful discussions and steer towards the right recommendation. Define an AI use case driven value realization framework and define business cases relevant to the client industry Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Your experience counts! MBA from a tier 1 institute 5 7 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 3+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred:Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential Qualification MBA from a tier 1 institute 5 7 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 3+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred:Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential

Very Urgent: AI Specialist Company: AurumData Solutions Location: Hyderabad Experience:7+Years Work type: Work From Office Key Skills: AI/GenAI, LLM, RAG,NLP, Python, ML/DL, TensorFlow, PyTorch, Scikit-learn AI Specialist Job Description: We are seeking an experienced AI Specialist to develop, implement, and optimize artificial intelligence (AI) and machine learning (ML) models. The ideal candidate will have a strong background in AI, deep learning, natural language processing (NLP), and data science. This role involves collaborating with cross-functional teams to integrate AI-driven solutions into business processes, enhancing efficiency, automation, and decision-making. Key Responsibilities Design, develop, and deploy AI/ML models to solve complex business problems. Implement machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. Work with large datasets to extract insights and build predictive models. Develop AI-powered applications, including chatbots, recommendation systems, and computer vision solutions. Collaborate with data scientists, engineers, and business analysts to align AI solutions with business needs. Optimize AI models for performance, scalability, and accuracy. Conduct research on emerging AI technologies and recommend their adoption. Ensure AI solutions comply with ethical AI principles, privacy regulations, and security guidelines. Use cloud platforms (AWS, GCP, or Azure) to deploy and manage AI models. Continuously monitor and improve AI models based on real-world feedback and data. Required Skills & Qualifications Bachelor's or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field. 5+ years of experience in AI/ML development and deployment. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs). Experience with NLP, speech recognition, or computer vision. Knowledge of cloud-based AI services (AWS SageMaker, GCP AI, Azure ML). Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent communication skills to convey AI concepts to non-technical stakeholders. Preferred Qualifications AI certifications (Google Professional ML Engineer, AWS Certified ML Specialist, etc.). Experience in AI-driven automation and decision intelligence. Knowledge of edge AI and federated learning techniques. If you are interested, kindly send your CVs to Madhavi@aurumdatasolutions.com

About Us: Tessolve offers a unique combination of pre-silicon and post-silicon expertise to provide an efficient turnkey solution for silicon bring-up, and spec to the product. With 3200+ employees worldwide, Tessolve provides a one-stop-shop solution with full-fledged hardware and software capabilities, including its advanced silicon and system testing labs. Tessolve offers a Turnkey ASIC Solution, from design to packaged parts. Tessolves design services include solutions on advanced process nodes with a healthy eco-system relationship with EDA, IP, and foundries. Our front-end design strengths integrated with the knowledge from the backend flow, allows Tessolve to catch design flaws ahead in the cycle, thus reducing expensive re-design costs, and risks. We actively invest in the R&D center of excellence initiatives such as 5G, mmWave, Silicon photonics, HSIO, HBM/HPI, system-level test, and others. Tessolve also offers end-to-end product design services in the embedded domain from concept to manufacturing under an ODM model with application expertise in Avionics, Automotive, Industrial and Medical segments. Tessolves Embedded Engineering services enable customers a faster time-to-market through deep domain expertise, innovative ideas, diverse embedded hardware & software services, and built-in infrastructure with world-class lab facilities. Tessolves clientele includes Tier 1 clients across multiple market segments, 9 of the top 10 semiconductor companies, start-ups, and government entities. We have a global presence over 12 countries with office locations in the United States, India, Singapore, Malaysia, Germany, United Kingdom, Canada, UK, Japan, Taiwan, Philippines, and Test Labs in India, Singapore, Malaysia, Austin, San Jose. For more details, visit www.tessolve.com. Job Summary: We are looking for a dynamic and experienced Technical Lead to spearhead Generative AI initiatives using Microsoft Azure Cloud and OpenAI services. You will play a pivotal role in architecting, developing and deploying AI-driven applications that deliver real business value. This is a hands-on leadership role, ideal for someone who thrives at the intersection of technology, strategy and innovation. What You'll Do: • Architect and design the GenAI Solution leveraging Azure OpenAI Services, GPT models and other Azure AI Capabilities. • Configure, Deploy & Scale systems and solutions in Azure Cloud. • Develop and optimize prompt engineering strategies, fine-tune LLMs and integrate vector databases. • Participate in full project life cycle (including requirement analysis, system design, development and support if required) • Develop, maintain and support existing Python applications and analyse and convert business requirements as needed. • Analyse and revise existing system logic diiculties and ensure that technical knowledge of all phases of application systems is maintained. • Create and maintain technical documentation, including user manuals and guides. • Lead the team of AI engineers, providing mentorship, code reviews, and technical guidance to drive project success. • You will be the key lead in reporting on project status and product development status to leadership. • Collaborate with our SME to define and deliver high-impact AI solutions. Who you are: 8-12 years of experience in Python Programming with at least 3 years of experience in Generative AI applications. Strong hands-on experience with Azure Cloud (Azure OpenAI, Azure Functions, Azure Machine Learning, Azure Cognitive Services, etc) Expertise in using OpenAI APIs (ChatGPT, GPT-4, embeddings, fine-tuning, etc.). Proficiency in Python, JavaScript/TypeScript, or similar languages used in AI application development. Should have strong knowledge, and understanding of the GenAI models, algorithms, and techniques - OpenAI, LLaMA, Claude, Palm, LLMs, how to deploy them on cloud/ on-premises and use APIs to build Industry solutions. Experienced in implementing and optimizing generative models for various applications such as code generation, text generation, image synthesis, and data augmentation. Experienced in using frameworks like LangChain, Llamaindex, and Semantic Kernel. Experience with prompt engineering, RAG (Retrieval-Augmented Generation), and vector stores. Familiarity with Git, CI/CD, Docker, Kubernetes, and DevOps practices. VSCode extension development experience will be a plus. Proven experience leading AI/ML teams, with a track record of delivering projects and mentoring team members will be an added advantage. What We Offer: • Opportunity to lead cutting-edge AI projects in a fast-paced, innovation-driven environment. • Collaborative team culture with opportunities for growth and learning. • Competitive salary and performance-based incentives. • Flexible work arrangements and generous leave policies. Tessolve Semiconductor Private Limited, as well as its affiliates and subsidiaries (Tessolve) does not require job applicants to make any payments at any stage of the hiring process. Any request for payment in exchange for a job opportunity at Tessolve is fraudulent and should be ignored. If you receive any such communication, we strongly advise you to refrain from making any payments and to promptly report the incident to us at hr@tessolve.com. Tessolve is not responsible for any losses incurred due to such fraudulent activities

Role Summary: We are looking for a sharp, driven, and proactive Business Analyst to lead analytics initiatives across our customer lifecycle touchpoints including inbound and outbound journeys, NLP insights, and churn reduction strategies. The ideal candidate is passionate about data, deeply understands consumer behaviour, and can convert insights into actionable strategies for enhancing customer experience and driving retention. Key Responsibilities: NLP Analytics: Work with NLP models/tools to analyze customer call center data (voice & text). Identify pain points, trends, and sentiment to drive actionable improvements. Inbound/Outbound Analytics: Analyze contact center performance metrics across calls, IVR, WhatsApp, chatbot, and other channels. Identify leakage points and suggest automation or process changes to enhance First Call Resolution (FCR) and reduce repeat contacts. Churn Reduction: Build early warning systems to predict churn and implement preventive retention strategies. Segment users based on churn propensity and create personalized engagement journeys in collaboration with the marketing and product teams. Customer-Centric Metrics: Track and improve NPS, CSAT, and contact rate metrics. Recommend improvements based on customer feedback analysis and behavioural trends. Stakeholder Collaboration: Work closely with product, tech, marketing, call center, and retention teams to align analytics with business goals. Create dashboards and visualizations for senior leadership. Must-Have Skills: Strong command of SQL, Excel, and at least one BI tool (Tableau, Power BI, Looker, etc.) Working knowledge of Python/R for data analysis; familiarity with NLP libraries a plus. Understanding of customer lifecycle and telecom/D2C metrics like ARPU, churn, NPS, etc. Excellent problem-solving ability and structured thinking. Ability to work independently and drive cross-functional initiatives.

#GenerativeAI Experts ready for AI race, this is for you! Announcing Hexaware conducting Walkin Drive for AI Engineer and Lead Data Scientist (GenAI)-Pune Location-12th July 2025(Saturday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: AI Engineer/Lead Data Scientist (GenAI) AI Engineer Experience- 3+years Lead Data Scientist (GenAI) Experience- 7+years Notice Period- 15 days/30days Max (who serving Notice Period) Walkin Drive Location- Pune Date of drive- 12th July 2025(Saturday) Must have Experience: LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Strong Experience in Data Scientist (GENAI) 2. Proficiency with Generative AI models like GANs, VAEs, and transformers 3. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 4. Strong Python Fast API experience, SDA based implementations for all the APIs 5. Knowledge of Agentic AI concepts and applications

LLM & Prompt Engineer About PureCode AI : PureCode is a front-end developer tool where engineers can use text to describe and generate or customize software user interfaces - (and soon entire projects). Our goal is tobuild a must use developer tool for front-end engineers to build web software 100x faster! We are headquartered in Austin, TX, USA with engineering offices in Bangalore, India. This position is for exclusively in office work in Bangalore. Please visit our site to understand our product before applying https://purecode.ai/ Responsibilities : - Develop and optimize prompts for AI systems to assist developers in generating high-quality code, improving documentation, and automating tasks. - Designing, Developing and Refining prompts to enhance the quality and relevance of generated response. - Monitor and analyze prompt's performance to identify areas of improvements. - Understand user behavior and requirements and develop accordingly. - Stay proactive in identifying opportunities for innovation and improvement in our AI systems. - Stay up to date with advancements in AI, NLP, and prompt engineering, and apply this knowledge to improve our products and processes. - Conduct experiments to test and evaluate the effectiveness of different prompts in producing optimal results for end users. Qualifications : - Knowledge of LLM parameters and configuring these parameters to get different results for prompt. - Understanding of all prompt elements and experience in modifying those elements to get better results. - Experience with existing prompting techniques. - Experience with using suitable prompts for various applications (e.g. Generating code, Generating data, etc.). - Experience with RAG and handling hierarchical data (e.g. Codebase) for RAG. - Knowledge of capabilities of various LLMs and how can we use different prompts efficiently to improve the capacity of LLMs. - Knowledge of scaling, agents, efficiency, hallucination, prompt injection, etc. - Understanding of Graph databases and Tabular databases and utilization of prompts to make LLM interact with these databases. - Knowledge of latest research on prompt engineering for LLMs.

Role : AI Research Engineer - AI Pair Programming About Us : We are developing a cutting-edge AI pair programming extension for VS Code, aimed at revolutionising the way developers write code. Our mission is to enhance developer productivity and code quality through advanced AI assistance. We're seeking an experienced AI Research Engineer to join our innovative team at PureCode AI and help push the boundaries of AI in software development. Position Overview : We are looking for an AI Research Engineer with a strong background in Large Language Models (LLMs) and their applications in code generation and understanding. The ideal candidate will contribute to our research efforts in contextual retrievals, rerankers, and vector databases, with a focus on optimising developer workflows. Key Responsibilities : - Conduct advanced research in AI and machine learning, specifically focusing on LLMs for code generation and comprehension - Implement or optimise state-of-the-art AI models to enhance our AI pair programming capabilities - Develop and refine algorithms for contextual code retrieval, reranking, and efficient use of vector databases - Collaborate with the development team to integrate research findings into our VS Code extension - Contribute to the improvement of developer workflow optimisation through AI-assisted coding - Evaluate and fine-tune models to ensure high-quality code suggestions and analysis - Stay abreast of the latest advancements in AI research and propose innovative applications for our product Qualifications : - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field - Minimum of 3 years of experience in AI engineering and research, with a focus on NLP and LLMs - Strong background in machine learning, deep learning, and natural language processing - Expertise in implementing and deploying AI models for code analysis and generation - Experience with contextual retrieval systems, rerankers, and vector databases - Proficiency in Python and familiarity with machine learning frameworks such as PyTorch or TensorFlow - Solid understanding of API development practices and tools, particularly in the context of Generative AI. - Familiarity with VS Code extension development is a plus Required Skills : - Strong problem-solving skills and ability to translate research into practical applications - Excellent programming skills and ability to write clean, efficient code - Good understanding of software engineering principles and best practices - Ability to work effectively in a collaborative team environment - Strong communication skills to explain complex AI concepts to both technical and non-technical stakeholders - Self-motivated with the ability to work independently on research projects Preferred Experience : - Previous work on AI-assisted coding tools or IDE plugins - Contributions to open-source AI or developer tool projects - Experience with large-scale machine learning model deployment and optimisation - Familiarity with MLOps practices and tools What We Offer : - Opportunity to work on cutting-edge AI technology that directly impacts developers worldwide - Collaborative and innovative work environment - Competitive salary and benefits package - Professional development opportunities and support for attending relevant conferences - Chance to publish and present research findings in academic and industry forums Location- Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad

Responsibilities Develop and optimize prompts for AI systems to assist developers in generating high-quality code, improving documentation, and automating tasks. Designing, Developing and Refining prompts to enhance the quality and relevance of generated response. Monitor and analyze prompts performance to identify areas of improvements. Understand user behavior and requirements and develop accordingly. Stay proactive in identifying opportunities for innovation and improvement in our AI systems. Stay up to date with advancements in AI, NLP, and prompt engineering, and apply this knowledge to improve our products and processes. Conduct experiments to test and evaluate the effectiveness of different prompts in producing optimal results for end users. Qualifications Knowledge of LLM parameters and configuring these parameters to get different results for prompt. Understanding of all prompt elements and experience in modifying those elements to get better results. Experience with existing prompting techniques. Experience with using suitable prompts for various applications (e.g. Generating code, Generating data, etc.). Experience with RAG and handling hierarchical data (e.g. Codebase) for RAG. Knowledge of capabilities of various LLMs and how can we use different prompts efficiently to improve the capacity of LLMs. Knowledge of scaling, agents, efficiency, hallucination, prompt injection, etc. Understanding of Graph databases and Tabular databases and utilization of prompts to make LLM interact with these databases. Knowledge of latest research on prompt engineering for LLMs.