571 Llm Jobs - Page 9

Job Description: We are seeking a highly skilled and passionate AI/ML Engineer with strong expertise in Generative AI and Large Language Models (LLMs) . The ideal candidate will have hands-on experience in building, fine-tuning, and deploying agentic AI systems using modern GenAI frameworks. You will work on cutting-edge projects involving prompt engineering , RAG pipelines , and memory architectures such as vector databases. Responsibilities: Design and implement AI/ML solutions using modern LLM architectures and agentic AI concepts . Build and optimize intelligent agents using frameworks such as LangChain, AutoGen, CrewAI , or Semantic Kernel . Develop and fine-tune generative AI models with Transformers , HuggingFace , OpenAI API , etc. Implement and enhance Retrieval-Augmented Generation (RAG) pipelines and memory systems like vector databases (e.g., FAISS, Pinecone). Write high-performance Python code to support experimentation, model integration, and API interactions. Collaborate cross-functionally with product, design, and engineering teams in an agile development environment. Deploy AI solutions on cloud platforms (AWS, Azure, or GCP) with a focus on scalability and performance. Stay updated with the latest advancements in the AI/ML/GenAI space. Required Experience: 3 to 8 years of experience in AI/ML , with at least 1 year in Generative AI / LLM-based projects . Proven expertise in Python programming and related libraries for ML/GenAI. Hands-on experience with one or more GenAI frameworks (LangChain, AutoGen, etc.). Solid understanding of prompt engineering , RAG , vector DBs , and agent-based systems . Cloud deployment experience (AWS, Azure, or GCP) is a must. Strong analytical and problem-solving skills.

Duration: 8Months Work Type: Onsite Position Description: Looking for qualified Data Scientists who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, and Optimization. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidates should have experience in manipulating both structured and unstructured data in various formats, sizes, and storage-mechanisms. Candidates should have excellent problem-solving skills with an inquisitive mind to challenge existing practices. Candidates should have exposure to multiple programming languages and analytical tools and be flexible to using the requisite tools/languages for the problem at-hand. Skills Required: Machine Learning, GenAI, LLM Skills Preferred: Python, Google Cloud Platform, Big Query Experience Required: 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms Experience Preferred: 3+ years of experience in at least one of the following languages: Python, R, MATLAB, SAS Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem Education Required: Bachelor's Degree

Role & responsibilities We are looking for Gen AI Engineer position permanent position with US MNC for Bangalore/Chennai/Pune/Noida/Gurgaon location (Hybrid). Preferred candidate profile Experience Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Role & responsibilities We are looking for Gen AI Engineer position permanent position with US MNC for Bangalore/Chennai/Pune/Noida/Gurgaon location (Hybrid). Preferred candidate profile Experience Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Role & responsibilities We are looking for Gen AI Engineer position permanent position with US MNC for Bangalore/Chennai/Pune/Noida/Gurgaon location (Hybrid). Preferred candidate profile Experience Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Role & responsibilities We are looking for Gen AI Engineer position permanent position with US MNC for Bangalore/Chennai/Pune/Noida/Gurgaon location (Hybrid). Preferred candidate profile Experience Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Skills: 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge Skills : - LLM/ML ,application development, Data Handling,Data processing,Data engineering,Dataset creation, LLM performance metrics, fine-tuning, prompt engineering, Image/Video Processing, Generative AI, OpenAI, Claude, Prompt Engineering, autogen, agentic framework

Senior Technical Architect Machine Learning Solutions We are looking for a Senior Technical Architect with deep expertise in Machine Learning (ML), Artificial Intelligence (AI) , and scalable ML system design . This role will focus on leading the end-to-end architecture of advanced ML-driven platforms, delivering impactful, production-grade AI solutions across the enterprise. Key Responsibilities Lead the architecture and design of enterprise-grade ML platforms , including data pipelines, model training pipelines, model inference services, and monitoring frameworks. Architect and optimize ML lifecycle management systems (MLOps) to support scalable, reproducible, and secure deployment of ML models in production. Design and implement retrieval-augmented generation (RAG) systems, vector databases , semantic search , and LLM orchestration frameworks (e.g., LangChain, Autogen). Define and enforce best practices in model development, versioning, CI/CD pipelines , model drift detection, retraining, and rollback mechanisms. Build robust pipelines for data ingestion, preprocessing, feature engineering , and model training at scale , using batch and real-time streaming architectures. Architect multi-modal ML solutions involving NLP, computer vision, time-series, or structured data use cases. Collaborate with data scientists, ML engineers, DevOps, and product teams to convert research prototypes into scalable production services . Implement observability for ML models including custom metrics, performance monitoring, and explainability (XAI) tooling. Evaluate and integrate third-party LLMs (e.g., OpenAI, Claude, Cohere) or open-source models (e.g., LLaMA, Mistral) as part of intelligent application design. Create architectural blueprints and reference implementations for LLM APIs, model hosting, fine-tuning, and embedding pipelines . Guide the selection of compute frameworks (GPUs, TPUs), model serving frameworks (e.g., TorchServe, Triton, BentoML) , and scalable inference strategies (batch, real-time, streaming). Drive AI governance and responsible AI practices including auditability, compliance, bias mitigation, and data protection. Stay up to date on the latest developments in ML frameworks, foundation models, model compression, distillation, and efficient inference . 14. Ability to coach and lead technical teams , fostering growth, knowledge sharing, and technical excellence in AI/ML domains. Experience managing the technical roadmap for AI-powered products , documentations ensuring timely delivery, performance optimization, and stakeholder alignment. Required Qualifications Bachelors or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 8+ years of experience in software architecture , with 5+ years focused specifically on machine learning systems and 2 years in leading team. Proven expertise in designing and deploying ML systems at scale , across cloud and hybrid environments. Strong hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face, Scikit-learn). Experience with vector databases (e.g., FAISS, Pinecone, Weaviate, Qdrant) and embedding models (e.g., SBERT, OpenAI, Cohere). Demonstrated proficiency in MLOps tools and platforms : MLflow, Kubeflow, SageMaker, Vertex AI, DataBricks, Airflow, etc. In-depth knowledge of cloud AI/ML services on AWS, Azure, or GCP – including certification(s) in one or more platforms. Experience with containerization and orchestration (Docker, Kubernetes) for model packaging and deployment. Ability to design LLM-based systems , including hybrid models (open-source + proprietary), fine-tuning strategies, and prompt engineering. Solid understanding of security, compliance , and AI risk management in ML deployments. Preferred Skills Experience with AutoML , hyperparameter tuning, model selection, and experiment tracking. Knowledge of LLM tuning techniques : LoRA, PEFT, quantization, distillation, and RLHF. Knowledge of privacy-preserving ML techniques , federated learning, and homomorphic encryption Familiarity with zero-shot, few-shot learning , and retrieval-enhanced inference pipelines. Contributions to open-source ML tools or libraries. Experience deploying AI copilots, agents, or assistants using orchestration frameworks.

At the intersection of science and technology, Clovertex is a Life Sciences systems integrator specializing in architecting, building, automating, and managing scientific applications, databases, data lakes, and workflows using cloud computing technologies. Clovertex is an AWS Advanced Tier Partner. Our team has deep scientific domain experience and specializes in providing both IT and science-related services. To know more about us: www.clovertex.com Job Title: Full-Stack AI Developer (Generative AI & LLMs) Location: Hyderabad Job Description: We seek a highly skilled Full-Stack AI Developer to lead the development of cutting-edge AI solutions, specializing in generative AI and large language models (LLMs). You will be responsible for building end-to-end applications, from designing intuitive front-end to training and deploying robust backend models. Responsibilities: Front-End Development: Design and implement user-friendly interfaces for AI applications. Utilize modern web frameworks (e.g., React, Vue.js) to create engaging user experiences. Optimize front-end performance and responsiveness. Back-End Development: Build scalable and efficient backend systems to support AI model deployment. Design and implement RESTful APIs for seamless communication between front-end and back-end. Integrate with cloud platforms (e.g., AWS, Azure) for infrastructure management. AI Model Development: Train and fine-tune state-of-the-art generative AI and LLM models. Leverage deep learning frameworks (e.g., TensorFlow, PyTorch) for model development. Implement efficient inference pipelines for real-time model predictions. Data Engineering: Design and maintain robust data pipelines for model training and evaluation. Preprocess and clean large-scale datasets for optimal model performance. Implement data versioning and monitoring strategies. Preferred Qualifications: Graduate degree in Computer Science, Artificial Intelligence, or a related field. 5+ years of experience in full-stack development. 2+ years of experience in AI model development, particularly with generative AI and LLMs. Strong understanding of machine learning algorithms and natural language processing. Proficiency in Python and relevant AI frameworks (e.g., TensorFlow, PyTorch). Skills: Excellent communication and collaboration skills. Ability to work independently and in a team environment. Passion for staying updated with the latest advancements in AI. Bonus Points: Experience in the Biopharma industry. Experience with model optimization techniques (e.g., quantization, pruning). Contributions to open-source AI projects. Publications in relevant AI conferences or journals. Benefits: We strongly believe in a competitive salary and benefits package for our employees. Along with the opportunity to work on cutting-edge technologies in the Biotechnology Industry, Clovertex also reimburse AWS certifications at various levels. Clovertex understands the importance of Work Life balance and provides Hybrid work model. Health insurance and benefits for the employees and dependents. Additional Information: Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a positive and inclusive work environment for all employees. Join our team and contribute to building cutting-edge software solutions that drive innovation and deliver exceptional value to our customers. If you are passionate about technology and enjoy working in a collaborative environment, we want to hear from you!

Key points: Shouldhave 2-5 years of professional backend building experience Shouldhave experience of working in Java/C++/Go with experience in Multithreading, object-oriented design patterns, microservices architecture Experience developing cloud architecture on leading cloud providers (Azure/AWS/GCP) is a must Shouldhave startup experience, preferably as founding engineer Shouldbefrom top engineering college, preferably with CS degree Prior work with LLM/ML applications would be a bonus.

Skills : 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge

Role & responsibilities Lead the architecture and deployment of LLM and GenAI-based applications. Fine-tune and optimize state-of-the-art LLMs including GPT, LLaMA, Claude, Mistral, etc. Design and implement advanced prompt engineering and Retrieval-Augmented Generation (RAG) systems. Collaborate with data scientists, backend engineers, and product teams to deliver robust AIdriven solutions. Ensure security, performance, and cost optimization in model training and deployment. Translate complex business requirements into scalable GenAI solutions. Maintain best practices in code quality, version control, and documentation. Proven expertise in LLM fine-tuning, deployment, and inference workflows. Strong experience in Prompt Engineering and RAG (Retrieval-Augmented Generation) systems. Proficient in Python with hands-on experience in building AI pipelines. Demonstrated ability to lead system design and architecture for GenAI applications Preferred candidate profile Familiarity with GenAI toolkits such as LangChain, LlamaIndex, Haystack, or custom-built frameworks. Exposure to Microsoft Azure (preferred over AWS or GCP) for cloud deployments. Experience with scalable, secure AI infrastructure and CI/CD pipelines for ML models

Develop and implement AI scripts using Python to automate processes and tasks. Apply knowledge of the OpenAI API to create complex AI workflows and enhance automation solutions. Lead the deployment of AI solutions in Azure Apply Langchain Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science, Machine learning along with hands on experience with GenAI and LLMs

US Shift (8:30 pm to 5:30 AM) Generative AI Developer requirement: Experience using LLM models. Development methodology in AI use cases. Experience on Azure Open AI If interested, please share your resume at simran.agrawal1@elevancesystems.com

In this role you will: Develop and fine-tune LLMs for contract analysis, regulatory classification, and risk assessment. Implement Retrieval-Augmented Generation (RAG) using vector embeddings and hybrid DB-based querying to power DPIA and compliance workflows. Build AI-driven contract analysis systems to detect dark patterns, classify clauses, and provide remediation suggestions. Develop knowledge graph-based purpose taxonomies for privacy policies and PII classification. Automate data discovery for structured and unstructured data, classifying it into PII categories. Optimize sliding window chunking, token-efficient parsing, and context-aware summarization for legal and compliance texts. Build APIs and ML services for deploying models in a high-availability production environment. Collaborate with privacy, legal, and compliance teams to build AI solutions that power Privy s data governance tools. Stay ahead of the curve with agentic RAG, multi-modal LLMs, and self-improving models in the compliance domain. Skills Required: LLM , RAG , AgenticAI , NLP , Python , Problem solving Candidate Attributes: Must-Have Skills 3-5 years of experience in Machine Learning, NLP, and LLM-based solutions. Strong expertise in fine-tuning and deploying LLMs (GPT-4, Llama, Mistral, or custom models). Experience with RAG-based architectures, including vector embeddings (FAISS, ChromaDB, Weaviate, Pinecone, or similar). Hands-on with agentic RAG, sliding window chunking, and efficient context retrieval techniques. Deep understanding of privacy AI use cases, including contract analysis, regulatory classification, and PII mapping. Proficiency in Python and frameworks like PyTorch, TensorFlow, JAX, Hugging Face, or LangChain. Experience in building scalable AI APIs and microservices. Exposure to MLOps practices, including model monitoring, inference optimization, and API scalability. Experience working with at least one cloud provider (AWS, GCP, or Azure). Good-to-Have Skills Experience in hybrid AI architectures combining vector search + relational databases. Familiarity with functional programming languages (Go, Elixir, Rust, etc.). Understanding of privacy compliance frameworks (DPDP Act, GDPR, CCPA, ISO 27701). Exposure to Kubernetes, Docker, and ML deployment best practices. Contributions to open-source LLM projects or privacy AI research.

Be a leader in ML & GenAI Space with exposure to Application building Should have experience in doing Business Development on ML & GenAI space Should have exposure in independently creating demos, PoCs and accelerators on GenAI space Able to handle entire BD process of its own Can setup a team of smart data scientists and app developers quickly Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT Software development experience in python is needed as backend for UI based applications Create Technical documents e.g., HLD/LLDs/Technical Designs etc., develop, test, and deploy data analytics processes using Python, SQL on Azure/AWS platforms Can interact with client on GenAI related capabilities and use cases Qualification: - - B-Tech or BE in Computer Science / Computer Applications from Tier 1-2 college with 10+ years of proven experience in the field of Advanced Analytics or Machine Learning OR - Master's degree in Machine Learning / Statistics / Econometrics, or related discipline from Tier 1-2 college with 10+ years of experience Must have Skills: - Minimum 10 years of experience in designing and architecting ML based solutions on Azure/AWS platforms Must have good knowledge on concepts of Generative AI / LLMs / GPT Deep understanding of architecture and work experience on Web Technologies Python, SQL hands-on experience Expertise in any popular python web frameworks e.g. flask, FastAPI, Django etc. Familiarity with frontend technologies like HTML, JavaScript, REACT Skills that give you an edge: - Strong analytical skills to solve and model complex business requirements are a plus. With life sciences or pharma background.

This role is for one of the Weekday's clients Salary range: Rs 2500000 - Rs 3000000 (ie INR 25-30 LPA) Min Experience: 4 years Location: Bengaluru JobType: full-time We are seeking a highly skilledSenior Machine Learning Engineerto join our data science team focused on retail AI applications. In this role, you will develop and deploy advanced machine learning models that drive intelligent decision-making across product personalization, trend forecasting, and risk management. You'll work closely with product and engineering teams to integrate ML solutions into a dynamic platform, influencing both customer experiences and backend optimization strategies. Requirements Key Responsibilities: Design and implementAI-powered solutionsfor personalization, trend prediction, and customer behavior modeling. Developpredictive analyticsmodels to optimize decision-making in retail and trading environments. Train, fine-tune, and deploymachine learning models, leveraging structured and unstructured data sources. Collaborate with software engineers tointegrate ML solutionsinto production systems. Explore and applyreinforcement learningandNLP techniqueswhere relevant to the platform's capabilities. Utilizecloud-based AI tools(e.g., AWS SageMaker, Google AI) for model training and deployment. Required Qualifications: 35 yearsof hands-on experience in machine learning model development and deployment. Proficiency inPython, with exposure toJavaScript or TypeScript. Expertise in frameworks likeTensorFlow, PyTorch, orScikit-learn. Strong experience withPandas, NumPy, SQL, and appliedNLP. Exposure toreinforcement learningand real-time model inference. Understanding ofcrypto markets, trading strategies, ortechnical analysisis a plus. Familiarity withcloud AI servicessuch asAWS SageMakerorGoogle AI Platform. Excellentanalytical, problem-solving, andcollaboration skills.

Lead Software Engineer GenAI Development and Exploration Location: India Experience: 5–10 Years Primary Skillset: Generative AI Services, Machine Learning, Python, Cloud, MLOps, Prompt Engineering About the Role: We are seeking a visionary and hands-on Lead Software Engineer to drive Generative AI development and exploration initiatives within our technology innovation team. This role is ideal for someone passionate about applying GenAI to real-world enterprise challenges and who enjoys building proof-of-concepts, production-ready solutions, and scalable AI platforms. Key Responsibilities: • Lead the design and development of Generative AI applications , including LLM-based solutions, document intelligence, summarization, chatbot development, and intelligent automation. • Evaluate and integrate GenAI services and APIs (e.g., Vertex AI , OpenAI , Anthropic , HuggingFace , etc.) into existing or new platforms. • Build scalable backend services and data pipelines to support AI/ML workloads. • Explore and validate use cases across multiple business functions for GenAI application and automation opportunities. • Mentor junior engineers on GenAI design patterns, best practices, and engineering discipline. • Partner with data scientists, product teams, and business stakeholders to define requirements, build MVPs, and iterate toward enterprise-scale solutions. • Champion MLOps practices for GenAI model deployment, monitoring, and lifecycle management. • Contribute to technical research, architecture recommendations, and the long-term GenAI roadmap. Qualifications: • Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field. • 8+ years of experience in software engineering with 2–3 years working directly with AI/ML models or GenAI solutions . • Strong experience with Python , cloud platforms (especially GCP Vertex AI ), and ML frameworks. • Hands-on experience with LLMs , prompt engineering , fine-tuning, and embeddings. • Experience in building and integrating GenAI services in real-time or batch applications. • Solid understanding of machine learning lifecycle , data preprocessing , and deployment pipelines . • Familiarity with CI/CD pipelines , API development , and cloud-native architectures . • Excellent communication, collaboration, and stakeholder management skills.

Main Skills : AI Architect (Solutions/Technical) - LLM/Gen AI + Any Cloud + Python Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop applications and systems utilizing AI tools and Cloud AI services. - Apply GenAI models as part of the solution. - Implement deep learning and neural networks. - Create chatbots and work on image processing. - Collaborate with team members to provide innovative solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP). - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - The candidate should have a minimum of 2 years of experience in Natural Language Processing (NLP). Pls share cvs to parul@mounttalent.com

We're looking for an experienced AI/ML Technical Lead to architect and drive the development of our intelligent conversation engine. Youll lead model selection, integration, training workflows (RAG/fine-tuning), and scalable deployment of natural language and voice AI components. This is a foundational hire for a technically ambitious platform. Role & responsibilities AI System Architecture: Design the architecture of the AI-powered agent including LLM-based conversation workflows, voice bots, and follow-up orchestration. Model Integration & Prompt Engineering: Leverage APIs from OpenAI, Anthropic, or deploy open models (e.g., LLaMA 3, Mistral). Implement effective prompt strategies and retrieval-augmented generation (RAG) pipelines for contextual responses. Data Pipelines & Knowledge Management: Build secure data pipelines to ingest, embed, and serve tenant-specific knowledge bases (FAQs, scripts, product docs) using vector databases (e.g., Pinecone, Weaviate). Voice & Text Interfaces: Implement and optimize multimodal agents (text + voice) using ASR (e.g., Whisper), TTS (e.g., Polly), and NLP for automated qualification and call handling. Conversational Flow Orchestration: Design dynamic, stateful conversations that can take actions (e.g., book meetings, update CRM records) using tools like LangChain, Temporal, or n8n. Platform Scalability: Ensure models and agent workflows scale across tenants with strong data isolation, caching, and secure API access. Lead a Cross-Functional Team: Collaborate with backend, frontend, and DevOps engineers to ship intelligent, production-ready features. Monitoring & Feedback Loops: Define and monitor conversation analytics (drop-offs, booking rates, escalation triggers), and create pipelines to improve AI quality continuously. Preferred candidate profile Qualifications Must-Haves: 5+ years of experience in ML/AI, with at least 2 years leading conversational AI or LLM projects. Strong background in NLP, dialog systems, or voice AI preferably with production experience. Experience with OpenAI, or open-source LLMs (e.g. LLaMA, Mistral, Falcon) and orchestration tools (LangChain, etc.). Proficiency with Python and ML frameworks (Hugging Face, PyTorch, TensorFlow). Experience deploying RAG pipelines, vector DBs (e.g. Pinecone, Weaviate), and managing LLM-agent logic. Familiarity with voice processing (ASR, TTS, IVR design). Solid understanding of API-based integration and microservices. Deep care for data privacy, multi-tenancy security, and ethical AI practices. Nice-to-Haves: Experience with CRM ecosystems (e.g. Salesforce, HubSpot) and how AI agents sync actions to CRMs. Knowledge of sales pipelines and marketing automation tools. Exposure to calendar integrations (Google Calendar API, Microsoft Graph). Knowledge of Twilio APIs (SMS, Voice, WhatsApp) and channel orchestration logic. Familiarity with Docker, Kubernetes, CI/CD, and scalable cloud infrastructure (AWS/GCP/Azure). What We Offer Founding team role with strong ownership and autonomy Opportunity to shape the future of AI-powered sales Flexible work environment Competitive salary Access to cutting-edge AI tools and training resources Post your resume and any relevant project links (GitHub, blog, portfolio) to career@sourcdeskglobal.com. Include a short note on your most interesting AI project or voicebot/conversational AI experience.

About the Role:A NASDAQ-listed company that has successfully maintained its position as a front-runner in the technology sector is looking to onboard a skilled Rust Developer. The ideal candidate will contribute to expanding the power of AI in the mobile coding ecosystem, with the ultimate goal of creating AI-powered tools for the development domain. The company is developing the next generation of coding assisting agents with a wide range of applications. This is an exciting opportunity for those eager to work in a fast-paced environment. Responsibilities: Navigate and modify complex Rust codebases using CLI tools like grep and ripgrep. Implement new features with a focus on memory safety, ownership rules, and type correctness. Write and execute tests using cargo test, including property-based testing (proptest or quickcheck). Refactor existing Rust code while maintaining functionality and performance. Debug and fix memory safety, ownership, and concurrency-related issues. Set up and manage Rust development environments using cargo, including handling dependencies and feature flags. Ensure best practices in Rust development, including proper error handling, concurrency safety, and efficient memory usage. Requirements: Strong experience with Rust programming language concepts, including ownership, borrowing, and lifetimes. Familiarity with Rust frameworks like Tokio, Actix, Rocket, and libraries such as Serde and Rayon. Experience with Rusts testing ecosystem, including unit, integration, and property-based testing. Knowledge of multi-threading and asynchronous programming in Rust. Ability to work with complex architectural patterns and refactor code without introducing regressions. Strong debugging skills, including fixing memory and concurrency issues. Experience with performance profiling and benchmarking in Rust (cargo bench). 4+ years of work experience in Rust development. Nice to Have: Experience contributing to open-source Rust projects. Familiarity with writing Rust documentation and designing APIs with doc-tests. Search Guidance: Mandatory Skills: Rust - 3 yrs, Rust Frameworks (Tokio, Actix, Rocket) - 3 yrs, Libraries (Serde and Rayon) - 3 years. Nice To Have: Rust documentation and designing APIs with doc-tests. Total Years of Experience: 5+ years. Overlap Required: 4 hours PST. Pre-screening Questions: Based on the Job Description, are you interested in research-based work, model training, puzzle-solving, or prompt generation? Can you talk about a project where you were responsible for reviewing code and helping a team optimize solutions? Provide a self-rating (1-10, 10 being expert) for the following skills: Java, Code Review, Problem Solving. Contact:Interested candidates can share their resumes at 9032956160. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, RemoteSoftwareDevelopment

About the Role:A NASDAQ-listed company that has successfully maintained its position as a front-runner in the technology sector is looking to onboard a skilled Rust Developer. The ideal candidate will contribute to expanding the power of AI in the mobile coding ecosystem, with the ultimate goal of creating AI-powered tools for the development domain. The company is developing the next generation of coding assisting agents with a wide range of applications. This is an exciting opportunity for those eager to work in a fast-paced environment. Responsibilities: Navigate and modify complex Rust codebases using CLI tools like grep and ripgrep. Implement new features with a focus on memory safety, ownership rules, and type correctness. Write and execute tests using cargo test, including property-based testing (proptest or quickcheck). Refactor existing Rust code while maintaining functionality and performance. Debug and fix memory safety, ownership, and concurrency-related issues. Set up and manage Rust development environments using cargo, including handling dependencies and feature flags. Ensure best practices in Rust development, including proper error handling, concurrency safety, and efficient memory usage. Requirements: Strong experience with Rust programming language concepts, including ownership, borrowing, and lifetimes. Familiarity with Rust frameworks like Tokio, Actix, Rocket, and libraries such as Serde and Rayon. Experience with Rusts testing ecosystem, including unit, integration, and property-based testing. Knowledge of multi-threading and asynchronous programming in Rust. Ability to work with complex architectural patterns and refactor code without introducing regressions. Strong debugging skills, including fixing memory and concurrency issues. Experience with performance profiling and benchmarking in Rust (cargo bench). 4+ years of work experience in Rust development. Nice to Have: Experience contributing to open-source Rust projects. Familiarity with writing Rust documentation and designing APIs with doc-tests. Search Guidance: Mandatory Skills: Rust - 3 yrs, Rust Frameworks (Tokio, Actix, Rocket) - 3 yrs, Libraries (Serde and Rayon) - 3 years. Nice To Have: Rust documentation and designing APIs with doc-tests. Total Years of Experience: 5+ years. Overlap Required: 4 hours PST. Pre-screening Questions: Based on the Job Description, are you interested in research-based work, model training, puzzle-solving, or prompt generation? Can you talk about a project where you were responsible for reviewing code and helping a team optimize solutions? Provide a self-rating (1-10, 10 being expert) for the following skills: Java, Code Review, Problem Solving. Contact:Interested candidates can share their resumes at 9032956160. Location: Chennai, Hyderabad, Kolkata, Pune, Ahmedabad, Remote

About the Role:A NASDAQ-listed company that has successfully maintained its position as a front-runner in the technology sector is looking to onboard a skilled Rust Developer. The ideal candidate will contribute to expanding the power of AI in the mobile coding ecosystem, with the ultimate goal of creating AI-powered tools for the development domain. The company is developing the next generation of coding assisting agents with a wide range of applications. This is an exciting opportunity for those eager to work in a fast-paced environment. Responsibilities: Navigate and modify complex Rust codebases using CLI tools like grep and ripgrep. Implement new features with a focus on memory safety, ownership rules, and type correctness. Write and execute tests using cargo test, including property-based testing (proptest or quickcheck). Refactor existing Rust code while maintaining functionality and performance. Debug and fix memory safety, ownership, and concurrency-related issues. Set up and manage Rust development environments using cargo, including handling dependencies and feature flags. Ensure best practices in Rust development, including proper error handling, concurrency safety, and efficient memory usage. Requirements: Strong experience with Rust programming language concepts, including ownership, borrowing, and lifetimes. Familiarity with Rust frameworks like Tokio, Actix, Rocket, and libraries such as Serde and Rayon. Experience with Rusts testing ecosystem, including unit, integration, and property-based testing. Knowledge of multi-threading and asynchronous programming in Rust. Ability to work with complex architectural patterns and refactor code without introducing regressions. Strong debugging skills, including fixing memory and concurrency issues. Experience with performance profiling and benchmarking in Rust (cargo bench). 4+ years of work experience in Rust development. Nice to Have: Experience contributing to open-source Rust projects. Familiarity with writing Rust documentation and designing APIs with doc-tests. Search Guidance: Mandatory Skills: Rust - 3 yrs, Rust Frameworks (Tokio, Actix, Rocket) - 3 yrs, Libraries (Serde and Rayon) - 3 years. Nice To Have: Rust documentation and designing APIs with doc-tests. Total Years of Experience: 5+ years. Overlap Required: 4 hours PST. Pre-screening Questions: Based on the Job Description, are you interested in research-based work, model training, puzzle-solving, or prompt generation? Can you talk about a project where you were responsible for reviewing code and helping a team optimize solutions? Provide a self-rating (1-10, 10 being expert) for the following skills: Java, Code Review, Problem Solving. Contact:Interested candidates can share their resumes at 9032956160. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Hello, Urgent job openings for Data Science(Gen AI & LLM) :- Team Lead/ Sr Engineer @ GlobalData(Hyd). Looking for candidates with experience in Gen AI, LLM, RAG frameworks Job Description given below please go through to understand the 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) - Lead/SSE @ 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. Job Description: Senior Engineer/Lead - Gen AI/LLM Position Overview:- We are seeking a talented Lead/Senior Engineer AI/LLM Developer to join our team and drive the development of cutting-edge artificial intelligence solutions using large language models. In this role, you will design, build, and optimize LLM-based applications that solve complex business problems while maintaining high standards of performance, scalability, and reliability. Key Responsibilities:- Design and implement sophisticated AI applications leveraging state-of-the-art LLM technologies Develop efficient solutions for LLM integration, fine-tuning, and deployment Optimize model performance, latency, and resource utilization Build and maintain robust data pipelines for training and inference Implement advanced prompt engineering techniques and retrieval-augmented generation (RAG) Develop evaluation frameworks to measure AI system performance and output quality Collaborate with cross-functional teams to understand requirements and deliver solutions Mentor junior developers and share AI/LLM knowledge across the organization Participate in code reviews and ensure adherence to best practices Role Requirement :- 5+ years of software development experience with at least 3 years focused on AI/ML technologies Strong experience working with transformer-based models and LLM APIs Proficiency in Python and relevant AI/ML frameworks (PyTorch, TensorFlow, Hugging Face) Experience with vector databases and semantic search technologies Solid understanding of prompt engineering, RAG, and fine-tuning techniques Familiarity with cloud platforms (AWS, Azure, GCP) for AI model deployment Strong problem-solving skills and attention to detail.' Experience with LLM optimization techniques like quantization and distillation Knowledge of AI evaluation metrics and benchmarking methodologies Understanding of multimodal AI systems (text, image, audio) Experience with containerization and orchestration tools (Docker, Kubernetes) Contributions to open-source AI projects or research publications Familiarity with AI ethics and responsible AI development Qualifications:- Bachelors degree in computer science, AI, Machine Learning, or related field Master's in AI, B,Tech,MCA, or related field Thanks & Regards, Salim (Human Resources)

Subject: Exciting Opportunity for Data Scientist- Face-to-Face Interview on 31st May at EY Hyderabad Office Dear Candidate, We hope this message finds you well! This is Nisha, Talent Acquisition Specialist at EY, and I am excited to inform you about an upcoming Hiring event for Data Science Role- at the EY Hyderabad Office . We are looking for talented professionals to join our team. Below are the details for the open positions: Position : Data Scientist Experience : 4-8 years Location : Hyderabad Interview Mode : Face-to-face interview at the EY Hyderabad office Interview Date : 31st May 2025 If you are interested in applying, please use the following link to apply for the role: Career Opportunities: EY - GDS Consulting - AI and DATA -Gen AI - Senior (1606310) Additionally, please share the following details in the format provided below: Years of Experience Current Compensation Relevant Experience in : GEN AI, LLM, NLP, Python, AI Solution, AI ,ML Expected Compensation Notice Period/ If your serving notice period mention last working day Will you be available to attend interview on 31st May at Hyderabad Office Yes / No Please confirm your availability for the interview by replying to Nisha.V@gds.ey.com with the requested details and updated resume. We look forward to discussing your potential with EY! Best Regards, Nisha Lead Executive