450 Nlp Jobs - Page 5

About the Role: We are seeking a highly motivated and skilled Data Scientist with 25 years of industry experience in Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI (GenAI). The ideal candidate will have a strong foundation in Python programming and a passion for solving complex business problems using data. You will work on designing, developing, and deploying scalable AI solutions for real-world applications across domains. This is a hands-on role requiring technical expertise, experimentation, and collaboration across cross-functional teams. Key Responsibilities: Perform Exploratory Data Analysis (EDA) to uncover patterns, insights, and anomalies. Design, build, and optimize ML and DL models using Python for diverse business use cases. Develop and apply NLP techniques for text analysis and language understanding. Build, fine-tune, and deploy Generative AI solutions (LLMs, VLMs, RAG) tailored to enterprise needs. Create and maintain end-to-end ML pipelines , including data preprocessing, feature engineering, training, evaluation, and deployment. Manage and monitor models in production using MLOps workflows (CI/CD, model tracking, versioning, etc.). Stay updated with recent developments in AI/ML and continuously explore new tools and frameworks. Required Skills & Qualifications: Strong programming proficiency in Python is essential. Experience with Python libraries such as pandas, NumPy, scikit-learn, NLTK, Transformers (Hugging Face), TensorFlow/PyTorch . Solid understanding of machine learning algorithms, statistical modeling, and deep learning concepts. Hands-on experience in Natural Language Processing and Generative AI techniques (e.g., LLMs, RAG, VLMs, Agents). Experience with EDA, data preprocessing , and feature engineering. Familiarity with MLOps tools like MLflow, DVC or similar. Experience with Docker and containerized deployment of ML models. Working knowledge of databases both SQL and NoSQL . Experience deploying ML models in production environments . Familiarity with version control tools (e.g. Git) and collaborative workflows. Exposure to cloud platforms like AWS, GCP, or Azure is a plus.

Build and deploy scalable ML models and MLOps pipelines in collaboration with data scientists Required Candidate profile 6–12 yrs in ML development, Python, model tuning, and enterprise AI deployment.

Job Title: AI/ML and Chatbot Lead Experience Level: 10+ Years (Lead/Architect level) Location: Remote Employment Type: Full-time No. of Positions: 1 Job Overview: We are seeking a visionary and hands-on AI/ML and Chatbot Lead to spearhead the design, development, and deployment of enterprise-wide Conversational and Generative AI solutions. This role will establish and scale our AI Lab function, define chatbot and multimodal AI strategies, and deliver intelligent automation solutions that enhance user engagement and operational efficiency. Key Responsibilities Define and lead the enterprise-wide strategy for Conversational AI, Multimodal AI, and Large Language Models (LLMs). Build an AI/Chatbot Lab , creating a roadmap and driving innovations across in-app, generative, and conversational AI. Architect scalable AI/ML systems including presentation, orchestration, AI, and data layers. Collaborate with business stakeholders to assess needs, conduct ROI analyses, and deliver impactful AI use cases. Identify and implement agentic AI capabilities and SaaS optimization opportunities. Deliver POCs, pilots, and MVPs owning the design, development, and deployment lifecycle. Lead, mentor, and scale a high-performing team of AI/ML engineers and chatbot developers . Build multi-turn, memory-aware conversations using frameworks like LangChain or Semantic Kernel . Integrate bots with platforms like Salesforce, NetSuite, Slack , and custom applications via APIs/webhooks. Implement and monitor chatbot KPIs using tools like Kibana , Grafana , and custom dashboards. Champion ethical AI , governance, and data privacy/security best practices. Must-Have Skills 10+ years in AI/ML; demonstrable success in chatbot, conversational AI , and generative AI implementations. Experience building and operationalizing an AI/Chatbot architecture framework used enterprise-wide. Expertise in: Python , LangChain, ElasticSearch, NLP (spaCy, NLTK, Hugging Face) LLMs (e.g., GPT, BERT), RAG, prompt engineering Chatbot platforms (Azure OpenAI, MS Bot Framework), CLU, CQA AI solution deployment and monitoring at scale Familiarity with: Machine learning algorithms, deep learning, reinforcement learning NLP techniques for NLU/NLG Cloud platforms ( AWS, Azure, GCP ), Docker , Kubernetes Vector DBs (Pinecone, Weaviate, Qdrant) Semantic search, knowledge graphs, intelligent document processing Strong grasp of AI governance , documentation, and compliance standards Excellent team leadership, communication, and documentation skills Good-to-Have Skills Experience with Glean , Perplexity.ai , Rasa , XGBoost Familiarity with Salesforce , NetSuite , and business domains like Customer Success Knowledge of RPA tools like UiPath and its AI Center Role & responsibilities Interested candidate can call at 7087707007

Prompt Engineer Experience - 3 to 6 years Location - Chennai Timing - General shift Notice period - Less than 15 days Contract period - 6 months JD: Role Overview: We are looking for a talented and creative Prompt Engineer to join our AI team. In this role, you will design, develop, and refine prompts for large language models (LLMs) to solve business problems, improve product functionality, and optimize user experiences. Your work will directly impact how our products interact with users and leverage cutting-edge AI models. Responsibilities: Design and iterate on effective prompts to drive high-quality responses from LLMs (e.g., GPT-4, Claude, Gemini, etc.). Collaborate with AI researchers, data scientists, and product managers to develop prompt strategies aligned with business goals. Evaluate LLM performance, analyze outputs, and optimize prompts based on performance metrics. Conduct A/B testing of prompts and maintain a library of prompt templates. Stay current on developments in generative AI, NLP, and prompt engineering best practices. Develop documentation, tools, and internal guides to help teams effectively use LLMs. Ensure ethical and responsible use of AI systems, identifying and mitigating model bias or inappropriate outputs. Qualifications: Required: Bachelor's degree in Computer Science, Linguistics, Cognitive Science, or a related field. Strong understanding of LLMs and natural language processing (NLP). Hands-on experience with prompt design for ChatGPT, Claude, Gemini, or similar models. Excellent written communication and analytical skills. Familiarity with programming/scripting (Python preferred) and basic data handling. Preferred: Masters degree or higher in a relevant field. Experience with fine-tuning or RLHF (Reinforcement Learning with Human Feedback). Exposure to prompt chaining, function calling, and multi-model orchestration. Experience using tools such as LangChain, LlamaIndex, or vector databases like Pinecone or Weaviate. Sincerely, Varsha L TS

Hiring AI & Data Retrieval Engineer with expertise in NLQ, Text-to-SQL, LLMs, LangChain, pgVector, PostgreSQL, vector search, Python, AI libraries, Agentic AI & API integration. Exp with NLP, RAG, BI tools, live projects & LLM fine-tuning preferred.

Knowledge on Solr search, schema for various data elements and prior experience in customize/implementations. Design, develop and improve open-source search APIs and SDKs Good understanding on Solr: Stemming, NLP, Result Grouping, Nested Fields, Ranking algorithms. Good knowledge about B2B commerce application and commerce objectives. Location- Remote, Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad

We are looking for a passionate and skilled AI/ML Developer with 4 to 9 years of experience to join our team in Kolkata. The ideal candidate will have hands-on experience in building and deploying AI/ML models, with strong proficiency in Python, machine learning frameworks, and a solid understanding of modern development practices. Role & responsibilities Design, develop, and deploy machine learning and AI solutions for business needs. Work with Generative AI models, Whisper (Speech-to-Text/Text-to-Speech), and NLP-based chatbot solutions. Build and maintain scalable and reliable AI model pipelines. Collaborate with cross-functional teams using Agile methodologies. Perform data preprocessing, feature engineering, and model tuning. Deploy models to production environments and monitor performance. Integrate AI/ML solutions into web applications using technologies such as React.js, Oracle APEX, Oracle JET, and HTML5. Participate in system design and apply software engineering best practices including design patterns and testing. Preferred candidate profile AI/ML & Data: Machine Learning, Deep Learning Generative AI, Whisper (Speech-to-Text/Text-to-Speech) Chatbot Development, Natural Language Processing (NLP) AI Model Deployment (cloud/on-premise) Programming & Frameworks: Proficient in Python Experience with TensorFlow, PyTorch Frontend/Backend & Scripting: React.js, HTML5 Oracle APEX, Oracle JET Linux Shell Scripting Tools & DevOps: Docker, Git, Jira Methodologies: Agile Development System Design, Design Patterns Preferred Qualifications: Bachelors/Master’s degree in Computer Science, Engineering, or a related field. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Experience working in a product or R&D environment is a plus.

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.

Python Developer |Backend Python Developer || Back-end Developer with Python Financial Services ||AWS+PYTHON+SQL Competencies: Python, Django, Relational database understanding (viz: PostgreSQL, SQL), ETL, Database design, Strong experience in designing REST APIs, Cache, Redis, Celery, CI/CD, GCP, Kubernetes, and Docker. Responsibilities: Innovate, build, and invent on behalf of our customers. Plan, execute and maintain entire products/features that millions of customers will experience. Ability to design and code the right solutions, starting with broadly defined problems Drive best practices and engineering excellence. Work with other team members to develop the architecture and design of new and current systems. Work in an agile environment to deliver a high-quality Product. Requirements: Qualifications: B.E./B.Tech./M.E./M.Tech. from Tier-I engineering colleges with a background in backend technology A minimum of 01 years of solid backend project experience, as well as a relevant backend engineering internship with a technology company, is a bonus. Proficiency in a minimum of one advanced language, ideally Python Django experience is highly desirable Strong knowledge in data management, REST API design, and relational databases exceptional ability to solve problems Possess an excellent grasp of the fundamental concepts in computer science, including databases, object-oriented design, data structures, and algorithms. Compensation: We offer market-leading compensation, based on the skills and aptitude of the candidate.

About the Role: We are looking for a hands-on AI/ML Developer with experience in Large Language Models (LLMs), Prompt Engineering, and AI model integration. The ideal candidate should have practical experience working with AI models, fine-tuning them, optimizing prompts, and integrating them into real-world applications. This role is perfect for someone who has already worked on AI-driven applications and wants to expand their expertise by researching and implementing new AI advancements. You will have the opportunity to experiment with different LLM architectures, improve AI model efficiency, and contribute to AI-driven solutions. Key Responsibilities: LLM Development & Implementation: Work hands-on with LLMs like GPT, LLaMA, Mistral, Claude, and Gemini. Fine-tune models using Hugging Face Transformers, PyTorch, or TensorFlow. Train, optimize, and deploy LLMs for tasks like text generation, summarization, and chatbots. Prompt Engineering & Optimization: Design, test, and optimize prompts for various AI tasks. Apply Few-shot, Zero-shot, Chain of Thought (CoT), and ReAct prompting. Improve AI model accuracy by iterating and refining prompt strategies. AI Model Integration & Deployment: Develop Python-based applications that interact with LLM APIs. Build and deploy AI models using FastAPI or Flask. Work with vector databases (FAISS, ChromaDB, Pinecone) for efficient retrieval. Deploy AI models on cloud platforms (AWS, Azure, GCP) using Docker and Kubernetes. Data Processing & NLP: Preprocess and clean large-scale text datasets. Work with text embeddings, named entity recognition (NER), and knowledge retrieval. Implement vector search techniques for AI-enhanced applications. AI Research & Experimentation: Stay up to date with the latest LLM advancements and AI research papers. Implement new AI techniques into existing workflows. Optimize models using quantization, vLLM, and low-rank adaptation (LoRA). Required Skills & Experience: Must-Have Hands-on Experience: Python programming with AI/ML frameworks (Hugging Face, PyTorch, TensorFlow). Hands-on experience working with LLMs and fine-tuning. Experience in prompt engineering and optimizing AI model outputs. Building APIs with FastAPI or Flask for AI model integration. Familiarity with vector databases and embedding models. Nice to Have (or Learn on the Job): Experience with LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG). Knowledge of quantization techniques (LoRA, GPTQ, vLLM, ONNX) for efficient model deployment. Experience working with knowledge graphs and reasoning-based AI. Background in MLOps for tracking and managing AI models. Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

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

AIML Engineer, NLP, LLM, AWS, RAG Systems

We are seeking a highly experienced and strategic Senior Manager Applied Science to lead and scale our applied research and machine learning initiatives. This role involves working at the intersection of cutting-edge AI/ML technologies and real-world business challenges to drive measurable impact. Key Responsibilities: Lead a team of applied scientists and machine learning engineers to develop scalable AI/ML models. Define and drive the scientific vision, strategy, and roadmap aligned with business goals. Collaborate cross-functionally with product, engineering, and analytics teams. Stay ahead of emerging technologies and apply them to solve complex business problems. Publish research, file patents, or present findings in internal/external forums as needed. Requirements: 10+ years of experience in applied science, machine learning, or data science roles. Strong background in statistics, optimization, deep learning, NLP, or related fields. Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Proven experience in leading high-performance technical teams. Advanced degree (Ph.D. or Master’s) in Computer Science, Mathematics, Statistics, or a related field. Excellent communication and leadership skills. Preferred Qualifications: Experience in a product-led tech company or research lab environment. Track record of deploying ML models in production. Publications or patents in relevant areas.

Job Title: AI Engineer - Backend Automation (Remote) Role Overview: Looking for an experienced AI Engineer to drive backend automation for transaction monitoring, chargeback handling, and fraud detection. The ideal candidate will develop AI/GenAI-driven solutions to streamline manual processes and enhance fraud detection capabilities. Key Responsibilities: Develop AI models for real-time fraud detection and transaction anomaly detection. Implement automated chargeback handling systems using GenAI for dispute classification and resolution. Design AI-driven summarization tools to generate insights from disputed transactions. Build and deploy agentic AI models for deployment monitoring and failure detection. Develop AI-driven chatbot solutions leveraging GenAI for customer support and backend automation. Collaborate with data engineering teams to integrate AI solutions into Paymentologys Data Lakehouse. Evaluate the feasibility of in-house fraud detection models versus third-party risk engines. Optimize existing AI solutions for performance, accuracy, and scalability. Work closely with backend teams to ensure seamless integration of AI capabilities. Stay updated with the latest AI advancements to enhance Paymentologys fraud prevention strategies. Required Skills & Experience: Bachelors/Master’s degree in Computer Science, AI, Machine Learning, or related fields. 3+ years of experience in AI/ML development with a focus on backend automation. Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks. Experience with anomaly detection, fraud detection, or risk analytics. Strong knowledge of NLP, LLMs, and AI-driven document processing. Expertise in Agentic AI and GenAI for chatbot development and automation. Hands-on experience with cloud platforms (AWS, GCP, or Azure) and AI deployment. Familiarity with financial transaction data and payment processing is a plus. Excellent problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications: Experience with chatbot development for customer support automation. Knowledge of Fintech terms like multi-currency and cross-border payment systems. Exposure to regulatory compliance in financial transactions. Previous experience in fintech or payment processing companies.

MandatorySkills Strong programming experience in Java or Python (Python coding test is mandatory) Experience with Azure cloud platform 8+ years of experience in AI/ML development Expertise in LLMs, DocumentExtraction, GenAI, and NLP Hands-on with CI/CD tools and practices Real-world deployment experience of AI models Experience with POCs and pilot solutions Strong communication, collaboration, and ownership skills Ability to build integrations with existing tech stacks Experience working with business/investment professionals

Primary Skills Python Azure GenAI LLM NLP CI/CD AI Model Deployment Document Processing POC Development Key Responsibilities Develop and deploy AI solutions using Python in cloud-based environments (preferably Azure) Design and implement use cases involving LLMs, document extraction, and processing Build integrations with existing enterprise systems and investment platforms Work closely with business/investment professionals to translate requirements into AI/ML solutions Develop scalable and efficient AI/ML models with a focus on real-world deployment Lead small POCs and pilot AI projects with clear delivery ownership Maintain high code quality, follow CI/CD practices, and ensure model reliability Mandatory Requirements 8+ years of hands-on programming experience in Python (Java is a plus) Must pass a Python coding screening Proficiency with Azure Cloud Strong practical knowledge in GenAI, NLP, and LLM deployment Experience in deploying AI models in production Familiarity with CI/CD tools and pipelines Excellent collaboration and communication skills Strong sense of ownership and accountability Nice To Have Experience in finance or investment domains Solution design experience in cross-functional teams Contract Duration: 1 Year (Till 31-Dec-2025) Working Hours: 1 PM IST to 10 PM IST (45 Hours/Week) Contact: +91 90329 56160 (Contract Role | Must pass Python coding test) Application Checklist Current CTC Expected CTC Preferred Location Notice Period Immediate Joiners or Max 15 Days On

Job Description: Backend Developer (Node JS, Python, NLP, Gen AI) We are seeking highly skilled Sr. Backend Developer with an experience of 10 + Years to join our dynamic team. The ideal candidates should have strong expertise in Node.js , along with experience in Python, Generative AI (Gen AI), and Natural Language Processing (NLP) preferred. Additionally, experience working with MongoDB, AWS Lambda, and cloud-based deployments is required. Key Responsibilities: • Design, develop, and maintain scalable applications using Node.js and Python. • Implement and optimize NLP models and Gen AI solutions for various applications. • Develop and manage RESTful APIs and microservices using Node.js. • Work with MongoDB for database management and optimization. • Deploy and manage applications in AWS Lambda and other AWS services. • Collaborate with cross-functional teams to integrate AI-driven solutions into the platform. • Troubleshoot and debug applications, ensuring high availability and reliability. Required Skills & Experience: • 10 + years of hands-on experience in Backend Development using Node Js. • Strong proficiency in Python, especially in AI/ML frameworks (TensorFlow, PyTorch, etc.). • Experience working with Natural Language Processing (NLP) or Generative AI models. • Proficiency in MongoDB, including database design and performance tuning. • Hands-on experience with AWS Lambda and serverless architectures. • Strong knowledge of REST APIs, GraphQL, and microservices. • Experience with Docker, Kubernetes, and CI/CD pipelines is a plus. • Ability to work in an Agile environment and collaborate with remote teams.

Role & responsibilities Phd with 6 yrs industry exp or M.Tech + 8 yrs experience or B.tech + 10 yrs experience. -Minimum 3 yrs experience working as a Manager (only Lead experience will not qualify). -8 years experience in any of the programming languages such as Python/C++/CUDA. -8 years experience in Machine learning, Artificial intelligence, Deep learning & Computer vision. -5 years exp in Image processing -Product Company Experience is a MUST. Candidates from engineering product companies are higher chances of select. - Candidates from Tier 1 colleges like (IIT, IIIT, VIT, NIT)(Preferred) -No job hoppers(candidate must have good stability- min 2 years in an organisation) Preferred candidate profile Candidates from Semicon or manufacturing companies Candidates with more than 8 CPGA Relocation Expenses: Available. 3 day working from office. Can source from anywhere ( even international candidates )who are willing to relocate.

GEN AI EngineersRole & responsibilities Are you a driven problem solver looking to help build next generation AI solutions join Altimetrik's Generative AI engineering team. If you are looking for a rapidly growing, collaborative environment with opportunities to make an impact and grow, our GenAI engineering team would be a great fit for you! Proven expertise in Prompt Engineering. Strong knowledge of NLP techniques, including text summarization, question answering, and more. Proficient in software design patterns, with experience in writing modular, reusable, and maintainable code. Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure). Relevant experience with Docker and Kubernetes is highly desirable. Strong ability to rapidly prototype ideas and tackle complex problems with innovative solutions. Experience working within an Agile development environment. Excellent communication and presentation skills. Preferred candidate profile A Bachelor's degree in a relevant field such as Computer Science, Software Engineering, or Data Science is preferred. A Masters degree in Artificial Intelligence is a plus. 3-8 years of experience working with Python and a high level of proficiency in the language. Outstanding analytical and problem-solving abilities. Extensive experience with Generative AI, with a solid understanding of end-to-end pipelines involving Large Language Models (LLMs) such as OpenAI, Llama, Claude, etc. Skill as Mandate : - GEN AI (Minimum 6 months + experience ) Python(Strong coding skill ) Pandas Numpy

Job Title: Senior AI Engineer Generative AI (Product Development) Location: Hyderabad (Remote) Duration: 6 Months (Possible Extension) Experience Required: Minimum 12 Years Role Overview We are seeking a highly experienced Senior AI Engineer with deep expertise in Generative AI and a strong foundation in building and deploying agentic frameworks . The ideal candidate should have extensive experience in cloud infrastructure, specifically with AWS and GCP , and proven skills in full-cycle product development. The role requires a track record of working in startup environments , where the ability to adapt and drive innovative solutions is key. Key Responsibilities Design, develop, and deploy Generative AI -based applications, focusing on building and optimizing agentic frameworks for enterprise-grade products. Build and optimize LLM pipelines and integrate them with various data sources and APIs to enable scalable AI solutions. Implement robust CI/CD pipelines and software engineering best practices to ensure the reliability and scalability of AI models in production environments. Collaborate with cross-functional teams including product managers , designers , data engineers , and DevOps to bring concepts to life in a dynamic, startup-driven culture. Integrate AI services with AWS and GCP cloud platforms, ensuring scalability, security, and performance for high-volume AI workloads. Work on API integrations and ensure seamless communication between AI services and other product components. Ensure the reliability , security , and performance of AI systems through monitoring, load balancing, and containerization. Lead efforts in building and deploying AI-based agentic solutions , aimed at solving complex real-world problems. Stay updated on the latest AI trends and deep learning frameworks to continuously enhance product capabilities. Required Technical Skills Strong software engineering foundation , with deep expertise in CI/CD , unit testing , integration testing , and design patterns . Proficiency in Python , especially for building and deploying AI models, and integrating with APIs and cloud services. Extensive experience in building and deploying agentic frameworks that utilize LLMs and transformers . Strong experience working with AWS and GCP , specifically in deploying and scaling AI-driven applications . Familiarity with Git and modern version control workflows. Experience working with load balancing , high-availability systems , and techniques for managing large-scale AI workloads in the cloud. Nice-to-Have Skills Experience developing and consuming REST APIs for AI services and data integration. Familiarity with Docker for containerization, local development, and testing. Strong understanding of cloud-based data storage solutions such as AWS S3 , GCP Cloud Storage , and data lakes. Experience with Cloud AI Services such as AWS SageMaker , GCP AI Platform , and TensorFlow for scalable model deployment. Exposure to data warehousing solutions like Google BigQuery or AWS Redshift for integrating AI outputs with data systems. Experience with AI model monitoring , performance tuning , and continuous improvement of deployed models. Strong security knowledge related to cloud infrastructure, specifically for handling sensitive data in AI applications. Role & responsibilities Preferred candidate profile

Role & responsibilities As an AI lead specializing in Generative AI, and Machine Learning Engineering (MLE), you will be at the forefront of AI innovation. Your role will involve designing, deploying, and operationalizing sophisticated modelsincluding large language models (LLMs)—to solve complex business problems. You will work closely with cross-functional teams to create scalable, production-ready AI solutions that drive intelligent automation and creativity across industries. Your Key Responsibilities: Generative AI, NLP & MLE: Design, develop, deploy, and scale advanced applications using Generative AI models (e.g., GPT, LLaMA, Mistral), NLP techniques, and MLE/MLOps best practices to solve business challenges and unlock new opportunities. Model Customization & Fine-Tuning: Apply techniques such as LoRA, PEFT, and fine-tuning of LLMs to build domain-specific models aligned with business use cases, with a focus on making them deployable in real-world environments. ML Engineering & Deployment: Implement end-to-end ML pipelines—including data preprocessing, model training, versioning, testing, and deployment—using tools like MLflow, Docker, Kubernetes, and CI/CD practices. Innovative Problem Solving: Leverage cutting-edge AI and ML methodologies to solve practical business problems and deliver measurable results. Scalable AI Solutions: Ensure robust deployment, monitoring, and retraining of models in production environments, working closely with data engineering and platform teams. Data-Driven Insights: Conduct deep analysis of structured and unstructured data to uncover trends, guide decisions, and optimize AI models. Cross-Functional Collaboration: Partner with Consulting, Engineering, and Platform teams to integrate AI/ML solutions into broader architectures and business strategies. Client Engagement: Work directly with clients to understand requirements, present tailored AI solutions, and provide advisory on the adoption and operationalization of Generative AI and ML.

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. - Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

Seeking a experienced AI/ML Trainer. The ideal candidate will have a strong background in artificial intelligence and machine learning, with the ability to effectively communicate complex concepts to a diverse audience. Proficiency in Python, NLP

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. - Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

Role & responsibilities We are looking for Data Scientist position with US MNC company for permanent role, Remote. Preferred candidate profile Mandatory Skills : 5 Years + relevant experience in data science. Experience in RAG implementation pipeline. Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. Proficiency in Programming Languages such as Python, SQL, and other relevant languages. Experience in the Financial Services Industry and an understanding of compliance standards. (Preferred) Experience with Master data management, Data Wrangling and ETL Processes. Experience with data and AI/ML Technologies: Such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. Certification in Data Science or AI/ML.