1522 Openai Jobs - Page 31

Required Skills & Qualifications: 0–1 years of experience in AI/ML with a focus on Python-based development . Strong understanding of ML fundamentals and experience using frameworks like Hugging Face Transformers . Exposure to Gen-AI tools such as OpenAI (GPT-3.5/4), Claude, LLaMA, or similar APIs. Understanding of NLP tasks such as summarization, sentiment analysis, entity recognition, etc. Curiosity and ability to stay current with research papers, GitHub projects, and AI trends. Preferred (Nice to Have): Hands-on experience with RAG , Vector Databases (like FAISS, ChromaDB, Pinecone). Knowledge of prompt engineering , tokenization , attention mechanisms , and transformers . Exposure to multi-modal models , LLM orchestration , or chatbot development . Familiarity with cloud services (AWS, GCP, or Azure) and containerized deployments (Docker). Show more Show less

We are seeking a highly skilled and experienced Data Scientist to join our team and work on the development of Language Models (LLMs) to solve analytical use cases. As a Data Scientist, you will play a crucial role in leveraging the power of Natural Language Processing (NLP) to drive actionable insights and solve complex business challenges. Your expertise will contribute to the creation of cutting-edge language models that enhances process efficiency and drive business growth for our clients. Responsibilities Design and optimize language models that can analyze and understand textual data. Your work will enable us to uncover meaningful patterns, trends, and insights from unstructured information, ultimately solving analytical use cases. Utilize sophisticated algorithms and methodologies to refine and improve the performance of our models, enabling accurate predictions and actionable outputs for analytical use cases. Stay informed about the latest advancements in NLP and LLM models and help us identify and adopt cutting-edge techniques. Enable us to continuously improve our language models and effectively address diverse analytical use cases. Work closely with cross-functional teams to address complex business challenges using LLM models. Help define the requirements to build and scale large language models across our customer base. Own and deliver AI enablement projects, including building POCs and delivering thought leadership. Provide data-driven insights and recommendations that support decision-making processes and enable us to overcome analytical hurdles. Document your methodologies, experiments, and results in clear and concise terms. Effectively communicate complex concepts and findings to both technical and non-technical stakeholders. Educating individuals or teams on the concepts, tools, and applications of Generative AI technologies, blending training, technical expertise, and practical guidance. Qualifications A minimum of 5 years of experience in analytics preferably in Banking and Financial Services A minimum of 3 years of hands-on experience working on NLP, Deep learning and machine learning models and LLMs to solve analytical use cases. Experience working with Large Language Models (LLMs), including various prompt engineering techniques, word embeddings and vector databases. Azure stack (AI Search, OpenAI) and understanding of Agentic Architecture is a plus. Experience with one or more of the following tools and frameworks – LangChain, LangGraph, OpenAI Assistants API, AutoGen, etc. Knowledge of various cloud services (AWS, Azure, GCP) and their management. Experience with cloud native applications and/or deployment is a plus. Excellent problem-solving and analytical skills, with the ability to work on complex projects and deliver high-quality results. Strong knowledge and understanding of Natural Language Processing (NLP) techniques and algorithms, and their practical applications in addressing analytical challenges. Proficiency in Python and having working knowledge of other programming languages is a plus, and experience with NLP libraries. Knowledge of frontend components and full-stack integration is a plus. Experience with large-scale data processing and distributed computing frameworks is a plus. Strong communication skills, both written and verbal, with the ability to convey complex ideas to diverse stakeholders. A track record of staying up to date with the latest advancements in NLP research and incorporating new techniques into practical applications. Join our team of dedicated professionals and contribute to the development of cutting-edge Large Language Models (LLMs) that solve analytical use cases, enabling data-driven decision making and delivering actionable insights. Apply today and be part of a team that drives innovation and utilizes the power of natural language to solve complex business challenges! Show more Show less

Job Summary Senior Full Stack Developer with Azure Cloud experience: Required Skills: Experience: Atleast 5+ years in full stack software development, with proficiency in the following areas: Frontend: React (v18+), Redux, HTML5, CSS3, JavaScript/TypeScript, Angular JS Backend: Node.js (with Express), MongoDB, MYSQL and RESTful API development Cloud: Azure and Experience with AWS services DevOps Practices: Familiarity with modern practices, including Continuous Integration/Continuous Deployment (CI/CD) and version control using Git Security Awareness: Knowledge of security best practices, including authentication, authorization, and data encryption (JWT, OAuth, etc.) Testing Expertise: Strong skills in testing and Test Driven Development (TDD) Critical Thinking: Excellent critical thinking skills with the ability to architect scalable and maintainable solutions Leadership: Experience in guiding technical decisions Communication: Outstanding communication skills, with the ability to explain complex concepts to non technical team members Collaboration: A strong drive to work collaboratively with cross functional teams, including product owners, and developers Bonus Qualifications: Familiarity with automated testing frameworks, such as Cypress, Selenium and Appium Experience with real time data applications (Socket.io, WebSockets) Knowledge of AI tools / OpenAI API, GROK ET AL Proficiency In following skills: ¿ Front End Development: Knowledge of HTML, CSS, and JavaScript. ¿ JavaScript Frameworks: Proficiency in JavaScript frameworks like React.js, Angular.js. ¿ Back End Programming Languages: Java, Python, Node.js. ¿ Databases: MySQL, Elastic, Cosmos DB, Oracle ¿ Version Control Systems: Git, JFROG ¿ Web Server Technologies: Apache, Nginx ¿ HTTP and REST: HTTP and RESTful design principles for APIs ¿ Web Application Architecture: application scalable and maintainable. ¿ Testing and Debugging: Knowledge of testing frameworks like Mocha and debugging processes. ¿ Security: Awareness of security concerns and how to prevent common security threats. ¿ Data Structures and Algorithms ¿ Deployment and DevOps: Docker, Jenkins ¿ Azure: Deep understanding of cloud service platform such as Azure ¿ Infrastructure as Code (IaC): Terraform ¿ Networking: Knowledge of networking topics, particularly in a cloud context, including DNS, TCP/IP, HTTP/S, VPNs, and firewalls. ¿ Proficiency in Power BI: Deep understanding of Power BI Desktop, Power BI Service, and the ability to design compelling dashboards and reports using these tools. ¿ Data Modeling: Ability to create and understand data models, including the relationships between different data sets. ¿ DAX and M Queries: Proficiency in Data Analysis Expressions (DAX) and M language to manipulate data and create complex calculations. ¿ SQL Knowledge: Strong SQL skills are often required to write queries, create views, stored procedures, and manipulate databases. ¿ Data Visualization: Strong skills in data visualization and the ability to choose the right visuals based on the data and the business requirements. ¿ Data Analysis: Ability to analyze data and draw out insights that can be represented through reports and dashboards. ¿ Understanding of ETL Processes: Knowledge of Extract, Transform, Load (ETL) processes to prepare data for use in Power BI. ¿ Data Warehousing Concepts: Understanding of data warehousing concepts such as star schema, snowflake schema, and OLAP cube. ¿ Soft Skills: Good communication skills, problem solving ability, and a lifelong learning attitude. Show more Show less

About Energy Exemplar In an era where the world is rapidly advancing towards a cleaner future through decarbonization, stakeholders from across the entire energy value chain are having to navigate the complexities of the energy ecosystem. We seek to enable our customers to do so with confidence . Our mission: Empowering Transformative Energy Decisions. Founded in 1999 in Adelaide, Australia, Energy Exemplar’s PLEXOS ® modeling and simulation software is trusted by innovative organizations across the globe. On one unified platform, stakeholders from across the entire energy value chain are revolutionizing the energy ecosystem and seamlessly planning for the future of energy with unprecedented clarity, speed, and innovation. Our impact is global and is being recogni z ed across the industry : Finalist for the 2024 Reuters Global Energy Transition Awards in the 'Technologies of Change' category Finalist for the 2024 Go:Tech Awards in the 'Most Innovative Use of Technology’ category 2022 USEA/USAID Corporate Volunteer of the Year 2022 Impact Award Winner for our impact on the energy industry and the current energy transition At Energy Exemplar, we believe in empowering our people by offering flexibility in how, when, and where they work. This flexibility has been a cornerstone of our success, fueling significant growth over the years, with the company expanding at an impressive rate of approximately 30% year over year . We understand that the best results come when our team members can balance their professional and personal lives, so we support various working arrangements that help you thrive. We don’t just celebrate the excellence of our product s but champion the quality of our people. They own their outcomes and perform to their best – every day. whether you're working from home, in the office, or on the go. Our flexible work culture fosters innovation, collaboration, and trust, making it easier to stay engaged and connected, no matter where you are. That’s what makes us who we are and a great place to work. Our core values ‘Customer Success ’ , ‘One Global Team ’ , ‘Integrity and Ownership’ and ‘Innovation Excellence’ reflect the way we work and are always a t the forefront of everything we do . About the Position Energy Exemplar is the market leader in Energy Simulation Software. We exist so that our customers can make the most informed decisions at the most impactful times and want you to be part of that success. We are calling leaders who love building products, innovating, prototyping, and providing exceptional user experiences. As a leader in this space, you’ll be responsible for delivering high-performing, scalable, cloud-based solutions using .NET while also driving innovative Generative AI initiatives. You’ll focus on solving complex technical challenges, managing product development life-cycles, and contributing to our GenAI transformation strategy. You’ll collaborate deeply with product, data, and AI/ML teams to shape how GenAI can augment product capabilities, enhance workflows, and deliver intelligence at scale. If you're excited about the intersection of engineering leadership, modern product development, and the potential of GenAI , this is the role for you. Key Accountabilities & Duties Own planning to delivery of quality product with a regular and swift cadence Lead a team of enthusiastic developers Champion the integration of GenAI capabilities into existing and new products Control regression and issues through progressive measures Collaborate with global teams regularly. Can get their hands dirty to debug or build features as required Partner with cross-functional teams including Product, Data Science, Customer Support, and Sales to define and deliver impactful GenAI features . Plan, implement, and release product based on the Agile scrum development process Lead the technical development of multiple projects, including GenAI -driven initiatives Building highly scalable cloud based SAAS application using Open Stack Extend the life of matured products with optimized sustenance engineering practices Mentor, coach & build product team focused on outcomes Influenc e the product teams for extreme ownership of the deliverables. Drive DevOps transformation using Agile and SCRUM methodologies. Candidate Requirements & Qualifications Recent experience working in product company 10 plus years’ experience in product development field with hands on experience. Rich experience with .Net, C# or relevant technologies with SQL Server or any RDBMS Experience with cloud-based application with AWS or Azure Experience with building micro services & horizontal & vertical scalable applications. Sound awareness of web security principles OWASP, PII, GDPR Strong logical, analytics and problem-solving skills 2+ years’ experience with people management responsibility Must be able to work effectively across team boundaries, receiving and delivering requirements from multiple teams in the organization · Strong organizational skills with ability to handle various tasks, attention to detail Awareness or practical exposure to Big Data, Machine Learning, or GenAI technologies such as OpenAI, Azure OpenAI, LangChain, or similar tools Ability to assess and integrate GenAI solutions into enterprise SaaS applications Strong oral and written communication skills Good understanding of SCRUM is desired Awareness of big data & machine learning technologies Engineering graduates or higher. Preferred Qualifications: Experience leading GenAI or AI/ML-powered product initiatives Familiarity with prompt engineering, LLM tuning, or working with foundation models Management Training and Experience is highly recommended Good understanding of SCRUM is desired Education/ Licensing/Certification: Master’s degree in engineering, preferably Electrical/Electronics/Computer from an accredited institution. Above all, to be successful in this role the successful candidate will have: Outstanding attention to detail – Must have excellent attention to detail when analysing data and preparing / issuing reports for customers. An analytical mind – Must have the ability to effectively analyse data and identify patterns / trends across situations that are not obviously related, and to identify key or underlying issues in complex situations. A strategic mind – Must have the ability to think strategically, conceptually, imaginatively, systematically, and opportunistically. Initiative – Must be proactive and have the ability to initiative actions based on own interpretation or understanding of varying situations. Patience - Governments and energy organizations can move very slow, very fast and everything in between. You will have to accommodate varying levels of commitment and timing and not push a situation that requires patience. Emotional Intelligence - You need to feel the customers situation, problems, sense of urgency, energy. Resilience and Tenacity – Successful candidates will be willing to work under pressure in a dynamic environment. Curiosity - We are looking for someone who is a lifelong learner. We want someone who is naturally curious and passionate about learning. Excellent Communication - Spoken and written communications skills are tremendously important in this role. You will need to be an excellent communicator to be successful in this role. Flexibility - Comfort with change and working in a sometimes-uncertain environment will be key. Key Stakeholder Relationships This role works collaboratively with all Energy Exemplar staff, particularly: India Centre Of Excellence colleagues Global Product Delivery Team Global Product Development Team Global Support Team Energy Exemplar is an equal opportunities employer and we value your unique identity and perspective . We are fully committed to providing and fostering a workplace that reflects the diversity of society. Bring your authentic self and help us build an inclusive world together! To support you in being the best version of yourself during the application and interview process, please let us know if you have any specific requirements. Show more Show less

Job description Job description This is a permanent work from home position from anywhere in India Notice period - less than 30 Days (Immediate joiners preferred) We are seeking a Generative AI Engineer with 5 + years of experience in machine learning, deep learning, and large language models (LLMs) . The ideal candidate will lead the design, development, and deployment of AI-driven solutions for text, image, and speech generation using cutting-edge GenAI frameworks and cloud platforms . Key Responsibilities: Develop and fine-tune Generative AI models (LLMs, GANs, Diffusion Models, VAEs). Implement NLP, computer vision, and speech-based AI applications . Optimize model performance, scalability, and efficiency for production use. Work with transformer architectures (GPT, BERT, T5, LLaMA, etc.). Deploy AI models on AWS, Azure, or GCP using MLOps and containerization. Design LLM-based applications using LangChain, vector databases, and prompt engineering . Collaborate with cross-functional teams to integrate AI solutions into enterprise applications . Stay ahead of AI/ML trends and advancements to drive innovation. Required Skills: GenAI Frameworks TensorFlow, PyTorch, Hugging Face, OpenAI API LLM Fine-tuning, RAG (Retrieval-Augmented Generation), Prompt Engineering Cloud AI Services AWS SageMaker, Azure OpenAI, Google Vertex AI Programming & Data Engineering Python, PyTorch, LangChain, SQL, NoSQL MLOps & Deployment – Docker, Kubernetes, CI/CD, Vector Databases (FAISS, Pinecone) Show more Show less

Overview: We are looking for a hands-on, full-cycle AI/ML Engineer who will play a central role in developing a cutting-edge AI agent platform. This platform is designed to automate and optimize complex workflows by leveraging large language models (LLMs), retrieval-augmented generation (RAG), knowledge graphs, and agent orchestration frameworks. As the AI/ML Engineer, you will be responsible for building intelligent agents from the ground up — including prompt design, retrieval pipelines, fine-tuning models, and deploying them in a secure, scalable cloud environment. You’ll also implement caching strategies, handle backend integration, and prototype user interfaces for internal and client testing. This role requires deep technical skills, autonomy, and a passion for bringing applied AI solutions into real-world use. Key Responsibilities: Design and implement modular AI agents using large language models (LLMs) to automate and optimize a variety of complex workflows Deploy and maintain end-to-end agent/AI workflows and services in cloud environments, ensuring reliability, scalability, and low-latency performance for production use Build and orchestrate multi-agent systems using frameworks like LangGraph or CrewAI, supporting context-aware, multi-step reasoning and task execution Develop and optimize retrieval-augmented generation (RAG) pipelines using vector databases (e.g., Qdrant, Pinecone, FAISS) to power semantic search and intelligent document workflows Fine-tune LLMs using frameworks such as Hugging Face Transformers, LoRA/PEFT, DeepSpeed, or Accelerate to create domain-adapted models Integrate knowledge graphs (e.g., Neo4j, AWS Neptune) into agent pipelines for context enhancement, reasoning, and relationship modeling Implement cache-augmented generation strategies using semantic caching and tools like Redis or vector similarity to reduce latency and improve consistency Build scalable backend services using FastAPI or Flask and develop lightweight user interfaces or prototypes with tools like Streamlit, Gradio, or React Monitor and evaluate model and agent performance using prompt testing, feedback loops, observability tools, and safe AI practices Collaborate with architects, product managers, and other developers to translate problem statements into scalable, reliable, and explainable AI systems Stay updated on the latest in cloud platforms (AWS/GCP/Azure), software frameworks, agentic frameworks, and AI/ML technologies Prerequisites: Strong Python development skills, including API development and service integration Experience with LLM APIs (OpenAI, Anthropic, Hugging Face), agent frameworks (LangChain, LangGraph, CrewAI), and prompt engineering Experience deploying AI-powered applications using Docker, cloud infrastructure (Azure preferred), and managing inference endpoints, vector DBs, and knowledge graph integrations in a live production setting Proven experience with RAG pipelines and vector databases (Qdrant, Pinecone, FAISS) Hands-on experience fine-tuning LLMs using PyTorch, Hugging Face Transformers, and optionally TensorFlow, with knowledge of LoRA, PEFT, or distributed training tools like DeepSpeed Familiarity with knowledge graphs and graph databases such as Neo4j or AWS Neptune, including schema design and Cypher/Gremlin querying Basic frontend prototyping skills using Streamlit or Gradio, and ability to work with frontend teams if needed Working knowledge of MLOps practices (e.g., MLflow, Weights & Biases), containerization (Docker), Git, and CI/CD workflows Cloud deployment experience with Azure, AWS, or GCP environments Understanding of caching strategies, embedding-based similarity, and response optimization through semantic caching Preferred Qualifications: Bachelor’s degree in Technology (B.Tech) or Master of Computer Applications (MCA) is required; MS in similar field preferred 7–10 years of experience in AI/ML, with at least 2 years focused on large language models, applied NLP, or agent-based systems Demonstrated ability to build and ship real-world AI-powered applications or platforms, preferably involving agents or LLM-centric workflows Strong analytical, problem-solving, and communication skills Ability to work independently in a fast-moving, collaborative, and cross-functional environment Prior experience in startups, innovation labs, or consulting firms a plus Compensation: The compensation structurewill be discussed during the interview Show more Show less

Job Description (Please build your resume with Careerflow.ai's resume builder and specifically showcase why you're a fit for this role before applying. We receive a high quantity of applicants and this is your best bet at getting noticed) Company Description Careerflow.ai is an all-in-one career platform acting as your "Career Copilot". Our platform simplifies the job search process for professionals by either automating or augmenting parts of the process, such as AI-driven resume and profile improvements, job application tracking and management, among other things. We are a US-based startup with a team based in Delhi, India. We have helped over 900,000+ individuals in optimizing their job search process, through a combination of a web application and Chrome browser extension. Along with our product, we also provide high-quality expert-led career services. Additionally, we work with universities, higher education, non-profits, bootcamps, career coaches, etc., to provide them a data-driven platform for the career success of their associated members. Role Description This is a full-time on-site role for a Manual QA Tester at Careerflow.ai. The Manual QA Tester will be responsible for designing, executing, and maintaining comprehensive manual test strategies for our web applications, APIs, aI Models, and Chrome browser extension(s). This role will be located in New Delhi, with flexibility for work-from-home (up to 2 days a week). If you are looking to work in a dynamic startup environment where you get to single-handedly lead various manual testing initiatives while leveraging cutting-edge technology and generative AI technologies (ChatGPT, Claude, etc.) to enhance your testing workflows, this role is for you. We are looking for someone who is not only an expert at manual testing and quality assurance, but is also a great collaborator that can work with an asynchronous, remote team situated across the globe, and is excited about integrating AI tools into their daily testing workflows. Overall Responsibilities Lead and manage the development of robust manual test strategies for our web applications and Chrome browser extensions, utilizing AI-powered tools, the latest testing methodologies, and a focus on comprehensive coverage and quality. Work closely with a team of 7+ engineers as a senior/lead on both front-end and back-end testing strategies. Leverage AI tools (ChatGPT, Claude, etc.) to enhance test case generation, bug reporting, exploratory testing ideas, and test documentation processes. Collaborate with the Product, Design, and Development teams to create comprehensive test plans and provide input on testability and quality assurance from the customer's point-of-view. Bonus: Work closely with the C-suite of the company as a quality assurance lead. Technical Responsibilities Manual Testing & Quality Assurance: Design, develop, and execute comprehensive manual test cases across various levels, including functional tests, API tests, integration tests, and system tests, in alignment with our technologies (FERN Stack, Python, Google Cloud Platform) AI-Enhanced Testing Workflows: Actively utilize AI tools like ChatGPT, Claude, and other generative AI technologies to, Generate comprehensive test cases and scenarios Create test data and edge case scenarios Enhance bug reporting and documentation Brainstorm exploratory testing approaches Improve test plan creation and maintenance Manual API & Backend Testing: Execute comprehensive manual test cases to cover our API and backend services using tools like Postman, ensuring robustness and functionality. Cross-Platform Manual Testing: Ensure compatibility and functionality across multiple browsers, devices, and operating systems through systematic manual testing approaches. Data Integrity Testing: Manually test features that utilize Big Data technologies, ensuring accuracy and performance of data analytics features through careful validation. Accessibility Testing: Ensure that all new and existing web applications meet accessibility (WCAG 2.2) compliance standards through manual accessibility testing. Responsiveness Testing: Conduct manual testing for multi-form factor responsiveness across all our web and browser extension platforms. Cross-Platform Testing: Ensure compatibility and responsiveness across multiple browsers and devices. Chrome Extension Testing: P erform comprehensive manual testing of Chrome browser extensions, including installation, functionality, and compatibility testing. Documentation: Create detailed, comprehensive, and well-structured test plans and test cases for improved efficiency and coverage. Issue Resolution: Identify, record, document thoroughly, and track bugs through to resolution, utilizing AI tools to enhance bug report quality and consistency. Exploratory Testing: Conduct thorough exploratory testing sessions to identify unexpected issues and usability concerns, with comprehensive testing scenarios. LLM Testing and Evaluation: Create and prepare Large Language Model (LLM) evaluation sets to test and improve LLM quality. Require Qualifications 3-4 Years of Manual QA Testing experience with strong skills in web application testing and manual test strategy development. AI Tool Proficiency: Demonstrated experience using AI tools like ChatGPT, Claude, or similar generative AI technologies in daily workflows. Must be comfortable leveraging AI for test case generation, documentation, and problem-solving. 1+ Years of experience in testing Chrome Browser Extensions. Experience in manual testing of Modern SaaS applications, preferably built on similar tech stacks. Deep expertise in manual testing for both front-end (web applications, UI/UX testing) and back-end (manual API testing with tools like Postman). Experience with Cloud Services (Google Cloud / GCP), Cloud Firestore, Firebase, and Google Auth from a testing perspective. Strong understanding of React and other frontend web frameworks from a testing perspective. Ability to work asynchronously with little to no oversight. Excellent communication and collaboration skills in a multi-geographic, multi-timezone remote team -- this is a key requirement for us. We work asynchronously and communication is the highest priority. Bachelor's degree or higher in Computer Science, Information Technology, or a related field. Preferred Qualifications Prior experience working in an asynchronous collaborative environment. Experience with performance testing methodologies and security testing approaches. Basic knowledge of scripting languages such as Python, JavaScript, and TypeScript. Obsessed about test coverage, quality, and best practices in manual software testing. Experience with SaaS Analytics frameworks like Amplitude, Mixpanel, Google Analytics from a testing perspective. Experience with logging and monitoring frameworks like Sentry from a testing perspective. Proficient with Git and version control systems. Experience in creating test plans based on Figma designs and product requirements. Familiarity with big data technologies, including BigQuery and Looker, for test data analysis and quality metrics reporting. ISTQB or similar testing certification is a plus. Automation Testing Experience Tech Stack Exposure Testing Tools: Postman, Browser Developer Tools, JIRA, TestRail, BrowserStack Technologies to Test: React, Redux, Zustand, Immer, Less, Tailwind, React Native, Ant Design, Node, Python, TypeScript, OpenAI, Google Cloud, Google Auth, Firebase, Firestore, Amplitude, Sentry, BigQuery, FastAPI, Streamlit AI Tools: ChatGPT, Claude, GitHub Copilot, and other generative AI technologies for testing enhancement A Note on Location You will be required to work from an office up to 3 times a week, with general flexibility to work remotely from time to time. Show more Show less

Lead Data Scientist – Generative AI & LLMs Location: Bangalore / Vadodara (On-site) Shift Timings: 1:00 PM IST – 10:00 PM IST (may vary based on business needs) Working Days: Monday to Friday (Weekends Off) About Odysseus Solutions Odysseus Solutions is a Miami-based travel technology company delivering some of the most comprehensive and innovative online booking platforms in the industry. Since 2005, we've empowered travel businesses across North America, Central & South America, Australia, Europe, Asia, and the Middle East with scalable, multi-currency, and multilingual solutions. Our strength lies in state-of-the-art technology, seamless customization , and a commitment to operational efficiency and client success. Position Summary We are looking for a highly skilled Data Scientist with deep expertise in Large Language Models (LLMs) , Python , and associated technologies. The ideal candidate will have hands-on experience with platforms such as OpenAI , Google Gemmini , Anthropic , and frameworks like LangChain . This role is key to developing, fine-tuning, and integrating LLMs into advanced AI-powered applications. Key Responsibilities Develop and optimize large language models using Python, TensorFlow, or PyTorch Work with platforms like OpenAI GPT, Google Gemmini, and Anthropic LLMs Integrate LLMs into applications using LangChain Apply prompt engineering to improve model responses and performance Design and manage large-scale databases (SQL and NoSQL) Build and fine-tune RNN, LSTM, GRU models as needed Create and consume RESTful APIs for AI integration Collaborate with cross-functional teams on AI product development Qualifications 8+ years of experience in Machine Learning and Deep Learning 2+ years of experience in Generative AI and LLMs Strong experience in Python and machine learning libraries Strong programming skills in Python and related ML libraries Practical knowledge of LLM internals , fine-tuning, and deployment Experience with LangChain and prompt engineering Proficiency in SQL/NoSQL databases Experience with RESTful API integration Strong analytical and problem-solving skills Excellent communication and teamwork abilities Deep understanding of LLM internals and usage Hands-on with LangChain and prompt engineering techniques Proven experience with RNN / LSTM / GRU architectures Proficiency in SQL and NoSQL database management Skilled in building and integrating RESTful APIs Excellent problem-solving and analytical skills Strong communication and teamwork capabilities This is an exciting opportunity to lead innovation in one of the most transformative areas of technology. 📩 To apply, send your resume to : Manasvi_Purohit@odysseussolutions.com Show more Show less

● Minimum of (4+) years of experience in AI-based application development. ● Fine-tune pre-existing models to improve performance and accuracy. ● Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI ● Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). ● Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. ● Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). ● Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. ● Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. ● Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. ● Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. ● Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. ● Proficiency in Python with the ability to get hands-on with coding at a deep level. ● Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. ● Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) ● Enthusiasm for continuous learning and professional developement in AI and leated technologies. ● Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. ● Knowledge of cloud services like AWS, Google Cloud, or Azure. ● Proficiency with version control systems, especially Git. ● Familiarity with data pre-processing techniques and pipeline development for Al model training. ● Experience with deploying models using Docker, Kubernetes ● Experience with AWS Bedrock, and Sagemaker is a plus ● Strong problem-solving skills with the ability to translate complex business problems into Al solutions. Show more Show less

Job Title: AI/ML Intern (Paid Internship) Location: Bengaluru, India Number of Openings: 10 Duration: 6 Months Company Overview: IAI Solutions ( https://www.iaisolution.com/ ) is a leading innovator in artificial intelligence and machine learning, delivering next-generation solutions that impact industries globally. Our mission is to drive AI advancement through cutting-edge research, enterprise-ready AI systems, and scalable deployments. We’re currently seeking passionate and skilled AI/ML Interns who are eager to contribute to real-world AI development, have hands-on experience with model fine-tuning, and are adept in prompt engineering. If you're ready to work on impactful projects and expand your expertise in AI, we’d love to hear from you. Position Summary: As an AI/ML Intern , you will work with state-of-the-art AI technologies to design, build, and deploy intelligent systems. The ideal candidate will have strong proficiency in Python , Flask or Fast API and OOP , with real-world experience in prompt engineering , Finetuning and Hugging Face , LangChain. Key Responsibilities: Apply prompt engineering techniques in different LLM applications Work with LangChain , Langgraph , Hugging Face , OpenAI , and similar frameworks for model inference Develop tools and apply tool calling techniques to LLM, get structured response from LLMs using Pydantic models. Utilize object-oriented programming for scalable and reusable code design Contribute to internal documentation, share findings and best practices Keep up-to-date with the latest advancements in AI and integrate them into existing system Qualifications: Strong experience in Python Practical knowledge in prompt engineering and LLM optimization Proficiency with Langchain, Hugging Face Transformers , datasets , Background in AI/ML research or academic projects Solid grasp of OOP principles and strong problem-solving abilities Ability to work independently and within a collaborative team Strong communication and documentation skills Preferred Qualifications: Previous experience in academic or industrial research in LLM. Proven track record of successful AI LLM model deployments and optimizations. Perks & Benefits: Hands-on experience with real-world AI deployments Work with state-of-the-art AI tools and platforms Mentorship from top AI engineers and researchers Flexible, innovation-driven work culture Stipend: ₹25,000/month After completion of the internship period, there is an opportunity to get a full-time opportunity as an AI/ML Engineer (Up to 15 LPA) Selection Process: Step 1: Application Submission Visit our Career Page Fill in the required details and upload your resume Step 2: Task Assignment (48 Hours Deadline) Download the AI/ML Assignment from the Career Page Complete and submit within 48 hours Record and attach a 2-minute video explaining your solution (mandatory) Step 3: Review & Shortlisting Our technical team will evaluate your assignment submission Candidates with outstanding performance will be shortlisted for interviews Step 4: Interview Showcase your technical and problem-solving abilities Highlight your prior work, research, and understanding of AI/ML principles Step 5: Onboarding Post a successful interview, we’ll welcome you aboard! Get ready to dive into exciting projects and contribute to the field of AI. Compensation: Stipend: ₹25,000/month Full-Time Opportunity: Up to ₹15 LPA (based on performance) You can also apply directly via our Career Portal Ensure submission includes: Updated Resume Project Portfolio or GitHub (if available) Completed Assignment + Video explanation of 2 minutes Show more Show less

Contract Type: Regular If the chemistry is right, we can make a difference at LANXESS: speed up sports, make beverages last longer, add more color to leisure time and much more. As a leading specialty chemicals group, we develop and produce chemical intermediates, additives, specialty chemicals and high-tech plastics. With more than 13,000 employees. Be part of it! Job Highlights Design, implement, and manage robust development and CI/CD pipelines for Generative AI application using frameworks like LangChain, LangGraph. Integrate LLMs (e.g., Azure OpenAI) into production-grade systems. Follow best practices across all stages of the SDLC including requirements, design, coding, testing, and deployment. Collaborate with cross-functional teams including ML engineers, DevOps, and product managers. Maintain documentation, unit tests, and code reviews for robustness and maintainability. Requirements Specific Education - Engineering / Graduate in Computer Science or relevant field of studies. Work Experience - 3 to 5 years. Special Skills - Python, LangChain, LangGraph, CoPilot Studio. RAG (Retrieval-Augmented Generation). Docker, Git/GitHub/GitLab, REST APIs, Fast API. Vector databases (e.g., Pinecone, Chroma, FAISS). Azure AI Foundry. What We Offer You Compensation: We offer competitive compensation packages, inclusive of a global bonus program and an individual performance bonus program. Comprehensive Benefits: We provide a mixture of various benefits to support your financial security, health and wellbeing including retirement plans, health programs, life insurance and medical care. Work-Life & Flexibility: We support you in maintaining a balance between working hours and personal life. With our global “Xwork” program, we offer flexible working arrangements in all countries in which we operate. Training & Development: We are committed to your professional and personal development and encourage you in the ongoing pursuit of education, training and knowledge through both formal and informal learning. Diversity: For us, talent matters, we welcome everyone who commits to our values. We strongly believe that including diverse perspectives makes us more innovative and enhances our competitiveness. Therefore, we embrace the uniqueness of every single individual and are truly committed to supporting our people in developing their individual potential. Join the LANXESS team! Show more Show less

About BeGig BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you’re not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise. Your Opportunity Join our network as an AI Agent Workflow Engineer and help build smart, autonomous systems using LLMs and multi-agent frameworks. You'll design intelligent task automation flows powered by tools like LangChain , AutoGen , CrewAI , and integrate them with APIs, vector databases, and real-world data sources. This is a unique opportunity to work at the forefront of autonomous AI, all while enjoying complete flexibility and remote work. Role Overview As an AI Agent Workflow Engineer, you will: Design Multi-Agent Systems: Create intelligent agents capable of collaboration, tool usage, and task delegation. Build Real-Time Workflows: Implement complex workflows where agents interact with users, APIs, and external data sources. Integrate & Deploy: Deploy agent systems into real-world products across industries like SaaS, eCommerce, operations, and content. What You’ll Do Agentic System Development: Build custom AI agents using frameworks like AutoGen, CrewAI, LangChain Agents, or similar tools. Define agent roles, behaviors, goals, and memory strategies for specific use cases (research, operations, customer support, etc.). Set up inter-agent communication, task routing, and tool execution pipelines. Integration & Deployment: Connect agent workflows with APIs, databases, or third-party services. Use vector databases (Pinecone, Weaviate, Qdrant) for retrieval-augmented generation (RAG) and persistent memory. Deploy applications via FastAPI, Flask, or serverless environments for scalable use. Technical Requirements & Skills Experience: 2+ years in AI/ML, backend development, or agent systems. Languages: Strong in Python (required); knowledge of JS/TS is a plus. Frameworks: Hands-on experience with AutoGen, LangChain Agents, CrewAI, LlamaIndex, or similar. LLM APIs: Proficient with OpenAI, Anthropic, Gemini, and open-source LLMs. Databases: Familiarity with vector databases like Pinecone, FAISS, Weaviate, or Qdrant. Bonus: Understanding of prompt engineering, chaining logic, and autonomous agent design principles. What We’re Looking For An engineer who can translate business goals into autonomous agent workflows. A systems thinker who understands orchestration, data flow, and real-time execution. A self-motivated freelancer who thrives in fast-paced environments and cutting-edge tech. Why Join Us? Immediate Impact: Work on real-world AI agent use cases driving real outcomes. Remote & Flexible: Choose your hours and engagements—hourly or project-based. Future Opportunities: BeGig keeps you matched with the latest in agent automation and GenAI engineering. Innovative Community: Join a forward-thinking network shaping the future of intelligent systems. Ready to orchestrate the future with AI agents? Apply now to become a key AI Agent Workflow Engineer for our client and a valued member of the BeGig network! Show more Show less

Job Title: Senior Python Generative AI Engineer Location: 100% Remote Duration: 6-Month Contract Experience Required: 6+ Years Required Qualifications: 6+ years of professional experience in software engineering with a strong focus on Python 2+ years of hands-on experience working with Generative AI / LLMs (Large Language Models) Deep understanding of transformer-based architectures, tokenization, embeddings, and fine-tuning techniques Experience building and deploying RAG (Retrieval-Augmented Generation) pipelines Proficient with prompt engineering, few-shot prompting, and API-based integration (OpenAI, Anthropic, etc.) Strong knowledge of LangChain, LLM orchestration tools, and vector databases like FAISS, Pinecone, or Chroma Experience deploying models using Docker, FastAPI, or serverless platforms; familiarity with Kubernetes is a plus Skilled in using Hugging Face Transformers, Diffusers, and other open-source LLM libraries Hands-on experience with cloud services (AWS/GCP/Azure) for hosting models or serverless inference Familiar with PowerShell, Bash, and infrastructure-as-code tools (Terraform, ARM, or similar) Solid understanding of CI/CD pipelines, model testing, and performance optimization techniques Show more Show less

**Looking for immediate joiners or candidate can join in less than 30 days** Designation: Manager Data Engineer Location: Chennai Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field. At least 8+ years of experience in data engineering with a strong focus on Microsoft Azure and Azure Databricks. Proven expertise in SQL Server database administration and development. Experience in building and optimizing data pipelines, architectures, and data sets on Azure. Experience with dbt and Fivetran Familiarity with Azure AI and LLM’s including Azure OpenAI Proficiency in Power BI for creating reports and dashboards. Strong scripting skills in Python, PowerShell, or other relevant languages. Familiarity with other Azure data services (e.g., Azure Synapse Analytics, Azure Blob..etc). Knowledge of data modeling, ETL processes, and data warehousing concepts. Show more Show less

🚀 AI Engineering Intern (SDE) – Founding Tech Interns | Opportunity of a Lifetime Location: Gurgaon (In-Office) Duration: 3–6 months (Flexible based on academic schedule) Start Date: Immediate openings Open to: Tier 1 college students graduating in 2025 and 2026 Compensation: Stipend + Pre-Placement Offer potential + Founders’ recommendation for global fellowships (Google, Meta, etc.) 🧠 About Us – Darwix AI Darwix AI is on a mission to solve a problem no one's cracked yet — building real-time, multilingual conversational intelligence for omnichannel enterprise sales teams using the power of Generative AI. We're building India’s answer to Gong + Refract + Harvey AI — trained on 1M+ hours of sales conversations, and packed with industry-first features like live agent coaching , speech-to-text in 11 Indic languages , and autonomous sales enablement nudges . We’ve got global clients, insane velocity, and a team of ex-operators from IIMs, IITs, and top-tier AI labs. 🌌 Why This Internship is Unlike Anything Else 💡 Work on a once-in-a-decade problem — pushing the boundaries of GenAI + Speech + Edge compute. 🛠️ Ship real products used by enterprise teams across India & the Middle East. 🧪 Experiment freely — train models, optimize pipelines, fine-tune LLMs, or build scrapers that work in 5 languages. 🚀 Move fast, learn faster — direct mentorship from the founding engineering and AI team. 🏆 Proof-of-excellence opportunity — stand out in every future job, B-school, or YC application. 💻 What You'll Do Build and optimize core components of our real-time agent assist engine (Python + FastAPI + Kafka + Redis). Train, evaluate, and integrate whisper, wav2vec, or custom STT models on diverse datasets. Work on LLM/RAG pipelines , prompt engineering, or vector DB integrations. Develop internal tools to analyze, visualize, and scale insights from conversations across languages. Optimize for latency, reliability, and multilingual accuracy in dynamic customer environments. 🌟 Who You Are Pursuing a B.Tech/B.E. or dual degree from IITs, IIITs, BITS, NIT Trichy/Warangal/Surathkal, or other top-tier institutes. Comfortable with Python , REST APIs, and database operations. Bonus: familiarity with FastAPI, Langchain, or HuggingFace. Passionate about AI/ML, especially NLP, GenAI, ASR, or multimodal systems. Always curious, always shipping, always pushing yourself beyond the brief. Looking for an internship that actually matters — not one where you're just fixing CSS. 🌐 Tech You’ll Touch Python, FastAPI, Kafka, Redis, MongoDB, Postgres Whisper, Deepgram, Wav2Vec, HuggingFace Transformers OpenAI, Anthropic, Gemini APIs LangChain, FAISS, Pinecone, LlamaIndex Docker, GitHub Actions, Linux environments 🎯 What’s in it for you A pre-placement offer for the best performers. A chance to be a founding engineer post-graduation. Exposure to the VC ecosystem , client demos, and GTM strategies. Stipend + access to tools/courses/compute resources you need to thrive. 🚀 Ready to Build the Future? If you’re one of those rare folks who can combine deep tech with deep curiosity , this is your call to adventure. Join us in building something that’s never been done before. Apply now at careers@cur8.in Attach your CV + GitHub/Portfolio + a line on why this excites you. Bonus points if you share a project you’ve built or an AI problem you’re obsessed with. Darwix AI | GenAI for Revenue Teams | Built from India for the World Show more Show less

Experience: 6 to 10 relevent years Location: Remote Notice Period: Immediate to 30 days preferred Client: India based prestigious enterprise in the AI domain Overview: We are seeking a seasoned Generative AI Engineer to spearhead the development and deployment of cutting-edge language models and generative systems. The ideal candidate will possess a profound understanding of machine learning, NLP, and deep learning, collaborating closely with cross-functional teams to deliver impactful AI solutions. Key Responsibilities: Design, develop, and fine-tune transformer-based models (e.g., GPT, BERT, LLaMA). Implement prompt engineering techniques to optimize model performance. Integrate AI solutions into existing systems, ensuring scalability and efficiency. Stay abreast of the latest advancements in generative AI and apply them to projects. Collaborate with data scientists and software engineers to deploy models in production environments. Key Skills Required: Proficiency in Python and experience with TensorFlow or PyTorch. Hands-on experience with NLP models and LLMs. Familiarity with HuggingFace, OpenAI, or similar libraries. Understanding of MLOps concepts and CI/CD pipelines for ML deployment. Experience with vector databases (e.g., Pinecone, FAISS) and embeddings. Preferred Qualifications: Master’s degree in Computer Science, AI, Data Science, or a related field. Ability to work independently in a remote-first setup. Immediate joiner preferred Show more Show less

About Britts Imperial University: Britts Imperial University is a premier higher education institution committed to academic excellence and innovation across its campuses in the UAE and beyond. With a strong emphasis on future-ready skills, we aim to integrate technology, research, and real-world learning into all aspects of higher education. The university is currently enhancing its digital learning capabilities through the ICP campus and online education platforms. Position Summary: We are seeking a visionary EdTech & AI Integration Specialist to lead the development and implementation of AI-powered educational tools and digital learning platforms. This role will play a crucial part in designing, building, and deploying intelligent systems that support scalable, engaging, and personalized learning experiences for students across online and hybrid programs. Key Responsibilities: Lead the design and development of AI-assisted tools for curriculum delivery and student engagement. Collaborate with instructional designers, faculty, and software engineers to build adaptive learning systems. Integrate emerging AI technologies into learning management systems (LMS) and digital platforms. Develop dashboards, analytics, and reporting tools for learner progress and performance tracking. Research and evaluate innovative EdTech solutions and recommend integration strategies. Ensure compliance with data privacy, accessibility, and academic integrity standards. Train faculty and staff on the effective use of AI tools and digital platforms. Support the digital transformation of course materials, assessments, and learning pathways. Participate in continuous improvement initiatives for the online learning experience. Qualifications: Bachelor’s or Master’s degree in Educational Technology, Computer Science, AI, Instructional Design, or a related field. 3–5 years of experience in EdTech, AI applications in education, or eLearning development. Strong knowledge of AI/ML concepts, natural language processing (NLP), and LLM tools. Familiarity with LMS platforms such as Moodle, Blackboard, or Canvas. Proficiency in tools like Python, TensorFlow, OpenAI APIs, or similar AI toolkits is a plus. Experience with SCORM, xAPI, and other eLearning standards is an advantage. Strong project management, communication, and cross-functional collaboration skills. What We Offer: Opportunity to lead cutting-edge digital education initiatives. A collaborative and diverse academic environment. Competitive compensation and benefits. Career growth opportunities in the fast-evolving EdTech space. Show more Show less

Job Summary: Copilot Developer Experience - 2-5 yrs. Notice Period - Immediate Joiner- 15 days Location-Remote Contact: nikhil.vats@multiversetech.com We are seeking a skilled and innovative Copilot Developer to design, build, and maintain AI-powered solutions using Microsoft Copilot Studio. The ideal candidate will have a solid background in Microsoft Power Platform and Power Apps, experience integrating APIs and Azure services, and a keen interest in AI technologies such as Azure OpenAI and LLMs. Responsibilities: 1.Design , develop, and maintain solutions using Microsoft Copilot Studio, including both declarative and custom agents 2.Collaborate with business users to gather requirements and design tailored Copilot-based solutions 3.Serve as a business solutions architect, guiding the team with a unified approach to development 4.Develop and manage custom connectors to extend Copilot functionality 5.Integrate Microsoft Copilot with Power Platform solutions using Power Automate, Microsoft Teams, SharePoint, and other knowledge sources 6.Provide support and maintenance for existing solutions 7.Work with cross-functional teams to troubleshoot and resolve any issues Qualification: 1.Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field 2.Proven 3+experience with the Microsoft Power Platform 3.Strong experience integrating REST APIs, custom connectors, and Azure services 4.Familiarity with Copilot AI, Azure OpenAI, or similar AI-powered development tools and LLMs 5.Solid understanding of AI concepts and their practical implementation in business applications 6.Strong problem-solving skills and the ability to translate business needs into scalable technical solutions 7.Excellent communication and collaboration skills Show more Show less

Job Title : C# | Azure Functions | PaaS (4–5 Years Experience) 🌍 Open to Freelancers from Anywhere in the World (Remote) About the Role: We are looking for a proactive Backend Developer with 4–5 years of experience in building and maintaining C# backend services on Azure Functions (PaaS). You will work on enhancing existing APIs, integrating new AI features, and collaborating with frontend teams consuming these APIs. This project is purely serverless/PaaS based with no VM or IaaS involvement. The ideal candidate will have strong experience with Azure PaaS, Cosmos DB, and be comfortable working on existing codebases, enhancing functionality, and integrating AI-driven features using OpenAI APIs. Familiarity with Python for AI-related tasks is a plus This is a fully remote freelance opportunity open to professionals worldwide. Key Responsibilities: Develop, maintain, and enhance C# backend APIs using Azure Functions. Work extensively with Cosmos DB, ensuring optimal data access patterns and performance. Use Azurite and Cosmos DB Emulator for efficient local development. Collaborate with frontend teams to ensure seamless API integration. Implement and manage CI/CD pipelines using GitHub Actions or Azure DevOps. Maintain code quality, enforce best practices, and ensure security and scalability. Integrate OpenAI APIs to add AI-driven features into backend workflows (desirable). Utilize Python scripts for AI and automation tasks when needed (desirable). Participate in code reviews, technical discussions, and proactively suggest improvements. Follow agile methodologies and take ownership of deliverables Required Skills & Experience: 4–5 years of backend development experience with C# and the .NET Core / .NET 6+ ecosystem. Strong hands-on experience with Azure Functions and Azure PaaS services. Expertise in working with Cosmos DB, including development and performance tuning. Practical experience with Azurite and Cosmos DB Emulator for local development. Proficiency in RESTful API design, implementation, and optimization. Good understanding of Git workflows and experience with CI/CD automation. Strong problem-solving and debugging skills. Ability to read and enhance existing codebases, adding new business and AI features. Familiarity with OpenAI APIs for AI-based integrations (desirable). Working knowledge of Python for data processing or AI tasks (desirable). Excellent communication skills and ability to work independently in a remote setup. Educational Qualification: B.Tech in Computer Science or a related discipline. Show more Show less

Role Description Job Title: Lead Gen AI Architect Experience: 9–12 Years Location: PAN India (UST Offices) Mode of Work: Hybrid (3 days in office per week) Job Type: Full-Time Job Summary We are seeking a Lead Gen AI Architect to lead the design, development, and deployment of advanced AI and Generative AI solutions tailored to the real estate domain . This role combines deep technical expertise with strong architectural leadership and client-facing capabilities. You will collaborate closely with cross-functional teams and US-based clients, with a work schedule that includes overlap up to 12 AM IST . This is a hybrid role , requiring 3 days a week in-office at any UST location in India . Key Responsibilities Architect and implement end-to-end Generative AI solutions, preferably using OpenAI technologies. Design and build advanced NLP pipelines, including prompt engineering, Retrieval-Augmented Generation (RAG), and model fine-tuning. Develop and deploy AI Agents to support business automation and dynamic user interaction. Engage with internal teams and customers to gather requirements, present solutions, and ensure high-quality delivery. Guide and mentor development teams in writing scalable, maintainable Python code following best Machine Learning practices. Lead MLOps initiatives for efficient deployment and management of AI models. Collaborate with US-based teams, maintaining client interaction and delivery alignment during late hours (up to 12 AM IST). Mandatory Skills NLP & Generative AI Experience integrating GPT models (e.g., ChatGPT, GPT-4) Strong knowledge of Prompt Engineering Expertise in Retrieval-Augmented Generation (RAG) pipelines Model fine-tuning and performance optimization Experience building and deploying AI Agents using OpenAI or similar frameworks Programming Strong proficiency in Python Working knowledge of R (preferred) Machine Learning Hands-on experience with model development, training, validation, and optimization Experience deploying and scaling ML models in production environments Good-to-Have Skills API Development Experience with Dataiku Building and consuming RESTful APIs for AI model integration MLOps & Deployment Familiarity with MLflow, Docker, Kubernetes Data Engineering Proficiency in SQL, PySpark for data preparation and pipeline creation Data Visualization Experience with tools like Tableau or Power BI for stakeholder reporting Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field 9–12 years of hands-on experience in AI/ML/Gen AI, with leadership roles in solution delivery Excellent verbal and written communication skills; confident in client-facing scenarios Experience or exposure to the real estate domain is an added advantage Why Join Us Lead innovation at the intersection of AI and real estate Work in a collaborative, impact-driven team environment Contribute to the development of scalable, real-world AI applications Enjoy a flexible and supportive hybrid work culture Skills Machine Learning,Natural Language Processing,GenAI,SQL Show more Show less

We are looking for a creative and driven AI/ML Engineer to design, develop, and deploy advanced machine learning models. You will work on transformers (e.g., GPT , BERT ), OpenAI models, and other deep learning solutions for real-world applications. If you're ready to push boundaries in AI, we want to hear from you! Experience Required: Minimum 1 Year Mode of Work: On-Site Only (Mohali, Punjab) Contact for Queries: +91-9872993778 (Mon–Fri, 11 AM – 6 PM) Note: This number will be unavailable on weekends and public holidays. Key Responsibilities: Develop LLMs (e.g., GPT , BERT ) for NLP tasks such as text generation, summarization, and language translation. Build and optimize deep learning models for Generative AI applications in areas such as image , text , and speech generation . Apply reinforcement learning , unsupervised learning , and semi-supervised learning techniques to enhance model performance. Experiment with cutting-edge models such as GANs , diffusion models , and OpenAI models for generative tasks and advancements in AI. Collaborate with cross-functional teams to integrate AI/ML solutions into production using cloud platforms (e.g., AWS , GCP , Azure ). Stay up-to-date with the latest advancements in AI/ML, including emerging trends in NLP , transformers , and generative models . Handle large-scale datasets, performing data preprocessing , feature engineering , and model evaluation to ensure high-quality solutions. Present your findings and innovative solutions to both technical and non-technical audiences. Requirements: Degree in Computer Science , Data Science , Machine Learning , or a related field. Proven experience in building and deploying AI/ML models , with a strong foundation in deep learning and machine learning techniques. Proficiency in programming languages such as Python . Expertise in LLMs (e.g., GPT , BERT ) and transformer architectures . Experience with OpenAI APIs and models (e.g., GPT3 , GPT4 , GPT4o , ). Hands-on experience with deep learning frameworks like TensorFlow , PyTorch , Keras , and Scikit-learn . Solid knowledge of NLP , computer vision , and other key AI sub-domains . Experience deploying and scaling models on cloud platforms (AWS, GCP, Azure). Strong problem-solving and analytical thinking skills. Preferred Qualifications: Hands-on experience with Generative AI models (e.g., GANs , Diffusion Models ). Experience with real-time deployment of LLMs in applications such as chatbots , virtual assistants , and language translation . Familiarity with OpenAI's products, tools, and APIs. Experience with containerization (e.g., Docker ). Research publications or contributions to open-source AI projects are a plus. Experience : Minimum of 1 YEAR Experience. Mode of Work : On-site For queries, contact : +91 -9872993778 (Mon-Fri, 11 AM - 6 PM). Note :- This number will be unavailable on weekends and public holidays. Job Types: Full-time, Permanent Pay: From ₹20,000.00 per month Schedule: Monday to Friday Application Question(s): How many years of experience do you have as AI/ML Engineer Work Location: In person

Omega Healthcare Management Services Private Limited TAMIL NADU Posted On 05 Jun 2025 End Date 19 Jun 2025 Required Experience 5 - 8 Years Basic Section No. Of Openings 1 Grade T2 Designation Technology Specialist - Technology Closing Date 19 Jun 2025 Organisational Country IN State TAMIL NADU City CHENNAI Location Chennai-I Skills Skill SDLC PL/SQL SOLUTION ARCHITECTURE JAVA UNIX .NET SOA MICROSOFT SQL SERVER SQL ASP.NET Education Qualification No data available CERTIFICATION No data available Job Description Role : Data Scientist Educational Qualification : ME/BE / MCA Experience Required : 4+ Years Shifts : Day shift Skills & Responsibilities: Experience: 4+ years in machine learning, deep learning, or generative AI. Programming & Frameworks: Strong Python scripting with Pandas, NumPy, OOPs concepts. Experience with PyTorch, TensorFlow, Keras, Hugging Face Transformers. Proficiency in SQL queries when needed. Generative AI & NLP: Experience with LLMs, GANs, VAEs, Diffusion Models. Familiarity with OpenAI GPT, DALL·E, Stable Diffusion. Deep knowledge of NLP techniques & deep learning architectures (RNN, CNN, LSTM, GRU). Machine Learning & Statistics: Understanding of ML/DL algorithms, statistical analysis, and feature engineering. Theoretical knowledge of Random Forest, SVM, Boosting, Bagging, Regression (Linear & Logistic), and Unsupervised Learning. MLOps & Deployment: Familiarity with Cloud platforms (AWS, Azure, GCP). Experience in MLOps, CI/CD, Docker, Kubernetes. Comfortable with Linux systems and GPU-based deep learning. Research & Ethics: Contributions to AI research, open-source projects, or Kaggle competitions. Awareness of AI ethics, bias mitigation, and model interpretability. Soft Skills & Work Environment: Ability to work independently and deliver results. Experience in an agile development environment. Knowledge of computer vision is a plus.

What we're working on : We at Narrative are building AI QA for replace manual testing and to reduce regression. \ The role: Build and iterate on AI agents from concept to deployment Work directly with our core product team on agent architecture and capabilities Implement agent workflows, tool integrations, and decision-making logic Requirement Prior experience building AI agents is required Proficiency with Python and AI/ML libraries (OpenAI API, Anthropic, etc.) Knowledge of vector databases and RAG implementations Details Looking to start immediately Work from India as per IST \ Interview process: Quick chat about your previous agent work, show us what you've built, and if it's a good fit, we'll get you started right away. \ Fill the Google form to apply- https://forms.gle/WZ9QfFGfxjM57Hxf9 Show more Show less

Details As an AI-First AI/ML Engineer, you'll be architecting and deploying intelligent systems that leverage cutting-edge AI technologies including LangChain orchestration, autonomous AI agents, and robust AWS cloud infrastructure. We are seeking expertise in modern AI/ML frameworks, agentic systems, and scalable backend development using Node.js and Python. Your AI-powered engineering approach will create sophisticated machine learning solutions that drive autonomous decision-making and solve complex business challenges at enterprise scale. About You You are an AI/ML specialist who has fully embraced AI-first development methodologies, using advanced AI tools (e.g., Copilot, ChatGPT, Claude, CodeLlama) to accelerate your machine learning workflows. You're equally comfortable building LangChain orchestration pipelines, deploying Hugging Face models, developing autonomous AI agents, and architecting scalable AWS backend systems using Node.js and Python. You move FAST - capable of shipping complete, production-ready features within 1 week cycles. You are a proactive person and a go-getter, willing to go the extra mile. You understand that modern AI engineering means creating intelligent systems that can reason, learn, and act autonomously while maintaining reliability and performance. You thrive using TDD methods, MLOps practices, and Agile methodologies while focusing on finding elegant solutions to complex AI challenges. This is a hybrid role where you'll be spending your time across 4 core functions: Internal Projects (25%) - Building and maintaining OneSeven's internal AI tools and platforms Sales Engineering (25%) - Supporting sales team with technical demos, proof-of-concepts, and client presentations AI-First Engineering and Innovation Sprints (25%) - Rapid prototyping and innovation on cutting-edge AI technologies Forward Deployed Engineering (25%) - Working directly with clients on-site or embedded in their teams to deliver solutions Qualifications Technical Requirements Core AI/ML Skills 4+ years AI/ML development experience with production deployment Fluent English required - strong written and verbal communication skills for direct client interaction Reliable workspace/internet - willing to work extra hours FAST execution mindset - must be able to ship complete features within 1 week Strong system architecture experience - designing scalable, distributed AI/ML systems Expert-level LangChain experience for AI orchestration and workflow management Hugging Face experience - transformers, model integration, and deployment Extensive AI Agent development with LangChain or Google Vertex AI Heavy AWS cloud experience, particularly with Bedrock, SageMaker, and AI/ML services Backend generalist comfortable with Node.js and Python for AI service development Agile methodologies experience, startup environment passion Independent problem-solver, team player willing to work extra hours AI Agent & LangChain Expertise (Required) LangChain framework mastery for complex AI workflow orchestration Hugging Face integration - transformers, model deployment, and API integration AI Agent architecture design with LangChain or Google Vertex AI Prompt engineering and chain-of-thought optimization Vector databases and embedding systems (Pinecone, Pgvector, Chroma) RAG pipeline development and optimization LLM integration across multiple providers (OpenAI, Anthropic, AWS Bedrock, Hugging Face) Agentic system design with memory, planning, and execution capabilities Backend & Cloud Infrastructure Heavy AWS Cloud services experience (Lambda, API Gateway, S3, RDS, SageMaker, Bedrock) System architecture design for high-scale, distributed AI/ML applications Microservices architecture and design patterns for AI systems at scale Node.js and Python backend development for AI service APIs RESTful API design and GraphQL for AI service integration Database design and management for AI data workflows Modern JavaScript/TypeScript and Python async programming MLOps & Integration CI/CD pipelines and GitHub Actions for ML model deployment Model versioning, monitoring, and automated retraining workflows Container orchestration (Docker, Kubernetes) for AI services Performance optimization for high-throughput AI systems Modern authentication and secure API design for AI endpoints API security implementation (XSS, CSRF protection) Bonus Qualifications Advanced Hugging Face experience (fine-tuning, custom models, optimization) Multi-modal AI experience (vision, audio, text processing) Advanced prompt engineering and fine-tuning experience DevOps and infrastructure as code (Terraform, CloudFormation) Database optimization for vector search and AI workloads Additional cloud platforms (Azure AI, Google Vertex AI) Knowledge graph integration and semantic reasoning Project Deliverables You'll be working on building a comprehensive AI-powered business intelligence system with autonomous agent capabilities. Key deliverables include: Core AI Agent Platform Multi-agent orchestration system with LangChain workflow management Autonomous reasoning agents with tool integration and decision-making capabilities Intelligent document processing pipeline with advanced OCR and classification Real-time AI analysis dashboard with predictive insights and recommendations Advanced AI Workflows RAG-powered knowledge synthesis with multi-source data integration Automated business process agents with approval workflows and notifications AI-driven anomaly detection with proactive alerting and response systems Intelligent API orchestration with dynamic routing and load balancing Comprehensive agent performance monitoring with usage analytics and optimization insights Integration & Deployment Systems Scalable AWS backend infrastructure with auto-scaling AI services Production MLOps pipeline with automated model deployment and monitoring Multi-tenant AI service architecture with usage tracking and billing integration Real-time AI API gateway with rate limiting and authentication Benefits/Compensation Fully Remote, Contract-based with U.S. company $4,000/mo - $8,000/mo depending on experience and project duration Company-paid PTO plan, international team of 15+ To Apply SEND YOUR RESUME IN ENGLISH, please. Include the URL of your LinkedIn profile. Include Website references, GitHub repositories, and any other online references that would highlight your prior work for the qualifications described in this role. ⚠️ AUTOMATIC DISQUALIFICATION: You will be automatically disqualified if your resume is not in English or you don't include your LinkedIn profile URL. About OneSeven Tech OneSeven Tech is a premier digital product studio serving both high-growth startups and established enterprises. We've partnered with startup clients who have collectively raised over $100M in Venture Capital, while our enterprise portfolio includes 2000+ person hospitality groups and publicly traded NASDAQ companies. Our passion lies in crafting exceptional AI-powered digital products that drive real business success. Joining OneSeven means working alongside a skillful team of consultants where you'll sharpen your AI/ML expertise, expand your capabilities, and contribute to cutting-edge solutions for industry-leading clients. OST's headquarters is in Miami, Florida, but our employees work remotely worldwide. Our 3 main locations are Miami, Mexico City, Mexico, and Buenos Aires, Argentina. Show more Show less

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 38 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience 5+ years Extensive experience in Java 8 or higher, Spring Framework-Core/Boot/MVC, Hibernate/JPA, and Microservices Architecture. Proficient in Github Copilot Prompt based coding. Hands on experience of RDBMS like SQL Server, Oracle, MySQL, PostgreSQL. Strong backend development skills with technologies and languages including Node.js, Fastify, Express, Java, Micronaut, and databases such as MongoDB, Elasticsearch, and PostgreSQL. Expertise in writing high-quality code following object-oriented design principles with a strong balance between performance, extensibility, and maintainability. Experience in SOA based architecture, Web Services (Apache/CXF/JAXWS/JAXRS/SOAP/REST). Hands-on Experience in Low- and High-Level Design (LLD + HLD). Strong working experience in RabbitMQ, Kafka, Zookeeper, REST APIs. Expert in CI/CD capabilities required to improve efficiency. Hands-on experience deploying applications to hosted data centers or cloud environments using technologies such as Docker, Kubernetes, Jenkins, Azure DevOps and Google Cloud Platform. A good understanding of UML and design patterns. Experience in POCs or personal projects using AI-assisted coding. Familiarity with OpenAI, ChatGPT, or prompt engineering basics. Strong communication skills and the ability to collaborate effectively with cross-functional teams. RESPONSIBILITIES: Writing and reviewing great quality code Understanding functional requirements thoroughly and analyzing the client’s needs in the context of the project Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it Determining and implementing design methodologies and tool sets Enabling application development by coordinating requirements, schedules, and activities. Being able to lead/support UAT and production roll outs Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement Giving constructive feedback to the team members and setting clear expectations. Helping the team in troubleshooting and resolving of complex bugs Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken Carrying out POCs to make sure that suggested design/technologies meet the requirements. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Show more Show less