227 Llms Jobs - Page 9

Data Scientist (Remote) Are you passionate about data, analytics, MATH and making a real-world impact? Join us and become part of an American brand that is committed to selling only organic products. We are rapidly expanding across multiple online channels and are looking for driven individuals who want to use their skills to help us reach more customers and do good for the world. About Us: We are a fast-growing American e-commerce company specializing in organic spices and products. Our mission is to make high-quality, organic goods accessible to everyone. By joining our team, you will play a key role in improving our market penetration and helping more customers experience the benefits of organic living. Why Join Us? Work for a purpose-driven American brand that values quality, integrity, and sustainability. Your work will directly contribute to expanding our reach and making a positive difference in the lives of customers worldwide. Be part of a passionate, collaborative, and innovative team. Opportunity to invent, create, and see the real impact of your work. Key Responsibilities: Analyze large datasets from multiple e-commerce platforms to uncover actionable insights. Develop and automate systems for keyword and ad performance tracking across a large number of SKUs. Apply advanced statistical methods and machine learning to improve ad conversion rates and profitability. Design and execute A/B tests and experiments to optimize ad placements and marketing spend. Present findings and recommendations clearly to the team. Collaborate with marketing and product teams to implement data-driven strategies. Core Competencies: Strong Data Science Acumen: Proven ability in data manipulation, statistical analysis, machine learning (regression, classification, time series), and data visualization. Solid Mathematical Foundation: Deep understanding of linear algebra, multivariate calculus, probability theory, stochastic processes, and numerical methods. Automation Prowess: Demonstrated experience in automating complex workflows and processes using Python scripting and/or workflow automation tools like n8n or Make. Proficiency in Prompt Engineering: Demonstrated ability to effectively use and extract valuable insights from large language models and other AI tools (e.g., Claude, ChatGPT, Perplexity, Gemini). Requirements: Bachelors or Masters degree in Mathematics, Statistics, Data Science, Computer Science, or a related field (top of class preferred). Strong background in statistics, probability, and data analysis. Proficient in Python (pandas, numpy, scikit-learn, etc.). Experience with SQL and database management. Excellent analytical and problem-solving skills. Ability to communicate complex findings in simple terms. Self-motivated, detail-oriented, and able to work independently. Must be able to work Indian daytime hours (no night shifts). Nice to Have: Experience with e-commerce data. Familiarity with PPC advertising and marketing analytics. Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Knowledge of Large Language Models (LLMs), agentic workflows, and AI-driven automation. Compensation & Benefits: Salary: 6,00,000 per annum + yearly performance bonus. Fully remote position. Working hours - 9am to 5pm IST, Monday through Friday. Opportunities for growth and advancement as our company expands. Supportive and collaborative team environment. How to Apply: Please send your updated resume and a brief cover letter explaining why youre passionate about this role to hr@spiceprofile.com. Also include any relevant portfolio or project links. Top candidates will be asked to complete a short data analysis assessment.

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Full Stack Data Scientist In this role, the person is responsible for transforming business requirements into valuable insights that drive decision-making in organizations. He/She is expected to handle the entire data science process, from data collection to model deployment and maintenance. Responsibilities: Experience in Large Language Models (LLMs) with deep dive into Generative AI applications using Python to optimize platform functionalities Good exposure with implementing robust CI/CD automation and orchestration using tools like Azure DevOps Research and implement appropriate AI/ML algorithms and tools for developing machine learning applications to requirements Design and implementation of the overall web architecture with real time exposure of developing REST APIs Good command for designing and building the entire stack for speed and scalability Good exposure for building models, algorithms, simulations and performance evaluation by writing highly optimized, deployable code using AI-ML technologies Exposure with building solutions for data discovery, data acquisition, data processing cleaning, data integration, data interpretation Define and manage the process of production using machine learning models through MLOps pipelines for development, continuous integration, continuous delivery, verification, validation, and monitoring of AI/ML models Involve with stakeholders to analyse for solving business problems using Machine learning/ Artificial Intelligence solutions for deployment on a cloud platform Alignment with industry trends, innovations and developments in AI/ML and work with other ML teams to pilot new advances and keep the organisation future-ready Understanding customer pain points, business requirements and developing models that help to achieve them, along with metrics to track their progress Commanding exposure with scope, define, and deliver AI-based data products covering data analysis, visualization, storytelling and data technologies Perfectly collaboration of product, data science, and other stakeholders to translate business needs into powerful technical solutions Requirements Bachelor's degree in computer science, Engineering, Mathematics, Statistics or a related field Significant good exposure in Python/R with at least 5+ years of experience developing and deploying ML and DL models Familiarity with algorithms both in supervised and un-supervised learning Should have significant command of Generative AI, Microsoft OpenAI platform (Azure OpenAI), GPTs, LLMs concepts and techniques with solid hands-on experience Exposure at implementing CI/CD pipelines to streamline development and deployment Expertise with hands on experience in Vector Databases for semantic search, Advanced RAG approaches for LLM models Very Good experience in Machine Learning, Deep Learning, Computer Vision, NLP with model architecture Expertise in effectively building and deploying ML systems using frameworks such as PyTorch, TensorFlow, Keras, sklearn etc Exposure in modular, typed, and object-oriented Python programming Familiar with the core data science languages (such as Python, R, Scala) and with data systems (e.g.SQL, NoSQL) Excellent communication skills with a desire to work in multidisciplinary teams Expert for analysing the errors of the model and designing strategies to overcome them Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Way of working - Work from office (5 days a week) Job Title: Software Development Engineer III Location: Bangalore Tenure: 5 to 7 years Position Overview: As an SDE III at Swiggy, you will play a pivotal role in designing and architecting intelligent systems with a strong emphasis on Agentic AI and multi-agent frameworks. You will contribute to the development of cutting-edge Conversational AI platforms using technologies like Langchain, Langraph, and LLMs from providers such as OpenAI, Anthropic (Claude), Bedrock, Azure, and others. Your responsibilities include owning end-to-end architecture for your team's systems, co-driving the team's technical vision, and transforming product requirements into scalable, production-grade AI solutions. Collaboration with cross-functional product and business teams will be essential to translate product features into intelligent, agent-driven designs and drive the delivery of high-impact applications. What qualities are we looking for . B Tech/M Tech in Computer Science or equivalent from a reputed college with minimum 5+ years of Experience in Product Development Company . Experience working with AI agents, including multi-agent architectures. . Familiarity with agentic AI systems and conversational AI platforms. . Practical knowledge of LLMs (Large Language Models), including integration with providers like OpenAI, Anthropic (Claude), Bedrock, Falsh, and Azure OpenAI. . Strong design skills involving data modeling and low level class design . Good knowledge of object oriented programming and design pa erns . Proficiency in at least one programming language - Python, Java, Golang . Follow industry coding standards and responsible for writing maintainable/scalable/efficient code to solve business problems . Hands-on experience of working with Databases and Linux/Unix platform . Hands-on experience with Langchain or LangGraph for building AI-driven workflows and orchestration. . Strong technical aptitude and good knowledge of CS fundamentals . What will you get to do here . Coming up with best practices to help the team achieve their technical tasks and continually thrive in improving the technology of the product/team. . Driving the adoption of best practices & regular Participation in code reviews, design reviews, architecture discussions. . Experiment with new & relevant technologies and tools, and drive adoption while measuring yourself on the impact you can create . Implementation of long term technology vision for your team. . Creating architectures & designs for new solutions around existing/new areas . Decide technology & tool choices for your team & be responsible for them. Visit our tech blogs to learn more about some of the challenging Problem Statements the team works at:- . https://bytes.swiggy.com/engineering-challenges-at-swiggy-430dea6c86a3 . https://bytes.swiggy.com/the-swiggy-delivery-challenge-part-one-6a2abb4f82f6 . https://bytes.swiggy.com/what-serviceability-means-at-swiggy-c94c1aad352a . https://bytes.swiggy.com/architecture-and-design-principles-behind-the-swiggys-delivery-partner s-app-4db1d87a048a . https://bytes.swiggy.com/swiggy-distance-service-9868dcf613f4 . https://bytes.swiggy.com/the-tech-that-brings-you-your-food-1a7926229886 We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, disability status, or any other characteristic protected by the law.

Play a major role in building products leveraging the latest innovations around LLMs Work closely with teams across ASAPP, including Product, Research and Platform / Infrastructure Keep up with, apply and possibly contribute to the latest innovations from the NLP community that could impact our product Strong architectural skills, with proven experience designing complex software systems Strong engineering skills, with at least an intermediate level skill in Python Demonstrated ability in leading technical teams Experience implementing technical solutions, tackling tough engineering problems to help build our products Experience building and deploying production ML models to solve real-world problems Experience working in Research and/or bringing cutting-edge innovation to production A Masters Degree in a field of science, technology, engineering or math, or equivalent hands-on experience Desire to learn new things, work closely with peers from different teams, and open to teach and learn from others. Location - Pune.

Python Programming: Proficiency in Python, Working with libraries like TensorFlow, PyTorch,Transformers,NLTK,Pandas,sklearn, and other related libraries used in NLP tasks and fine tuning language models. Experience with building comprehensive python modules for NLP tasks like tokenization, word embeddings,classifications. Evaluating and selecting the open source and/or commercial LLMs suitable for financial lending domains Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

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

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. Key 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. 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@sourcedeskglobal.com. Include a short note on your most interesting AI project or voicebot/conversational AI experience.

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology&mdashwe set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquos possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. We invite applications for the role of Principal Consultant - Data Science Architect Job Description: We are seeking a highly experienced and visionary Data Science Architect to lead the design and implementation of scalable data science solutions across our organization. This role requires a strategic thinker with deep technical expertise in machine learning, data engineering, and analytics architecture. You will collaborate with cross-functional teams to drive innovation, optimize data workflows, and ensure the successful deployment of advanced analytics and AI solutions. Key Responsibilities: . Architect and implement end-to-end data science solutions, from data ingestion to model deployment and monitoring. . Collaborate with engineering, product, and business teams to define AI/ML strategies aligned with business goals. . Lead the selection and integration of data science tools, platforms, and frameworks. . Collaborate with data engineers, analysts, and business stakeholders to translate business problems into analytical solutions. . Define best practices for model governance, versioning, reproducibility, and scalability. . Mentor and guide data scientists and engineers on technical and architectural decisions. . Ensure data quality, security, and compliance across all data science initiatives. . Evaluate emerging technologies and trends in AI/ML to keep the organization at the forefront of innovation. Qualifications we seek in you! Minimum Qualifications . Bachelor%27s or Master&rsquos degree in Computer Science, Data Science, Statistics, or a related field (Ph.D. preferred). . experience in data science, with at least 2 years in an architect or lead role . Proven experience designing and deploying machine learning models in production environments. . Strong programming skills in Python, R, or Scala and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). . Expertise with with GenAI, LLMs, or advanced NLP techniques. Experience in building GenAI or LLM-based applications. . Familiarity with big data technologies (e.g., Spark, Kafka, Delta Lake) and modern data stack components . Experience in product engineering . Certifications in cloud architecture or data science. . Good understanding of cloud platforms (AWS, Azure, GCP) and MLOps tools (MLflow, Kubeflow, etc.). . Excellent communication skills and the ability to influence technical and non-technical stakeholders. Why join Genpact . Lead AI-first transformation - Build and scale AI solutions that redefine industries . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career&mdashGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills . Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace . Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

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.

Preferred candidate profile 1. LLM Basics : (Llama, Gemini ) : Understand the basics of generative AI and LLMs, such as key terminology, uses, potential issues, and primary frameworks. One should know what the data is trained on and any potential biases/issues that there may be with the data . Knowledge on know exactly how big LLMs can be, how computationally expensive training will be, and the differences between training LLMs and machine learning models. 1. Prompt Engineering : Knowledge on designing inputs for LLMs once theyre developed. 2. Prompt Engineering with OpenAI : As a leading figure in LLMs and generative AI, it’s important to know how to use prompt engineering specifically with OpenAI tools, as you’ll likely be using them at some point in your career. 3. Question-Answering :Question-answering (QA) LLMs are a type of large language model that has been trained specifically to answer questions. 4. Fine-Tuning : Knowledge on Fine-tuning to improve the performance of an LLM on a variety of tasks, including text generation, translation, summarization, and question-answering. Customize LLMs for specific applications, such as customer service chatbots or medical diagnosis systems. Awareness on supervised learning. This involves providing the LLM with a dataset of labelled data, where each data point is a pair of input and output.. 1. Lang Chain : To architect complex LLM pipelines by chaining multiple models together (Classification, text generation, code generation, etc.)`Agents` to interact with all these external systems to execute actions dictated by LLMs. 2. Parameter Efficiency/Tuning : LORA 3. RAG Building : Generative AI, mastering RAG building—short for Retrieval-Augmented Generation—is becoming increasingly crucial 4. ML OPS and in particular LLMOps : Large Language Model Operations, is the practice of managing and maintaining large language models (LLMs) in a production setting 5. TensorFlow i s like a versatile toolbox for creating intelligent programs that can learn and understand various concepts, including machine learning, deep learning, and data science

Work Experience: Overall 10+ years of quality engineering experience with DWH/ETL for enterprise grade applications Hands on experience with functional, non-functional and automation of products Hands on experience with leverage LLMs/GenAI for improving efficiency & effectiveness of overall delivery process Role & Responsibilities: Leading end-to-end QE for product suite Authoring QE test strategy for a release and executing it for a release Driving quality releases by closely working with development, PMs, DevOps, support and business teams Achieving automation coverage for product suite with good line coverage Manage risks and resolves issues that affect release scope, schedule and quality Work with product teams to understand impacts of branches and code merges, etc. Lead and co-ordinate the release activities including the execution of overall Ability to lead team of SDETs and help them in addressing their issues Mentoring and coaching members in the team Technical Skills: Experience in ETL / BI Testing, using any ETL and Reporting Tool with Oracle / SQL Server / as Database Exposure to Data Warehousing and Dimensional Modelling Concepts Hands-on with coding preferably Python Extensive experience in writing and troubleshooting SQL Queries Ability to achieve good functional coverage of product suite Hands on experience with automation tools (Selenium, TestNg, etc.) Experience with CI/CD tools e.g., Jenkins Experience with tools like JIRA, Confluence, SharePoint, TestRails, Zephyr etc. Experience with performance, volume and stress testing Solid understanding of cloud services platforms e.g., AWS, GCP, Azure etc. Well versed with DBs and SQLs Hand-on experience with GenAI/LLMs/RAGs/Agents Soft Skills: Excellent communication skills. Ability to convey hard/sensitive messages without any apprehensions as well as avoid creating frictions. Ability to navigate thru organization independently.

We are the perfect match if you have: 1-3 years of experience in Product Management, preferably in a SaaS-based environment. Strong problem-solving skills and structured thinking ability. Demonstrated business acumen understands the why behind features, prioritizes for business impact, and can break down user problems to drive user-centric solutions. Experience shipping SaaS platforms that delivered measurable business outcomes and improved user efficiency. Experience performing customer research to deeply understand user needs and translate insights into actionable opportunities. Excellent analytical and visualization skills ability to distill complex business requirements into clear and actionable product features. Working knowledge of LLMs and modern RAG (Retrieval-Augmented Generation) techniques. Basic prompting skills using leading models like Claude, GPT, or similar. Practical experience in writing detailed PRDs, defining user stories, and setting clear acceptance criteria for technical team. Strong written and verbal communication skills ability to collaborate seamlessly with engineering, design, marketing, and leadership teams. Self-motivated and proactive, with a strong sense of ownership and accountability in a fast-paced environment. Experience working with Jira or similar product management tools for sprint planning and backlog management. It s an added plus if you also have: Hands-on ownership or contribution to AI-based features/modules, such as document intelligence, knowledge management systems, AI-driven workflow automation, smart search and retrieval systems, or risk and compliance automation using AI. Exposure to privacy, security, or compliance-focused products. Comfort working with design tools like Figma and create quick prototypes using any modern AI tools

Expertise in Python, R, SQL, and common ML libraries (scikit-learn, TensorFlow, PyTorch, XGBoost, etc.). Strong understanding of MLOps, data engineering, and cloud platforms (AWS, GCP, Azure).

Develop &maintain web applications using Ruby on Rails Write clean, scalable& maintainable code Manage &collaborate using Git &other version control system Leverage LLMs/AI tools to enhance productivity &streamline process Troubleshoot &resolve issue Required Candidate profile Experience in programming languages such as Python, JavaScript/ Elixir Exposure to frontend frameworks/libraries for full-stack development Work along cross-functional team to deliver quality solution

Notice Period : Candidates with up to 1-month notice preferred Findability Sciences is looking for a hands-on AI expert with experience in developing and implementing comprehensive predictive and generative AI solutions. This is a core technical role rather than a support-based one. You will lead innovation and delivery across multiple industries. What we are looking for: 3+ years of experience in AI/ML with a Masters or Ph.D. in a relevant field Strong knowledge of Python, SQL, Machine Learning, LLMs, RAG, and Prompt Engineering Experience in predictive modeling, time series forecasting, and generative AI use cases Experience with ML Ops workflows model deployment, monitoring, versioning, and pipeline automation Key Responsibilities: Design and deploy predictive & GenAI solutions for real-world business use cases Build and optimize LLM-based workflows for summarization, retrieval, and Q&A Collaborate with cross-functional teams to define use cases and develop proof-of-concepts Translate business problems into ML/GenAI solutions and deliver outcomes Validate, compare, and optimize models for performance and scalability Apply basic ML Ops practices to ensure smooth deployment and monitoring of models Contribute to reusable pipelines, prompt tuning strategies, and production integration Present actionable insights and models to stakeholders clearly and effectively

AI Software Engineer (Temp-to-Permanent) Remote – Work from Home - India Position Type: Temporary-to-Permanent Location: India (Remote) Domain: Products and Services (AI-driven solutions) Target Candidates: Indian nationals Role Overview We are seeking motivated AI Software Engineers for a temp-to-permanent positions (multiple) to join our dynamic team focused on developing innovative AI powered products and services. This role offers the opportunity to work on cutting-edge AI solutions, with the potential for transition to a permanent role based on performance and business requirements. Key Responsibilities Design, develop, and implement AI models and algorithms to solve real-world business challenges. Analyze and interpret large datasets to extract actionable insights and inform product development. Train, test, and optimize AI models for performance, scalability, and reliability. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver end-to-end AI solutions. Contribute to the deployment and integration of AI models within products and services. Stay updated with the latest advancements in AI/ML technologies and best practices. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Machine Learning, Artificial Intelligence, or a related field. Undergraduates pursuing such a degree can apply – and work part-time (min. 4 hrs/day) alongside studies, leading to full-time employment post completion of degree upon satisfactory performance at work, and meeting or exceeding expectations of the Employer. 0-4 years of experience in software development, with atleast 6 months to 1 year with focus on AI/ML projects (freshers with exceptional portfolios may also be considered). Proficiency in programming languages such as Python, and/or Java. Experience with Llama 3, 4 , Google AI, ChatGPT, Claude desired. Experience with AI no-code tools, code generators, and automated testing software desired. Experience with machine learning frameworks (e.g., llama, TensorFlow, PyTorch, scikit-learn). Strong understanding of data structures, algorithms, and software engineering principles. Familiarity with data analysis and visualization tools. Excellent problem-solving and communication skills (should be able to understand deliverables clearly and communicate work areas, for e.g – explain code formats, and logic used, code alternatives etc. Should have the ability to document work done. We require only candidates who can work independently as well, and are proactive and have a positive attitude towards their work. Preferred Skills Experience in deploying AI models to production environments. Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps practices. Exposure to deep learning, NLP, computer vision, or reinforcement learning. Prior experience working with agile teams, remote teams, on product-oriented projects. Client communication experience a plus. Compensation Competitive salary: The temporary period would be 2-3 months before full-time employment. Payouts would be INR 12,500 to INR 20,000 monthly for the temp employment period, and could be INR 40,000 (and upwards) monthly post the temporary employment period – dependent on experience, performance and project scopes for full-time employment. Potential for performance-based conversion to a permanent role. Career Path This temp-to-permanent opportunity allows candidates to gain hands-on experience in AI product development, demonstrate their skills, and transition into a long-term role aligned with their career aspirations How to Apply Send an email to AIforBussiness2@gmail.com and shishir@AIforBussiness.com Submit your resume highlighting experience with AI base development (tools, frameworks, applications) with github and/or other links to relevant projects or portfolios. Shortlisted candidates will undergo an initial technical assessment and interview to evaluate their fitment for the role. Note: This job description is for India based candidates interested in AI roles within product and service development only, offering a pathway from temporary to permanent employment based on performance and organizational needs. If you are interested in other tech or marketing/business development roles you may connect on linkedin at https://www.linkedin.com/in/shishir-sharan/ Role & responsibilities Preferred candidate profile

We are seeking a proficient AI/ML Engineer responsible for testing, deploying, and hosting various Large Language Models (LLMs). The role involves monitoring deployed agentic services, ensuring their optimal performance, and staying abreast of the latest advancements in AI technologies. Key Responsibilities: LLM Deployment & Hosting Evaluate, test, and deploy diverse LLMs on cloud-based and on-premise infrastructures. Optimize model performance for scalability and efficiency. Implement secure API endpoints and model-serving pipelines. Strong CI/CD skills and knowledge of CI/CD tools like Jenkins, GitHub Actions, CircleCI etc. Agentic AI Services Deploy and maintain AI agents using frameworks such as CrewAI, Agnos(Phi Data), AutoGen etc. Integrate LLMs into business workflows and automation tools. Design, monitor, and enhance agentic services for real-world applications. Monitoring & Optimization Utilize advanced observability tools to monitor model performance, latency, and cost efficiency. Implement tools like AgentOps, OpenLIT, Langfuse, and Langtrace for comprehensive monitoring and debugging of LLM applications. Develop logging, tracing, and alerting systems for deployed models and AI agents. Conduct A/B testing and gather user feedback to refine AI behavior. Address model drift and retrain models as necessary. Best Practices & Research Stay updated with the latest advancements in AI, LLMs, and agentic systems. Implement best practices for prompt engineering, reinforcement learning from human feedback (RLHF), and fine-tuning methodologies. Optimize compute costs and infrastructure usage for AI applications. Collaborate with researchers and ML engineers to integrate state-of-the-art AI techniques. Strong knowledge on version control tools like GitHub Qualifications & Skills: Proficiency with LLM frameworks such as Hugging Face Transformers, OpenAI API, or Meta AI models. Strong programming skills in Python and experience with deep learning libraries (PyTorch, TensorFlow, JAX). Experience with cloud platforms (AWS, Azure, GCP) and model deployment tools (Docker, Kubernetes, FastAPI, Ray Serve). Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG) techniques. Hands-on experience with monitoring tools such as AgentOps, OpenLIT, Langfuse, and Langtrace. Understanding of prompt engineering, LLM fine-tuning, and agent-based automation. Excellent problem-solving skills and the ability to work in a dynamic AI research and deployment team. Preferred Qualifications: Experience in reinforcement learning, fine-tuning LLMs, or training custom models. Knowledge of security best practices for AI applications. Contributions to open-source AI/ML projects or research publications in the field.

Lead Software Engineer: We are seeking a highly motivated and experienced Lead Software Engineer to join our dynamic team. As a key member of our team, you will contribute to the development of innovative cutting-edge solutions, collaborating with cross-functional teams, and driving the delivery of new products and features that meet our customer needs. About the Role: Work closely with business partners and stakeholders to identify requirements and prioritize new enhancements and features Collaborate with software engineers, architects, technical management, and business partners across geographical and organizational boundaries Assist in architecture direction and finalize design with Architects Break down deliverables into meaningful stories for the development team Provide technical leadership, mentoring, and coaching to software or systems engineering teams Share knowledge and best practices on using new and emerging technologies Provide technical support to operations or other development teams by troubleshooting, debugging, and solving critical issues Interpret code and solve problems based on existing standards Create and maintain technical documentation related to assigned components About You: To be successful in this role, you should have: Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or equivalent experience 7+ years of professional software development experience Strong technical skills, including: Python programming (3+ years) AWS experience with EKS/Kubernetes Experience with LLMs, AI Solutions, and evaluation Understanding of agentic systems and workflows Experience with Retrieval Systems leveraging tools like OpenSearch Experience with event-driven/asynchronous programming Experience with high-concurrency systems Experience with CI/CD using GitHub Actions and AWS services (Code Pipeline/Code Build) Strong understanding of Microservices and RESTful APIs FastAPI Celery Data Engineering background Experience with AWS services (Redis, DynamoDB, S3, SQS, Kinesis, KMS, IAM, Secret Manager, etc.) Performance optimization and security practices Self-driven with ability to work with minimal direction Strong context-switching abilities Problem-solving mindset Clear communication Strong documentation habits Attention to detail

Job Summary Director, Collection Platforms and AI As a director, you will be essential to drive customer satisfaction by delivering tangible business results to the customers. You will be working for the Enterprise Data Organization and will be an advocate and problem solver for the customers in your portfolio as part of the Collection Platforms and AI team. You will be using communication and problem-solving skills to support the customer on their automation journey with emerging automation tools to build and deliver end to end automation solutions for them. Team Collection Platforms and AI Enterprise Data Organizations objective is to drive growth across S&P divisions, enhance speed and productivity in our operations, and prepare our data estate for the future, benefiting our customers. Therefore, automation represents a massive opportunity to improve quality and efficiency, to expand into new markets and products, and to create customer and shareholder value. Agentic automation is the next frontier in intelligent process evolution, combining AI agents, orchestration layers, and cloud-native infrastructure to enable autonomous decision-making and task execution. To leverage the advancements in automation tools, its imperative to not only invest in the technologies but also democratize them, build literacy, and empower the work force. The Collection Platforms and AI team's mission is to drive this automation strategy across S&P Global and help create a truly digital workplace. We are responsible for creating, planning, and delivering transformational projects for the company using state of the art technologies and data science methods, developed either in house or in partnership with vendors. We are transforming the way we are collecting the essential intelligence our customers need to do decision with conviction, delivering it faster and at scale while maintaining the highest quality standards. What were looking for ? You will lead the design, development, and scaling of AI-driven agentic pipelines to transform workflows across S&P Global. This role requires a strategic leader who can architect end-to-end automation solutions using agentic frameworks, cloud infrastructure, and orchestration tools while managing senior stakeholders and driving adoption at scale. A visionary technical leader with knowledge of designing agentic pipelines and deploying AI applications in production environments. Understanding of cloud infrastructure (AWS/Azure/GCP), orchestration tools (e.g., Airflow, Kubeflow), and agentic frameworks (e.g., LangChain, AutoGen). Proven ability to translate business workflows into automation solutions, with emphasis on financial/data services use cases. An independent proactive person who is innovative, adaptable, creative, and detailed-oriented with high energy and a positive attitude. Exceptional skills in listening to clients, articulating ideas, and complex information in a clear and concise manner. Proven record of creating and maintaining strong relationships with senior members of client organizations, addressing their needs, and maintaining a high level of client satisfaction. Ability to understand what the right solution is for all type of problems, understanding and identifying the ultimate value of each project. Operationalize this technology across S&P Global, delivering scalable solutions that enhance efficiency, reduce latency, and unlock new capabilities for internal and external clients. Exceptional communication skills with experience presenting to C-level executives Responsibilities Engage with the multiple client areas (external and internal) and truly understand their problem and then deliver and support solutions that fit their needs. Understand the existing S&P Global product to leverage existing products as necessary to deliver a seamless end to end solution to the client. Evangelize agentic capabilities through workshops, demos, and executive briefings. Educate and spread awareness within the external client-base about automation capabilities to increase usage and idea generation. Increase automation adoption by focusing on distinct users and distinct processes. Deliver exceptional communication to multiple layers of management for the client. Provide automation training, coaching, and assistance specific to a users role. Demonstrate strong working knowledge of automation features to meet evolving client needs. Extensive knowledge and literacy of the suite of products and services offered through ongoing enhancements, and new offerings and how they fulfill customer needs. Establish monitoring frameworks for agent performance, drift detection, and self-healing mechanisms. Develop governance models for ethical AI agent deployment and compliance. Preferred Qualification 12+ years work experience with 5+ years in the Automation/AI space Knowledge of: Cloud platforms (AWS SageMaker, Azure ML; etc) Orchestration tools (Prefect, Airflow; etc) Agentic toolkits (LangChain, LlamaIndex, AutoGen) Experience in productionizing AI applications. Strong programming skills in python and common AI frameworks Experience with multi-modal LLMs and integrating vision and text for autonomous agents. Excellent written and oral communication in English Excellent presentation skills with a high degree of comfort speaking with senior executives, IT Management, and developers. Hands-on ability to build quick prototype/visuals to assist with high level product concepts and capabilities. Experience in deployment and management of applications utilizing cloud-based infrastructure. A desire to work in a fast-paced and challenging work environment Ability to work in a cross functional, multi geographic teams

Job Title: SaaS AI Architect Location: Chennai Experience: 5 to 8+ Years Industry: IT Services / Software Product Department: Engineering / Product Development Employment Type: Full Time, Permanent About Anubavam Anubavam is a global software innovation company with over 15 years of experience delivering scalable digital solutions to clients in more than 25 countries. Our mission is to transform education and enterprise experiences through cutting-edge technology. Our flagship product, Creatrix Campus , is an AI-powered SaaS platform that enables end-to-end student lifecycle management for higher education institutions. About Creatrix Campus Creatrix Campus is a next-generation SaaS platform built specifically for higher education institutions. With a growing customer base across the USA, UAE, Malaysia, and other regions, Creatrix simplifies academic operations through AI, automation, and low-code configurability. The platform is designed to be modular, scalable, and performance-oriented. We are rapidly expanding and fostering an architecture-driven engineering culture. Role Overview We are seeking an experienced SaaS AI Architect to lead the architectural modernization of our core platform, transition monolithic components into microservices, and design AI-ready backend systems. The ideal candidate will have strong hands-on experience in Python development, a product-oriented mindset, and the ability to collaborate across functional teams to deliver enterprise-grade software. Key Responsibilities Lead the transition from legacy PHP monoliths to scalable Python-based microservices. Design and implement API-first, modular, and cloud-native backend components. Build backend engines to support schema-driven UI, dynamic workflows, and metadata-based configurations. Drive configurability and extensibility for low-code/no-code development needs. Integrate AI/ML APIs including OCR, NLP, recommendation engines, and LLMs such as OpenAI. Ensure AI services are modular, efficient, and scalable for production use. Implement and manage CI/CD pipelines, Docker containers, and Git-based workflows. Optimize backend performance, system reliability, and scalability across environments. Work closely with Product Managers, QA teams, UI/UX designers, and global delivery teams to ensure timely and high-quality releases. Contribute to technical documentation and mentoring of engineering teams. Must-Have Skills and Experience 5 to 8 years of backend engineering experience, with a strong focus on Python (FastAPI or Django). Expertise in microservices architecture, RESTful APIs, Docker, and Git. Experience in modernizing legacy PHP systems to Python. Practical exposure to AI/ML APIs (OCR, NLP, LLMs) and their integration into backend systems. Experience in building metadata-driven or configurable engines (e.g., dynamic forms, workflow builders). Strong understanding of API security, authentication, rate limiting, and secure data handling. Preferred Qualifications Prior experience working with Higher Education systems such as SIS, LMS, or accreditation tools. Familiarity with low-code/no-code platforms (e.g., n8n, Camunda). Experience working in fast-paced SaaS environments with Agile methodologies. Knowledge of PostgreSQL, Redis, GraphQL, and event-driven architectures. Why Join Anubavam Technologies! We believe in creating a workplace that is engaging, rewarding, and growth-focused. Heres what you can expect: Competitive compensation based on experience and market standards Flexible work hours and hybrid work options Health insurance coverage for employees and dependents Annual performance bonuses and recognition programs Learning and development allowance to support certifications and upskilling Clear career paths and growth into senior platform or SRE roles Positive, inclusive team culture focused on collaboration, innovation, and shared success Opportunities to work on global SaaS products used by top universities worldwide A chance to make a real impact by supporting the digital transformation of education How to Apply Interested candidates may send their resumes to Pothis.karan@anubavam.com

We are seeking a skilled Senior Full Stack Developer to drive the development of complex applications using React, FastAPI, and AI/ML technologies. The ideal candidate should have hands-on experience with AI models, including LLMs, chatbots, and autonomous agents, as well as proficiency in managing PostgreSQL, MongoDB databases. You will collaborate with our global team to develop and scale product solutions in a fast-paced, innovative environment. Key Responsibilities: Design, develop, and maintain scalable, high-performance web applications using React (front-end) and FastAPI (back-end). Integrate and implement AI/ML technologies, including LLMs, chatbots, and autonomous agents to enhance product capabilities. Manage and optimize PostgreSQL and MongoDB databases, ensuring optimal performance and high availability. Leverage AWS services for cloud infrastructure management and scalability. Collaborate with cross-functional teams, including product managers, data scientists, and designers, to build innovative solutions. Maintain CI/CD pipelines and automate deployments using GitHub and other relevant tools. Actively contribute to the technical direction and improvement of the platform and development processes. Skills & Qualifications: 8-10 years of experience in full-stack development. Strong expertise in React and FastAPI for building and maintaining scalable applications. Hands-on experience with AI/ML technologies such as LLMs, chatbots, and autonomous agents. Proficiency in PostgreSQL and MongoDB, with excellent SQL skills. Experience with AWS cloud services for building scalable infrastructure. Experience in CI/CD practices and maintaining GitHub repositories. Strong communication skills in English (both written and verbal). Ability to work in a fast-paced, agile development environment with global teams. Strong problem-solving and analytical skills. Notice Period Immediate joiners only (1 week or less)

Immediate opening for "AI Architect (Generative AI)" Location : Remote Experience :- 15 to 23 yrs Quantaleap INC. is seeking a highly experienced AI Architect with deep expertise in Generative AI to drive innovative solution design and architecture for enterprise use cases. This role requires a strategic thinker with a strong foundation in AI/ML technologies and a proven ability to lead high-impact AI initiatives across diverse domains. Key Responsibilities: Architect end-to-end AI solutions leveraging Generative AI technologies (LLMs, diffusion models, transformers, etc.). Evaluate and recommend cutting-edge tools, frameworks, and models suitable for enterprise-grade deployments. Collaborate with cross-functional teams for RFP responses, technical proposals, and client presentations. Lead the development of scalable AI solutions from POC to production across multiple industry verticals. Guide technical teams on best practices in AI model development, fine-tuning, and deployment. Must-Have Skills: 15+ years of overall experience with a strong focus on AI/ML architecture In-depth knowledge of Generative AI technologies, including LLMs (GPT, BERT), GANs, and foundation models Experience in deploying AI models in cloud-native and on-prem environments Strong understanding of MLOps, data pipelines, and model lifecycle management Proven track record in presales, RFP responses, and enterprise solutioning Excellent stakeholder management and client-facing communication skills Interested can share their updated resume to anitha.mudaliyar@quantaleap.com

Role & responsibilities Please Note - This is not a walk in interview only shortlisted candidates will be called. Your key responsibilities Proven ability to design, build, and deploy end-to-end AI/ML systems in production. Expertise in data science , including statistical analysis, experimentation, and data storytelling. Experienced in working with large-scale, real-world datasets for model training and analysis. Comfortable navigating urgency, ambiguity, and fast-changing priorities . Skilled at solving complex ML problems independently , from idea to implementation. Strong leadership experience building and guiding high-performing AI teams . Hands-on with deep learning, NLP, LLMs , and classical ML techniques. Fluent in model experimentation, tuning, optimisation , and evaluation at scale. Solid software engineering background and comfort working with data and full-stack teams . Experience with cloud platforms (GCP, AWS, Azure) and production-grade ML pipelines. Bias for action willing to jump into code, data, or ops to ship impactful AI products . Your skills and experience PhD in Computer Science, Data Science, Machine Learning, AI, or a related field. Strong programming skills in Python (preferred), with experience in Java, Scala, or Go a plus. Deep expertise with ML frameworks like TensorFlow, PyTorch, Scikit-learn. Experience with large-scale datasets , distributed data processing (e.g. Spark, Beam, Airflow). Solid foundation in data science : statistical modeling, A/B testing, time series, and experimentation. Proficient in NLP, deep learning , and working with transformer-based LLMs . Experience with MLOps practices — CI/CD, model serving, monitoring, and lifecycle management. Hands-on with cloud platforms (GCP, AWS, Azure) and tools like Vertex AI, SageMaker, or Databricks. Strong grasp of API design , system integration, and delivering AI features in full-stack products. Comfortable working with SQL/NoSQL , and data warehouses like BigQuery or Snowflake. Familiar with ethical AI, model explainability , and secure, privacy-aware AI development

Job purpose: Design, evaluate, and refine prompts to guide LLMs in producing accurate, relevant, and high-quality outputs for real-world applications such as voice bots, chatbots, and automation flows. Who You Are: Minimum of 2-4 years of experience working with or around Large Language Models or similar Generative AI technologies. Hands-on experience working with LLMs using OpenAI, Hugging Face, or similar platforms. Basic understanding of Python and ability to write prompt-related scripts. Familiarity with prompt evaluation frameworks and performance metrics. Key Responsibilities: Design and engineer effective prompts for use with LLMs (e.g., GPT, Claude, Mistral). Analyze model behavior and refine prompts for accuracy, relevance, and efficiency. Collaborate with product, engineering, and ML teams to integrate prompt logic into production systems. Conduct testing and evaluation of prompts across multiple tasks and domains. Research and experiment with techniques such as few-shot, zero-shot, and chain-of-thought prompting. What will excite us: Experience using LangChain or other LLM orchestration tools. Understanding of embeddings, vector databases, and semantic search. Prior experience building chatbot or GenAI applications. Awareness of model behavior limitations, hallucination risks, and mitigation strategies. What will excite you: In-office opportunity in Ahmedabad with a collaborative and AI-focused team. Work on innovative Gen AI projects with real-world impact. Exposure to production-level LLM deployment and prompt optimization at scale. Location: Ahmedabad

Role & responsibilities You will be embedded within a team of machine learning engineers and data scientists; responsible for building and productizing generative AI and deep learning solutions. You will: Design, develop, and evaluate generative AI models for vision and data science tasks. Collaborate with cross-functional teams to integrate AI-driven solutions into business operations. Build and enhance frameworks for automation, data processing, and model deployment. Develop and deploy AI agents, including Retrieval-Augmented Generation (RAG) systems. Utilize Gen-AI tools and workflows to improve the efficiency and effectiveness of AI solutions. Conduct research and stay updated with the latest advancements in generative AI and related technologies. REQUIREMENTS: B. Tech, M. Tech or PhD in computer science, electrical engineering, statistics or math. At least 8 years of working experience in data science, computer vision, or related domain. Proven experience with building and deploying generative AI solutions. Strong programming skills in Python and solid fundamentals in computer science, particularly in algorithms, data structures, and OOP. Experience with Gen-AI tools and workflows. Proficiency in both vision-related AI and data analysis using generative AI. Experience with cloud platforms and deploying models at scale. Experience with transformer architectures and large language models (LLMs). • Familiarity with frameworks such as TensorFlow, PyTorch, and Hugging Face. • Proven leadership and team management skills. DESIRED SKILLS: • Working experience with AWS is a plus. • Knowledge of best practices in software development, including version control, testing, and continuous integration. • Working knowledge of common industry frameworks and tools around building LLMs, such as OpenAI, GPT, BERT, etc. • Experience with MLOps tools and practices for continuous deployment and monitoring of AI models.