76 Llms Jobs - Page 2

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

Data Scientist Experience: 4 - 10 Years Exp Salary : Competitive Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python, Python Pandas, Scikit Learn, TensorFlow, Pytorch, Neural Networks, Transformers, LLMs Good to have skills : Docker, Kubernetes TatvaCare (One of Uplers' Clients) is Looking for: Data Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Job Description: Position: Data Scientist Business Division: AI Labs Reporting To: Chief Technology Officer Location: Bangalore Company Website: www.tatvacare.in TatvaCare, a startup in the Indian health tech landscape, is catalyzing the transformation of care practices through digitisation. TatvaCare is a full-spectrum technology solution that solves across various aspects of both patients and doctors needs and their interactions to significantly improve health positives. Guided by a fundamental principle of connecting the patient care continuum to ultimately provide positive outcomes. As a digital system TatvaCare empowers both healthcare professionals and individuals with chronic conditions to create healthy habits leading to positive health outcomes. Role Overview Responsible for designing and implementing machine learning models to solve critical business challenges, including tasks such as classification, regression, clustering and recommendation systems. Develop and manage end-to-end data science pipelines, handling data preprocessing, feature engineering, model development, evaluation, and deployment. Collaborate with cross-functional teams to integrate machine learning models into production systems and ensure alignment with business objectives. Monitor and improve model performance continuously, staying up to date with the latest advancements in AI/ML to optimize solutions. Work with a variety of data types, including structured datasets and unstructured data (text, images, voice, sensor data), to develop robust machine learning models. Ensure that all models are scalable, accurate, and provide actionable insights, delivering measurable business value. Requirements: 4+ years of hands-on experience in data science and machine learning, with a solid track record of delivering successful projects. Strong analytical and problem-solving skills, with the ability to manage large, complex datasets. Proficient in Python, with hands-on experience in libraries such as Pandas, Scikit-learn, TensorFlow, and PyTorch. Experience in Convolutional Neural Networks, Transformers, Transfer Learning from LLMs to SLMs (Smaller Language Migration). Experience with NLP techniques and deep learning models, including CNNs, RNNs, Transformers, and LLMs, especially in tasks like classification and sentiment analysis. Proven experience in deploying machine learning models in production environments. Experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies like Docker and Kubernetes is a plus. Excellent communication skills and the ability to work effectively in collaborative team environments. Bachelors or masters degree in computer science, or a related field. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: TatvaCare is transforming care practices to deliver positive health outcomes. TatvaCare, a startup in the Indian health tech landscape, is catalyzing the transformation of care practices through digitisation. Our product portfolio includes TatvaPractice, an advanced EMR and Knowledge platform for healthcare professionals, and MyTatva, a Digital Therapeutics application designed to manage chronic diseases like Fatty Liver, COPD, and Asthma. Through these initial solutions and more to come, we aim to bridge the gap in healthcare, connecting professionals and patients. We are committed to revolutionizing healthcare in India, promoting efficient, patient-centric care, and optimizing outcomes across the healthcare spectrum.] About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Data Scienctist (MRF00718) - J48913 ROLE: Data Scientist Data Scientist who would be involved in analyzing large data set, identifying patterns, design prompt to extract relevant entities using Generative AI technologies. Location: Anywhere in India Work from Home following below conditions are MANDATORY: If Offered, candidate must visit office Company`s Bangalore Development Center to collect laptop on his/her own. Visit Bangalore Company`s Development Center for work from office for 5 days in every 6 months but company will not reimburse for stay and travel expenses. Education: BE/B.Tech/MCA/M.Sc/MCM/M.Tech/Phd Requirement details: Self-Motivated, Dynamic & result oriented Professional Specialization in Data Science Experience in AI projects, including familiarity with AI and machine learning frameworks (PyTorch, LLMs, NLP, Computer Vision, GenAI). Strong understanding of deep learning concepts and their applications in NLP and Computer vision. Proficiency in Supervised Algorithms. Expertise in Model evaluation and metrics. Working knowledge of generative AI and hands on experience of LLM frameworks. Excellent Programming (Python) skills Excellent Data pre-processing and data cleaning skills. Working knowledge on Fine-tuning and transfer learning Expertise in Cloud computing platforms (AWS, Azure). Expertise in Data visualization. Good to have patents or research papers in ML/AI. Having good Statistics and AI experience will be a plus. Quick learner who exhibits resiliency and tenacity in the face of challenge. Ability to interact with diverse group within and outside of the organization. Agile management tools knowledge - DevOps/JIRA/TFS etc. Required Candidate profile Candidate Experience Should Be : 4 To 8 Candidate Degree Should Be : BE-Comp/IT,BE-Other,BTech-Comp/IT,BTech-Other,MCA,MCM,MCom,MCS,ME-Comp/IT,ME-Other,MIS,MIT,MMS,MSc-Comp/IT,MS-Comp/IT,MSc-Other,MS-Other,MTech-Comp/IT

Designation AI ML Lead Experience 3 to 5 Years Function AI & Data Science Enterprise Delivery Location Chennai Role Team Manager Job Description Purpose of the Job/ Role Were seeking a strategic AI/ML leader to take charge in advancing Bank & AI initiatives. As an AI/ML Lead, you will leverage your expertise in machine learning, data science, and banking to deliver high- impact solutions that drive the business forward. This role combines technical and functional responsibilities, guiding teams to innovate AI and ML solutions that create measurable business outcomes across multiple functions within Banking Vertical. KEY RESPONSIBILITIES Strategic Development and Alignment: Act as a bridge between business and technology, aligning AI/ML projects with organizational objectives and translating complex technical capabilities into functional, business-oriented solutions. Lead the creation of an AI/ML roadmap that balances innovation with Bank's strategic goals and establishes AI as a key differentiator in the market. Techno-Functional Expertise: Work with cross-functional teams to integrate AI/ML models and solutions into business processes, ensuring high adoption and measurable impact across the organization. Drive the development and deployment of production-grade AI models, ensuring scalability, stability, and compliance with Bank& standards. Reusable Frameworks and Best Practices: Develop and promote a comprehensive library of reusable AI/ML assets, including models, feature stores, and templates that accelerate solution delivery across business units. Establish best practices and standards for AI/ML model lifecycle management, ensuring operational efficiency and consistency. AI Governance and Compliance: Lead the establishment of AI governance frameworks that ensure ethical, transparent, and compliant use of AI within the organization. Collaborate with risk, compliance, and security teams to ensure all AI/ML solutions meet regulatory standards and Banks data privacy requirements. Leadership and Collaboration: Mentor and develop a team of data scientists and ML engineers, fostering a culture of innovation, agility, and excellence. Serve as a key advisor on AI/ML initiatives across the organization, partnering with executive leadership to guide technology investments and identify opportunities for AI- driven business transformation. Act as the primary liaison between AI/ML and other business functions, ensuring seamless collaboration and aligning technology solutions with functional priorities. Innovation and Experimentation: Promote experimentation and pilot programs to test cutting-edge AI/ML techniques, adapting new technologies to address Banks unique challenges. Champion a culture of continuous learning and improvement, staying at the forefront of industry trends and emerging technologies. Working Relationships Reporting to VP Business Growth External Stakeholders Clients Skills/ Competencies Required Technical Skills Core Requirements: 3+ years of applied experience in AI and ML , with a minimum of 3 years leading cross-functional AI/ML projects that directly impact business outcomes. Advanced experience in Natural Language Processing (NLP) and Large Language Models (LLMs). Proven track record of building, evaluating, and deploying machine learning models in a production environment. Proficiency in Python and relevant ML frameworks (e.g., TensorFlow, PyTorch) with advanced knowledge of the entire ML development lifecycle. Ability to translate highly technical concepts into functional, business- oriented language that influences decision-making at the executive level. Strong analytical, problem-solving, and decision-making skills, with a capacity to work with ambiguity and prioritize initiatives with high business impact. Preferred: Extensive experience in Banking and a solid understanding of banking products, services, and regulatory requirements. Familiarity with cloud-based AI/ML platforms and their integration within financial ecosystems (e.g., AWS, GCP, or Azure). Experience with agile methodologies and project management tools, allowing for dynamic adaptation to evolving business needs. Soft Skills Excellent written and verbal communication skills, capable of managing relationships with senior stakeholders across technology and business domains. High degree of flexibility, autonomy, and judgment; able to work independently and meet tight deadlines while handling multiple priorities. Commitment to fostering an inclusive, diverse, and respectful work environment that aligns with Banks core values. • Bachelors Degree with 3 years of experience in data analytics, or Masters Degree with 3 years of experience in data analytics. • Hands-on experience in Python and SQL • Experience working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding. • Strong background in Statistical Analysis. • Experience in working on Credit Cards, Retail Banking products Must be proficient in Python and SQL • Experience working banking domain, • High motivation, good work ethic, maturity and personal initiative.

Skills : AI Architect, CoPilot, OpenAI, Gemini, LLMs, Python, Java, or Scala, cloud platforms, GenAI and artificial intelligence solutions, AI /ML, AIOps

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 Summary Member of a software engineering team involved in development & design of AI Data Platform built on NetApps flagship storage operating ONTAP. Data is the currency of business in the digital era. NetApp is the data authority, helping customers leverage and manage their data wherever it resides in the cloud, in their data centers, or anywhere data flows. Engineers at NetApp help transform the way customers utilize their dynamic, diverse, and distributed information. They are allowing doctors to save lives with deep data analytics shared with medical experts around the world, helping automotive engineers improve autonomous vehicle navigation with artificial intelligence, enabling scientists to monitor and identify environmental hazards through deep image analysis, and providing companies the ability to expand their businesses in yet unimagined ways. By joining NetApp, you can take part in transforming how data is changing the world. ONTAP is the #1 Storage Operating System in the world, managing hundreds of Exabytes of customers information. We have more than 30,000 customers today that rely on us to be the data authority. Take part in the transformation that is changing how we work and play daily. An ideal candidate for this position will be driven to produce results, collaborative, curious and creative. He/she strives to excel in their day-to-day work and will continue to produce high quality results without anyone looking over their shoulders. They will bring broad experience across multiple domains including Big Data processing, AI/ML workflows, MLOps, Kubernetes operating systems, storage technologies and distributed systems. Job Requirements Proficiency in programming languages like GO, Python. Experience with Machine Learning Libraries and Frameworks: PyTorch, TensorFlow, Keras, Open AI, LLMs ( Open Source), LangChain etc Experience working in Linux, AWS/Azure/GCP, Kubernetes Control plane, Auto scaling, orchestration, containerization is a must. Experience with No Sql Document Databases (e.g., Mongo DB, Cassandra, Cosmos DB, Document DB) is a must. Experience working building Micro Services, REST APIs and related API frameworks. Experience with Big Data Technologies: Understanding big data technologies and platforms like Spark, Hadoop and distributed storage systems for handling large-scale datasets and parallel processing. Experience with AI/ML frameworks like PyTorch or TensorFlow is a must. Storage Domain experience is a plus. Experience with Filesystems or Networking or file/cloud protocols is a plus. Proven track record of leading mid to large sized projects This position requires an individual to be creative, team-oriented, a quick learner and driven to produce results. Responsible for providing support in the development and testing activities of other engineers that involve several inter-dependencies Participate in technical discussions within the team and with other groups within Business Units associated with specified projects Willing to work on additional tasks and responsibilities that will contribute towards team, department and company goals A strong understanding and experience with concepts related to computer architecture, data structures and programming practices Education Typically requires a minimum of 12 years of related experience with a Bachelors degree or 12 years and a Masters degree; or a PhD with 10 years experience; or equivalent experience.

AI Data Engineer Experience: 3 - 5 Years Exp Salary : USD 18,000-30,000 / year Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Remote Placement Type: Contractual Contract Duration: Full-Time, Indefinite Period (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Dialogflow, FastAPI, LLMs, Pytorch, Python Good to have skills : Airflow, Kubeflow, LangChain, RAGFlow, TensorFlow Steer Health (One of Uplers' Clients) is Looking for: AI Data Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description About the Role Steer Health is seeking a talented **Backend Engineer** with expertise in AI/ML and healthcare technologies to design and implement **AgenticAI workflows** that redefine clinical and operational processes. Youll build scalable backend systems that integrate FHIR-compliant APIs, LLM-driven automation, and conversational AI to solve real-world healthcare challenges. If youre passionate about Python, AI workflows, and making a tangible impact in healthcare, this role is for you. Key Responsibilities -FastAPI to enable seamless data exchange across EHRs, patient portals, and AI agents. - Architect AI-driven workflows using tools like RAGFlow or similar platforms to automate tasks such as clinical documentation, prior authorization, and patient triage. - Develop and fine-tune LLM-based solutions (e.g., GPT, Claude) with PyTorch, focusing on healthcare-specific use cases like diagnosis support or patient communication. - Integrate Dialogflow for conversational AI agents that power chatbots, voice assistants, and virtual health aides. - Collaborate on prompt engineering to optimize LLM outputs for accuracy, compliance, and clinical relevance. - Optimize backend systems for performance, scalability, and security in HIPAA-compliant environments. - Partner with cross-functional teams (data scientists, product managers, clinicians) to translate healthcare needs into technical solutions. Qualifications - 3+ years of backend engineering experience, with expertise in Python and frameworks like FastAPI or Flask. - Hands-on experience with **PyTorch/TensorFlow** and deploying ML models in production. - Familiarity with AI workflow tools (e.g., RAGFlow, Airflow, Kubeflow) and orchestration of LLM pipelines. - Experience integrating Dialogflow or similar platforms for conversational AI. - Strong understanding of LLMs (training, fine-tuning, and deployment) and prompt engineering best practices. - Knowledge of cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes). - Passion for healthcare innovation and improving patient/provider experiences. Preferred Qualifications - Experience in healthcare tech (EHR integrations, HIPAA compliance, HL7/FHIR). - Contributions to open-source AI/healthcare projects. - Familiarity with **LangChain**, **LlamaIndex**, or agentic workflow frameworks. Why Join Steer Health? - Impact: Your work will directly enhance healthcare delivery for millions of patients. - Innovation: Build with the latest AI/ML tools in a fast-paced, forward-thinking environment. - Growth: Lead projects at the intersection of AI and healthcare, with opportunities for advancement. - Culture: Collaborative, mission-driven team with flexible work policies. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Steer Health transforms healthcare with the industry's most widely adopted Al-fueled patient experience and growth. At Steer Health, we're creating next-generation consumer engagement experiences with solutions spanning care communication, patient engagement, scheduling, smart notifications, and more. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

We are looking for passionate Fresh Graduates to join our AI team as an AI/ML Engineer with a focus on Large Language Models (LLMs) and Natural Language Processing (NLP). You will work with GPT, BERT, LLaMA, Falcon, and other LLMs to develop, fine-tune, and deploy AI-powered applications. Key Responsibilities: Fine-tune and optimize LLMs (GPT, BERT, LLaMA, etc.) for real-world applications. Work on chatbots, text generation, summarization, and question-answering models. Experiment with prompt engineering, retrieval-augmented generation (RAG), and embeddings. Deploy AI models using Docker, Hugging Face, and cloud AI services (AWS/GCP/Azure). Collaborate with AI researchers and software engineers to develop cutting-edge solutions. Required Skills & Qualifications: Technical Skills: Python, PyTorch/TensorFlow, Hugging Face Transformers, OpenAI API. LLM Knowledge: Fine-tuning, embeddings, vector search, NLP fundamentals.

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

Lead AI Engineer Experience: 8 - 10 Years Exp Salary : Competitive Preferred Notice Period : Within 30 Days Shift : 10:00AM to 6:00PM IST Opportunity Type: Hybrid (Ahmedabad) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : LLMs, Generative AI, Natural Language Processing (NLP), AI, Python, MLOps, TensorFlow, Scalable Architecture Good to have skills : Multi-Agent Systems, Federated learning, Reinforcement Learning, AI automation Inferenz (One of Uplers' Clients) is Looking for: Lead AI Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Position: Lead AI Engineer Location: Ahmedabad, Pune Required Experience: 8+ Years Preferred Immediate Joiner We are seeking an experienced Lead AI Engineer to spearhead AI initiatives, drive innovation, and architect scalable AI/ML solutions. This role involves leading AI-driven projects, mentoring teams, and integrating AI solutions into enterprise applications. Key Responsibilities: Architect and develop enterprise-scale AI/ML solutions, including Generative AI and LLMs. Lead research and implementation of cutting-edge AI methodologies. Collaborate with business stakeholders to define AI strategy and align it with business goals. Optimize model performance and scalability for production deployment. Establish best practices for AI development, including MLOps and model monitoring. Drive innovation by exploring new AI techniques and frameworks. Manage and mentor a team of AI engineers, fostering a culture of continuous learning. Present insights, research findings, and AI-driven solutions to leadership teams. Required Skills & Qualifications: Masters or Ph.D. in Computer Science, AI, Machine Learning, or a related discipline. 8+ years of experience in AI, ML, and deep learning, with a track record of successful AI deployments. Strong expertise in LLMs, Generative AI, NLP, and multimodal AI. Proficiency in Python, R, Java, and AI/ML frameworks like TensorFlow, PyTorch, or Hugging Face. Extensive experience with cloud-based AI solutions, MLOps, and scalable architectures. Ability to lead AI-driven initiatives and collaborate with cross-functional teams. Strong leadership skills to manage, mentor, and guide engineering teams. Excellent communication and stakeholder management abilities. Preferred Skills: Experience in multi-agent systems, federated learning, and AI ethics. Understanding of computer vision, reinforcement learning, and AI automation. Contributions to AI research, patents, or high-impact publications. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: At Inferenz, our team of innovative technologists and domain experts help accelerating the business growth through digital enablement and navigating the industries with data, cloud and AI services and solutions. We dedicate our resources to increase efficiency and gain a greater competitive advantage by leveraging various next generation technologies. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Description: GenAI Developer (LangChain, LangGraph, VectorDB, LLMs, MCP, Embedding, RAG) Position Overview: We are looking for an experienced and motivated GenAI Developer to join our team in building cutting-edge applications powered by GenAI technologies. As a GenAI Developer, you will work with LangChain, LangGraph, Vector Databases, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) to create intelligent, scalable, and efficient AI-driven applications. You will play a key role in integrating these advanced technologies into real-world use cases, including text generation, knowledge retrieval, and recommendation systems. Key Responsibilities: LangChain Development: Develop GenAI applications using LangChain, including building chains, agents, and integrations for a variety of use cases. LangGraph Development: Utilize LangGraph for building workflow agents, controlling states, and developing intelligent decision-making systems. Vector Database Integration: Design, implement, and maintain vector database solutions (e.g., Qdrant, Pinecone, FAISS) for efficient storage and retrieval of embeddings. LLM Integration: Leverage LLMs to generate high-quality outputs for various use cases, such as conversational agents, document summarization, or content generation. Embedding Building: Develop embeddings for text, images, and other media to integrate into retrieval systems and enhance search relevance and accuracy. RAG Implementation: Design and implement RAG workflows to improve accuracy and context in AI applications by combining real-time retrieval with language model generation. MCP Integration: Work with the Microsoft Cognitive Platform (MCP) for AI and cognitive services, integrating them with LangChain and LangGraph for enhanced capabilities. Optimization & Fine-Tuning: Continuously optimize AI models, embeddings, and retrievers for performance and efficiency. Collaboration & Problem-Solving: Work closely with product managers, data scientists, and other engineers to understand business needs and deliver AI-driven solutions. Required Skills & Qualifications: Technical Skills: LangChain : Hands-on experience with LangChain for developing intelligent workflows, managing chains, and leveraging its powerful capabilities for building GenAI applications. LangGraph : Proficiency in LangGraph for designing advanced workflows and agents with state management, decision-making, and loops. Vector Databases (e.g., Qdrant, Pinecone, FAISS) : Experience working with vector databases to manage and search embeddings, and optimize large-scale retrieval tasks. Large Language Models (LLMs) : In-depth understanding of LLMs, such as GPT, BERT, and other transformer-based architectures, and how to integrate them into GenAI applications. Embedding Creation and Integration : Expertise in building embeddings using models like sentence-BERT, OpenAI embeddings, or custom models for a variety of data types (text, images, etc.). Retrieval-Augmented Generation (RAG) : Proven experience in designing and implementing RAG systems that combine real-time retrieval with language model generation. Microsoft Cognitive Platform (MCP) : Familiarity with integrating Microsoft Cognitive Services, such as Azure Cognitive Search, Azure OpenAI, or other Microsoft AI tools, into GenAI applications. Model Context Protocol (MCP) - Building or exposing Resources , Prompts , tools to LLM based AI Agents . Natural Language Processing (NLP) : Strong understanding of NLP techniques, including text classification, entity recognition, sentiment analysis, and text summarization. AI Model Optimization : Experience in model fine-tuning, prompt engineering, and optimizing LLMs for specific tasks. APIs & Microservices : Familiarity with designing and consuming RESTful APIs, and microservice architecture for scalable AI solutions. Additional Skills: Cloud Platforms (Azure, AWS, GCP) : Experience deploying GenAI applications on cloud platforms such as Azure, AWS, or Google Cloud, with an emphasis on cloud-based AI solutions. Machine Learning Frameworks : Knowledge of popular ML frameworks, such as TensorFlow, PyTorch, or Hugging Face, and how to use them for model training and inference. Data Engineering : Strong skills in handling large datasets, including data preprocessing, data cleaning, and data augmentation, to support AI model training. Version Control : Proficiency with Git and GitHub for version control, collaborative development, and code review processes. Problem-Solving & Analytical Thinking : Excellent problem-solving skills with a strong analytical mindset to break down complex AI challenges into manageable components. Collaboration & Communication : Strong teamwork and communication skills to effectively collaborate with cross-functional teams and deliver high-impact solutions. Preferred Qualifications: Advanced Degree : A degree in Computer Science, Data Science, AI, or a related field. GenAI Application Development : Experience in building AI-driven applications or platforms with a focus on generative models, search systems, and conversational AI. Familiarity with LlamaIndex, FAISS, or Similar Tools : Knowledge of popular vector search tools and libraries beyond LangChain and LangGraph is a plus.

Job Overview: As an Emerging Technology Architect with 15+ years of experience in identifying, evaluating, and integrating cutting-edge technologies into the organization's ecosystem and future projects, ensuring that the organization stays ahead of industry trends and maintains a competitive edge. Must have proven experience in Pre-sales and Principal Architect / Lead Solution Architect Role in Emerging technology like AI/ML, Blockchain, etc. Responsibilities: Technology Evaluation and Adoption: The Emerging Technology Architect is responsible for leading the strategic design, implementation, and governance of next-generation technology solutions across AI/ML, cloud, blockchain, big data, security, and automation. This role requires deep expertise in cutting-edge technologies, industry best practices, and innovative approaches to drive business transformation. Identify emerging technologies like Gen AI, DeFi, LC-NC, AI-ML, Data Engineering etc and assess their potential impact on the organization. Conduct thorough research and feasibility studies to evaluate new technologies. Develop technology roadmaps and adoption strategies aligned with business objectives. RFP/RFI/RFQ response for Architectural Design: Lead the end-to-end process of responding to RFPs, RFIs, and RFQs, ensuring timely and high-quality submissions. Analyze and understand client requirements, and collaborate to gather relevant information. Lead architectural discussions and solution workshops for design exercises to create E2E solutions and mapping requirements to solution/service catalogues. Must be able to lead client discussions, workshops, support presales solutions and deliver on short-term discovery, architecture assessments. Drive architectural change management and oversee the design, implementation, or delivery of processes, programs, and policies using specialized knowledge and skills. Participate in the Architecture Review process. Actively listens and respectfully challenges customers/partners when going in the wrong direction, presents insights and alternatives, and takes action appropriately. Lead the design of innovative, scalable, and secure solutions using emerging technologies. Develop architectural blueprints and maintain documentation to ensure consistency with best practices. Collaborate with cross-functional teams to integrate new technologies into existing systems. Design and implement AI/ML solutions, including NLP, LLMs, computer vision, and generative AI to enhance business intelligence and automation. Stay ahead of industry trends, contribute to whitepapers, and represent the organisation in technology forums and conferences. Develop and articulate technical solutions, architecture, and strategies to address client needs as outlined in the RFP/RFI/RFQ. Collaborate with various teams (technical, sales, legal, etc.) to create comprehensive and persuasive proposals. Qualifications: B.E. / B. Tech / M. Tech / MCA Renowned Certification in AI/ML , BlockChain 15 + years of experience in IT related projects 10+ years of experience in IT projects for Govt. clients Experience in IT projects in Finance sector At least 5 years or more working as AI/ML Architect Architect in large scale IT projects (More than 100 Cr.) Strong understanding of cloud-based technologies and architecture patterns (AWS, Azure, GCP etc.) Knowledge of emerging technologies like Generative AI, Blockchain technologies, Low- Code/No-Code platforms, etc 10+ years of experience in IT projects for Govt. clients

Full-Stack Founding Engineer (Python/Django) Experience: 6 - 8 Years Exp Salary : USD 1,481-2,222 / month Preferred Notice Period : Within 30 Days Shift : 12:00PM to 9:00PM IST Opportunity Type: Remote Placement Type: Contractual Contract Duration: Full-Time, 12 Months (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : GIS, Postgres SQL, Django, Next Js, Python Good to have skills : AI, Cloud Hosting, LLMs Settle Savvy (One of Uplers' Clients) is Looking for: Co- Founder/Founding Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Role: Co- Founder/Founding Engineer (Remote) Required Experience: 6 - 8 Years About Settle Savvy Settle Savvy is revolutionizing the US residential real estate industry by empowering home buyers with relevant, granular, neighborhood data. We are an early-stage startup with a few pilot clients and a working prototype, and were now building a production-ready app to bring our vision to life. Our culture is innovative, lean, and nimble, with a strong focus on maximizing value by leveraging the latest advancements in AI. Were looking for a talented and driven early career Software Architect to join us as the third member of our team. This is a senior role with significant responsibility, equity, and the opportunity to shape the future of our product and company. Job Responsibilities: As the Product Architect, you will take on a leadership role in designing, building, and scaling our technology stack. This is not just a development roleits an opportunity to define the technical foundation of our product and ensure its long-term success. Your responsibilities will include: Architecture Work closely with the founders, especially the lead data scientist/product manager, to align product goals, functionality, and features. Design and implement a modular, scalable, and maintainable architecture with clear separation of concerns. Make key decisions about code modularization, system integration, and long-term scalability. Development Overhaul and build upon our existing prototype to deliver a production-ready application. Set up and manage CI/CD pipelines to streamline development and deployment. Establish a robust hosting solution, ensuring scalability, security, and performance. Leverage AI tools (e.g., Cursor) to enhance development efficiency and product capabilities. Stay ahead of emerging technologies to ensure efficiency remains cutting-edge. Requirement: Were seeking a candidate who is ready to step into a higher-order role as a Software Architect, with a strong foundation in development and a vision for designing scalable systems. The ideal candidate will have: Hungry: All in. Break barriers, deliver results, and drive champion level successfor yourself and the team. Technical Expertise: Proficiency in Python (Django), Next JS, Postgres SQL and GIS. Strong understanding of system design principles, including modularization, separation of concerns, and scalability. Experience with CI/CD pipelines, containerization (e.g., Docker), cloud hosting platforms, and deploying production-ready web applications. Architectural Vision: Proven ability to design and implement scalable, maintainable, and secure architectures from the first line of code to a hosted production application. Collaboration and Communication: Ability to communicate efficiently, work independently, take ownership of tasks, and make decisions. AI Enthusiasm: Keeping up with and ready to lead the AI revolution, understands the importance of leveraging LLMs to improve development efficiency and product capabilities. What Client Offers: Equity: equity to be awarded upon successful completion of key milestones Remote Work: Work from anywhere in India, as long as you have a stable internet connection and a productive work environment. Growth Opportunity: Be part of a small, fast-growing team where your contributions will have a clear and direct impact on our collective success. What Success Looks Like: In your first 6 months, success will mean: Delivering a production-ready app. Setting up robust development pipelines and hosting infrastructure. Making sound architectural decisions that position the company for long-term success. Demonstrating ownership, independence, and the ability to collaborate effectively. Hiring Process: 1.Initial Screening: A conversation to align on goals, expectations, and fit. 2.Technical Assessment: An architecture-focused test to evaluate your ability to design scalable systems. 3.Alignment Interviews: Discussions to ensure cultural fit and alignment with the companys vision. 4.Offer: We aim to make a decision quickly and have you start as soon as possible. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Settle Savvy is revolutionizing the US residential real estate industry by empowering home buyers with relevant, granular, neighborhood data. We are an early-stage startup with a few pilot clients and a working prototype, and were now building a production-ready app to bring our vision to life. Our culture is innovative, lean, and nimble, with a strong focus on maximizing value by leveraging the latest advancements in AI. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

We are seeking an experienced professional in AI and machine learning with a strong focus on large language models (LLMs) for a 9-month project. The role involves hands-on expertise in developing and deploying agentic systems and working with transformer architectures, fine-tuning, prompt engineering, and task adaptation. Responsibilities include leveraging reinforcement learning or similar methods for goal-oriented autonomous systems, deploying models using MLOps practices, and managing large datasets in production environments. The ideal candidate should excel in Python, ML libraries (Hugging Face Transformers, TensorFlow, PyTorch), data engineering principles, and cloud platforms (AWS, GCP, Azure). Strong analytical and communication skills are essential to solve complex challenges and articulate insights to stakeholders.