76 Llms Jobs - Page 3

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.

We seek a Quantitative Analyst to develop algorithmic trading strategies, focusing on options pricing, portfolio optimization, and trading infrastructure, with expertise in Python, machine learning, and finance. Required Candidate profile The ideal candidate has expertise in quantitative finance, Python, machine learning, options pricing, and trading infrastructure, with experience in equity and options markets.

Python LLM Engineer (WFH) Experience: 3 - 5 Years Salary: INR 20,00,000-35,00,000 / year Preferred Notice Period : Within 15 days Shift : 10:30 AM to 7:30 PM IST Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients.) Must have skills required : API, Communication, LangChain, LLMs, Pinecone/ Weaviate/ FAISS/ ChromaDB, rag, AWS, Python Good to have skills : CI/CD, multimodal AI, Prompt engineering, Reinforcement Learning, Voice AI Platformance (One of Uplers' Clients) is Looking for: Python LLM 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 We are seeking a highly skilled Python LLM Engineer to join our AI team. The ideal candidate should have deep expertise in large language models (LLMs), experience in building Retrieval-Augmented Generation (RAG) systems, and a strong background in AI-driven applications. This role requires hands-on experience with LangChain, multimodal AI, vector databases, agentic AI, and cloud-based AI infrastructure, particularly AWS and AWS Bedrock. Python will be the primary development language for this role. Key Responsibilities: Design, develop, and optimize applications leveraging LLMs using LangChain and other frameworks. Build and fine-tune Retrieval-Augmented Generation (RAG) based AI systems for efficient information retrieval. Implement and integrate major LLM APIs such as OpenAI, Anthropic, Google Gemini, and Mistral. Develop and optimize AI-driven voice applications and conversational agents using Python. Research and apply the latest advancements in AI, multimodal models, and vector databases. Architect and deploy scalable AI applications using AWS services, including AWS Bedrock. Design and implement vector search solutions using Pinecone, Weaviate, FAISS, or similar technologies. Develop agentic AI products that leverage autonomous decision-making and multi-agent coordination. Write efficient and scalable backend services in Python for AI-powered applications. Develop and optimize AI model fine-tuning and inference pipelines in Python. Implement end-to-end MLOps pipelines for model training, deployment, and monitoring using Python-based tools. Optimize LLM inference for performance and cost efficiency using Python frameworks. Ensure the security, scalability, and reliability of AI systems deployed in cloud environments. Required Skills and Experience: Strong experience with Large Language Models (LLMs) and their APIs (OpenAI, Anthropic, Cohere, Google Gemini, Mistral, etc.). Proficiency in LangChain and experience in developing modular AI pipelines. Deep knowledge of Retrieval-Augmented Generation (RAG) and its implementation. Experience with voice AI technologies, ASR (Automatic Speech Recognition), and TTS (Text-to-Speech), using Python-based frameworks. Familiarity with multimodal AI models (text, image, audio, and video processing) and Python libraries such as OpenCV, PIL, and SpeechRecognition. Hands-on experience with vector databases (Pinecone, Weaviate, FAISS, ChromaDB, etc.). Strong background in developing agentic AI products and autonomous AI workflows. Expertise in Python for AI/ML development, including libraries like TensorFlow, PyTorch, Hugging Face, FastAPI, and LangChain. Experience with AWS cloud services, including AWS Bedrock, Lambda, S3, and API Gateway, with Python-based implementations. Strong understanding of AI infrastructure, model deployment, and cloud scalability. Preferred Qualifications: Experience in reinforcement learning and self-improving AI agents. Exposure to prompt engineering, chain-of-thought prompting, and function calling. Prior experience in building production-grade AI applications in enterprise environments. Familiarity with CI/CD pipelines for AI model deployment and monitoring, using Python-based tools such as DVC, MLflow, and Airflow. Why Join Us? Work with cutting-edge AI technologies and build next-gen AI products. Be part of a highly technical and innovative AI-driven team. Competitive salary, stock options, and benefits. Opportunity to shape the future of AI-driven applications and agentic AI systems. Engagement Type: Direct-hire on the TBD payroll on behalf of platformance Job Type: Permanent Location: Remote Working time: 10:30 AM to 7:30 PM IST Interview Process - The HR team will conduct an initial culture fit assessment before technical rounds. Initial Technical Discussion: Live discussion to assess core competencies. Technical Assignment: Candidates will be given 4 days to complete a hands-on coding test. Final Interview (Optional): Review of the coding test and further technical discussion if required. How to Apply? Easy 3-Step Process: Step 1: Click On Apply! And Register or Login on our portal Step 2: Upload updated Resume & Complete the Screening Form Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Platformance is a Growth Technology Platform that helps brands connect with customers using a pay-per-outcome model. Platformance is a growth technology platform built to help advertisers achieve measurable business outcomes, not just marketing results. Our mission is to simplify the complexities of digital advertising while ensuring every campaign delivers tangible results. About Uplers: Our goal is to make hiring 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!

knowledge of Python. Utilize Flask or Django for building web applications and RESTful APIs. Knowledge of web scraping libraries like BeautifulSoup or Scrapy. Implement and experiment with Lang Chain for building conversational AI systems.

Overview We are seeking Kotlin/Java developers to join our team, working with a leading FinTech client to develop innovative AI solutions. Our client is building a GenAI Developer Assistantan end-to-end GenAI-driven SDLC assistant framework. This platform leverages advanced GenAI technologies to accelerate product development and deployment, fostering innovation and delivering services to customers swiftly. Responsibilities Roles & Responsibilities: Develop and optimize backend systems and services using Kotlin and Java, ensuring seamless integration within the AI-driven SDLC framework. Design and implement scalable and efficient solutions for IntelliJ IDE plugin development, enhancing developer productivity and experience. Integrate and test AI-driven features, leveraging tools like OpenAI and Gemini, to enable intelligent code suggestions and automation within IDEs. Maintain and enhance system performance, debug complex issues, and ensure code quality through rigorous testing and best practices. Requirements Tools and Technologies: Must-Have: Proficiency in Java and/or Kotlin for backend and application development. Expertise in using IntelliJ as the primary IDE. Knowledge of other IDEs such as VS Code and PyCharm is an added advantage. Strong knowledge of RESTful APIs and microservices architecture. Experience with version control systems like Git. Understanding of database systems (SQL/NoSQL). Good-to-Have: Familiarity with AI workflows or implementing AI-driven features using tools like OpenAI, Gemini, etc. Basic understanding of LLMs (Large Language Models) and their integration in backend systems. Knowledge of testing frameworks like JUnit or Mockito. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Exposure to messaging queues like RabbitMQ or Kafka.

JD: Machine Learning Engineer for Bangalore location: Role Overview We are seeking a skilled and innovative Machine Learning Engineer with expertise in Large Language Models (LLMs) to join our team. The ideal candidate should have hands-on experience developing, fine-tuning, and deploying LLMs, alongside a deep understanding of the machine learning lifecycle. Candidate must have basic knowledge of JAVA to read the codes. This role involves building scalable AI solutions, collaborating with cross-functional teams, and contributing to cutting-edge AI initiatives. Key Responsibilities Model Development & Optimization: - Develop, fine-tune, and deploy LLMs like OpenAI's, GPT, Anthropic's Claude, Googles Gemini, or AWS Bedrock. - Customize pre-trained models for specific use cases, ensuring high performance and scalability. Machine Learning Pipeline Design: - Build and maintain end-to-end ML pipelines, from data preprocessing to model deployment. - Optimize training workflows for efficiency and accuracy. Integration & Deployment: - Work closely with software engineering teams to integrate ML solutions into production environments. - Ensure APIs and solutions are scalable and robust. Experimentation & Research: - Experiment with new architectures, frameworks, and approaches to improve model performance. - Stay updated with advancements in LLMs and generative AI technologies. Collaboration: - Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to align ML solutions with business goals. - Provide mentorship to junior team members as needed. Required Qualifications Experience: At least 5 years of professional experience in machine learning or AI development. Proven experience with LLMs and generative AI technologies. Technical Skills: Proficiency in Python (required) and/or Java (bonus). Hands-on experience with APIs and tools like OpenAI, Anthropic's Claude, Google Gemini, or AWS Bedrock. Familiarity with ML frameworks such as TensorFlow, PyTorch, or Hugging Face. Strong understanding of data structures, algorithms, and distributed systems. Cloud Expertise: Experience with AWS, GCP, or Azure, including services relevant to ML workloads (e.g., AWS SageMaker, Bedrock). Data Engineering: Proficiency in handling large-scale datasets and implementing data pipelines. Experience with ETL tools and platforms for efficient data preprocessing. Problem Solving: Strong analytical and problem-solving skills, with the ability to debug and resolve issues quickly. Preferred Qualifications Experience with multi-modal models and generative AI for images, text, or other modalities. Understanding of ML Ops principles and tools (e.g. MLflow, Kubeflow). Familiarity with reinforcement learning and its applications in AI. Knowledge of distributed training techniques and tools like Horovod or Ray. Advanced degree (Masters or Ph.D.) in Computer Science, Machine Learning, or a related field. Most important points: Must be OK for independent contributor role Thorough expertise in LLMs Able to join within 15 days It is a complete work from office role (Whitefield, Bangalore) Interview process: Total 3 rounds of interview: Round 1: Technical round on call Round 2: Technical round + Coding test on video call Round 3: Managerial + HR round

Job Description: Data Science Trainer We're seeking a committed Technical Data Science Trainer to join us in delivering the next generation of AI technical training. This is not just a job - it's an opportunity to play a key role in empowering the next generation of AI/ML professionals, influencing their careers and contributing to the growing AI ecosystem. The role also helps get recognized as a leader in the AI training space while expanding your personal and professional brand This role is ideal for someone passionate about both teaching and technology, capable of helping learners become skilled professionals in AI and related fields. Skills: AI, Machine Learning, Python, Numpy, Pandas, R Programming, Statistics, Computer Vision, Natural Language Processing, LLMs, Tableau, Power BI Essential Qualifications: B.Tech., M.Tech., MCA or equivalent experience 3 - 4 years' of experience Expertise Required: Technical Expertise: Proficient in AI, ML, Deep Learning, LLMs, Computer Vision, and Python. Tools and Frameworks: Hands-on experience with TensorFlow, PyTorch, Scikit-learn, OpenCV, Hugging Face, NumPy, Pandas, Matplotlib, Seaborn, and R Programming. Communication: Strong ability to explain technical concepts in simple terms and provide clear instructions. Problem-Solving: Ability to debug code, identify errors, and explain solutions effectively. Key Responsibilities: Training Delivery: Design and deliver training programs and workshops for individuals and teams on AI, ML, Deep Learning, LLMs, Computer Vision, and Python programming. Adapt training methods to suit varying levels of expertise, from beginner to advanced learners. Curriculum Development: Develop structured, up-to-date course materials, including slide decks, coding exercises, case studies, and hands-on projects. Incorporate real-world applications and industry best practices into the curriculum for a practical learning experience. Regularly update course content to align with advancements in technology and industry trends. Hands-On Learning: Guide learners through practical exercises, coding labs, and project-based learning to ensure hands-on experience with tools, frameworks, and algorithms. Provide training on key frameworks and tools such as TensorFlow, PyTorch, OpenCV, Hugging Face, Scikit-learn, and Pandas. Mentorship and Support: Offer one-on-one mentorship to learners, addressing individual doubts and helping them troubleshoot complex problems. Monitor learners progress, provide constructive feedback, and suggest improvement strategies. Assessment and Evaluation: Develop and administer assessments to evaluate learners understanding and skill levels. Analyze test results and provide detailed performance feedback. Domain-Specific Expertise: Explain and demonstrate key AI/ML concepts, such as supervised and unsupervised learning, reinforcement learning, natural language processing (NLP), and computer vision techniques. Guide learners in working with large language models (LLMs) like GPT and BERT, focusing on fine-tuning and deployment. Train learners on deep learning topics, including neural networks, CNNs, RNNs, and transformers. Stay Updated on Trends: Continuously research advancements in AI, ML, Deep Learning, and Python, incorporating cutting-edge techniques into the training materials. Maintain familiarity with emerging technologies like generative AI and explainable AI. Soft Skills and Collaboration: Communicate complex concepts clearly to learners from diverse technical and non-technical backgrounds. Foster an engaging and interactive learning environment, encouraging collaboration among participants. What We Offer Be part of cutting-edge AI projects and work on real-world applications of Machine Learning, Deep Learning, Large Language Models (LLMs), and Computer Vision. Opportunity to stay ahead in the AI revolution by working with the latest tools and technologies like TensorFlow, PyTorch, OpenCV, and Hugging Face. Access to continuous learning resources and mentorship programs to sharpen your expertise and stay updated with emerging trends. Build leadership and communication skills by mentoring learners and engaging with professionals across various industries. Connect with industry experts, aspiring AI professionals, and innovators, giving you a strong professional network. Grow with the company! Be part of our exciting journey as we expand and make an impact in the AI training industry. Enjoy early access to leadership opportunities and the chance to shape the companys future direction. Our Culture & Values Startup Culture - Fast-Paced, Collaborative, and Innovative A place for growth. We believe in nurturing talent and giving everyone the chance to grow professionally and personally We work as a team, supporting and learning from each other. Every voice matters here We trust our team to take ownership of their work and make meaningful contributions. Dynamic startup energy Collaborative leadership Continuous learning

Skills required: Large Language Models (LLMs) Vector Databases Semantic Kernel Azure AI Search Agentic Frameworks SWARM Architecture Prompt Engineering Techniques such as Chain of Thoughts, Graph of Thoughts, and Self Asks

Position Overview: As an AI Engineer, you will be responsible for designing, developing, and implementing cutting edge artificial intelligence solutions to address complex problems for banking domain. You will collaborate with cross-functional teams to understand business requirements and leverage AI technologies to create innovative solutions. Job Description: Design and implement generative AI models, including GANs, VAEs, and transformers, as well as large language models such as GPT, BERT, LLAMA and similar to create high-quality synthetic data and other outputs. Use cutting edge technologies to create a faster, more capable AI. Preprocess and analyse large datasets to train and validate AI and LLM models. Analyse statistics, data, and algorithms for projection accuracy. Use AI analysis to make strategy recommendations that align with company goals. Work with a team of machine-learning and data engineers to ensure seamless AI development and integration. Collaborate with software engineers to integrate AI models into production systems, ensuring scalability, reliability, and performance. Stay current on AI knowledge, trends, regulations and proactively apply them to enhance existing solutions. Collect, organize, and present progress with team leadership and stakeholders. Maintain thorough documentation of models, experiments, and methodologies. Qualifications: Proven experience in developing and deploying machine learning models in real-world applications. Proficiency in programming languages such as Python, Java, or C++, with experience in libraries and frameworks for AI development. Strong understanding of machine learning algorithms, deep learning architectures, and optimization techniques. Hands on experience with GANs, VAEs, transformers and LLMs such as GPT, BERT, LLAMA and similar with experience on TensorFlow, PyTorch, Keras, or Apache MXNet. Familiarity with natural language processing libraries such as NLTK, spaCy, or Transformers. Experience in computer vision tasks using frameworks like OpenCV, TensorFlow Object Detection API, or PyTorch Vision. Familiarity with cloud platforms like AWS, GCP, or Azure. Excellent problem-solving skills and the ability to work effectively in a fast paced, collaborative environment. Effective communication skills with the ability to convey complex technical concepts to nontechnical stakeholders. Demonstrated ability to manage multiple projects simultaneously and deliver highquality results on time.

ML Engineer job profile Machine Learning is a field of artificial intelligence that focuses on developing systems that can learn and improve from experience. Machine Learning Engineers work on creating and implementing AI models and algorithms to solve complex problems. This role often involves working with large datasets, developing algorithms, and deploying models into production environments. ML Engineer job description We are seeking an enthusiastic and motivated Machine Learning Engineer with 1-3 years of experience to join our team. As a Machine Learning Engineer, you will be responsible for designing, building, and maintaining machine learning models with a focus on Generative AI, Large Language Models (LLMs), and Natural Language Processing (NLP). You will use your skills and knowledge to tackle real-world challenges and contribute to the advancement of AI technology. ML Engineer duties and responsibilities Design, develop, and implement efficient and scalable machine learning models and algorithms Work closely with software engineers to integrate ML models into production systems Implement and optimize NLP algorithms and pipelines Optimize and fine-tune existing models for improved performance Contribute to the research and implementation of state-of-the-art GenAI techniques Participate in the full machine learning lifecycle, from data preparation to model deployment Collaborate with cross-functional teams to identify and solve complex business problems using AI Stay up-to-date with the latest advancements in ML, especially in GenAI, LLMs, and NLP Document your work, including model architectures, experiments, and results Must have skills C++ Programming: Proficiency in writing efficient, modular, and maintainable C++ code, including knowledge of advanced features such as templates, STL, and memory management, and implementation of data structures, algorithms, object-oriented programming principles, and design Visual Studio: Experience using Visual Studio IDE for C++ development, including project management, debugging, and performance profiling. VC++ : Background in Visual C++, including building applications for Windows platforms, integrating with Windows APIs, etc Database Management: Experience working with relational databases (e.g., SQL Server, MySQL) and proficiency in writing efficient SQL queries, database design, and optimization. Good to have skills File System Knowledge: Understanding of different file systems such as FAT (File Allocation Table), APFS (Apple File System), and NTFS (New Technology File System), and their structures, features, and limitations. Low-Level APIs: Familiarity with low-level APIs for system-level programming, including filesystem APIs, device drivers, and system calls. Understanding of memory management, I/O operations, and concurrency control at a low level.

We are seeking a highly skilled and hands-on Cloud DevOps Engineer to join our dynamic team. The ideal candidate will have extensive experience in managing and optimizing cloud infrastructure on AWS and GCP, with a strong focus on automation and integration/continuous deployment (CI/CD) practices. Key Responsibilities: AI & NLP Experience: Experience working with LLMs (GPT, Claude, Gemini) for reasoning & information retrieval (RAG experience required) Experience with speech-to-text (Deepgram, Open AI Whisper, or similar). Experience with text-to-speech (Azure Speech, Eleven Labs, or similar) Software Development: Strong experience with Python (a sync programming, API integrations). Experience working with Vocode or similar AI voice frameworks. Knowledge of database design (PostgreSQL, MySQL, SQL Server, or NoSQL) to store claim data. API development experience Cloud & DevOps: Experience with AWS / GCP / Azure for hosting and API integrations. Troubleshooting skills for AWS services and GitLab pipelines. Qualifications: Minimum 3+ years of experience as a DevOps Engineer or similar software engineering role. Bachelors degree in Computer Science, Engineering, or a related field Working knowledge of Python, databases and SQL Experience in developing/engineering applications Strong problem-solving skills, excellent communication, and the ability to work collaboratively in a team environment.

Role & Responsibility: Partner with Product Managers, Engineers, and other key stakeholder to deeply understand business requirements and translate them into actionable technical roadmaps. Identify and prioritize AI use cases aligned with organizational goals, develop a scalable and sustainable implementation roadmap, and conduct ROI analysis for on-prem LLM deployments. Create sophisticated software designs driven by AI-powered experiences, performance, scalability, security, reliability, and ease of maintenance. Define and develop complex enterprise applications through AI Agentic frameworks encompassing of responsiveness, responsibility, traceability, and reasoning. Leverage modeling techniques like UML and Domain-Driven Design to visualize intricate relationships between components and ensure seamless integrations. Lead large-scale platform projects delivering No-code workflow management, HRMS, Collaboration, Search engine, Document Management and a host of services for our employees. Champion automated testing, continuous integration/delivery pipelines, MLOps and agile methodologies across multiple teams. Spearhead efforts to integrate artificial intelligence capabilities with other internal/external ecosystems to deliver seamless user experience. Skillset Required: Mandatory BTech/MTech/PhD in Computer sciences with specialization in AI/ML . Proven track record of leading large-scale digital transformation projects. An accomplished leader with a minimum of 3 -8 years of experience in software design & development. AI expert with at least 3+ years of extensive hands-on experience in building AI based applications including the latest Agentic frameworks . Working experience in leveraging RAG (Retrieval Augmented Generation), vector databases and other technologies to enhance effectiveness and relevance of the AI models. Hands-on experience in developing AI Agents based on heterogenous frameworks such as LangGraph, AutoGen, Crew AI and others. Select and fine-tune LLMs for enterprise needs, design efficient inference pipelines for system integration. Expertise in navigating through the Natural Language Understanding and developing conversational experiences. Good to Have Experience designing and developing applications and workflows using ACE framework (Autonomous Cognitive Entity) . Expertise in Python programming and developing agents/tools in an AI Agentic framework. Demonstrated experience in building data pipelines including data quality for structured and unstructured data. Ability to quickly learn and adapt to the changing technology landscape. Past expertise in .NET Core ecosystem (including ASP.NET Core, Entity Framework Core) combined with strong front-end featuring Angular/React/Javascript/Html/Css is a big plus! Hands-on experience managing full-stack web applications built upon Graph/RESTful APIs/microservice-oriented architectures hosted either natively or in containers familiarity navigating large scale data ecosystems. Skilled in efficient platform telemetry capture, ingestion, and intelligence derivation. Track record demonstrating ability to mentor peers effectively whilst maintaining exceptional attention to detail during every phase of SDLC including ideation, design, development, deployment and operational excellence. Excellent verbal/written communication abilities paired perfectly with outstanding presentation / public speaking talents.

Role & responsibilities As a Data Scientist specializing in Generative AI and NLP , you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. Key Responsibilities : Generative AI & NLP Development : Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. Model Customization & Fine-Tuning : Apply state-of-the-art techniques like LoRA , PEFT , and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact. Innovative Problem Solving : Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results. Data-Driven Insights : Conduct deep analysis of large datasets, uncovering insights and trends that guide decision-making, improve operational efficiencies, and fuel innovation. Cross-Functional Collaboration : Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications. Client Engagement : Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation.

Our engineering team is seeking a skilled Python developer to assist in constructing a robust, expandable back-end infrastructure for our product. Your primary duties in this position will involve creating and assessing scalable code, developing essential back-end elements, and integrating REST API. A strong candidate for this role should possess comprehensive knowledge of object-relational mapping, have experience with server-side logic, and possess above-average proficiency in Python programming. Responsibilities Coordinating with development teams to determine application requirements. Writing scalable code using Python programming language. Testing and debugging applications. Developing back-end components. Implementing REST APIs. Integrating data storage solutions. Integrating with many AI models and LLMs. Assess and prioritize feature requests Coordinate with internal teams to understand user requirements and provide technical solutions Requirements 3 - 5 years of experience as a Python developer. Strong in design patterns, back-end implementation and REST API. Knowledge of object-relational mapping (ORM) Team spirit Good problem-solving skills Ability to collaborate on projects and work independently when required Must have worked in anyone AI use cases in real time Good communication skills with proven fluency in English Desired Candidate Profile Experience: 3 - 5 years Location: Bangalore Qualification: Any Degree Job Type: Full Time, Permanent Schedule: Day Shift, Monday to Friday Workplace Type: On-site (Work from Office) Notice Period: Immediate

• Own the end-to-end lifecycle of GenAI products, from MVP to Solution • 7 + yrs exp in Project Management • Exp in AI/ML, SaaS, or cloud-based products. • Strong understanding of Generative AI & AI automation • PMP, PRINCE2 or equal Certification