1069 Llm Jobs - Page 42

Role & responsibilities We are seeking a highly skilled Lead Python Developer with extensive experience in FastAPI and microservices architecture to join our dynamic team. The ideal candidate will have a strong technical background, proven leadership in technical teams, and expertise in building scalable, resilient, and secure applications. Preferred candidate profile Lead the design, development, and deployment of applications using microservice architecture. Develop and maintain FastAPI-based backend services with high performance and scalability. Implement best practices in logging, monitoring, health checks, scalability, resilience, service discovery, API gateways, and error handling. Ensure code quality, security, and performance optimization. Work with containerization technologies like Docker and Kubernetes for application deployment. Collaborate with cross-functional teams to define, design, and ship new features. Establish and manage CI/CD pipelines for seamless application deployment. Implement best practices for API design, development, and security. Set up and maintain monitoring and logging tools (e.g., Prometheus, Grafana). Ensure adherence to version control systems (e.g., Git) and collaborative workflows. Required Qualifications & Skills: Proven experience in leading technical teams and developing applications using microservice architecture. Strong proficiency in Python and FastAPI. Deep understanding of Pydantic for data validation in FastAPI. Experience with containerization (Docker, Kubernetes). Familiarity with CI/CD pipelines and automation tools. Knowledge of API design and implementation best practices. Experience working with monitoring and logging tools (e.g., Prometheus, Grafana). Strong understanding of security best practices in microservices-based applications. What do you get in return? Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table. Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career. Ide a Tanks: Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future Growt h Chats: Dive into our casual "Growth Chats" where you can learn from the best whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills. Snac k Zone: Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing Recognition & Rewards: We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program . Fuel Your Growth Journey with Certific a tions: Were all about your growth groove! Level up your skills with our support as we cover the cost of your certifi c ations.

Strong understanding of LLMs and natural language processing (NLP). Hands-on experience with prompt design for ChatGPT, ClaExcellent written communication and analytical skills.

Greetings from HTC Global Services!! Job Description: AI & ML Engineers Job Location: Chennai Job Type: Permanent/ Full Time Shift Timing: General shift/ UK Shift Notice Period: Immediate - 15 Days Skills Required: Position Description: JD: JD: • Building ML pipeline including model training, evaluation and deployment • Packaging the Model (Containerize), implementing serving solution and create APIs to expose models for external user • Feature engineering, ensuring data quality and building data pipelines Note: All these skills should be mentioned in the profiles, else profiles will not be considered. If you are interested, please share your updated CV along with the below details to mathankumar.m@HTCinc.com Full Name: Total Experience: Relevant Experience: Current CTC: Expected CTC: Official Notice Period: How soon you can join: Reason for Change: About US: HTC Global Services is a leading US based provider of IT solutions and IT enabled services for over two and half decades with headquarters in Troy, Michigan, USA. We are an Inc. 500 Hall of Fame company with 11,000+ employees. Our global presence includes USA, UK, Germany, Australia, Singapore, Malaysia, Indonesia, UAE, and India. Staffed by a team of highly qualified and experienced professionals, HTC offers business specific solutions in the following verticals - Automotive and Manufacturing, Healthcare, Insurance and Finance, Retail, Technology, Publishing, Government, Telecom, and Energy and Utilities. HTC is an ISO 9001, and ISO 27001 certified company with processes compliant to SEI CMM Level 5. Our recent acquisitions include CareTech Healthcare Solutions and Ciber Inc. Our offshore Delivery Centers include Chennai , Hyderabad and Bangalore. HTC is a certified Minority Business Enterprise recognized by the Michigan Business Development Council (MMBDC). Thanks, Mathan 9600011509

Roles and Responsibilities : Mine, process, and analyze hit/event level web, product, sales, and digital marketing data. Develop predictive scoring models and apply machine learning algorithms to customer profile, journey, and usage data. Deploy ML models into production data sets that can be leveraged for testing/activation on our websites, product applications, and sales/marketing channels. Develop ML model activation testing plans, benchmarking, and measure final outcomes. Enhance/Build data visualizations and reports in Tableau. Work with data engineers to improve and maintain the customer360 data model by defining new feature requirements, making improvements to taxonomy, and identifying bug fixes. Work with cross-functional teams (BI Enterprise Data Warehouse, Salesforce MOPS, IT, Product teams) to improve data quality in the customer360 data model. Develop a good understanding of the business's model, objectives, issues, and challenges by interacting and collaborating with leaders and stakeholders. Document all model methodology, outcomes, and activated performance. Desired Candidate Profile : Experience using Python, SciKit, SQL, Snowflake, hit-level Adobe Analytics data, product usage data, Jupyter Notebooks, Amazon SageMaker, Airflow, Github. Proficiency with data mining, mathematics, and statistical analysis techniques. Experience with predictive modeling techniques, unsupervised, supervised, reinforcement, causal inference machine learning techniques. Experience with the following ML steps: data prep, choosing model, feature creation and selection, training, evaluation, parameter tuning, making predictions. Experience with cookie-level advertising platform data (Google, Bing, Epsilon, LinkedIn, Facebook etc.) and measuring demand generation KPIs (ROAS, CTRs, Impressions, MTA Attribution). Experience with cookie-level web/product data and KPIs like usage, conversion funnels, bounce rates, unique visitors, sessions, hits/events, pathing and journey optimization. Experience with designing A/B/Multivariate/Lift testing and measurement for activated ML models in both digital and offline demand generation channels. Experience gathering and refining requirements from business stakeholders. Experience communicating ML methodology and findings to both technical and non-technical audiences. Preferred: previous experience in an engineering role building, testing, deploying, and measuring ML models using an ensemble approach. Perks and Benefits : 5 Days Working. Performance Linked Incentives. Scholar Policy.

Responsibilities: * Design generative AI solutions using LLM, Python, SQL & NLP techniques. * Collaborate with cross-functional teams on project delivery. * Implement RNN, LSTM, GRU models for text analysis.

Job Title: Machine Learning Engineer (Computer Vision + GenAI) Location: Bangalore, India (Hybrid) Company: Factspan Analytics Client Industry: Retail / E-commerce About the Role We are looking for a highly skilled Machine Learning Engineer with a strong foundation in Computer Vision , NLP , and GenAI to join our team at Factspan. You'll work closely with a leading retail client to address a critical business challenge: identifying and resolving duplicate product listings across Marketplace and traditional sellers using AI-driven solutions. This role is central to helping the client clean up and scale their product catalog across 30+ categories, each with 10,000+ images. You'll be expected to build and productionize models that can intelligently compare product images and text descriptions to detect duplicates and inconsistencies, leveraging both traditional ML and the latest GenAI techniques. Key Responsibilities Build and deploy scalable Computer Vision pipelines to identify near-duplicate product images across millions of listings. Use Natural Language Processing to match product descriptions and titles with associated images. Leverage LLMs and multimodal GenAI models (e.g., BLIP, CLIP, LLaVA, Gemini, GPT-4V) to solve alignment problems between images and text. Design and implement MLOps and LLMOps pipelines for deploying both traditional ML models and GenAI solutions in production. Perform large-scale image embedding generation , storage, and similarity search using tools like FAISS , Milvus , or pgvector . Use BigQuery and write optimized SQL queries for data preprocessing and analytics. Collaborate with product managers, data engineers, and cloud architects to scale the solution across new product categories. Required Skills 6+ years of hands-on experience in Machine Learning or Data Science roles. Deep expertise in Computer Vision (image deduplication, embedding models, similarity search). Strong understanding of NLP with experience aligning image and text modalities. Exposure to Generative AI/LLMs and how they can be used in multimodal tasks. Experience deploying ML/GenAI models using MLOps/LLMOps best practices (CI/CD, monitoring, versioning). Proficient in Python , TensorFlow/PyTorch , OpenCV , and transformers libraries (e.g., Hugging Face). Familiarity with GCP ecosystem especially BigQuery , Cloud Storage , Vertex AI , Cloud Functions . Strong SQL skills and understanding of data pipelines. Previous experience growing from a Data Scientist role is highly desirable. Good to Have Hands-on with Vector Databases like Milvus, Pinecone, or pgvector. Knowledge of retrieval-augmented generation (RAG) pipelines for GenAI solutions. Familiarity with tools like LangChain , Unstructured.io , or Haystack . Understanding of image compression, image hashing, and perceptual similarity techniques. Why Join Us Work on a high-impact retail AI problem at enterprise scale. Collaborate with a forward-thinking client open to innovation. Join a team where your work directly translates to business value. Flexible hybrid working model in Bangalore with a passionate AI team. Ready to create innovative solutions with computer vision, NLP, and GenAI in retail? Apply now by sending your resume and cover letter to sathishkumar.arumugam@factspan.com.

Sundew is a growing company with 18 years of expertise in Digital Transformation, excelling in Digital Strategy, Cloud-Native Application Development, AI, and Product Engineering. We are seeking a Agentic AI Developer to join our AI team in designing, developing, and deploying next-generation autonomous and agentic systems for our global clients. In this role, you will work at the intersection of artificial intelligence, software engineering, and cognitive architectures to build AI agents that can reason, plan, learn, and act with high levels of autonomy across dynamic environments. The ideal candidate brings deep experience in building agent-based systems, reinforcement learning, or multi-agent frameworks, along with a passion for pushing the boundaries of AI that can operate with initiative and self-direction. Key Responsibilities Develop agentic AI systems capable of autonomous decision-making, task decomposition, and adaptive behavior in real-world or simulated environments. Design and implement cognitive architectures, memory systems, and planning algorithms to enable goal-driven, self-reflective agents. Integrate large language models (LLMs), symbolic reasoning, and other AI components into cohesive agent frameworks. Collaborate with cross-functional teams (e.g., product, UX, robotics, cloud engineering) to deploy agents in production environments. Optimize performance of agentic systems for scalability, latency, and robustness. Conduct experiments and evaluations on agent behavior, adaptability, and long-term autonomy. Stay current with research and best practices in autonomous agents, AI planning, reinforcement learning, and related domains. Qualifications Required: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, or a related field 3+ years experience in AI/ML software development, with a focus on autonomous agents or AI planning. Strong proficiency in Python and familiarity with frameworks such as Lang Chain, Auto Gen, or custom agentic toolkits. Experience with LLMs, transformers, and integrating language models into agent workflows. Solid understanding of one or more of: reinforcement learning, cognitive architectures, symbolic reasoning, or decision-making systems. Preferred: Experience with cloud-based deployment of AI systems (e.g., AWS, GCP, Azure) Published work in agentic AI, multi-agent systems, or autonomous learning. Contributions to open-source agentic AI tools or frameworks. What We Offer: Join a rapidly expanding, global organization leading the charge in digital transformation with cutting-edge technologies. Remote work environment to support work-life balance. Opportunity to grow in a fast-paced and emerging domain. Inclusive and collaborative team culture where your ideas matter. Competitive compensation package with performance-based incentives to reward excellence and drive measurable results. At Sundew, we are on a mission to explore and shape the future of generative AI. If you're curious, creative, and ready to learn, this is your chance to grow with a company that's pushing the boundaries of digital innovation.

Keytag.ai are looking for AI/LLM engineers with to join our team building a new global LLM operations and agent framework for a large pharmaceutical organization. We are rolling out an eco-system of LLM Agents to generate documents, to automate workflows, and to perform new tasks across the organization. We are using cloud hosted and on-prem models as appropriate to the business area, and combining RAG, fine-tuning and some training. This a great opportunity to work with all aspects of Generative AI, in a startup mode with the security of company that has fixed customer contracts for the coming years. Core Skills Required Experienced in developing RAG based LLM solutions, handling all aspects from document splitting and chunking strategies, domain specific retrieval strategies, prompt development, performance tuning and production troubleshooting. Good understanding of LangChain and LangGraph libraries. Strong Python development and code design skills. Experienced in all aspects of data engineering and operations Ability to develop in Linux Environment, VSCode, github. Self starter keen to learn, enjoys delivering solutions, happy to give opinions and influence the design as well as the development of solutions. Additional Desirable Skills : Development of domain specific and/or task specific Agents in langgraph or another library. Experience designing and developing multi-agent flows. Experience with Langfuse, DeepEval or DPSy Fine-Tuning of models (and sample generation) to understand an organizations vernacular and services. Experience with multiple model providers eg Openai, Azure Openai, Lllama, Falcon. Experience using Neo4j, Redis, Fastapi, Airflow. What the role will involve : Working with the business on specific use cases to develop Agents to perform specific tasks and fit within our existing agent framework. Use cases are a variety of question answering and summarization, document and asset generation, workflow automation, and brand new tasks to replace complex human analysis. Enhancing our agent framework and ecosystem as requirements change and Gen AI technology advances. Creating a suite of models that can be used by the business; fine-tuned organization LLM and smaller task/domain specific llms. Using both cloud and on-prem open source models as appropriate. Enhancing our MLOps practices and improving our testing automations Sourcing and mapping data from a wide range of services including neo4j and relational databases, SAAS services, security and general business document stores. It is a remote role but there is plenty of interaction with the rest of the team, with daily standups and shared tasks, as well as directly working with customers on projects to discuss changes, implement, troubleshoot solutions etc. Benefits Remote work opportunity, providing flexibility and work-life balance. Medical insurance coverage for you and your family. Join a friendly and well-organized team with an open communication style. Continuous opportunities to grow your technical and soft skills.

About the Role: The Legal Counsel at EaseMyTrip.com plays a crucial role in overseeing the companys legal aspects, focusing on drafting, reviewing, and negotiating a wide range of commercial contracts. This position is responsible for ensuring compliance with applicable laws, managing intellectual property rights, and providing strategic legal advice to management. The ideal candidate will engage in legal research, maintain document templates, and support the organization's overall legal and regulatory obligations in the dynamic travel industry. Role & responsibilities: Contract Drafting and Review : Draft, vet, and maintain templates for various commercial contracts including vendor agreements, service contracts, business agreements, product license agreements, MOUs, letters of intent, non-disclosure agreements, teaming agreements, reseller agreements, and master services agreements. Contract Negotiation : Engage in negotiations with attorneys to finalize legal documentation associated with contracts. Legal Document Management : Oversee the maintenance and administration of all legal agreements and other pertinent legal documents within the legal department. Legal Advisory : Provide researched legal advice to the company on matters involving various business laws. Compliance Oversight : Ensure the company complies with applicable laws and regulations. Intellectual Property Rights (IPR) : Collaborate with product teams to identify patentable ideas, conduct patent searches, infringement studies, and draft applications for trademarks. Template Management : Create and update standard legal document templates to streamline the contract creation process. Legal Research : Conduct comprehensive legal research to support contract negotiations and corporate legal matters. Training and Development : Train and mentor junior legal staff and other departments on relevant legal issues and compliance. Strategic Legal Counseling : Provide strategic legal counseling to senior management regarding business strategies and their legal implications. Preferred candidate profile: Educational Qualifications : A graduate or postgraduate degree in law. Additional qualifications in intellectual property rights or related laws are preferred. Legal Experience : Minimum of two years of experience in a legal counsel role, preferably in a global services organization. Contract Law Expertise : Familiarity with US and international contract law, especially with experience in drafting and negotiating contracts. Technical Proficiency : Proficient in using Microsoft Word's standard and advanced features for contract review and drafting. Communication Skills : Strong communication abilities with proficiency in English, capable of articulating legal issues clearly and effectively. Analytical Skills : Excellent research and analytical skills, with the ability to exercise judgment and provide well-founded legal opinions. Negotiation Skills : Demonstrated expertise in contract drafting, negotiation, and execution. Team Collaboration : Strong interpersonal skills and the ability to work effectively within a team and in a dynamic business environment. Problem-solving Skills : Ability to anticipate potential issues, develop alternative strategies, and formulate actionable plans to address challenges. Personal Integrity : High ethical standards and the ability to maintain confidentiality, acting as a trusted advisor within the legal and compliance team.

About the Role: We are looking for a talented Generative AI Engineer to join our AI innovation team at EaseMyTrip.com and help power the next generation of intelligent travel experiences. In this role, you will lead the integration and optimization of Large Language Models (LLMs) to create conversational travel agents that can understand, recommend, and assist travelers across platforms. You will work at the intersection of backend systems, AI models, and natural language understanding, bringing smart automation to every travel interaction. Key Responsibilities: LLM Integration: Deploy and integrate LLMs (e.g., GPT-4, Claude, Mistral) to process natural language queries and deliver personalized travel recommendations. Prompt Engineering & RAG: Design optimized prompts and implement Retrieval-Augmented Generation (RAG) workflows to enhance contextual relevance in multi-turn conversations. Conversational Flow Design: Build and manage robust conversational workflows capable of handling complex travel scenarios such as booking modifications and cancellations. LLM Performance Optimization: Tune models and workflows to balance performance, scalability, latency, and cost across diverse environments. Backend Development: Develop scalable, asynchronous backend services using FastAPI or Django, with a focus on secure and efficient API architectures. Database & ORM Design: Design and manage data using PostgreSQL or MongoDB, and implement ORM solutions like SQLAlchemy for seamless data interaction. Cloud & Serverless Infrastructure: Deploy solutions on AWS, GCP, or Azure using containerized and serverless tools such as Lambda and Cloud Functions. Model Fine-Tuning & Evaluation: Fine-tune open-source and proprietary LLMs using techniques like LoRA and PEFT, and evaluate outputs using BLEU, ROUGE, or similar metrics. NLP Pipeline Implementation: Develop NLP functionalities including named entity recognition, sentiment analysis, and dialogue state tracking. Cross-Functional Collaboration: Work closely with AI researchers, frontend developers, and product teams to ship impactful features rapidly and iteratively. Preferred Candidate Profile: Experience: Minimum 2 years in backend development with at least 1 year of hands-on experience working with LLMs or NLP systems. Programming Skills: Proficient in Python with practical exposure to asynchronous programming and frameworks like FastAPI or Django. LLM Ecosystem Expertise: Experience with tools and libraries such as LangChain, LlamaIndex, Hugging Face Transformers, and OpenAI/Anthropic APIs. Database Knowledge: Strong understanding of relational and NoSQL databases, including schema design and performance optimization. Model Engineering: Familiarity with prompt design, LLM fine-tuning (LoRA, PEFT), and evaluation metrics for language models. Cloud Deployment: Comfortable working with cloud platforms (AWS/GCP/Azure) and building serverless or containerized deployments. NLP Understanding: Solid grasp of NLP concepts including intent detection, dialogue management, and text classification. Problem-Solving Mindset: Ability to translate business problems into AI-first solutions with a user-centric approach. Team Collaboration: Strong communication skills and a collaborative spirit to work effectively with multidisciplinary teams. Curiosity and Drive: Passionate about staying at the forefront of AI and using emerging technologies to build innovative travel experiences.

Hexaware is conducting Walkin Interview for Data Scientist (Agentic AI) _Chennai Location_ 17th May 25 (Saturday) We urgently looking for Immediate joiners/Early joiners. Interested Candidates can share CV at umaparvathyc@hexaware.com Experience range- 3yrs to 19yrs Notice period- 15 days/30days Max Interview Location (Face to Face)- Chennai Open Positions: 1. AI Engineer -3+yrs 2. Lead Agentic AI Developer -5+yrs 3. Data scientist Architect- 10_yrs MUST HAVE: Must have Experience: Agentic AI, LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Knowledge of Agentic AI concepts and applications 2. Strong Experience in Data Scientist (GENAI) 3. Proficiency with Generative AI models like GANs, VAEs, and transformers 4. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 5. Strong Python Fast API experience, SDA based implementations for all the APIs

Job Title: Senior Software Engineer / Tech Lead - Full Stack (React, Python, MongoDB, AI) Location: Bangalore, India (On-site) Type: Full-time Experience: 4 -10 years About the Role We are looking for a Senior Software Engineer / Tech Lead to join our fast-growing engineering team in Bangalore . This is a high-impact role for someone who thrives in a product company environment , enjoys solving complex problems, and can deliver secure, scalable, and AI-enabled systems fast. Youll work across the stack with ReactJS, Python, and MongoDB , integrating AI models or APIs where it drives real value. You bring a delivery-first mindset , care deeply about performance, scalability, and security , and are passionate about building high-quality production code that moves the needle for the business. What Youll Do Build and ship end-to-end features using React (frontend) , Python (backend APIs) , and MongoDB (data layer) . Contribute to architectural decisions, system design, and product shaping discussions. Integrate AI/ML models or LLM APIs into real-world product workflows. Deliver clean, maintainable, production-ready code — fast. Collaborate with product managers, designers, and other engineers to iterate quickly and smartly. Ensure systems are high-performing, secure, and scalable from day one. Own your work with pride and push for continuous improvement in code quality and delivery velocity. What We’re Looking For 4–10 years of experience in software development at product companies (mandatory). Strong proficiency in: ReactJS (modern component patterns, performance tuning) Python (FastAPI, Flask, Django) MongoDB (schema design, indexing, performance optimization) Hands-on experience in building and maintaining production systems with real users. Familiarity with AI/ML APIs , LLMs, or intelligent feature integrations is a strong plus. Experience working with cloud-native architectures (AWS/GCP), containerization (Docker), and CI/CD pipelines. A business-aware mindset — you understand the “why” behind what you build. Strong ownership, collaboration, and problem-solving skills. Bonus Points Exposure to Vector Databases , or AI agents . Built software in early-stage startups or fast-growing B2B platforms . Passion for shipping fast without compromising stability or scale. Why Join Us Join a mission-driven product company building intelligent, real-world solutions. Work in a builder-led, high-ownership culture Collaborate with world-class talent across engineering, product, and AI. If you’re passionate about building smart, scalable, and meaningful products — this is your platform.

Develop and implement AI scripts using Python to automate processes and tasks. Apply knowledge of the OpenAI API to create complex AI workflows and enhance automation solutions. Lead the deployment of AI solutions in Azure Apply Langchain Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science, Machine learning along with hands on experience with GenAI and LLMs

Job Description for GB5A(Dev) Primary Role Primarily responsible for working as Tech Lead i.e. leading the team and mentoring it technically. Provide hands-on technical leadership in the design, development, and deployment of generative AI models and systems. Serve as the technical point of contact for cross-functional teams, ensuring seamless collaboration between product, engineering, and data science teams. Responsibilities & KPIs Guiding the team technically and helping them solve the technical problems, throughout the project. Responsible for defining project goals, timelines, and deliverables in collaboration with stakeholders. Ensure scalability, robustness, and cost-efficiency of AI solutions. Conduct code reviews, provide constructive feedback, and ensure adherence to best practices in AI development. Build and maintain workflows to manage multiple POCs and project workloads efficiently. Collaborate with data scientists and domain experts to ensure model accuracy and relevance. Architect end-to-end Generative AI pipelines for model training, evaluation, and deployment using state-of-the-art tools and techniques Optimize AI models for speed, accuracy, and cost-efficiency. Ensure compliance with security and ethical standards. Address challenges like data drift and model degradation Proactively introduce innovative generative AI methodologies to address complex business challenges. Foster a culture of experimentation and continuous learning within the team. Ensure alignment between business goals and technical implementations. Desired Skills B.E./B.Tech degree in Computer Science, Information Science, or a related field from a leading institute preferred. Good leadership and people management skills. Excellent communication skills for translating technical concepts to non-technical stakeholders. Hands-on experience with Python Hands-on experience in machine learning, natural language processing, deep learning, and Generative AI technologies like LLM, RAG, Multi Modal architecture. Familiarity with frameworks like TensorFlow, PyTorch, Keras or Hugging Face. Familiarity with MLOps and CI/CD pipelines for AI workflows. Knowledge of cloud platforms (AWS, Azure, or GCP) for deploying AI solutions. Familiarity with current AI trends and open source technologies. Strong problem-solving and analytical skills. Ability to work on multiple projects simultaneously and manage priorities effectively. Exposure to financial services domains is a plus. Basic understanding of UI Frameworks (e.g. Angular) is a plus.

Location: Remote Timings: Full Time (As per company timings) Notice Period: (Immediate Joiner - Only) Experience: 4 Years Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

About the Role : A NASDAQ-listed international enterprise with a focus on both services and products for the Internet is looking for an API Developer. Job Responsibilities : - Evaluate, train, and enhance foundational LLM models for ServiceNow scripting languages, focusing on improving co-pilot features for accurate and context-aware automation support. - Conduct regular evaluations and feedback loops to refine LLM-based integrations, ensuring alignment with business objectives. - Fine-tune models using techniques such as Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) to optimize ServiceNow's scripting capabilities, including JavaScript, GlideScript, and advanced querying techniques like GlideQuery and Dot-walking. - Develop and implement automated processes using ServiceNow's scripting languages (JavaScript, GlideScript, etc.), leveraging advanced techniques for data manipulation and workflow automation. - Optimize existing scripts and workflows to enhance performance, reliability, and scalability within the ServiceNow platform. - This is not a ServiceNow admin job, but a LLM trainer job in the context of ServiceNow development with a focus on ServiceNow scripting Job Requirements : Tech Skills : - Minimum of 3-5 years of hands-on experience with ServiceNow, specifically in developing and implementing custom integrations and applications using ServiceNow APIs. - Strong experience on at least one module other than ITSM like HRSD/ITOM/CSM/ITAM/FSM etc. - Any module specific CIS certification will be preferred. - Experience in creating and modifying ServiceNow based technical requirementsStrong proficiency in JavaScript and GlideScript, with expertise in advanced querying techniques like GlideQuery and Dot-walking. - ServiceNow certifications, such as ServiceNow Certified Application Developer (CAD), are highly desirable. Soft Skills : - Strong problem-solving skills with meticulous attention to detail. - Excellent communication and collaboration abilities, capable of working effectively in a fast-paced, agile development environment. - Strong analytical and critical thinking skills to evaluate and improve scripting solutions based on performance metrics and business needs. Search Guidance Number of Position : 10 Mandatory Skills : 3+JavaScript, 3+Glide Script, 3+ ServiceNow APIs Total Years Of exp : 3-5 years ServiceNow, specifically with ServiceNow APIs Opportunity : Full Time, 8 hours (4 Hours overlap with PST) Notice Period : Immediate

Job Opportunity Senior Full-Stack Developer Primary Skills NodeJS 6+ years of hands-on backend development JavaScript / HTML / CSS . Strong frontend development capabilities ReactJS / VueJS Working knowledge or project experience preferred AWS Serverless Architecture Mandatory (Lambda, API Gateway, S3) LLM Integration / AI Development Experience with OpenAI, Anthropic APIs Prompt Engineering Context management and token optimization SQL / NoSQL Databases Solid experience with relational & non-relational DBs End To End Deployment Deploy, debug, and manage full-stack apps CleanCode Writes clean, maintainable, production-ready code Secondary Skills Amazon Bedrock Familiarity is a strong plus WebServers Experience with Nginx / Apache configuration RAGPatterns / VectorDBs / AI Agents Bonus experience Software Engineering Best Practices Strong design & architecture skills CI/CD / DevOps Exposure Beneficial for full pipeline integration Expectations Own frontend and backend development Collaborate closely with engineering and client teams Build scalable, secure, and intelligent systems Influence architecture and tech stack decisions Stay up-to-date with AI trends and serverless best practices.

Are you ready to shape the future of AI? As a Mid-Level Generative AI Engineer at Techolution, you'll be at the forefront of innovation, fine-tuning cutting-edge LLMs like Falcon, LLaMA, and PaLM 2. Dive deep into the world of NLP, vector databases, and deep learning frameworks to create groundbreaking solutions. Your expertise in Python, PyTorch, and TensorFlow will drive the development of next-generation AI applications. Join our dynamic team and turn visionary concepts into reality, while collaborating with cross-functional experts to integrate ML solutions that redefine industries. Designation: Generative AI Engineer Location: Hyderabad, India Employment Type: Full Time Expertise: Mid-Level Key Responsibilities Develop and implement cutting-edge generative AI solutions, leveraging LLMs and RAG techniques to solve complex business challenges and drive innovation. Design and optimize AI agents that automate tasks, enhance decision-making processes, and improve overall operational efficiency across various departments. ¢ Spearhead the implementation of vector databases to efficiently store and retrieve high-dimensional data, enabling faster and more accurate AI model performance. ¢ Lead the fine-tuning of pre-trained models, adapting them to specific use cases and improving their performance on domain-specific tasks. ¢ Collaborate with cross-functional teams to integrate generative AI capabilities into existing products and services, enhancing user experiences and creating new value propositions. ¢ Conduct thorough research on emerging deep learning techniques and architectures, staying at the forefront of AI advancements and applying them to real-world problems. ¢ Develop and maintain scalable AI pipelines that streamline data processing, model training, and deployment processes, ensuring efficient and reliable AI operations. ¢ Demonstrate strong ownership by taking responsibility for end-to-end AI project lifecycles, from concept to production deployment and ongoing optimization. ¢ Cultivate a seeker mindset by continuously exploring new AI methodologies and tools, actively contributing to the team's knowledge base and fostering a culture of innovation. ¢ Showcase passion towards work by eagerly tackling complex AI challenges, pushing boundaries, and consistently delivering high-quality solutions that exceed expectations. Foundational Skills ¢ Large Language Models (LLMs): Proven expertise in working with state-of-the-art LLMs, including fine-tuning, prompt engineering, and integration into production systems. ¢ Retrieval-Augmented Generation (RAG): Demonstrated ability to implement RAG techniques to enhance AI model performance and accuracy in information retrieval tasks. ¢ Fine-tuning: Proficiency in adapting pre-trained models to specific domains and tasks, optimizing their performance for targeted applications. ¢ Vector Databases: Hands-on experience with vector databases for efficient storage and retrieval of high-dimensional data in AI applications. ¢ Deep Learning: Strong foundation in deep learning principles and architectures, with the ability to apply them to solve complex real-world problems. ¢ Generative AI: Comprehensive understanding of generative AI techniques and their practical applications in various industries. ¢ AI Agents: Experience in designing and implementing AI agents that can autonomously perform tasks and make decisions. ¢ Ownership: Demonstrated ability to take full responsibility for projects, driving them from conception to successful completion. ¢ Seeker Mindset: Proactive approach to learning and exploring new technologies, constantly seeking ways to improve and innovate. ¢ Passionate Towards Work: Genuine enthusiasm for AI and its potential to transform industries, reflected in a commitment to excellence and continuous improvement. ¢ Extremely Ambitious: Drive to push boundaries and set high goals, both personally and for the team, to achieve groundbreaking results in AI development. ¢ Ability to Comprehend: Exceptional skill in quickly grasping complex AI concepts and translating them into practical, impactful solutions. Advanced Skills ¢ Computer Vision: Familiarity with computer vision techniques and frameworks, enabling the integration of visual data processing capabilities into AI solutions. ¢ Cloud Deployment: Experience with deploying AI models and applications on cloud platforms, ensuring scalability and reliability in production environments. ¢ Leadership Experience: Prior experience in leading small teams or mentoring junior engineers, demonstrating potential for future growth into leadership roles within the AI department. How to Apply If you are passionate about leveraging AI technologies to create impactful solutions and meet the qualifications listed above, we invite you to apply for this exciting opportunity by sharing your video resume. We look forward to hearing your story and exploring how your skills align with the goals of our team. As an equal opportunity employer, Techolution celebrates diversity and is committed to creating an inclusive environment for all employees. About Techolution At Techolution, we specialize in building custom AI solutions that deliver innovation and drive measurable outcomes for enterprises worldwide. With our specialized expertise we help businesses take AI from their labs into the real world. What We Do As your one-stop shop engineering firm, Techolution guides you from ideation to ROI realization. We ensure real-world AI success by minimizing R&D risks for our clients with our innovative fixed-bid pricing model. Our Unique Value Proposition ¢ White Glove Service: From Ideation Innovation Integration, we lead the way to deliver meaningful outcomes, enabling your team to operate AI solutions independently. ¢ Human-AI Partnership: Our Govern Guide Control (GGC) framework ensures responsible AI governance, aligning solutions with your organizational requirements and brand identity. ¢ Customized AI Solutions: We tailor AI to your enterprise needs, delivering from concept to implementation with our turnkey approach at a guaranteed price. Our Impact Techolution has partnered with 300+ clients worldwide, including 50+ Fortune 500 companies. Our growing team works across diverse sectors such as healthcare, education, retail, media, tech, banking, fintech, government, telecom, and manufacturing. Celebrating 9+ years in business, we are committed to AI Done Right! Awards & Recognition ¢ 2024: Forbes publishes the best-selling book by our CEO, "Failing Fast?: The 10 Secrets to Succeed Faster." ¢ 2023: AI Solutions Provider of the Year - AI Summit ¢ 2022: Best in Business Award - Inc. Magazine ¢ 2021: Best Cloud Transformation Consulting - CIO Review ¢ 2019: Inc. 500 Fastest Growing Company Award Take a Look At Our Accelerators ¢ Enterprise LLM Studio ¢ AppMod.AI ¢ ComputerVision.AI ¢ Robotics and Edge Device Fabrication ¢ RLEF AI Platform Some Videos You Wanna Watch! ¢ About Techolution ¢ Transform Customer Service with Techolution ¢ GoogleNext 2023 ¢ Conversational AI for Enterprise ¢ Realytics AI Success Story Visit us at www.techolution.com to know more about our revolutionary core practices and how we enrich the human experience with technology.

Role: AI/ML Engineer Has 4+ years of work experience , with at least 2+ years directly working on Generative AI and Agentic systems Knows how to use Large Language Models (LLMs) like GPT for real applications (not just research or theory) Has worked on multi-agent systems or autonomous AI agents using tools like CrewAI, AutoGen, or similar frameworks Can write smart prompts ( prompt engineering ), build apps with LLMs, and knows how to do RAG (Retrieval-Augmented Generation) Has done fine-tuning of models and built custom AI workflows Codes well in Python Has used ML frameworks like TensorFlow or PyTorch Familiar with tools like LangChain , and cloud/data platforms like AWS or Databricks Location: Bangalore/ Mumbai Shift Timing: 12:00 PM 9:00 PM Notice Period: 30 days or less Call Anumeha @ +91 6376649769/ Alfiya @ +91 8787064649

Job Description Azure Cloud Data Analytics, AI and Computer Vision Specialist Job Title: Azure Cloud Data Analytics, AI and Computer Vision Specialist Industry: Software Development Employment Type: Full Time Location: Noida, India About Us: We are a health tech-focused organization creating innovative, scalable solutions to transform lives. We are seeking a skilled Azure Cloud Data Analytics, AI and Computer Vision Specialist to drive impactful projects and lead cutting-edge product development.At I-Line Pvt Ltd, were on a mission to redefine healthcare through cutting-edge technology. Our focus is on creating intelligent, affordable, and accessible healthcare solutions that harness the power of AI, AR/VR, IoT, and advanced tech to build the healthcare systems of the future. Collaborating with some of the largest hospitals in the country, we are deeply committed to identifying and solving real-world problems with innovative and unconventional approaches. If you're driven by innovation and eager to make a tangible impact in healthcare, this could be your next big move. Responsibilities: Azure Data Analytics Pipelines: Build cost-effective, scalable Azure data pipelines from scratch, optimizing ETL processes and handling large datasets reliably. Product Development: Involved with 0-to-1 product development in data analytics and AI space, from ideation to execution, ensuring innovative and impactful solutions. Computer Vision Development: Develop and deploy advanced computer vision models, including object detection, classification, segmentation, and real-time applications. LLM-Based Product Development: Design AI-driven solutions leveraging large language models (LLMs), with a focus on health tech innovations. Innovation in Health Tech: Build transformative, AI-enabled products while adhering to regulatory standards and data security protocols. Qualifications: Proven experience in Azure data pipelines using tools like Data Factory, Synapse Analytics, and Databricks. Expertise in Python, SQL, deep learning frameworks (TensorFlow, PyTorch), and deploying AI-based solutions. Experience in 0-to-1 product development is a strong advantage. Education: B.Tech from a premier institute is highly preferred. A Ph.D. in a relevant field is an outstanding advantage. Prior experience in health tech is highly desirable. Please share CV at madhulika.mishra@IQline.co.in

Software Architect Generative AI & LLM Systems job location Hyderabad - Noida or Gurgaon Job Overview We are seeking a highly experienced and hands-on Software Architect to lead the design and deployment of Large Language Model (LLM)-powered applications across cloud and on-prem environments. This role demands deep expertise in full-stack software development, high-performance inference systems, and cutting-edge generative AI workflows. You will play a key role in scaling AI infrastructure, maximizing throughput, and educating cross-functional teams on best practices for building LLM-driven solutions. Key Responsibilities LLM Deployment & Infrastructure Design: Architect, deploy, and maintain LLMs on cloud-based GPU clusters (e.g., AWS, GCP, Azure) or on-premise hardware including NVIDIA HGX and smaller GPU-accelerated instances. Bonus points for experience deploying containerized LLM applications in GPU clusters. Performance Optimization on Software Layer: Optimize LLM serving stacks using frameworks such as vLLM, TensorRT-LLM, or DeepSpeed to improve inference throughput and reduce time-to-first-token latency. Prompt Engineering & Optimization: Design, test, and refine prompts for LLMs to extract the highest quality output. Mentor team members on prompt engineering strategies and few-shot examples. I nference Efficiency & Scalability: Architect systems to maximize low-latency performance and time-to-first-token even under high demand. GenAI Application Architectu re: Build and lead GenAI application development using Langchain, designing modular pipelines for agents, tools, and memory systems. Define architectural patterns and reusable workflows. Team Enablement & Education: Educate and upskill engineering teams on best practices in GenAI development, inference performance, and prompt design through documentation, workshops, and code reviews. RAG with SQL-based Systems: Design and implement retrieval-augmented generation (RAG) pipelines that leverage SQL-like structured databases for high-relevance grounding. Vector Database Integration (Nice-to-Have): Bonus: Architect and optimize RAG systems using vector embeddings and specialized vector databases such as FAISS, Weaviate, or Pinecone. Requirements Must-Have Skills: 7+ years of full-stack development and software architecture experience Proven track record deploying LLMs in production, both on-premise and cloud GPU environments Strong hands-on experience with v LLM, Langchain, and model serving performance tuning Deep knowledge of prompt engineering, token economy, and optimizing LLM behavior Experience designing and scaling inference pipelines for latency and throughput Strong experience with Python and either TypeScript or Golan g Familiarity with deploying applications to hyperscalers (AWS, GCP, Azure) Strong knowledge of SQL databases and data retrieval strategies for grounding LLM responses Nice-to-Have Skills: Experience with vector databases and embedding-based retrieval in RAG pipelines Experience with orchestrating containerized LLM deployments using Kubernetes or Ray Familiarity with streaming inference systems and token-by-token UX optimizations Background in AI/ML systems, MLOps, or research-to-prod workflows conact 95134 87487

If you are interested, you can email your CV to raipurhr@itmuniversity.org or careers@itmuniversity.org , or contact Shilpa Ma'am at 9109110154 for more details. Position: Assistant Professor / Associate Professor (Law) Organization: ITM University Location: Uparwara Gaon, Atal Nagar, Raipur, Chhattisgarh (Pickup & Drop Bus Service Available) Working Days: 6 days a week (last Saturday of the month off) Shift: General Shift (7-hour shift) Required Candidate Profile: Assistant Professor: Master's Degree in Law. Associate Professor: PhD in Law, along with an LLM in Law. Must be flexible with a positive attitude. Good communication skills. Job Description: Teaching law-related courses and preparing lectures. Contact time with students, assessing their work. Encouraging student development and providing pastoral support. Invigilating exams and attending staff meetings. Engaging in research, publishing papers, and reading academic journals. Supervising PhD students and research staff. Attending conferences, seminars, and preparing research proposals.

Looking for a highly skilled GenAI Scientist with a strong expertise in the field of LLMs, including multimodal LLMs, agentic AI, fine-tuning, distillation, hands-on approach to research, development, and implementation of cutting-edge AI solutions.

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

Develop and deploy AI-based applications leveraging LLMs and Generative AI models like GPT, Gemini, or similar frameworks Build scalable backend systems using Python, ensuring seamless integration with UI/UX components Design and optimize generative AI models to address diverse business challenges Fine-tune pre-trained LLMs to align with specific use cases Work closely with cross-functional teams, including data scientists, UI/UX developers, and product managers, to deliver robust solutions Collaborate with clients to gather requirements and develop customized AI capabilities Deploy solutions on cloud platforms (Azure, AWS, or GCP) and ensure system scalability and performance