282 Llms Jobs - Page 7

We are seeking a Senior Python Backend Developer to join our team and take charge of building REST APIs and serverless functions in Azure using Python. As a Senior Python Backend Developer, your main responsibility will be developing high-performance and responsive REST APIs to cater to front-end requests. It will be essential for you to collaborate with team members working on various layers of the application and integrate front-end elements provided by co-workers. Therefore, having a basic understanding of front-end technologies is crucial for this role. Your duties will include delivering top-quality working software independently, writing secure and efficient code, and designing low-latency, high-availability applications. You will also be tasked with integrating user-facing elements developed by front-end developers, implementing security measures, and ensuring data protection. Additionally, your role will involve working with various Azure services like Azure Functions, APIM, Azure storage, SQL, and NoSQL databases, as well as writing automated tests and integrating with Azure APIM, Tracing, and Monitoring services. To excel in this role, you should have experience in building Azure Functions with Python, be proficient in Python with knowledge of at least one Python web framework, and have familiarity with ORM libraries. You should also be capable of integrating multiple data sources and databases into a cohesive system, possess a basic understanding of front-end technologies like JavaScript, HTML5, and CSS3, and have experience with OAuth2/OIDC for securing the backend using Azure AD B2C. Additionally, expertise in Azure services such as Key Vaults, Cost Management, Budgets, Application Insights, Azure Monitor, VNet, etc., fundamental design principles for scalable applications, database schema creation, unit testing, debugging, Git, Postman, Swagger/OpenAPI, Gen-AI, Langchain, Vectorization, LLMs, NoSQL databases like MongoDB, REST APIs, Microservices, and Azure DevOps for CI/CD will be beneficial for this role. If you are passionate about backend development, have a knack for problem-solving collaboratively, and are committed to delivering high-quality software, we invite you to apply for this exciting opportunity to contribute to our team. (Note: This job description is sourced from hirist.tech),

The Lead Platform Engineer - Gen AI at Elanco, based in Bengaluru, India, will be a part of the Software Engineering & Platforms team. Reporting to the IT Engineering Associate Director, you will be instrumental in driving the direction of platform and automation capabilities, specifically focusing on generative AI and its implementation at Elanco. Your role will involve collaborating with a diverse team to work on cutting-edge engineering initiatives that ensure secure, reliable, and efficient solutions using the latest technology. As a successful candidate, you must possess a highly motivated and innovative mindset, with the ability to articulate complex technical topics, collaborate with external partners, and ensure the quality delivery of solutions. You will have the opportunity to contribute to the growth of a highly skilled engineering organization and play a key role in shaping the future of GenAI capabilities at Elanco. Your responsibilities will include staying updated on the latest AI research and technologies, contributing to continuous improvement and innovation within the team, identifying opportunities for enhancing application team and developer experience, and working collaboratively with various stakeholders to deliver high-quality technical solutions. Additionally, you will be responsible for building and running GenAI capabilities, supporting distributed teams on AI/ML consumption, and maintaining robust support processes. To qualify for this role, you must have a minimum of 2+ years of hands-on experience in Generative AI and LLMs, along with a total of 8+ years of experience as a Software Engineer. Proficiency in programming languages such as Python, TensorFlow, PyTorch, and other AI/ML frameworks is essential, as is a strong understanding of neural networks, NLP, computer vision, and other AI domains. Experience with cloud platforms and AI tools (e.g., Google Cloud, Azure), familiarity with AI technologies, data pipelines, and deploying AI solutions in real-world applications are also required. It would be beneficial to have experience with Cloud Native design patterns, core technologies like Terraform, Ansible, and Packer, cloud cognitive services, AI/Embeddings technologies, modern application architecture methodologies, and API-centric design. Knowledge of authentication and authorization protocols, AI security, model evaluation, and safety will be advantageous. This role offers an exciting opportunity to work on cutting-edge technology, contribute to the growth of a new engineering organization, and make a significant impact on Elanco's AI capabilities. If you are passionate about innovation, collaboration, and driving tangible outcomes, we encourage you to apply for this role.,

Role & responsibilities Develop and fine-tune LLMs using techniques like RAG, transfer learning, or domain-specific adaptation Build AI agents using frameworks like LangChain or CrewAI to manage dynamic and multi-step workflows Work with vector databases (e.g., Pinecone) to enable semantic search and retrieval Design and maintain ETL pipelines and ensure smooth data preprocessing and transformation Implement NLP solutions for tasks like intent detection, sentiment analysis, and content generation Develop backend APIs and services using Python frameworks like FastAPI or Flask Contribute to scalable microservice-based architectures Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. 2 to 4 years in AI/ML development and backend system Machine Learning Fundamentals: Strong grasp of algorithms, model training, evaluation, and tuning Generative AI Models: Experience working with LLMs, RAG architecture, and fine-tuning techniques LangChain or Similar Frameworks: Hands-on experience building AI workflows using toolkits like LangChain Natural Language Processing (NLP): Proficiency in text analytics, classification, tokenization, embeddings Vector Databases: Practical use of tools like Pinecone, FAISS, or similar for retrieval-augmented generation Big Data Handling: Ability to work with large datasets, optimize storage, and processing pipelines SQL/NoSQL: Experience in querying and managing structured and unstructured data Python & API Development: Proficiency in Python and frameworks like FastAPI or Flask ETL & Data Preprocessing: Strong understanding of building pipelines for clean and efficient data processing Soft Skills: Strong problem-solving, communication, and collaboration abilities

Hiring: LLM Developer/Engineer (New Delhi) Requirements: Strong understanding of NLP, Transformers, and LLMs. Coding experience is a must with at least 2 years of experience working on LLMs, RAG, hyperparameter tuning, and fine-tuning open-source models. B.Tech or higher in EC, CS, or AI/ML.,

As a Senior AI/ML Engineer specializing in Natural Language Processing (NLP) and Large Language Models (LLMs) at Snowfig in Delhi, India, you will be at the forefront of developing innovative AI-driven solutions for the legal tech industry. Snowfig is known for its commitment to revolutionizing the legal field by creating bespoke tech solutions that streamline processes and empower legal professionals. Join our team and be part of a mission to drive innovation and excellence in legal tech! Your main responsibilities will include leading the design, development, and deployment of NLP and LLM-based solutions customized for the legal sector. You will work on cutting-edge projects involving LLMs like Mixteral or LAMA to build intelligent, efficient, and scalable solutions. Additionally, you will design and integrate knowledge graphs to enhance the performance of LLMs, ensuring accurate and contextually relevant outputs. Furthermore, you will be responsible for developing robust data pipelines for preprocessing, cleaning, and managing large-scale legal datasets to ensure high-quality input for model training. You will apply advanced techniques for model training, fine-tuning, and optimization to ensure the robustness, efficiency, and scalability of AI models. Collaboration with cross-functional teams to understand requirements, propose solutions, and deliver high-quality products will be a key part of your role. Mentoring junior engineers, staying updated on the latest advancements in AI, NLP, and LLMs, and bringing new ideas to the table are also crucial aspects of this position. You should have over 5 years of hands-on experience in AI/ML, with a strong focus on NLP and LLMs, along with proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. A deep understanding of NLP techniques, LLM architectures, knowledge graphs, cloud platforms like Azure or AWS, and data engineering principles is essential. If you are looking to make a significant impact in transforming the legal industry, work on groundbreaking projects, and advance your career in a collaborative and innovative environment, Snowfig offers the perfect opportunity. Join our dynamic team in Delhi and be a part of a vibrant and diverse work culture that values creativity, initiative, and professional growth.,

Chennai, India Role Overview We are looking for an exceptional ML Engineer who can help us to provide a great user experience while we wow our users with the power of AI for advanced document understanding. Strong working knowledge of using Python is critical for this position. This is an exciting opportunity to work closely with our platform team and help drive our technology forward bridging the gap between research & engineering in the field of machine comprehension. If you want to realign your career towards Machine Learning/Artificial Intelligence, look no further. This position offers an opportunity to work closely with best of minds in this field and to learn the tricks by doing amazing things along with them. In this role you will focus on developing engaging interfaces for our users, enhancing the AI experience they get in our platform. You will enable people by making their work of reading documents enjoyable through blending the power of AI with rich UX in our first of its kind DIY SaaS for advanced document understanding using AI. Qualifications Excellent problem-solving skills and critical thinking abilities. Solid experience in machine learning, deep learning, and large language models. Expert proficiency in Python. Familiarity with LLMs like Llama, Zephyr, Mistral, and OpenAI APIs. Experience with transformer models (BERT, GPT, RoBERTa, etc.). Knowledge of ML frameworks (PyTorch, Langchain, Spacy, etc.). MLOps infrastructure development experience. 2-5 years of experience in AI/ML in the software industry. Roles and Responsibilities Develop and Implement ML Models: Design, build, and deploy advanced machine learning models, with a focus on Large Language Models (LLMs) and Deep Learning Model Optimization: Fine-tune models to improve performance, latency, memory efficiency, and throughput. Software Development: Apply strong programming skills, particularly in Python, to create robust AI solutions. MLOps Infrastructure: Construct and manage infrastructure for ML experimentation, A/B testing, and production deployment. LLM Pipeline Development: Oversee LLM pipelines using frameworks like Langchain, LlamaIndex, etc. AI Solutioning: Collaborate with cross-functional teams to devise AI solutions for complex business challenges.,

Job Title: Product Owner / Subject Matter Expert (AI & Data) Experience Required: 10+ years Location: The selected candidate is required to work onsite for the initial 1 to 3-month project training and execution period at either our Kovilpatti or Chennai location, which will be confirmed during the onboarding process. After the initial period, remote work opportunities will be offered. Job Description: The Product Owner / Subject Matter Expert (AI & Data) will lead the definition, prioritization, and successful delivery of intelligent, data-driven products by aligning business needs with AI/ML and data platform capabilities. Acting as a bridge between stakeholders, data engineering teams, and AI developers, this role ensures that business goals are translated into actionable technical requirements. The candidate will manage product backlogs, define epics and features, and guide cross-functional teams throughout the product development lifecycle. They will play a crucial role in driving innovation, ensuring data governance, and realizing value through AI-enhanced digital solutions. Key Responsibilities: Define and manage the product roadmap across AI and data domains based on business strategy and stakeholder input. Translate business needs into technical requirements, user stories, and use cases for AI and data-driven applications. Collaborate with data scientists, AI engineers, and data engineers to prioritize features, define MVPs, and validate solution feasibility. Lead backlog refinement, sprint planning, and iteration reviews across multidisciplinary teams. Drive the adoption of AI models (e.g., LLMs, classification, prediction, recommendation) and data pipelines that support operational goals. Ensure inclusion of data governance, lineage, and compliance requirements in product development. Engage with business units to define KPIs and success metrics for AI and analytics products. Document product artifacts such as PRDs, feature definitions, data mappings, model selection criteria, and risk registers. Facilitate workshops, stakeholder demos, and solution walkthroughs to ensure ongoing alignment. Support responsible AI practices and secure data sharing standards. Technical Skills: Product Management Tools: Azure DevOps, Jira, Confluence AI/ML Concepts: LLMs, NLP, predictive analytics, computer vision, generative AI AI Tools: OpenAI, Azure OpenAI, MLflow, LangChain, prompt engineering Data Platforms: Azure Data Factory, Databricks, Synapse Analytics, Purview, SQL, NoSQL Data Governance: Metadata management, data lineage, PII handling, classification standards Documentation: PRDs, data dictionaries, process flows, KPI dashboards Methodologies: Agile/Scrum, backlog management, MVP delivery Qualification: Bachelors or Master’s in Computer Science, Data Science, Information Systems, or a related field. Preferred Certifications: Microsoft Certified (Azure AI Engineer Associate / Azure Data Fundamentals / Azure Data Engineer Associate). 10+ years of experience in product ownership, business analysis, or solution delivery in AI and data-centric environments. Proven success in delivering AI-enabled products and scalable data platforms. Strong communication, stakeholder facilitation, and technical documentation skills.

Responsibilities Design, develop, and deploy scalable AI/ML solutions using AWS services such as Amazon Bedrock, SageMaker, Amazon Q, Amazon Lex, Amazon Connect, and Lambda. Implement and optimize large language model (LLM) applications using Amazon Bedrock, including prompt engineering, fine-tuning, and orchestration for specific business use cases. Build and maintain end-to-end machine learning pipelines using SageMaker for model training, tuning, deployment, and monitoring. Integrate conversational AI and virtual assistants using Amazon Lex and Amazon Connect, with seamless user experiences and real-time inference. Leverage AWS Lambda for event-driven execution of model inference, data preprocessing, and microservices. Design and maintain scalable and secure data pipelines and AI workflows, ensuring efficient data flow to and from Redshift and other AWS data stores. Implement data ingestion, transformation, and model inference for structured and unstructured data using Python and AWS SDKs. Collaborate with data engineers and scientists to support development and deployment of ML models on AWS. Monitor AI/ML applications in production, ensuring optimal performance, low latency, and cost efficiency across all AI/ML services. Ensure implementation of AWS security best practices, including IAM policies, data encryption, and compliance with industry standards. Drive the integration of Amazon Q for enterprise AI-based assistance and automation across internal processes and systems. Participate in architecture reviews and recommend best-fit AWS AI/ML services for evolving business needs. Stay up to date with the latest advancements in AWS AI services, LLMs, and industry trends to inform technology strategy and innovation. Prepare documentation for ML pipelines, model performance reports, and system architecture. Qualifications we seek in you: Minimum Qualifications Proven hands-on experience with Amazon Bedrock, SageMaker, Lex, Connect, Lambda, and Redshift. Strong knowledge and application experience with Large Language Models (LLMs) and prompt engineering techniques. Experience building production-grade AI applications using AWS AI or other generative AI services. Solid programming experience in Python for ML development, data processing, and automation. Proficiency in designing and deploying conversational AI/chatbot solutions using Lex and Connect. Experience with Redshift for data warehousing and analytics integration with ML solutions. Good understanding of AWS architecture, scalability, availability, and security best practices. Familiarity with AWS development, deployment, and monitoring tools (CloudWatch, CodePipeline, etc.). Strong understanding of MLOps practices including model versioning, CI/CD pipelines, and model monitoring. Strong communication and interpersonal skills to collaborate with cross-functional teams and stakeholders. Ability to troubleshoot performance bottlenecks and optimize cloud resources for cost-effectiveness Preferred Qualifications: AWS Certification in Machine Learning, Solutions Architect, or AI Services. Experience with other AI tools (e.g., Anthropic Claude, OpenAI APIs, or Hugging Face). Knowledge of streaming architectures and services like Kafka or Kinesis.

We're hiring a passionate Data Scientist / GenAI Engineer to join our AI-first team working on LLMs, RAG pipelines, NLP features, and GenAI use cases like chatbots, recommendation engines, and smart automation.

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.

Role - Lead AI Engineer Experience: 3+ years in AI/ML Location: Gurgaon, work from office About Tap Health: Tap Health is a deep-tech platform that is transforming chronic care management with AI and changing how you access health information. Powered by our proprietary Medical AI model, VaiD, Tap Health is designed to make healthcare accessible to millions. We are developing next-generation Digital Therapeutic products that redefine chronic illness management through AI-driven, hyper-personalized care. Our platform helps users manage conditions such as diabetes, hypertension, PCOS, pregnancy and asthma by delivering daily structured digital therapeutics, lifestyle interventions, personalized nutrition and exercise guidance and real-time monitoring, all without requiring human intervention. Leveraging AI and adaptive algorithms, Tap Health dynamically personalizes each users care journey, delivering enhanced insights, interventions, motivation, adherence and clinical outcomes at a fraction of traditional healthcare costs. Beyond Digital Therapeutics, the Tap Health platform also provides free primary illness diagnosis based on symptoms and instant health advice through a seamless, voice-first experience. www.tap.health Role Overview: Lead AI Engineer We are hiring a full-time Lead AI Engineer in Gurgaon to drive AI-driven healthcare innovations. The ideal candidate has 3+ years of AI/ML experience, 6+ months of GenAI production experience, and 1+ year of hands-on GenAI product development. You need to have a strong data science background and have expertise in GenAI, Agentic AI deployments, causal inference, and Bayesian modeling, with a strong foundation in LLMs and traditional models. You will be collaborating with the AI, Engineering, and Product teams to build scalable, consumer-focused healthcare solutions. As a Lead AI Engineer, you will be the go-to expertthe engineer others turn to when they hit roadblocks. You will mentor, collaborate, and enable high product velocity while fostering a culture of continuous learning and innovation. Skills & Experience The ideal candidate should have the following qualities: Strong understanding of fine-tuning, optimization, and neural architectures. Hands-on experience with Python, PyTorch, and FastAI frameworks. Experience running production workloads on one or more hyperscalers (AWS, GCP, Azure, Oracle, DigitalOcean, etc.). In-depth knowledge of LLMshow they work and their limitations. Ability to assess the advantages of fine-tuning, including dataset selection strategies. Understanding of Agentic AI frameworks, MCPs (Multi-Component Prompting), ACP (Adaptive Control Policies), and autonomous workflows. Familiarity with evaluation metrics for fine-tuned models and industry-specific public benchmarking standards in the healthcare domain. Knowledge of advanced statistical models, reinforcement learning, and Bayesian inference methods. Experience in Causal Inference and Experimentation Science to improve product and marketing outcomes. Proficiency in querying and analyzing diverse datasets from multiple sources to build custom ML and optimization models. Comfortable with code reviews and standard coding practices using Python, Git, Cursor, and CodeRabbit.,

Role and Responsibilities Develop and fine-tune LLMs using techniques like RAG, transfer learning, or domain-specific adaptation Build AI agents using frameworks like LangChain or CrewAI to manage dynamic and multi-step workflows Work with vector databases (e.g., Pinecone) to enable semantic search and retrieval Design and maintain ETL pipelines and ensure smooth data preprocessing and transformation Implement NLP solutions for tasks like intent detection, sentiment analysis, and content generation Develop backend APIs and services using Python frameworks like FastAPI or Flask Contribute to scalable microservice-based architectures Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. 2 to 4 years in AI/ML development and backend system Machine Learning Fundamentals: Strong grasp of algorithms, model training, evaluation, and tuning Generative AI Models: Experience working with LLMs, RAG architecture, and fine-tuning techniques LangChain or Similar Frameworks: Hands-on experience building AI workflows using toolkits like LangChain Natural Language Processing (NLP): Proficiency in text analytics, classification, tokenization, embeddings Vector Databases: Practical use of tools like Pinecone, FAISS, or similar for retrieval-augmented generation Big Data Handling: Ability to work with large datasets, optimize storage, and processing pipelines SQL/NoSQL: Experience in querying and managing structured and unstructured data Python & API Development: Proficiency in Python and frameworks like FastAPI or Flask ETL & Data Preprocessing: Strong understanding of building pipelines for clean and efficient data processing Soft Skills: Strong problem-solving, communication, and collaboration abilities Good-to-Have Skills: Agentic AI Tools: Exposure to CrewAI or similar platforms for orchestrating multi-agent interactions Content Structuring: Experience in clustering, topic modeling, or organizing unstructured data ETL Enhancements: Advanced optimization techniques for faster and more efficient pipelines Domain Exposure: Prior work on projects involving customer insights, chat summarization, or sentiment analysis

3-5 years of experience in ML/AI with at least 1 year in GenAI. Proficiency in Python and ML libraries (e.g., Hugging Face, LangChain, OpenAI). Strong skills in building APIs and deploying AI solutions. Experience in data pipeline development.

Ghrs Training is looking for a talented (Sr.) AI/LLM Engineer to join our team. This role offers an exciting opportunity to work on cutting-edge AI solutions, particularly with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Key Responsibilities: Develop and implement scalable AI solutions using Python. Work extensively with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. Utilize frameworks and libraries such as Transformers and LangChain for AI model development and deployment. Apply strong machine learning skills to design, train, and optimize AI models. Collaborate with cross-functional teams to integrate AI solutions into various products and services. Research and stay updated with the latest advancements in AI, LLMs, and related technologies. About You: Should possess strong machine learning (ML) skills. Should have experience working with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Should be proficient in Python programming for AI development. Should have experience with frameworks like Transformers and LangChain. Should be capable of developing scalable AI solutions.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Lead Consultant, Senio r Data Scientist ! In this role, you will have a strong background in Gen AI implementations, data engineering, developing ETL processes, and utilizing machine learning tools to extract insights and drive business decisions. The Data Scientist will be responsible for analysing large datasets, developing predictive models, and communicating findings to various stakeholders Responsibilities Develop and maintain machine learning models to identify patterns and trends in large datasets. Utilize Gen AI and various LLMs to design & develop production ready use cases. Collaborate with cross-functional teams to identify business problems and develop data-driven solutions. Communicate complex data findings and insights to non-technical stakeholders in a clear and concise manner. Continuously monitor and improve the performance of existing models and processes. Stay up to date with industry trends and advancements in data science and machine learning. Design and implement data models and ETL processes to extract, transform, and load data from various sources. Good hands own experience in AWS bedrock models, Sage maker, Lamda etc Data Exploration & Preparation - Conduct exploratory data analysis and clean large datasets for modeling. Business Strategy & Decision Making - Translate data insights into actionable business strategies. Mentor Junior Data Scientists - Provide guidance and expertise to junior team members. Collaborate with Cross-Functional Teams - Work with engineers, product managers, and stakeholders to align data solutions with business goals. Qualifications we seek in you! Minimum Qualifications Bachelor%27s / Master%27s degree in computer science, Statistics, Mathematics, or a related field. Relevant years of experience in a data science or analytics role. Strong proficiency in SQL and experience with data warehousing and ETL processes. Experience with programming languages such as Python & R is a must. (either one ) Familiarity with machine learning tools and libraries such as Pandas, scikit-learn and AI libraries. Having excellent knowledge in Gen AI, RAG, LLM Models & strong understanding of prompt engineering. Proficiency in Az Open AI & AWS Sagemaker implementation. Good understanding statistical techniques such and advanced machine learning Experience with data warehousing and ETL processes. Proficiency in SQL and database management. Familiarity with cloud-based data platforms such as AWS, Azure, or Google Cloud. Experience with Azure ML Studio is desirable. Knowledge of different machine learning algorithms and their applications. Familiarity with data preprocessing and feature engineering techniques. Preferred Qualifications/ Skills Experience with model evaluation and performance metrics. Understanding of deep learning and neural networks is a plus. Certified in AWS Machine learning , AWS Infra engineer is a plus Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Job Title: Data Engineer & Gen AI Engineer Project Duration- 6 months Exp- 4-7 yrs Location : Bangalore (Hybrid) Budget : upto 19 LPA Required Skills & Qualifications: python, Lang chain, Azure Databricks, data quality, PySpark, SQL, & Delta Lake

About us Exotel is one of Asias largest cloud telephony companies. Our aim is to change the way enterprises look at customer communication. We build the best-in-class communication products that power the companies of today and tomorrow. Our technology enables customer communication for our clients such as Uber, Ola, Go-Jek, ICICI, IDFC, Redbus, Flipkart, Quikr, Practo, Lazada, Redmart, etc. to name a few. We are a 9-year-old company with humble beginnings. We started as a 3-member team. Currently, we are a 120-member team catering to over 3000 customers across the globe. Our technology has connected over 400 million people across the world and powered over 10 billion conversations. Read our growth story here. Tech @ Exotel Exotel Engineering solves some really cool infrastructure-level problems with the goal of ensuring no one misses a call or an SMS. Our focus is on building a very fault-tolerant, loosely coupled, scalable and real-time distributed system We are generally agnostic of language, technology or tools. Currently, our tech stack is built on Golang, Node.js, Ruby, Java and PHP. We use Aerospike, and MySQL as data stores, ElasticSearch for search and Beanstalkd for queuing We emphasize a lot on clean abstractions of code, loosely coupled services and good coding practices We are very strong believers in "you built it, you own it!". And running a distributed system is very different from just building one! We are crazy about high availability What are we looking for? We are looking for candidates with strong programming skills, and a strong understanding of computer/distributed systems. We want people who love designing and building infrastructure components and large complex services. Being a Software Engineer at Exotel takes a bit more than the following Must-haves Bachelor's or Master's degree in computer science or equivalent. Experience working with major cloud solutions AWS (preferred), Azure, and GCP. Familiarity with 3-Tier, microservices architecture and distributed systems Experience with the design & development of RESTful services Experience with developing Linux-based applications, networking and scripting. Experience with different data stores, data modelling and scaling them Familiarity with data stores such as Aerospike, MySQL, Mongo-db etc. 3 to 5 years of experience with Python, Gen AI, Agentic AI, building dedicated chatbots, RAG, LLMs Good understanding of data structures, multi-threading and concurrency concepts. Experience with DevOps tools like Jenkins, Ansible, Kubernetes, Git is a plus. Familiarity with elasticsearch queries and visualization tools like grafana, kibana Strong networking fundamentals: Firewalls, Proxies, DNS, Loadbalancing, etc. Strong analytical and problem-solving skills. Excellent written and verbal communication skills. Team player, flexible, and able to work in a fast-paced environment. A "devops" mindset. You own what you will develop. Other expectations: Willingness to explore and learn new technologies on the Job Take end-to-end ownership of software development lifecycle in a DevOps as a culture setting: Design, Development, Deployment and Monitoring Independently deliver software work products by working with stakeholders(PMs, Architects and team leads)

We are urgently looking for an experienced Generative AI Trainer to join our institute and drive excellence in training. Require solid expertise in AI/ML, NLP, and Generative AI (LLMs, LangChain, Transformers, RAG, etc) Send CV at rathij91@gmail.com Required Candidate profile Conduct online & offline classes. Provide proxy interviews & technical support to help students get placed. Prepare assessments, track performance & guide for certifications.

Hiring a Senior GenAI Engineer with 7-12 years of experience in Python, Machine Learning, and Large Language Models (LLMs) for a 6-month engagement based in Gurugram This hands-on role involves building intelligent systems using Langchain and RAG, developing agent workflows, and defining technical roadmaps The ideal candidate will be proficient in LLM architecture, prompt engineering, vector databases, and cloud platforms (AWS, Azure, GCP) The position demands strong collaboration skills, a system design mindset, and a focus on production-grade AI/ML solutions

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 2 - 6 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

We Advantum Health Pvt. Ltd - US Healthcare MNC looking for Senior AI/ML Engineer. We Advantum Health Private Limited is a leading RCM and Medical Coding company, operating since 2013. Our Head Office is located in Hyderabad, with branch operations in Chennai and Noida. We are proud to be a Great Place to Work certified organization and a recipient of the Telangana Best Employer Award. Our office spans 35,000 sq. ft. in Cyber Gateway, Hitech City, Hyderabad Job Title: Senior AI/ML Engineer Location: Hitech City, Hyderabad, India Work from office Ph: 9177078628, 7382307530, 9059683624 Address: Advantum Health Private Limited, Cyber gateway, Block C, 4th floor Hitech City, Hyderabad. Location: https://www.google.com/maps/place/Advantum+Health+India/@17.4469674,78.3747158,289m/data=!3m2!1e3!5s0x3bcb93e01f1bbe71:0x694a7f60f2062a1!4m6!3m5!1s0x3bcb930059ea66d1:0x5f2dcd85862cf8be!8m2!3d17.4467126!4d78.3767566!16s%2Fg%2F11whflplxg?entry=ttu&g_ep=EgoyMDI1MDMxNi4wIKXMDSoASAFQAw%3D%3D Job Summary: We are seeking an experienced and innovative AI Technical Lead to drive the design, development, and deployment of AI-powered solutions across our organization. You will be responsible for leading a team of machine learning engineers, data scientists, and software developers, while collaborating with cross-functional teams to build scalable and intelligent products. Your role will blend hands-on technical expertise with leadership and strategic thinking Key Responsibilities: Lead the end-to-end technical delivery of AI/ML projects, from data ingestion to model deployment. Design robust machine learning and deep learning models tailored to business needs. Collaborate with product managers, stakeholders, and engineering teams to identify opportunities for AI applications. Guide and mentor AI/ML engineers and developers; provide architectural and technical direction. Establish best practices for model training, validation, versioning, and monitoring. Ensure scalability, performance, and security of AI solutions in production environments. Stay up to date with the latest AI trends, tools, and research; apply innovations where appropriate. Review and approve technical design documents, code, and model performance metrics. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 5+ years of experience in software development, with at least 2+ years in leading AI/ML teams or projects. Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience deploying models in production using platforms like AWS SageMaker, Azure ML, or Google Vertex AI. Solid understanding of data structures, algorithms, and software design principles. Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow). Excellent communication skills with the ability to articulate complex concepts to non-technical stakeholders. Preferred Qualifications: Experience with LLMs, generative AI, or computer vision. Background in big data technologies (e.g., Spark, Hadoop). Published research or contributions to open-source AI projects. Experience in regulated industries (e.g., healthcare, finance) is a plus. Follow us on LinkedIn, Facebook, Instagram, Youtube and Threads for all updates: Advantum Health Linkedin Page: https://www.linkedin.com/showcase/advantum-health-india/ Advantum Health Facebook Page: https://www.facebook.com/profile.php?id=61564435551477 Advantum Health Instagram Page: https://www.instagram.com/reel/DCXISlIO2os/?igsh=dHd3czVtc3Fyb2hk Advantum Health India Youtube link: https://youtube.com/@advantumhealthindia-rcmandcodi?si=265M1T2IF0gF-oF1 Advantum Health Threads link: https://www.threads.net/@advantum.health.india HR Dept, Advantum Health Pvt Ltd Cybergateway, Block C, Hitech City, Hyderabad Ph: 9177078628, 7382307530, 9059683624

Role Overview: We are looking for a ML/AI Gen AI Expert with 4-7 years of experience for executing AI/GenAI use cases as POCs . Media domain experience (OTT, DTH, Web) is a plus. Key Responsibilities: Identify, define, and deliver AI/ML and GenAI use cases in collaboration with business and technical stakeholders. Design, develop, and deploy models (ML and GenAI) using Google Clouds Vertex AI platform. Fine-tune and evaluate LLMs for domain-specific applications, ensuring responsible AI practices. Collaborate with data engineers and architects to ensure robust, scalable, and secure data pipelines feeding ML models. Document solutions, workflows, and experiments to support reproducibility, transparency, and handover readiness. Core Skills: Strong foundation in machine learning and deep learning, including supervised, unsupervised, and reinforcement learning. Hands-on experience with Vertex AI, including AutoML, Pipelines, Model Registry, and Generative AI Studio. Experience with LLMs and GenAI workflows, including prompt engineering, tuning, and evaluation. Python and ML frameworks proficiency (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers). Strong collaboration and communication skills to work cross-functionally with data, product, and business teams. Technical Skills: Vertex AI on Google Cloud Model training, deployment, endpoint management, and MLOps tooling. GenAI tools and APIs Hands-on with PaLM, Gemini, or other large language models via Vertex AI or open source. Python Proficient in scripting ML pipelines, data preprocessing, and model evaluation. ML/GenAI Libraries scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain. Cloud & DevOps Experience with GCP services (BigQuery, Cloud Functions, Cloud Storage), CI/CD for ML, and containerization (Docker/Kubernetes) Experience in the media domain (OTT, DTH, Web) and handling large-scale media datasets. Immediate Joiners.

We are looking for Immediate Joiner for below position AI Engineer Exp 4 to 6 Location -Pune Primary Skill – Python Design and build AI-powered applications such as intelligent agents, chatbots, and domain-specific copilots using LLMs. Work with LLMs (OpenAI, Cohere, Hugging Face, etc.) and integrate them via APIs or custom pipelines. Create semantic search experiences using embedding generation and chunking strategies for enterprise documents. Implement RAG (Retrieval-Augmented Generation) pipelines using Vector Databases like Pinecone , Weaviate , FAISS , or Chroma . Build and expose REST APIs using FastAPI , Flask , or Django , integrating LLM and retrieval components. Manage and optimize backend systems using PostgreSQL , MongoDB , and Redis . Collaborate with AI/ML engineers, data engineers, and product teams to translate BFSI requirements into working solutions. Apply best practices in API security, caching, observability, and scaling for AI apps. Required Skills & Experience: 4–6 years of backend development experience with Python 3.x . Proficiency with web frameworks like FastAPI , Django , or Flask . Strong experience with PostgreSQL , MongoDB , and Redis . Solid understanding of LLM-based applications – prompt engineering, chat workflows, and model fine-tuning/inference (preferred). Experience with creating embeddings , chunking text, and building semantic search pipelines. Familiarity with Vector DBs like Pinecone , Weaviate , Chroma , or FAISS . Ability to implement or contribute to RAG pipelines . Experience with API integration and orchestration for hybrid AI systems. Good understanding of version control (Git) and containerization using Docker . Nice to Have: Prior experience delivering AI/ML or chatbot solutions for BFSI use cases. Exposure to tools like LangChain , Haystack , or LlamaIndex . Working knowledge of cloud platforms (AWS/GCP/Azure) and AI-specific services. Familiarity with CI/CD pipelines and DevOps processes.

About the Role We are seeking a Generative AI Engineer with 69 years of experience who can independently explore, prototype, and present the art of the possible using LLMs, agentic frameworks, and emerging Gen AI techniques. This role combines deep technical hands-on development with non-technical influence and presentation skills. You will contribute to key Gen AI innovation initiatives, help define new protocols (like MCP and A2A) and deliver fully functional prototypes that push the boundaries of enterprise AI not just in Jupyter notebooks, but as real applications ready for production exploration. Key Responsibilities LLM Applications Agentic Frameworks Design and implement end-to-end LLM applications using OpenAI, Claude, Mistral, Gemini, or LLaMA on AWS, Databricks, Azure or GCP. Build intelligent, autonomous agents using LangGraph, AutoGen, LlamaIndex, Crew.ai, or custom frameworks. Develop Multi Model, Multi Agent, Retrieval-Augmented Generation (RAG) applications with secure context embedding and tracing with reports. Rapidly explore and showcase the art of the possible through functional, demonstrable POCs Advanced AI Experimentation Fine-tune LLMs and Small Language Models (SLMs) for domain-specific use. Create and leverage synthetic datasets to simulate edge cases and scale training. Evaluate agents using custom agent evaluation frameworks (success rates, latency, reliability) Evaluate emerging agent communication standards A2A (Agent-to-Agent) and MCP (Model Context Protocol) Business Alignment Cross-Team Collaboration Translate ambiguous requirements into structured, AI-enabled solutions. Clearly communicate and present ideas, outcomes, and system behaviors to technical and non-technical stakeholders Good-To-Have Microsoft Copilot Studio DevRev Codium Cursor Atlassian AI Databricks Mosaic AI Qualifications 6-9 years of experience in software development or AI/ML engineering At least 3 years working with LLMs, GenAI applications, or agentic frameworks. Proficient in AI/ML, MLOps concepts, Python, embeddings, prompt engineering, and model orchestration Proven track record of developing functional AI prototypes beyond notebooks. Strong presentation and storytelling skills to clearly convey GenAI concepts and value. Ability to independently drive AI experiments from Location: Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Role Overview: We are looking for a Lead Data Scientist / AI Solution Architect to join our growing AI & Data team. The ideal candidate will have hands-on experience designing and deploying AI/ML solutions with Azure Cloud , LLMOps , Containerized environments , and Generative AI technologies. This is an onsite role based in Pune , offering you the opportunity to collaborate closely with cross-functional teams on impactful projects. Key Responsibilities: Architect and implement end-to-end AI/ML solutions using Azure AI/ML services Lead the design and development of LLMOps pipelines for deploying and managing large language models (LLMs) Work with containerized deployments using Docker and orchestration tools like Kubernetes Integrate and fine-tune Generative AI models for various real-world applications (text, vision, conversation, etc.) Collaborate with data engineers, product teams, and business stakeholders to deliver scalable AI systems Drive model monitoring, versioning, and responsible AI practices Document technical architecture, decision-making, and knowledge transfer Required Skills & Qualifications: 5 to 7 years of experience in Data Science / AI / ML solution development Strong hands-on experience with Azure AI services (ML Studio, Azure OpenAI, AI Foundry etc.) Experience working with LLMs , prompt engineering, and fine-tuning techniques Proven experience with containerized environments (Docker, Kubernetes) Strong programming skills in Python with relevant ML/AI libraries (TensorFlow, PyTorch, Transformers, etc.) Solid understanding of LLMOps/MLOps lifecycle and best practices Excellent communication, stakeholder management, and team collaboration skills Must Have: Hands-On LangChain, Hugging Face APIs, or Azure OpenAI APIs Strong knowledge of Azure Cognitive Services, Machine Learning Studio, Azure AI Search, AI Foundry Strong Knowledge of basic hygiene principles Git, Clean Code, Unit Testing, Jira, DevOps etc. Good to Have: Experience with Databricks Familiarity with Azure CI/CD pipelines Prior experience working in a startup or fast-paced product environmentRole & responsibilities