1044 Llm Jobs - Page 15

About the Role We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and implementation of robust and scalable pipelines and backend systems for our Generative AI applications. In this role, you will be responsible for orchestrating the flow of data, integrating AI services, developing RAG pipelines, working with LLMs, and ensuring the smooth operation of the backend infrastructure that powers our Generative AI solutions. You will also be expected to apply modern LLMOps practices, handle schema-constrained generation, optimize cost and latency trade-offs, mitigate hallucinations, and ensure robust safety, personalization, and observability across GenAI systems. Responsibilities Generative AI Pipeline Development Design and implement scalable and modular pipelines for data ingestion, transformation, and orchestration across GenAI workloads. Manage data and model flow across LLMs, embedding services, vector stores, SQL sources, and APIs. Build CI/CD pipelines with integrated prompt regression testing and version control. Use orchestration frameworks like LangChain or LangGraph for tool routing and multi-hop workflows. Monitor system performance using tools like Langfuse or Prometheus. Data and Document Ingestion Develop systems to ingest unstructured (PDF, OCR) and structured (SQL, APIs) data. Apply preprocessing pipelines for text, images, and code. Ensure data integrity, format consistency, and security across sources. AI Service Integration Integrate external and internal LLM APIs (OpenAI, Claude, Mistral, Qwen, etc.). Build internal APIs for smooth backend-AI communication. Optimize performance through fallback routing to classical or smaller models based on latency or cost budgets. Use schema-constrained prompting and output filters to suppress hallucinations and maintain factual accuracy. Retrieval-Augmented Generation (RAG) Pipelines Build hybrid RAG pipelines using vector similarity (FAISS/Qdrant) and structured data (SQL/API). Design custom retrieval strategies for multi-modal or multi-source documents. Apply post-retrieval ranking using DPO or feedback-based techniques. Improve contextual relevance through re-ranking, chunk merging, and scoring logic. LLM Integration and Optimization Manage prompt engineering, model interaction, and tuning workflows. Implement LLMOps best practices: prompt versioning, output validation, caching (KV store), and fallback design. Optimize generation using temperature tuning, token limits, and speculative decoding. Integrate observability and cost-monitoring into LLM workflows. Backend Services Ownership Design and maintain scalable backend services supporting GenAI applications. Implement monitoring, logging, and performance tracing. Build RBAC (Role-Based Access Control) and multi-tenant personalization. Support containerization (Docker, Kubernetes) and autoscaling infrastructure for production. Required Skills and Qualifications Education Bachelors or Masters in Computer Science, Artificial Intelligence, Machine Learning, or related field. Experience 5+ years of experience in AI/ML engineering with end-to-end pipeline development. Hands-on experience building and deploying LLM/RAG systems in production. Strong experience with public cloud platforms (AWS, Azure, or GCP). Technical Skills Proficient in Python and libraries such as Transformers, SentenceTransformers, PyTorch. Deep understanding of GenAI infrastructure, LLM APIs, and toolchains like LangChain/LangGraph. Experience with RESTful API development and version control using Git. Knowledge of vector DBs (Qdrant, FAISS, Weaviate) and similarity-based retrieval. Familiarity with Docker, Kubernetes, and scalable microservice design. Experience with observability tools like Prometheus, Grafana, or Langfuse. Generative AI Specific Skills Knowledge of LLMs, VAEs, Diffusion Models, GANs. Experience building structured + unstructured RAG pipelines. Prompt engineering with safety controls, schema enforcement, and hallucination mitigation. Experience with prompt testing, caching strategies, output filtering, and fallback logic. Familiarity with DPO, RLHF, or other feedback-based fine-tuning methods. Soft Skills Strong analytical, problem-solving, and debugging skills. Excellent collaboration with cross-functional teams: product, QA, and DevOps. Ability to work in fast-paced, agile environments and deliver production-grade solutions. Clear communication and strong documentation practices. Preferred Qualifications Experience with OCR, document parsing, and layout-aware chunking. Hands-on with MLOps and LLMOps tools for Generative AI. Contributions to open-source GenAI or AI infrastructure projects. Knowledge of GenAI governance, ethical deployment, and usage controls. Experience with hallucination suppression frameworks like Guardrails.ai, Rebuff, or Constitutional AI. Shift Time: 2:30 PM to 11:30 PM IST Location-Remote,Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Gen Ai engineer, Python, Sql, Gen AI, LLM,RAG Immediate position Walk IN 13th Saturday Hyd /BLR Call -8522016118

Key Responsibilities: Develop and maintain business-critical applications using C#, .NET Core, and Entity Framework Build scalable solutions using microservices architecture Integrate cutting-edge AI technologies including MCP, A2A (Agent to Agent), and LLMs Create communication interfaces using MQTT, OPC, SignalR, Sockets , etc. Collaborate in an Agile environment using VSTS and modern DevOps practices Ensure code quality and performance optimization in a collaborative team setting Must-Have Skills: Hands-on experience with LLMs and integration with trending AI technologies (MCP, A2A) Proficiency in .NET Core , C# , and Entity Framework Strong understanding of microservices-based development Nice-to-Have: Front-end experience with React and ASP.NET Familiarity with OData , JSON , Git , TFS , etc.

Skill 1: Python with AI ML / LLM Experience – 5 to 14 Years Work Location: Bangalore Interview Process and Work Model Interview Process: 2 Technical(Hacker Rank ), HR Work Model: Hybrid - 3 Days vidyadhar@akshayaitsolutions.com Contact : 9154802577

Key Responsibilities: Generative AI Systems Design : Architect scalable, high-performance applications powered by Generative AI models (e.g., LLMs, diffusion models), with a focus on real-world usability and business integration. Prompt Engineering & RAG Pipelines : Design and implement optimized prompt strategies and Retrieval-Augmented Generation (RAG) workflows using LangChain and similar frameworks. Agentic AI & Autonomous Workflows : Develop and manage intelligent agents capable of multi-step reasoning, planning, and decision-making using frameworks like LangChain Agents or custom implementations. Vector Store Integration : Design and integrate vector databases for semantic search and document retrieval in GenAI workflows. End-to-End AI Application Development : Build and deploy AI-driven applications from scratch using Python and modern ML/AI toolkits. Ensure clean integration with APIs, databases, and frontend services. Microservices & API Development : Create modular, maintainable backend services using microservices architecture. Ensure RESTful APIs for smooth communication. CI/CD & DevOps : Develop and maintain CI/CD pipelines for model and app deployment. Ensure reproducibility, automated testing, and smooth rollout using tools like GitHub Actions, GitLab CI/CD, or Jenkins. Database Management : Use PostgreSQL and NoSQL databases effectively in storing structured and unstructured data, with focus on performance, indexing, and scaling. Performance Optimization : Continuously monitor, benchmark, and optimize applications for performance, scalability, and cost-efficiency across cloud and on-prem environments. Collaboration & Mentorship : Work closely with product managers, AI researchers, and junior developers. Lead by example and provide technical mentorship in AI system design and production-readiness. Required Qualifications: Technical Expertise : Strong proficiency in Python (mandatory) and experience with AI/ML libraries like FastAI , Hugging Face Transformers, and OpenAI APIs. Experience implementing LangChain workflows, prompt chaining, agents, tools, and memory systems. Hands-on experience building RAG systems using vector DBs like FAISS, Pinecone, Weaviate , or Chroma . Solid understanding of Generative AI technologies (LLMs, image/video generation, embeddings). Working knowledge of Agentic AI concepts for building autonomous tools and applications. Backend & Architecture : Strong skills in system design , API development, and microservices-based backend architecture. Experience with PostgreSQL and NoSQL databases (e.g., MongoDB, DynamoDB). Cloud & DevOps : Familiarity with CI/CD pipelines , containerization (Docker), and cloud deployments (AWS/GCP/Azure). Git-based version control and collaborative development workflows. Communication & Leadership : Ability to translate AI research into production-ready applications. Strong collaboration skills and experience leading engineering efforts or mentoring peers. Preferred (Nice to Have): Experience working with LLMOps tools Exposure to data labeling, fine-tuning , or custom LLM training . Familiarity with streaming architectures or real-time AI inference . Location- Pune, Baner Client Office Work Mode- Hybrid ( 3 days a week) Payments Domain is Mandatory

Job Title : AI/ML Lead - AI Build Plan and Investment Location : Hyderabad Experience : 10-12 years Job Description : We are seeking a highly skilled and experienced AI/ML Lead to spearhead the development and execution of our AI build plan and investment strategy. The ideal candidate will possess a deep understanding of AI/ML technologies, strong leadership abilities, and a proven track record of delivering successful AI initiatives. Responsibilities : AI Build Plan Development : - Conduct in-depth analysis of business requirements and identify AI/ML opportunities to drive growth and efficiency. - Develop a comprehensive AI build plan outlining strategic objectives, technology roadmap, and resource allocation. - Prioritize AI initiatives based on business impact, feasibility, and ROI. - Collaborate with cross-functional teams to align AI strategy with overall business goals. AI Investment Strategy : - Define AI investment criteria and evaluate potential AI projects for funding. - Develop financial models to assess the ROI of AI initiatives and justify investments. - Manage AI budget allocation and track spending against the approved plan. AI Team Leadership : - Build and lead a high-performing AI team of data scientists, machine learning engineers, and other AI professionals. - Provide technical guidance and mentorship to team members. - Foster a culture of innovation and experimentation within the AI team. AI Model Development and Deployment : - Oversee the development and deployment of AI models across various business domains. - Ensure the quality, accuracy, and scalability of AI models. - Monitor model performance and implement necessary improvements. Technology Evaluation and Adoption : - Stay up-to-date with the latest advancements in AI/ML technologies. - Evaluate new AI tools and platforms to identify potential benefits for the organization. - Drive the adoption of AI technologies across the enterprise. Required Qualifications : - Strong proficiency in Python, C++, and deep learning frameworks (Keras, TensorFlow, PyTorch, etc.) - Extensive experience in machine learning algorithms (CNNs, RNNs, LSTMs, Seq2seq) and neural network architectures. - Proven ability to create and optimize AI models for various use cases. - Deep understanding of performance and accuracy metrics for different AI models. - Experience with AI model optimization for CPUs and GPUs. - Knowledge of machine learning accelerators and related software. - Excellent communication and interpersonal skills. - Strong analytical and problem-solving abilities. - Experience with open-source tools for AI model optimization (TF/ONNX/PyTorch). - Exposure to GenAI technologies and their potential applications. Preferred Qualifications : - Experience in leading AI projects from inception to deployment. - Knowledge of cloud platforms (AWS, Azure, GCP). - Experience with big data technologies and tools. - A Master's or Ph.D. degree in computer science, statistics, or a related field.

About the Role: We are seeking a highly skilled and passionate Senior Data Scientist to join our growing AI/ML team. In this role, you will play a crucial part in developing cutting-edge AI solutions within the healthcare domain. You will focus on building and refining sophisticated Large Language Models (LLMs) to address critical challenges and improve healthcare outcomes. Key Responsibilities : - Develop and refine LLMs tailored for specific healthcare applications (e.g. , medical diagnosis, drug discovery, patient care). - Design and implement robust data pipelines for collecting, cleaning, and preparing high-quality healthcare datasets for LLM training. - Conduct thorough experimentation with different LLM architectures, hyperparameters, and training techniques. - Fine-tune pre-trained LLMs on specific healthcare tasks and datasets. - Implement techniques for improving LLM performance, such as prompt engineering, few-shot learning, and reinforcement learning. - Develop and implement rigorous evaluation metrics to assess the performance of LLMs on various healthcare tasks. - Conduct thorough model validation and testing to ensure accuracy, reliability, and safety. - Monitor model performance in production and identify areas for improvement. - Stay abreast of the latest advancements in LLM research and development. - Explore and implement cutting-edge techniques in natural language processing (NLP) and machine learning. - Conduct research and development on novel applications of LLMs in the healthcare domain. - Collaborate effectively with data engineers, clinicians, researchers, and other stakeholders. - Clearly communicate complex technical concepts to both technical and non-technical audiences. - Present research findings and project updates to team members and stakeholders. Qualifications : Essential : - Master's or Ph.D in Computer Science, Artificial Intelligence, Machine Learning, or a related field. - 3+ years of experience in developing and deploying machine learning models, with a strong focus on NLP and deep learning. - Proven experience in building and fine-tuning large language models. - Strong proficiency in Python and experience with deep learning frameworks (e.g. , TensorFlow, PyTorch). - Experience with data preprocessing, feature engineering, and model evaluation techniques. - Excellent analytical and problem-solving skills. - Strong communication and interpersonal skills

Read the description below and use the Google Form link at the bottom of the page to submit your application. TNQ is looking for Prompt Engineers to work with large language models (LLMs). Their role will be to help them craft effective prompts that guide the AI to produce useful, accurate, and clear outputs. Candidate should have: Educational Qualification: Any UG/PG with Science background - Year of graduation 2025 ONLY Excellent written English (grammar, clarity, tone, flow) Ability to explain or rewrite content clearly Analytical thinking to troubleshoot and optimize prompts Interest in AI tools and how they respond to language Responsibilities: Design and refine prompts for a variety of content generation and analysis tasks Collaborate with technical and non-technical teams to understand task requirements Evaluate outputs from LLMs and recommend prompt improvements Assist in documenting prompt formats, examples, and best practices Stay current with trends and updates in generative AI capabilities Click this link to apply: https://forms.gle/GSpnomZEQQcatif58

Data Scientist Gen AI & Agentic AI Experience: 2+ Years Location: Jaipur (WFO) Employment Type: Full-time About the Role: We are looking for a highly motivated Data Scientist with experience in Generative AI , Agentic AI , and a strong consulting mindset. This is a client-facing role that blends deep technical expertise with the ability to understand and solve business problems through cutting-edge AI technologies. Youll be part of a forward-thinking team working on impactful projects in AI transformation across industries. Key Responsibilities: Design, develop, and deploy AI/ML solutions with a focus on Generative AI (e.g., LLMs, prompt engineering) and Agentic AI frameworks . Collaborate with clients and internal stakeholders to understand business needs and translate them into AI solutions. Prototype and implement intelligent agent-based systems for automation, decision-making, and conversational interfaces. Build proof-of-concepts (POCs), MVPs, and production-ready solutions in real-world business environments. Work on data preparation, model fine-tuning, and evaluation of large language models (LLMs). Present insights, solutions, and progress to clients in a clear and consultative manner. Stay current with AI trends and contribute to internal knowledge-sharing and innovation. Required Qualifications: 2+ years of experience in Data Science, with hands-on exposure to Generative AI and LLMs (e.g., OpenAI, Cohere, Hugging Face). Experience with Agentic AI concepts or frameworks like LangChain, AutoGen, CrewAI, or similar. Strong Python programming skills and familiarity with ML/DL frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Consulting or client-facing experience with the ability to translate business needs into technical requirements. Good understanding of NLP, prompt engineering, and conversational AI workflows. Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or related fields. Preferred Qualifications: Experience in building AI solutions for enterprise clients. Familiarity with MLOps and deploying models to production. Prior experience with cloud platforms (AWS, Azure, or GCP). Knowledge of vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG) techniques. What We Offer: Exciting projects at the intersection of AI, automation, and enterprise transformation. A collaborative and fast-paced environment focused on innovation. Opportunities for continuous learning and professional growth. Flexible working model with Jaipur as the base location. If this sounds like you, we'd love to connect! Apply now to chaity.mukherjee@celebaltech.com to be part of our innovative team.

Responsibilities: * Collaborate with cross-functional teams on data science projects * Ensure code quality through testing and documentation * Develop scalable Python applications using Vector DB and LLM techniques

About us- We are a California based business and IT consulting firm founded in 2013. Our head office is in Dublin, CA, and our Global Delivery Centre is in Noida & Bangalore, India. Over the last eleven years, we have managed over a thousand solution engagements where we helped our clients transform their businesses through better analytics, organizational process changes, and cloud CRM solutions. We have worked with companies of all sizes and types, including Start-Ups, Fortune 100, and government agencies. Over 80% of our business comes from our existing customers. We provide business and technology solutions using big data and cloud technologies, including Salesforce.com, Microsoft Dynamics, Marketo, and other platforms. Our business solutions include business modeling/business architecture and business analytics services for sales, marketing, human resources, and customer service areas. We provide implementation services for cloud CRMs (Salesforce.com and Microsoft Dynamics) and development services for Force.com and .Net platforms. We also set up business intelligence solutions for both traditional and big data technologies. We use the distributed agile delivery model for our development and configuration projects. Our U.S. Team executes product discovery, business, and technical architecture, user experience design, and project management. Our Offshore Team focuses on the development, testing, and configuration. URL - https://www.mirketa.com/ Job Title: Software Engineer Experience 3+ years Location: Noida Work mode - Hybrid If you crave impact and live for the edge of what's possible in enterprise AI, join us to redefine the world of support engineering. You Bring 3+ years experience developing large-scale applications in cloud production environments (AWS, GCP, Azure, or private cloud). Strong programming skills in Python (preferred), or other OOP ( e.g. Java/C++). Familiarity with NoSQL DBs, Message Queues, Vector DBs, API servers, Jupyter Notebooks. Preferably, a good understanding of different stages of complex ML/AI solutions (search and recommendation systems): data science, distributed data pipelines, LLM orchestration. Knowledge of docker, Kubernetes, telemetry (OTLP, Grafana, Prometheus) would be a plus. Excellent problem-solving skills. Ability to find creative solutions to real-world problems and take end-to-end ownership of building and shipping. Thrive in fast-paced development cycles for full-stack solutions. A customer-obsessed mindset. Expect Novel challenges and the opportunity to re-invent and simplify complex systems. A fast-paced environment where a bias for action and ownership are paramount. To strive for the highest standards and think big, delivering groundbreaking solutions. We offer: A chance to define the future of AI in the enterprise. Recognition and opportunity for significant equity and growth with the company. Competitive compensation and benefits. What we value Customer obsession: Always starting with the customer and working backward. Ownership and Long-term thinking: Taking initiative to solve problems in scalable and extensible ways. Pride in Craftsmanship: Attention to detail is as much as building reliable, maintainable, and secure systems that scale. Continuous Learning: Curiosity, and the desire to raise the performance bar Trust, Respect, and Care: Earning trust and care for everyone we work with.

We are hiring Data Scientists (3-5 yrs)/ Senior Data Scientist (5 - 8 yrs)/ with strong programming skills in Python and exposure in Classical ML/ GenAi/LLM/NLP/Pricing for Tredence Analytics. Job location: Pune/Kolkata/Hyderabad/Bangalore/Gurgaon/Chennai About Tredence: Tredence is a global data science solutions provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. The aim is to bridge the gap between insight delivery and value realization by providing customers with a differentiated approach to data and analytics through tailor-made solutions. Tredence is 2,500-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toranto, and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients. As we complete 10 years of Tredence this year, we are on the cusp of an ambitious and exciting phase of expansion and growth. Tredence recently closed a USD 175 million Series B funding, which will help us build on growth momentum, strengthen vertical capabilities, and reach a broader customer base. Apart from our geographic footprint in the US, Canada & UK, we plan to open offices in few tier 2 cities in India. In 2024, we also plan to hire more than 1000 employees across markets. Tredence is a Great Place to Work(GPTW) certified company that values its employees and creates a positive work culture by providing opportunities for professional development and promoting work-life balance. At Tredence, nothing is impossible; we believe in pushing ourselves to limitless possibilities and staying true to our tagline, Beyond Possible

:Mandatory Skills: 1. 5+ Years of experience in the design & development of state-of-the-art language models; utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. 2. Deep understanding of language models and a strong proficiency in designing and implementing RAG-based workflows to enhance content generation and information retrieval. 3. Experience in building, customizing and fine-tuning LLMs via OpenAI studio extended through Azure OpenAI cognitive services for rapid PoCs 4. Proven track record of successfully deploying and optimizing LLM models in the cloud (AWS, Azure, or GCP) for inference in production environments and proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. 5. Apply prompt engineering techniques to design refined and contextually relevant prompts for language models. 6. Monitor and analyze the performance of LLMs by experimenting with various prompts, evaluating results, and refining strategies accordingly. 7. Building customizable, conversable AI agents for complex tasks using CrewAI and LangGraph to enhance Gen AI solutions 8. Proficient in MCP (Model Context Protocol) for optimizing context-aware AI model performance and integration is a plus Location - Mumbai , Pune, Bangalore, Chennai and Noida

Overview Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world, access to the very best data, content, and insights. In turn, improving how sports fans interact with their favorite sports teams and competitions. How do they use it? Media outlets add a little magic to their coverage with our stats and graphics packages. Sportsbooks can offer better predictions and more accurate odds. The world's top coaches are known to use our data to make critical team decisions. Sports commentators can engage with fans on a deeper level, using our stories and insights. Anywhere you find sport, Stats Perform is there. However, data and tech are only half of the package. We need great people to fuel the engine. We succeeded thanks to a team of amazing people. They spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience! Our teams of technical experts specialize in harnessing live sporting data, using advanced cloud technologies, Java, JavaScript and Python. It is these tech teams that enable us to extract patterns through AI and Machine Learning and deliver our insights via APIs. In short, they turn complex data into magical experiences with cutting-edge technology. Responsibilities: We are on the hunt for a Senior QA Engineer who doesnt just test but builds testing systems that push the boundaries of automation, innovation, and intelligence. If you have over 6 years of experience , a strong foundation in Python-based automation , and a keen interest in applying AI/ML to quality assurance , then you might just be our next game-changer. In this role, youll lead cutting-edge proof-of-concept projects , shape the next-gen QA automation strategy , and work alongside a diverse, cross-functional team. We love thinkers, tinkerers, and those who never stop asking: “What else can we do better?” What will you do- Automate Everything : Design, develop, and scale Python-based automation frameworks (web, API, data validation). Innovate with AI : Lead experiments using AI/ML (self-healing tests, test summarization, bug prediction) and integrate successful models into the QA ecosystem. Drive Quality : Own the quality bar across projects by applying functional, integration, system, regression, and exploratory testing practices. Collaborate Broadly : Engage with product, data science, DevOps, and engineering teams globally to create high-quality, reliable releases. Modernize QA : Introduce and advocate for open-source tools, GenAI copilots, and prompt-based automation across test suites. Desired Qualifications: 6+ years in QA with a focus on automation, Python as primary language. Comfortable with tools like GitHub Copilot, Cursor, or other productivity copilots . Experience building scalable automation frameworks from scratch (Playwright, Selenium, Pytest). Strong understanding of QA fundamentals—test design, defect lifecycle, requirements analysis. Hands-on experience in AI/ML with a mindset to explore more. Experience in API testing (REST Assured, Postman) and SQL-based data validations. CI/CD tools exposure (Jenkins, GitHub Actions, GitLab CI). Knowledge of Docker/Kubernetes and cloud platforms (AWS/GCP) is a plus. Nice-to-Haves Exposure to AI-based test generation or test maintenance tools Familiarity with performance, security, or visual regression testing. Experience with BDD (pytest-bdd, Behave) and exploratory testing techniques. Contribution to open-source QA tools or innovation platforms. Why Join our team Innovation Playground : Lead AI/ML PoCs that redefine how testing works. Global Collaboration : Work with passionate teams across continents—share ideas, exchange knowledge, grow together. Freedom to Experiment : Bring your wildest ideas to life—we encourage exploration! Clear Impact : Your work directly shapes product quality, stability, and innovation velocity. Culture of Growth : Flexible working, modern stack, continuous learning support, and a team that celebrates curious minds. Why work at Stats Perform? We love sports, but we love diverse thinking more! We know that diversity brings creativity, so we invite people from all backgrounds to join us. At Stats Perform you can make a difference, by using your skills and experience every day, you'll feel valued and respected for your contribution. We take care of our colleagues We like happy and healthy colleagues. You will benefit from things like Mental Health Days Off, ‘No Meeting Fridays,’ and flexible working schedules. We pull together to build a better workplace and world for all. We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups. Diversity, Equity, and Inclusion at Stats Perform By joining Stats Perform, you'll be part of a team that celebrates diversity. A team that is dedicated to creating an inclusive atmosphere where everyone feels valued and welcome. All employees are collectively responsible for developing and maintaining an inclusive environment. That is why our Diversity, Equity, and Inclusion goals underpin our core values. With increased diversity comes increased innovation and creativity. Ensuring we're best placed to serve our clients and communities. Stats Perform is committed to seeking diversity, equity, and inclusion in all we do. Link to apply - https://eobe.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/jobs/preview/815/?keyword=Software+Engineer+III&mode=location

Key Responsibilities : We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Responsibilities : Agent Development : - Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. - Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration : - Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. - Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation : - Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. - Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support : - Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. - Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement : - Stay updated on advancements in AI, machine learning, and Microsofts AI technologies. - Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills : - Strong knowledge of Azure OpenAI, Azure AI Search Index and open source libraries such as LangChain and LlamaIndex. - Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. - Understanding of conversational AI technologies and chatbot frameworks. - Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements : - Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Proven experience in developing and deploying AI/ML models in real-world applications. - Strong programming skills, especially in Python, and familiarity with version control systems like Git. - Extensive experience in the Microsoft environment and related technologies.

What Youll Do: Build and maintain robust, scalable ETL/ELT pipelines for large-scale, high-volume, and multi-modal datasets. Architect and manage data lakes, warehouses, and marts for structured and unstructured data. Collaborate with ML, NLP, and Speech teams to deliver high-quality, ML-ready datasets. Implement data quality checks, lineage tracking, versioning, and compliance controls. Optimize pipeline performance and handle infrastructure reliability and observability (logging, alerting, monitoring). Develop internal tools and workflows to automate ingestion, labeling, and transformation processes. Mentor junior engineers and help establish best practices in data engineering and MLOps. What We’re Looking For: 4+ years of experience in data engineering or backend systems for ML/AI workflows. Advanced SQL skills and experience with analytical databases (PostgreSQL, BigQuery, Redshift, Snowflake). Strong Python or Scala skills for data transformation and pipeline orchestration. Proficiency with workflow tools like Airflow, Prefect, or DBT. Experience with cloud platforms (AWS, GCP, or Azure), object storage (e.g., S3, GCS). Familiarity with big data frameworks (Spark, Hadoop) and distributed computing. Solid understanding of data modeling, partitioning, and performance optimization. Comfort with CI/CD workflows, version control (Git), Docker, and Kubernetes. Nice to Have: Experience with real-time data pipelines using Kafka, Flink, or Spark Streaming. Exposure to ML data lifecycle: labeling, augmentation, training, evaluation. Knowledge of data governance, security, PII compliance, and auditability. Prior leadership experience or ownership of major data initiatives.

hardcore LLM and Model development with excellent python programming skills and embedded experience

Position : Solution Architect Location : PAN India (Onsite) Position Type : Permanent Job Description: 5-12 years experience in AI and machine learning, with a strong focus on solution architecture. Should have hands-on experience in deploying at least one end to end GenAI project. Proven experience with Azure OpenAI LLMs and its application in enterprise environments. Hands-on experience with Retrieval-Augmented Generation (RAG) systems. Expertise in Azure cloud services and architecture. Strong programming skills in Python and familiarity with AI development tools and libraries. Knowledge of AI model training, fine-tuning, and deployment processes. Excellent problem-solving and analytical skills. Strong leadership and project management abilities. Effective communication and interpersonal skills.

Roles and Responsibilities Design, develop, and deploy data science models using Python, AWS, and LLM (Large Language Model) technologies. Collaborate with cross-functional teams to identify business problems and design solutions that leverage gen AI capabilities. Develop scalable data pipelines using Bedrock framework to integrate various data sources into SageMaker model development. Conduct exploratory data analysis, feature engineering, and model evaluation to ensure high accuracy and reliability of results. Provide technical guidance on best practices for implementing machine learning algorithms in production environments. Analyze large, complex healthcare datasets, including electronic health records (EHR) and claims data. Develop statistical models for patient risk stratification, treatment optimization, population health management, and revenue cycle optimization. Build models for clinical decision support, patient outcome prediction, care quality improvement, and revenue cycle optimization Create and maintain automated data pipelines for real-time analytics and reporting Work with healthcare data standards (HL7 FHIR, ICD-10, CPT, SNOMED CT) and ensure regulatory compliance. Develop and deploy models in cloud environments while creating visualizations for stakeholders Present findings and recommendations to cross-functional teams including clinicians, product managers, and executives

Requirement -Sr. Python dev, at least 5 years of experience, ideal to have AI/ML & LLM background Must have -Python dev experience for services and applications They will be working in Gen AI team, so Python is must, AI background is optional

Required Skills & Experience: 4+ years of experience in penetration testing, red teaming or offensive security. 1+ years working with AI/ML or LLM-based systems. Deep familiarity with LLM architectures (e.g., GPT, Claude, Mistral, LLaMA) and pipelines (e.g., LangChain, Haystack, RAG-as-a-Service). Strong understanding of embedding models, vector databases (Pinecone, Weaviate, FAISS), and API-based model deployments. Experience with adversarial ML, secure inference, and data integrity in training pipelines. Experience with red team infrastructure and tooling such as Cobalt Strike, Mythic, Sliver, Covenant, and custom payload development. Proficient in scripting languages such as Python, PowerShell, Bash or Go.

Design and deploy autonomous AI agents using LLMs and frameworks like LangChain or AutoGPT. Collaborate on real-world applications, optimize agent workflows, and ensure safe, scalable AI solutions. Strong Python and GenAI experience required.

Over all experience 5 + years Design and develop a Python -based automation tool that uses LLMs to optimize QA processes . Strong proficiency in Python for automation and tooling. Good in leveraging LLM APIs (e.g., OpenAI, Anthropic etc.) for development and testing purposes. Integrate the automation tool with backend APIs and frontend components in collaboration with respective developers. Identify areas for automation and implement scalable solutions that reduce manual QA effort. Maintain and improve automation scripts and test frameworks as needed. Solid understanding of software testing principles, techniques, and testing methodologies. Experience with UI automation tools (e.g., Selenium , Playwright, Cypress). Familiarity with REST API testing tools such as Postman, Swagger, or JMeter. Hands-onexperience with cloud platforms, preferably AWS. Good working knowledge of SQL (intermediate level). Exposure to data testing and machine learning concepts is a plus. Experience working in Agile software development environments. Proficiency with test management tools (e.g., JIRA, TestRail). Excellent communication skills, both written and verbal. Ability to work both independently and as part of a cross-functional team. Automate test cases and processes for LLM-based features, ensuring output relevance, quality, and consistency. Strong written and verbal communication skills. Requires MANDATORY in-office work at the HITEC city office in Hyderabad for 3 days per week. Job Location: Hyderabad - HITEC city Notice Period: Immediate to 15 days. Work Mode : Hybrid 3 days in a week Interested candidates can share profiles to marygracy.antony@ilink-systems.com

Key Responsibilities: Machine Learning (ML): Design, build, and deploy ML pipelines for structured and unstructured data. Conduct feature engineering, model selection, and hyperparameter tuning. Evaluate model performance using industry-standard metrics and improve accuracy. Collaborate with data engineering teams to ensure clean and accessible data for model training. Apply supervised, unsupervised, and reinforcement learning techniques as per use case. Natural Language Processing (NLP): Develop NLP pipelines for text classification, sentiment analysis, entity recognition, summarization, etc. Leverage libraries like spaCy, NLTK, Hugging Face Transformers, and Gensim. Preprocess and tokenize large corpora using advanced NLP methods. Implement solutions for multi-lingual, domain-specific text data challenges. Integrate NLP services with applications or workflows. Large Language Models (LLM): Fine-tune and deploy LLMs (e.g., GPT, LLaMA, BERT, Falcon, Mistral) on custom datasets. Use prompt engineering and retrieval augmented generation (RAG) to build intelligent systems. Optimize inference performance and latency for production-level deployment. Stay updated with the latest in GenAI, foundation models, and transformer architectures. Work on use cases like chatbots, question answering, summarization, content generation, and semantic search.

Three.js/P5.js, Javascript - 3 yrs, modern frontend frameworks (e.g., React, Vue, Svelte), Building visualization tools and interfaces that enable the training and assessment of large language models (LLMs), AI metrics, embeddings