571 Llm Jobs - Page 17

Kindly apply using the below given link: https://jobs.cargill.com/job-invite/294139/ Job Purpose & Impact The Sr. Generative AI Engineer will architect, design and develop new and existing GenAI solutions for the organization. As a Generative AI Engineer, you will be responsible for developing and implementing products using cutting-edge generative AI and RAG to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy AI-powered solutions that enhance our products and services in Cargill. You will bring order to ambiguous scenarios and apply in depth and broad knowledge of architectural, engineering and security practices to ensure your solutions are scalable, resilient and robust and will share knowledge on modern practices and technologies to the shared engineering community. Key Accountabilities Apply software and AI engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied Generative AI software solutions and incorporate security practices in newly developed and maintained applications. Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. Conduct research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services, optimizing existing generative AI models and RAG for improved performance, scalability, and efficiency, developing and maintaining pipelines and RAG solutions including data preprocessing, prompt engineering, benchmarking and fine-tuning. Develop clear and concise documentation, including technical specifications, user guides and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Participate in the engineering community by maintaining and sharing relevant technical approaches and modern skills in AI. Contribute to the establishment of best practices and standards for generative AI development within the organization. Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff. Other duties as assigned Minimum Qualifications Bachelors degree in a related field or equivalent experience Minimum of five years of related work experience You are proficient in Python and have experience with machine learning libraries and frameworks Have deep understanding of industry leading Foundation Model capabilities and its application. You are familiar with cloud-based Generative AI platforms and services Full stack software engineering experience to build products using Foundation Models Confirmed experience architecting applications, databases, services or integrations

Hexaware is conducting Walkin Interview for Data Scientist(GENAI)/Lead Data Scientist (GENAI)/Data Scientist Architect(GENAI) _Chennai Location 29th March 2025 (saturday). We urgently looking for immediate joiners/early joiners. Interested Candidates can share CV at umaparvathyc@hexaware.com MUST HAVE: 1.5+ years experience-Good understanding of GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. 4.5+years -in machine learning, deep Learning architecture, NLP, and OCR. Primary Skills Good understanding of GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. Hands-on experience with Deep Learning architecture, NLP, and OCR. Python Fast API experience, SDA based implementations for all the APIs Architect should be hand-on to review the code developed by the developers Should be able to take and work on spike stories assigned to him/her.

Key Responsibilities for the Role PE (Law graduates Only) : Skills Required **** Impressive communication skills Attention to detail's (Legal department) Keen observation skills & Logical knowledge Excellent time management skills Strong organizational skills Client facing & customer-focused approach. Candidate with law graduation, who carries 0 to 1 year of experience are eligible. Thanks and Regards Swetha N

We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 38 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! REQUIREMENTS: Total experience 10+ years Excellent working experience in designing and developing prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. Experience in AI/ML, with a strong focus on Natural Language Processing (NLP) and Prompt Engineering. Experience in Pyhton coding or Langchain. Proven experience in GenAI, specifically with platforms like OpenAI, 4o or o1 or Gemini Expertise in cloud environments and managing AI models on the cloud Proficiency in Python and R programming Strong understanding of LLMs (Large Language Models), NLP, and AI/ML methodologies. Experience in Data Analysis and utilizing it to enhance prompt generation. Hands on working experience in Azure system. Excellent leadership skills to lead teams, mentor junior engineers, and drive innovation. Strong verbal and written communication skills, with the ability to articulate complex concepts. RESPONSIBILITIES: Writing and reviewing great quality code Understanding the clients business use cases and technical requirements and be able to convert them in to technical design which elegantly meets the requirements Mapping decisions with requirements and be able to translate the same to developers Identifying different solutions and being able to narrow down the best option that meets the clients requirements Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Position : Product Development Engineer Location : Kolkata Experience : Minimum 07 Years Qualification : Bachelor's degree in business, Engineering, or Computer Science, a Master's Working Days : Mon-Fri Shift : 9:30 AM till 6:30 PM Position Summary : We are looking for a highly skilled Product Developer to lead the development and optimization of our AI enabled technology platform, serving both B2B and B2C healthcare markets. The ideal candidate will have a strong background in US healthcare product management, experience with customer-facing applications, and a proven track record of driving product innovation and growth. This role requires a strategic thinker who can leverage market insights, competitive analysis, and best practices to consistently shape and deliver on the product roadmap. Requirements : - Over 8 years of experience required is Product Development - Candidates from Startups or Small/Mid-Size Startups/Organisations with ~500 to 800 Headcount are preferred Job Stability : Average Tenure in One Organisation = 2.5 to 3 Years - Hands-On Development experience on Technologies such as LLM, AI/ML, GENAI, Prompt engineering, OPE AI, ChatGPT, Gemini. - Lead the end-to-end product lifecycle, from ideation to launch, for our AI-enabled B2B2C platform - Leadership in prompt engineering, hybrid design evaluation, and making critical functional design decisions to drive market-leading innovation. - Hands-on coding and development experience in any programming language, such as Python, Java, C++, C/C++, PHP, JavaScript, etc (Anyone Language). - 2/3 Years exposure to B2B/B2C/SaaS based Healthcare Startup Environment. - B2B and B2C US healthcare markets/Products or any Software Product Startups. - Hands-on product Development experience & Owned a Product from Scratch. - Candidate must either be from Kolkata or willing to relocate to Kolkata.

About Oracle Cloud LIFT Services Oracles Cloud LIFT Services plays a critical role in accelerating the deployment of customer workloads to Oracle Cloud Infrastructure (OCI). Our mission is to facilitate seamless, efficient transitions to OCI and empower customers to continue their cloud journey with confidence. The LIFT team consists of architects, cloud specialists, and implementation experts, all working together to drive customer success through innovative solutions. Role Overview As a Cloud Implementation Specialist within the LIFT team, you will collaborate with customers and internal teams to drive the deployment of cloud workloads. Your responsibilities include: Contributing to architecture and solution design based on best practices. Leading the implementation of defined workloads. Supporting solution testing and performing security assurance reviews. What Youll Do Participate in concurrent customer engagements, driving cloud business growth. Collaborate with Workload Architects, Account Cloud Engineers, and Sales teams to ensure successful solution delivery. Focus on customer success by delivering high-quality, results-driven solutions in a timely manner. What’s Expected of You Lead by example, bringing entrepreneurial flair and innovative ideas. Communicate complex technical concepts clearly to both technical and non-technical audiences. Demonstrate proactive problem-solving, a strong results orientation, and the ability to work in a collaborative, agile environment. Show adaptability, embracing change with a positive mindset. What’s in It for You Be part of Oracle’s key strategic initiatives and contribute to cutting-edge AI solutions. Work in a dynamic, diverse environment with opportunities for continuous learning and development. Drive innovation in the Oracle Cloud Infrastructure space, helping customers integrate AI and other advanced technologies. Gain exposure to diverse enterprise requirements and work toward becoming a top-tier Cloud Architect. Lift Implementation Specialist - AI Must-Have Skills: Expertise in designing, building, and deploying AI solutions, particularly in LLMs and RAG workflows. Proficiency in Oracle Cloud technologies, including Oracle Fusion Cloud Applications, ODA, OIC, and generative AI services. Strong communication skills, with the ability to explain complex concepts clearly to diverse stakeholders. Good-to-Have Skills: Experience with LLM frameworks (LangChain, LlamaIndex) and tools like MLFlow, VectorStores, and LLMOps. Programming expertise in Java, Python, and experience with cloud data platforms. Familiarity with GPU architecture for optimized AI model training and inference. OCI Generative AI Professional Certification is a plus.

Responsibilities: Lead the integration of Perplexity.ai and ChatGPT APIs for real-time chatbot interactions. Design and implement intent extraction and NLP models for conversational AI. Design and Implement RAG (Retrieval-Augmented Generation) pipelines for context-aware applications Guide junior developers and ensure best practices in LLM application development. Set up Python API security, and performance monitoring. Requirements: Deep knowledge of NLP, LLMs (ChatGPT, GPT-4, Perplexity.ai, LangChain). Experience with Graph Databases (Neo4j) and RAG techniques. Familiarity with vector databases (Pinecone, Weaviate, FAISS). Strong expertise in Python (FastAPI, Flask) and/or Node.js (Express, NestJS). Good to have - experience with containerization (Docker, Kubernetes). Excellent problem-solving skills and experience leading a small AI/ML team.

Role & responsibilities AI developer with Web, Mobile, AI, Android, Flutter, PHP, REACT-NODE, python-django, ML/DL Internships are available For Junior developers, we will train you in live AI/IOT/Web/Mobile projects. Full time opportunity after Successful Internships. Additional training will be provided for freshers. Preferred candidate profile Fast self learner. AI with Full stack exposure to REACT,NODE,JSP, PHP-Laravel, Python-django, Android, etc . Good understanding of complex Data base and SQL with healthcare and business application exposure is required.

Role Purpose A result-oriented Software Developer to develop solutions powered by Fujitsus new processor, which help solve real-world challenges facing society and businesses across different industries. As a software developer, you are passionate about developing solutions and should be comfortable with back-end coding languages, technologies, frameworks and third-party/opensource libraries. You will play a role in developing innovative advanced solutions and services to support business outcomes. Responsibilities Improve and analyze performance of Generative AI & LLM software applications. Enable and optimize OSS/ISV applications for Fujitsus new processor, starting with LLM-related applications. Develop new algorithms for ML/DL frameworks, tuning technologies and work on software based on the proposed approaches using AI framework engineering. Improve and analyze performance of Generative AI & LLM Models for inferencing and fine tuning. Deploying and Testing applications to ensure functionality, performance, responsiveness, and efficiency. Creating test cases, test plans and automated test scripts for unit tests Troubleshooting, debugging, and fixing bugs and upgrading software/applications. Creating security and data protection settings and measures Writing technical documentation Working and communicating well with product managers, business analysts, and data scientists, and other software developers to collaborate, review and deliver high quality applications. Learning continually, sharing knowledge, and fostering exchange of skills Working using agile methods (planning meetings, review meetings, standup meetings, development, etc.) Working on multiple projects at once while keeping focused on project timeline Experience You will be able to demonstrate that you have: Experience with Generative AI, LLM, PEFT, LoRA, QAT, RAG, compression, quantization, SLLM Minimum 5 years experience in SW development, Deep Learning & AI Frameworks. Proficiency with fundamental back-end server-side languages such as Python & C++ ( preferably C++ ). Knowledge of LLM Fine tuning & training techniques (PEFT, LoRA, QAT etc. are preferred) Knowledge and experience related to RAG & RLHF Techniques. Experience with Deep learning frameworks such as PyTorch, TensorFlow & JAX. Experience with Image Generation & Large Multimodal models. Knowledge in neural compression & quantization techniques such as pruning & knowledge distillation. Preferred experience in AI framework or accelerators, performance tuning & optimization techniques Preferred Experience You will be able to demonstrate that you have: Experience in developing and deploying APIs. Knowledge and experience in Cloud service (Azure/AWS) features such as Functions, VM, Container, DevOps (CI/CD) Great skills in evaluating performance and security of software applications and delivering solutions which are efficient and performant. HPC and computer architecture understanding. Skills in AI-related technologies

Hiring a Data Scientist (1-5 years) to design ML models, automate data pipelines, and deliver insights. Proficiency in Python/R, ML frameworks, and SQL required. Must have done B.Tech/ M.Tech from IIT/ NIT

Provide legal counsel on academic, administrative, and operational matters Draft & review agreements, ensure legal compliance, represent in disputes Liaise with regulators, develop policies, stay updated on laws & guide staff on compliance matters Required Candidate profile LLB / LLM with 10+ years of legal experience in education sector Expertise in Indian education, labor laws & contracts Strong skills in communication, negotiation, analysis & legal drafting.

Experience - 3-15 yrs (Across different levels) Designation - Senior Engineer/Module Leader/Technical Leader Skill - Artificial Intelligence, Machine Learning, Deep Learning, NLP, LLM Location - Chennai, Kochi and Bangalore Leading a team of data scientists with roadmap and vision. Planning data projects. Building analytic systems and predictive models. Managing a team of data scientists, and machine learning engineers. Involve in pre-sales and building proposals. Apply strong expertise in machine-learning, deep learning, NLP, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services Responsibilities : Lead data mining and collection procedures Ensure data quality and integrity Interpret and analyze data problems Conceive, plan and prioritize data projects Build analytic systems and predictive models Test performance of data-driven products Visualize data and create reports Align data projects with organizational goal Understands business problems and designs end-to-end analytics use cases Develops complex models and algorithms that drive innovation throughout the organization. This may include improving on-time performance, network planning, etc., Conducts advanced statistical analysis to provide actionable insights, identify trends, and measure performance Collaborates with model developers to implement and deploy scalable solutions Provides thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders Qualification & Other Attributes: 3-15 years experience in a statistical and/or data science role Proven experience as a Data Scientist or similar role Strong organizational and leadership skills Degree in Computer Science, Data Science, Mathematics, or similar field Deep knowledge and experience in Large Language Models (LLM), Strong knowledge on Generative AI Deep knowledge of machine learning, statistics, optimization or related field Experience in Linear and non-Linear Regression models including Multiple and Multivariate Experience in Classification models including Ensemble techniques Experience in Unsupervised models including K-Means, DBSCAN, LOF Rich Experience in NLP techniques Experience in Deep Learning techniques like CNN, RNN, GAN, Markov etc (Any 3 or 4) Strong real-time experience with atleast one of the machine language softwares like R, Python, Matlab is mandatory. Good knowledge in Explainable AI Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) Excellent written and verbal communication skills along with strong desire to work in cross functional teams Attitude to thrive in a fun, fast-paced start-up like environment Additional advantage of having experience in semi, unstructured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc Optional: programming in C, C++, Java, .Net Interested candidates can share their updated resume at megha.chattopadhyay@aspiresys.com

Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally Stakeholder Interaction Stakeholder Type Stakeholder Identification Purpose of Interaction Internal Lead Software Developer and Project Manager Regular reporting & updates Software Developers For work coordination and support in providing testing solutions External Clients Provide apt solutions and support as per the requirement Display Lists the competencies required to perform this role effectively: Functional Competencies/ Skill Leveraging Technology Knowledge of current and upcoming technology along with expertise in programming (automation, tools and systems) to build efficiencies and effectiveness in own function/ Client organization Competent Process Excellence - Ability to follow the standards and norms to produce consistent results, provide effective control and reduction of risk Expert Technical knowledge knowledge of various programming languages, tools, quality management standards and processes - Expert Competency Levels Foundation Knowledgeable about the competency requirements. Demonstrates (in parts) frequently with minimal support and guidance. Competent Consistently demonstrates the full range of the competency without guidance. Extends the competency to difficult and unknown situations as well. Expert Applies the competency in all situations and is serves as a guide to others as well. Master Coaches others and builds organizational capability in the competency area. Serves as a key resource for that competency and is recognised within the entire organization. Behavioral Competencies Formulation & Prioritization Innovation Managing Complexity Execution Excellence Passion for Results Deliver / No. / Performance Parameter / Measure - 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Mandatory Skills: Python, GenAI, AWS Preferred Skills: NLP , AI/ML , LLM Architect and implement Al solutions utilizing cutting-edge technologies like LLM, Langchain, and Machine Learning. AIML solution development in Azure using Python Ability to build and finetune the model to improve the performance Create own technology if off-the-shelf technology is not solving the problem. E.g changes to traditional RAG approaches, finetune LLM, create architectures. Use experience and advise leadership and team of data scientists best approaches, architectures for complex ML use cases. Lead from the front, responsible for coding, designing, and ensuring best practices & frameworks are adhered by the team. Create end to end AI systems with responsible AI principles Develop data pipelines using SQL to extract and transform data from Snowflake for Al model training and inference. Possess expertise in Natural Language Processing (NLP) & GenAI to integrate text-based data sources into the Al architecture. Collaborate with data scientists and engineers to ensure seamless integration of Al components into existing systems. Responsible for continuous communication about the team progress to keystakeholder.

Job Summary We are seeking a highly skilled Generative AI Data Scientist to design, develop, and deploy generative AI applications and models that can generate meaningful insights, creative business domain content, or solve domain-specific challenges. The ideal candidate will combine expertise in data science, machine learning, AI and natural language processing (NLP) with a passion for innovation and real-world applications. As part of the EXL Digital AI R&D Innovation team, you will work as a Data Scientist in the Innovation unit supporting all EXL Business Units. You will be exposed to hundreds of different enterprise GenAI business use cases and help our clients create value architecting GenAI applications and solutions. This role involves working on cutting-edge Generative AI technologies to drive significant revenue growth, operational efficiencies, and enhanced customer experiences for our Fortune 1000 enterprise clients across various industries in insurance, healthcare, banking & financial services, media, and retail. You will work with a team of talented data scientists, AI researchers, software engineers, ML engineers, project managers and delivery managers helping them in deploying advanced AI technologies. Youll work with domain-specific data, design models and AI systems & architectures at scale, design RAG pipelines, improve AI Governance and responsible, LLM selection(GPT-4, Llama2, Mistral, Claude, Gemini, Flan, BERT) & fine-tuning PEFT LoRa/QLoRa adapters, LLM Prompt Engineering, Agentic AI, AutoGen, AI Autonomous Agents, Multimodal LLMs and LLM orchestration architectures for enterprise data at scale in Python. Key Responsibilities Model Development: Research, design, and develop state-of-the-art generative models such as GPT, GANs, VAEs, or diffusion models for tasks like text generation, summarization, reasoning, Q&A, or predictive analytics. Fine-Tuning: Fine-tune pre-trained models (e.g., Llama3, Mistral, OpenAI GPT, BERT, T5) to meet domain-specific requirements. Data Preparation: Clean, preprocess, and structure large datasets to train, validate, and test generative AI models. Deployment: Implement scalable solutions for deploying generative AI models in production environments using tools like Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure). Collaboration: Work closely with cross-functional teams, including product managers, engineers, and stakeholders, to align AI solutions with business goals. Evaluation: Develop metrics and benchmarks to evaluate model performance and ensure quality outputs. Research: Stay up to date with the latest advancements in AI/ML, particularly in generative AI techniques, and propose innovative solutions. Ethical AI Practices: Ensure ethical considerations are addressed in model development, including fairness, accountability, and explainability. Experience of architecting AI systems to solve complex business problems. Build advanced RAG pipelines, text chunking, and retrieval, LLM Prompt Engineering, using Vector Databases. Implement right LLM selection based on use cases and client criteria (GPT-4, Llama2, Mistral, Claude, Gemini, Flan, BERT) while managing trifecta of accuracy, cost, and latency/scale. Develop, fine-tune, context tune and implement state-of-the-art NLP models including Large Language Models like GPT, Llama3.1, Claude, BLOOM, Flan-T5, Falcon etc. fine-tuning PEFT LoRa/QLoRa adapters design AI systems & architectures, while considering good Responsible AI standards and AI Governance. Build Agentic AI, AutoGen, Muti-agents use cases, AI Autonomous Agents and LLM orchestration architectures for enterprise data at scale in Python. Hands on experience with complementary technologies around LLMs like embedders, vector databases (chroma, weaviate etc.), orchestration tools like Langchain, LlamaIndex etc. Conduct research and experimentation to improve existing models and propose novel approaches. Collaborate with cross-functional teams to integrate generative AI solutions into real-world applications. Stay up-to-date with the latest advancements in deep learning and generative models and apply them to enhance our AI capabilities. Document research findings, prepare technical reports, and contribute to whitepaper/scientific publications. Provide deep leadership and coaching in the project delivery lifecycle. Focus on shared learning, continuous improvement, and drive adoption of best practices. Qualifications Education and Experience: Masters of Science or PhD in computer science, data science, statistics, Natural Language Processing 2-3 years of experience in GenAI and Large Language Models. Strong programming skills in Python, including experience with libraries like TensorFlow, PyTorch, Hugging Face Transformers, or similar. as evidenced by released code (e.g., GitHub repositories – version control awareness). Solid understanding of optimization techniques for training deep neural networks, regularization methods, and hyperparameter/fine tuning. Hands-on experience with generative AI models, such as Llama3, GPT4, Claude Knowledge of NLP, computer vision, or multimodal AI techniques. Proficiency in data manipulation and analysis tools (e.g., Pandas, NumPy, SQL). Experience in Generative AI Models and LLMs, finetuning LLMs, prompt engineering and experience with LLM orchestration frameworks like Langchain, LlamaIndex, RAGAS, etc. Strong software engineering skills for rapid and accurate development of AI models and systems. Understanding of Agentic AI, Autonomous Agents, AI Agents, AutoGen, Crew.ai, Langchain, and workflow steps design. NVIDIA Blueprints. Google AI Agents. Provide business-oriented solution with ability to communicate effectively, both verbally and in writing, with technical and non-technical stakeholders. Experience working in a collaborative environment, contributing to multidisciplinary teams and projects. Proven ability to solve complex problems, think creatively, and adapt to evolving research trends. Experience in deploying ML models in cloud environments (AWS SageMaker, GCP AI Platform, or Azure ML). Strong problem-solving and analytical skills. Excellent communication skills, both technical and non-technical. Skills and Competencies: 5 years of experience in AI, NLP including transformer architecture and LLMs, Computer Vision and related technologies Excellent communication and problem-solving skills. Working with cross-functional teams across different stakeholders. Ability to explain GenAI to non-technical audiences across many different industries. Ability to do GenAI Architecture solutioning for existing clients and potential clients. People leadership skills. Candidate is also hands on developer while people managing Data Scientists, ML Engineers etc. Experience in ML Engineering and MLOps, MLFlow Strong understanding of statistical and machine learning concepts Experience with deep learning frameworks such as TensorFlow and PyTorch Familiarity with key concepts and techniques used in generative models, such as variational autoencoders (VAEs), generative adversarial networks (GANs), and flow-based models. Strong programming skills in languages such as Python, along with experience working with popular deep learning frameworks like PyTorch and TensorFlow. Understanding of Graph Database and/or Vector Database along with knowledge of cloud services (e.g., AWS, Azure, GCP). Experience with deploying AI models in production environments. Familiarity with domain-specific applications of generative AI Leveraged both Azure and AWS for model inferencing. For finetuning, he has worked more on AWS SageMaker. Has used different retrieval, reranking, and generation techniques based on the use case complexity and the metrics required. Has played multiple roles in the past, such as an individual contributor, a solution architect, a mentor, a trainer, and a people manager. He also participates in RFI, RFP, thought leadership, and business development activities. ole & responsibilities Preferred candidate profile Perks and benefits

3+ years of work experience in Python programming for AI/ML, deep learning, and Generative AI model development Proficiency in TensorFlow/PyTorch, Hugging Face Transformers and Langchain libraries Hands-on experience with NLP, LLM prompt design and fine-tuning, embeddings, vector databases and agentic frameworks Strong understanding of ML algorithms, probability and optimization techniques 6+ years of experience in deploying models with Docker, Kubernetes, and cloud services (AWS Bedrock, SageMaker, GCP Vertex AI) through APIs, and using MLOps and CI/CD pipelines Familiarity with retrieval-augmented generation (RAG), cache-augmented generation (CAG), retrieval-integrated generation (RIG), low-rank adaptation (LoRA) fine-tuning Ability to write scalable, production-ready ML code and optimized model inference Experience with developing ML pipelines for text classification, summarization and chat agents Prior experience with SQL and noSQL databases, and Snowflake/Databricks

Job Title : Senior Analyst / Data Scientist - NLP/Gen AILocation : Chennai, Bangalore, Hyderabad, Delhi/NCR Who we are --Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the Best and Fastest Growing analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine What do we expect? Generative AI & NLP Expertise : Extensive experience in developing and deploying Generative AI applications and NLP frameworks , with hands-on knowledge of LLM fine-tuning , model customization , and AI-powered automation . Hands-On Data Science Experience : 3+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments. AI Innovation : Deep knowledge of the latest developments in Generative AI and NLP , with a passion for experimenting with cutting-edge research and incorporating it into practical solutions. Problem-Solving Mindset : Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems. Communication Skills : Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.

Kindly share the resumes to suhasini.swamy@quest-global.com Key Responsibilities: Primary Technical: Design and implement AI/ML solutions using key libraries and frameworks, guiding end to end deployment from initial POC to production. Develop POCs for new solutions, demonstrating their business value to clients and guiding their evolution into full-scale, production-ready solutions. Showcase expertise in Large Language Models by demonstrating practical examples and case studies. Mentor and coach engineers throughout the implementation process, ensuring robust, production ready solutions with efficient monitoring and maintenance. Demonstrate solutions from past experience in data engineering space include skills like Big Data, Spark, ETL pipelines, Airflow, and more. Knowledge Expertise: • Exhibit technical expertise with a variety of API technologies, including Python libraries, REST APIs, Java frameworks, and demonstrate capabilities to clients. • Apply advanced knowledge in cloud engineering, Docker, and Kubernetes to ensure optimized, scalable, and resilient solution architectures. Soft Skills: Engage as a trusted technical advisor to clients, understanding their business needs and identifying technical value-add opportunities. Collaborate with sales and delivery teams to identify solution opportunities and support in creating proposals and present solutions. Establish and monitor key performance indicators for solutions, driving continuous improvements and implementing remediation plans as needed. Key Qualifications Experience: 10+Years in technology, including 5+Years architecting distributed systems and developing technology roadmaps for global enterprises. Deep understanding of AI/ML and experience implementing solutions. Familiarity with LLMs and ability to provide examples and case studies. Experience in data engineering areas, including Big Data, Spark, ETL pipelines, and Airflow. Proficiency with Python, REST, Java, and associated libraries and frameworks. Expertise in Docker, Kubernetes, and cloud platforms to support containerization and cloud-native development. Demonstrated ability to lead end-to-end POC design, solution development, and client presentations. Experience creating scalable, seamless integrations with existing systems. Strong interpersonal skills and proven ability to communicate complex technical concepts to both technical and non-technical audiences. Skilled in prioritization and managing client relationships to ensure satisfaction and long-term partnership.

Our Client is Big Legal Company dealing in Real Estate Agreement, Title clearance etc Designation - Advocate / Legal Manager For any Query, call 8000044060 or email your cv to ranjan@highriseconsultancy.com Required Candidate profile Only those candidate, who have experience of dealing in Real Estate legal matter viz Drafting of Sale and Purchase agreements related to Real Estate, can only apply.

Hiring for Randstad Client Looking for candidate's only from Chemistry , Physics , Mathematics , Finance, Accountancy, Economics educational background from Premium colleges only. What You Will Be Doing: 1. Creating High-Quality Content for Various AI Models: Develop conversational prompts and responses. Create generative prompts and responses. Write description prompts. Provide detailed descriptions of videos with or without audio. Summarize video content. Generate image captions. Create video event captions. 2. Evaluating Human or AI-Generated Prompt-Response Pairs: Score prompt-response pairs on multiple parameters and categories. Provide constructive feedback and suggest improvements where applicable. 3. Comparing and Rating Multiple AI-Generated Prompt-Response Pairs: Evaluate and score prompt-response pairs based on various parameters. Refine and enhance responses as needed. Required: Strong understanding of NLP concepts and techniques. Experience with large language models and AI systems. Excellent written and verbal communication skills, with a passion for language and storytelling. Ability to think creatively and solve problems, adapting to new challenges and priorities Strong analytical skills and attention to detail. Effective collaboration skills within a cross-functional team. 5 days working(Work from home) General shift Virtual Interview Interested candidate's share CV on p.preethi@randstad.in

Role & responsibilities: Outline the day-to-day responsibilities for this role. Preferred candidate profile: Specify required role expertise, previous job experience, or relevant certifications. Perks and benefits: Mention available facilities and benefits the company is offering with this job.

Key Duties and Responsibilities: Collaborate with business analysts to understand requirements and create clear technical details to fulfill requirements. Conceptualize a comprehensive technical architecture, encompassing both front-end and back-end components. Iterate on design concepts with the UX team and oversee implementation to ensure seamless user experiences. Create and optimize database schemas and queries for handling large-scale AI data operations Develop RESTful APIs and GraphQL endpoints for front-end applications to interact with AI services Implement security measures and authentication systems to protect sensitive data and AI assets Collaborate with data scientists to optimize model serving infrastructure and performance Design and implement caching strategies and other performance optimization techniques Build and maintain microservices architecture for AI applications Develop and maintain documentation for APIs and backend systems Participate in code reviews and provide technical guidance to team members Build agentic interactions with LLMs through frameworks like LangChain and LangGraph. Build state management at backend for complex workflows required by front end clients . Perform low level design and document the design to facilitate collaborations and approvals. Required Skills: 7 Years of experience in the full stack engineering field. 5 Years of experience in AI and LLM field. Strong proficiency in React, Python and Java programming languages Good experience with implementing UI screens for various digital products, including mobile applications, web applications, and desktop experiences. Experience with web frameworks like Express.js and Spring boot. Experience using LangChain Framework. Strong technical leadership capabilities. Open API documentation using Swagger Solid understanding of database technologies (SQL and NoSQL) and optimization techniques Experience with message queues and event-driven architectures (Kafka, RabbitMQ) Knowledge of containerization and orchestration tools (Docker, Kubernetes) Familiarity with AI/ML deployment patterns and model serving technologies Experience with cloud platforms (AWS) and their AI/ML services Strong understanding of API design principles and best practices Experience with version control systems (Git) and CI/CD pipelines Knowledge of security best practices and authentication protocols Strong problem-solving skills and attention to detail Experience with monitoring and logging systems Excellent communication skills and ability to work in cross-functional teams Understanding of agile development methodologies and practices Exposure to machine learning methodology and best practices Knowledge of LLM technologies and orchestration frameworks Good understanding of testing like unit testing, integration testing and contract testing. Experience with deployment frameworks like AWS SAM and Terraforms A bachelor's or master's degree in computer science, data science, information science or related field, or equivalent work experience.

Position Overview: We are looking for a passionate and experienced AIML Engineer with a strong background in Python, AI/ML, and Generative AI technologies. The ideal candidate will be responsible engaging team of talented engineers, overseeing the development and implementation of AI/ML models, and ensuring the delivery of high-quality, scalable solutions. Key Responsibilities: Design, develop, and deploy AI/ML/GenAI models and algorithms using Python and relevant frameworks. Drive the development of Generative AI solutions, including natural language processing (NLP), Embedding models, Text retrieval Reinforcement Learning, and other related technologies. Deploying LLM's in Container like TGI, VLLM, TensorRT or similar frameworks. Collaborate with cross-functional teams to define project requirements, scope, and timelines. Ensure the scalability, performance, and reliability of AI/ML solutions. Stay updated with the latest advancements in AI/ML and GenAI technologies and incorporate them into projects. Provide technical guidance, and ensure best practices in software development. Communicate effectively with stakeholders, presenting technical concepts and project progress. Qualifications: Bachelor's or masters degree in computer science, Engineering, or a related field. Proven experience as a AIML Engineer with production grade projects. Strong proficiency in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Hands-on experience with Generative AI technologies, including NLP, computer vision, and deep learning. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud platforms (e.g., AWS) and containerization technologies (e.g., Docker, Kubernetes). Excellent problem-solving skills and the ability to think critically and analytically. Strong communication and interpersonal skills, with the ability to work effectively in a team-oriented environment. Preferred Qualifications: Knowledge of RAG, RAGAS Evaluation frameworks is a big Plus. Knowledge of reinforcement learning and other advanced AI techniques. Contributions to open-source AI/ML projects or publications in relevant conferences/journals.

Develop and implement AI scripts using Python to automate processes and tasks. Apply knowledge of the OpenAI API to create complex AI workflows and enhance automation solutions. Lead the deployment of AI solutions in Azure Apply Langchain Required Candidate profile 5+ years of development experience in .NET and Azure and UI using ASP,NET or React Experience with Azure OpenAI Experience with LangChain and working with GPT models Strong understanding of LLMs

Urgent hiring for LLM - Application / Cyber Security Engineer Preferred Expertise Application Security, Secure Coding, Machine Learning for Cybersecurity, Software Development & Code Analysis Apply anisha.roy@styleinconsultancy.com or 9123358006

Implement and optimize LLM models like GPT, Gemini, Llama, Falcon, RAG-based solutions. Fine-tune and optimize LLMs. Apply techniques such as GANs, VAEs, and Transformers. Implement solutions using Azure, GCP, and AWS services and frameworks. Knowledge and implementation experience of different LLMs and Generative AI use cases. Experience with LLM models and fine-tuning. Good understanding of GANs, VAEs, and Transformers. Experience with cloud platforms like Azure, GCP, and AWS. Bachelors or masters or PhD with 6-10 years of experience in AI. Strong programming skills in Python. Experience with source code management systems. Knowledge of search engines and information retrieval. Excellent problem-solving and analytical skills. Strong communication and teamwork skills.