1443 Generative Ai Jobs - Page 35

Role & responsibilities .Net Fullstack + AWS + Angular + AI/Gen AI (good to have) Notice Period-Immediate to July/Aug Joiners *Note-Reply only if experience, notice period and skills matching with your profile. Preferred candidate profile

Core Responsibilities Design and implement machine learning models, including Generative AI and Large Language Models (LLMs), to solve complex business problems. Integrate AI/ML solutions, including open-source LLMs (Llama, Falcon, Mistral, etc.), with existing Node.js applications. Process, clean, and transform data for model training and inference. Optimize model performance, fine-tune LLMs, and improve deployment pipelines. Collaborate with cross-functional teams, partners, and stakeholders to develop AI-driven solutions. Apply AI and ML research, including Generative AI, to enhance software development and business workflows. Develop and maintain RESTful APIs for seamless interaction with ML models and LLM-based applications. Required Technical Skills Generative AI & LLMs Experience with open-source LLMs (e.g., Llama, Falcon, Mistral) and fine-tuning techniques. Machine Learning & AI – Hands-on experience with frameworks like TensorFlow, PyTorch, and scikit-learn Data Processing – Strong expertise in data manipulation using pandas, NumPy, and other relevant tools. Model Deployment – Knowledge of model serving techniques in JavaScript environments for real-world applications. Node.js Development – Building and maintaining backend services that interact with ML models and APIs. API Development – Experience in RESTful API design and implementation using Node.js.

Role & responsibilities .Net Fullstack + AWS + Angular + AI/Gen AI (good to have) Notice Period-Immediate to July/Aug Joiners *Note-Reply only if experience, notice period and skills matching with your profile. Preferred candidate profile

Why CDM Smith? Join a team of innovators dedicated to driving data science and AI to new heights. Opportunity to work on impactful projects that shape the future of CDM Smith and the industries we serve. Competitive compensation and benefits package, with opportunities for professional development and growth. About CDM Smith: CDM Smith is dedicated to innovating and driving digital transformation through advanced AI and data science solutions. Our goal is to develop state-of-the-art, industry-leading AI tools that enhance and transform business processes. As a member of our data science team, you will work alongside skilled professionals who are committed to pioneering transformative technologies. Position Summary: We are looking for a skilled and experienced Lead Data Scientist with a strong background in building AI-driven applications and solutions. In this role, you will play a critical role in advancing our generative AI capabilities, creating solutions that streamline processes, and optimizing data insights across the organization. The ideal candidate will be highly analytical, with a deep understanding of machine learning algorithms, advanced data processing techniques, and hands-on experience with Azure Open AI services. Role & responsibilities AI Solution Development: Lead the development and enhancement of AI tools, including generative AI models, natural language processing (NLP) applications, and predictive analytics, that align with CDM Smiths business goals. Machine Learning & Deep Learning : Utilize supervised and unsupervised learning methods to address complex data science challenges. Apply advanced techniques, such as deep learning and neural networks, to optimize model performance. Data Engineering & Processing : Implement and improve data collection methods to ensure robust data pipelines. Focus on building systems that can efficiently process high volumes of data. Data Visualization: Design impactful visualizations using tools such as Power BI, making data insights accessible and actionable for stakeholders. Azure Open AI Expertise : Leverage Azures suite of AI tools, including LLMs and Custom Vision, for scalable, cloud-based deployment of AI solutions. Indexing & Document Optimization : Develop optimized indexing methods and document management strategies for high-volume data handling, especially within Azure Blob storage. Prompt Engineering: Apply prompt engineering techniques to improve the efficiency and accuracy of AI models, focusing on maximizing the effectiveness of LLM-based systems. Cross-functional Collaboration: Work with various teams to identify business challenges, translate them into data science projects, and implement data-driven solutions. Mentorship : Mentor junior data scientists, fostering an environment of growth and continuous learning. Required Qualifications: Educational Background: Bachelors or Masters degree in computer science, Data Science, Engineering, or a related field. Experience: At least 9+ years of relevant experience in data science, with a focus on AI model deployment and application development in a cloud environment, specifically Azure Open AI with at least 2 of those years in a supervisory or leadership capacity. Technical Skills: Proficient in Python and SQL for data manipulation, model building, and analysis. Extensive experience with large language models (LLMs) and RAG architecture. Advanced skills in machine learning algorithms, deep learning, and NLP. Familiarity with Azure Blob storage and optimization techniques for high-volume document processing. Strong data visualization abilities, with proficiency in tools such as Power BI, Tableau, or similar. Problem-Solving Skills: Strong analytical and debugging skills to identify, analyze, and solve complex data challenges. Communication Skills: Ability to communicate complex technical concepts to non-technical stakeholders effectively. Preferred Qualifications Additional Skills: Experience with Azure Custom Vision and related AI tools. Exposure to prompt engineering and document content optimization techniques. Familiarity with data architecture and optimization practices for AI scalability. Soft Skills: Ability to establish and build relationships across departments. Strong organizational skills and attention to detail. Ability to adapt quickly in a dynamic, fast-paced environment.

AI/ML Engineer Years of experience: 3-10 years (with minimum 3 years of relevant experience) Key Skills: Python, Tensorflow, Generative AI ,Machine Learning, AWS , Agentic AI, Open AI, Claude, Fast API NOTE: ONLY REGISTERED CANDIDATES WILL ALLOWED TO PARTICIPATE IN THE WALKIN DRIVE https://lnkd.in/gfXVUE8U Location: Hyderabad Walkin Date: 5th July 2025 Time: 11:00 am to 3:00pm

Position Overview: We are seeking an experienced AI Trainer with expertise in Generative AI to join our team. The ideal candidate should have a minimum of 2 years of experience in AI Development. As an AI Trainer, you will be responsible for designing and delivering training programs, workshops, and educational materials to help individuals and teams develop their skills in AI and machine learning, including Generative AI. Key Responsibilities: Develop and deliver AI training programs, workshops, and educational materials for various audiences, including software developers, data scientists, and business professionals. Design and implement curriculum and training materials covering topics such as machine learning algorithms, deep learning frameworks like PyTorch-TensorFlow, natural language processing, computer vision, Generative AI, and AI ethics. Deliver engaging and interactive training sessions, both in-person and virtually, that cater to different learning styles and levels of expertise. Provide guidance and support to participants during hands-on exercises, projects, and assignments to reinforce learning and skills development. Stay updated on the latest trends, tools, and technologies in AI and machine learning, particularly in Generative AI, and incorporate them into training programs as appropriate. Collaborate with other team members, subject matter experts, and stakeholders to continuously improve and refine training content and delivery methods. Evaluate the effectiveness of training programs through assessments, feedback, and performance metrics and make recommendations for improvement. Requirements: Bachelor's degree or higher in computer science, engineering. Minimum of 2 years of experience in AI Development, including experience with machine learning algorithms, deep learning frameworks, Generative AI, and AI development tools. At least 1 year of experience specifically in training others in the field of artificial intelligence, either in a corporate training setting, academic environment, or as a freelance trainer would be preferred. Strong communication and presentation skills, with the ability to explain complex technical concepts in a clear and concise manner. Passion for teaching and mentoring others, with a focus on fostering a collaborative and supportive learning environment. Proven ability to design and deliver engaging and effective training programs that meet the needs of diverse audiences. Experience with instructional design principles, adult learning theory, and instructional technologies is a plus.

We are seeking a motivated AI/ML and Python Developer with 6 years + of experience to join our team. The ideal candidate will have a strong foundation in AI/ML technologies, Python programming, and a passion for solving complex problems. Key Responsibilities: Develop, deploy, and maintain AI/ML models and solutions. Integrate and optimize Large Language Models (LLMs) and Generative AI (Gen AI) technologies. Design and implement AI agents for automation and decision-making tasks. Collaborate with cross-functional teams to deliver scalable AI-driven solutions. Technical Requirements: Proficiency in Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with Gen AI, LLM integration (e.g., OpenAI GPT, Hugging Face), and AI agent development. Familiarity with data preprocessing, model training, and evaluation techniques. Knowledge of REST APIs, cloud platforms (e.g., AWS, GCP), and version control (e.g., Git). Understanding of NLP , computer vision, or reinforcement learning is a plus. Preferred Qualifications: Hands-on experience with Gen AI tools and frameworks. Must Have Good Command over LLM - NLP Techniques Proven ability to work on end-to-end AI/ML projects. Strong problem-solving and communication skills.

Job Description Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and ability to work effectively in a team environment. Primary Skills Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs including Langchain, Llama Index, vector databases, prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with open-source LLMs and tools like TensorFlow/PyTorch and Hugging Face. Techniques such as quantization, LLM fine-tuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git. Tech Skills (10+ Years Experience) Machine Learning (ML) & Deep Learning: Solid understanding of supervised and unsupervised learning. Proficiency with deep learning architectures like Transformers, LSTMs, RNNs, etc. Generative AI: Hands-on experience with models such as OpenAI GPT-4, Anthropic Claude, LLama, etc. Knowledge of fine-tuning and optimizing large language models (LLMs) for specific tasks. Natural Language Processing (NLP): Expertise in text preprocessing, tokenization, embeddings, sentiment analysis. Familiarity with NLP tasks like text classification, summarization, translation, and question-answering. Retrieval-Augmented Generation (RAG): In-depth understanding of RAG pipelines and knowledge retrieval techniques like dense/sparse retrieval. Experience integrating generative models with external knowledge bases or databases to augment responses. Data Engineering: Ability to build, manage, and optimize data pipelines for feeding large-scale data into AI models. Search and Retrieval Systems: Experience building or integrating search and retrieval systems using Elasticsearch, AI Search, ChromaDB, PGVector, etc. Prompt Engineering: Expertise in crafting, fine-tuning, and optimizing prompts to improve model output quality. Knowledge of prompt formats, strategies, constraints, including few-shot, zero-shot, one-shot prompting, and using system/user prompts. Programming & Libraries: Proficiency in Python and libraries such as PyTorch, Hugging Face. Knowledge of version control (Git), cloud platforms (AWS, GCP, Azure), and MLOps tools. Database Management: Experience with SQL, NoSQL, and vector databases. APIs & Integration: Ability to work with RESTful APIs and integrate generative models into applications. Evaluation & Benchmarking: Strong understanding of metrics and evaluation techniques for generative models.

Job Description Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and ability to work effectively in a team environment. Primary Skills Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs including Langchain, Llama Index, vector databases, prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with open-source LLMs and tools like TensorFlow/PyTorch and Hugging Face. Techniques such as quantization, LLM fine-tuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git. Tech Skills (10+ Years Experience) Machine Learning (ML) & Deep Learning: Solid understanding of supervised and unsupervised learning. Proficiency with deep learning architectures like Transformers, LSTMs, RNNs, etc. Generative AI: Hands-on experience with models such as OpenAI GPT-4, Anthropic Claude, LLama, etc. Knowledge of fine-tuning and optimizing large language models (LLMs) for specific tasks. Natural Language Processing (NLP): Expertise in text preprocessing, tokenization, embeddings, sentiment analysis. Familiarity with NLP tasks like text classification, summarization, translation, and question-answering. Retrieval-Augmented Generation (RAG): In-depth understanding of RAG pipelines and knowledge retrieval techniques like dense/sparse retrieval. Experience integrating generative models with external knowledge bases or databases to augment responses. Data Engineering: Ability to build, manage, and optimize data pipelines for feeding large-scale data into AI models. Search and Retrieval Systems: Experience building or integrating search and retrieval systems using Elasticsearch, AI Search, ChromaDB, PGVector, etc. Prompt Engineering: Expertise in crafting, fine-tuning, and optimizing prompts to improve model output quality. Knowledge of prompt formats, strategies, constraints, including few-shot, zero-shot, one-shot prompting, and using system/user prompts. Programming & Libraries: Proficiency in Python and libraries such as PyTorch, Hugging Face. Knowledge of version control (Git), cloud platforms (AWS, GCP, Azure), and MLOps tools. Database Management: Experience with SQL, NoSQL, and vector databases. APIs & Integration: Ability to work with RESTful APIs and integrate generative models into applications. Evaluation & Benchmarking: Strong understanding of metrics and evaluation techniques for generative models.

Job Description Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and ability to work effectively in a team environment. Primary Skills Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs including Langchain, Llama Index, vector databases, prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with open-source LLMs and tools like TensorFlow/PyTorch and Hugging Face. Techniques such as quantization, LLM fine-tuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git. Tech Skills (10+ Years Experience) Machine Learning (ML) & Deep Learning: Solid understanding of supervised and unsupervised learning. Proficiency with deep learning architectures like Transformers, LSTMs, RNNs, etc. Generative AI: Hands-on experience with models such as OpenAI GPT-4, Anthropic Claude, LLama, etc. Knowledge of fine-tuning and optimizing large language models (LLMs) for specific tasks. Natural Language Processing (NLP): Expertise in text preprocessing, tokenization, embeddings, sentiment analysis. Familiarity with NLP tasks like text classification, summarization, translation, and question-answering. Retrieval-Augmented Generation (RAG): In-depth understanding of RAG pipelines and knowledge retrieval techniques like dense/sparse retrieval. Experience integrating generative models with external knowledge bases or databases to augment responses. Data Engineering: Ability to build, manage, and optimize data pipelines for feeding large-scale data into AI models. Search and Retrieval Systems: Experience building or integrating search and retrieval systems using Elasticsearch, AI Search, ChromaDB, PGVector, etc. Prompt Engineering: Expertise in crafting, fine-tuning, and optimizing prompts to improve model output quality. Knowledge of prompt formats, strategies, constraints, including few-shot, zero-shot, one-shot prompting, and using system/user prompts. Programming & Libraries: Proficiency in Python and libraries such as PyTorch, Hugging Face. Knowledge of version control (Git), cloud platforms (AWS, GCP, Azure), and MLOps tools. Database Management: Experience with SQL, NoSQL, and vector databases. APIs & Integration: Ability to work with RESTful APIs and integrate generative models into applications. Evaluation & Benchmarking: Strong understanding of metrics and evaluation techniques for generative models.

Data Scientist—Generative AI: Design, finetune & deploy LLMs, GANs & diffusion models. Build RAG pipelines with FAISS/Pinecone; use Python, PyTorch/TensorFlow, and Hugging Face. Create ML pipelines, ensure model ethics, and deploy via cloud.

Hiring an AI Engineer - Join an AI SaaS Startup About the organization: We're revolutionizing the hiring process with AI-powered voice and avatar technology . The platform acts as a 24/7 AI Hiring Agent , automating everything from screening to interviews and decision-making. Location: Bangalore ( Remote for now) About This Role You'll play a key role in building AI capabilities into our core platform, from interviews to decision-making. This role requires product thinking, fast execution, and a passion for real-world AI applications. You'll work directly with the founding team in a fast-moving, high-trust environment . Roles & Responsibilities Build and optimize AI systems using LLMs, NLP, and GenAI APIs Design and deploy ML-powered features within our product suite Collaborate with Product and Engineering to ship real-world AI features Own model training, fine-tuning, and inference pipelines Integrate voice (TTS/ASR) and avatar technologies into the platform Work in an agile, startup-style environment with quick iterations Ensure high-quality, scalable ML components in production Drive innovation and constantly explore new AI capabilities What Were Looking For 2-3 years of hands-on experience in LLMs, NLP, or Machine Learning Strong product-building mindset B.Tech graduate Experience in early-stage product startups. Good coding skills in Python and familiarity with ML frameworks Experience integrating with GenAI APIs (OpenAI, Claude, etc.) Strong fundamentals in data structures, algorithms, and system design

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-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities . Collaborate with cross-functional teams to identify , analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. . Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. . Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. . Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. . Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. . Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . experience in data science, machine learning, AI applications, and generative AI modeling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modeling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. 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.

Your Role and Responsibilities 3+ years of experience in a Data Science, machine learning or a related field. Strong hands-on experience in Machine Learning and Statistics focusing on structured and unstructured data problems. Practical experience in several of the following areas: time series forecasting, clustering and classification techniques, regression, boosting algorithms, optimization techniques, NLP, recommendation systems, ElasticNet Excellent programming skills preferably in Python/Py spark and SQL Understanding of developing, implementing, deploying machine learning models on the cloud platforms(Azure, AWS, GCP) by using AWS/Azure Machine Learning, Data bricks, or other relevant cloud services Integrate machine learning models into existing systems and applications, ensuring seamless functionality and data flow Understanding of developing and maintaining MLOps pipelines for automated model training, testing, deployment, and monitoring Understanding of monitoring and analysing model performance, providing reports and insights to stakeholders as needed Familiarity with data processing and storage tools, such as SQL, Hadoop, or Spark Advanced engineering abilities to deliver flexible and scalable end-to-end machine learning solutions. Exposure to data visualization software and packages (Power BI, Tableau, matplotlib, d3) Understands challenges in business area, applicability of relevant data science disciplines, and system interactions. Excellent written and verbal communication skills, confidence in presenting ideas and findings to stakeholders, and ability to do so at the right level of detail. Required Technical and Professional Expertise Engineering Graduate from a reputed institute and/or Masters in Statistics, MBA 3+ years of Data science experience Strong expertise and deep understanding of machine learning. Strong understanding of SQL & Python. Knowledge of Power BI or Tableau is a plus Exposure to Industry specific (CPG, Manufacturing) use cases is required Strong client-facing skills Must be organized and detail oriented. Excellent communication and interpersonal skills Preferred Technical and Professional Experience Strong foundation in Supervised and Unsupervised Learning (Regression, Classification, Clustering, etc.). Proficiency in Ensemble Learning (Random Forest, Gradient Boosting, XGBoost, LightGBM, etc.). Experience in fine-tuning Large Language Models (LLMs) and working with open-source models (Llama, GPT, BERT, etc.). Familiarity with Prompt Engineering, RAG (Retrieval-Augmented Generation), and Fine-tuning techniques. Hands-on experience with Cloud Platforms (AWS, GCP, Azure) for ML model deployment. Familiarity with MLOps and Model Deployment using Kubernetes, Docker, and MLflow.

Role & responsibilities Preferred candidate profile b Description:- Generative AI Engineer Position Overview: We are looking for a Generative AI Engineer with expertise in Azure OpenAI and hands-on experience with models such as GPT-4o, GPT-o1, and open source LLMs like Llama, mistral. You will work on GenAI solutions development, RAG, fine-tuning, and deploying resources in Azure environment. Proficiency in prompt engineering, Python, PostgreSQL, FastAPI, Streamlit, Django and Angular is essential. This role also requires strong skills in AI models orchestration using intent mapping, Semantic Kernel or function calling, along with proficiency in presentation and public speaking. Key Responsibilities: • RAG, fine-tune, and deploy Azure OpenAI models (e.g., GPT-4o, GPT-o1) and other open-source large language models (LLMs). • Build AI-powered applications using frameworks such as FastAPI, Streamlit, Django, and Angular. • Design and execute AI workflows using tools like prompt flow, Semantic Kernel and implement function calling for complex use cases. • Conduct prompt engineering to improve model performance for specific business cases. • Visualize data and create user interaction insights using Power BI. • Ensure smooth deployment and maintenance of models on Azure cloud infrastructure, including scalability and optimization. • Prepare and deliver presentations, demos, and technical documentation to internal and external stakeholders. • Stay updated with advancements in generative AI, NLP, and machine learning to continuously improve models and methodologies. Required Skills & Qualifications: • Bachelors degree in Computer science, Artificial intelligence, Machine learning, or related field. • At least 2+ year of hands-on experience working on generative AI projects. • Strong expertise in Azure OpenAI models (GPT-4o, GPT-3.5, GPT-o1 etc.). • Proficient in Prompt Engineering, Python, Streamlit, Django, FastAPI, and Angular. • Basics of html, css, javascript, typescript and angular. • Basic understanding of neural networks, machine and transformer architectures. • Experience in retrieval-augmented generation (RAG) and fine-tuning Large language models. • Familiarity with AI model orchestration tools such as Semantic Kernel, intent mapping and function calling techniques. • Excellent public speaking and presentation skills to convey technical concepts to business stakeholders. • Azure Certified AZ900 or AI900 Preferred Qualifications: • Master’s degree in Artificial Intelligence, Machine Learning, or related field. • At least 3+ years of experience working on generative AI, NLP, and machine learning projects. • Strong understanding of neural networks, machine learning and transformer architectures. • Implemented GenAI solutions in production. • Familiarity with Automotive Industry • Hands on experience in RAG, RAFT and optimized fine-tuning. • Azure Certified AI-102, DP-100, AZ-204 or DP-203

AI/ML Associate Architect Basic Skills ( Must-Haves): 8+ years of experience in Designing and architecting solutions with artifacts and technical documents using LLM, Generative AI, RAG, and Agentic AI applications. Strong understanding of LLM, Generative AI, RAG, and Agentic AI applications. Creating detailed technical designs and documentation that accurately reflect the proposed solution and its components. Developing and implementing various types of solutions using programming languages such as Python, .Net , Java etc. Working with data scientists, engineers, and other stakeholders to understand and implement machine learning algorithms such as regression, classification, and clustering. Also design and implement machine learning models and algorithms. Excellent problem-solving skills and ability to think critically about complex systems. Experience working with cloud platforms such as Azure Cloud or AWS Cloud. Preferred Responsibilities (Nice-to-Haves): Possessing a certificate in ML (Machine Learning) and an Architect Certificate in Azure Cloud or AWS Cloud. Provide training and support to internal stakeholders on AI technologies and solutions Strong communication and collaboration skills, with the ability to work effectively in a team environment. Any Other: Experience working with large datasets and data processing tools, such as Spark or Hadoop. Familiarity with Agile development methodologies and version control systems, such as Git. Strong leadership, communication, and teamwork skills. Ability to learn quickly and adapt to new technologies. Key Responsibilities: Participate in the development of proof-of-concepts (POCs) and pilot projects to demonstrate AI-powered solutions Collaborate with sales teams to identify new business opportunities and develop go-to-market strategies Collaborating with cross-functional teams to understand business requirements and translate them into technical specifications. Leading teams on the latest AI tools and solutions, mentoring junior architects and developers, and providing guidance on best practices

Role & responsibilities AI/ML Years of experience: 3-10 years (with minimum 3 years of relevant experience) Key Skills: Python, Tensorflow, Generative AI Machine Learning, AWS , Agentic AI, Open AI, Claude, Fast API Preferred candidate profile

Role Overview: We are seeking an experienced and visionary AI & Distributed Systems Architect to lead the design and implementation of large-scale, AI-driven distributed systems. The successful candidate will pioneer transformative AI solutions, including leveraging Generative AI, Machine Learning (ML), sophisticated agentic workflows, and context-aware data platforms. You will play a crucial role in defining architecture strategies, driving innovation, and leading technical teams to deliver cutting-edge capabilities at scale. Key Responsibilities: Lead the architecture design, development, and deployment of AI-powered distributed systems. Develop scalable, reliable, and high-performance solutions using Generative AI, ML models, and advanced data platforms. Implement agentic workflows incorporating AI agents and context-memory solutions, utilizing technologies such as Typesense and vector search platforms. Collaborate closely with product, engineering, and data science teams to integrate AI/ML functionalities seamlessly across systems. Drive technical excellence, mentoring teams on best practices and innovative architectural approaches. Ensure robust security, compliance, and ethical standards are embedded within AI architectures. Continuously evaluate emerging technologies and methodologies to improve system performance and scalability. Qualifications: Bachelor's/Masters degree in Computer Science, AI, Data Science, or a related field. 8+ years of experience in architecting and implementing large-scale distributed systems. Proven expertise in Generative AI, LLMs (Large Language Models), AI/ML workflows, and realtime data platforms. Hands-on experience with agentic workflows, context-memory implementations, and technologies like Typesense, Elasticsearch, or equivalent vector search platforms. Strong proficiency in cloud-native technologies, Kubernetes, streaming platforms (Kafka/Pulsar), and data storage solutions (Iceberg, Delta Lake). Excellent leadership skills, with a demonstrated ability to mentor and guide technical teams. Exceptional communication skills, capable of articulating complex technical concepts clearly and effectively. Preferred Skills: Experience working in AI-first product environments. Familiarity with multi-tenant SaaS architectures. Prior experience disrupting traditional ITSM/ITAM workflows using AI. Contributions to open-source AI or data community projects. Join us to build a next-generation AI platform poised to revolutionize industry workflows through cutting-edge technology and innovation.

JD for Generative AI Specialist JD Junior / Senior Generative AI Specialist Year of experience Junior / Senior 4-6 Years or 6- 8 years Shift : 11AM - 8PM Location : Chennai. Mode : Work From Office Role - The Generative AI specialist should be building GenAI LLM model driven solution using State of the Art Models like ( OpenAI, Gemini, Claude) , Opensource Models ( llama, Mistral). Should have expertise in fine tuning and training models . Should have implemented projects with expertise on Agents, Tools and RAG solutions. Hands on expertise in integrating LLMs with VectorDB like chromadb, faiss, pinecone is required. Expertise in PEFT, Quantization of models is required. Experience in Tensorflow, Pytorch, Python, Hugging Face, Transformers is must. Expert in data preparation, analysis and hands one expertise in Deep Learning model development is preferred. Additional expertise in deploying models in AWS is desired but optional. Skills OpenAI, Gemini, LangChain, Transformers, Hugging Face, Python, Pytorch, Tensorflow, Vectordb( chromadb, faiss, pinecone) Project experience Atleast 1-2 live implementation of Generative AI driven solution implementation. Extensive experience in implementing chatbots, knowledge search and in NLP . Good expertise in implementing Machine learning and deep learning solutions for atleast 2 years. Perks and benefits Salary: As per industry standards & Additional Attractive Perks Interested candidates are requested to share their updated resumes with alentacquisition@metriqe.com

Were Hiring: AI Developer | Generative AI, LLMs, Vision Models | Hybrid | 2 PM 11 PM Shift Are you passionate about building cutting-edge AI solutions? Join us at Xebia , where innovation meets impact. Were looking for an experienced AI Developer (5+ years) with strong expertise in Python, LLMs, vision models, and generative AI , ready to work on transformative projects using tools like Azure AI Studio, RAG frameworks, and vector databases . What We’re Looking For: Programming : Python (expert-level), REST APIs, Git AI/ML : TensorFlow / PyTorch, LLMs, vision models, generative AI Azure : Azure AI Studio, Azure Blob Storage, Event Hub, Kafka Frameworks : LlamaIndex, RAG, Agentic frameworks Power BI : Basic dashboards and visualizations Others : SharePoint integration, prompt engineering Responsibilities: Develop AI solutions focusing on LLMs, vision, and generative AI Build and optimize RAG apps using vector databases and LlamaIndex Integrate models with Azure services and create event-driven pipelines Collaborate with senior AI teams to troubleshoot, document, and innovate Stay updated with emerging tools and frameworks Must-Have Qualifications: Bachelor’s in CS, Data Science, or related field Minimum 5+ years of AI/ML experience with hands-on expertise in Gen AI and LLMs Strong Azure ecosystem experience Immediate joiners or those with max 15 days notice only Shift : 2 PM – 11 PM IST Work Mode : Hybrid (3 days a week) from any Xebia office Location : Open to candidates across India (Preferred: Chennai, Pune, Gurugram, Bhopal, Jaipur, Hyderabad or Bangalore) How to Apply: Please share your updated CV and the details below to vijay.s@xebia.com Full Name: Total Experience: Current CTC: Expected CTC: Current Location: Preferred Location: Notice Period / Last Working Day (if serving notice): LinkedIn URL: Primary Skill Set: Kindly apply only if you haven’t recently applied or are not in process for any Xebia roles. If this sounds like a match—or if you know someone who’d be a great fit—let’s connect! #HiringNow #AIDeveloper #GenerativeAI #LLM #AzureAI #PythonJobs #ImmediateJoiners #XebiaCareers

Job Title: R Shiny Engineer/Data Scientist Required Experience: 3-4 years Job Description: As the Data Scientist, you will play a pivotal role in driving data-driven decision-making and advancing our organization's AI and analytical capabilities. You will lead a team of data scientists, collaborate with cross-functional teams, and contribute to the development and implementation of AI and advanced analytics solutions. This position requires a strong combination of technical expertise, leadership skills, and business acumen . Responsibilities: Team Leadership: Lead, mentor, and inspire a team of junior data scientists, fostering a collaborative and innovative work environment. Provide technical guidance, set priorities, and ensure the team's alignment with organizational goals. Conduct regular performance assessments and contribute to professional development plans. Strategy and Planning: Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data to achieve strategic goals. Develop and execute a data science roadmap, ensuring alignment with overall business and technology strategies. Stay abreast of industry trends, emerging technologies, and best practices in data science. Advanced Analytics and Statistical Modeling: Design, develop, and implement advanced machine learning models and statistical algorithms to extract insights and solve complex business problems. Apply robust statistical process control (SPC), univariate and multivariate analysis, and both parametric and non-parametric statistical techniques. Conduct hypothesis testing, PCA, Shapiro-Wilk test, Anderson-Darling test, Box-Cox transformation, and other statistical methods to ensure data quality and model validity. Work extensively with batch genealogy data and large manufacturing datasets to uncover patterns and optimize operational efficiency. Ensure strong statistical analysis support for both normal and non-normal distributions R Shiny Application Development: Develop and maintain robust, interactive R Shiny applications to support dynamic data exploration and decision-making platforms. Build scalable and user-driven front-end interfaces for real-time statistical analysis and visualization. Collaborate with backend engineers to integrate R Shiny platforms with Redshift and other data sources for seamless analytics delivery. Cross-functional Collaboration: Collaborate with cross-functional teams, including business analysts, software engineers, and domain experts, to integrate data science solutions into business processes. Communicate complex analytical findings to non-technical stakeholders in a clear and actionable manner. Data Governance and Quality: Establish and enforce data governance standards to ensure the accuracy, reliability, and security of data used for analysis. Work with data engineering teams to enhance data quality and integrity throughout the data lifecycle. Project Management: Oversee the end-to-end execution of data science projects, ensuring timelines, budgets, and deliverables are met. Provide regular project updates to stakeholders and manage expectations effectively. Technical Expertise: Provide technical guidance and execution for the latest GenAI technologies, including but not limited to LLM/SLM/VLM and Multi-modal AI Algorithms. Leverage Transformers for complex natural language processing-based tasks. Lead the development of deep learning technologies like computer vision for image processing, OCR/IDP, object detection and tracking, segmentation, Image generation, Convolutional Neural Networks, Capsule Networks, etc Development of core Machine Learning algorithms like time series analysis with Neural ODEs; Variational Autoencoders for Image Generation and anomaly detection; Provide oversight for core deep learning algorithms like Neural Architecture Search for optimization and Graph Neural Networks for molecular structures. Qualifications: Master's or Ph.D. in a quantitative field (Computer Science, Statistics, Mathematics, etc.) Minimum 1.5+ years of experience leading a team of junior data scientists, with a proven track record of successful project implementations. Proven experience in developing and deploying R Shiny applications for real-time analytics and statistical platforms. In-depth experience with SPC, hypothesis testing, PCA, Shapiro-Wilk test, Anderson-Darling test, Box-Cox transformation, and batch genealogy analysis. Experience in developing statistical solutions for both normal and non-normal distributions, and applying both univariate and multivariate techniques. Experience with GenAI, Agentic AI, LLM Training, and LLM-driven workflow development. Knowledge of large multi-modal models is a must. Experience in MLOps, Statistical Modeling, and Data Visualization. Must have experience with the development and implementation of various core Machine Learning algorithms mentioned above. Must have hands-on experience with Deep Learning technologies for computer vision and image processing, as well as core neural network applications like optimization. Experience in developing ML, AI, and Data Science solutions and putting solutions in production, with proficiency in Data Engineering, is desirable. Experience in the development and implementation of scalable and efficient data pipelines using AWS services such as SageMaker, S3, Glue, and/or Redshift. Excellent leadership, communication, and interpersonal skills. Experience with big data technologies and cloud platforms is a plus. Industry IT Services and IT Consulting

Job Title: TM-Data Scientist-Audit Innovation & Digital Transformation PURPOSE OF THE JOB To work as a junior data scientist and contribute to development of AI ML, NLP, and Gen AI solutions. Work on diverse projects involving data analysis, predictive modeling, AI/ML and Gen AI implementation while collaborating with cross-functional teams to drive data-driven analytics and decision making. KEY RESPONSIBILITIES Design and deploy machine learning pipelines for production environments Work with NLP techniques for text analysis, sentiment analysis Implement Gen AI solutions to automate content creation and data augmentation Contribute to Video Analytics projects using Computer Vision and Multi-modal LLMs Create clear, compelling data visualizations and dashboards using tools like Power BI or Python Document methodologies, findings, and model performance for reproducibility Present findings and recommendations to both technical and non-technical stakeholders Collaborate with engineers and business analysts to translate business requirements into analytical solutions Stay current with latest developments in AI/ML technologies and best practices Key Skills 1-2 years of hands-on experience in developing data science, AIML, NLP, Computer Vision, Gen AI solutions Proficiency in Python for data analysis and machine learning Experience with ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar frameworks Knowledge of NLP techniques and libraries (NLTK, spaCy, Hugging Face Transformers) Familiarity with generative AI models and their applications SQL proficiency for database querying and data manipulation Experience with data visualization tools and techniques Understanding of statistical concepts Educational Qualifications Bachelors or Masters degree in Computer Science, Engineering, or a related field. Certifications in areas such as Data Engineering, Cloud Skills, AI/ML, Gen AI will be an added advantage. Experience Required 1-2 years of experience in Data Science, AI ML, Gen AI. Job Location- Kanjurmarg, Mumbai.

Immediate/Early joiners preferred. Proven expertise in building ML & GenAI apps using RAG , Agentic AI, NLP, LLMs (Langchain, LlamaIndex). Strong in Python , TensorFlow, PyTorch, Azure , Databricks , MLOps, and secure data pipelines for all data types. Gratuity Health insurance

We are an award-winning multinational professional legal services firm that provides enterprise legal solutions to global corporations and law firms located on four continents. Our unique services include review, management, and analysis for document-intensive legal matters. We use world-class process management, quality control, and technologies that enable us to deliver measurably better services and results for our clients. We are seeking an energetic, goal-oriented, and intellectually curious Generative AI professional with 4 - 9 years of experience who is interested in working collaboratively with our team members. You will be part of a global team that supports a diverse and innovative technology environment. Responsibilities Your role will involve developing, maintaining, and optimizing AI-powered applications, leveraging the latest advancements in Generative AI and machine learning. Responsibilities include: Designing, developing, and deploying Generative AI models to solve business challenges. Training and fine-tuning AI systems, including custom language models and generative models. Leveraging cloud platforms (Azure) to scale and deploy AI solutions effectively. Collaborating with cross-functional teams to integrate AI functionalities into applications. Staying updated on AI advancements and incorporating innovative solutions into the firm's operations. Documenting processes, models, and solutions. Technical Skills Minimum 3 years of experience with Generative AI frameworks and tools (e.g., AI Foundry, Copilot Agents, Azure Assistant and OpenAI). Proficiency in machine learning and AI development, including fine-tuning large language models (Claude LLMs). Strong knowledge of Python and its AI/ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn). Experience with Azure AI services, including Azure OpenAI or Cognitive Services. Hands-on experience in web application development (REST APIs, HTTP, web services). Knowledge of modern JavaScript frameworks like React, TypeScript, or Blazor is a plus. Experience with containerization tools like Docker and version control systems like Azure DevOps. Microsoft Certifications (e.g., Azure AI Engineer) are a plus. Qualifications Bachelor's degree in Computer Science, AI, Data Science, or a related field. A passion for innovation and staying updated on the latest trends in AI and machine learning. Good problem solving skills and a collaborative mindset with the ability to work in a diverse and dynamic team environment. Our culture empowers our team members with respect, autonomy, transparency, and opportunity in a growth-oriented environment. We are an equal opportunity employer fostering an inclusive and supportive culture.

We are seeking a highly skilled Senior/Lead Data Scientist with deep expertise in AI/ML/Gen AI, including Deep Learning, Computer Vision, and NLP. The ideal candidate will bring strong hands-on experience, particularly in building, fine-tuning, and deploying models, and will work directly with customers with minimal supervision. This role requires someone who can not only lead and execute technical projects but also actively contribute to business development through customer interaction, proposal building, and RFP responses. You will be expected to take ownership of AI project execution and team leadership, while helping Tekdi expand its AI footprint. Key Responsibilities: Contribute to AI business growth by working on RFPs, proposals, and solutioning activities. Lead the team in delivering customer requirements, ensuring quality and timely execution. Develop and fine tune advanced AI/ML models using deep learning and generative AI techniques. Fine-tune and optimize Large Language Models (LLMs) such as GPT, BERT, T5, and LLaMA. Interact directly with customers to understand their business needs and provide AI-driven solutions. Work with Deep Learning architectures including CNNs, RNNs, and Transformer-based models. Leverage NLP techniques such as summarization, NER, sentiment analysis, and embeddings. Implement MLOps pipelines and deploy scalable AI solutions in cloud environments (AWS, GCP, Azure). Collaborate with cross-functional teams to integrate AI into business applications. Stay updated with AI/ML research and integrate new techniques into projects. Required Skills & Qualifications: Minimum 6 years of experience in AI/ML/Gen AI, with at least 3+ years in Deep Learning/Computer Vision. Strong proficiency in Python and popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn). Hands-on experience with LLMs and generative models (e.g., GPT, Stable Diffusion). Experience with data preprocessing, feature engineering, and performance evaluation. Exposure to containerization and cloud deployment using Docker, Kubernetes. Experience with vector databases and RAG-based architectures. Ability to lead teams and projects, and work independently with minimal guidance. Experience with customer-facing roles, proposals, and solutioning. Educational Requirements: Bachelors, Master’s, or PhD in Computer Science, Artificial Intelligence, Information Technology, or related field. Preferred Skills (Good to Have): Knowledge of Reinforcement Learning (e.g., RLHF), multi-modal AI, or time-series forecasting. Familiarity with Graph Neural Networks (GNNs). Exposure to Responsible AI (RAI), AI Ethics, or AutoML platforms. Contributions to open-source AI projects or publications in peer-reviewed journals.