1443 Generative Ai Jobs - Page 34

Job Summary: We are looking for an innovative and technically skilled Generative AI Developer with 2 - 4 years of experience to join our team, focusing on the development and deployment of intelligent agents using Agentforce, Salesforces GenAI platform, or similar frameworks. The ideal candidate will be passionate about applying large language models (LLMs) to real-world business workflows, building conversational agents, and delivering high-impact AI-powered solutions within the Salesforce ecosystem and beyond. Key Responsibilities: • Design, develop, and deploy Generative AI agents using Agentforce, LLMs (like GPT-4), and related frameworks. • Build and integrate intelligent, context-aware workflows into CRM, support, and operational systems. • Collaborate with cross-functional teams (Product, Engineering, Data, and Business) to understand business challenges and deliver scalable AI solutions. • Fine-tune and prompt LLMs for specific use cases such as market outreach, sales assistance, document summarization, and automation tasks. • Maintain and optimize agent performance through evaluation, prompt engineering, and feedback loops. • Stay up-to-date with the latest in generative AI, Salesforce AI tools (Einstein Copilot, Agentforce), and open-source frameworks. • Create technical documentation and provide support for production deployments and ongoing enhancements. Qualifications Required : • 2 - 4 years of experience in AI/ML or Software Development, with at least 1 year working directly with LLMs or GenAI applications. • Hands-on experience with Agentforce, OpenAI, LangChain, or other GenAI frameworks. • Proficiency in Python, JavaScript, or relevant programming languages for AI agent development. • Experience integrating GenAI capabilities into Salesforce, web apps, or enterprise systems. • Strong understanding of prompt engineering, vector databases, and agent orchestration. Preferred : • Experience with Salesforce Einstein Copilot, Salesforce Data Cloud, or MuleSoft integration. • Familiarity with LLMOps, model evaluation, or responsible AI best practices. • Knowledge of REST APIs, OAuth, and cloud platforms (AWS, GCP, Azure). Preferred candidate profile

Job Description: Role Overview We are seeking a highly skilled AI Engineer with 8-12 years of experience to lead the development of Generative AI (GenAI) and Machine learning solutions for internal projects. This role requires a self-driven leader with exceptional communication, strategic thinking, and expertise in data analytics and visualization to deliver innovative GenAI tools tailored to internal team needs while driving cross-functional collaboration. Key Responsibilities GenAI Development: Design and develop advanced GenAI models (e.g., LLMs, DALL E models) and AI Agents to automate internal tasks and workflows. Exposure to LLMs: Utilize Azure Open AI APIs, experience on models like GPT4o, O3 , llama3 Enhance the existing R AG based application: In depth understanding of stages of RAG - chunking, retrieval etc. Cloud Deployment: Deploy and scale GenAI solutions on Azure Cloud services (e.g., Azure Function App) for optimal performance. In depth understanding of ML models like linear regression, random forest, decision trees. In depth understanding on clustering and supervised models. AI Agent Development: Build AI agents using frameworks like LangChain to streamline internal processes and boost efficiency. Data Analytics : Perform advanced data analytics to preprocess datasets, evaluate model performance, and derive actionable insights for GenAI solutions. Data Visualization: Create compelling visualizations (e.g., dashboards, charts) to communicate model outputs, performance metrics, and business insights to stakeholders. Stakeholder Collaboration: Partner with departments to gather requirements, align on goals, and present technical solutions and insights effectively to non-technical stakeholders. Model Optimization: Fine-tune GenAI models for efficiency and accuracy using techniques like prompt engineering, quantization, and RAG (Retrieval-Augmented Generation). LLMOps Best Practices: Implement GenAI-specific MLOps, including CI/CD pipelines (Git, Azure DevOps) Leadership: Guide cross-functional teams, mentor junior engineers, and drive project execution with strategic vision and ownership. Helicopters, strategic Thinking: Develop innovative GenAI strategies to address business challenges, leveraging data insights to align solutions with organizational goals. Self-Driven Execution: Independently lead projects to completion with minimal supervision, proactively resolving challenges and seeking collaboration when needed. Continuous Learning: Stay ahead of GenAI, analytics, and visualization advancements, self-learning new techniques to enhance project outcomes. Required Skills & Experience : 8-12 years in AI/ML development, with at least 4 years focused on Generative AI and AI agent frameworks. Education: BTech/BE in Computer Science, Engineering, or equivalent (Masters or PhD in AI/ML is a plus). Programming: Expert-level Python proficiency, with deep expertise in GenAI libraries (e.g., LangChain, Hugging Face Transformers, PyTorch, Open AI SDK) and data analytics libraries (e.g., Pandas, NumPy), sk-learn. Mac Data Analytics: Strong experience in data preprocessing, statistical analysis, and model evaluation to support GenAI development and business insights. Data Visualization: Proficiency in visualization tools (e.g., Matplotlib, Seaborn, Plotly, Power BI, or Tableau) to create dashboards and reports for stakeholders. Azure Cloud Expertise: Strong experience with Azure Cloud services (e.g., Azure Function App, Azure ML, serverless) for model training and deployment. GenAI Methodologies : Deep expertise in LLMs, AI agent frameworks, prompt engineering, and RAG for internal workflow automation. Deployment : Proficiency in Docker, Kubernetes, and CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for production-grade GenAI systems. LLMOps: Expertise in GenAI MLOps, including experiment tracking (e.g., Weights & Biases), automated evaluation metrics (e.g., BLEU, ROUGE), and monitoring. Communication: Exceptional verbal and written skills to articulate complex GenAI concepts, analytics, and visualizations to technical and non-technical stakeholders. Strategic Thinking: Ability to align AI solutions with business objectives, using data-driven insights to anticipate challenges and propose long-term strategies. Problem-Solving : Strong analytical skills with a proactive, self-starter mindset to independently resolve complex issues. Collaboration: Collaborative mindset to work effectively across departments and engage colleagues for solutions when needed. Preferred Skills Experience deploying GenAI models in production environments, preferably on Azure Familiarity with multi-agent systems, reinforcement learning, or distributed training (e.g., DeepSpeek). Knowledge of DevOps practices, including Git, CI/CD, and infrastructure-as-code. Advanced data analytics techniques (e.g., time-series analysis, A/B testing) for GenAI applications. Experience with interactive visualization frameworks (e.g., Dash, Streamlit) for real-time dashboards. Contributions to GenAI or data analytics open-source projects or publications in NLP, generative modeling, or data science

Job Overview We are seeking a highly experienced Senior AI Developer with extensive expertise in the latest generative AI (GenAI), agentic AI, and other cutting-edge artificial intelligence technologies. The ideal candidate has a proven track record of designing and deploying advanced AI solutions in dynamic, data-intensive environments. This role is perfect for an innovative thinker who thrives in fast-paced settings and is eager to push the boundaries of AI technology. ________________________________________ Key Responsibilities Advanced AI Development: Architect, develop, and implement AI models and systems, with a strong focus on generative and agentic AI. Leverage state-of-the-art algorithms and frameworks to build scalable and high-performance AI applications. Research & Innovation: Stay abreast of the latest trends and breakthroughs in AI, particularly in GenAI and agentic AI. Experiment with novel approaches and techniques to drive innovation and enhance product capabilities. Collaboration & Integration: Work closely with cross-functional teamsincluding data scientists, software engineers, and product managers—to integrate AI solutions into existing systems. Ensure seamless data flow and optimal performance across various platforms. Code Quality & Mentorship: Write robust, clean, and maintainable code. Lead technical discussions, perform code reviews, and mentor junior developers, fostering a culture of continuous learning and excellence. Performance Optimization & Scalability: Optimize AI models for efficiency and scalability. Address performance bottlenecks and continuously monitor system performance to ensure reliability and accuracy. ________________________________________ Required Qualifications Experience: Extensive industry experience in AI development, with a strong portfolio that demonstrates proficiency in generative AI and agentic AI applications. Technical Skills: AI Frameworks & Libraries: Hands-on experience with modern AI frameworks (e.g., TensorFlow, PyTorch) and familiarity with emerging generative AI platforms. Programming Languages: Proficiency in Python, with exposure to additional languages like Rust or C++ considered a plus. Data Management: Expertise in handling large-scale, data-intensive environments and designing efficient data pipelines. Core Competencies: Strong analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions. Excellent communication skills for effective collaboration across diverse teams. Familiarity with Agile methodologies and best practices in software development. ________________________________________ Preferred Qualifications Advanced degrees (Master’s/Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience with cloud-based AI solutions and infrastructure (e.g., AWS, Azure, Google Cloud). Proven track record of contributing to AI research publications or patents in the field of generative and agentic AI. Knowledge of ethical AI practices and ensuring model fairness, transparency, and accountability.

As an AI/ML Consultant, you will be responsible for designing and overseeing the architecture of AI and machine learning solutions. You will work closely with data scientists, engineers, and business stakeholders to ensure that our AI/ML initiatives are scalable, robust, and aligned with business objectives. Your expertise in machine learning, deep learning, natural language processing (NLP), and generative AI will be crucial in guiding the development and deployment of advanced AI solutions. Responsibilities: Design and architect end-to-end AI/ML solutions that meet business requirements and technical specifications. Develop and implement scalable machine learning and deep learning models, ensuring they integrate seamlessly into existing systems. Create architectures for NLP applications, including text processing, sentiment analysis, named entity recognition, and language modelling. Leverage generative AI and large language models (LLMs) to develop innovative applications. Collaborate with data engineers to design data pipelines and ensure data quality and accessibility. Provide technical leadership and guidance to data scientists and engineers throughout the development lifecycle. Evaluate and select appropriate AI/ML tools, frameworks, and technologies to meet project needs. Ensure best practices in AI/ML model development, including versioning, testing, and validation. Stay updated with the latest advancements in AI/ML technologies and incorporate them into architectural designs. Communicate complex AI/ML concepts and solutions effectively to non-technical stakeholders. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Proven experience (8+ years) in designing and implementing AI/ML solutions, with a strong focus on machine learning, deep learning, NLP, and generative AI. Extensive experience with machine learning algorithms, model development, and deployment. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, and Keras. Strong expertise in NLP techniques and tools, including experience with LLMs like Gemini, GPT, BERT, etc. Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services. Knowledge of big data technologies and tools such as Hadoop, Spark, and Kafka. Proficiency in programming languages such as Python, R, and Java. Excellent problem-solving skills and the ability to design robust, scalable AI/ML architectures. Strong communication skills, with the ability to present technical concepts to both technical and non-technical audiences. Experience in leading and mentoring technical teams. Preferred Qualifications: Experience with MLOps practices and tools for continuous integration and deployment of machine learning models. Familiarity with data visualization tools such as Looker, Tableau, Power BI, or similar.

Responsibilities: * Develop computer vision models using generative AI techniques. * Optimize model performance through LLM integration. * Collaborate with cross-functional teams on project delivery. Share your resumes to sruthi.gali@liftu.tech

Exposure to Cloud technologies, Generative AI is must As a member of the software engineering division, you will apply intermediate to advanced knowledge of software architecture to perform software development tasks associated with developing, debugging or designing software applications or operating systems according to provided design specifications. You will also build enhancements within an existing software architecture and occasionally suggest improvements to the architecture. You will be working with the Product Management and the engineering leads, contributing to the analysis of the customer requirements and product specifications, and helping to come up with the mapped technical specifications. As a senior member of the team, you are also expected to pro-actively co-ordinate cross-team interactions as well as provide mentorship to the junior members. Description Department Description The world's most complete customer relationship management (CRM) solution, Oracle's CX industry Solutions helps organizations differentiate their businesses to achieve maximum top-and bottom-line growth. Cx industry solutions delivers a combination of transactional, analytical, and engagement features to manage all customer-facing operations. With solutions tailored to more than 20 industries, CX industry solutions delivers comprehensive on premise and on demand CRM solutions that are tailored industry solutions with ole-based customer intelligence and pre-built integration. We have dedicated Development, Quality and Product Management teams spread across the Oracle HQ and India Development Centre, working together as a single team across a wide spectrum of technologies involved in areas such as user experience, enterprise integration, business rules and workflow processing, mobile CRM and social CRM. As a member of the Core division, you will be working with world class engineers and QA engineers, engineering enhancements and new products for the platform and the framework, on which the CRM applications run in heterogeneous, distributed and large volume enterprise deployments. Role Objective: Short Description about the Role As a member of the software engineering division, you will apply intermediate to advanced knowledge of software architecture to perform software development tasks associated with developing, debugging or designing software applications or operating systems according to provided design specifications. You will also build enhancements within an existing software architecture and occasionally suggest improvements to the architecture. You will be working with the Product Management and the engineering leads, contributing to the analysis of the customer requirements and product specifications, and helping to come up with the mapped technical specifications. As a senior member of the team, you are also expected to pro-actively co-ordinate cross-team interactions as well as provide mentorship to the junior members. Qualification: 5 to 12 years of work experience in enterprise software product development Bachelors or Masters degree in Computer Science or Engineering Experience in these programming languages: C++ Experience in SQL, Git/Version Control system Experience in OOP/OOD and Data Modeling Strong knowledge in business application design and architecture. Strong Communication and problem solving skills . Design patterns, software architecture , Cloud Native architecture are desirable Exposure to REST, Microservices, ML/Python, Java Exposure to web development concepts and technologies such as HTML, CSS, and JavaScript Exposure to Cloud technologies, Generative AI Exposure to Docker/Kubernetes, CI/CD concepts and tools Exposure to Scrum Process, JIRA Responsibilities Analyze, design develop, troubleshoot and debug software programs for commercial or end user applications. Writes code, completes programming and performs testing and debugging of applications. As a member of the software engineering division, you will perform high-level design based on provided external specifications. Specify, design and implement minor changes to existing software architecture. Build highly complex enhancements and resolve complex bugs. Build and execute unit tests and unit plans. Review integration and regression test plans created by QA. Communicate with QA and porting engineering as necessary to discuss minor changes to product functionality and to ensure quality and consistency across specific products.

Looking for immediate to 15 days joiners and candidates should be currently located in Bangalore or Chennai. Total Experience : 7+ years Interview Mode : Virtual plus Face to Face Team Management experience in must. 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 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. 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. Preferred candidate profile 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. o 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. If interested, Kindly revert with your updated resume at kritika_gupta@persolapac.com. Thanks & Regards Kritika Gupta Lead Consultant Persolkelly CONFIDENTIAL NOTE: By submitting your resume or personal data, you acknowledge reading and agreeing to our Privacy Policy . You hereby provide voluntary consent to the collection, use, processing, and disclosure of your data by us and our affiliates, in line with the Privacy Policy . and applicable laws. If you wish to withdraw your consent or have any concerns, you may submit a request to our designated consent manager, as outlined in our Privacy Policy . We prioritize your privacy. SECURITY NOTE: We at PERSOLKELLY India or our representatives, do not ask job seekers for fees, personal banking information, or payments through unofficial channels. Official communications will only come from @persolkelly.com. Report any suspicious activity to Contactus_in@persolkelly.com . Click here to find out how you can safeguard yourself from job scams.

Job Summary As a leader in the EDO, Collection Platforms & AI Cognitive Engineering team, you will own the vision and delivery of enterprise-scale Data Science and GenAI solutions. You will define the data science strategy , champion best practices , mentor a world-class team of data scientists and ML engineers , and drive production-ready AI/ML products from ideation through deployment. This role involves working in a global team that values thoughtful risk-taking and self-initiative. Key Responsibilities Shape and execute the Data Science roadmap for ML, GenAI, and ASR, including tooling, methodologies, and best practices. Architect, develop, and deploy large-scale ML and GenAI pipelines, including Voice Activity Detection (VAD), Speaker Diarization, and ASR models. Own the full data science lifecycle, from opportunity identification and requirement gathering to modeling, deployment, monitoring, and optimization. Drive MLOps practices, including CI/CD for models, feature stores, monitoring, and automated rollback strategies. Mentor and develop junior and mid-level data scientists, fostering a culture of continuous learning and collaboration. Partner with cross-functional stakeholders to align on project goals, timelines, and SLAs. Core Requirements 8+ years of hands-on experience in Data Science/AI, with at least 3 years in a senior or leadership role. Proven expertise in developing and deploying ASR systems, including training models (e.g., Whisper), designing VAD pipelines, and implementing Speaker Diarization (e.g., Pyannote). Deep knowledge of large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning, and embedding-based retrieval. Expert proficiency in Python and its core libraries, including NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, and Hugging Face Transformers. Strong understanding of ML & deep learning architectures like NLP transformers and GNNs. Experience with orchestration and deployment tools such as Docker, Kubernetes, Airflow, and cloud services (AWS/GCP/Azure). Good to Have A Master's or Ph.D. in a related technical field (Computer Science, Statistics, etc.). Prior experience in the Economics/Financial industry. Public contributions on platforms like GitHub, Kaggle, or technical blog

Job description Roles and Responsibilities: As a, Data scientist / Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve predefined outcomes. Engage with clients to understand current and future business goals and translate business problems into analytical frameworks Develop custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs Create repeatable, interpretable and scalable models Effectively communicate the analytics approach and insights to a larger business audience Collaborate with team members, peers and leadership at Tredence and client companies Qualification: Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience. 7+ years of experience in data science, building hands-on ML models Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain) Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc. Experience leading the end-to-end design, development, and deployment of predictive modeling solutions. Excellent programming skills in Python. Strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc. Advanced SQL skills with SQL Server and Spark experience. Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling. Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment Experience with data visualization tools PowerBI, Tableau, R Shiny, etc. preferred Experience with cloud platforms such as Azure, AWS is preferred but not require Seniority Level AssociateRole & responsibilities Preferred candidate profile

Were Hiring: Machine Learning Developer | Noida (Sector 90) Are you ready to accelerate your ML career at a fast-growing B2B SaaS startup? Join a dynamic team that's solving real-world problems with cutting-edge machine learning technologies! Role: Machine Learning Developer Experience: 3.5 to 5 Years Location: Sector 90, Noida Work Mode: 5 Days | Work From Office Notice Period: Immediate to 30 Days Key Responsibilities: Develop and deploy scalable machine learning models Design robust data and AI pipelines Optimize ML workflows for efficiency and performance Maintain and retrain production models as needed What We’re Looking For: Strong Python, PyTorch, Langchain & SQL skills Hands-on with Spark, Dask, Airflow, or Dagster Experience with cloud platforms: AWS, GCP, or Azure Familiarity with MLOps tools: MLflow, Kubeflow, Docker, Kubernetes Bachelor’s/Master’s in CS, AI, Data Science, or related field Interested in or know someone great? Send your resume to gautam@mounttalent.com.

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 modelling. . 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 modelling, 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.

Skills : Python AI/ML & ML Ops Practices Machine Learning and deep Learning Cloud - GCP/AWS/Azure AI/Ml,NLP,LLM DevOps - Docker, Kubernetes, and Git Frontend development and API integration We are seeking a talented and experienced AI Engineer to join our dynamic team. Theideal candidate will have a strong background in Python programming, with extensiveexperience in API development, microservices, and working with both SQL and NoSQLdatabases. Familiarity with Python frameworks such as Flask and FastAPI is essential. Thisrole involves developing high-quality, scalable, and robust applications and services,contributing to a range of projects that make a real impact. Key Responsibilities: Design, build, and maintain efficient, reusable, and reliable Python code. Develop and maintain RESTful APIs and services. Work with SQL and NoSQL databases to store and manipulate data effectively. Build scalable microservices and integrate them into larger application ecosystems. Collaborate with cross-functional teams to understand user requirements andprovide technical solutions. Contribute to all phases of the development lifecycle, from concept to deploymentand maintenance. Troubleshoot, test, and maintain the core product software to ensure strongoptimization and functionality. Keep up-to-date with the latest industry trends and technologies in Pythondevelopment.

building various Machine Learning, Deep Learning regression experience in Generative AI tech stack Prompt engineering, ChatGPT Ollama,Gemini, RAG frameworks TensorFlow, Pytorch Huggingface librariesLlamaIndex Langchain Python Visualization Python

Cloud, Artificial Intelligence, Data Engineering Skill to Evaluate : Cloud, Artificial Intelligence, Data Engineering Experience : 6 to 10 Years Location : Bengaluru Job Description : Job Summary: We are looking for an experienced Cloud AI and Data Engineer with a strong background in cloud-native data solutions, AI/ML engineering, and emerging Generative AI (GenAI) technologies. The ideal candidate will have 68 years of hands-on experience in building robust data platforms, deploying scalable ML models, and integrating GenAI solutions across cloud environments. Key Responsibilities: Build and maintain scalable data pipelines and infrastructure for AI and analytics using cloud-native tools (e.g., AWS Glue, Azure Data Factory, GCP Dataflow) Design and implement production-ready GenAI applications using services like Amazon Bedrock , Azure OpenAI , or Google Vertex AI Develop and deploy AI/ML models including transformer-based and LLM (Large Language Model) solutions Integrate GenAI with enterprise workflows using APIs, orchestration layers, and retrieval-augmented generation (RAG) patterns Collaborate with data scientists, product managers, and platform teams to operationalize AI-driven insights and GenAI capabilities Build prompt engineering frameworks, evaluate output quality, and optimize token usage and latency for GenAI deployments Set up monitoring, drift detection, and governance mechanisms for both traditional and GenAI models Implement CI/CD pipelines for data and AI solutions with automated testing and rollback strategies Ensure cloud solutions adhere to data privacy, security, and regulatory compliance standards Required Skills & Qualifications: 68 years of experience in data engineering or machine learning engineering in cloud environments (AWS, Azure, or GCP) Proficiency in Python and SQL; familiarity with PySpark, Java, or Scala is a plus Experience working with GenAI models such as GPT, Claude, or custom LLMs via cloud services (e.g., Bedrock, Azure OpenAI, HuggingFace) Hands-on with prompt design, fine-tuning, vector stores (e.g., FAISS, Pinecone), and knowledge base integrations Experience with MLOps and LLMOps tools (e.g., MLflow, LangChain, SageMaker Pipelines, Weights & Biases) Solid understanding of containerization (Docker), orchestration (Kubernetes), and microservices Knowledge of data lake/warehouse platforms such as S3, Snowflake, BigQuery, or Redshift Familiar with governance frameworks, access control, and responsible AI practices Preferred Qualifications: Certifications in Cloud AI/ML platforms (e.g., AWS Certified Machine Learning, Azure AI Engineer) Experience building RAG systems, vector database search, and multi-turn conversational agents Exposure to real-world GenAI use cases like code generation, chatbots, document summarization, or knowledge extraction Knowledge of OpenAPI, JSON schema validation, and API lifecycle tools

Seeking expert faculty to teach Generative AI tools like Runway ML, Midjourney, Stable Diffusion,ChatGPT, and Prompt Engineering. Must guide students in creative AI applications, prompt crafting, and hands-on project-based learning. Health insurance Provident fund

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile Strong proficiency in Python and frameworks like TensorFlow or PyTorch. 2+ years of experience in GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Role & responsibilities We are looking for Data Scientist position permanent position with US MNC for Gurgaon location. Job Posting Title: Data Scientist What does a Data Scientist do? As a data scientist, you will be responsible for analyzing and interpreting complex data sets to identify patterns and insights. You will be developing data models and algorithms to support the project needs. Implement data validation strategies to ensure high data quality. Collaborate with AI/ML engineers to integrate data models into the conversion engine system. Present findings and recommendations to stakeholders and management. Not being afraid to fail fast is one of the essential tools an NL Data Scientist can have in the cutting-edge technology market. What you will do: Develop AI-Driven Data Conversion Application: Utilize AI technologies to develop a comprehensive data conversion application. Data Mapping: Implement AI algorithms for accurate data mapping from source to target. Code Generation: Automate code generation using AI models. Data Validation: Apply AI-driven validation techniques to ensure data integrity and quality. Code Conversion: Facilitate seamless code conversion using AI algorithms. Collaboration: Work with data engineers, software developers, AI solution engineers, and business analysts to integrate the data conversion application. Monitor and Troubleshoot: Continuously monitor and troubleshoot the AI-driven application to ensure optimal functionality. Documentation: Maintain detailed documentation of methodologies and processes used in the application development. Stay Updated with Technologies: Keep up-to-date with the latest AI, data science, and data conversion technologies to enhance the application. What you will need to have: Bachelors or Masters Degree in Data Science, Computer Science, Artificial Intelligence, or a related field. Proficiency in Programming Languages such as Python, SQL, and other relevant languages. Experience with AI/ML Frameworks like TensorFlow, PyTorch, or similar. Knowledge of Data Mapping Techniques: Experience with AI-driven tools and methodologies for data mapping.• Strong Code Generation Skills: Experience in developing AI models for automating code generation. Experience with Data Validation: Implementing AI-based validation techniques. Familiarity with Code Conversion: Understanding AI algorithms for code conversion. Experience with Databases like SQL Server and MongoDB. Collaboration Skills: Ability to work effectively with cross-functional teams. Problem-Solving Skills: Strong ability to identify issues and develop creative solutions. Attention to Detail: Ensure accuracy and reliability of data conversions. 5+ Years of Relevant Experience in data science or a related field. Willingness to Fail Fast and learn from mistakes in the fast-paced technology market. Preferred qualifications for consideration: Experience in the Financial Services Industry and an understanding of compliance standards. Certification in Data Science or AI/ML. Experience with Master data management, Data Wrangling and ETL Processes. Familiarity with DevOps Tools like Jira, Confluence, and BitBucket. Experience with data and AI/ML Technologies: Such as NLP/NLU, Azure Cognitive Services, Azure Synapse Analytics, Azure data bricks and Azure ML service. Previous Experience Delivering AI Solutions for complex data or conversions: Seamless Data Schema Conversion, AI-Driven Data Validation for Migration Accuracy, Intelligent Code Generation for Data Transformation Scripts , Historical Data Transformation and Archiving, Intelligent Error Detection and Correction, AI-Augmented Data Reconciliation

Role & responsibilities We are looking for Gen AI Engineer permanent position with MNC company for Remote. Preferred candidate profile Senior Gen AI Engineer GenAI / ML (Python, Langchain) Full Time Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Role & responsibilities We are looking for Senior Gen AI Engineer permanent position with MNC company for Remote. Preferred candidate profile Senior Gen AI Engineer GenAI / ML (Python, Langchain) Full Time Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. Translate business needs into scalable, production-ready AI solutions. Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: Proficient in Python, Langchain, and SQL. Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. Background in machine learning or software engineering with a focus on system-level thinking. Experience working with cloud platforms like AWS, Azure, or GCP. Ability to work independently while collaborating effectively across teams. Excellent communication and stakeholder management skills. Preferred Qualifications: Hands-on experience in LLMs and Generative AI techniques. Experience contributing to ML/AI product pipelines or end-to-end deployments. Familiarity with MLOps and scalable deployment patterns for AI models. Prior exposure to client-facing projects or cross-functional AI teams.

Min 1-3 yrs of exp in data science,NLP&Python Exp in PyTorch,Scikit-learn,and NLP libraries(NLTK,SpaCy,Hugging Face) Help deploy AI/ML solutions on AWS,GCP/Azure Exp in SQL for data manipulation & analysis Exp in Big Data processing Spark,Pandas,Dask

Key Responsibilities Design and develop AI solutions that address real-world business challenges, ensuring alignment with strategic objectives and measurable outcomes. Work with large-scale structured and unstructured datasets, leveraging modern data frameworks, tools, and platforms. Establish and maintain robust standards for data security, privacy, and regulatory compliance across all AI and data workflows. Collaborate closely with cross-functional teams to gather requirements, share insights, and deliver high-impact solutions. Monitor and maintain production AI systems to ensure continued accuracy, scalability, and reliability over time. Stay up to date with the latest advancements in AI, machine learning, and data engineering, and apply them where relevant. Write clean, well-documented, and maintainable code, and actively contribute to team best practices and technical documentation. Required Skills & Qualifications Bachelors or Masters degree in Computer Science, Data Science, or a related field Strong programming skills in Python (preferred) and experience with AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, or Hugging Face Experience designing and deploying machine learning models and AI systems in production environments Familiarity with modern data platforms and cloud services (e.g., Azure, AWS, GCP), including AutoML and MLflow Proficiency with data processing tools and frameworks (e.g., Spark, Pandas, SQL) and working with both structured and unstructured data Experience with Generative AI technologies, including prompt engineering, vector databases, and RAG (Retrieval- Augmented Generation) pipelines Solid understanding of data security, privacy, and compliance principles, with experiencng implementing these in real-world projects Strong problem-solving skills and ability to translate complex business problems into technical solutions Excellent communication and collaboration skills, with the ability to work effectively across technical and non- technical teams Experience with version control (e.g., Git) and agile development practices Enthusiasm for learning and applying emerging technologies in AI and machine learning

Manager Data Science Experience: 8-14 Years Exp Salary: 45 LPA to 50 LPA Preferred Notice Period : Within 30 Days Opportunity Type: Office (Hyderabad) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Python, LLM, GenAI, Tensorflow, PyTorch, HuggingFace, NLP Blend360 (One of Uplers' Clients) is looking for: About Blend360: Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology, and analytics. The company has two divisions: Data Science Solutions. We work at the intersection of data, technology, and analytics. Talent Solutions: We live and breathe the digital and talent marketplace. Job Description We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making. The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities 1. Conversational AI & Call Transcription Development Develop and fine-tune automatic speech recognition (ASR) models Implement language model fine-tuning for industry-specific language. Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. 2. NLP & Generative AI Applications Build summarization models to extract key insights from conversations. Implement Named Entity Recognition (NER) to identify key topics. Apply LLMs for conversation analytics and context-aware recommendations. Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. 3. Sentiment Analysis & Decision Support Develop sentiment and intent classification models. Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. 4. AI Deployment & Scalability Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. Implement MLOps workflows to continuously improve model performance with new call data. Qualifications Technical Skills Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI. Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text. Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers. Experience with LLM fine-tuning, RAG-based architectures, and LangChain. Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval. Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask. Soft Skills Ability to translate AI insights into business impact. Strong problem-solving skills and ability to work in a fast-paced AI-first environment. Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders. Preferred Qualifications Experience in healthcare, pharma, or life sciences NLP use cases. Background in knowledge graphs, prompt engineering, and multimodal AI. Experience with Reinforcement Learning (RLHF) for improving conversation models. Interview Process Step 1: Online Assessment Step 2: Technical Screenings 1: 1 Technical Screening with Technical Panel (45 mins) 1 Technical round with Senior Technical Panel (45 mins) Step 3: Technical Interviews 2 : 1 Technical rounds of Interview with Reporting Manager (45 mins) Agenda: To assess on technical parameters giving white board programming, problem solutioning and story telling 1 Technical rounds of Interview with Project Manager (45 mins) To assess on overall fitment Step 4: 1 Project Review (45 mins): 30 mins of presentation any chosen related topic with minimum 6 - 8 slides 10 - 15 mins Question and Answers by panels All interviewers will be part of the discussion. Step 5 : Client Interview (45 mins) How to apply for this opportunity: Easy 3 Step Process: 1. Click On Apply and register or log in to our portal 2.Upload updated Resume & complete the Screening Form 3. Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Lead Data Science Experience: 5-8 Years Exp Salary: 35 LPA to 43 LPA Preferred Notice Period : Within 30 Days Opportunity Type: Office (Hyderabad) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Python, LLM, GenAI, Tensorflow, Retrieval Augmented Generation(RAG) Blend360 (One of Uplers' Clients) is looking for: About Blend360: Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology, and analytics. The company has two divisions: Data Science Solutions. We work at the intersection of data, technology, and analytics. Talent Solutions: We live and breathe the digital and talent marketplace. Job Description We are hiring a Lead Data Scientist (Generative AI) to spearhead the development of advanced AI-powered classification and matching systems on Databricks. You will contribute to flagship programs like the Diageo AI POC by building RAG pipelines, deploying agentic AI workflows, and scaling LLM-based solutions for high-precision entity matching and MDM modernization. Key Responsibilities Design and implement end-to-end AI pipelines for product classification, fuzzy matching, and deduplication using LLMs, RAG, and Databricks-native workflows. Develop scalable, reproducible AI solutions within Databricks notebooks and job clusters, leveraging Delta Lake, MLflow, and Unity Catalog. Engineer Retrieval-Augmented Generation (RAG) workflows using vector search and integrate with Python-based matching logic. Build agent-based automation pipelines (rule-driven + GenAI agents) for anomaly detection, compliance validation, and harmonization logic. Implement explainability, audit trails, and governance-first AI workflows aligned with enterprise-grade MDM needs. Collaborate with data engineers, BI teams, and product owners to integrate GenAI outputs into downstream systems. Contribute to modular system design and documentation for long-term scalability and maintainability. Qualifications Bachelors/Masters in Computer Science, Artificial Intelligence, or related field. 7+ years of overall Data Science experience with 2+ years in Generative AI / LLM-based applications. Deep experience with Databricks ecosystem: Delta Lake, MLflow, DBFS, Databricks Jobs & Workflows. Strong Python and PySpark skills with ability to build scalable data pipelines and AI workflows in Databricks. Experience with LLMs (e.g., OpenAI, LLaMA, Mistral) and frameworks like LangChain or LlamaIndex. Working knowledge of vector databases (e.g., FAISS, Chroma) and prompt engineering for classification/retrieval. Exposure to MDM platforms (e.g., Stibo STEP) and familiarity with data harmonization challenges. Experience with explainability frameworks (e.g., SHAP, LIME) and AI audit tooling. Preferred Skills Knowledge of agentic AI architectures and multi-agent orchestration. Familiarity with Azure Data Hub and enterprise data ingestion frameworks. Understanding of data governance, lineage, and regulatory compliance in AI systems. Interview Process Step 1: Online Assessment Step 2: Technical Screenings 1: 1 Technical Screening with Technical Panel (45 mins) 1 Technical round with Senior Technical Panel (45 mins) Step 3: Technical Interviews 2 : 1 Technical rounds of Interview with Reporting Manager (45 mins) Agenda: To assess on technical parameters giving white board programming, problem solutioning and story telling 1 Technical rounds of Interview with Project Manager (45 mins) To assess on overall fitment Step 4: 1 Project Review (45 mins): 30 mins of presentation any chosen related topic with minimum 6 - 8 slides 10 - 15 mins Question and Answers by panels All interviewers will be part of the discussion. Step 5 : Client Interview (45 mins How to apply for this opportunity: Easy 3 Step Process: 1. Click On Apply and register or log in to our portal 2.Upload updated Resume & complete the Screening Form 3. Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience- 10-14 yrs Location- Hyderabad Shift Timings: 11AM to 8PM Hybrid- 2-3 days' work from office Role & responsibilities Qualifications Required: Education qualification: BE /B Tech ( IT/CS/Electronics) / MCA / MSc Computer science 10+ years of IT experience in application development, support, or maintenance activities 4+ years of team management experience(technically) Must have experience on at least 2 full life cycle of software development. Hands on experience on ASP.NET , C# , HTML , CSS , JavaScript , React / Angular, SQL server and Microsoft Azure Preferred: 2+ years of experiencing in Agile / scrum methodology. Client facing and exposure to onshore offshore delivery model. Experience in working in a global environment involving multiple development sites on various time zones.

Role & responsibilities Key Responsibilities: Define and design enterprise-level architecture using .NET technologies and Microsoft Azure services. Lead the design of microservices, APIs, and integration strategies. Collaborate with product owners, business analysts, and stakeholders to translate requirements into scalable technical solutions. Guide and mentor development teams across the software development lifecycle. Ensure performance, scalability, security, and compliance standards are met. Conduct code and design reviews to maintain code quality and architectural integrity. Stay updated with industry trends and Azure service advancements. Preferred candidate profile Required Skills & Qualifications: 10+ years of experience in software development with expertise in .NET / .NET Core Strong experience in designing and implementing applications on Microsoft Azure including services like Azure App Services, Azure Functions, Azure API Management, Azure Kubernetes Service (AKS), Azure Storage, Azure SQL, and Azure DevOps Hands-on experience in microservices architecture , RESTful APIs , and event-driven systems Excellent knowledge of design patterns , architecture principles , and UML modeling Experience with performance tuning, security best practices, and cost optimization on Azure Strong communication and leadership skills