1465 Generative Ai Jobs - Page 18

Job description: We are having a F2F weekend drive for the requirement of a Data Scientist + Gen AI at our LTIM Pune- Shivajinagar office. Date - 26th July 2025 Experience - 6+ Years Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS, AI/ML, NLP Location - LTIMindtree Pune- Shivajinagar Office. Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment. Generic JD- More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen.

Job Title: AI/ML Engineer – Contractual Role (5 Years Exp) Location: Bangalore Salary: Up to 25 LPA Duration: 1 years AI/ML Engineer with 5 years of experience for a contractual role based in Bangalore. Required Candidate profile Key Skills: Azure, GCP, Python, Generative AI, LLMs, RAG, Machine Learning, PyTorch/TensorFlow. Apply now to be part of a dynamic and innovative AI team.

Job Title : AI/ML Specialist Location : Bangalore Experience : 5+ years About the Role: We are seeking a skilled and passionate AI/ML Specialist with a strong background in end-to-end AI/ML solution development, deployment, and integration. This role requires hands-on expertise across machine learning frameworks, cloud-based AI services, and a keen sense of UI/UX design for AI-driven applications. Skillset & Technologies: AI/ML solution development and deployment UI/UX/Front-end development for AI/ML solutions AI/ML model development (NLP, Computer Vision, Generative AI) Code optimization, database design, reusable module creation Agile methodology, change management, and issue resolution Programming & Libraries Python TensorFlow, Keras, PyTorch, Scikit-learn, SpaCy, Transformers (Hugging Face), OpenCV Cloud & AI Services Azure Cognitive Services (Language, Vision, Speech) Azure Machine Learning Azure OpenAI models Microsoft Copilot services Other Technologies SQL & NoSQL databases SOAP/REST APIs Data pipelines, feature engineering, data transformation Soft Skills Agile mindset, team player Strong communication Ability to mentor and train others

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's or Master's 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.

We are looking for a GenAI/ML Engineer to design, develop, and deploy cutting-edge AI/ML models and Generative AI applications . This role involves working on large-scale enterprise use cases, implementing Large Language Models (LLMs) , building Agentic AI systems , and developing data ingestion pipelines . The ideal candidate should have hands-on experience with AI/ML development , Generative AI applications , and a strong foundation in deep learning , NLP , and MLOps practices. Key Responsibilities Design, develop , and deploy AI/ML models and Generative AI applications for various enterprise use cases. Implement and integrate Large Language Models (LLMs) using frameworks such as LangChain , LlamaIndex , and RAG pipelines . Develop Agentic AI systems capable of multi-step reasoning and autonomous decision-making . Create secure and scalable data ingestion pipelines for structured and unstructured data, enabling indexing, vector search, and advanced retrieval techniques. Collaborate with cross-functional teams (Data Engineers, Product Managers, Architects) to deploy AI solutions and enhance the AI stack. Build CI/CD pipelines for ML/GenAI workflows and support end-to-end MLOps practices. Leverage Azure and Databricks for training , serving , and monitoring AI models at scale. Required Qualifications & Skills (Mandatory) 4+ years of hands-on experience in AI/ML development , including Generative AI applications . Expertise in RAG , LLMs , and Agentic AI implementations. Strong experience with LangChain , LlamaIndex , or similar LLM orchestration frameworks. Proficiency in Python and key ML/DL libraries : TensorFlow , PyTorch , Scikit-learn . Solid foundation in Deep Learning , Natural Language Processing (NLP) , and Transformer-based architectures . Experience in building data ingestion , indexing , and retrieval pipelines for real-world enterprise use cases. Hands-on experience with Azure cloud services and Databricks . Proven track record in designing CI/CD pipelines and using MLOps tools like MLflow , DVC , or Kubeflow . Soft Skills Strong problem-solving and critical thinking ability. Excellent communication skills , with the ability to explain complex AI concepts to non-technical stakeholders. Ability to collaborate effectively in agile , cross-functional teams . A growth mindset , eager to explore and learn emerging technologies. Preferred Qualifications Familiarity with vector databases such as FAISS , Pinecone , or Weaviate . Experience with AutoGPT , CrewAI , or similar agent frameworks . Exposure to Azure OpenAI , Cognitive Search , or Databricks ML tools . Understanding of AI security , responsible AI , and model governance . Role Dimensions Design and implement innovative GenAI applications to address complex business problems. Work on large-scale, complex AI solutions in collaboration with cross-functional teams. Take ownership of the end-to-end AI pipeline , from model development to deployment and monitoring. Success Measures (KPIs) Successful deployment of AI and Generative AI applications . Optimization of data pipelines and model performance at scale. Contribution to the successful adoption of AI-driven solutions within enterprise use cases. Effective collaboration with cross-functional teams, ensuring smooth deployment of AI workflows. Competency Alignment AI/ML Development : Expertise in building and deploying scalable and efficient AI models. Generative AI : Strong hands-on experience in Generative AI , LLMs , and RAG frameworks. MLOps : Proficiency in designing and maintaining CI/CD pipelines and implementing MLOps practices . Cloud Platforms : Experience with Azure and Databricks for AI model training and serving.

Key Responsibilities: AI Solution Development: Assist in the design and development of generative AI models and solutions for clients across various industries. Work with senior engineers to implement AI models into business processes, ensuring the solutions align with client needs and objectives. Participate in the creation of Proof of Concepts (PoCs) and Minimal Viable Products (MVPs) to demonstrate AI capabilities. Client Project Delivery: Support the delivery of AI solutions for client projects, ensuring timely execution and high-quality outcomes. Collaborate with cross-functional teams to understand client requirements, translate them into technical specifications, and help drive the successful implementation of AI models. Contribute to client presentations and demos, showcasing AI capabilities and how they address specific business challenges. Coding & Implementation: Write, optimize, and implement AI code for model development, integrating generative AI models into scalable production environments. Use tools such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake to build and deploy AI solutions. Collaborate with other engineers on coding best practices, version control, and continuous integration/continuous delivery (CI/CD) processes. Data Management & Integration: Work with data engineering teams to ensure smooth data collection, management, and integration for AI model development. Help integrate AI models with existing data pipelines and systems, ensuring data is processed and utilized effectively for AI model training and deployment. Ensure data quality and adhere to best practices for data governance and privacy when handling sensitive information. Business Development & Practise Building Work closely with business teams and clients to demonstrate the potential of AI and assess its feasibility for solving business challenges. Lead feasibility studies, develop data strategies, support RFP responses, and demo to prospective clients. Data Governance & Security Ensure compliance with data governance policies and industry regulations regarding AI models and data processing. Implement best practices in data privacy, security, and ethical AI, particularly when handling sensitive data. Qualifications & Experience: Educational Background: BSc in Computer Science, Engineering, Statistics, or a related field. Certifications or coursework in AI/ML or data engineering are a plus. (Additionally, if you feel you are the right fit for the listed skills and can demonstrate why you would be a good fit for the role, we are open to all backgrounds that have demonstrated commitment and progression of your skillset through personal and professional engagements. We want to continue to build out our team with the best and brightest minds in the industry, and if you feel you can contribute to our strategic goals and our clients, we would love to hear from you) Work Experience: 3+ years of experience in AI/ML, specifically in the development and deployment of generative AI models. Hands-on experience working with Large Language Models (LLMs) like GPT, BERT, or similar technologies. Familiarity with AI frameworks such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake. Skills: Proficient in coding and optimizing generative AI models, particularly in the areas of prompt engineering and LLMs. Familiarity with AI/ML algorithms and model deployment in cloud environments.

Experience: 3+ years Location - Bengaluru Mode of work - Work from office Mode of interview - Face to Face Notice Period : Immediate joiners We are looking for a highly motivated and passionate AI/ML Engineer with a strong foundation in machine learning and hands-on project experience in Generative AI. will work on cutting-edge technologies involving Large Language Models (LLMs), Agentic AI, and toolkits like Lang Chain, Lang Graph, and Phi Data. Key Responsibilities Build, experiment with, and fine-tune Generative AI models using popular LLMs (e.g., OpenAI, LLaMA, Mistral, etc.). Develop agent-based workflows using tools such as LangChain, LangGraph, and PhiData. Create interactive and dynamic AI pipelines for tasks like summarization, Q&A, sentiment analysis, and more. Collaborate with the AI/ML team to design and deploy prototypes and PoCs. Write clean, modular Python code and maintain version control via Git/GitHub. Document projects clearly and effectively for internal and external stakeholders. Required Skills Solid understanding of Machine Learning, Deep Learning fundamentals, and model evaluation. Experience with Generative AI projects (transformers, text generation, prompt engineering, etc.). Familiarity with frameworks like LangChain, LangGraph, PhiData. Proficient in Python, along with common ML libraries (e.g., PyTorch, Hugging Face Transformers, scikit-learn). Good understanding of LLM APIs (OpenAI, Anthropic, Cohere, etc.). Strong problem-solving ability and communication skills. Active GitHub profile showcasing relevant projects is mandatory Good to Have Knowledge of REST APIs, basic backend frameworks like Flask or FastAPI. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate). Basic understanding of RAG (Retrieval-Augmented Generation) pipelines. Knowledge of prompt chaining and tool-calling via LLM agents. Knowledge on web application development

Hiring for a Data Science Trainer! Experience : 2yr+ Salary: As per company norms Location : Chinchwad and Shivajinagar, Pune - Maharashtra Joining: Immediate/15 days Industry Type: Education / Training Department: Trainer/ Teaching Faculty Work Mode: Work From Office (Full time Job) Skills : Python, Machine Learning, AI, NLP, Deep Learning, Power BI, SQL, Tableau, pytorch, data engineering, data science, data analytics etc Job Description:- Candidates must have the ability to take both theory and practical sessions. Should have excellent knowledge on Python Data Science technologies. Should be able to teach Machine learning, deep learning, artificial Intelligence, SQL, Django Able to resolve students' queries,dynamic personality. We expect good communication and presentation skills. Able to explain complex subjects in a clear and interesting way. Should be flexible to conduct Weekend Batches as well as Weekday Batches. Responsibilities and Duties:- Devise technical training programs according to organizational requirements. Produce training schedules and classroom agenda & execute training sessions Determine course content according to objectives. Prepare training material (presentations, worksheets etc.) Keep and report data on completed courses, absences, issues etc. Observe and evaluate results of training programs. Determine overall effectiveness of programs and make improvements. This is an exciting opportunity for a results-driven professional. If you have a passion, we encourage you to apply. Apply Now: Drop your resume on 7360000325 or rkamthe@sevenmentor.com.

You will be involved in the delivery of robust, scalable ML solutions by contributing to the development of detailed problem statements outlining hypotheses and effects on target clients, analysis and summarization of datasets, data selection and transformation, ML model training, and examination of model performance. You will mentor and allocate responsibilities to junior staff data scientists, pursue effective relationships by sharing resources, information, and knowledge, receiving and learn from feedback, and assess and respond to the needs of others to support a business outcome. You will plan and schedule your work to ensure the completion of several interrelated tasks with minimal direction, and exercise judgment and discretion in resolving and developing solutions for moderately complex problems

Salary: 20 to 30 LPA Exp: 5 to 10 years Location: Bangalore Notice- Immediate to 15 days Role & Responsibilities: Must Have: React and Gen Ai 3+ years of relevant experience in software development. Excellent designing and programming skills. Knowledge of front-end technologies such as HTML5, CSS3, and JavaScript Expert in AngularJS Knowledge of Spring frameworks like Spring MVC or Spring Boot is a huge plus. Experience in banking domain. Basic understanding of Python is a plus. Good command over SQL query. Understanding of different databases such as MySQL, MongoDB, Oracle and/or SQL Server Exposure to source code management such as Git, GITHub, GITlab and/or BitBucket Exposure to Jenkins, Gradle, Maven Excellent verbal and written communication skills. Good time management and organizational skills. The ability to keep current with the constantly changing technology industry. A passion for design, development, and testing. Knowledge of containerization and/or cloud platform such as AWS, Azure and/or GCP is a huge plus.

Responsibilities Assist customers as they adopt generative AI and new AI-powered experiences across the GCP portfolio, and ensure they have a smooth experience using the platform, tools, and solutions. Develop an understanding of Google Cloud's product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and diagnosis. Work with key customers on their production deployments to resolve issues and achieve product readiness availability and scale using GCP Generative AI and AI/ML products making an impact on the customers business. Act as consultant and SME for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud. Work as part of team of engineers/consultants that globally ensure customer support, including working non-standard work hour/shift and may include weekend work. Minimum qualifications: Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 4 years of experience reading/debugging code in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) or in system design and in virtualization and orchestration frameworks. Experience with Linux/Unix or similar systems, from the kernel to the shell, file systems, and client-server protocols. Experience troubleshooting and resolving technical issues in an application tech stack including AI/ML. Ability to communicate fluently in English to communicate with different customers and stakeholders. Preferred qualifications: Experience debugging workload issues across multi-node environments. Experience with exploratory kernel debugging and performance analysis of containerized systems. Experience working with public cloud services and infrastructure. Experience in Computer Networking (e.g., TCP/IP, Routing, Load balancing, etc.), with knowledge of basic web technologies (e.g., HTTP, HTML, DNS, TCP, etc.

Neuroniks is a tech company that specializes in digital transformation, software development, data engineering, ML/AI, and cloud solutions. With a focus on building tomorrow's solutions with today's visionary expertise, Neuroniks delivers exceptional products that require minimal maintenance. The company offers advanced software development, IT consulting, data analytics, machine learning solutions, NLP, generative AI implementation, and more. This is a contract, on-site Solution Architect role located in Chandigarh, India at Neuroniks. As a Solution Architect, you will be responsible for designing, implementing, and overseeing software solutions. You will collaborate with developers and stakeholders to ensure alignment with business goals and requirements. To qualify for this role, you should have a solid understanding of software development, data engineering, and cloud solutions. Experience in IT consulting and solution architecture is required. Knowledge of machine learning, NLP, and generative AI is essential. You should be able to collaborate effectively with cross-functional teams and possess excellent communication and presentation skills. Experience with mobile app and web development is a plus. A Bachelor's degree in Computer Science, Engineering, or a related field is required. Relevant certifications such as AWS Certified Solutions Architect would be beneficial.,

We are seeking a hands-on, highly experienced AI engineer ?with deep expertise in LLMs, Retrieval-Augmented Generation (RAG), fine-tuning, and applied machine learning . You will help build next-generation investor relations and public relations tools powered by AI, including intelligent assistants, content generation, semantic search, and predictive analytics. Machine Learning + Deep Learning + Generative AI Key Responsibilities Design and implement RAG pipelines that combine proprietary data (e.g., press releases, earnings transcripts) with LLMs to generate accurate, secure outputs. Fine-tune open-source LLMs (e.g., LLaMA 2/3, Mistral, Mixtral) using instruction or LoRA-based methods for specific use cases such as branded content generation or question-answering. Build and optimize embeddings, Vector search algorithms proficenecy e.g. HNSW, FAISS, IVFFlat and Microsoft -> Semantic Kernel and semantic retrieval systems using tools like sentence-transformers, FAISS, Weaviate, or Pinecone. Collaborate with product and content teams to implement intelligent Q&A, press release graders, interview prep tools, and performance analysis assistants. Develop traditional ML models for anomaly detection, time-series forecasting, and engagement optimization (Prophet, XGBoost, scikit-learn, Chronos, ARIMA, Microsoft -> Semantic Kernel etc.). Integrate multimodal components such as TTS (e.g., ElevenLabs), image recommendation, and social publishing automation. Deep Learning in Neural Networks. Hands on experience in Tensorflow, Pytorch. Ensure secure and scalable deployment of AI systems (on cloud AWS, AWS Bedrock, AWS SegemakerAzure OpenAI, or in-house GPU infrastructure). Qualifications 14+ years of hands-on experience in ML/AI engineering or applied data science Proven experience with LLMs (GPT-4, Claude, LLaMA, Mistral, etc.) ?and RAG architectures Strong coding skills in Python ?and experience with LangChain, Hugging Face Transformers, OpenAI API, PEFT/LoRA. Experience fine-tuning LLMs using open-source frameworks and adapting models with domain-specific data Deep understanding of NLP, search , and vector-based retrieval systems Experience with time-series modeling, anomaly detection , or ML classification tasks Familiarity with DevOps or MLOps tooling for deploying and monitoring LLM-powered applications Excellent communication skills and ability to work cross-functionally with product, content, and engineering teams Preferred Experience in financial, PR, or media ?domains Familiarity with embedding alignment, model evaluation, and prompt engineering Comfortable working with both cloud APIs (e.g., OpenAI, Azure, Anthropic) ?and open-source LLMs Good to have: Postgressql vector db for embeddings, azure open ai services and c# .net 9 framework for building all business logic and services for our enterprise applications.?

Job Description Job Title: Data Science & AIML, GenAI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to Langchain.

As a Data Science Trainer, your primary responsibility will be to deliver advanced training sessions in various topics related to data science. You will cover a wide range of subjects including Python Programming for Data Science, Mathematics & Statistics for AI, AI Ethics, Data Access, Handling and Visualization, Analyzing Data with Python, Visualizing Data with Python, Tableau, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision (CV), Full Stack Development, Generative AI, R Programming, Scala, and Spark. This is a full-time position that requires you to conduct training sessions in person. You will be expected to start on the 23rd of July, 2025.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. The assignments cover a wide range of countries and industry sectors. We are looking for an Associate Manager - AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning and LLM models for Generative AI, text analytics, and Python Programming. You will be responsible for developing and delivering industry sectors specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. **Your key responsibilities:** - Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. - Lead the development and implementation of Generative AI applications using open source and closed source Large Language Models (LLMs). - Work with advanced models for natural language processing and creative content generation using contextual information. - Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. - Understand Business and Sectors, identify whitespaces and opportunities for analytics application. - Work on large to mid-size projects, ensure smooth service delivery, and provide expert reviews. - Communicate with cross-functional teams and manage stakeholder relationships. **Skills and attributes for success:** - Able to work creatively and systematically in a time-limited, problem-solving environment. - Loyal, reliable, with high ethical standards. - Flexible, curious, creative, and able to propose innovative ideas. - Good interpersonal skills, team player, and positive in a group dynamic. - Intercultural intelligence, experience of working in multi-cultural teams. - Ability to manage multiple priorities simultaneously and drive projects to completion with minimal supervision. **To qualify for the role, you must have:** - Experience in guiding teams on AI/Data Science projects and communicating results to clients. - Familiarity with implementing solutions in Azure Cloud Framework. - Excellent Presentation Skills. - 8-10 years of relevant work experience in developing and implementing AI, Machine Learning Models. - Experience in statistical techniques, deep learning, machine learning algorithms. - Proficient in Python programming and SDLC principles. - Willingness to mentor team members and travel extensively. - Excellent written and verbal communication skills. **Ideally, you'll also have:** - Ability to think strategically and build rapport within the firm and with clients. If you are a team player with commercial acumen, technical experience, and enthusiasm to learn new things in a fast-moving environment, and interested in being part of a market-prominent, multi-disciplinary team, this opportunity at EY could be the next step in your career growth.,

The Senior AI Consultant role at G+D involves enabling RAG-based use cases through fine-tuning and prompt engineering expertise. You will be responsible for translating business requirements into actionable RAG solutions, designing tailored workflows, and driving user training to ensure optimal performance and scalability of AI applications. Your key responsibilities will include interpreting business needs for structured RAG use cases, advising on RAG workflows, configuring the SaaS platform, optimizing LLMs for chatbots and text analytics, and leading user training sessions for continuous improvement. Required skills for this role include a strong background in AI/ML with hands-on experience in generative AI and RAG methodologies, working knowledge of Agentic AI & MCP concepts, proficiency in Python and familiarity with frameworks like TensorFlow and PyTorch, experience with cloud platforms (preferably Azure) and MLOps tools such as Docker, Kubernetes, and CI/CD, as well as excellent communication and consultative skills to bridge tech and business needs. Preferred qualifications for the Senior AI Consultant position include proven production-grade deployment of RAG solutions, experience with large-scale datasets and vector databases like FAISS and Milvus, and a solid understanding of AI ethics and responsible AI practices. Join us at G+D, a global technology group with over 14,000 employees in 40 countries, where creating confidence is our path to success and trust is the foundation of our cooperation. Let's work together to make the lives of billions of people around the world more secure through innovative solutions in Digital Security, Financial Platforms, and Currency Technology.,

About Us Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization. Start your #CognitiveProcurement journey with us, as you are #MeantforMore. We Are An Equal Opportunity Employer. Job Description Role & Responsibilities: Strategic Advisory & Transformation Leadership: Provide expert consulting on global S2P suite implementations, offering tailored best practices and roadmap strategies to maximize value realization and adoption. Consulting Excellence: Define and present compelling value propositions and ROI metrics of Zycus S2P suite, benchmarking against other leading procurement platforms in the market. Customer-Centric Solutions: Understand unique customer procurement landscapes and pain points to propose scalable, future-ready, and business-aligned implementation solutions. Global Program Execution: Lead and support consulting engagements across multiple geographies, ensuring consistent global rollout strategies while adapting to regional compliance and business nuances. Thought Leadership & Domain Expertise: Executive Communication & Influence: Demonstrate exceptional written and verbal communication skills to influence senior leadership, drive boardroom discussions, and deliver high-impact presentations. Collaboration & Enablement: Work closely with internal stakeholders including Product, Pre-sales, Customer Success, and Delivery teams to ensure seamless end-to-end customer transformation. AI-Driven Consulting Acumen: Leverage Generative AI and advanced analytics to deliver smarter procurement insights, predictive recommendations, and strategic automation opportunities. Job Requirement: Domain expertise in leading procurement platforms such as SAP Ariba, Coupa, Ivalua, GEP SMART, SAP HANA, or similar cloud-based suites. Strong consulting and advisory skills, with the ability to engage and influence C-level stakeholders on procurement transformation strategies. Ability to define and articulate value realization frameworks, ROI metrics, and compare Zycus" suite with other market offerings. Hands-on expertise in solution design, configuration, and UAT management. Excellent verbal and written communication skills with the ability to deliver impactful executive-level presentations and documentation. Global exposure working with clients across geographies and industries. Strategic mindset with a passion for process optimization, change management, and procurement innovation. Familiarity or working knowledge of Generative AI and its use cases in consulting or digital procurement transformation is a strong plus. Five Reasons Why You Should Join Zycus: Pioneer in Cognitive Procurement: Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises. Fast Growing: Growing Region at the rate of 30% Y-o-Y. Global Enterprise Customers: Work with Large Enterprise Customers globally to drive Complex Global Implementation on the value framework of Zycus. AI Product Suite: Steer next-gen cognitive product suite offering.,

As a Senior ML Scientist in the Advertising Optimization & Automation Science team at Wayfair, you will play a crucial role in leveraging machine learning and generative AI to streamline campaign workflows. Based in Bangalore, India, you will contribute to building intelligent systems that drive personalized recommendations and campaign automation within Wayfair's advertising platform. Your responsibilities will include designing and implementing intelligent budget, tROAS, and SKU recommendations, as well as simulation-driven decisioning to enhance advertiser outcomes and unlock substantial commercial value. In collaboration with cross-functional teams, you will lead the development of GenAI-powered creative optimization and automation to drive incremental ad revenue and improve supplier outcomes. Additionally, you will elevate technical standards by promoting best practices in ML system design and development across the team. The ideal candidate for this role possesses a Bachelor's or Masters degree in Computer Science, Mathematics, Statistics, or a related field, along with 9+ years of experience in building large-scale machine learning algorithms. You should have a strong theoretical understanding of statistical models and ML algorithms, proficiency in programming languages such as Python, and experience with relevant ML libraries like TensorFlow and PyTorch. Strategic thinking, customer-centric mindset, and a desire for creative problem-solving are essential qualities for success in this position. Additionally, you should be adept at influencing senior-level stakeholders, possess excellent communication skills, and demonstrate the ability to shape technical roadmaps through cross-functional partnerships. Nice-to-have qualifications include experience with GCP, Airflow, and containerization, as well as familiarity with Generative AI and agentic workflows. Knowledge of Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning is also advantageous. By joining Wayfair, you will be part of a dynamic and innovative team that is dedicated to reinventing the way people shop for their homes. If you are looking for a fast-paced environment that offers continuous learning and growth opportunities, Wayfair may be the perfect place for you to advance your career.,

You should have 6-10+ years of experience in AI/ML development, including at least 3 years of hands-on experience in Generative AI, RAG frameworks, and Agentic AI systems. As a Generative AI Engineer, you will be responsible for designing, developing, and optimizing RAG pipelines using frameworks such as LangChain, LlamaIndex, or custom-built stacks. You will also implement Agentic AI architectures involving task-based agents, stateful memory, planning-execution workflows, and tool augmentation. Additionally, you will perform model fine-tuning, embedding generation, and evaluation of LLM outputs while incorporating human and automated feedback loops. Building and enforcing guardrails to ensure safe, compliant, and robust model behavior will be a crucial part of your role, including prompt validation, output moderation, and access controls. Collaboration with cross-functional teams to deploy solutions in cloud-native environments such as Azure OpenAI, AWS Bedrock, or Google Vertex AI will also be expected. Furthermore, you will contribute to system observability via dashboards and logging, as well as support post-deployment model monitoring and optimization. To excel in this role, you must have proven production experience with RAG frameworks like LangChain, LlamaIndex, or custom-built solutions. A solid understanding of Agentic AI design patterns, strong expertise in LLM fine-tuning, vector embeddings, evaluation strategies, and feedback integration are essential. Experience with implementing AI guardrails, proficiency in Python, LLM APIs (OpenAI, Anthropic, Cohere, etc.), and vector database integration are also required. Familiarity with CI/CD pipelines, API integrations, and cloud-native deployment patterns is a plus. Preferred qualifications include experience working on AI projects in regulated environments (Banking domain), hands-on experience with cloud AI platforms like Azure OpenAI, AWS Bedrock, or Google Vertex AI, knowledge of prompt engineering, RLHF, and LLM observability frameworks, as well as experience building or leveraging internal LLM evaluation harnesses, agent orchestration layers, or compliance dashboards.,

As a Backend Developer at Maitri AI, you will be responsible for developing, optimizing, and maintaining backend services using FastAPI. Your role will involve implementing API authentication, authorization, and security best practices while working with SQLAlchemy for ORM-based database management. You will design, query, and optimize databases using MySQL, utilizing NumPy and Pandas for data processing and transformation. Collaboration with frontend developers to seamlessly integrate APIs and maintaining CI/CD workflows with GitHub will be crucial aspects of your responsibilities. Additionally, you will be expected to research and integrate Machine Learning and Generative AI solutions such as Gemini AI and OpenAI. Troubleshooting and resolving backend-related issues, staying updated with the latest advancements in backend technologies and AI, are also key parts of your role. To qualify for this position, you should have at least 2 years of experience in backend development, a Bachelor's degree in Computer Science, Information Technology, or a relevant field, proficiency in Python and experience with FastAPI. Hands-on experience with SQLAlchemy and MySQL databases, a strong understanding of API authentication and security principles, and experience working with GitHub for version control and collaboration are essential. Preferred skills include experience with Machine Learning and Generative AI models, knowledge of containerization technologies like Docker, and exposure to cloud services such as AWS, GCP, or Azure. This role offers the opportunity to work on cutting-edge AI and backend projects, competitive salary and benefits, and a collaborative work environment that encourages learning and growth. Join us at Maitri AI and be a part of an innovative team at the forefront of AI and technology. This is a full-time position with a day shift schedule, requiring in-person work at our Borivali West, Mumbai location.,

As a Specialist in the S&C GN AI - Insurance AI Consulting team at Accenture, you will play a crucial role in driving strategic initiatives, managing business transformations, and leveraging industry expertise to deliver value-driven solutions. Your responsibilities will include providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. In this role, you will work with the team to architect, design, build, deploy, deliver, and monitor advanced analytics models, including Generative AI, for various client problems. You will also be responsible for developing functional aspects of Generative AI pipelines and interfacing with clients to understand engineering and business problems, translating them into analytics problems that deliver actionable insights and operational improvements. To excel in this position, you are required to have a minimum of 2-4 years of experience in data-driven techniques, including exploratory data analysis and data pre-processing, as well as a Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, or a related field. An MBA degree is mandatory, along with a solid foundation in Statistical Modeling, Machine Learning algorithms, and GenAI. Proficiency in programming languages such as Python, PySpark, SQL, or Scala is essential, as well as strong communication and presentation skills. Accenture Global Network offers a dynamic and collaborative environment where you will have the opportunity to work on innovative projects, grow your career, and gain leadership exposure. Join us in pushing the boundaries of business capabilities and delivering impactful solutions to clients. If you are passionate about leveraging Generative AI, design thinking, business process optimization, and stakeholder management skills to drive business success, we invite you to explore this exciting opportunity with Accenture.,

As an ABAP or C++ Developer specializing in Generative AI at SAP, you will play a key role in innovatively applying AI solutions to ABAP's language and programming models. Your responsibilities will include training and fine-tuning large language models to cater to the specific requirements of ABAP, collaborating with data scientists to integrate AI solutions into existing systems, analyzing and preprocessing large datasets for modeling, conducting experiments and performance evaluations of AI models, documenting development processes, and staying updated with the latest advancements in AI and machine learning. You will also provide support and troubleshooting for deployed AI systems. Applicants for this position should hold a Bachelors or advanced degree in Computer Science, Software Engineering, or a related field, or possess relevant coursework and certifications. Hands-on experience in natural language processing (NLP) and machine learning frameworks is required, along with proficiency in programming languages like ABAP, Java, or Python. Understanding of ABAP development principles, SAP systems, and programming models is essential. Additionally, experience or knowledge of the full software development life cycle and agile processes is expected. Strong problem-solving skills, attention to detail, communication abilities, and teamwork are crucial for success in this role. Join a vibrant team at SAP's BTP ABAP unit, where you will have the opportunity to shape the future of enterprise solutions. With a focus on collaboration, learning, and development, SAP offers a supportive environment where your contributions are recognized and rewarded. If you are passionate about development, AI technology, and simplifying developers" lives, seize this opportunity to make a meaningful impact and advance your career in a purpose-driven organization. At SAP, we value inclusion, health, well-being, and flexible working models to ensure that every individual, regardless of background, can thrive. We believe in unleashing the potential of all talents to create a better and more equitable world. As an equal opportunity workplace and affirmative action employer, SAP is committed to providing accessibility accommodations and support to applicants with disabilities. Join SAP in driving innovation, fostering diversity, and empowering individuals to reach their full potential. Your journey to shaping the future of ABAP Platform starts here with BTP ABAP at SAP. Join us in our mission to help the world run better through cutting-edge technologies and collaborative teamwork. Discover a rewarding career at SAP, where you can bring out your best and contribute to impactful solutions that address global challenges.,

As a Digital Product Engineering company, Nagarro is currently seeking a professional with over 5 years of experience in the field to join our team. The ideal candidate should possess a deep understanding of Generative AI fundamentals and transformer-based architectures along with a strong experience in Cloud Architecture for deploying scalable AI systems using platforms such as AWS, Azure, or GCP. The successful candidate will have hands-on experience working with Generative AI models, particularly in Azure AI, and should be familiar with BERT, GPT, LLaMA, and similar LLMs. Proficiency in prompt engineering, RAG techniques, and fine-tuning and deploying models using frameworks like Hugging Face Transformers or LangChain is also required. Additionally, experience with multi-agent AI systems, collaborative model workflows, Python, machine learning libraries (e.g., PyTorch, TensorFlow), and integrating models into enterprise platforms and APIs is essential. Responsibilities for this role include understanding clients" business use cases and technical requirements, translating them into technical designs, mapping decisions with requirements, identifying and narrowing down solutions that best meet client requirements, defining guidelines and benchmarks for NFR considerations, writing and reviewing design documents, reviewing architecture and design for various aspects, developing and designing solutions for defined requirements, and resolving issues raised during code reviews through systematic analysis. Qualifications for this position include a Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. If you are passionate about AI, NLP, and Knowledge Engineering and possess the required skills and experience, we invite you to join our dynamic and non-hierarchical work culture at Nagarro.,

As the Senior Director, Artificial Intelligence (AI) at Quorum Software, you will play a crucial role in establishing and leading the AI Innovation Center. Your primary focus will be on designing, developing, and deploying cutting-edge AI solutions across our software portfolio, with a vision to accelerate our AI strategy by utilizing technologies such as machine learning, generative AI, agentic AI, and advanced analytics to create transformative products and capabilities for the energy sector. Your responsibilities will include leading the AI Innovation Center to drive research and development in AI and ML technologies specific to energy-related software use cases. You will define and execute the company's AI strategy, including identifying suitable platforms, tools, and applied AI models. Collaborating with cross-functional teams, you will develop AI-driven product features, services, and decision-support tools across our software ecosystem. Your role will also involve overseeing the development and deployment of ML models, agentic systems, and generative AI applications to enhance customer experience and drive positive business outcomes. Furthermore, you will be instrumental in building and leading a high-performing AI & Data Science team, fostering a culture of innovation, experimentation, and impact. It will be your responsibility to ensure the responsible and ethical use of AI, complying with industry standards and regulatory requirements, especially those relevant to the energy industry. Staying abreast of the latest advancements in the field, you will evaluate and select AI/ML tools, frameworks, and platforms. Additionally, you will represent the company in industry forums, conferences, and AI research communities to promote innovation and thought leadership. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related technical field, with a preference for a Master's degree. With over 10 years of experience in AI/ML, including at least 5 years in a leadership capacity, you should have a proven track record of successfully applying AI, machine learning, and generative/agentic AI in commercial software products. Strong communication skills, stakeholder management abilities, and experience presenting to executive leadership are essential for this position. Moreover, familiarity with energy industry data types, standards, and use cases, as well as knowledge of MLOps, data governance, and responsible AI practices, would be advantageous. While visa sponsorship is not provided for this position, applicants requiring reasonable accommodations during the application or interview process should contact the Human Resources Department.,