1443 Generative Ai Jobs - Page 16

As a Senior AI Engineer (Tech Lead) at EY, you will have the opportunity to leverage your technical expertise to develop and implement cutting-edge AI solutions. With a minimum of 4 years of experience in Data Science and Machine Learning, including NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture, you will play a crucial role in driving innovation and creating impactful solutions for enterprise industry use cases. Your responsibilities will include contributing to the design and implementation of state-of-the-art AI solutions, leading a team of 4-6 developers, and collaborating with stakeholders to identify business opportunities and define AI project goals. You will stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. By utilizing generative AI techniques, such as LLMs and Agentic Framework, you will develop innovative solutions tailored to specific business requirements. Your role will also involve integrating with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to enhance generative AI capabilities. Additionally, you will be responsible for implementing and optimizing end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Your expertise in data engineering, DevOps, and MLOps practices will be valuable in curating, cleaning, and preprocessing large-scale datasets for generative AI applications. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, and demonstrate proficiency in Python, Data Science, Machine Learning, OCR, and document intelligence. Strong collaboration with software engineering and operations teams, along with excellent problem-solving and analytical skills, will be essential in translating business requirements into technical solutions. Moreover, your familiarity with trusted AI practices, data privacy, security, and ethical considerations will ensure the fairness, transparency, and accountability of AI models and systems. Additionally, having a solid understanding of NLP techniques, frameworks like TensorFlow or PyTorch, and cloud platforms such as Azure, AWS, or GCP will be beneficial in deploying AI solutions in a cloud environment. Proficiency in designing or interacting with agent-based AI architectures, implementing optimization tools and techniques, and driving DevOps and MLOps practices will also be advantageous in enhancing the performance and efficiency of AI models. Join EY to build an exceptional experience for yourself and contribute to creating a better working world for all through the power of AI and technology.,

As a Senior Data Scientist at CIS, you will be a valuable member of our Artificial Intelligence team, specializing in AI, ML, NLP, LLM, Opencv, Deep learning, Generative AI, and Computer Vision. With 2.6 to 6 years of experience, you will hold a Bachelor's degree or Master's in computer science, mathematics, or a related field. Your primary responsibilities will include designing, developing, and optimizing machine learning algorithms and deep learning applications. You will work closely with cross-functional teams, including data scientists, administrators, and data engineers, to enhance production systems and applications. It will be crucial to identify data distribution differences that may impact model performance and ensure accurate user recommendations. Key duties will involve transforming data science prototypes, running machine learning tests, monitoring systems, and constructing data pipelines. Your role will also require collaborating with managers to refine machine learning objectives and extending existing libraries and frameworks. To excel in this position, you must possess impeccable analytical and problem-solving skills, along with a solid foundation in math, probability, and algorithms. Proficiency in machine learning frameworks such as Keras or PyTorch, data modeling, and software architecture is essential. Strong time management, communication, and collaboration skills are also key attributes, along with a continuous learning mindset and a passion for innovation. This position is based in Indore, MP, with a work-from-office model. You should be open to on-site work at various locations in India and globally, including the USA, UK, Australia, and the Middle East, with associated benefits. If you are looking to join a dynamic team and contribute to cutting-edge machine learning projects, apply now from multiple locations listed in the job posting.,

About Oracle and OHAI Join Oracle, a leader in cloud solutions, as part of the Oracle Health & AI organization. This team is dedicated to developing product strategies for Oracle Health and creating a platform for automated healthcare solutions. We are a dynamic and entrepreneurial group seeking individuals who can contribute to establishing a world-class engineering center focused on excellence. About ODA Oracle Digital Assistant (ODA) is a platform within Oracle Health & AI that empowers developers to build skills and digital assistants using Conversational AI and Generative AI capabilities. The ODA team has been at the forefront of delivering conversational AI experiences for internal and external customers for the past 7 years. We are rapidly evolving to provide Generative AI solutions for healthcare and enterprise domains in an agile environment with strong support from senior leadership. About The Team We are seeking talented individuals, including ML scientists, Data Engineers, Software Development Engineers, Product/Program Managers, and ML engineers with expertise in machine learning. Join us in leveraging large volumes of data to address real-world challenges in the Healthcare domain and develop cutting-edge solutions for our Health AI products. Your role will involve collaborating on new feature development, software development, ML engineering, MLOps, and more, with a particular emphasis on Generative AI capabilities like Large Language Models (LLMs). Your contributions will be instrumental in delivering innovative AI-powered solutions for healthcare and enterprise customers. Qualifications - Masters degree in Computer Science, Mathematics, Physics, or related field - Experience in managing teams of ML scientists and engineers - Proven track record of leading AI projects from concept to delivery - Familiarity with Cloud and distributed systems is a plus - Interest in driving innovation in the Healthcare domain Career Level - M3 Responsibilities - Lead a team of Applied ML Scientists and Engineers to develop scalable solutions - Manage projects effectively, communicate with stakeholders, and drive business outcomes - Provide tactical direction to staff, negotiate resources, and set schedules - Expertise in LLM Systems, LLMOps, Prompt Engineering, and RAG systems About Us Oracle is a global leader in cloud solutions, leveraging cutting-edge technology to address current challenges. We are committed to fostering an inclusive workforce that empowers all individuals to contribute to innovation. Oracle offers competitive benefits, flexible medical, life insurance, and retirement options, and supports community involvement through volunteer programs. For accessibility assistance or accommodation, please contact us at accommodation-request_mb@oracle.com or +1 888 404 2494. Oracle welcomes individuals with disabilities and strives to ensure accessibility throughout the employment process.,

As a skilled professional in the field of AI, you will be responsible for developing and deploying advanced AI solutions utilizing the latest Generative AI techniques. This includes working on Retrieval-Augmented Generation (RAG) pipelines, designing and constructing Agentic AI systems to automate intricate decision-making workflows, and fine-tuning Foundation and Small Language Models (SLMs) that are customized for domain-specific content. Your expertise in AI will be crucial in creating innovative solutions that push the boundaries of technology and drive impactful change in the industry.,

Role: Senior Software Engineer Years of Experience: 7+ Years Work location: Marathalli, Bangalore Work Mode : Hybrid (2 days in office) Notice Period: Immediate joiners only Employment type: Full Time Look for people only from Bangalore, No Relocations Look for candidates from the Product development background Responsibilities Understand GenAI at a sufficient level of curiosity and usage (beyond simple applications such as using ChatGPT - such as understanding and usage of LangChain, LangGraph, CrewAI, OpenAI APIs etc. Have 5+ years of experience working on Product Engineering teams building service oriented or general micro services-based applications using Python Can work in a fast-paced environment and can get ideas quickly off the ground with minimal support (ideally has experience working in a mix of large enterprises and startup experience) Skill Requirements Programming languages: Python and Typescript Basic understanding of LLM (OpenAI/Gemini/) API and SDK Basic understanding of AI frameworks like Langchain, CrewAI etc. Has some exposure and understanding of Observability and Reliability (such as familiarity with OTEL, understanding of SLOs) Has some degree of familiarity with Cloud environments such as Azure, GCP and AWS If you are passionate about applying your experience in the AI/ML field to an emerging and advancing field of Generative AI, this is a great opportunity for you. You will get to work on a groundbreaking product poised to revolutionize the way companies approach LLM Evaluations.

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 Vice President , Amazon Connect Solution A rchitect ! We are seeking a dynamic, growth-oriented leader to head our Customer Experience / Contact Center CcaaS advanced technology practice, with a focus on Amazon Connect-based solutions . This role is an opportunity to shape and scale one of the most strategic CX offerings in the market today&mdashanchored on Agentic AI, Generative AI and customer service technologies . As Vice President, you will drive the strategy, solution architecture, and execution of our CX technology service line, building a differentiated portfolio of industry-specific IP, co-innovating with AWS, GCP, Microsoft Dynamics and delivering large-scale transformation programs for global clients across industries, with a heavy focus in banking and financial services , . This is a unique opportunity to lead a high-growth business that blends deep domain, cloud-native architecture, applied AI, and real-time customer engagement technologies. You%27ll partner with AWS globally, influence client roadmaps, and lead a multidisciplinary team of engineers, architects, consultants, and GTM specialists to create tangible, measurable outcomes. Responsibilities Business and Practice Leadership Lead the global growth and delivery of our Amazon Connect service line, focusing on innovation, client value, and scale across priority industries. Define and operationalize a differentiated strategy in close partnership with AWS and internal teams (engineering, GTM, delivery). Build and mentor a high-performing team of technical and business leaders across regions. Serve as the executive liaison to AWS partner teams, jointly driving pipeline, solution launches, and field enablement. P&L Management Own and manage the Profit & Loss (P&L) of assigned client portfolios or regional operations. Track revenue, cost, and margin identify opportunities to optimize delivery costs and increase profitability Innovation and IP Development Architect and launch reusable assets, industry accelerators, and solution frameworks built on AWS leveraging Amazon Connect, Lex, Q in Connect, Voice ID, Wisdom, Contact Lens, Tasks, Cases, Bedrock and more. Deliver end-to-end solutions that extend Amazon Connect capabilities, such as intelligent agent desktops, proactive and personalized customer engagement journeys, and AI-driven analytics and automation. Prototype new features, build demos for strategic pursuits, and maintain a future-ready solution roadmap aligned to industry needs. Client Engagement and Delivery Oversight Act as the executive sponsor and strategic architect on major global transformation programs, with a focus on outcome-driven CX modernization. Oversee design and deployment of cloud contact center platforms, ensuring seamless integration with CRMs, case management, knowledge bases, and digital channels. Collaborate with delivery leaders to ensure operational excellence, client satisfaction, and timely execution at scale. Thought Leadership and Market Influence Represent the firm externally as a leading authority on cloud CX transformation and AI-first customer engagement. Drive executive conversations, shape complex pursuits and proposals, and lead strategic RFPs in partnership with GTM and pre-sales teams. Publish thought leadership, speak at AWS and industry events, and help shape market perception of our capabilities in the space . Minimum Q ualifications / Skills Experience in enterprise technology or consulting, with a strong background in customer experience, contact center , or cloud transformation. Experience in leading Amazon Connect implementations at scale, including enterprise migrations and multi-region deployments. Own and manage the Profit & Loss (P&L) of assigned client portfolios or regional operations Proven success in building and scaling technology practices or service lines, ideally with global delivery exposure and AWS alliance experience. Deep expertise in AWS services, including Amazon Connect, Lex, Lambda, Pinpoint, Contact Lens, Wisdom, Q in Connect, and related AI/ML offerings. Hands-on knowledge of telephony (SIP/VoIP), CRM integrations (Salesforce, ServiceNow), and digital channels (chat, social, email). Experience in adjacent CcaaS platform technologies such as MS Dynamics, GCP CCAI, Genesys, Five9, Nice CXone , Zendesk, WFM technologies Strong executive presence and experience in influencing senior clients, leading diverse teams, and navigating complex global programs. Preferred Q ualifications / Skills Experience applying generative AI to enhance customer experience workflows. Familiarity with AWS CCI (Contact Center Intelligence) solutions. Experience with DevOps practices in the context of cloud contact center deployment. Background in BFSI, healthcare, or regulated industries preferred but not required . 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.

We are actively hiring individual developers for the following ServiceNow modules: GRC + TPRM (Third Party Risk Management) ITAM ITOM HAM SAM GenAI + Now Assist Note: Candidates can apply for one or more modules based on their expertise.

Role : In your role as a Lead / Senior Lead Product Engineer(Machine Learning) with us, you will be tasked with creating and delivering novel Machine Learning solutions for next generation of digital customer experience applications. What will you do: Work in a collaboration of machine learning engineers and data scientists. Work on various disciplines of machine learning including but not limited to variety of disciplines including deep learning, reinforcement learning, computer vision, language, speech processing etc. Work closely with product management and design to define project scope, priorities and timelines. Work closely with machine learning leadership team to define and implement the technology and architectural strategy. Take partial ownership of project technical roadmap, which includes deciding, planning, publishing schedules, milestones, technical solution engineering, risks/mitigations, course corrections, trade-outs delivery. Deliver and maintain high-quality scalable systems in a timely and cost-eective manner. Recognising potential use-cases of cutting edge research in Sprinklr products and implementing your own solutions for the same. Stay updated on industry trends, emerging technologies, and advancements in data science, incorporating relevant innovations into the team's workflow. What makes you qualified: Degree in Computer Science or related quantitative field of relevant experience from Tier 1 colleges. At least 5 years of Deep Learning Experience with a distinguished track record on technically fast paced projects. Familiarity with cloud deployment technologies, such as Kubernetes or Docker containers. Experience with large language models (GPT-3,4,5, Pathways, Google Bert, Transformer) and deep learning tools (TensorFlow, Torch). Working experience of software engineering best practices including coding standards, code reviews, SCM, CI, build processes, testing, and operations. Experience in communicating with users, other technical teams, and product management to understand requirements, describe software product features, and technical designs. Nice to have: Experience in directly managing a team of high calibre machine learning engineers and data scientists. Experience with Multi-Modal ML including Generative AI. Interested in and thoughtful about the impacts of AI technology. A real passion for AI!

We are looking for a Data Scientist who will support building AI tools for customers The candidate should be skilled at using large data sets to find opportunities for product and process optimization The candidate must have a proven ability to drive business results with their databased insights The candidate must be comfortable working with a wide range of stakeholders and functional teams Primary Skills Python, AI, ML (Machine Learning) Gen AI Generative AI + RAG, NLP, LLM, Deep Learning, Computer Vision, AWS, Cloud Or Azure Open AI (Any Cloud) Experience- 5 to 16 Years Location - Pune If anyone is interested please share your updated resume on my email id - Devyani.Pillai2@ltimindtree.com

Experience in programming skills in languages such as Python, SQL/NoSQL, C#, C Experience in deploying machine learning models and AI algorithms Experience in GEN AI models such as OpenAI, Runway ML, Google Gemin Development and Deployment of AI/ML and deep learning solutions Experience frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras. Developing API using Flask/Django. Experience in Gen AI, Vector DB/Embeddings, LLM (Large language Model)

We are looking for a skilled and creative Generative AI Engineer with 3 to 4 years of experience to join our AI/ML team. You will work on designing, fine-tuning, and deploying generative models (text, image, audio, or multi-modal) that power next-gen AI applications across business verticals. This is a hands-on role requiring a solid understanding of deep learning, model training/inference pipelines, and deployment best practices. Key Responsibilities • Build and fine-tune generative models using transformer architectures (e.g., GPT, LLaMA, T5, BERT) and diffusion models (e.g., Stable Diffusion). • Integrate LLMs into production workflows using APIs or custom backends. • Design and implement Retrieval-Augmented Generation (RAG) systems using vector databases like FAISS, Qdrant, or Pinecone. • Optimize prompt engineering and chain-of-thought logic for domain-specific tasks. • Evaluate model outputs for accuracy, relevance, hallucination rate, and latency. • Collaborate with product and engineering teams to turn prototypes into scalable systems. • Contribute to model monitoring, drift detection, and feedback loops for continual improvement. Required Skills • 23 years of experience working with machine learning models, with a focus on generative AI. • Proficient in Python and libraries such as PyTorch, TensorFlow, Transformers (Hugging Face). • Hands-on experience with OpenAI API, LangChain, or LlamaIndex. • Familiarity with vector databases (FAISS, Qdrant, Pinecone) and embedding models. • Strong understanding of LLM behavior, including prompt design, token limits, and context handling. • Experience deploying models using FastAPI, Docker, and cloud platforms (AWS, GCP, or Azure). • Good grasp of model evaluation, explainability, and safety techniques. Preferred Qualifications • Experience with multimodal AI (e.g., text-to-image, text-to-audio). • Exposure to MLOps workflows, CI/CD for ML pipelines. • Contributions to open-source AI projects or research papers. • Knowledge of privacy-preserving AI, RLHF, or federated learning is a plus.

Skills (must have) Bachelor's or masters degree in Computer Science, Data Science, Engineering, or a related field. Experience on Agentic AI/ Frameworks Strong programming skills in languages such as Python, SQL/NoSQL etc. Build analytical approach based on business requirements, then develop, train, and deploy machine learning models and AI algorithms Exposure to GEN AI models such as OpenAI, Google Gemini, Runway ML etc. Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras. Knowledge of math, probability, and statistics. Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms. Exposure in developing API using Flask/Django. Good experience in cloud infrastructure such as AWS, Azure or GCP Exposure to Gen AI, Vector DB/Embeddings, LLM (Large language Model Skills Good to Have Experience with MLOps: MLFlow, Kubeflow, CI/CD Pipeline etc. Good to have experience in Docker, Kubernetes etc Exposure in HTML, CSS, Javascript/JQuery, Node.js, Angular/React Experience in Flask/Django is a bonus . Responsibilities Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions. Develop, implement, and deploy AI/ML solutions. Preprocess and analyze large datasets to identify patterns, trends, and insights. Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability. Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP etc. Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed. Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement.

Job Description: We are looking for a highly skilled Automation Test Lead with in-depth knowledge of automation frameworks, tools, and testing strategies. The ideal candidate will have strong technical expertise in Java, JavaScript, and Selenium, along with experience in building and managing automation frameworks. The candidate will also be responsible for leading automation testing efforts across multiple platforms and ensuring high-quality software delivery through continuous integration and deployment. Strong expertise in Java, JavaScript , and automation tools like Selenium, Cucumber, and TestNG . Design and enhance test automation frameworks (Hybrid, Data-Driven, Keyword-Driven, BDD-Cucumber). Manage test automation efforts using Azure DevOps , Jenkins CI/CD , and Dockers . Database Experience : Hands-on experience with SQL Server or Oracle . Experience in API/Service layer testing using POSTMAN . Develop Non-UI/API scripts using Java and libraries like Rest Assured or similar Java libraries. Develop mobile automation scripts using Appium for iOS and Android devices. Knowledge of mobile cloud platforms such as Cloudy or BrowserStack . Build highly scalable and reusable test automation frameworks . Manage automation testing resources : Recruit, train, allocate, and monitor team members. Develop plans to introduce new automation technologies to increase efficiency and productivity. Communicate with team members to gather feedback on the implementation of new automation tools. Create detailed plans for automating processes within projects. Analyze test results and metrics to improve testing practices. Prepare, review, and present test reports to stakeholders. Coordinate with Project Managers, Development Managers , and other stakeholders to ensure the highest level of software quality. Create Automation test plans and strategies for various testing scenarios. Conduct feasibility studies on automation technologies to find opportunities for improvement. Conduct research on emerging technologies to enhance business efficiency and productivity. Ensure compliance with data privacy and security policies during testing, especially when handling sensitive user data. Collaborate with product managers and UX designers to ensure the application meets the highest standards of user satisfaction . Mandatory Skills: Java, Javascript, Selenium, Playwright, Cucumber, Postman, CI/CD, Dockers Desirable Skills: Rest Assured, Appium, Experience: 5 to 8 years

Skills Must Have- Bachelors or masters degree in computer science, Data Science, Engineering, or a related field. Strong programming skills in languages such as Python, SQL etc. Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as Scikit-learn, TensorFlow, PyTorch etc. Experience in ETL and Datawarehouse tools such as Azure Data Factory, Azure Data Lake or Databricks etc. Knowledge of math, probability, and statistics. Familiarity with a variety of ML algorithms. Good experience in cloud infrastructure such as Azure (Preferred), AWS/GCP Exposure to Gen AI, Vector DB, LLM (Large language Model) Skills (good to have) : Experience in Flask/Django, Streamlit is a bonus Experience with MLOps: MLFlow, Kubeflow, CI/CD Pipeline etc. Good to have experience in Docker, Kubernetes etc Responsibilities: Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions. Develop, implement, and deploy AI/ML solutions. Preprocess and analyze large datasets to identify patterns, trends, and insights. Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability. Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP etc. Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed. Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement.

Business Analyst Lead Experience: 7-10 years Location: Gurgaon / Noida GenAI Strategy & Innovation Bridge Generative AI capabilities with business value to drive adoption of LLMs, RAG systems, and AI agents. Identify impactful use cases (chatbots, synthetic data, automation) and conduct build-vs-buy assessments (e.g., GPT-4 vs. fine-tuned Llama 3). Technical Proficiency Skilled in LangChain, LlamaIndex, Azure OpenAI Studio, GCP Vertex AI, Hugging Face. Hands-on with RAG architectures, LoRA fine-tuning, vector databases. Competent in SQL/Python for data validation and synthetic data tools (Gretel, Mostly AI). Business Analysis & Workflows Lead user story mapping for multi-agent setups (AutoGen, CrewAI). BPMN modeling for AI-human collaboration. Engineer GenAI-specific requirements: accuracy , ethical safeguards, latency SLAs. Stakeholder Alignment Translate AI capabilities into measurable outcomes Manage expectations around AI's probabilistic behavior (e.g., fact-checking workflows). Governance & Measurement Define GenAI KPIs: token cost, trust scores, automation rates. Monitor model drift and trigger retraining. Build audit frameworks ensuring compliance (EU AI Act, industry norms).

Must have experience in Data Science Fundamentals, Data Analysis & Visualization, Statistics & Probability Must have experience in prompt engineering, RAG & GenAI. Should have experience in Python or R Should have experience in Data science on GCP.

The AI Engineer with GenAI expertise is responsible for developing advanced technical solutions, integrating cutting-edge generative AI technologies. This role requires a deep understanding of modern technical and cloud-native practices, AI, DevOps, and machine learning technologies, particularly in generative models. You will support a wide range of customers through the "Ideation to MVP" journey, demonstrating proficiency in leading projects and ensuring delivery excellence. Key Responsibilities : Technical & Engineering Leadership : - Develop solutions leveraging GenAI technologies, integrating advanced AI capabilities into cloud-native architectures to enhance system functionality and scalability. - Lead the design and implementation of GenAI-driven applications, ensuring seamless integration with microservices and container-based environments. - Create solutions that fully leverage the capabilities of modern microservice and container-based environments running in public, private, and hybrid clouds. - Contribute to HCL thought leadership across the Cloud Native domain with an expert understanding of open-source technologies (i.e., Kubernetes/CNCF) and partner technologies. - Collaborate on joint technical projects with partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware. Mandatory Skills & Experience. : - A passionate developer with 7+ years of experience in Java, Python, and Kubernetes, comfortable working as part of a paired/balanced team. - Extensive experience in software development, with significant exposure to AI/ML technologies. - Expertise in GenAI frameworks : Proficient in using GenAI frameworks and libraries such as LangChain, OpenAI API, and Hugging Face Transformers. - Prompt engineering : Experience in designing and optimizing prompts for various AI models to achieve desired outputs and improve model performance. - Strong understanding of NLP techniques and tools, including tokenization, embeddings, transformers, and language models. - Proven experience developing complex solutions that leverage cloud-native technologies-featuring container-based, microservices-based approaches; based on applying 12-factor principles to application engineering. - Exemplary verbal and written communication skills (English). - Positive and solution-oriented mindset. - Solid experience delivering Agile and Scrum projects in a Jira-based project management environment. - Proven leadership skills and the ability to lead projects to ensure delivery excellence. Desired Skills & Experience : - Machine Learning Operations (MLOps) : Experience in deploying, monitoring, and maintaining AI models in production environments using MLOps practices. - Data engineering for AI : Skilled in data preprocessing, feature engineering, and creating pipelines to feed AI models with high-quality data. - AI model fine-tuning : Proficiency in fine-tuning pre-trained models on specific datasets to improve performance for specialized tasks. AI ethics and bias mitigation : - Knowledgeable about ethical considerations in AI and experienced in implementing strategies to mitigate bias in AI models. Knowledgeable about vector databases, LLMs, and SMLs, and integrating with such models. - Proficient with Kubernetes and other cloud-native technologies, including experience with commercial Kubernetes distributions (e., Red Hat OpenShift, VMware Tanzu, Google Anthos, Azure AKS, Amazon EKS, Google GKE). - Deep understanding of core practices including DevOps, SRE, Agile, Scrum, Domain-Driven Design, and familiarity with the CNCF open-source community. - Recognized with multiple cloud and technical certifications at a professional level, ideally including AI/ML specializations from providers like Google, Microsoft, AWS, Linux Foundation, IBM, or Red Hat. Verifiable Certification : At least one recognized cloud professional / developer certification (AWS/Google/Microsoft).

Role & responsibilities Job Title: Senior Python Developer Django & Generative AI Location: Hyderabad / Bangalore (Hybrid Work Mode) Experience: 5+ years Employment Type: Full-Time Work Mode: Hybrid (2-3 days onsite per week) Job Summary: We are looking for an experienced Python Developer with strong expertise in Django and hands-on experience with Generative AI technologies to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining scalable backend systems while integrating generative AI models and tools into our products and solutions. Key Responsibilities: Develop and maintain robust, scalable, and efficient backend services using Python and Django Design and implement APIs and microservices to support front-end applications and AI-based features Work with Generative AI models (e.g., OpenAI, Hugging Face Transformers, etc.) to build intelligent features and integrations Collaborate with data scientists and ML engineers to deploy and optimize AI/ML models in production Optimize application performance, implement security best practices, and ensure high availability Participate in code reviews, mentoring, and best practice discussions Work closely with cross-functional teams including product managers, designers, and DevOps Stay up-to-date with the latest industry trends and advancements in AI and backend technologies Required Skills: 5+ years of professional experience in Python backend development Strong experience with the Django framework Experience working with RESTful APIs and microservices architectures Solid understanding of databases (PostgreSQL, MySQL, MongoDB, etc.) Practical experience with Generative AI frameworks and APIs (e.g., OpenAI, LangChain, Hugging Face, Stable Diffusion, etc.) Familiarity with AI model integration , inference pipelines, and prompt engineering Proficiency with Git , CI/CD pipelines, and containerization tools (Docker, Kubernetes) Experience in deploying applications on cloud platforms (AWS, Azure, GCP) Excellent problem-solving and communication skills

Key Responsibilities: Hands-on Development: Develop and implement machine learning models and algorithms , including supervised, unsupervised, deep learning, and reinforcement learning techniques. Implement Generative AI solutions using technologies like RAG (Retrieval-Augmented Generation), Vector DBs , and frameworks such as LangChain and Hugging Face, Agentic AI . Utilize popular AI/ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn . Design and deploy NLP models and techniques , including text classification, RNNs, CNNs, and Transformer-based models like BERT. Ensure robust end-to-end AI/ML solutions, from data preprocessing and feature engineering to model deployment and monitoring. Technical Proficiency: Demonstrate strong programming skills in languages commonly used for data science and ML, particularly Python . Leverage cloud platforms and services for AI/ML, especially AWS , with knowledge of AWS Sagemaker, Lambda, DynamoDB, S3 , and other AWS resources. Mentorship: Mentor and coach a team of data scientists and machine learning engineers, fostering skill development and professional growth. Provide technical guidance and support, helping team members overcome challenges and achieve project goals. Set technical direction and strategy for AI/ML projects, ensuring alignment with business goals and objectives. Facilitate knowledge sharing and collaboration within the team, promoting best practices and continuous learning. Strategic Advisory: Collaborate with cross-functional teams to integrate AI/ML solutions into business processes and products. Provide strategic insights and recommendations to support decision-making processes. Communicate effectively with stakeholders at various levels, including technical and non-technical audiences. Required Skills: Extensive proficiency with generative AI technologies , including RAG, Vector DBs , and frameworks such as LangChain and Hugging Face, Agentic AI . Proficiency in machine learning algorithms and techniques , including supervised and unsupervised learning, deep learning, and reinforcement learning. Extensive proficiency with AI/ML frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn . Strong knowledge of natural language processing (NLP) techniques and models , including Transformer-based models like BERT. Proficient programming skills in Python . Proficiency with cloud platforms like AWS , including AWS Sagemaker, Lambda, DynamoDB, S3 , and other AWS resources. Proven ability to lead a team of data scientists or machine learning engineers on complex projects. Strong project management skills, with the ability to prioritize tasks, allocate resources, and meet deadlines. Excellent communication skills and the ability to convey complex technical concepts to diverse audiences. Strong problem-solving and analytical abilities. Proven ability to manage projects and activities. Preferred Skills: Proficiency in setting technical direction and strategy for AI/ML projects. Knowledge of the Insurance domain. Ability to mentor and coach junior team members, fostering growth and development. Proven track record of successfully managing AI/ML projects from conception to deployment.

Developing and implementing cutting-edge generative AI models and algorithms to solve complex business challenges. Primarily focus on backend development, working closely with cross-functional teams to understand requirements, design solutions, and deploy AI-driven systems . Responsibilities: Integrate state-of-the-art generative AI models. Work with generative AI tasks, including image synthesis, text generation, and audio generation. Conduct research and stay up-to-date with the latest advancements in generative AI. Evaluate and improve the performance of existing generative models. Collaborate with data scientists and engineers to gather and preprocess data for training generative models. Collaborate with software engineers to deploy and integrate generative models into production systems. Ensure the ethical and responsible use of generative AI technologies. Primary Technical Skills: Strong programming skills in Python and experience with backend development. Familiarity with cloud platforms such as AWS or Azure (Preferred). Proficiency in NoSQL and SQL Databases Secondary Technical Skills: Basic knowledge of computer vision, natural language processing, or audio processing is a plus. Knowledge of distributed computing and parallel processing. Strong logical skills to work with Generative AI solutions and fast-paced AI Tools

Urgent Hiring Genpact (on role) for MLOps Engineer Permanent role Location: Hyderabad Shift Timing: 12 PM to 10 PM IST Looking for candidates with Immediate to serving notice period of 30-45 days maximum. Candidates with the right combination of ML lifecycle management , cloud infrastructure , and generative AI expertise. Breakdown: Role keywords : MLOps, LLM Ops, ML Engineer Technical skills: T echnical skills Cloud platforms : AWS, Azure Automation skills : CI/CD Containerization : Docker, Kubernetes Monitoring tools : Prometheus, Grafana With a startup spirit and 115,000+ curious and courageous minds, we have the expertise to go deep with the worlds biggest brandsand we have fun doing it. We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. Were harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people. Now, we’re calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing., People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower. Welcome to the relentless pursuit of better. Inviting applications for the role of Lead Consultant, ML Ops Engineer ! We are seeking a highly skilled and experienced ML Ops / LLM Ops Engineer to join our team. You will play a crucial role in building and maintaining the infrastructure and pipelines for our cutting-edge Generative AI applications, working closely with the Generative AI Full Stack Architect. Your expertise in automating and streamlining the ML lifecycle will be instrumental in ensuring the efficiency, scalability, and reliability of our Generative AI models in production. Responsibilities Design, develop, and implement ML/LLM pipelines for generative AI models, encompassing data ingestion, pre-processing, training, deployment, and monitoring. Conduct research and experimentation to explore new generative AI techniques and stay up to date with industry trends. Integrate GenAI APIs and microservices into existing applications and systems. Develop solutions leveraging GanAI technologies, integrating advanced AI capabilities into cloud native architectures to enhance system functionality and scalability. Automate ML tasks across the model lifecycle, leveraging tools like GitOps, CI/CD pipelines, and containerization technologies (e.g., Docker, Kubernetes). MLOps Support and Maintenance on ML Platforms Dataiku/Sagemaker. Implement version control, CI/CD pipelines, and containerization techniques to streamline ML and LLM workflows. Design and implement monitoring and alerting systems to track model performance, data drift, and other key metrics. Conduct ground truth analysis to evaluate the accuracy and effectiveness of LLM outputs compared to known, correct data. Work closely with infrastructure and DevOps teams to provision and manage resources for ML and LLM development and deployment. Develop and maintain robust monitoring and alerting systems for generative AI models in production, ensuring proactive identification and resolution of issues. Collaborate with the Generative AI Full Stack Architect and other engineers to optimize model performance and resource utilization. Manage and maintain cloud infrastructure (e.g., AWS, Azure) for ML workloads, ensuring cost-efficiency and scalability. Stay up to date on the latest advancements in MLOps and incorporate them into our platform and processes. Communicate effectively with technical and non-technical stakeholders about the health and performance of generative AI models. Qualifications we seek in you! Minimum Qualifications Bachelor’s degree in computer science, Data Science, Engineering, or a related field, or equivalent experience. Deep understanding of generative AI concepts, including neural networks, recurrent neural networks, and GANs. Experience in MLOps or related areas, such as DevOps, data engineering, or ML infrastructure. Proven experience in ML Ops, LLM Ops, or related roles, with hands-on experience deploying and managing machine learning and large language model pipelines Expertise in cloud platforms (e.g., AWS, Azure) for ML workloads. Strong understanding of CI/CD principles and containerization technologies like Docker and Kubernetes. Familiarity with monitoring and alerting tools for ML systems (e.g., Prometheus, Grafana). Excellent communication, collaboration, and problem-solving skills. Ability to work independently and as part of a team. Passion for Generative AI and its potential to revolutionize various industries. 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 diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter, Facebook, LinkedIn, and YouTube. 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 'starter kit,' paying to apply, or purchasing equipment or training.

Pandita AI is a rapidly growing Applied AI startup headquartered in Palo Alto, California, with an Applied AI division based in Mysore, India. We specialize in building domain-specific LLMs, multimodal generative systems, and agentic workflows for real-world problems across scientific computing, document intelligence, and industrial automation. We are seeking a Generative AI Applied Scientist to join our core research team in Mysore. This role is ideal for individuals who excel at the intersection of deep research, problem discovery, and real-world deployment, offering high-impact opportunities and ownership. Key Responsibilities Proactively identify high-value problem areas where generative AI can deliver measurable impact. Translate ambiguous or emerging needs into well-defined ML tasks and deliver production-grade solutions. Design and develop custom generative models (e.g., Transformers, LLMs, Diffusion Models, VAEs). Own the end-to-end lifecycle of model development from prototyping to cloud/API deployment. Possess good communication skills to engage with customers, identify problem statements, and communicate impactful results. Collaborate across research, product, and engineering teams to embed generative AI into vertical solutions. Required Qualifications PhD or Masters with Thesis and 5+ years in Computer Science, Machine Learning, AI, or a closely related field. Strong research track record with publications in top-tier conferences (e.g., IEEE TPAMI, CVPR, ICML, ICLR, NeurIPS, ACL). Expertise in deep generative models, representation learning, and probabilistic methods. Experience in building models that solve real-world problems and can be scaled into production systems. Fluency in Python and modern ML stacks (e.g., PyTorch, JAX, Hugging Face). Willingness to work onsite in Mysore and collaborate across time zones with the US-based HQ. Involves travel about 25-50% to client locations. Preferred Qualifications Experience in LLM fine-tuning, multimodal systems, or diffusion-based generation. Familiarity with retrieval-augmented generation, causal inference, or workflow agents. Experience deploying models via Docker, ONNX, or cloud-native APIs (AWS/GCP). A track record of discovering novel application areas and developing first-of-their-kind solutions. What We Offer A fast-paced startup environment backed by cutting-edge research and global customers. ESOPs/Equity and competitive compensation. Access to high-performance compute (A100s, H100s), internal datasets, and modern MLOps tooling. Clear runway for career growth, technical leadership, and IP ownership. A collaborative and ambitious team working on some of the most important problems in applied AI from Mysore and Palo Alto.,

As a Data Science Associate Consultant at ZS, you will design, develop, and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets to help clients make better fact-based decisions. Your responsibilities will include staying updated with the latest developments in Deep Learning and AI research, implementing and fine-tuning advanced models in deep learning, collaborating with cross-functional teams to develop and deploy machine learning models in production, contributing to research projects advancing AI and machine learning, and integrating engineering principles into data science workflows. You will be expected to have a Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, along with 4-7 years of Data Science experience. Proficiency in generative AI, deep learning, statistical techniques, and programming languages such as Java/Python/R is required. Additionally, you should have knowledge of big data/advanced analytics concepts and algorithms, excellent oral and written communication skills, strong attention to detail, critical thinking, problem-solving skills, motivation, work ethic, and maturity. Exposure to Generative AI is a plus. ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. The company is committed to providing employees with a flexible and connected way of working, allowing a combination of work from home and on-site presence at clients/ZS offices. Travel may be required based on the business needs of your project and client, providing opportunities for professional growth and diverse experiences. ZS is focused on building a diverse and inclusive company where individuals from all backgrounds can bring their passions to inspire life-changing impact. The company encourages candidates to apply even if they do not meet all the requirements listed. ZS is an equal opportunity employer committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. Candidates interested in applying must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts, is required to be considered. More information can be found at www.zs.com.,

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology. We are looking for an experienced AI Developer with proficiency in Python, Generative AI (GenAI) incorporating Retrieval-Augmented Generation (RAG), Robotic Process Automation (RPA), and advanced document intelligence utilizing OCR and LLMs. In this role, you will be responsible for developing AI-driven solutions that extract valuable insights from intricate documents, whether digital or scanned, by utilizing tools such as Tesseract, Hugging Face Transformers, or similar technologies. Your primary focus will be on creating end-to-end automation and AI integration for intelligent document processing, enhancing decision-making capabilities and optimizing workflow efficiencies throughout the organization. Key Responsibilities: - Develop and implement GenAI solutions with RAG pipelines to facilitate intelligent querying and summarization of document repositories. - Extract and organize data from complex documents (e.g., PDFs, Images) using a combination of OCR engines (e.g., Tesseract) and AI-based document and vision language models (DiNO, SmolVLM, etc.). - Incorporate OCR+LLM pipelines into business applications for processing scanned forms, contracts, and other unstructured documents. - Automate repetitive, document-centric tasks using RPA tools (e.g., Blue Prism, etc.). - Design and manage Python-based workflows to coordinate document ingestion, extraction, and LLM-powered processing. - Collaborate across various teams including product, data, and operations to deliver scalable, AI-enhanced document automation solutions. - Ensure model performance, compliance, and audit readiness for all document-handling workflows. Required Qualifications: - Minimum of 4 years of hands-on programming experience with Python. - Demonstrated expertise in building RAG-based GenAI applications using tools like LangChain, LlamaIndex, or equivalent. - Proficiency in OCR tools (e.g., Tesseract, PaddleOCR) and transformer-based document models. - Experience working with LLMs for document understanding, summarization, and Q&A. - Proficient in RPA development utilizing platforms like Blueprism, etc. - Knowledge of vector databases (e.g., FAISS, Pinecone) and embeddings for semantic retrieval. - Strong understanding of REST APIs, JSON, and data integration workflows. Please note that unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.,

We're Hiring: AI/ML Platform Lead Are you passionate about driving cutting-edge AI and machine learning initiatives? Join as an AI/ML Platform Lead and lead the future of intelligent data solutions! Job Description & Requirements: Were looking for a dynamic professional with: A proven track record with 5+ years of experience in AI/ML platform management or a similar role Deep expertise in machine learning, data analytics, and cloud computing Hands-on experience with platforms such as Dataiku, Azure ML, Azure AI, Foundry , and other related systems Strong knowledge of Agile methodologies , DevOps practices , and CI/CD pipeline management Exceptional ability to manage multiple priorities in a fast-paced, dynamic environment Proven leadership skills in guiding cross-functional teams and leading large-scale tech initiatives Experience with Agile methodologies is a plus Interested? Send your CV to admin@spearheadps.com or reach out via WhatsApp- 9899080360 for more details!