1456 Generative Ai Jobs - Page 31

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 Principal 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. Basics of Statistics Experience in ML models Linear Regression, Logistic regression, Random forest etc 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. Experience in Azure platform Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science, Computer Science, Statistics, or a related field. . Experience in data science, machine learning, AI applications, and generative AI modelling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Senior Manager - Senior Data Scientist (NLP & Generative AI) Location: PAN India / Remote Employment Type: Full-time About the Role We are seeking a highly experienced Senior data scientist with 8+ years of expertise in machine learning, focusing on NLP, Generative AI, and advanced LLM ecosystems. This role demands leadership in designing and deploying scalable AI systems leveraging the latest advancements such as Google ADK, Agent Engine, and Gemini LLM. You will spearhead building real-time inference pipelines and agentic AI solutions that power complex, multi-user applications with cutting-edge technology. Key Responsibilities Lead the architecture, development, and deployment of scalable machine learning and AI systems centered on real-time LLM inference for concurrent users. Design, implement, and manage agentic AI frameworks leveraging Google Adk, Langgraph or custom-built agents. Integrate foundation models (GPT, LLaMA, Claude, Gemini) and fine-tune them for domain-specific intelligent applications. Build robust MLOps pipelines for end-to-end lifecycle management of models-training, testing, deployment, and monitoring. Collaborate with DevOps teams to deploy scalable serving infrastructures using containerization (Docker), orchestration (Kubernetes), and cloud platforms. Drive innovation by adopting new AI capabilities and tools, such as Google Gemini, to enhance AI model performance and interaction quality. Partner cross-functionally to understand traffic patterns and design AI systems that handle real-world scale and complexity. Required Skills & Qualifications Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related fields. 7+ years in ML engineering, applied AI, or senior data scientist roles. Strong programming expertise in Python and frameworks including PyTorch, TensorFlow, Hugging Face Transformers. Deep experience with NLP, Transformer models, and generative AI techniques. Practical knowledge of LLM inference scaling with tools like vLLM, Groq, Triton Inference Server, and Google ADK. Hands-on experience deploying AI models to concurrent users with high throughput and low latency. Skilled in cloud environments (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG). Experience with agentic AI using Adk, LangChain, Langgraph and Agent Engine Preferred Qualifications Experience with Google Gemini and other advanced LLM innovations. Contributions to open-source AI/ML projects or participation in applied AI research. Knowledge of hardware acceleration and GPU/TPU-based inference optimization. Exposure to event-driven architectures or streaming pipelines (Kafka, Redis).

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 Senior Principal Consultant, Sr . Tech Lead/Architect - Gen AI,AI &ML! In this role, you will be dealing with designing and architecting scalable Gen AI, machine learning solutions, developing models, and ensuring their successful deployment. This role requires collaboration with data scientists, ML engineers, and stakeholders to create impactful Gen AI/AI-driven solutions Responsibilities Design and Implement AI Solutions : Architect and develop AI-driven solutions, focusing on generative AI technologies. Cloud Integration : Integrate AI capabilities into cloud platforms, ensuring scalability, security, and compliance. Collaboration : Work closely with stakeholders, including developers, analysts, and business leaders, to understand requirements and deliver solutions. Thought Leadership : Provide guidance and mentorship on AI and cloud technologies, staying updated with the latest advancements. MLOps : Automate machine learning pipelines, including training, testing, deployment, monitoring, and scaling of AI models. Data Analysis : Conduct ongoing data analysis to build or fine- tune AI models for optimal performance. Security and Compliance: Ensure compliance with data privacy and security standards. Stay updated on industry best practices for ML security. Hands-on experience with Large Language Models (LLMs) from OpenAI, GPT-4, etc., with a demonstrated ability to implement solutions utilizing these models. Familiarity with generative models, prompt engineering, and fine-tuning techniques to develop innovative AI solutions. Designing, developing, and implementing solutions tailored to meet client needs. Understanding business requirements and translating them into technical solutions using GEN AI Collaborate with service line teams to design, implement and manage Gen-AI solution Collaborating with stakeholders to align solutions with project goals. Conducting thorough testing to ensure functionality and usability Managing expectations and addressing issues during implementation Analysing, planning, and executing project tasks efficiently for successful delivery. Works closely with service line teams to design, implement, and manage Generative AI solutions Strong understanding of AWS, with a focus on Bedrock models, and expertise in AI/ML, and Cognitive Services Experience working in Agile development environments Qualifications we seek in you! Minimum Qualifications Bachelor&rsquos degree in computer science, Engineering, or a related field. Strong programming skills in Python, R, or Java. Experience with database management systems, such as SQL and NoSQL. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies, such as Docker and Kubernetes. Proficiency in machine learning frameworks, such as TensorFlow, PyTorch , or Keras , and experience with generative AI techniques, such as GANs, VAEs, and transformers. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Preferred Qualifications/ Skills Relevant architecture certifications, such as AWS Certified Solutions Architect, AWS Certified Machine Learning - Specialty, Google Cloud Professional Cloud Architect, Google Cloud Professional Machine Learning Engineer or Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: Azure Machine Learning Experience with big data technologies (Hadoop, Spark). Knowledge of DevOps practices and CI/CD tools. 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.

Lead Assistant Manager - Data Scientist (NLP & Generative AI) Location: PAN India / Remote Employment Type: Full-time About the Role We are looking for a motivated Data Scientist with 5+ years of experience in machine learning and data science, focusing on NLP and Generative AI. You will contribute to the design, development, and deployment of AI solutions centered on Large Language Models (LLMs) and agentic AI technologies, including Google ADK, Agent Engine, and Gemini. This role involves working closely with senior leadership to build scalable, real-time inference systems and intelligent applications. Key Responsibilities Lead the architecture, development, and deployment of scalable machine learning and AI systems centered on real-time LLM inference for concurrent users. Design, implement, and manage agentic AI frameworks leveraging Google Adk, Langgraph or custom-built agents. Integrate foundation models (GPT, LLaMA, Claude, Gemini) and fine-tune them for domain-specific intelligent applications. Build robust MLOps pipelines for end-to-end lifecycle management of models-training, testing, deployment, and monitoring. Collaborate with DevOps teams to deploy scalable serving infrastructures using containerization (Docker), orchestration (Kubernetes), and cloud platforms. Drive innovation by adopting new AI capabilities and tools, such as Google Gemini, to enhance AI model performance and interaction quality. Partner cross-functionally to understand traffic patterns and design AI systems that handle real-world scale and complexity. Required Skills & Qualifications Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related fields. 5+ years in ML engineering, applied AI, or data scientist roles. Strong programming expertise in Python and frameworks including PyTorch, TensorFlow, Hugging Face Transformers. Deep experience with NLP, Transformer models, and generative AI techniques. Hands-on experience deploying AI models to concurrent users with high throughput and low latency. Skilled in cloud environments (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG). Experience with agentic AI using Adk, LangChain, Langgraph and Agent Engine Preferred Qualifications Experience with Google Gemini and other advanced LLM innovations. Contributions to open-source AI/ML projects or participation in applied AI research. Knowledge of hardware acceleration and GPU/TPU-based inference optimization.

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 Principal Consultant - Data Analyst 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 Analyze data sets: Examine large data sets to identify trends, patterns, and anomalies that can inform business strategies. Create reports and dashboards: Develop comprehensive reports and interactive dashboards to present findings to stakeholders. Collaborate with teams: Work closely with cross-functional teams, including marketing, finance, and operations, to understand data needs and deliver solutions. Ensure data accuracy: Validate data sources and ensure the accuracy and integrity of data used for analysis. Support decision-making: Provide insights and recommendations based on data analysis to support business decision-making processes. Experience in GenAI project Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . Experience in data science, machine learning, AI applications, and generative AI modelling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

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 Senior Principal 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. Basics of Statistics Experience in ML models Linear Regression, Logistic regression, Random forest etc 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. Experience in Azure platform Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . Experience in data science, machine learning, AI applications, and generative AI modelling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

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 Senior Principal 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. Basics of Statistics Experience in ML models Linear Regression, Logistic regression, Random forest etc 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. Experience in Azure platform Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science, Computer Science, Statistics, or a related field. . Experience in data science, machine learning, AI applications, and generative AI modelling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

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 Principal 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. Basics of Statistics Experience in ML models Linear Regression, Logistic regression, Random forest etc 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. Experience in Azure platform Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . Experience in data science, machine learning, AI applications, and generative AI modelling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Key Responsibilities: Generative AI Systems Design : Architect scalable, high-performance applications powered by Generative AI models (e.g., LLMs, diffusion models), with a focus on real-world usability and business integration. Prompt Engineering & RAG Pipelines : Design and implement optimized prompt strategies and Retrieval-Augmented Generation (RAG) workflows using LangChain and similar frameworks. Agentic AI & Autonomous Workflows : Develop and manage intelligent agents capable of multi-step reasoning, planning, and decision-making using frameworks like LangChain Agents or custom implementations. Vector Store Integration : Design and integrate vector databases for semantic search and document retrieval in GenAI workflows. End-to-End AI Application Development : Build and deploy AI-driven applications from scratch using Python and modern ML/AI toolkits. Ensure clean integration with APIs, databases, and frontend services. Microservices & API Development : Create modular, maintainable backend services using microservices architecture. Ensure RESTful APIs for smooth communication. CI/CD & DevOps : Develop and maintain CI/CD pipelines for model and app deployment. Ensure reproducibility, automated testing, and smooth rollout using tools like GitHub Actions, GitLab CI/CD, or Jenkins. Database Management : Use PostgreSQL and NoSQL databases effectively in storing structured and unstructured data, with focus on performance, indexing, and scaling. Performance Optimization : Continuously monitor, benchmark, and optimize applications for performance, scalability, and cost-efficiency across cloud and on-prem environments. Collaboration & Mentorship : Work closely with product managers, AI researchers, and junior developers. Lead by example and provide technical mentorship in AI system design and production-readiness. Required Qualifications: Technical Expertise : Strong proficiency in Python (mandatory) and experience with AI/ML libraries like FastAI , Hugging Face Transformers, and OpenAI APIs. Experience implementing LangChain workflows, prompt chaining, agents, tools, and memory systems. Hands-on experience building RAG systems using vector DBs like FAISS, Pinecone, Weaviate , or Chroma . Solid understanding of Generative AI technologies (LLMs, image/video generation, embeddings). Working knowledge of Agentic AI concepts for building autonomous tools and applications. Backend & Architecture : Strong skills in system design , API development, and microservices-based backend architecture. Experience with PostgreSQL and NoSQL databases (e.g., MongoDB, DynamoDB). Cloud & DevOps : Familiarity with CI/CD pipelines , containerization (Docker), and cloud deployments (AWS/GCP/Azure). Git-based version control and collaborative development workflows. Communication & Leadership : Ability to translate AI research into production-ready applications. Strong collaboration skills and experience leading engineering efforts or mentoring peers. Preferred (Nice to Have): Experience working with LLMOps tools Exposure to data labeling, fine-tuning , or custom LLM training . Familiarity with streaming architectures or real-time AI inference . Location- Pune, Baner Client Office Work Mode- Hybrid ( 3 days a week) Payments Domain is Mandatory

Job Title : AI/ML Lead - AI Build Plan and Investment Location : Hyderabad Experience : 10-12 years Job Description : We are seeking a highly skilled and experienced AI/ML Lead to spearhead the development and execution of our AI build plan and investment strategy. The ideal candidate will possess a deep understanding of AI/ML technologies, strong leadership abilities, and a proven track record of delivering successful AI initiatives. Responsibilities : AI Build Plan Development : - Conduct in-depth analysis of business requirements and identify AI/ML opportunities to drive growth and efficiency. - Develop a comprehensive AI build plan outlining strategic objectives, technology roadmap, and resource allocation. - Prioritize AI initiatives based on business impact, feasibility, and ROI. - Collaborate with cross-functional teams to align AI strategy with overall business goals. AI Investment Strategy : - Define AI investment criteria and evaluate potential AI projects for funding. - Develop financial models to assess the ROI of AI initiatives and justify investments. - Manage AI budget allocation and track spending against the approved plan. AI Team Leadership : - Build and lead a high-performing AI team of data scientists, machine learning engineers, and other AI professionals. - Provide technical guidance and mentorship to team members. - Foster a culture of innovation and experimentation within the AI team. AI Model Development and Deployment : - Oversee the development and deployment of AI models across various business domains. - Ensure the quality, accuracy, and scalability of AI models. - Monitor model performance and implement necessary improvements. Technology Evaluation and Adoption : - Stay up-to-date with the latest advancements in AI/ML technologies. - Evaluate new AI tools and platforms to identify potential benefits for the organization. - Drive the adoption of AI technologies across the enterprise. Required Qualifications : - Strong proficiency in Python, C++, and deep learning frameworks (Keras, TensorFlow, PyTorch, etc.) - Extensive experience in machine learning algorithms (CNNs, RNNs, LSTMs, Seq2seq) and neural network architectures. - Proven ability to create and optimize AI models for various use cases. - Deep understanding of performance and accuracy metrics for different AI models. - Experience with AI model optimization for CPUs and GPUs. - Knowledge of machine learning accelerators and related software. - Excellent communication and interpersonal skills. - Strong analytical and problem-solving abilities. - Experience with open-source tools for AI model optimization (TF/ONNX/PyTorch). - Exposure to GenAI technologies and their potential applications. Preferred Qualifications : - Experience in leading AI projects from inception to deployment. - Knowledge of cloud platforms (AWS, Azure, GCP). - Experience with big data technologies and tools. - A Master's or Ph.D. degree in computer science, statistics, or a related field.

He/She will be responsible for building innovative products with the latest in AI technology to solve real-world problems. Need solid foundation in ML AI & 1 Yr in Gen AI Expert inPython,LLM Models (RAG) model fine-tuning &agentic AI systems Required Candidate profile Expert inPythonwith strong understanding LLMs Experience buildingRAG pipelines& integrating vector search systems. Expert inmodel fine-tuningusing LoRA, PEFT, or Hugging Face Transformers. Perks and benefits Best Salary + Company Benefits

Job Title: Senior Data Scientist IT/OT, SAP & Classical ML Experience: 7+ Years Location: Jaipur / Noida / Pune Employment Type: Full-time About the Role: We are seeking an experienced Senior Data Scientist with a strong background in IT/OT systems, SAP integration, and classical machine learning techniques. The ideal candidate will bring deep technical expertise combined with a consulting mindset and excellent communication skills. This role involves working closely with clients to understand complex business challenges and delivering actionable AI/ML-driven solutions across diverse enterprise environments. Key Responsibilities: Develop and implement classical machine learning models tailored for IT/OT and SAP data environments. Collaborate with clients and cross-functional teams to analyze requirements and translate them into scalable data science solutions. Integrate data from SAP and other enterprise systems to build comprehensive predictive and prescriptive analytics. Conduct exploratory data analysis, feature engineering, model training, validation, and deployment. Present findings, insights, and recommendations clearly to both technical and non-technical stakeholders. Support digital transformation initiatives leveraging data-driven decision-making in IT and OT operations. Stay updated on industry trends, emerging technologies, and best practices in data science and enterprise IT/OT systems. Required Qualifications: 7+ years of professional experience in Data Science, focusing on classical ML techniques. Proven experience working with IT/OT systems and integrating SAP data into analytic workflows. Strong proficiency in Python/R and ML frameworks such as scikit-learn, TensorFlow, or PyTorch. Demonstrated consulting experience with client-facing engagements and solution delivery. Excellent communication and presentation skills to convey complex concepts effectively. Bachelors or Master’s degree in Computer Science, Engineering, Data Science, or related fields. Preferred Qualifications: Hands-on experience with SAP modules and data structures. Knowledge of IoT and industrial OT systems. Experience with cloud platforms (AWS, Azure, GCP) and MLOps. Familiarity with data visualization tools like Power BI or Tableau. What We Offer: Exciting opportunity to work on digital transformation projects in leading enterprises. Collaborative work culture across Jaipur, Noida, and Pune offices. Competitive salary and benefits package. Continuous learning and professional growth opportunities. If this sounds like you, we'd love to connect! Apply now to chaity.mukherjee@celebaltech.com to be part of our innovative team.

Data Scientist Gen AI & Agentic AI Experience: 2+ Years Location: Jaipur (WFO) Employment Type: Full-time About the Role: We are looking for a highly motivated Data Scientist with experience in Generative AI , Agentic AI , and a strong consulting mindset. This is a client-facing role that blends deep technical expertise with the ability to understand and solve business problems through cutting-edge AI technologies. Youll be part of a forward-thinking team working on impactful projects in AI transformation across industries. Key Responsibilities: Design, develop, and deploy AI/ML solutions with a focus on Generative AI (e.g., LLMs, prompt engineering) and Agentic AI frameworks . Collaborate with clients and internal stakeholders to understand business needs and translate them into AI solutions. Prototype and implement intelligent agent-based systems for automation, decision-making, and conversational interfaces. Build proof-of-concepts (POCs), MVPs, and production-ready solutions in real-world business environments. Work on data preparation, model fine-tuning, and evaluation of large language models (LLMs). Present insights, solutions, and progress to clients in a clear and consultative manner. Stay current with AI trends and contribute to internal knowledge-sharing and innovation. Required Qualifications: 2+ years of experience in Data Science, with hands-on exposure to Generative AI and LLMs (e.g., OpenAI, Cohere, Hugging Face). Experience with Agentic AI concepts or frameworks like LangChain, AutoGen, CrewAI, or similar. Strong Python programming skills and familiarity with ML/DL frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Consulting or client-facing experience with the ability to translate business needs into technical requirements. Good understanding of NLP, prompt engineering, and conversational AI workflows. Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or related fields. Preferred Qualifications: Experience in building AI solutions for enterprise clients. Familiarity with MLOps and deploying models to production. Prior experience with cloud platforms (AWS, Azure, or GCP). Knowledge of vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG) techniques. What We Offer: Exciting projects at the intersection of AI, automation, and enterprise transformation. A collaborative and fast-paced environment focused on innovation. Opportunities for continuous learning and professional growth. Flexible working model with Jaipur as the base location. If this sounds like you, we'd love to connect! Apply now to chaity.mukherjee@celebaltech.com to be part of our innovative team.

What You Will Do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What You Will Need Bachelor's/Master's degree in computer science (or similar degrees) 4-7 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning etc. Familiarity with tools like SQL, R, Python, etc. Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: Experience in working on personalization or other ML problems Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift

This role is for one of the Weekday's clients Min Experience: 3 years JobType: full-time Requirements Key Responsibilities Design, develop, and fine-tune diffusion models for tasks such as furniture detection, placement, replacement, and ultra-realistic rendering in images. Build advanced image re-rendering pipelines that allow seamless integration of furniture into varied real-world environments. Collaborate with product and design teams to understand user needs and develop impactful AI-driven visual solutions. Research and implement cutting-edge generative AI techniques for photorealistic image synthesis. Train, optimize, and deploy large-scale models, ensuring high fidelity and accuracy across diverse datasets. Work closely with DevOps to develop scalable APIs and integrate AI models into production environments. Requirements Technical Experience: 38 years of hands-on experience in Generative AI, with a focus on diffusion models. Proven expertise in object or furniture replacement, placement, and realistic re-rendering using generative approaches. Core Skills: Proficiency inPyTorchfor deep learning model development. In-depth knowledge and experience fine-tuning diffusion models (e.g., Stable Diffusion, DDPM). Experience withGANs,NeRF, or similar models for photorealistic image generation. Strong background indistributed trainingand GPU acceleration (CUDA). Familiarity with 3D vision concepts including rendering pipelines, texture mapping, and lighting simulation. Experience working with large-scale datasets and performance tuning for model accuracy and efficiency. Soft Skills Excellent analytical and problem-solving abilities. Strong communication skills to explain complex architectures and technical decisions. Proactive, collaborative, and team-oriented mindset. Keywords / Tools Generative AI, Diffusion Models, PyTorch, Computer Vision, Deep Learning, CNN, 3D Vision, Image Processing, Object Detection, CUDA, Stable Diffusion, NeRF, GANs

Role and Responsibilities Develop and fine-tune LLMs using techniques like RAG, transfer learning, or domain-specific adaptation Build AI agents using frameworks like LangChain or CrewAI to manage dynamic and multi-step workflows Work with vector databases (e.g., Pinecone) to enable semantic search and retrieval Design and maintain ETL pipelines and ensure smooth data preprocessing and transformation Implement NLP solutions for tasks like intent detection, sentiment analysis, and content generation Develop backend APIs and services using Python frameworks like FastAPI or Flask Contribute to scalable microservice-based architectures Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. 2 to 4 years in AI/ML development and backend system Machine Learning Fundamentals: Strong grasp of algorithms, model training, evaluation, and tuning Generative AI Models: Experience working with LLMs, RAG architecture, and fine-tuning techniques LangChain or Similar Frameworks: Hands-on experience building AI workflows using toolkits like LangChain Natural Language Processing (NLP): Proficiency in text analytics, classification, tokenization, embeddings Vector Databases: Practical use of tools like Pinecone, FAISS, or similar for retrieval-augmented generation Big Data Handling: Ability to work with large datasets, optimize storage, and processing pipelines SQL/NoSQL: Experience in querying and managing structured and unstructured data Python & API Development: Proficiency in Python and frameworks like FastAPI or Flask ETL & Data Preprocessing: Strong understanding of building pipelines for clean and efficient data processing Soft Skills: Strong problem-solving, communication, and collaboration abilities Good-to-Have Skills: Agentic AI Tools: Exposure to CrewAI or similar platforms for orchestrating multi-agent interactions Content Structuring: Experience in clustering, topic modeling, or organizing unstructured data ETL Enhancements: Advanced optimization techniques for faster and more efficient pipelines Domain Exposure: Prior work on projects involving customer insights, chat summarization, or sentiment analysis

Key Responsibilities: Act as the strategic interface between IT and Commercial business teams. Lead the execution of commercial excellence projects across sales, marketing, and customer engagement functions. Champion the adoption of AI/ML/GenAI and other digital innovations to drive efficiency and competitive advantage. Oversee CRM strategy, implementation, governance, and continuous improvement. Manage and mentor a high-performing team of 35 IT professionals. Collaborate with cross-functional stakeholders to ensure successful change management and user adoption. Track project KPIs and ensure timely and within-budget delivery. Requirements: Proven experience in IT-business partnering, preferably in a commercial function. Strong understanding of CRM systems and their impact on business. Knowledge and passion for emerging technologies such as Generative AI, analytics, and automation. Exceptional leadership, stakeholder management, and communication skills. Experience managing change initiatives and delivering digital transformation.

Role & responsibilities Lead the architecture, development, deployment and implementation of AI systems incorporating generative models and agentic AI workflows, utilizing at least one cloud platform (Azure or GCP). Build and optimize GenAI applications, including chatbots, copilots and AI agents using Python. Collaborate with product teams to integrate AI solutions into platforms and customer-facing applications. Evaluate and select models (e.g. OpenAI, Gemini, LLaMA etc.) and orchestration tools (e.g., LangChain, AutoGen) best suited to solution needs. Demonstrate proficiency in vector databases (e.g., FAISS, Pinecone etc.) and the design of RAG (Retrieval-Augmented Generation) pipelines. Stay abreast of advancements in GenAI, multi-agent systems, vector search technologies and large-scale retrieval-augmented architectures. Define and uphold best practices for AI governance, cost optimization and robust performance monitoring. Conduct ongoing performance tuning, debugging and root-cause analysis to ensure reliability of AI models and applications. Design and maintain comprehensive monitoring and logging systems for AI-powered solutions. Collaborate with cross-functional teams including data scientists, ML engineers and software developers to seamlessly integrate AI across the product landscape. Document technical specifications, system workflows and development best practices. Preferred candidate profile Extensive experience in AI implementation incorporating generative models and agentic AI workflows. Solid understanding of machine learning techniques and algorithms. Strong knowledge of data structures, algorithms, and software design principles. Healthcare domain experience is preferred.

Job Title: Senior developer - Artificial Intelligence & Machine Learning Location: Chennai / Bangalore / Pune (Hybrid model - 2 days working from office) Role Summary We are seeking a skilled and hands-on Senior Artificial Intelligence & Machine Learning (AI/ML) Engineer to build and productionize AI solutionsincluding fine-tuning large language models (LLMs), implementing Retrieval-Augmented Generation (RAG) workflows, multi-agent applications and MLOps pipelines. This role focuses on individual technical contribution and requires close collaboration with solution architects, AIML leads, and fellow engineers to translate business use cases into scalable, secure, cloud-native AI services. The ideal candidate will bring deep technical expertise across the AI/ML lifecycle—from prototyping to deployment—while contributing to a culture of engineering excellence through peer reviews, documentation, and platform innovation. They will play a critical role in delivering robust, high-performance AI systems in partnership with the broader AI/ML team. Key Responsibilities Model Development & Optimization Fine-tune foundation models (e.g., GPT-4, Llama 3). Implement prompt engineering and basic parameter-efficient tuning (e.g., LoRA). Conduct model evaluation for quality, bias, and hallucination; analyze results and suggest improvements. RAG & Agentic Systems (Exposure, Not Ownership) Assist in building RAG pipelines: Participate in integrating and embedding generation, vector stores (e.g., FAISS, pgvector), and retrieval/ranking components. Work with multi-agent frameworks (e.g., LangChain, Crew AI) Production Engineering / MLOps Contribute to CI/CD pipelines for model training and deployment (e.g., GitHub Actions, SageMaker Pipelines). Help automate monitoring for latency, drift, and cost; assist in lineage tracking (e.g., MLflow). Containerize services with Docker and assist in orchestration (e.g., Kubernetes/EKS/GKE) Data & Feature Engineering Build and maintain data pipelines for collection, cleansing, and feature generation (e.g., Airflow, Spark). Implement basic data versioning and assist with synthetic data generation as needed Code Quality & Collaboration Participate in design and code reviews. Contribute to testing (unit, integration, guardrail/hallucination tests) and documentation. Share knowledge through sample notebooks and internal sessions Security, Compliance, Performance Follow secure coding and Responsible AI guidelines. Assist in optimizing inference throughput and cost (e.g., quantization, batching) under guidance. Ensure SLAs are met and contribute to system auditability Technology Stack Programming Languages & Frameworks Python (expert) JavaScript/Go/TypeScript (nice-to-have) Strong knowledge of libraries such as Scikit-learn, Pandas, NumPy, XGBoost, LightGBM, TensorFlow, PyTorch. PyTorch, TensorFlow/Keras, Hugging Face Transformers/PEFT, LangChain/LlamaIndex, Ray/PyTorch Lightning, FastAPI/Flask Experience working with RESTful APIs, authentication (OAuth, API keys), and pagination Cloud & DevOps Expertise in one or more cloud vendors like AWS, GCP, Azure Containers (Docker), Orchestration (Kubernetes, EKS/GKE/AKS) MLOps Databases Relational: PostgreSQL, MySQL NoSQL: MongoDB / DynamoDB Vector Stores: FAISS / pgvector / Pinecone / OpenSearch / Milvus / Weaviate RAG Components Document loaders/parsers, text splitters (recursive/semantic), embeddings (OpenAI, Cohere, Vertex AI), hybrid/BM25 retrievers, rerankers (Cross-Encoder) Multi-Agent Frameworks Crew AI / AutoGen / LangGraph / MetaGPT / Haystack Agents, planning & tool-use patterns Testing & Quality Unit/integration testing (pytest), guardrails Qualifications 7–10years total software/ML engineering experience, including 3+years delivering ML models or GenAI systems to production. Proven track record building and optimising RAG or LLMpowered applications at scale Proficiency in Python and ML frameworks (PyTorch, TensorFlow) and in cloudnative deployment (AWS/GCP/Azure). Handson experience with vector databases, embeddings, and prompt engineering. Experience in regulated industries (Fintech, Healthcare, eCommerce) is a plus. Experience with multiagent frameworks (CrewAI, AutoGen, LangGraph). Certifications such as AWS CertifiedMachineLearning Specialty / AzureAIEngineer / GoogleProfessionalMachineLearningEngineer. Bachelor’s degree in Computer Science, Data Science, Engineering or related discipline (Master’s preferred). Soft Skills & Leadership Attributes Ownership mindset: drives features from design through deployment and monitoring. Clear communicator: explains technical tradeoffs to stakeholders, writes concise docs, and updates project artefacts. Collaboration & mentorship: pairs with junior ngineers, shares knowledge in brownbag sessions, gives constructive PR feedback. Continuous learning: tracks latest GenAI research, evaluates new tooling, and proposes incremental improvements.

Job Title: Artificial Intelligence & Machine Learning Tech Lead Location: Chennai (Hybrid model - 2 days working from office) Role Summary We are seeking a seasoned Artificial Intelligence & Machine Learning (AI/ML) Tech Lead to drive the technical design, development, and deployment of AI solutionsincluding fine-tuning foundation models, building agentic applications, and implementing production-grade Retrieval-Augmented Generation (RAG) pipelines. This role requires close collaboration with pre-sales teams, account delivery managers, solution architects, and enterprise clients to define and deliver AI solutions tailored to business needs. The ideal candidate will provide hands-on technical leadership throughout the AI/ML lifecycle—leading proof-of-concept (POC) efforts, conducting solution demos, and overseeing production-grade implementations. They will also mentor engineering teams, enforce best practices, and ensure the successful delivery of AI initiatives Key Responsibilities 1. Lead Technical Delivery & Mentorship Lead and mentor a team of 6–10 engineers; establish coding standards, conduct design and PR reviews, and drive continuous improvement. Foster a culture of knowledge-sharing through KT Sessions, documentation, and best-practice guides. 2. AI/ML Model Development & Optimization Develop, fine-tune, and optimize models using PyTorch, TensorFlow, and modern ML frameworks. Apply prompt engineering and advanced techniques to foundation models (e.g., GPT-4, Claude, Llama). Deliver NLP solutions such as document classification, sentiment analysis, summarization, entity extraction, conversational AI, and generative content/workflow automation. Design and implement RAG workflows leveraging vector databases, smart chunking, ranking, and caching for accurate, grounded responses. Build multi-agent systems for task decomposition, planning, and tool usage in complex environments. 3. MLOps & Productionization Implement MLOps best practices: CI/CD pipelines, model monitoring, feature stores, lineage, and governance. Ensure model reproducibility, drift detection, explainability (SHAP, LIME), and responsible AI practices. Optimize inference throughput/latency and ensure robust rollback strategies. 4. Performance, Security, and Compliance Ensure security, compliance, and performance of AI solutions, adhering to industry standards and regulations. Integrate with external APIs, optimize for cost/latency, and manage observability. 5. Stakeholder Engagement & Roadmapping Translate business objectives into technical designs; communicate risks, metrics, and impact to executives and stakeholders. Produce design diagrams, runbooks, and model cards; lead knowledge-sharing sessions and workshops. Technology Stack Programming Languages & Frameworks Python (expert) JavaScript/Go/TypeScript (nice-to-have) Strong knowledge of libraries such as Scikit-learn, Pandas, NumPy, XGBoost, LightGBM, TensorFlow, PyTorch. PyTorch, TensorFlow/Keras, Hugging Face Transformers/PEFT, LangChain/LlamaIndex, Ray/PyTorch Lightning, FastAPI/Flask Experience working with RESTful APIs, authentication (OAuth, API keys), and pagination Cloud & DevOps Expertise in one or more cloud vendors like AWS, GCP, Azure Containers (Docker), Orchestration (Kubernetes, EKS/GKE/AKS) Infrastructure as Code (nice-tohave) MLOps Experiment Tracking: DVC, Weights & Biases, Neptune, TensorBoard etc Databases Relational: PostgreSQL, MySQL NoSQL: MongoDB / DynamoDB Vector Stores: FAISS / pgvector / Pinecone / OpenSearch / Milvus / Weaviate RAG Components Document loaders/parsers, text splitters (recursive/semantic), embeddings (OpenAI, Cohere, Vertex AI), hybrid/BM25 retrievers, rerankers (Cross-Encoder) Multi-Agent Frameworks Crew AI / AutoGen / LangGraph / MetaGPT / Haystack Agents, planning & tool-use patterns Testing & Quality Unit/integration testing (pytest), guardrails, hallucination tests, behavioral evals Security & Compliance Best Practices & Design Governance Apply industry best practices: Secure AI development, responsible AI, model explainability, bias detection, and privacy-preserving techniques. Champion documentation standards, reusable reference architectures, and model cards. Participate in architecture review boards and provide guidance to ensure consistency and quality across AI initiatives. Leadership & Pre-Sales Experience Proven track record shipping ML products at scale Lead client workshops, technical discovery, and early-stage assessments. Support business development by identifying architectural differentiators and scalable patterns. Qualifications 10–12 years of experience in software engineering/data science, with 4+ years leading AI/ML projects end-to-end. Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Data Science, or related field. Certifications preferred: AWS Certified Machine Learning / Google Professional Machine Learning Engineer / Azure AI Engineer Associate and Kubernetes CKA/CKAD. Experience in regulated industries (Fintech, Healthcare, eCommerce) is a plus. Soft Skills & Leadership Attributes Influential communication: Translate complex ML concepts for non-technical stakeholders; strong presentation & storytelling. Mentorship mindset: Coach, upskill, and inspire cross-functional teams; foster psychological safety. Ownership & bias for action: Deliver POCs, iterate based on feedback, drive solutions to production. Critical thinking & experimentation: Data-driven decision making, hypothesis testing, A/B experimentation. Adaptability: Stay current with rapid advances in GenAI, tooling, and research; evaluate emerging models/services.

Design and deploy autonomous AI agents using LLMs and frameworks like LangChain or AutoGPT. Collaborate on real-world applications, optimize agent workflows, and ensure safe, scalable AI solutions. Strong Python and GenAI experience required.

Job Overview We are seeking a highly skilled and experienced AI/ML, Generative AI Lead to join our prestigious insurance company. The successful candidate will lead a dynamic team of AI/ML professionals, driving the development and implementation of AI and machine learning solutions tailored for the insurance domain. This role is central to our strategy of enhancing operational efficiency, improving customer experience, and pioneering innovative insurance products. Key Responsibilities Leadership and Team Management: Lead, mentor, and manage a team of AI/ML engineers and data scientists, fostering a collaborative and high-performance culture. Strategy Development: Develop and implement AI/ML strategies aligned with the company's business goals and objectives. AI/ML Solutions: Design, develop, and deploy AI and machine learning models to solve complex problems in underwriting, claims processing, fraud detection, customer service, and personalized marketing. Generative AI: Explore and implement generative AI techniques to create novel solutions for product development, risk assessment, and customer engagement. Data Management: Oversee the collection, preprocessing, and analysis of large datasets to ensure data quality and integrity. Stakeholder Collaboration: Work closely with cross-functional teams, including product managers, actuaries, and IT departments, to ensure successful integration and adoption of AI/ML solutions. Research and Innovation: Stay updated with the latest advancements in AI/ML and generative AI, and drive continuous innovation within the team. Compliance and Ethics: Ensure all AI/ML solutions comply with industry regulations and ethical standards. Performance Monitoring: Implement monitoring and evaluation frameworks to assess the impact and performance of AI/ML models. Innovation & POC Development Lead the development and execution of innovative analytics solutions and Proof-of-Concept (POC) projects. Collaborate with cross-functional teams to identify impactful use cases and prototype solutions. Business Alignment & Outcome Metrics Work with business stakeholders to establish success metrics and key performance indicators (KPIs) for analytics initiatives. Ensure analytics solutions align with strategic business objectives and regulatory requirements. POC Adoption & Change Management Promote the transition of successful POCs into production environments. Develop and implement change management strategies to secure stakeholder support and ongoing usage. Technical Leadership & Team Oversight Provide technical guidance and mentorship to data scientists and analysts. Review and approve analytical models, code, and methodologies to ensure their robustness and scalability. Strategic Research & Future Tech Exploration Stay informed about emerging technologies in AI/ML, GenAI, and other relevant future tech for the insurance industry. Conduct strategic research and feasibility studies to evaluate potential applications and business impact. Qualifications Education: Masters in Computer Science, Data Science, Machine Learning, or a related field. Experience: Minimum of 5 years of experience in AI/ML, with at least 3 years in a leadership role. Technical Skills: Proficiency in programming languages such as Python, R, and Java; experience with AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Cloud Tech : Azure, GCP ,AWS . Preferable is Azure Domain Knowledge: Expertise in the insurance domain, with a strong understanding of industry-specific challenges and opportunities. Analytical Skills: Strong problem-solving skills with the ability to analyze complex data and generate actionable insights. Communication Skills: Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders. Project Management: Demonstrated experience in managing large-scale AI/ML projects from conception to deployment. Innovation: Proven track record of driving innovation and staying abreast of emerging technologies in AI/ML and generative AI.

Roles and Responsibilities : Design, develop, test, and deploy AI models using Python and other relevant technologies. Collaborate with cross-functional teams to integrate AI solutions into existing systems. Troubleshoot issues with AI models and implement improvements for better performance. Stay up-to-date with industry trends and advancements in artificial intelligence. Job Requirements : 5-15 years of experience in Artificial Intelligence Engineering or related field. Strong proficiency in programming languages such as Python. Experience working on large-scale data processing projects involving machine learning algorithms.

Key Responsibilities: Machine Learning (ML): Design, build, and deploy ML pipelines for structured and unstructured data. Conduct feature engineering, model selection, and hyperparameter tuning. Evaluate model performance using industry-standard metrics and improve accuracy. Collaborate with data engineering teams to ensure clean and accessible data for model training. Apply supervised, unsupervised, and reinforcement learning techniques as per use case. Natural Language Processing (NLP): Develop NLP pipelines for text classification, sentiment analysis, entity recognition, summarization, etc. Leverage libraries like spaCy, NLTK, Hugging Face Transformers, and Gensim. Preprocess and tokenize large corpora using advanced NLP methods. Implement solutions for multi-lingual, domain-specific text data challenges. Integrate NLP services with applications or workflows. Large Language Models (LLM): Fine-tune and deploy LLMs (e.g., GPT, LLaMA, BERT, Falcon, Mistral) on custom datasets. Use prompt engineering and retrieval augmented generation (RAG) to build intelligent systems. Optimize inference performance and latency for production-level deployment. Stay updated with the latest in GenAI, foundation models, and transformer architectures. Work on use cases like chatbots, question answering, summarization, content generation, and semantic search.

About The Company: ARA's client TechGlobal (pseudonym) is a global leader in strategy, technology consulting and digital services, enabling clients in more than 100+ countries to implement cutting edge solutions in their transformation journey. TechGlobal helps businesses become digital-first and digital-ready. The company has a global presence with 600000+ employees ( 200000+ in India). India is a focus for them with their Development Centres presence in over 10 locations across Tier 1 and Tier 2 cities. They are recognised for their people first and employee oriented policies. Along with offering hybrid work options, a Pan India presence gives flexible location options to employees. The Role: We are looking for a skilled AI/ML Engineer to join our team and lead the design, development, and deployment of AI-powered applications and systems. You will work with state-of-the-art technologies, including generative AI, deep learning, and Large Language Models (LLMs), and play a key role in building scalable, production-ready solutions using cloud or on-premise platforms. Key Responsibilities: Serve as a Subject Matter Expert (SME) in AI/ML with a strong focus on Large Language Models. Lead and mentor a team of engineers; guide team decisions and performance. Drive design and implementation of scalable, production-grade AI systems. Collaborate with cross-functional teams to integrate AI capabilities into larger application ecosystems. Provide technical leadership across projects and teams. Evaluate and optimize existing AI systems for performance, accuracy, and reliability. Research and apply cutting-edge AI technologies, including GenAI, deep learning, neural networks, chatbots, and image processing. Skills Required: Must-Have Skills Expertise in Large Language Models (LLMs) and their application in real-world solutions. Strong programming skills in Python and experience with ML frameworks like TensorFlow or PyTorch. Proficiency in deploying AI applications using cloud platforms (AWS, Azure, Google Cloud). In-depth knowledge of Natural Language Processing (NLP) and related tools. Solid understanding of end-to-end AI/ML pipelines, including data processing, model training, evaluation, and deployment. Good to Have Experience with chatbots, image processing, and neural network architectures. Familiarity with containerization (Docker, Kubernetes) for scalable deployment. Qualifications & Experience: Minimum of 5 years of hands-on experience in AI/ML, with at least 3 years working specifically on LLMs or generative AI. Proven track record of building and deploying AI models in production environments. Bachelor's or Master's degree in Computer Science, Engineering, or a related field (15 years of full-time education is mandatory).