118 Hugging Face Jobs - Page 3

As an AI & Data Science Engineer Fresher at Twite AI Technologies, you will have the opportunity to work in the vibrant city of Chennai, either in a hybrid or on-site capacity. Twite AI Technologies is a rapidly expanding AI-powered solutions provider that collaborates with leading multinational corporations in India and globally. Our focus lies in developing cutting-edge AI bots and automation tools, leveraging Natural Language Processing, Machine Learning, and Deep Learning technologies. In this role, you will be an integral part of our team, contributing to the creation, training, and deployment of intelligent bots tailored for various industries. Your responsibilities will include assisting in the development of AI-powered chatbots and automation tools, working on data preprocessing, model training, and performance optimization, collaborating with senior AI engineers on scalable ML/NLP solutions, implementing AI algorithms for bot logic, and testing and debugging bots for real-world applications. To qualify for this position, you should hold a degree in B.E./B.Tech./M.E./M.Tech./M.Sc in CSE, IT, AI, Data Science, or related fields, with a preference for 2024 or 2025 pass-outs. Proficiency in Python, ML algorithms, and basic NLP concepts is essential, and any academic or project experience in AI/ML would be advantageous. Strong analytical thinking skills and a keen interest in learning about cutting-edge AI tools are highly valued. Desirable skills include knowledge of tools such as TensorFlow, PyTorch, OpenAI, Hugging Face, familiarity with chatbot frameworks or LLMs like Rasa, Langchain, OpenAI GPT, and basic understanding of REST APIs, version control (Git), and cloud platforms. At Twite AI Technologies, we offer you exposure to real-world AI projects and product development, mentorship from industry experts, an innovative and fast-paced work environment, and the chance to contribute to impactful AI products. This is a full-time position with benefits including health insurance and Provident Fund, based in Chennai, with an expected start date of 21/07/2025. Join us at Twite AI Technologies and be part of our dynamic team driving the future of AI innovation!,

You are a dynamic and hands-on Full Stack AI Developer with expertise in Python programming, Generative AI, LLMs, API development, and front-end frameworks like React and Streamlit. Your responsibility includes designing, developing, and maintaining AI-powered full stack applications, building and optimizing REST APIs, creating backend services, implementing Generative AI features, developing front-ends, integrating retrieval-augmented generation (RAG) and agentic AI concepts, applying best practices in software engineering, and working with cloud platforms. You must have proficiency in Core Python Development, scientific & data libraries like NumPy and Pandas, database integration, API development, Generative AI/LLMs, deployment & containerization using Docker, frontend development with HTML5, CSS3, modern JavaScript, Streamlit, and React.js. Desirable skills include experience with cloud services, monitoring and logging for AI systems, testing frameworks, PDF extraction, OCR tools, frontend accessibility, and performance optimization. Your soft skills should include strong communication and documentation skills, problem-solving mindset, and the ability to collaborate across cross-functional teams. An educational qualification of Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field is required, and certifications or hands-on experience in Generative AI/LLMs are a plus. This role is ideal for candidates passionate about developing end-to-end AI applications from data ingestion and model integration to real-time deployment and UI/UX delivery. You will work on real-world GenAI products using LLMs, APIs, Vector Databases, and modern front-end stacks in a production-ready setup.,

As a Data Scientist specializing in AI/ML & GenAI, you will be responsible for utilizing your expertise in machine learning, deep learning, NLP, and generative AI (LLMs) to develop, deploy, and maintain end-to-end AI solutions. Your role will involve collaborating closely with both business and technical teams to drive data-informed decisions and optimize business outcomes. Your key responsibilities will include extracting, processing, and validating both structured and unstructured data, as well as building and deploying ML/DL models, including LLMs and GenAI applications. You will be expected to develop scalable and reproducible model training and deployment pipelines, translate business problems into analytical solutions, and design data visualizations and dashboards for clear insight delivery. Collaboration with engineering, product, and design teams, as well as the implementation of agile practices for timely delivery of data products, will also be crucial aspects of your role. Additionally, you will be responsible for ensuring model performance, scalability, and adaptability. To excel in this role, you should have experience with ML/DL frameworks such as scikit-learn, TensorFlow, PyTorch, and Hugging Face. Proficiency in GenAI, specifically LLMs and generative AI frameworks, as well as expertise in NLP tasks like text classification, summarization, and language modeling, will be essential. Familiarity with tools like Git, Docker, APIs, and cloud platforms (AWS/GCP/Azure) is also required. Furthermore, soft skills such as analytical thinking, business intuition, storytelling, and cross-team communication will be beneficial in this position. If you are a candidate with a notice period of a maximum of 1 month or available for immediate joining, we encourage you to apply for this full-time position. Please note that the work location is in person.,

As a Data Scientist at Objectways located in Chennai, you will have the opportunity to be part of a team that is driving AI innovation and solving real-world problems by leveraging cutting-edge machine learning and reasoning technologies. Our projects are ambitious and diverse, ranging from agent trajectory prediction to complex reasoning systems, multimodal intelligence, and preference-based learning. We are looking for a talented individual like you who is eager to explore the boundaries of applied AI. In this role, you will be responsible for designing and developing machine learning models for both structured and unstructured data. You will work on agent trajectory prediction, complex reasoning, preference ranking, and reinforcement learning. Additionally, you will handle multimodal datasets and develop reasoning pipelines across text, image, and audio modalities. Your responsibilities will also include validating and optimizing prompts for large language model performance and translating research into scalable, production-level implementations. Collaboration with cross-functional teams such as Engineering, Product, and Research is essential to ensure the success of our projects. To qualify for this position, you should have a minimum of 4 years of hands-on experience in Data Science or Machine Learning roles. Proficiency in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools is required. You should also demonstrate expertise in at least one of the following areas: trajectory modeling, preference ranking, or multimodal systems. Experience with LLM prompt engineering, complex reasoning algorithms, graph-based methods, and causal inference is highly beneficial. Strong problem-solving, analytical thinking, and communication skills are essential for success in this role. Preferred skills for this position include familiarity with tools like LangChain, Hugging Face, or OpenAI APIs, exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning, and experience with deploying ML models in production environments using technologies such as Docker and MLflow. By joining Objectways, you will have the opportunity to work on high-impact, next-generation AI challenges, collaborate with top talent from various domains, and enjoy a competitive salary with benefits and a learning budget.,

You should have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. You must possess solid experience in developing and implementing generative AI models, with a deep understanding of techniques like GPT, VAE, and GANs. Proficiency in Python and experience with machine learning libraries like TensorFlow, PyTorch, or Keras is required. Strong knowledge of data structures, algorithms, and software engineering principles is essential. Familiarity with cloud-based platforms such as AWS, GCP, or Azure is expected. Experience with natural language processing (NLP) techniques and tools like SpaCy, NLTK, or Hugging Face is necessary. Knowledge of data visualization tools and libraries such as Matplotlib, Seaborn, or Plotly is preferred. Understanding of software development methodologies like Agile or Scrum is important. Excellent problem-solving skills are a must, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills are required to effectively convey complex technical concepts to a diverse audience. A proactive mindset is essential, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.,

You will be a Senior MERN Full Stack Developer with expertise in AI Prompt Engineering. Your role will involve developing scalable web applications using the MERN stack and implementing advanced AI functionalities using models like GPT and BERT. Your responsibilities will include building and managing web applications utilizing MongoDB/PostgreSQL/MySQL, Express.js, React.js, and Node.js, designing and implementing RESTful APIs and WebSocket connections, creating AI-driven features with GPT, BERT, and prompt engineering, collaborating with diverse teams, and guiding junior developers. Additionally, you will be involved in sprint planning, project scoping, and ensuring timely delivery of features. To excel in this role, you must have extensive experience with the MERN stack, be skilled in JavaScript/TypeScript and async programming, possess knowledge of GPT, BERT, and AI model integration, be familiar with OpenAI API, Hugging Face, TensorFlow, or PyTorch, understand both NoSQL and relational databases, and exhibit strong communication, leadership, and problem-solving abilities. In return, you can expect a competitive salary and benefits, the opportunity to work on cutting-edge AI-integrated products, chances for leadership roles and career development, and a collaborative team environment. If you are ready to contribute to innovative full-stack + AI solutions, this position offers a full-time, permanent employment with benefits such as health insurance, internet reimbursement, paid time off, and provident fund. The work schedule includes day and morning shifts at the physical location in Bangalore.,

The Implementation Technical Architect role focuses on designing, developing, and deploying cutting-edge Generative AI (GenAI) solutions using the latest Large Language Models (LLMs) and frameworks. Your responsibilities include creating scalable and modular architecture for GenAI applications, leading Python development for GenAI applications, building tools for automated data curation, integrating solutions with cloud platforms like Azure, GCP, and AWS, applying advanced fine-tuning techniques to optimize LLM performance, establishing LLMOps pipelines, ensuring ethical AI practices, implementing Reinforcement Learning with Human Feedback and Retrieval-Augmented Generation techniques, collaborating with front-end developers, and more. Key Responsibilities: - Design and Architecture: Create scalable and modular architecture for GenAI applications using frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. - Python Development: Lead the development of Python-based GenAI applications, ensuring high-quality, maintainable, and efficient code. - Data Curation Automation: Build tools and pipelines for automated data curation, preprocessing, and augmentation to support LLM training and fine-tuning. - Cloud Integration: Design and implement solutions leveraging Azure, GCP, and AWS LLM ecosystems, ensuring seamless integration with existing cloud infrastructure. - Fine-Tuning Expertise: Apply advanced fine-tuning techniques such as PEFT, QLoRA, and LoRA to optimize LLM performance for specific use cases. - LLMOps Implementation: Establish and manage LLMOps pipelines for continuous integration, deployment, and monitoring of LLM-based applications. - Responsible AI: Ensure ethical AI practices by implementing Responsible AI principles, including fairness, transparency, and accountability. - RLHF and RAG: Implement Reinforcement Learning with Human Feedback (RLHF) and Retrieval-Augmented Generation (RAG) techniques to enhance model performance. - Modular RAG Design: Develop and optimize Modular RAG architectures for complex GenAI applications. - Open Source Collaboration: Leverage Hugging Face and other open-source platforms for model development, fine-tuning, and deployment. - Front-End Integration: Collaborate with front-end developers to integrate GenAI capabilities into user-friendly interfaces. Required Skills: - Python Programming: Deep expertise in Python for building GenAI applications and automation tools. - LLM Frameworks: Proficiency in frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. - Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. - Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models. - Fine-tune SLM(Small Language Model) for domain specific data and use cases. - Prompt injection fallback and RCE tools such as Pyrit and HAX toolkit etc. - Anti-hallucination and anti-gibberish tools such as Bleu etc. - Cloud Platforms: Extensive experience with Azure, GCP, and AWS LLM ecosystems and APIs. - Fine-Tuning Techniques: Mastery of PEFT, QLoRA, LoRA, and other fine-tuning methods. - LLMOps: Strong knowledge of LLMOps practices for model deployment, monitoring, and management. - Responsible AI: Expertise in implementing ethical AI practices and ensuring compliance with regulations. - RLHF and RAG: Advanced skills in Reinforcement Learning with Human Feedback and Retrieval-Augmented Generation. - Modular RAG: Deep understanding of Modular RAG architectures and their implementation. - Hugging Face: Proficiency in using Hugging Face and similar open-source platforms for model development. - Front-End Integration: Knowledge of front-end technologies to enable seamless integration of GenAI capabilities. - SDLC and DevSecOps: Strong understanding of secure software development lifecycle and DevSecOps practices for LLMs.,

As a Senior QA Engineer at our company, you will be leading quality assurance for Generative AI (GenAI) solutions within our Digital Twin platform. Your role will involve focusing on the evaluation, reliability, and guardrails of AI-powered systems in production, going beyond traditional QA practices. Your responsibilities will include designing and implementing end-to-end QA strategies for applications using Node.js integrated with LLMs, RAG, and Agentic AI workflows. You will establish benchmarks and quality metrics for GenAI components, develop evaluation datasheets for LLM behavior validation, and conduct data quality testing for RAG databases. Additionally, you will perform A/B testing, define testing methodologies, collaborate with developers and AI engineers, build QA automation, and lead internal capability development by mentoring QA peers on GenAI testing practices. To be successful in this role, you should have at least 6 years of experience in software quality assurance, with a minimum of 3 years of experience in GenAI or LLM-based systems. You should possess a deep understanding of GenAI quality dimensions, experience in creating and maintaining LLM evaluation datasets, and familiarity with testing retrieval pipelines and RAG architectures. Preferred skills include experience with GenAI tools/platforms, exposure to evaluating LLMs in production settings, familiarity with prompt tuning and few-shot learning in LLMs, and basic scripting knowledge in Python, JavaScript, or TypeScript. If you are a passionate and forward-thinking QA Engineer with a structured QA discipline, hands-on experience in GenAI systems, and a strong sense of ownership, we encourage you to apply for this high-impact role within our innovative team.,

Job Description: As a Senior MERN Full Stack Developer with expertise in AI Prompt Engineering, you will be responsible for developing scalable web applications using the MERN stack. Your role will involve integrating advanced AI features utilizing models such as GPT and BERT. You will collaborate with cross-functional teams, mentor junior developers, and contribute to the development of AI-driven features. Key Responsibilities: - Building and maintaining web applications using MongoDB/PostgreSQL/MySQL, Express.js, React.js, and Node.js. - Designing and developing RESTful APIs and WebSocket connections. - Creating AI-driven features leveraging GPT, BERT, and prompt engineering techniques. - Collaborating with teams and providing mentorship to junior developers. - Participating in sprint planning, project scoping, and ensuring timely feature delivery. Requirements: - Proficiency in the MERN stack with hands-on experience. - Strong knowledge of JavaScript/TypeScript and async programming. - Experience in working with GPT, BERT, and integrating AI models. - Familiarity with OpenAI API, Hugging Face, TensorFlow, or PyTorch. - Understanding of both NoSQL and relational databases. - Excellent communication, leadership, and problem-solving skills. What You'll Get: - Competitive salary and benefits package. - Opportunity to work on cutting-edge AI-integrated products. - Potential for leadership roles and career advancement. - Engaging and collaborative team environment. Job Types: Full-time, Permanent Benefits: - Health insurance. - Internet reimbursement. - Paid time off. - Provident Fund. Schedule: - Day shift. - Morning shift. Work Location: In person.,

You are looking for a visionary Data Science Manager with expertise in Generative AI and Retrieval-Augmented Generation (RAG) to lead AI initiatives from both technical and business perspectives. In this role, you will lead a team of data scientists and ML engineers, design Generative AI models, develop statistical models, and integrate knowledge retrieval systems to enhance performance. Your responsibilities will include mentoring the team, designing scalable AI/ML solutions, implementing Generative AI models, and developing statistical models for forecasting and segmentation. You will also be responsible for integrating databases and retrieval systems, ensuring operational excellence in MLOps, and collaborating with various teams to identify high-impact use cases for GenAI. To qualify for this role, you should have a Masters in Computer Science or related fields, 10+ years of data science experience with 2+ years in GenAI initiatives, proficiency in Python and key libraries, and a strong foundation in statistical analysis and predictive modeling. Experience in cloud platforms, vector databases, and MLOps is essential, along with a background in sectors like legal tech, fintech, retail, or health tech. If you have a proven track record in building and deploying LLMs, RAG systems, and search solutions, along with a knack for influencing product roadmaps and executive strategy, this role is perfect for you. Your ability to translate complex AI concepts into actionable strategies and present findings to non-technical audiences will be crucial in driving AI/ML adoption and contributing to the company's innovation roadmap.,

As a Full Stack AI Developer, you will be responsible for designing, developing, and maintaining AI-powered full stack applications. Your key responsibilities will include building and optimizing REST APIs using FastAPI/Flask, integrating advanced LLM capabilities, creating backend services, implementing Generative AI features, developing front-end interfaces with Streamlit or React, and applying best practices in software engineering. You will also work with cloud platforms like AWS, Azure, and GCP to monitor AI systems in production environments. Required Technical Skills: Core Python Development: Proficiency in Python 3, including syntax, control flow, data structures, functions, error handling, file I/O, modules, decorators, list/dict comprehensions, and exception management. Scientific & Data Libraries: NumPy for array operations, broadcasting; Pandas for data manipulation, aggregation, data cleaning; Database Integration with SQL, SQLite, MongoDB, Postgres, vector DBs (Chroma, PGVector, FIZZ). API Development: RESTful API design with FastAPI or Flask, async/await, dependency injection, request validation, JWT/OAuth2 auth, vector DB integration, and streaming LLM responses. Generative AI / LLMs: Understanding of Transformer architectures, LLMs (GPT, BERT, LLaMA), LangChain, LlamaIndex, Hugging Face Transformers, prompt engineering, parameter tuning, RAG, and agent-based workflows. Deployment & Containerization: Proficiency in Docker, Dockerfiles, Docker Compose, CI/CD pipelines, GitHub Actions, and deploying containerized services. Frontend Development: HTML5, CSS3, modern JavaScript (ES6+), Streamlit, React.js (with TypeScript), building conversational UIs, integrating streaming outputs via WebSockets/SSE. Desirable Skills: Experience with cloud services (AWS, Azure, GCP), monitoring and logging for AI systems, testing frameworks like pytest, httpx, React Testing Library, PDF extraction, OCR tools, frontend accessibility, and performance optimization. Soft Skills: Strong communication and documentation skills, problem-solving mindset, ability to collaborate across cross-functional teams. Educational Qualification: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field. Certifications or hands-on experience in Generative AI/LLMs is a plus. In summary, this role is ideal for individuals passionate about developing end-to-end AI applications using GenAI products, LLMs, APIs, Vector Databases, and modern front-end stacks in a production-ready environment.,

You are a highly experienced Senior Python & AI Engineer who will be responsible for leading the development of cutting-edge AI/ML solutions. Your role will involve architecting solutions, driving technical strategy, mentoring team members, and ensuring timely delivery of key projects. As a Technical Leader, you will architect, design, and implement scalable AI/ML systems and backend services using Python. You will also oversee the design and development of machine learning pipelines, APIs, and model deployment workflows. Your responsibilities will include reviewing code, establishing best practices, and driving technical quality across the team. In terms of Team Management, you will lead a team of data scientists, ML engineers, and Python developers. Providing mentorship, coaching, and performance evaluations will be vital. You will facilitate sprint planning, daily stand-ups, and retrospectives using Agile/Scrum practices. Additionally, coordinating with cross-functional teams such as product, QA, DevOps, and UI/UX will be necessary to deliver features on time. Your focus on AI/ML Development will involve developing and fine-tuning models for NLP, computer vision, or structured data analysis based on project requirements. Optimizing model performance and inference using frameworks like PyTorch, TensorFlow, or Hugging Face will be part of your responsibilities. Implementing model monitoring, drift detection, and retraining strategies will also be crucial. Project & Stakeholder Management will require you to work closely with product managers to translate business requirements into technical deliverables. You will own the end-to-end delivery of features, ensuring they meet performance and reliability goals. Providing timely updates to leadership and managing client communication if necessary will also be part of your role. Your Required Skills & Experience include a minimum of 5 years of professional experience with Python and at least 2 years working on AI/ML projects. You should have a strong understanding of ML/DL concepts, algorithms, and data preprocessing. Experience with frameworks like PyTorch, TensorFlow, scikit-learn, FastAPI/Django/Flask, deployment tools like Docker, Kubernetes, MLflow, and cloud platforms such as AWS/GCP/Azure is essential. In terms of leadership, you should have at least 3 years of experience in leading engineering or AI teams, along with excellent planning, estimation, and people management skills. Strong communication and collaboration skills are also required. Preferred Qualifications for this role include a Masters or PhD in Computer Science, Data Science, AI/ML, or related fields, exposure to MLOps practices, experience with RAG, LLMs, transformers, or vector databases, and prior experience in fast-paced startup or product environments. In return, you will have the opportunity to lead cutting-edge AI initiatives, encounter task variety and challenging opportunities, benefit from high autonomy, a flat hierarchy, and fast decision-making, as well as receive competitive compensation and performance-based incentives.,

As an AI Developer, you will be responsible for designing and developing AI/ML models focused on natural language understanding, intelligent automation, and real-time decision-making utilizing NLP, LLMs, and RAG techniques. Your role will involve collaborating with cross-functional teams to seamlessly integrate AI models into platforms, ensuring scalability, accuracy, and efficiency. Additionally, you will support training and development programs across various locations in India, including client sites, academic institutions, and partner locations. Your responsibilities will include the continuous testing, refinement, and documentation of AI systems using tools such as Python, TensorFlow, Hugging Face, and cloud services. You will also be expected to engage in knowledge sharing activities, conduct technical workshops, and deliver on-site demos to promote AI solutions and drive adoption. This is a full-time position with benefits including cell phone reimbursement, provided meals, health insurance, paid sick time, and Provident Fund. The work schedule is during day shift hours. The ideal candidate should hold a Bachelor's degree and have a total of 1 year of experience, with specific experience as an AI Developer preferred. The work location for this role is in person. Join us in this exciting opportunity to contribute to cutting-edge AI projects and make a meaningful impact in the field of artificial intelligence.,

What will you do AI Strategy & Roadmap: Define the AI roadmap aligned with business goals and emerging tech trends. Model Development & Optimization: Architect, train, and fine-tune AI/ML models, including LLMs, GANs, and deep learning frameworks (TensorFlow, PyTorch, JAX, etc.). Scalability & Performance: Optimize AI pipelines for performance, efficiency, and scalability in production environments. Team Leadership: Lead, mentor, and scale a team of AI engineers and researchers. Cross-functional Collaboration: Work closely with engineering, product, and customer teams to integrate AI into SaaS products. Data Strategy: Build robust data pipelines and ensure high-quality, annotated datasets for training and validation. AI Innovation: Keep Spyne at the forefront of AI by exploring new techniques in computer vision, NLP, and GenAI. Stakeholder Management: Communicate AI strategy, progress, and impact effectively to leadership and investors. What will make you successful in this role Technical Expertise: Strong experience in computer vision, deep learning (CNNs, GANs, transformers), and Generative AI. Programming Proficiency: Expertise in Python, TensorFlow, PyTorch, OpenCV, and AI/ML deployment frameworks. Scalability & Cloud AI : Experience deploying AI models at scale using AWS, Azure, or GCP. Team Management: Proven ability to lead and scale AI teams, drive technical excellence, and mentor engineers. Problem-Solving Mindset: Ability to break down complex problems and deliver AI solutions with real business impact. Stakeholder Management: Strong collaboration skills with product and business teams to drive AI adoption. What you must have 7+ years of experience in AI/ML, with at least 3 years in a leadership role. Expertise in LLMs, Generative AI, Computer Vision, NLP, and Deep Learning . Strong proficiency in AI frameworks like TensorFlow, PyTorch, JAX, and Hugging Face. Experience deploying AI models in cloud environments (AWS, GCP, Azure) . Proven track record of building scalable AI solutions in a SaaS startup or enterprise environment. Hands-on experience with data pipelines, MLOps, and AI model optimization . Strong coding skills in Python, C++, or Java . Excellent team management and stakeholder communication skills.

Core Responsibilities Model development Build and fine-tune image classification, detection, segmentation, OCR, and cross-modal retrieval pipelines in PyTorch or TensorFlow. Vision-language research transfer Re-implement recent conference papers; run ablation studies; compare checkpoints on COCO, LVIS, and internal datasets. Training and evaluation Write efficient trainers, manage experiment tracking (Weights & Biases / MLflow), and track metrics such as mAP, BLEU, CIDEr. Deployment Package models for REST and on-device endpoints (TorchScript, TensorRT); measure latency, memory, and accuracy. Code quality & collaboration Maintain clean repositories, contribute to design reviews, and present findings to non-AI colleagues and clients. Ethics & security Flag dataset bias, ensure privacy compliance, and document model limitations. Minimum Requirements Area Expectation Education B.Tech / M.Tech in CS, or related field. Python expertise 3+ years building deep-learning pipelines; solid OOP and unit testing. Frameworks PyTorch (preferred) or TensorFlow; OpenCV; experience with Hugging Face or similar libraries. Vision-language Hands-on with at least one of CLIP, BLIP, Segment-Anything, Detic, LLaVA, or similar. Tools Git, Docker, Linux, CUDA; basic CI/CD. Soft skills Clear written and spoken English; able to translate technical results into client-friendly summaries.

About the Role We are hiring a Product Growth Manager to lead initiatives at the intersection of retail, AI, and product execution. This role requires someone who can conceptualize and build AI-native features, scale them effectively, and drive adoption through experimentation, data insights, and structured execution. You will work closely with engineering, machine learning, product, and business teams to deliver AI-powered capabilities that solve real-world retail challenges. The ideal candidate has strong technical foundations, sharp product instincts, and a proven ability to operate with speed and ownership in high-growth environments. What will you do at Fynd Build and launch AI-native product features in collaboration with ML and engineering teams. Drive product-led growth initiatives focused on activation, retention, and adoption. Translate AI/ML capabilities into scalable and intuitive product experiences. Work hands-on with model deployments, inference systems, and API integrations. Own end-to-end product executionfrom problem discovery to roadmap delivery and post-launch iteration. Contribute to platform strategies that scale AI features from MVPs to production-grade adoption. Understand and influence product flows specific to retail, catalog systems, and commerce automation. Some Specific Requirements: AI and Technical Foundations Strong grasp of LLMs, embeddings, vector databases, RAG, and fine-tuning methods like LoRA and QLoRA. Hands-on experience with OpenAI, Hugging Face, LangChain, LlamaIndex, and production-grade AI tooling. Familiar with AI workflows using FastAPI, Docker, MLflow, and model serving via Ray or TorchServe. Comfortable working with GitHub, Git, and tools for managing models, code, and experiments. Good understanding of microservices, API design (REST/GraphQL), and scalable backend systems. Experienced in CI/CD setup for training and deploying ML models to production. Data and Analytics Proficient in SQL, BigQuery, and Looker Studio for data exploration and dashboards. Able to design KPIs, success metrics, and user journey insights for product analytics. Knowledge of tools like dbt, Airflow, and event-based platforms like PostHog or Mixpanel. Experience with A/B testing, funnel analysis, and behavioral cohort tracking. Retail and Product Execution Solid understanding of retail workflows, product catalogs, and commerce ecosystems. Experience building and scaling digital products with real-world user adoption. Strong product judgment and ability to balance business, user, and technical priorities. Stakeholder Management and Execution Leadership Ability to lead and influence cross-functional teams to drive high-quality execution. Strong communication skills to present AI-driven concepts to both technical and non-technical audiences. Experience with Agile methodologies and tools such as Jira, Confluence, and Asana for planning and tracking. Preferred Experience 2 to 5 years in product, growth, or AI-focused roles. Experience in building and scaling AI-powered or technology-driven platforms. Exposure to retail, e-commerce, or SaaS environments. Track record of delivering outcomes in fast-paced, cross-functional teams. Why Join Us Be part of a team shaping the future of AI-native platforms in digital commerce. Work closely with leading AI engineers, product teams, and business stakeholders. Own and execute high-impact initiatives with autonomy and accountability. Operate in a culture that values speed, clarity, and innovation. If you're someone who thrives on execution, loves solving complex problems, and wants to build the future of AI-native platforms, we'd love to have you on board

As a Machine Learning Engineer at Tecblic, you will be part of a forward-thinking team that specializes in delivering AI-driven solutions to empower businesses in the digital age. If you are passionate about Large Language Models (LLMs), machine learning, and pushing the boundaries of Agentic AI, we invite you to join us on our innovative journey. Your primary responsibilities will include researching, designing, and fine-tuning machine learning models, with a specific focus on LLMs and Agentic AI systems. You will collaborate with software engineers and product teams to integrate AI models into customer-facing applications, perform data preprocessing and exploratory data analysis, and design robust model deployment pipelines. Additionally, you will prototype innovative solutions using cutting-edge techniques like reinforcement learning and generative AI, while also providing technical mentorship to junior team members. To excel in this role, you should have proficiency in Python for machine learning tasks, expertise in ML frameworks like PyTorch and TensorFlow, and a solid understanding of LLMs such as GPT and BERT. Experience with NLP tasks, deep learning architectures, and data manipulation tools is essential. Familiarity with cloud services, deployment tools, and additional skills like Agentic AI exposure and MLOps tools would be advantageous. In addition to technical skills, you should possess a strong analytical and mathematical background, solid understanding of algorithms and data structures, and the ability to handle large datasets using distributed frameworks. Soft skills such as problem-solving, communication, and collaboration are also crucial for success in this role. If you are a self-motivated individual with excellent critical-thinking abilities and a continuous learning mindset, we look forward to having you contribute to our team at Tecblic.,

About us Bain & Company is a global management consulting firm that assists the world's most ambitious change makers in defining the future. With offices in 65 locations across 40 countries, we collaborate with our clients as a unified team, striving to achieve extraordinary results, surpass the competition, and reshape industries. Since our establishment in 1973, we have gauged our prosperity by the achievements of our clients and uphold the highest level of client advocacy in the industry. In 2004, we inaugurated our presence in the Indian market by launching the Bain Capability Center (BCC) in New Delhi, which is now recognized as BCN (Bain Capability Network) with nodes spread across various geographies. BCN serves as a core and largest unit of Expert Client Delivery (ECD), playing a vital role in enhancing Bain's case teams globally by providing analytics and research solutions in all industries, specific domains for corporate cases, client development, private equity diligence, or Bain intellectual property. The BCN encompasses Consulting Services, Knowledge Services, and Shared Services. Who you will work with Bain & Company stands as the foremost consulting partner to the private equity industry and its stakeholders. The Private Equity Group (PEG) at Bain offers comprehensive advisory services to investors throughout the entire investment lifecycle, including pre-investment strategy, due diligence, post-acquisition value creation, and portfolio management. The PEG Innovation Team (PIT) is a specialized division devoted to supporting the private equity sector and its stakeholders. An essential focus area involves harnessing Generative AI to develop innovative solutions that streamline due diligence, automate processes, and enable data-driven decision-making. By integrating expertise in due diligence, operational enhancement, and cutting-edge technologies like Generative AI, PIT empowers private equity clients to achieve superior returns and maintain a competitive edge in the market. What you'll do This role presents an opportunity to be part of the BCN Data business expanding science capability area within the PIT (PEG Innovation Team). Product Support: The primary responsibility of the team will be to support the Beta production of AI applications for PEG (Private Equity Group) as part of Bain's DD2030 (Due Diligence 2030) initiative. Generative AI Focus: The role involves a significant focus on Generative AI applications, aiming to push the boundaries of innovation in the private equity domain. Broader Automation: Additionally, the role may entail contributing to broader PIT automation initiatives aimed at streamlining processes and enhancing efficiency across various stages of the investment lifecycle. The person in this role will need to: - Translate business objectives into data and analytics solutions, and translate results into business insights using appropriate data engineering, analytics, visualization & Gen AI applications. - Utilize Gen AI skills to design and create repeatable analytical solutions to enhance data quality. - Build and deploy machine learning models using Scikit-Learn for various predictive analytics tasks. - Implement and fine-tune NLP models with Hugging Face to tackle complex language processing challenges. - Collaborate with engineering team members on design requirements to transform PoC methods into repeatable data pipelines; collaborate with the Practice team to develop scalable products. - Aid in creating and documenting standard operating procedures for recurring data processes, and establish a knowledge base of data methods. - Stay updated on advancements in AI/ML technologies and best practices in data science, particularly in LLMs and generative AI. About you A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, Market Research, or related field is preferred. 3-5 years of experience in data science & data engineering with hands-on experience in AI/GenAI tools such as Scikit-Learn, LangChain, and Hugging Face. Experience in designing and developing RESTful and GraphQL APIs to facilitate data access and integration. Proficiency in data wrangling in either R or Python is mandatory. Proficiency in SQL is essential, and familiarity with NoSQL data stores is a plus. Familiarity with MLOps practices for model lifecycle management. Experience with Git and modern software development workflow is advantageous. Experience with containerization such as Docker/Kubernetes is beneficial. Proficiency with Agile way of working and tools (Jira, Confluence, Miro). Strong interpersonal and communication skills are imperative. Experience with Microsoft Office suite (Word, Excel, PowerPoint, Teams) is preferred. Ability to explain and discuss Gen AI and Data Engineering technicalities to a business audience. What makes us a great place to work We take pride in consistently being acknowledged as one of the world's best places to work, a proponent of diversity, and a model of social responsibility. Currently ranked as the #1 consulting firm on Glassdoor's Best Places to Work list, we have maintained a position in the top four for the past 12 years. We believe that diversity, inclusion, and collaboration are pivotal in constructing exceptional teams. We recruit individuals with exceptional talents, abilities, and potential, fostering an environment where you can realize your full potential and thrive both professionally and personally. Our commitment to diversity and inclusion has been externally recognized by Fortune, Vault, Mogul, Working Mother, Glassdoor, and the Human Rights Campaign.,

Job Summary: We are seeking a visionary and hands-on AI Architect of experience in designing and deploying AI-driven systems, including Generative AI (GenAI), LLM integration, computer vision, and agentic workflows. This role demands deep technical expertise in transformer models, PyTorch, and tools such as Stable Diffusion, ControlNet, and LangChain, as well as a strong grasp of dataset strategy, bias mitigation, and scalable AI system architecture. Experience with e-commerce or fashion datasets is a strong plus. Key Responsibilities: Architect and lead the development of AI/ML systems, with a focus on Generative AI, including diffusion models, GANs, and LLMs. Implement and optimize models such as Stable Diffusion, ControlNet, and OpenPose for real-world use cases in visual content generation. Design LLM-integrated solutions using LangChain, agentic workflows, and multimodal AI systems. Collaborate with cross-functional teams to define dataset strategy, ensuring data relevance, diversity, and quality. Integrate Hugging Face Transformers and PyTorch-based architectures into production environments. Define and implement best practices around bias & fairness, model explainability, and ethical AI design. Lead architectural decisions for scalable AI platforms, focusing on performance, reliability, and continuous learning capabilities. Leverage domain knowledge in e-commerce/fashion for visual understanding, recommendation, or personalization solutions. Qualifications: Experience in AI/ML system architecture, including 3+ years specifically in Generative AI and LLM ecosystems. Proficiency in PyTorch, Transformers, Hugging Face, and LangChain. Deep understanding of diffusion models, GANs, ControlNet, and OpenPose. Experience in designing agentic AI workflows, real-time inference systems, and production-grade AI infrastructure. Proven track record in dataset creation/curation, bias analysis, and fairness optimization. Strong communication skills and the ability to translate complex AI concepts into business impact. Preferred Qualifications : Contributions to open-source AI frameworks or publications in relevant research areas. Understanding of AI observability, versioning, and model governance.

Job Title: Senior Business Analyst AI/Healthcare Product Delivery Location: Remote / Hyderabad (Flexible) Type: Full-time | Immediate Joiner Preferred Role Overview We are seeking a Senior Business Analyst to lead business-side coordination, delivery planning, and stakeholder alignment for a high-impact AI-driven healthcare platform . The ideal candidate will possess a strong foundation in healthtech , AI/ML product ecosystems , and agile delivery practices , with a proven ability to manage both technical and business-facing stakeholders in a fast-paced, evolving environment. Key Responsibilities Act as the primary interface between business stakeholders and the technical team, translating vision into actionable requirements. Develop and maintain clear user stories, functional specs, flow diagrams, and process maps. Coordinate across teams involved in LLMs , RAG pipelines , GPT-based models , vector DBs , and deployment infrastructure (AWS, Hugging Face, Lambda Labs). Drive release planning , sprint reviews , retrospectives , and end-user validation . Monitor delivery progress, identify risks, and proactively resolve blockers. Ensure product decisions are data-driven and clinically validated , where applicable. Coordinate with subject matter experts (SMEs) to gather and structure domain-specific datasets (e.g., CDC , WHO , PubMed , NICE ). Ensure compliance with HIPAA and other relevant data handling protocols. Align product quality and performance expectations through evaluation metrics and testing frameworks . Skills & Qualifications 6–10 years’ experience as a Business Analyst or Product Owner , preferably in healthcare or AI-based platforms . Familiarity with Generative AI , LLMs (GPT, LLaMA), and RAG architecture is a must. Experience working in agile environments with tools like JIRA , Confluence , Notion , Miro . Strong understanding of software development cycles , backend workflows , and cloud infrastructure (e.g., AWS EC2/S3, Hugging Face endpoints). Excellent communication, stakeholder management, and problem-solving skills. Ability to work cross-functionally with data engineers , QA , DevOps , SMEs , and leadership . Preferred (Not Mandatory) Exposure to HIPAA-compliant systems and medical AI tools . Prior experience managing AI model delivery or collaborating with AI/ML engineers . Experience with evaluation metrics , benchmarking , and prompt optimization for LLMs. To Apply Email your resume to: sreemith.kushal@ekshvaku.com Subject line: Application – Senior Business Analyst

Data Scientist (5+ Years of Experience) We are seeking a highly motivated Data Scientist with over 5 years of hands-on experience in data mining, statistical analysis, and developing high-quality machine learning models. The ideal candidate will have a passion for solving real-world problems using data-driven approaches and possess strong technical expertise across various data science domains. Key Responsibilities: Apply advanced data mining techniques and statistical analysis to extract actionable insights. Design, develop, and deploy robust machine learning models to address complex business challenges. Conduct A/B and multivariate experiments to evaluate model performance and optimize outcomes. Monitor, analyze, and enhance the performance of machine learning models post-deployment. Collaborate cross-functionally to build customer cohorts for CRM campaigns and conduct market basket analysis. Stay updated with state-of-the-art techniques in NLP, particularly within the e-commerce domain. Required Skills & Qualifications: Programming & Tools: Proficient in Python, PySpark, and SQL for data manipulation and analysis. Machine Learning & AI: Strong experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and expertise in NLP, Computer Vision, Recommender Systems, and Optimization techniques. Cloud & Big Data: Hands-on experience with AWS services, including Glue, EKS, S3, SageMaker, and Redshift. Model Deployment: Experience deploying pre-trained models from platforms like Hugging Face and AWS Bedrock. DevOps & MLOps: Understanding of Git, Docker, CI/CD pipelines, and deploying models with frameworks such as FastAPI. Advanced NLP: Experience in building, retraining, and optimizing NLP models for diverse use cases. Preferred Qualifications: Strong research mindset with a keen interest in exploring new data science methodologies. Background in e-commerce analytics is a plus. If youre passionate about leveraging data to drive impactful business decisions and thrive in a dynamic environment, wed love to hear from you!,

Job Summary: We are seeking a visionary and hands-on AI Architect with 8+ years of experience in designing and deploying AI-driven systems, including Generative AI (GenAI), LLM integration, computer vision, and agentic workflows. This role demands deep technical expertise in transformer models, PyTorch, and tools such as Stable Diffusion, ControlNet, and LangChain, as well as a strong grasp of dataset strategy, bias mitigation, and scalable AI system architecture. Experience with e-commerce or fashion datasets is a strong plus. Key Responsibilities: Architect and lead the development of AI/ML systems, with a focus on Generative AI, including diffusion models, GANs, and LLMs. Implement and optimize models such as Stable Diffusion, ControlNet, and OpenPose for real-world use cases in visual content generation. Design LLM-integrated solutions using LangChain, agentic workflows, and multimodal AI systems. Collaborate with cross-functional teams to define dataset strategy, ensuring data relevance, diversity, and quality. Integrate Hugging Face Transformers and PyTorch-based architectures into production environments. Define and implement best practices around bias & fairness, model explainability, and ethical AI design. Lead architectural decisions for scalable AI platforms, focusing on performance, reliability, and continuous learning capabilities. Leverage domain knowledge in e-commerce/fashion for visual understanding, recommendation, or personalization solutions. Qualifications: 8+ years of experience in AI/ML system architecture, including 3+ years specifically in Generative AI and LLM ecosystems. Proficiency in PyTorch, Transformers, Hugging Face, and LangChain. Deep understanding of diffusion models, GANs, ControlNet, and OpenPose. Experience in designing agentic AI workflows, real-time inference systems, and production-grade AI infrastructure. Proven track record in dataset creation/curation, bias analysis, and fairness optimization. Strong communication skills and the ability to translate complex AI concepts into business impact. Preferred Qualifications : Prior experience with e-commerce, fashion technology, or retail-based AI datasets. Contributions to open-source AI frameworks or publications in relevant research areas. Familiarity with cloud AI services (e.g., AWS Sagemaker, Azure AI, or GCP Vertex AI). Understanding of AI observability, versioning, and model governance. Location - Pan India, Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune.

We are seeking a forward-thinking AI Architect to design, lead, and scale enterprise-grade AI systems and solutions across domains. This role demands deep expertise in machine learning, generative AI, data engineering, cloud-native architecture, and orchestration frameworks. You will collaborate with cross-functional teams to translate business requirements into intelligent, production-ready AI solutions. Key Responsibilities: Architecture & Strategy Design end-to-end AI architectures that include data pipelines, model development, MLOps, and inference serving. Create scalable, reusable, and modular AI components for different use cases (vision, NLP, time series, etc.). Drive architecture decisions across AI solutions, including multi-modal models, LLMs, and agentic workflows. Ensure interoperability of AI systems across cloud (AWS/GCP/Azure), edge, and hybrid environments. Technical Leadership Guide teams in selecting appropriate models (traditional ML, deep learning, transformers, etc.) and technologies. Lead architectural reviews and ensure compliance with security, performance, and governance policies. Mentor engineering and data science teams in best practices for AI/ML, GenAI, and MLOps. Model Lifecycle & Engineering Oversee implementation of model lifecycle using CI/CD for ML (MLOps) and/or LLMOps workflows. Define architecture for Retrieval Augmented Generation (RAG), vector databases, embeddings, prompt engineering, etc. Design pipelines for fine-tuning, evaluation, monitoring, and retraining of models. Data & Infrastructure Collaborate with data engineers to ensure data quality, feature pipelines, and scalable data stores. Architect systems for synthetic data generation, augmentation, and real-time streaming inputs. Define solutions leveraging data lakes, data warehouses, and graph databases. Client Engagement / Product Integration Interface with business/product stakeholders to align AI strategy with KPIs. Collaborate with DevOps teams to integrate models into products via APIs/microservices. Required Skills & Experience: Core Skills Strong foundation in AI/ML/DL (Scikit-learn, TensorFlow, PyTorch, Transformers, Langchain, etc.) Advanced knowledge of Generative AI (LLMs, diffusion models, multimodal models, etc.) Proficiency in cloud-native architectures (AWS/GCP/Azure) and containerization (Docker, Kubernetes) Experience with orchestration frameworks (Airflow, Ray, LangGraph, or similar) Familiarity with vector databases (Weaviate, Pinecone, FAISS), LLMOps platforms, and RAG design Architecture & Programming Solid experience in architectural patterns (microservices, event-driven, serverless) Proficient in Python and optionally Java/Go Knowledge of APIs (REST, GraphQL), streaming (Kafka), and observability tooling (Prometheus, ELK, Grafana) Tools & Platforms ML lifecycle tools: MLflow, Kubeflow, Vertex AI, Sagemaker, Hugging Face, etc. Prompt orchestration tools: LangChain, CrewAI, Semantic Kernel, DSPy (nice to have) Knowledge of security, privacy, and compliance (GDPR, SOC2, HIPAA, etc.)

Job Summary: AI Engineer Product Integration (LLMs & ML Systems) We are seeking a hands-on AI Engineer with proven experience in building, fine-tuning, and deploying Large Language Models (LLMs) and Machine Learning (ML) systems in production. This is not a research role were looking for someone who can turn models into scalable features, deeply integrated within our Optimiser CRM platform. Youll lead initiatives that turn AI into real value: automating workflows, enriching CRM data, and enhancing decision- making across our client base. This role requires strong engineering fundamentals, model fluency, and the ability to build reliable AI solutions in a multi-tenant environment. Key Responsibilities: AI/ML Development Design and fine-tune LLMs and ML models for specific CRM workflows. Build and optimize data pipelines for training, inference, and evaluation. Implement retrieval-augmented generation (RAG) and context injection strategies. Production Integration Package and deploy models into scalable production systems. Develop APIs and microservices for AI-powered features. Monitor model behavior in production; use telemetry to drive continuous improvement. Architecture & Compliance Ensure AI features adhere to multi-tenant data isolation and privacy standards. Collaborate with product and backend teams to align AI systems with Optimisers architecture. Implement access control, audit logging, and performance monitoring for AI services. Qualifications 2+ years of experience shipping ML/LLM features in a production environment. Strong Python development skills and hands-on experience with ML/LLM libraries (e.g., PyTorch, TensorFlow, LangChain, Hugging Face). Practical understanding of vector search, embeddings, and retrieval systems (e.g., Pinecone, FAISS, Weaviate). Experience deploying models as part of SaaS applications, especially in privacy-sensitive environments. Clear understanding of the ML lifecycle: from development to monitoring and iteration. Preferred (Not Mandatory) Exposure to prompt engineering and model evaluation techniques. Experience with fine-tuning LLMs or working with tools like LoRA, PEFT, or RAG pipelines. Familiarity with agent-based orchestration (e.g., LangChain agents, semantic routers). Understanding of MLOps (model versioning, deployment automation, rollback strategies). Location: Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology&mdashwe set the pace. 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, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquos possible, 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 Manager - AI Architect We are seeking a highly skilled AI Architect to design, develop, and oversee artificial intelligence (AI) and agentic solutions. You will be responsible for creating scalable AI architectures, integrating AI models / agentic solutions into enterprise systems, and ensuring alignment with business objectives . This role requires deep technical expertise , strategic thinking, and the ability to work with cross-functional teams. Responsibilities: AI Strategy & Architecture: Design and implement AI/ML architectures that align with business goals. Define best practices for AI model lifecycle management , including training, deployment, and monitoring. Ensure A gentic solutions are scalable, secure, and efficient for enterprise deployment. AI Development & Integration: Select the right AI frameworks, tools, and platforms for business needs. Oversee the development and integration of AI models into enterprise applications. Collaborate with data scientists and engineers to optimize AI models for performance and accuracy. Governance & Compliance: Establish AI governance frameworks to ensure ethical and responsible AI usage. Ensure compliance with data privacy laws (e.g., GDPR, CCPA) and industry regulations. Implement robust AI security measures to protect against adversarial attacks. Collaboration & Leadership: Work closely with business leaders, IT teams, and data science teams to translate requirements into AI solutions. Lead and mentor AI developers Stay updated with the latest AI trends and drive innovation in AI adoption within the organization. Qualifications we seek in you! Minimum qualifications: Technical Skills: Expertise in machine learning, deep learning, and NLP (TensorFlow, PyTorch , Hugging Face, etc.). Fine-tuning and Prompt Engineering - Optimizing LLMs like GPT-4, LLaMA , Claude, and Gemini for agentic behavior. Retrieval-Augmented Generation (RAG) - Integrating LLMs with knowledge bases for real-time decision-making. Agentic Frameworks - Proficiency in LangChain , AutoGPT , BabyAGI , or CrewAI for building autonomous agents. Strong knowledge of cloud AI platforms (AWS, Azure AI, Google Vertex AI). Proficiency in programming languages (Python, Java, R, etc.). Understanding of MLOps practices for model deployment and monitoring. Experience with API development and microservices architecture. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Ability to work in a fast-paced, cross-functional environment. Preferred Qualifications: Master&rsquos in Computer Science , AI, Data Science, or related fields. Certifications in AI/ML (e.g., AWS Certified Machine Learning, Google Professional ML Engineer). Relevant years of experience in software development or equivalent Experience in AI ethics and bias mitigation (Optional) Why join Genpact Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career &mdashGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build 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 140,000+ coders, 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.