299 Hugging Face Jobs - Page 8

???? Were Hiring: AI Engineer ???? Location: Bengaluru (Regular office-based role) ???? Employment Type: Full-Time | 5 Days a Week from Office ???? Qualification: B.E / B.Tech or equivalent degree in Computer Science, IT, or related field Are you passionate about building and scaling production-grade AI/ML systems We&aposre looking for a skilled AI Engineer to join our team in Bengaluru and help drive real-world impact through cutting-edge machine learning and GenAI technologies. ???? Must-Have Skills: 48 years of hands-on experience in designing, building, and deploying production-grade AI/ML solutions Proficiency in Python, PySpark, SQL , and ML libraries like Scikit-learn, XGBoost, LightGBM Cloud-native ML development experience on AWS (SageMaker), GCP (Vertex AI), or Azure ML Strong background in NLP/GenAI frameworks: Hugging Face, LangChain, LlamaIndex Practical knowledge of MLOps tools (MLflow, Weights & Biases, DVC) and deployment frameworks ( FastAPI, Flask, Docker, Kubernetes ) Excellent communication, stakeholder engagement, and team collaboration skills Good-to-Have: Publications, blog posts, or open-source contributions in AI/ML Experience leading AI strategy or owning technical roadmaps Show more Show less

As a Senior Data Scientist (Gen AI Developer) with 5 to 7+ years of experience, you will be based in Hyderabad and employed full-time in a hybrid work mode, spending 4 days in the office and 1 day working from home. Your primary responsibility will be to tackle a Conversational AI challenge for our client by utilizing your expertise in Speech-to-Text and Text Generation technologies. Your role will involve developing and fine-tuning Automatic Speech Recognition (ASR) models, implementing language models for industry-specific terminology, and incorporating speaker diarization to distinguish multiple voices in a conversation. Additionally, you will build conversation summarization models, apply Named Entity Recognition (NER), and use Large Language Models (LLMs) for deep conversation analysis and smart recommendations. You will also design Retrieval-Augmented Generation (RAG) pipelines leveraging external knowledge sources for enhanced performance. Furthermore, you will be tasked with creating sentiment and intent classification systems, developing predictive models for next-best-action suggestions based on historical call data and engagement, and deploying AI models on cloud platforms like AWS, Azure, or GCP. Optimizing inference and establishing MLOps pipelines for continual learning and performance enhancement will also be part of your responsibilities. To excel in this role, you must possess proven expertise in ASR, NLP, and Conversational AI systems, along with experience in tools such as Whisper, DeepSpeech, Kaldi, AWS Transcribe, and Google STT. Proficiency in programming languages like Python, PyTorch, TensorFlow, and familiarity with RAG, LangChain, and LLM fine-tuning is essential. Hands-on experience with vector databases and deploying AI solutions using Docker, Kubernetes, FastAPI, or Flask will be beneficial. Apart from technical skills, you should have strong business acumen to translate AI insights into impact, be a fast-paced problem-solver with innovative thinking abilities, and possess excellent collaboration and communication skills for effective teamwork across functions. Preferred qualifications include experience in healthcare, pharma, or life sciences NLP projects, knowledge of multimodal AI, prompt engineering, and exposure to Reinforcement Learning (RLHF) techniques for conversational models. Join us to work on impactful real-world projects in Conversational AI and Gen AI, collaborate with innovative teams and industry experts, leverage cutting-edge tools and cloud platforms, and enjoy a hybrid work environment that promotes flexibility and balance. Your ideas will be valued in our forward-thinking, AI-first culture. To apply for this exciting opportunity, please share your updated resume at resumes@empglobal.ae or apply directly through the platform. Kindly note that while we appreciate all applications, only shortlisted candidates will be contacted. Thank you for your understanding!,

You will be responsible for architecting and delivering Automation and AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. Working closely with business stakeholders, you will understand business requirements and design custom AI solutions to address complex challenges. This role offers the opportunity to accelerate AI adoption across the business landscape in the Statistical Applications and Data domain. Your key responsibilities include defining and leading AI use cases in clinical projects from start-up through close-out. This involves tasks such as protocol development, site management, and data review. To excel in this role, you must be a proficient programmer capable of developing AI solutions thoroughly. Additionally, you will be expected to coach and mentor junior AI/ML engineers to enhance and accelerate AI adoption in business processes. Required Technical Skills: - Bachelors degree in a relevant scientific discipline (e.g., Biomedical engineering, Life Sciences, Nursing, Pharmacy) or clinical background (e.g., MD- Doctor of Medicine OR RN - Registered Nurse) - Advanced degree (e.g., Masters or Ph.D.) in Data Science, AI/ML - Overall experience of 10-12 years with a minimum of 5-7 years in clinical research, particularly managing clinical trials in pharmaceutical, biotechnology, or contract research organization (CRO) settings - Minimum of 5-7 years of experience in AI research and development, specifically focusing on healthcare or life sciences applications - Strong understanding of clinical trial regulations and guidelines, including Good Clinical Practice (GCP), International Conference on Harmonization (ICH), and applicable local regulations - Proven track record in designing and delivering AI solutions, emphasizing foundation models, large language models, or similar technologies - Experience in natural language processing (NLP) and text analytics is highly desirable - Proficiency in programming languages such as Python, R, and experience with AI frameworks like TensorFlow, PyTorch, or Hugging Face - Knowledge of libraries such as SciKit Learn, Pandas, Matplotlib, etc. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus - Experience working with large datasets, performing data pre-processing, feature engineering, and model evaluation - Proficiency in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions In summary, this role requires a seasoned professional with a strong background in AI, clinical research, and technical expertise to drive innovation and AI adoption in the pharmaceutical domain, particularly in clinical settings.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. EY is counting on your unique voice and perspective to help them become even better. Join EY to build an exceptional experience for yourself and contribute to creating a better working world for all. The Capacity Analyst role involves developing and implementing capacity plans for complex IT services, applications, and infrastructure components to ensure efficient use of IT Infrastructure to cost-effectively meet business needs. The position collaborates across the EY Technology organization to incorporate capacity management principles into the design and management of network/services/applications. Key Responsibilities: - Develop complex service capacity forecasts and scalability plans using production system metrics, performance test results, and business requirements. - Ensure efficient utilization of IT infrastructure to meet capacity and performance requirements for services and applications. - Work with service delivery organizations in EY Technology to develop business forecasts and incorporate them into service and component capacity plans. - Define component resource requirements for complex services/applications and develop scalability plans. - Monitor service capacity performance for complex applications/products/services and components to proactively avoid incidents/problems. - Perform problem determination of capacity/performance issues and recommend solutions. - Oversee the Capacity Management process for complex services and components. - Monitor capacity process compliance, recommend and implement process improvements. Skills and Attributes for Success: - Comprehensive understanding of Generative AI technologies and frameworks. - Extensive experience in data migration processes and Azure Data Factory. - Knowledge of virtualization technologies, MS SQL, Network, Server Hardware, Storage, and Cloud technologies. - Experience in Capacity Modelling and data analysis/reporting tools. - Understanding of Capacity Management methodologies based on ITIL principles. - Knowledge of global server architectures and planning for systems over multiple global locations. Qualifications: - Bachelor's degree in a related discipline or equivalent work experience. - 2-5 years of experience in Data Science with a focus on Data Engineering and Generative AI. - Strong problem-solving, communication, interpersonal, and analytic skills. - Knowledge of the IT Process Landscape. - Excellent English language skills. - Ability to adapt to changing priorities and work with diverse teams. - Certification in ITIL V3 Foundations or equivalent experience. Desired Skills: - Excellent communication and negotiation skills. - Flexibility to adjust to changing demands and work with diverse teams. - Strong teamwork, collaboration, documentation, and analytics skills. What We Offer: EY provides a highly integrated, global team environment with opportunities for growth and career development. The benefits package focuses on physical, emotional, financial, and social well-being. Continuous learning, transformative leadership, and a diverse and inclusive culture are key aspects of working at EY. EY is committed to building a better working world by creating long-term value for clients, people, and society. With diverse teams in over 150 countries, EY provides trust through assurance and helps clients grow, transform, and operate across various services. Please note that the role may require working outside normal hours and travel, both domestically and internationally, given its global focus and responsibilities.,

Position Description Company Profile: - At CGI, were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. Job Title: Data scientist Position: Software Engineer (SE) / Senior Software Engineer (SSE) Experience: 5 years to 8 Years Category: zINACTIVE - Information Technology Main location: Bangalore Position ID: J0725-0906 Employment Type: Full Time Job Description: - Data scientist: - About the role: As a Product Data Scientist at CGI, You will play a pivotal role in validating assumptions, conducting in-depth data analysis, and collaborating with cross-functional teams to generate actionable insights. Your expertise will support product development, enhance data-driven decision-making, and contribute to the design and implementation of innovative features leveraging Large Language Models (LLMs) and Agentic AI frameworks. You will be instrumental in translating complex data structures into meaningful insights, ensuring data integrity, and fostering a data-centric culture within the organization. Proficiency in SQL for data querying. Familiarity with Python and R for data analysis and machine learning. Experience with data visualization tools (e.g., Tableau, Power BI). Knowledge of LLM frameworks (e.g., OpenAI, Hugging Face) is a plus. Strong analytical skills to interpret complex datasets. Excellent communication skills for collaboration and presentation. Your future duties and responsibilities Required Qualifications To Be Successful In This Role Together, as owners, lets turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction. Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our teamone of the largest IT and business consulting services firms in the world. Show more Show less

Position Description Company Profile: - At CGI, were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. Job Title: Data scientist Position: Software Engineer (SE) / Senior Software Engineer (SSE) Experience: 5 years to 8 Years Category: zINACTIVE - Information Technology Main location: Bangalore Position ID: J0725-0907 Employment Type: Full Time Job Description: - Data scientist: - About the role: As a Product Data Scientist at CGI, You will play a pivotal role in validating assumptions, conducting in-depth data analysis, and collaborating with cross-functional teams to generate actionable insights. Your expertise will support product development, enhance data-driven decision-making, and contribute to the design and implementation of innovative features leveraging Large Language Models (LLMs) and Agentic AI frameworks. You will be instrumental in translating complex data structures into meaningful insights, ensuring data integrity, and fostering a data-centric culture within the organization. Proficiency in SQL for data querying. Familiarity with Python and R for data analysis and machine learning. Experience with data visualization tools (e.g., Tableau, Power BI). Knowledge of LLM frameworks (e.g., OpenAI, Hugging Face) is a plus. Strong analytical skills to interpret complex datasets. Excellent communication skills for collaboration and presentation. Your future duties and responsibilities Required Qualifications To Be Successful In This Role Together, as owners, lets turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction. Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our teamone of the largest IT and business consulting services firms in the world. Show more Show less

Company Size Large-scale / Global Experience Required 3 - 5 years Working Days 6 days/week Office Location Viman Nagar, Pune Role & Responsibilities Agentic AI Development: Design and develop multi-agent conversational frameworks with adaptive decision-making capabilities. Integrate goal-oriented reasoning and memory components into agents using transformer-based architectures. Build negotiation-capable bots with real-time context adaptation and recursive feedback processing. Generative AI & Model Optimization: Fine-t une LLMs/SLMs using proprietary and domain-specific datasets (NBFC, Financial Services, etc.). Apply distillation and quantization for efficient deployment on edge devices. Benchmark LLM/SLM performance on server vs. edge environments for real-time use cases. Speech And Conversational Intelligence: Implement contextual dialogue flows using speech inputs with emotion and intent tracking. Evaluate and deploy advanced Speech-to-Speech (S2S) models for naturalistic voice responses. Work on real-time speaker diarization and multi-turn, multi-party conversation tracking. Voice Biometrics & AI Security: Train and evaluate voice biometric models for secure identity verification. Implement anti-spoofing layers to detect deepfakes, replay attacks, and signal tampering. Ensure compliance with voice data privacy and ethical AI guidelines. Self-Learning & Autonomous Adaptation: Develop frameworks for agents to self-correct and adapt using feedback loops without full retraining. Enable low-footprint learning systems on-device to support personalization on the edge. Ideal Candidate Educational Qualifications: Bachelors/Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience Required: 35 years of experience, with a mix of core software development and AI/ML model engineering. Proven hands-on work with Conversational AI, Generative AI, or Multi-Agent Systems. Technical Proficiency: Strong programming in Python, TensorFlow/PyTorch, and model APIs (Hugging Face, LangChain, OpenAI, etc.). Expertise in STT, TTS, S2S, speaker diarization, and speech emotion recognition. LLM fine-tuning, model optimization (quantization, distillation), RAG pipelines. Understanding of agentic frameworks, cognitive architectures, or belief-desire-intention (BDI) models. Familiarity with Edge AI deployment, low-latency model serving, and privacy-compliant data pipelines. Desirable: Exposure to agent-based simulation, reinforcement learning, or behavioralmodeling. Publications, patents, or open-source contributions in conversational AI or GenAI systems. Perks, Benefits and Work Culture Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of Indias most diversified Non-banking financial companies, and among Asias top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations were present in India. Skills: edge ai deployment,adaptation,speech emotion recognition,llm fine-tuning,tensorflow,models,intelligence,model optimization,speech,speech-to-speech,data,openai,hugging face,llm,optimization,agents,langchain,pytorch,python Show more Show less

As a seasoned fullstack developer, you will be responsible for leading the development of various products while leveraging your expertise in AI/ML and market & website analytics. Your role will be pivotal in the creation of intelligent platforms and driving data-informed decisions. You will lead the fullstack development of products, with a preference for utilizing technologies such as Node.js, React/Angular, and MongoDB/PostgreSQL. Additionally, your role will involve building and integrating AI-powered features like NLP, predictive analytics, and recommendation systems. Analyzing data from tools like Google Analytics, Mixpanel, and Amplitude will be crucial, along with developing dashboards and data visualizations to support marketing and product teams. Collaboration with designers, data engineers, and product managers will be essential to align technological developments with business strategies. You will take ownership of product performance and conversion metrics, conducting regular audits and implementing improvements based on evaluations of user behavior, funnels, and attribution data. To excel in this role, you must possess strong fullstack capabilities including JavaScript, Node.js, React/Angular, APIs, and databases. Practical experience in AI/ML frameworks such as Python, TensorFlow, and Hugging Face, along with proficiency in website analytics, user behavior tracking, and A/B testing, are required. Experience in building or integrating marketing analytics systems and the ability to generate meaningful insights from data for stakeholders are crucial aspects of this position. Knowledge of SEO, CRO, and performance optimization best practices will also be beneficial. In summary, this role offers an exciting opportunity for a skilled fullstack developer to contribute to the development of intelligent platforms, drive data-informed decisions, and collaborate with cross-functional teams to ensure alignment with business objectives.,

You are a highly skilled AI/ML/Gen AI Data Scientist with expertise in Generative AI, Machine Learning, Deep Learning, and Natural Language Processing (NLP). You have a strong foundation in Python-based AI frameworks and experience in developing, deploying, and optimizing AI models for real-world applications. Your responsibilities include developing and implementing AI/ML models, working with Deep Learning architectures like Transformers (BERT, GPT, LLaMA) and CNNs/RNNs, fine-tuning and optimizing Large Language Models (LLMs) for various applications, designing and training custom Machine Learning models using structured and unstructured data, leveraging NLP techniques such as text summarization and Named Entity Recognition (NER), implementing ML pipelines, and deploying models in cloud environments (AWS/GCP/Azure). You will collaborate with cross-functional teams to integrate AI-driven solutions into business applications and stay updated with the latest AI advancements to apply innovative techniques to improve model performance. To qualify for this role, you should have 1 to 3 years of experience in AI/ML, Deep Learning, and Generative AI, strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn, hands-on experience with NLP models including BERT, GPT, T5, LLaMA, and Stable Diffusion, expertise in data preprocessing, feature engineering, and model evaluation, experience with MLOps, cloud-based AI deployment, and containerization (Docker, Kubernetes), knowledge of vector databases and retrieval-augmented generation (RAG) techniques, ability to fine-tune LLMs and work with prompt engineering, strong problem-solving skills, and the ability to work in agile environments. You should hold a Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, or Information Technology. Preferred skills include experience with Reinforcement Learning (RLHF) and multi-modal AI, familiarity with AutoML, Responsible AI (RAI), and AI Ethics, exposure to Graph Neural Networks (GNNs) and time-series forecasting, contributions to open-source AI projects or research papers. Your skills should encompass Machine Learning (ML), Generative AI, Artificial Intelligence (AI), Python, and Large Language Models (LLM).,

Job Description: As an AI Engineer Intern at Brainwonders, you will have the exciting opportunity to work in cutting-edge fields like Large Language Models (LLMs), AI Agents, ML Fundamentals, and Cloud Deployment with a focus on AWS. This internship is designed for individuals with 0-1 year of experience, including final-year students and freshers. The position is based in Borivali East, Mumbai, and offers the possibility of a full-time offer upon successful completion of the internship. Your primary responsibilities will include building and testing LLM-based applications and workflows, experimenting with agent frameworks such as LangGraph and CrewAI, and utilizing transformer models like LLaMA and Mistral for domain-specific tasks. Additionally, you will deploy models and services on AWS using tools like Lambda, EC2, and SageMaker, and collaborate on prompt engineering, fine-tuning, and pipeline optimization. To excel in this role, you should have a solid understanding of LLMs, tokenization, and transformers, along with proficiency in Python programming using libraries like Pandas, NumPy, Hugging Face, and LangChain. Exposure to AWS services like EC2, Lambda, S3, or SageMaker is essential, as well as a strong eagerness to explore real-world AI use cases such as agents, copilots, and RAG-based systems. Basic knowledge of machine learning and hands-on project experience will be advantageous. It would be beneficial if you have experience with serverless deployments on AWS, familiarity with monitoring and logging tools like CloudWatch and OpenTelemetry, and a track record of contributing to open-source AI tools or models. This internship offers a unique opportunity to work with a dynamic team and gain valuable experience in the field of artificial intelligence. Thank you for considering Brainwonders as your next career destination.,

As an AI Senior Developer in the Sales Cloud team at SAP, your primary responsibility will be to develop product features within the Sales portfolio, integrating AI-driven solutions, and helping the team deliver services on the cloud-native stack on a continuous basis. You will work with a highly motivated and talented set of colleagues, translating business requirements into scalable and performant technical solutions. Your role will involve designing, coding, testing, and assuring the quality of complex AI-powered product features within the Customer Experience & Sales portfolio. To excel in this role, you should bring at least 4-9 years of software engineering experience, with significant exposure to building products on the cloud-native stack. Strong knowledge of Computer Science fundamentals is essential, along with proficiency in Python/Java; Spring Boot experience is preferred. Familiarity with JavaScript, experience with Angular or ABAP, and hands-on experience with Git and CI/CD pipelines are desired qualifications. You should have a proven track record of writing production-grade code for enterprise-scale systems and experience with SQL databases; knowledge of NoSQL and event streaming (e.g., Kafka) is a bonus. Additionally, experience working with LLMs and generative AI frameworks (e.g., OpenAI, Hugging Face, etc.) is valuable. Demonstrated ability to build or integrate AI-driven features into enterprise applications is key, and familiarity with SAP software (e.g., SAP S/4HANA, SAP Business Technology Platform) is an asset. Knowledge of Agentic AI and frameworks is also beneficial. Strong collaboration and communication skills are crucial for success in this role, along with experience using tools like JIRA for tracking tasks and bugs. Joining the SAP CX team means positively impacting how businesses are run globally. SAP CX is a leader in enterprise cloud applications for cloud CRM and DXP solutions, empowering organizations to understand their customers better and engage with relevance and personalization. At SAP, we believe in a culture of inclusion, focus on health and well-being, and flexible working models to ensure that everyone, regardless of background, feels included and can perform at their best. We are committed to creating a better and more equitable world by unleashing all talent and investing in our employees" development. If you have what it takes to be part of a dynamic team that drives the company's product portfolio forward, we want to hear from you. SAP is proud to be an equal opportunity workplace and an affirmative action employer. We provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and require accommodation or special assistance, please contact the Recruiting Operations Team at Careers@sap.com.,

As an experienced AI Architect, you will be responsible for leading the development of AI and Machine Learning infrastructure and specialized language models for HR applications. Your role will involve establishing and leading MLOps practices and driving the creation of scalable, production-ready AI/ML systems. You will collaborate with business teams to discuss the feasibility of AI/ML use cases and translate the vision of business leaders into realistic technical implementations. Your expertise will be crucial in defining the AI architecture, selecting appropriate technologies, designing and implementing robust ML infrastructure and deployment pipelines, and establishing comprehensive MLOps practices for model training, versioning, and deployment. In this role, you will lead the development of HR-specialized language models (SLMs), implement model monitoring, observability, and performance optimization frameworks, and develop fine-tuning strategies for large language models. You will create and maintain data quality assessment and validation processes, design model versioning systems and A/B testing frameworks, and define technical standards and best practices for AI development while optimizing infrastructure for cost, performance, and scalability. To be successful in this position, you should have 7+ years of experience in ML/AI engineering or related technical roles, with at least 3 years of hands-on experience in MLOps and production ML systems. Your expertise should include fine-tuning and adapting foundation models, knowledge of model serving infrastructure and orchestration, proficiency with MLOps tools such as MLflow, Kubeflow, Weights & Biases, and experience in implementing model versioning and A/B testing frameworks. Proficiency in Python and ML frameworks like PyTorch, TensorFlow, Hugging Face, as well as experience with cloud-based ML platforms such as AWS, Azure, Google Cloud, are essential. A proven track record of deploying ML models at scale, developing AI applications for enterprise software domains, and knowledge of distributed training techniques and infrastructure will be beneficial. Familiarity with retrieval-augmented generation (RAG) systems, vector databases like Pinecone, Weaviate, Milvus, and understanding of responsible AI practices and bias mitigation are also desired. A Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field is required for this position.,

As a Software Engineer specializing in AI/ML/LLM/Data Science at Entra Solutions, a FinTech company within the mortgage Industry, you will play a crucial role in designing, developing, and deploying AI-driven solutions using cutting-edge technologies such as Machine Learning, NLP, and Large Language Models (LLMs). Your primary focus will be on building and optimizing retrieval-augmented generation (RAG) systems, LLM fine-tuning, and vector search technologies using Python. You will be responsible for developing scalable AI pipelines that ensure high performance and seamless integration with both cloud and on-premises environments. Additionally, this role will involve implementing MLOps best practices, optimizing AI model performance, and deploying intelligent applications. In this role, you will: - Develop, fine-tune, and deploy AI/ML models and LLM-based applications for real-world use cases. - Build and optimize retrieval-augmented generation (RAG) systems using Vector Databases such as ChromaDB, Pinecone, and FAISS. - Work on LLM fine-tuning, embeddings, and prompt engineering to enhance model performance. - Create end-to-end AI solutions with APIs using frameworks like FastAPI, Flask, or similar technologies. - Establish and maintain scalable data pipelines for training and inferencing AI models. - Deploy and manage models using MLOps best practices on cloud platforms like AWS or Azure. - Optimize AI model performance for low-latency inference and scalability. - Collaborate with cross-functional teams including Product, Engineering, and Data Science to integrate AI capabilities into applications. Qualifications: Must Have: - Proficiency in Python - Strong hands-on experience in AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, and OpenAI APIs. Good to Have: - Experience with LLM fine-tuning, embeddings, and transformers. - Knowledge of NLP, vector search technologies (ChromaDB, Pinecone, FAISS, Milvus). - Experience in building scalable AI models and data pipelines with Spark, Kafka, or Dask. - Familiarity with MLOps tools like Docker, Kubernetes, and CI/CD for AI models. - Hands-on experience in cloud-based AI deployment using platforms like AWS Lambda, SageMaker, GCP Vertex AI, or Azure ML. - Knowledge of prompt engineering, GPT models, or knowledge graphs. What's in it for you - Competitive Salary & Full Benefits Package - PTOs / Medical Insurance - Exposure to cutting-edge AI/LLM projects in an innovative environment - Career Growth Opportunities in AI/ML leadership - Collaborative & AI-driven work culture Entra Solutions is an equal employment opportunity employer, and we welcome applicants from diverse backgrounds. Join us and be a part of our dynamic team driving innovation in the FinTech industry.,

You are an experienced AI Engineer who will be a valuable addition to our team in developing and integrating cutting-edge AI tools into our SaaS products. Your expertise with platforms like OpenAI, LangChain, or Hugging Face, coupled with a strong background in delivering scalable, production-ready AI solutions, will be key in this role. As the AI Engineer, you will lead AI feature development, collaborate cross-functionally, and mentor junior engineers. Your responsibilities will include designing and developing AI-driven features leveraging large language models (LLMs) and embedding techniques. You will integrate solutions using tools such as OpenAI, vector databases (e.g., Pinecone, FAISS), and generative AI frameworks like LangChain or Hugging Face. Additionally, you will build and maintain Retrieval-Augmented Generation (RAG) pipelines and conversational AI workflows, collaborating closely with backend and frontend engineering teams to ensure seamless integration of AI capabilities into the product. Continuous optimization of AI models and pipelines for performance, scalability, and accuracy will also be part of your role. To be successful in this position, you should have at least 3-5 years of experience in AI/ML-focused software development, proficiency in Python, and hands-on experience with AI frameworks and toolkits such as LangChain, Pinecone, and OpenAI. Strong problem-solving abilities, a solid understanding of system architecture and design, as well as excellent communication and collaboration skills are essential requirements. This is a full-time position with benefits including food provision, health insurance, and Provident Fund. The work schedule is day shift, Monday to Friday, with the work location being in person.,

As an AI Development and Integration specialist, you will be responsible for developing and optimizing AI solutions using tools like Claude.ai, Perplexity.ai, and other Anthropics-powered systems. Your primary focus will be on building and integrating AI-driven features into EdTech platforms to enhance adaptive learning, content personalization, and intelligent tutoring capabilities. In the realm of EdTech solutions development, you will design AI applications specifically tailored to the education sector. This includes creating virtual tutors, automated assessments, and recommendation systems. It will be crucial for you to collaborate closely with educators and curriculum designers to ensure that the AI functionalities align with educational goals effectively. Your role will also involve model training and fine-tuning, where you will be required to train and optimize LLMs for specific EdTech use cases. This process aims to guarantee the delivery of accurate and meaningful interactions. Additionally, you will apply transfer learning techniques to customize general AI models for education-specific tasks. Utilizing tools like Claude.ai and Perplexity.ai will be essential in your work to create innovative solutions for interactive learning and derive data-driven insights. You will have the opportunity to experiment with features from emerging Anthropics technologies to enhance the capabilities of the EdTech platform continually. Staying updated on the latest developments in AI and EdTech will be a crucial aspect of your role to implement cutting-edge solutions effectively. Engaging in exploratory research to explore how advanced AI tools can address key challenges in the education sector will also be part of your responsibilities. Collaboration and stakeholder engagement will play a significant role in your work, requiring you to work closely with product managers, UX designers, and other developers to deliver AI-powered EdTech features successfully. You will need to effectively communicate AI concepts and capabilities to technical and non-technical stakeholders, ensuring a clear understanding across the board. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. would be advantageous. Demonstrated expertise in working with Claude.ai, Perplexity.ai, and other Anthropics systems is essential. Proficiency in Python and familiarity with AI frameworks like TensorFlow, PyTorch, and Hugging Face are required. A deep understanding of NLP techniques, LLM architectures, and transformer-based models is crucial. Experience with API integrations and deploying AI/ML models in production environments is necessary. Previous experience in developing AI solutions for educational platforms and knowledge of challenges in EdTech, including accessibility, data privacy (e.g., FERPA, GDPR), and scalability, will be beneficial for this role.,

You should have 3 to 10 years of experience in AI development and be located in Coimbatore. Immediate joiners are preferred. A minimum of 2 years of experience in core Gen AI is required. As an AI Developer, your responsibilities will include designing, developing, and fine-tuning Large Language Models (LLMs) for various in-house applications. You will implement and optimize Retrieval-Augmented Generation (RAG) techniques to enhance AI response quality. Additionally, you will develop and deploy Agentic AI systems capable of autonomous decision-making and task execution. Building and managing data pipelines for processing, transforming, and feeding structured/unstructured data into AI models will be part of your role. It is essential to ensure scalability, performance, and security of AI-driven solutions in production environments. Collaboration with cross-functional teams, including data engineers, software developers, and product managers, is expected. You will conduct experiments and evaluations to improve AI system accuracy and efficiency while staying updated with the latest advancements in AI/ML research, open-source models, and industry best practices. You should have strong experience in LLM fine-tuning using frameworks like Hugging Face, DeepSpeed, or LoRA/PEFT. Hands-on experience with RAG architectures, including vector databases such as Pinecone, ChromaDB, Weaviate, OpenSearch, and FAISS, is required. Experience in building AI agents using LangChain, LangGraph, CrewAI, AutoGPT, or similar frameworks is preferred. Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow is necessary. Experience in Python web frameworks such as FastAPI, Django, or Flask is expected. You should also have experience in designing and managing data pipelines using tools like Apache Airflow, Kafka, or Spark. Knowledge of cloud platforms (AWS/GCP/Azure) and containerization technologies (Docker, Kubernetes) is essential. Familiarity with LLM APIs (OpenAI, Anthropic, Mistral, Cohere, Llama, etc.) and their integration in applications is a plus. A strong understanding of vector search, embedding models, and hybrid retrieval techniques is required. Experience with optimizing inference and serving AI models in real-time production systems is beneficial. Experience with multi-modal AI (text, image, audio) and familiarity with privacy-preserving AI techniques and responsible AI frameworks are desirable. Understanding of MLOps best practices, including model versioning, monitoring, and deployment automation, is a plus. Skills required for this role include PyTorch, RAG architectures, OpenSearch, Weaviate, Docker, LLM fine-tuning, ChromaDB, Apache Airflow, LoRA, Python, hybrid retrieval techniques, Django, GCP, CrewAI, OpenAI, Hugging Face, Gen AI, Pinecone, FAISS, AWS, AutoGPT, embedding models, Flask, FastAPI, LLM APIs, DeepSpeed, vector search, PEFT, LangChain, Azure, Spark, Kubernetes, AI Gen, TensorFlow, real-time production systems, LangGraph, and Kafka.,

The selected candidate will be working for our Indian JV - D2AI Labs in Bangalore/Chennai/Remote. Key Responsibilities: Lead Agent Development: Architect, build, and deploy the central interface agent that connects and coordinates specialized AI agents. Agent Orchestration: Implement reliable communication, delegation, and data-handling mechanisms between agents. LLM Integration: Fine-tune and integrate LLMs (Azure OpenAI or similar), utilizing advanced prompt engineering techniques. MLOps Implementation: Maintain robust MLOps pipelines, CI/CD workflows, and performance monitoring on Azure. Vector Database Management: Design data pipelines using vector databases like Pinecone, Qdrant, or Milvus for RAG and agent memory. A2A Communication & MCP: Enable advanced agent-to-agent communication using established protocols like MCP/MCPTx. Collaborate with cross-functional teams to translate business requirements into scalable AI/ML solutions. Optimize AI models for performance, scalability, and accuracy. Conduct thorough testing, evaluation, and documentation of models and systems. Stay up to date with the latest advancements in AI, particularly in the Generative AI space. Qualifications & Skills: Proven experience in LLM model development (e.g., OpenAI, GPT, BERT, etc.). Hands-on experience in building GenAI agents and conversational workflows. Strong Python programming skills with a focus on AI/ML libraries and frameworks (e.g., PyTorch, TensorFlow, Hugging Face). Proven experience building or orchestrating multi-agent systems using frameworks like LangGraph. Prior work experience in the Telecom industry with a clear understanding of domain-specific challenges.,

As a dynamic AI & Automation Strategist, you will be responsible for driving the implementation of intelligent, automation-first solutions across various internal departments. Your role will involve identifying opportunities for AI and automation, designing and managing efficient workflows, integrating AI tools into various tasks, collaborating with different teams, developing internal tools, and providing technical support for AI-based projects. You will work cross-functionally to embed AI tools and automation into everyday operations, transforming the way teams work and deliver value. Your key responsibilities will include identifying opportunities for AI and automation across departments such as Sales, Project Management, Development, QA, SEO, Design, and HR. You will design and manage efficient workflows using tools like n8n, Zapier, or other automation tools to streamline internal processes. Collaborating with team leads, you will evaluate inefficiencies and recommend AI-powered solutions. Additionally, you will integrate AI into QA and development tasks, collaborate with the Sales team to automate CRM updates, lead nurturing flows, email campaigns, and reporting, develop internal tools, scripts, or dashboards, guide teams on effectively using AI tools, and pilot new tools while continuously refining implementation strategies. The desired skills for this role include a minimum of 6 months of hands-on experience in AI or automation-related projects, familiarity with low-code/no-code platforms like n8n, Zapier, Make, or similar, working knowledge of AI APIs/tools such as OpenAI, Hugging Face, or Google Vertex AI, basic proficiency in JavaScript or Python for task automation and API integration, understanding of frontend/backend workflows and QA cycles, ability to build simple tools and integrations to enhance team productivity, strong analytical and problem-solving skills, and effective communication abilities to explain technical ideas to non-technical users. Nice to have skills for this role include experience in building internal tools or automations, exposure to concepts like vector databases, LangChain, or agent-based automation, previous involvement in AI/automation training or workshops, awareness of AI ethics and best practices in data usage, and familiarity with automation in development pipelines or DevOps environments.,

At EY, you'll have the opportunity to shape a career that aligns with your unique strengths and aspirations, supported by a global network, inclusive environment, and cutting-edge technology. Your voice and perspective are valued as we strive to enhance EY's capabilities and create a more inclusive working world. Join the EY Parthenon team as the Artificial Intelligence (AI) and Generative AI (GenAI) Leader. This dynamic team focuses on delivering innovative client solutions across various industries, leveraging digital and AI technologies to drive transformation and growth. As the Executive Director of AI & GenAI at EYP, your role involves spearheading the integration of advanced AI solutions to address complex client challenges. Your responsibilities include collaborating with regional teams to identify AI opportunities, design tailored proposals, and lead client workshops to develop AI strategies aligned with business outcomes. Key responsibilities also include architecting end-to-end AI solutions, driving cross-sector innovation, ensuring ethical AI practices, and contributing to AI trends and thought leadership initiatives. To excel in this role, you should possess technical expertise in AI/GenAI lifecycle, proficiency in Python and AI frameworks, consulting acumen, and strong leadership skills. Qualifications for this position include significant experience in AI/data science projects, familiarity with Azure Cloud Framework, and expertise in statistical techniques and machine learning algorithms. Preferred qualifications include a PhD/MS/MTech/BTech in Computer Science or related field, research experience in AI applications, and strategic thinking abilities. Join us to lead AI innovation for Fortune 500 clients, collaborate with multidisciplinary experts, and accelerate your career in a culture of entrepreneurship and continuous learning. EY Global Delivery Services (GDS) offers a diverse and inclusive environment where you can collaborate with global teams and work on impactful projects across various business disciplines. You'll have access to continuous learning opportunities, transformative leadership resources, and a supportive culture that values individual contributions and fosters growth. EY is committed to building a better working world by creating long-term value for clients, promoting diversity and trust, and addressing complex global challenges through innovative solutions. Join us to be part of a team that asks better questions to find new answers and make a positive impact on the world.,

As an AI Developer specializing in Large Language Models (LLMs) with a focus on EdTech, you will play a crucial role in developing cutting-edge AI solutions to revolutionize learning experiences and educational outcomes. You will work with tools like Claude.ai, Perplexity.ai, and Anthropics" AI systems to create innovative features that enhance adaptive learning, content personalization, and intelligent tutoring within EdTech platforms. Your responsibilities will include developing and integrating AI solutions, designing AI applications tailored to the education sector, training and fine-tuning LLMs for specific EdTech use cases, and leveraging AI tools to create interactive learning experiences. You will also stay updated on the latest advancements in AI and EdTech, conduct research on implementing state-of-the-art solutions, and collaborate with cross-functional teams to deliver AI-powered features. To excel in this role, you should have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. will be advantageous. Your technical skills should encompass expertise in Claude.ai, Perplexity.ai, and Anthropics systems, proficiency in Python and AI frameworks like TensorFlow and PyTorch, and a deep understanding of NLP techniques and transformer-based models. Experience with API integrations and deploying AI/ML models in production environments is essential. Furthermore, your EdTech experience should demonstrate your ability to address challenges such as accessibility, data privacy regulations (e.g., FERPA, GDPR), and scalability within educational platforms. Strong analytical, problem-solving, and communication skills are required to effectively explain complex AI concepts to both technical and non-technical stakeholders. A collaborative mindset and a passion for leveraging AI to enhance education will set you up for success in this role. Preferred qualifications include familiarity with adaptive learning systems, gamification in education, or chatbot implementations, as well as experience working with cloud platforms like AWS, GCP, or Azure. Prior involvement in projects involving real-time interactions through AI integration will be beneficial for this position.,

Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any and all capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset-based securitization Spocto - Debt recovery & risk mitigation platform Corpository - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals, and Predictions to Lenders, Investors, and Business Enterprises So far, we have onboarded over 17000+ enterprises, 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed, and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story. This particular role is within our Yubi Invest vertical, and you would get to work on building our bonds platform, called Aspero, for retail users. Be able to operate in ambiguous situations and define clear objectives by breaking down the narratives independently. Work closely with business, research, data and engineering teams to understand the user goals, market dynamics and ship products. Aligning product strategy, proposition and roadmap with measurable metrics with all stakeholders. Drive PRDs, product planning, and product design of new features and enhancements. Clearly communicate product and platform benefits to our users and internal stakeholders. We're looking for a highly skilled, results-driven AI engineer who thrives in fast-paced, high-impact environments. If you are passionate about pushing the boundaries of Computer Vision, OCR, and Large Language Models (LLMs) and have a strong foundation in building and deploying AI solutions, this role is for you. As a Senior Data Scientist, you will take ownership of designing and implementing state-of-the-art OCR and Computer Vision systems. This role demands deep technical expertise, the ability to work autonomously, and a mindset that embraces complex challenges head-on. Here, you won't just fine-tune pre-trained modelsyou'll be architecting, optimizing, and scaling AI solutions that power real-world applications. Key Responsibilities: - Architect, develop, and deploy high-performance Computer Vision and OCR models for real-world applications. - Implement and optimize state-of-the-art OCR models such as Donut, TrOCR, LayoutLM, and DocFormer for document processing and information extraction. - Fine-tune and integrate LLMs (GPT, LLaMA, Mistral, etc.) to enhance text understanding and automation. - Develop custom deep learning models for large-scale image and document processing. - Build and optimize end-to-end AI pipelines, ensuring efficient data processing and model deployment. - Work closely with engineers to operationalize AI models in production (Docker, FastAPI, TensorRT, ONNX). - Enhance GPU performance and model inference efficiency, applying techniques such as quantization and pruning. - Stay ahead of industry advancements, continuously experimenting with new AI architectures and training techniques. - Work in a highly dynamic, startup-like environment, balancing rapid experimentation with production-grade robustness. Requirements: - 5-10 years experience - Proven technical expertise - Strong programming skills in Python, PyTorch, TensorFlow with deep experience in Computer Vision and OCR. - Hands-on experience in developing, training, and deploying OCR and document AI models. - Deep understanding of Transformer-based architectures for vision and text processing. - Experience working with Hugging Face, OpenCV, TensorRT, and NVIDIA GPUs for model acceleration. - Autonomous problem solver - Strong experience in scaling AI solutions, including model optimization and deployment on cloud platforms (AWS/GCP/Azure). - Thrives in fast-paced environments - Familiarity with MLOps tools (Docker, FastAPI, Kubernetes) for seamless model deployment. - Experience in multi-modal models (Vision + Text). Nice to Have: - Strong background in vector databases, RAG pipelines, and fine-tuning LLMs for document intelligence. - Contributions to open-source AI projects.,

You will be joining our team as a Machine Learning / AI expert with 4-7 years of experience, dedicated to creating impactful GenAI solutions using Vertex AI on Google Cloud. If you are passionate about cutting-edge AI/LLM technologies and enjoy driving Proof of Concept (POC) delivery, we are excited to invite you to apply! Your responsibilities will include collaborating with both business and technical teams to define and implement GenAI/ML use cases as POCs. You will be responsible for building and deploying ML/GenAI models on Google Vertex AI, fine-tuning and evaluating LLMs for real-world applications, working closely with data engineers to design secure and scalable ML pipelines, as well as documenting and maintaining reproducible workflows. To succeed in this role, you must possess 4-7 years of hands-on experience in ML/AI project delivery. A strong foundation in machine learning, deep learning, and LLMs is essential. Proficiency with Vertex AI tools such as AutoML, Pipelines, Model Registry, and GenAI Studio is required. Strong Python skills with knowledge of TensorFlow, PyTorch, Hugging Face, and scikit-learn are also crucial. Experience in prompt engineering, model tuning, and evaluation, along with excellent collaboration and communication skills across cross-functional teams, are key attributes we are looking for. Additionally, familiarity with PaLM, Gemini, or other open-source LLMs, knowledge of LangChain, experience with GCP services like BigQuery, Cloud Functions, Cloud Storage, proficiency in CI/CD for ML, and understanding of Docker/Kubernetes are considered as bonus skills. A background in media/OTT/Web platforms and experience with large-scale media datasets would be advantageous for this role.,

Looking 2+yr of Exp. as a AI Developer Candidate must have work exp. on AI tools. Working Days:- 6 Days in week & WFO Interested can share CV on hrd@itdoseinfo.com or whatsapp on 9289552164

Business Analyst Lead | GenAI Strategy & Implementation | 7-10 Years of Experience Locations Open To: Gurgaon | Noida Seasoned Business Analyst Lead with 7-10 years of experience driving the adoption and operationalization of Generative AI technologies within enterprise environments. Proven ability to bridge the gap between cutting-edge innovationssuch as LLMs, RAG systems, and AI agentsand measurable business value. GenAI & Technical Expertise: Hands-on with LangChain, LlamaIndex, and RAG architectures; experience fine-tuning models using LoRA and working with vector DBs. Proficient in GenAI platforms including Azure OpenAI Studio, GCP Vertex AI, and Hugging Face. Familiar with synthetic data tools (Gretel, Mostly AI); skilled in validating data quality using SQL and Python. Business Analysis & Use Case Delivery: Skilled in identifying high-impact GenAI use cases across domains like content automation, customer service, and synthetic data generation. Expert in user story mapping for complex agent workflows (AutoGen, CrewAI) and BPMN process modeling for AI-human interaction. Conducts detailed cost-benefit analyses (e.g., GPT-4 Enterprise vs. open-source models) to inform build-vs-buy decisions. Requirements Engineering & Governance: Defines GenAI-specific NFRs including hallucination thresholds, latency SLAs, and ethical safeguards (bias, PII). Documents prompt engineering playbooks and iteration workflows to support scalable solution development. Establishes performance frameworks: token cost metrics, user trust scores, model drift alerts, and audit mechanisms aligned to regulatory standards (e.g., EU AI Act). Stakeholder Enablement: Converts technical GenAI potential into tangible business outcomes—such as reducing support costs by 30% or halving contract turnaround times with AI tools. Manages stakeholder expectations around the probabilistic nature of GenAI, implementing robust fact-checking and feedback loops.

Job Application Link: https://app.fabrichq.ai/jobs/f29e2342-c5c2-488a-93ca-bd0bbb62d369 Job Summary: Experienced AI Engineer with expertise in machine learning, deep learning, and AI model development. Responsible for designing, implementing, and deploying AI/ML solutions in production environments. Will collaborate with cross-functional teams to develop cutting-edge AI systems that drive business value. Key Responsibilities Design, develop, and deploy machine learning and deep learning models for real-world applications Optimize and fine-tune AI models for performance, scalability, and efficiency Work with large datasets, including data preprocessing, feature engineering, and model training Implement NLP, computer vision, reinforcement learning, or generative AI solutions based on business needs Collaborate with data engineers to build scalable ML pipelines and integrate AI models into production systems Stay updated with the latest advancements in AI/ML research and apply them to solve business challenges Conduct A/B testing, model validation, and performance monitoring to ensure robustness Work with cloud platforms (AWS, GCP, Azure) and AI/ML tools (TensorFlow, PyTorch, Hugging Face, LangChain, etc.) Mentor junior engineers and contribute to technical decision-making Skills & Requirements Must Have Skills Python programming and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) Deep learning architectures (CNNs or RNNs or Transformers or GANs) Generative AI (Diffusion models, LLM fine-tuning, RAG) NLP (BERT, GPT, LLMs) 3+ years of experience