299 Hugging Face Jobs - Page 9

You are looking for a visionary and strategic leader to assume the role of GEN AI Practice Head at our organization. In this position, you will be responsible for driving innovation, leading the development of cutting-edge generative AI solutions, and overseeing the end-to-end delivery of AI projects. Your primary objective will be to build and scale the GenAI practice in alignment with business objectives, expanding market presence, and contributing to organizational growth in AI-driven technologies. Your responsibilities will include formulating and executing the vision, strategy, and roadmap for the GenAI practice while establishing thought leadership through the identification of emerging trends and use cases in Generative AI. Additionally, you will define and standardize GenAI frameworks, methodologies, and best practices for project delivery, and build partnerships with AI technology providers, startups, and academic institutions. As the Gen AI Practice Head, you will lead the design and development of scalable GenAI-based solutions, including NLP models, image/video synthesis, and creative AI applications. Your role will also involve overseeing the selection of tools, platforms, and frameworks such as OpenAI, Hugging Face, and Google Vertex AI to ensure that solutions meet client requirements in scalability, performance, and ethical AI considerations. Furthermore, you will be responsible for building, mentoring, and managing a high-performing team of data scientists, machine learning engineers, and AI consultants. By fostering a culture of innovation, collaboration, and continuous learning within the team, you will drive initiatives to upskill and reskill teams on generative AI technologies and industry best practices. Collaboration with business development teams to identify opportunities, pitch GenAI solutions, and onboard new clients will be a key aspect of your role. You will also ensure the successful delivery of GenAI projects with a focus on quality, timelines, and client satisfaction, acting as a trusted advisor to clients by providing thought leadership on generative AI strategies and solutions. Financial and operational excellence will be crucial, as you will own P&L responsibility for the GenAI practice. Defining and tracking KPIs to measure practice success and client ROI, driving operational efficiencies to optimize costs, delivery timelines, and resource utilization are essential components of this role. To excel in this position, you must have strong expertise in Generative AI, NLP, transformers (e.g., GPT, BERT), and diffusion models. Hands-on experience with AI/ML frameworks and tools like TensorFlow, PyTorch, OpenAI, or Hugging Face is required. A proven track record in designing and deploying large-scale AI/ML solutions, experience across industries, and a solid understanding of cloud platforms (AWS, Azure, Google Cloud) for deploying AI solutions will be beneficial. Exceptional communication, problem-solving, and decision-making skills are essential for success in this role. Key Skills: OpenAI, GPT models, Hugging Face, PyTorch, LangChain, Diffusion Models,

As a high-impact AI/ML Engineer, you will lead the design, development, and deployment of machine learning and AI solutions across vision, audio, and language modalities. You will be an integral part of a fast-paced, outcome-oriented AI & Analytics team, collaborating with data scientists, engineers, and product leaders to translate business use cases into real-time, scalable AI systems. Your responsibilities in this role will include architecting, developing, and deploying ML models for multimodal problems encompassing vision, audio, and NLP tasks. You will be responsible for the complete ML lifecycle, from data ingestion to model development, experimentation, evaluation, deployment, and monitoring. Leveraging transfer learning and self-supervised approaches where appropriate, you will design and implement scalable training pipelines and inference APIs using frameworks like PyTorch or TensorFlow. Collaborating with MLOps, data engineering, and DevOps teams, you will operationalize models using technologies such as Docker, Kubernetes, or serverless infrastructure. Continuously monitoring model performance and implementing retraining workflows to ensure sustained accuracy over time will be a key aspect of your role. You will stay informed about cutting-edge AI research and incorporate innovations such as generative AI, video understanding, and audio embeddings into production systems. Writing clean, well-documented, and reusable code to support agile experimentation and long-term platform development is an essential part of this position. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field, with a minimum of 5-8 years of experience in AI/ML Engineering, including at least 3 years in applied deep learning. In terms of technical skills, you should be proficient in Python, with knowledge of R or Java being a plus. Additionally, you should have expertise in ML/DL Frameworks like PyTorch, TensorFlow, and Scikit-learn, as well as experience in Computer Vision tasks such as image classification, object detection, OCR, segmentation, and tracking. Familiarity with Audio AI tasks like speech recognition, sound classification, and audio embedding models is also desirable. Strong capabilities in Data Engineering using tools like Pandas, NumPy, SQL, and preprocessing pipelines for structured and unstructured data are required. Knowledge of NLP/LLMs, Cloud & MLOps services, deployment & infrastructure technologies, and CI/CD & Version Control tools are also beneficial. Soft skills and competencies that will be valuable in this role include strong analytical and systems thinking, effective communication skills to convey models and results to non-technical stakeholders, the ability to work cross-functionally with various teams, and a demonstrated bias for action, rapid experimentation, and iterative delivery of impact.,

As a Senior Data Scientist, you will utilize your extensive experience and expertise in AI/ML technologies to drive innovation and solve real-world problems. Your responsibilities will include designing, developing, and optimizing recommendation systems to enhance user experience, building advanced NLP chatbots for automating customer interactions, leading Generative AI solutions, and applying Large Language Models like GPT and BERT to create innovative business-specific solutions. Collaboration with cross-functional teams is key as you integrate machine learning models into production systems, perform data exploration and feature engineering, and stay updated on the latest advancements in AI and ML technologies. Mentoring junior data scientists and engineers, collaborating with product managers and business stakeholders, and ensuring ethical and responsible model development are also crucial aspects of this role. To excel in this position, you should have 5+ years of experience in data science or machine learning, with strong expertise in recommendation systems, chatbots, Generative AI, and Large Language Models. Proficiency in machine learning frameworks like TensorFlow and PyTorch, as well as experience with cloud platforms and data pipelines, will be essential. Your problem-solving skills, statistical knowledge, and ability to convey technical concepts to non-technical stakeholders will further contribute to your success in this role. Joining our rapidly growing product-based company will provide you with the opportunity to collaborate with a talented team, work on high-quality software solutions, and enjoy a competitive compensation and benefits package. If you are passionate about AI/ML technologies and eager to make a significant impact, this role offers an exciting and rewarding career opportunity.,

You will be part of a team that is redefining how children explore and learn in a connected world. The mission is to create smart experiences for kids that encourage curiosity, critical thinking, and independence. As the Founding AI Engineering Lead, you will have a pivotal role in bringing this mission to fruition right from the beginning. Your responsibilities will include designing and architecting the AI/ML stack, setting the technical direction of the company, fine-tuning large language models (LLMs) for child-friendly interactions, training LLMs on multimodal datasets, evaluating different models for performance and scalability, prototyping conversational behaviors, implementing trustworthy AI practices, ensuring data security and privacy compliance, building ML pipelines with MLOps best practices, planning for scalability across different environments, and collaborating with business stakeholders to translate requirements into technical specifications. To excel in this role, you should have at least 5 years of experience in AI/ML/NLP, with a focus on LLMs for at least 1 year. You should also possess a proven track record of fine-tuning, training, and optimizing LLMs, a deep understanding of transformer architectures, attention mechanisms, and generative models, strong Python skills with experience in PyTorch, Hugging Face, TensorFlow, and Weights & Biases, familiarity with LLM orchestration frameworks, cloud platforms, privacy-preserving techniques, alignment techniques, MLOps tooling, and containerization, along with the ability to work independently and in a fast-paced, early-stage environment. Additionally, having experience in building conversational agents, interactive storytelling tools, or child-facing applications, familiarity with speech-to-text, voice synthesis, or multimodal learning, knowledge of retrieval-augmented generation and regulatory frameworks, will be considered as bonus points. Joining this team will give you the opportunity to define the future of child-safe AI right from the beginning, influence all aspects of the product and technical stack, collaborate with a passionate and visionary team, and have ownership and long-term impact.,

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

We are hiring an experienced AI Engineer / ML Specialist with deep expertise in Large Language Models (LLMs), who can fine-tune, customize, and integrate state-of-the-art models like OpenAI GPT, Claude, LLaMA, Mistral, and Gemini into real-world business applications. The ideal candidate should have hands-on experience with foundation model customization, prompt engineering, retrieval-augmented generation (RAG), and deployment of AI assistants using public cloud AI platforms like Azure OpenAI, Amazon Bedrock, Google Vertex AI, or Anthropics Claude. Key Responsibilities: LLM Customization & Fine-Tuning Fine-tune popular open-source LLMs (e.g., LLaMA, Mistral, Falcon, Mixtral) using business/domain-specific data. Customize foundation models via instruction tuning, parameter-efficient fine-tuning (LoRA, QLoRA, PEFT), or prompt tuning. Evaluate and optimize the performance, factual accuracy, and tone of LLM responses. AI Assistant Development Build and integrate AI assistants/chatbots for internal tools or customer-facing applications. Design and implement Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, LlamaIndex, Haystack, or OpenAI Assistants API. Use embedding models, vector databases (e.g., Pinecone, FAISS, Weaviate, ChromaDB), and cloud AI services. Must have experience of finetuning, and maintaining microservices or LLM driven databases. Cloud Integration Deploy and manage LLM-based solutions on AWS Bedrock, Azure OpenAI, Google Vertex AI, Anthropic Claude, or OpenAI API. Optimize API usage, performance, latency, and cost. Secure integrations with identity/auth systems (OAuth2, API keys) and logging/monitoring. Evaluation, Guardrails & Compliance Implement guardrails, content moderation, and RLHF techniques to ensure safe and useful outputs. Benchmark models using human evaluation and standard metrics (e.g., BLEU, ROUGE, perplexity). Ensure compliance with privacy, IP, and data governance requirements. Collaboration & Documentation Work closely with product, engineering, and data teams to scope and build AI-based solutions. Document custom model behaviors, API usage patterns, prompts, and datasets. Stay up-to-date with the latest LLM research and tooling advancements. Required Skills & Qualifications: Bachelors or Masters in Computer Science, AI/ML, Data Science, or related fields. 3-6+ years of experience in AI/ML, with a focus on LLMs, NLP, and GenAI systems. Strong Python programming skills and experience with Hugging Face Transformers, LangChain, LlamaIndex. Hands-on with LLM APIs from OpenAI, Azure, AWS Bedrock, Google Vertex AI, Claude, Cohere, etc. Knowledge of PEFT techniques like LoRA, QLoRA, Prompt Tuning, Adapters. Familiarity with vector databases and document embedding pipelines. Experience deploying LLM-based apps using FastAPI, Flask, Docker, and cloud services. Preferred Skills: Experience with open-source LLMs: Mistral, LLaMA, GPT-J, Falcon, Vicuna, etc. Knowledge of AutoGPT, CrewAI, Agentic workflows, or multi-agent LLM orchestration. Experience with multi-turn conversation modeling, dialogue state tracking. Understanding of model quantization, distillation, or fine-tuning in low-resource environments. Familiarity with ethical AI practices, hallucination mitigation, and user alignment. Tools & Technologies: Category Tools & Platforms LLM Frameworks Hugging Face, Transformers, PEFT, LangChain, LlamaIndex, Haystack LLMs & APIs OpenAI (GPT-4, GPT-3.5), Claude, Mistral, LLaMA, Cohere, Gemini, Azure OpenAI Vector Databases FAISS, Pinecone, Weaviate, ChromaDB Serving & DevOps Docker, FastAPI, Flask, GitHub Actions, Kubernetes Deployment Platforms AWS Bedrock, Azure ML, GCP Vertex AI, Lambda, Streamlit Monitoring Prometheus, MLflow, Langfuse, Weights & Biases

You will be joining a forward-thinking team at Tecblic, a company specializing 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 welcome you to be a part of our innovative team. As a Machine Learning Engineer at Tecblic, your key responsibilities will include conducting research and development to design and fine-tune machine learning models, with a specific focus on LLMs and Agentic AI systems. You will be responsible for optimizing pre-trained LLMs for domain-specific use cases, collaborating with software engineers and product teams to integrate AI models into customer-facing applications, and performing data preprocessing, pipeline creation, feature engineering, and exploratory data analysis for dataset preparation. Additionally, you will design and implement model deployment pipelines, prototype innovative solutions using cutting-edge techniques, and provide technical mentorship to junior team members. In terms of core technical skills, we require proficiency in Python for machine learning and data science tasks, expertise in ML frameworks and libraries like PyTorch, TensorFlow, and Hugging Face, a solid understanding of LLMs such as GPT, T5, BERT, or Bloom, experience in NLP tasks, knowledge of deep learning architectures, strong data manipulation skills, and familiarity with cloud services and ML model deployment tools. Exposure to Agentic AI, MLOps tools, generative AI models, prompt engineering, few-shot/fine-tuned approaches for LLMs, vector databases, version control, and collaborative development practices would be considered advantageous. Furthermore, we are looking for individuals with a strong analytical and mathematical background, including proficiency in linear algebra, statistics, and probability, as well as a solid understanding of algorithms and data structures to solve complex ML problems. Soft skills such as excellent problem-solving, critical-thinking, communication, collaboration, self-motivation, and continuous learning mindset are also highly valued. If you are ready to contribute your expertise and passion for machine learning and AI to a dynamic and innovative team, Tecblic is the place for you. Join us in pushing the boundaries of technology and creating impactful AI-driven solutions for businesses in the digital era.,

You are an experienced OCI AI Architect who will be responsible for leading the design and deployment of Gen AI, Agentic AI, and traditional AI/ML solutions on Oracle Cloud. Your role will involve a deep understanding of Oracle Cloud Architecture, Gen AI, Agentic and AI/ML frameworks, data engineering, and OCI-native services. The ideal candidate will possess a combination of deep technical expertise in AI/ML and Gen AI over OCI along with domain knowledge in Finance and Accounting. Your key responsibilities will include designing, architecting, and deploying AI/ML and Gen AI solutions on OCI using native AI services, building agentic AI solutions using frameworks such as LangGraph, CrewAI, and AutoGen, leading the development of machine learning AI/ML pipelines, and providing technical guidance on MLOps, model versioning, deployment automation, and AI governance. You will collaborate with functional SMEs, application teams, and business stakeholders to identify AI opportunities, advocate for OCI-native capabilities, and support customer presentations and solution demos. To excel in this role, you should have 10-15 years of experience in Oracle Cloud and AI, with at least 5 years of proven experience in designing, architecting, and deploying AI/ML & Gen AI solutions over OCI AI stack. Strong Python development experience, knowledge of LLMs such as Cohere and GPT, proficiency in AI/ML/Gen AI frameworks like TensorFlow, PyTorch, Hugging Face, and hands-on experience with OCI services are required. Additionally, skills in AI governance, Agentic AI frameworks, AI architecture principles, and leadership abilities are crucial for success. Qualifications for this position include Oracle Cloud certifications such as OCI Architect Professional, OCI Generative AI Professional, OCI Data Science Professional, as well as a degree in Computer Science or MCA. Any degree or diploma in AI would be preferred. Experience with front-end programming languages, Finance domain solutions, Oracle Cloud deployment, and knowledge of Analytics and Data Science would be advantageous. If you are a highly skilled and experienced OCI AI Architect with a passion for designing cutting-edge AI solutions on Oracle Cloud, we invite you to apply and join our team for this exciting opportunity.,

As a NLP & Generative AI Engineer at Gigaforce, you will be part of our dynamic AI/ML team based in Noida, working on cutting-edge technologies to revolutionize the insurance claims processing industry. We are a California-based InsurTech company with a strong focus on innovation and digital transformation in the Property and Casualty sector. You must have a minimum of 2 years of hands-on experience in traditional machine learning, natural language processing, and modern generative AI techniques to be considered for this role. We are looking for individuals who are passionate about deploying GenAI solutions to production, working with open-source technologies, and handling document-centric pipelines efficiently. Your main responsibilities will include building and deploying NLP and GenAI-driven products focusing on document understanding, summarization, classification, and retrieval. You will be designing and implementing models using LLMs such as GPT, T5, and BERT, along with working on scalable, cloud-based pipelines for training, serving, and monitoring models. Collaboration is key at Gigaforce, and you will work closely with cross-functional teams including data scientists, ML engineers, product managers, and developers. Additionally, you will contribute to open-source tools and frameworks in the ML ecosystem, deploying production-ready solutions using MLOps practices, and working on distributed/cloud systems with GPU-accelerated workflows. To be successful in this role, you should have a strong grasp of traditional ML algorithms, NLP fundamentals, and modern NLP & GenAI models. Proficiency in Python, experience with cloud platforms like AWS SageMaker, GCP, or Azure ML, and familiarity with MLOps tools and distributed computing are essential. Experience with document processing pipelines and understanding insurance-related documents is a plus. If you are looking for a challenging role where you can lead the design, development, and deployment of innovative AI/ML solutions in the insurance industry, then this position at Gigaforce is the perfect opportunity for you. Join us in our mission to transform the claims lifecycle into an intelligent, end-to-end digital experience.,

Position Summary: We are looking for a visionary and deeply experienced Principal Data Scientist with 15+ years of experience in advanced data science and machine learning, and proven leadership in Generative AI (GenAI) . You will be responsible for conceptualizing and delivering high-impact AI solutions using large language models (LLMs), diffusion models, and other GenAI techniques, while also mentoring teams and influencing AI strategy across the organization. Key Responsibilities: AI Strategy & Leadership Drive the strategic direction of Generative AI initiatives aligned with business objectives. Evaluate, prototype, and implement GenAI technologies (e.g., GPT, Claude, LLaMA, Stable Diffusion). Serve as an AI thought leader, influencing executive decision-making and shaping the company's AI roadmap. Model Development & Deployment Design and build advanced GenAI solutions, including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG). Lead the end-to-end development and deployment of ML/GenAI models into production environments. Develop scalable architectures for serving LLMs and other foundation models. Research & Innovation Stay at the forefront of GenAI advancements by engaging with academic research, open-source communities, and industry forums. Contribute to internal AI research initiatives and explore novel applications of generative models. Publish whitepapers, patents, or present at top AI conferences as applicable. Cross-functional Collaboration Collaborate closely with data engineering, product, design, and business stakeholders to translate complex needs into AI-powered solutions. Educate teams on the capabilities, limitations, and ethical considerations of GenAI. Mentorship & Governance Mentor and coach junior and mid-level data scientists. Establish best practices for model governance, ethical AI, bias mitigation, and model explainability. Define frameworks for AI evaluation, monitoring, and lifecycle management. Required Qualifications: 15+ years of experience in data science, machine learning, or artificial intelligence. Demonstrated expertise in building and deploying GenAI solutions, particularly with large-scale language and vision models. Deep knowledge of ML/DL frameworks (e.g., PyTorch, TensorFlow, Hugging Face, LangChain). Strong programming skills in Python and experience with cloud-based ML platforms (AWS SageMaker, Azure ML, Vertex AI). Strong grounding in statistics, probability, optimization, and deep learning theory. Experience working with multimodal data (text, image, audio, video) and advanced NLP/NLG techniques. Preferred Qualifications: Ph.D. or Master's in Computer Science, Machine Learning, Mathematics, or related field. Experience with enterprise applications of GenAI (e.g., content generation, synthetic data, co-pilots, document understanding). Familiarity with MLOps and AI model lifecycle management in production environments. Knowledge of AI regulations, data privacy, and responsible AI frameworks.

MediaMint is looking for a strategic and visionary Functional Lead for Delivery Excellence & Process Transformation. In this role, you will be responsible for modernizing legacy operations, eliminating client escalations, and driving data-led transformation initiatives across the global delivery ecosystem. You will play a key role in redesigning operational workflows, implementing automation and AI, and establishing performance governance frameworks for over 2500 delivery resources across Ad Operations, SEO, Programmatic, and Campaign Management service lines. The ideal candidate will possess expertise in process excellence, digital marketing operations, AI-led transformation, and cross-functional change leadership. Reporting directly to the SVP Operations/CDO, you will collaborate closely with technology, client services, and delivery leaders. Key Responsibilities: 1. End-to-End Process Transformation: - Utilize Lean Six Sigma methodologies to re-engineer client-facing workflows and aim for a 30%+ reduction in non-value-added activities. - Standardize SOPs, quality control measures, and compliance frameworks across 15+ digital marketing functions. 2. Data-Driven Performance Governance: - Develop real-time dashboards to monitor operational KPIs by service line, client, and geography. - Enhance data infrastructure to ensure 100% transaction-level accuracy in client-facing reporting. 3. Automation & AI Integration: - Identify and implement automation solutions using Python scripts, RPA tools, and open-source AI frameworks to automate at least 20% of manual workflows. - Pilot generative AI applications in campaign QA, anomaly detection, SOP generation, and insights summarization. 4. Business Excellence Framework: - Define and implement KPIs for workflow efficiency, error rates, SLA compliance, and client satisfaction. - Conduct monthly operational reviews to identify performance gaps and prevent client escalations. 5. Team Leadership & Capability Building: - Lead and mentor a team of 57 Business Analysts in executing audits, root cause analysis, and process optimization. - Train 250+ operational leads on lean methodologies, data-driven operations, and client maturity frameworks. - Drive cultural adoption of continuous improvement through engagement with operations leadership. Core Competencies: - Technical Mastery: Lean Six Sigma Black Belt, SQL, Power BI, Google Ads, RPA tools. - Leadership & Strategic Impact: Change agent, understanding of client maturity models, bridging Operations, Technology, and Client Services. - Execution Rigor: Advanced analytics capability, scalable mindset for global deployment. Qualifications: - Education: MBA or Masters in Operations, Business Analytics, or Data Science. - Experience: 10+ years in Business Excellence, Process Transformation, or Operational Strategy with 5+ years in third-party delivery environments. - Domain Exposure: Preferred background in Media, Retail, or Digital Marketing client operations. Certifications: - Lean Six Sigma Black Belt / Master Black Belt. - PMP / Agile Scrum. - Certification in Generative AI or Automation Frameworks (preferred). Why Join MediaMint - Own the Transformation: Shape the operational foundation of a global DMaaS organization. - Tech-Driven Impact: Lead innovation through AI, automation, and process re-engineering. - Leadership Visibility: Engage directly with the C-suite and global clients in Retail, Media, and Entertainment sectors.,

You are a highly experienced Senior Python & AI Engineer who will lead the development of innovative AI/ML solutions. Your strong background in Python programming, deep learning, machine learning, and proven leadership skills will drive the team towards delivering high-quality AI systems. You will architect solutions, define technical strategies, mentor team members, and ensure timely project deliveries. In the technical realm, you will be responsible for designing and implementing scalable AI/ML systems and backend services using Python. Your role includes overseeing the development of machine learning pipelines, APIs, and model deployment workflows. Reviewing code, establishing best practices, and maintaining technical quality across the team will be key aspects of your responsibilities. As a team leader, you will guide data scientists, ML engineers, and Python developers, providing mentorship, coaching, and conducting performance evaluations. You will facilitate agile practices such as sprint planning, daily stand-ups, and retrospectives. Collaboration with cross-functional teams, including product, QA, DevOps, and UI/UX, will be essential for timely feature deliveries. In AI/ML development, you will develop and optimize models for NLP, computer vision, or structured data analysis based on project requirements. Implementing model monitoring, drift detection, and retraining strategies will contribute to the success of AI initiatives. You will work closely with product managers to translate business needs into technical solutions and ensure the end-to-end delivery of features meeting performance and reliability standards. Your technical skills should include over 5 years of Python experience, 2+ years in AI/ML projects, a deep understanding of ML/DL concepts, and proficiency in frameworks like PyTorch, TensorFlow, and scikit-learn. Experience with deployment tools, cloud platforms, and CI/CD pipelines is required. Leadership qualities such as planning, estimation, and effective communication are also crucial, with at least 3 years of experience leading engineering or AI teams. Preferred qualifications include a Masters or PhD in relevant fields, exposure to MLOps practices, and familiarity with advanced AI technologies. Prior experience in fast-paced startup environments is a plus. In return, you will have the opportunity to spearhead cutting-edge AI initiatives, face diverse challenges, enjoy autonomy, and receive competitive compensation with performance-based incentives.,

We are looking for a skilled and motivated Data Scientist with a strong background in backend development and AI/ML engineering. The ideal candidate should have experience in constructing, deploying, and expanding machine learning solutions using Python and modern ML frameworks. Responsibilities: - Develop and implement machine learning models, including advanced architectures like Large Language Models (LLMs). - Collaborate with various teams to create scalable AI-driven solutions using sound software engineering principles. - Utilize Python and object-oriented programming to build efficient, maintainable, and production-grade ML pipelines. - Work with popular ML frameworks such as TensorFlow, PyTorch, and Scikit-learn for model development and testing. - Integrate AI/ML models into applications via RESTful APIs while ensuring performance, scalability, and reliability. - Use tools like Hugging Face, LangChain, and OpenAI APIs for NLP and generative AI model development. - Manage containerized services using Docker for seamless deployment and reproducibility of ML solutions. - Follow best practices in version control (Git) and software development lifecycles to support collaborative and agile workflows. - Develop and maintain relational databases (e.g., MySQL, PostgreSQL, Oracle) to support data-driven applications. - Contribute to microservices-based architectures for AI/ML systems. - Apply agent communication protocols and multi-agent system design in relevant AI applications. - Analyze large datasets, extract actionable insights, and continuously improve models. Required Skills and Qualifications: - Minimum 4 years of experience in data science, machine learning, or backend development. - Proficiency in Python and solid foundations in object-oriented programming. - Hands-on experience with the entire machine learning model lifecycle, from training to production deployment and monitoring. - Understanding of scalable system design and microservices architecture. - Strong problem-solving skills, attention to detail, and knowledge of data structures and algorithms. - Excellent communication and collaboration abilities, with a knack for working in a dynamic team setting. Preferred Qualifications: - Expertise in Generative AI, particularly with Large Language Models (LLMs) like GPT and LLaMA. - Proficiency in prompt engineering, fine-tuning LLMs, and evaluating AI model performance. - Familiarity with AI system architecture, including orchestration frameworks and agent-based designs. - Experience with advanced AI tools, platforms, and APIs for scalable systems. - Strong communication skills and proven track record of effective collaboration in cross-disciplinary teams. - Knowledge of ethical AI principles, including model interpretability, fairness, responsible AI deployment, and ongoing monitoring.,

We are looking for a skilled Generative AI Developer to be a part of our team and contribute to the development of advanced generative models. In this role, you will focus on creating AI systems that have the ability to produce innovative and human-like content across various domains such as natural language generation, image generation, and even video or music synthesis. To excel in this position, you should possess expertise in machine learning, deep learning, and natural language processing, along with a thorough understanding of specific generative models like GANs, VAEs, and other neural networks. Your responsibilities will involve developing and refining generative models using techniques such as GANs, VAEs, Transformers, and Diffusion models. You will also be working on tasks related to text generation, image generation, music or sound generation, video creation, and other creative AI applications. Furthermore, you will be expected to design, construct, and deploy models utilizing frameworks like TensorFlow, PyTorch, Hugging Face, OpenAI's GPT, or similar tools. It will be crucial to optimize AI models for performance, accuracy, and scalability in real-world production environments. Staying updated on the latest trends, research papers, and breakthroughs in the field of generative AI will also be a part of your role. Collaboration with other teams, such as data scientists, machine learning engineers, and product teams, to integrate models into production systems will be essential. Additionally, you will work on data preprocessing, augmentation, and designing pipelines to ensure high-quality input for model training. Documenting your code, processes, and model outputs for team-wide visibility and knowledge sharing will also be a key aspect of your responsibilities. **Required Qualifications & Skills:** - Bachelor's or Master's degree in Computer Science or related fields. - 3-4 years of hands-on experience in developing Generative AI solutions. - Strong understanding of deep learning algorithms, particularly in generative models like GANs, VAEs, Diffusion models, or large-scale language models like GPT. - Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face. - Experience working with neural networks, unsupervised learning, and natural language processing. - Proficient programming skills in Python, including deep learning libraries like TensorFlow, Keras, and PyTorch. - Familiarity with cloud platforms (AWS, GCP, or Azure) for model training and deployment. - Solid mathematical and statistical knowledge, especially in probability theory, linear algebra, and optimization. - Experience in large-scale model training, fine-tuning, or distributed computing. - Knowledge of reinforcement learning and self-supervised learning. - Understanding of AI ethics, bias mitigation, and interpretability in generative models.,

As an AI Developer, you will be responsible for designing and developing AI/ML models to enhance natural language understanding, intelligent automation, and real-time decision-making through the implementation of NLP, LLMs, and RAG techniques. Your primary focus will involve collaborating with cross-functional teams to seamlessly integrate AI models into various platforms, ensuring scalability, accuracy, and efficiency. In this role, you will actively support training and development programs across India, which may require traveling to client locations, academic institutions, and partner sites as necessary. Additionally, you will be tasked with continuously testing, refining, and documenting AI systems utilizing tools such as Python, TensorFlow, Hugging Face, and cloud services. Furthermore, you will engage in knowledge sharing initiatives, conduct technical workshops, and deliver on-site demos to showcase AI solutions and drive their adoption within the organization. This role is a full-time position with a day shift schedule and requires a Bachelor's degree as the preferred educational qualification. To be successful in this position, you should have a total of 1 year of experience, with specific expertise as an AI Developer for at least 1 year. The work location for this role is in person. In addition to a competitive salary, the benefits package includes cell phone reimbursement, provided meals, health insurance, paid sick time, and Provident Fund contributions.,

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.,