26 Transformer Architectures Jobs

You should have 5 to 7 years of experience in Data Science or Machine Learning roles. Your proven ability should cover working on end-to-end ML projects, from research to production. It is essential to conduct in-depth machine learning research and stay updated with state-of-the-art advancements, including reading, interpreting, and implementing research papers, especially in the Generative AI domain. Your responsibilities will also include mentoring and guiding junior data scientists and interns in executing real-world projects. You should be able to design and build machine learning and deep learning models to solve complex business challenges. Working collaboratively across teams to turn data into decisions and models into products is a crucial aspect of the role. Having a strong foundation in Statistics and Probability is essential. You should also possess advanced proficiency in Python for data science and ML workflows. Hands-on experience with key libraries such as Scikit-learn, Keras, TensorFlow, and PyTorch is required. Expertise in core ML algorithms like Linear/Logistic Regression, Decision Trees, Gradient Descent, and SVMs is expected. Deep familiarity with Transformer architectures and working with Large Language Models (LLMs) is a plus. Experience with frameworks like Langchain or LlamaIndex for building LLM-based applications will be beneficial. Your ability to turn theoretical models into production-ready code with clarity and precision is highly valued in this role.,

You will be part of our team as a Researcher at Infosys Applied AI research team. Your role will involve designing, developing, and training transformer-based models for multiple-modality to support various AI-powered applications. You will experiment with different architectures, training techniques, and optimization methods to enhance the models" understanding and generative capabilities. Additionally, you will be responsible for innovating robust and scalable architectures to meet future requirements and troubleshooting model issues to ensure their robustness and adaptability. To qualify for this position, you should have at least 8 years of experience and hold a Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related fields (Ph.D. preferred). You must have proven experience in training models, particularly text and multi-modal models, along with a strong knowledge of transformer architectures and their underlying principles. Experience with model pre-training, fine-tuning, and distributed training is essential. Moreover, having one or more scientific publication submissions for conferences, journals, or public repositories (e.g., ICML, ICLR, NeurIPS) will be advantageous. By joining our team, you will have the opportunity to work on cutting-edge projects that are at the forefront of artificial intelligence. You will play a crucial role in contributing to groundbreaking advancements in NLP and AI while working in an innovative and dynamic environment. We offer competitive compensation and benefits package, along with a flexible work environment. While Bangalore is preferred, we are open to considering candidates from multiple locations in India.,

Key Deliverables Lead R&D initiatives in generative AI and novel model development. Collaborate with engineering and product teams to embed AI into products. Publish impactful research and drive academic engagement. Mentor research staff and cultivate a strong innovation culture. Role Responsibilities Architect and implement next-gen generative models (LLMs, diffusion, etc). Stay ahead of AI advancements and propose innovation opportunities. Translate cutting-edge research into scalable applications. Drive efficiency in LLM operations and model inference at scale.

As an individual contributor at Adobe, you will play a pivotal role in driving innovation and shaping the future of digital experiences. Adobe is dedicated to fostering a work environment where every employee is valued, respected, and provided with equal opportunities. Your insights and ideas are highly valued as we strive to build exceptional products and services that cater to a global audience. The opportunity at hand involves working on a cutting-edge Component Content Management System that powers structured content for large enterprises. In this role, you will collaborate with cross-functional teams to identify key project interfaces and implement complex Machine Learning (ML) solutions using technologies such as Natural Language Processing (NLP), Generative AI, and Transformer architectures. Your responsibilities will include developing, evaluating, and deploying scalable ML models, monitoring their performance, and continuously enhancing Adobe's products and services. To excel in this role, you should possess a master's degree or equivalent experience in Machine Learning, with a minimum of 10 years of combined industry experience in ML, software engineering, and data engineering. Proficiency in Python, ML frameworks like PyTorch and TensorFlow, as well as strong programming skills in languages such as Python and Java, are essential. Additionally, you should have a solid understanding of ML Ops, data analysis, and mining using frameworks like Hadoop and Spark. Your ability to drive innovation, collaborate effectively, and adapt to an ever-evolving technological landscape will be crucial in this role. Strong problem-solving skills, excellent communication abilities, and a passion for staying abreast of the latest technological advancements are highly valued. In this dynamic and fast-paced environment, you will have the opportunity to contribute to the growth and success of Adobe while working alongside a diverse and inclusive team. If you are seeking a challenging yet rewarding opportunity to make a significant impact, Adobe is the place for you. Join us in creating exceptional digital experiences and pushing the boundaries of innovation. Explore the possibilities of a career at Adobe by updating your profile and applying for roles that align with your expertise and aspirations. Your journey towards professional growth and accomplishment starts here.,

You will be joining a European-based MNC that is transitioning its operations to Bangalore in a Hybrid work mode. As part of the team, you will need to demonstrate expertise in Core Machine Learning & Deep Learning. This includes a solid grasp of Transformer architectures such as ViT, CLIP, and BERT, as well as experience with contrastive learning techniques like SimCLR, MoCo, and CLIP. Additionally, knowledge of temporal embeddings and sequence modeling for video, fine-tuning large pre-trained models, and a comprehensive understanding of Deep Learning concepts will be essential for this role. Your technical and engineering skills should include proficiency in Python and deep learning frameworks like PyTorch (preferred) or TensorFlow. Familiarity with StreetClip or similar multimodal models, experience with video data pipelines, and the ability to optimize model training and inference for performance and scalability will be key responsibilities. In terms of data and evaluation, you should have experience working with large-scale video datasets such as Kinetics, HowTo100M, etc. Knowledge of evaluation metrics for video understanding and retrieval tasks, familiarity with embedding spaces, similarity metrics, and retrieval systems will also be required. It would be beneficial to have experience with multimodal learning (vision + text), familiarity with distributed training and model deployment, as well as contributions to open-source projects or publications in relevant areas. Ideally, you should hold a degree in Computer Science, Machine Learning, or a related field (Masters or PhD preferred) and have at least 3 years of experience in deep learning or computer vision projects. If you meet these qualifications and skills, please share your profiles at hiring@khey-digit.com.,

Role : AI/ML/DL Specialist Exp Level : 0-2 Years Work Mode : Remote Notice Period : Immediate / 15 Days Role Summary: Were seeking a highly motivated and experienced AI/ML/DL Specialist with a strong foundation in contextual learning and language model development . Youll play a key role in building and training domain-specific models that can understand context, infer meaning, and provide intelligent recommendations including the development of small language models for niche applications. Key Responsibilities: Design and develop contextual AI/ML/DL models for real-world, policy-driven applications Build, train, and fine-tune domain-specific small language models (SLMs) Work closely with data engineers, domain experts, and policy consultants to identify data sources and training strategies Deploy and optimize models for performance, scalability, and accuracy Contribute to the vision and architecture of our AI product roadmap Required Skills & Qualifications: ? Proven experience (0-2 years) in AI/ML/DL model development ? Expertise in contextual learning models, including transformer architectures ? Hands-on experience with building and fine-tuning small language models (e.g., using HuggingFace, PyTorch, TensorFlow) ? Solid programming skills (Python, PyTorch, TensorFlow, etc.) ? Understanding of model deployment, scaling, and inference optimization ? Ability to work in a fast-paced startup or consulting environment ? Strong communication and collaboration skills Desirable: ? Familiarity with open-source LLM tools, tokenization methods, and low-resource domain adaptation ? Experience working with government or public-sector datasets ? Passion for applying AI to real-world social or governance challenges Desirable: ? Familiarity with open-source LLM tools, tokenization methods, and low-resource domain adaptation ? Experience working with government or public-sector datasets ? Passion for applying AI to real-world social or governance challenges Show more Show less

As a Machine Learning Engineer, you will play a key role in developing and enhancing a Telecom Artificial Intelligence Product. This role requires a strong background in machine learning and deep learning, along with extensive experience in implementing advanced algorithms and models to solve complex problems. You will be working on cutting-edge technologies to develop solutions for anomaly detection, forecasting, event correlation, and fraud detection. Your responsibilities will include developing production-ready implementations of proposed solutions using various machine learning and deep learning algorithms. You will test these solutions on live customer data to ensure efficacy and robustness. Additionally, you will research and test novel machine learning approaches for large-scale distributed computing applications. In this role, you will be responsible for implementing and managing the full machine learning operations lifecycle using tools such as Kubeflow, MLflow, AutoML, and Kserve for model deployment. You will develop and deploy machine learning models using PyTorch and TensorFlow to ensure high performance and scalability. Furthermore, you will run and manage PySpark and Kafka on distributed systems with large-scale, non-linear network elements. To excel in this position, you should be proficient in Python programming and experienced with machine learning libraries such as Scikit-Learn and NumPy. Experience in time series analysis, data mining, text mining, and creating data architectures will be beneficial. You should also be able to utilize batch processing and incremental approaches to manage and analyze large datasets. As a Machine Learning Engineer, you will experiment with multiple algorithms, optimizing hyperparameters to identify the best-performing models. You will execute machine learning algorithms in cloud environments, leveraging cloud resources effectively. Continuous feedback gathering, model retraining, and updating will be essential to maintain and improve model performance. Moreover, you should have expertise in network characteristics, transformer architectures, GAN AI techniques, and end-to-end machine learning projects. Experience with leading supervised and unsupervised machine learning methods and familiarity with Python packages like Pandas, Numpy, and DL frameworks like Keras, TensorFlow, PyTorch are required. Knowledge of Big Data tools and environments, as well as MySQL/NoSQL databases, will be advantageous. You will collaborate with cross-functional teams of data scientists, software engineers, and stakeholders to integrate implemented systems into the SaaS platform. Your innovative thinking and creative ideas will contribute to improving the overall platform. Additionally, you will create use cases specific to the domain to solve business problems effectively. Ideally, you should have a Bachelor's degree in Science/IT/Computing or equivalent with at least 4 years of experience in a QA Engineering role. Strong quantitative and applied mathematical skills are essential, along with certification courses in Data Science/ML. In-depth knowledge of statistical techniques, machine learning techniques, and experience with Telecom Product development are preferred. Experience in MLOps is a plus for deploying developed models, and familiarity with scalable SaaS platforms is advantageous for this role.,

As a Lead Machine Learning Data Engineer with 10-15 years of experience, you will be responsible for designing, developing, and optimizing ML models for NLP, CV, and data-driven applications. You will work with transformer architectures, multimodal AI models, and generative AI techniques to implement ML pipelines, including data preprocessing, feature engineering, training, evaluation, and deployment. Your role will involve designing and implementing a Speech LLM-based virtual assistant, along with developing and maintaining Python code for audio capture, encoding, modality fusion, LLM interaction, and text output. Additionally, you will integrate and configure pre-trained models for audio encoding, LLM, and audio decoding, while staying up-to-date with the latest research and advancements in Speech LLMs, audio processing, and related fields. It will be your responsibility to document the system design, code, and experimental results, as well as architect scalable, production-ready ML systems integrating MLOps best practices. You will also set the technical direction, ensuring best practices in AI research, model deployment, and system scalability. This role will require you to work 5 days a week in a hybrid mode, with one week working from the office in a month, in either Bangalore or Chennai. The ideal candidate should be able to join immediately or with a notice period of a maximum of 15 days.,

OnGrid is a rapidly growing digital trust platform in India that specializes in providing verifications, background checks, reference checks, employee/staff onboarding, KYC services, and issuing verified credentials. Founded by IIT-B alumni, OnGrid has successfully completed over 500 million checks and serves 3000+ satisfied clients. The core focus at OnGrid is on redefining and reimagining Trust by leveraging technology to build a digital trust platform that ensures verified credentials are instantly sourced directly from the provider. The team at OnGrid has established the foundational pillars of trust and is now looking to explore uncharted territories and innovative approaches. To drive this vision forward and scale it further, OnGrid is seeking a motivated Senior AI Engineer who possesses experience in developing high-performing, scalable, enterprise-grade applications. If you are a visionary individual who is constantly seeking the right solutions, a technology enthusiast who is eager to enhance their skills, and someone who is passionate about driving impactful change, then you are the ideal candidate OnGrid is looking for. As a Senior AI Engineer at OnGrid, your key responsibilities will include collaborating with product and tech teams to shape and enhance the AI strategy and R&D efforts, contributing to significant AI use cases for both internal and client applications, developing AI/ML solutions for complex problems while upholding ethical standards, conducting research in areas like computer vision, NLP, Gen AI, and deep learning, as well as integrating and optimizing AI models in production systems using real-time data. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science or a related field, with a specialization in Data Science, Machine Learning, or Artificial Intelligence being advantageous. A minimum of 3+ years of practical experience in solving real-world AI challenges is required, focusing on various areas such as Computer Vision, Deep Learning, Object Detection, NLP, Generative AI, RAG, LLMs, and AI agents. Proficiency in Python programming, experience with frameworks like Django and Flask, Java knowledge, familiarity with Microservices Architecture, and exposure to cloud platforms like AWS, Azure, or Google Cloud are desirable qualifications. In terms of technical expertise, the candidate should have hands-on experience with vision models such as YOLO, ResNet, and OCR, expertise in generative AI models and LLMs like Claude, LLaMA, Qwen, Mistral, etc., and proficiency in using frameworks and tools like TensorFlow, PyTorch, LangChain, PydanticAI, OpenCV, Django, Flask, Postman, Docker, Swagger, AWS, and GCP. Furthermore, a strong understanding of GPU-accelerated training, deployment of AI models in production environments, and advanced AI concepts like convolutional neural networks, transformer architectures, and data preparation pipelines is essential. Joining OnGrid provides an opportunity to work in a dynamic and innovative team environment, tackle impactful challenges, shape the future of digital trust and AI technologies, and be part of a collaborative workspace that fosters continuous learning and growth.,

Genpact is a global professional services and solutions firm dedicated to delivering outcomes that shape the future. With over 125,000 employees spread across more than 30 countries, we are characterized by our innate curiosity, entrepreneurial agility, and commitment to creating lasting value for our clients. Our purpose, which is the relentless pursuit of a world that works better for people, drives us to serve and transform leading enterprises, including the Fortune Global 500, by leveraging our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently looking for a Principal Consultant - Data Scientist, specializing in Azure Generative AI & Advanced Analytics. In this role, we are seeking a highly skilled and experienced Data Scientist with hands-on expertise in Azure Generative AI, Document Intelligence, Agentic AI, and Advanced Data Pipelines. Your responsibilities will include developing and optimizing AI/ML models, analyzing complex datasets, and providing strategic recommendations for embedding models and Generative AI applications. You will play a crucial role in driving AI-driven insights and automation within our business. Responsibilities: - Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. - Design, develop, and implement Generative AI solutions leveraging AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services. - Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources. - Build and optimize data pipelines for processing and analyzing large-scale datasets efficiently. - Implement Agentic AI techniques to develop intelligent, autonomous systems that can make decisions and take actions. - Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases. - Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. - Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. - Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. - Ensure model explainability, fairness, and compliance with responsible AI principles. - Stay up to date with the latest advancements in AI, ML, and data science, and apply best practices to enhance business operations. Qualifications: Minimum Qualifications / Skills: - Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field. - Relevant experience in data science, machine learning, AI applications, generative AI prompt engineering, and creating custom models. - Strong proficiency in Python, TensorFlow, PyTorch, PySpark, Scikit-learn, and MLflow. - Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, Azure Data Factory, Data Bricks, RAG Pipeline). - Expertise in LLMs, transformer architectures, and embeddings. - Experience in building and optimizing end-to-end data pipelines. - Familiarity with vector databases, FAISS, Pinecone, and knowledge retrieval techniques. - Knowledge of Reinforcement Learning (RLHF), fine-tuning LLMs, and prompt engineering. - Strong analytical skills with the ability to translate business requirements into AI/ML solutions. - Excellent problem-solving, critical thinking, and communication skills. - Experience with cloud-native AI deployment, containerization (Docker, Kubernetes), and MLOps practices is a plus. Preferred Qualifications / Skills: - Experience with multi-modal AI models and computer vision applications. - Exposure to LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation), and knowledge graphs. - Certifications in Microsoft Azure AI, Data Science, or ML Engineering. If you are passionate about leveraging your skills and expertise to drive AI-driven insights and automation in a dynamic environment, we invite you to apply for the role of Principal Consultant - Data Scientist at Genpact. Join us in shaping the future and creating lasting value for our clients.,

Position Summary: We are seeking a talented Engineer to join our AI team. You will technically lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, with a primary focus on large language models and other machine learning applications. This is an excellent opportunity to apply your software engineering skills in a dynamic, real-world environment and gain hands-on experience in cutting-edge AI technology. Key Responsibilities: Design and implement software solutions that power machine learning models, particularly in LLMs. Create robust data pipelines, handling data preprocessing, transformation, and integration for machine learning projects. Collaborate with the engineering team to build and optimize machine learning models, particularly LLMs, that address client-specific challenges. Partner with cross-functional teams, including business stakeholders, data engineers, and solutions architects to gather requirements and evaluate technical feasibility. Design and implement a scale infrastructure for developing and deploying GenAI solutions. Support model deployment and API integration to ensure interaction with existing enterprise systems. Basic Qualifications: A master's degree or PhD in Computer Science, Data Science, Engineering, or a related field. Experience: 35 Years. Strong programming skills in Python and Java. Good understanding of machine learning fundamentals. Hands-on experience with Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn). Familiar with frontend development and frameworks like React. Basic knowledge of LLMs and transformer-based architectures is a plus. Preferred Qualifications: Excellent problem-solving skills and an eagerness to learn in a fast-paced environment. Strong attention to detail and ability to communicate technical concepts clearly.

Position Summary: We are seeking a talented Engineer to join our AI team. You will technically lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, with a primary focus on large language models and other machine learning applications. This is an excellent opportunity to apply your software engineering skills in a dynamic, real-world environment and gain hands-on experience in cutting-edge AI technology. Key Responsibilities: Design and implement software solutions that power machine learning models, particularly in LLMs. Create robust data pipelines, handling data preprocessing, transformation, and integration for machine learning projects. Collaborate with the engineering team to build and optimize machine learning models, particularly LLMs, that address client-specific challenges. Partner with cross-functional teams, including business stakeholders, data engineers, and solutions architects to gather requirements and evaluate technical feasibility. Design and implement a scale infrastructure for developing and deploying GenAI solutions. Support model deployment and API integration to ensure interaction with existing enterprise systems. Basic Qualifications: A master's degree or PhD in Computer Science, Data Science, Engineering, or a related field. Experience: 35 Years. Strong programming skills in Python and Java. Good understanding of machine learning fundamentals. Hands-on experience with Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn). Familiar with frontend development and frameworks like React. Basic knowledge of LLMs and transformer-based architectures is a plus. Preferred Qualifications: Excellent problem-solving skills and an eagerness to learn in a fast-paced environment. Strong attention to detail and ability to communicate technical concepts clearly.

Position Summary: We are seeking a talented Engineer to join our AI team. You will technically lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, with a primary focus on large language models and other machine learning applications. This is an excellent opportunity to apply your software engineering skills in a dynamic, real-world environment and gain hands-on experience in cutting-edge AI technology. Key Responsibilities: Design and implement software solutions that power machine learning models, particularly in LLMs. Create robust data pipelines, handling data preprocessing, transformation, and integration for machine learning projects. Collaborate with the engineering team to build and optimize machine learning models, particularly LLMs, that address client-specific challenges. Partner with cross-functional teams, including business stakeholders, data engineers, and solutions architects to gather requirements and evaluate technical feasibility. Design and implement a scale infrastructure for developing and deploying GenAI solutions. Support model deployment and API integration to ensure interaction with existing enterprise systems. Basic Qualifications: A master's degree or PhD in Computer Science, Data Science, Engineering, or a related field. Experience: 35 Years. Strong programming skills in Python and Java. Good understanding of machine learning fundamentals. Hands-on experience with Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn). Familiar with frontend development and frameworks like React. Basic knowledge of LLMs and transformer-based architectures is a plus. Preferred Qualifications: Excellent problem-solving skills and an eagerness to learn in a fast-paced environment. Strong attention to detail and ability to communicate technical concepts clearly.

You are a highly skilled and experienced Python Developer with over 3 years of professional experience, seeking an exciting opportunity in the field of Machine Learning and AI. You will be joining our dynamic team at Chicmic Studios, where you will be responsible for developing and maintaining web applications using Django and Flask frameworks. Your expertise in deploying and managing applications on AWS will be crucial for optimizing performance and reliability. As a Python Machine Learning & AI Developer, your key responsibilities will include designing and implementing RESTful APIs using Django Rest Framework (DRF), integrating APIs for AI/ML models into existing systems, and creating scalable machine learning models using frameworks like PyTorch and TensorFlow. You will also be implementing transformer architectures for NLP and other advanced AI use cases, optimizing machine learning models through techniques such as hyperparameter tuning, and deploying them in production environments using tools like TensorFlow Serving and AWS SageMaker. To excel in this role, you must have a Bachelor's degree in Computer Science, Engineering, or a related field, along with a strong understanding of Python and its ecosystem. Your extensive experience with Django and Flask frameworks, AWS services, Django Rest Framework (DRF), and machine learning frameworks such as PyTorch and TensorFlow will be essential. Additionally, familiarity with SQL and NoSQL databases, MLOps practices, and front-end technologies will be beneficial. You should possess excellent problem-solving skills, the ability to work independently and collaboratively, and strong communication skills to effectively articulate complex technical concepts to non-technical stakeholders. Staying up-to-date with the latest industry trends and technologies, particularly in AI/ML, will be essential for delivering effective technical solutions and ensuring the success of our projects. If you meet the requirements and are passionate about leveraging Python, Machine Learning, and AI technologies to drive innovation, we encourage you to apply for this full-time position at Chicmic Studios, located at F273, Phase 8b Industrial Area Mohali, Punjab. Kindly contact us at 9875952836 for further details. Application Questions: - What is your Native & Current Location - What is your Highest Qualification Experience: - AI & ML: 2 years (Required) Work Location: In person,

Genpact is a global professional services and solutions firm committed to delivering outcomes that help shape the future. With a team of over 125,000 individuals across 30+ countries, we are driven by curiosity, entrepreneurial agility, and a desire to create lasting value for our clients. Our purpose, the relentless pursuit of a world that works better for people, empowers us to serve and transform leading enterprises, including the Fortune Global 500, utilizing our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently looking for a Principal Consultant - Data Scientist specializing in Azure Generative AI & Advanced Analytics. As a highly skilled and experienced professional, you will be responsible for developing and optimizing AI/ML models, analyzing complex datasets, and providing strategic recommendations for embedding models and Generative AI applications. Your role will be crucial in driving AI-driven insights and automation within our business. Responsibilities: - Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets for actionable insights and data-driven decision-making. - Design, develop, and implement Generative AI solutions leveraging various platforms including AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services. - Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources. - Build and optimize data pipelines to efficiently process and analyze large-scale datasets. - Implement Agentic AI techniques to develop intelligent, autonomous systems capable of making decisions and taking actions. - Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases. - Continuously monitor and assess the performance of AI models and data-driven solutions, refining and optimizing them as necessary. - Stay updated with the latest industry trends, tools, and technologies in data science, AI, and generative models to enhance existing solutions and develop new ones. - Mentor and guide junior team members to aid in their professional growth and skill development. - Ensure model explainability, fairness, and compliance with responsible AI principles. - Keep abreast of advancements in AI, ML, and data science and apply best practices to enhance business operations. Minimum Qualifications / Skills: - Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field. - Experience in data science, machine learning, AI applications, generative AI prompt engineering, and creating custom models. - Proficiency in Python, TensorFlow, PyTorch, PySpark, Scikit-learn, and MLflow. - Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, Azure Data Factory, Data Bricks, RAG Pipeline). - Expertise in LLMs, transformer architectures, and embeddings. - Experience in building and optimizing end-to-end data pipelines. - Familiarity with vector databases, FAISS, Pinecone, and knowledge retrieval techniques. - Knowledge of Reinforcement Learning (RLHF), fine-tuning LLMs, and prompt engineering. - Strong analytical skills with the ability to translate business requirements into AI/ML solutions. - Excellent problem-solving, critical thinking, and communication skills. - Experience with cloud-native AI deployment, containerization (Docker, Kubernetes), and MLOps practices is advantageous. Preferred Qualifications / Skills: - Experience with multi-modal AI models and computer vision applications. - Exposure to LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation), and knowledge graphs. - Certifications in Microsoft Azure AI, Data Science, or ML Engineering. Job Title: Principal Consultant Location: India-Noida Schedule: Full-time Education Level: Bachelor's / Graduation / Equivalent Job Posting: Apr 11, 2025, 9:36:00 AM Unposting Date: May 11, 2025, 1:29:00 PM Master Skills List: Digital Job Category: Full Time,

As a Senior AI/ML Engineer/Lead at our company located in Mohali, you will play a crucial role in leading the design, architecture, and delivery of complex AI/ML solutions. With over 8 years of experience, you will be responsible for developing and implementing machine learning models across various domains like NLP, computer vision, recommendation systems, classification, and regression. Your expertise will be utilized to integrate Large Language Models (LLMs) such as GPT, BERT, LLaMA, and other state-of-the-art transformer architectures into our enterprise-grade applications to drive innovation. Your key responsibilities will include selecting and implementing ML frameworks, tools, and cloud technologies that align with our business goals. You will lead AI/ML experimentation, PoCs, benchmarking, and model optimization initiatives while collaborating with data engineering, software development, and product teams to integrate ML capabilities seamlessly into production systems. Additionally, you will establish and enforce robust MLOps pipelines covering CI/CD for ML, model versioning, reproducibility, and monitoring to ensure reliability at scale. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Your hands-on experience in the AI/ML domain, along with a proven track record of delivering production-grade ML systems, will be highly valued. Proficiency in machine learning algorithms, deep learning architectures, and advanced neural network design is essential. You should also possess expertise in LLMs, transformer-based models, prompt engineering, and embeddings, with strong programming skills in Python and familiarity with cloud platforms for scalable ML workloads. Having experience with MLOps tools and practices, such as MLflow, Kubeflow, SageMaker, or equivalent, will be beneficial. Furthermore, exposure to vector databases, real-time AI systems, edge AI, streaming data environments, and active contributions to open-source projects, research publications, or thought leadership in AI/ML will be advantageous. A certification in AI/ML would be a significant plus. If you are a self-driven individual with excellent leadership, analytical thinking, and communication skills, and if you are passionate about staying updated on AI advancements and championing their adoption in business use, we encourage you to apply for this exciting opportunity.,

OnGrid is India's fastest growing digital trust platform that specializes in offering verifications, background checks, reference checks, employee/staff onboarding, KYC services, and issuing verified credentials. Founded by IIT-B alumni, OnGrid has successfully completed over 500+ million checks and has established partnerships with more than 3000 clients. The primary focus at OnGrid is centered around redefining and reimagining Trust by harnessing the power of technology to construct a digital trust platform. The company is committed to providing verified credentials instantly, sourced directly from the authentic channels. The fundamental pillars of trust have been laid by OnGrid, and now the company is eager to explore uncharted territories and innovative approaches that have not been ventured into before. To drive this vision forward and expand its impact, OnGrid is in search of a motivated Senior AI Engineer who possesses experience in developing high-performing, scalable, enterprise-grade applications. If you are a visionary individual who is constantly seeking the right solutions, a technology enthusiast who is dedicated to enhancing and expanding your skill set, then you are the ideal fit for OnGrid. **Key Responsibilities** - Collaborate with product and tech teams to oversee and innovate AI strategy and R&D. - Contribute to the creation of impactful AI use cases for both internal and client applications. - Develop AI/ML solutions for intricate problems while upholding ethical standards. - Engage in research within diverse fields like computer vision, NLP, Generative AI, and deep learning. - Integrate and enhance AI models within production systems using real-time data. **Required Qualifications** - Possession of a Bachelor's or Master's degree in Computer Science or a related field. - Specialization in Data Science, Machine Learning, or Artificial Intelligence is advantageous. - Minimum of 3+ years of practical experience in tackling real-world AI challenges, focusing on areas such as Computer Vision, Deep Learning, Object Detection, Natural Language Processing (NLP), Generative AI, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and AI agents. - Proficient in Python programming, with exposure to frameworks like Django and Flask; familiarity with Java is beneficial. - Knowledge of Microservices Architecture is considered a plus. - Experience with cloud platforms such as AWS, Azure, or Google Cloud is desirable. **Technical Expertise** - Vision Models: Proficiency in vision models like YOLO, ResNet, and OCR for real-time object detection, image classification, and text detection. - Generative AI & LLMs: Expertise in generative AI models and large language models (LLMs) such as Claude, LLaMA, Qwen, Mistral, etc. Experience in implementing Retrieval-Augmented Generation (RAG) and working with open-source models from platforms like Hugging Face, Robo Flow, etc. - AI Frameworks & Tools: Competence in utilizing frameworks and libraries like TensorFlow, PyTorch, LangChain (LangGraph, LangSmith), PydanticAI, OpenCV, Django, Flask, Postman, Docker, Swagger, AWS, and GCP. - Accelerated Computing: Strong understanding of GPU-accelerated training, fine-tuning, and inference, with hands-on experience on platforms like AWS, GCP, or in-house infrastructure. - Production Deployment: Expertise in deploying, fine-tuning, and scaling AI models in production environments to ensure system reliability and high availability. - Advanced AI Knowledge: In-depth comprehension of convolutional neural networks, transformer architectures, vector databases, and data preparation pipelines. Join OnGrid to be part of a dynamic and innovative team that thrives on tackling impactful challenges. Shape the future of digital trust and AI technologies in a collaborative work environment that offers opportunities for continuous learning and growth.,

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. For over 90 years, our innovative drive has kept us a step ahead of our customers" evolving needs. From advocating for safety measures like seat belts and airbags to being a leader in pricing sophistication, telematics, and device and identity protection. This role is responsible for leading the use of data to make decisions. You will develop and execute new machine learning predictive modeling algorithms, code tools using machine learning/predictive modeling for business decisions, integrate new data to improve modeling results, and find solutions to business problems through machine learning/predictive modeling. In addition, you will manage projects of small to medium complexity. We are seeking a Data Scientist to apply machine learning and advanced analytics to solve complex business problems. The ideal candidate will possess technical expertise, business acumen, and a passion for solving high-impact problems. Your responsibilities will include developing machine learning models, integrating new data sources, and delivering solutions that enhance decision-making. You will collaborate with cross-functional teams to translate insights into action, from design to deployment. Key Responsibilities: - Design, build, and validate statistical and machine learning models for key business problems. - Perform data exploration and analysis to uncover insights and improve model performance. - Communicate findings to stakeholders, collaborate with teams to ensure solutions are adopted. - Stay updated on modeling techniques, tools, and technologies, integrating innovative approaches. - Lead data science initiatives from planning to delivery, ensuring measurable business impact. - Provide mentorship to junior team members and lead technical teams as required. Must-Have Skills: - 4 to 8 years of experience in applied data science, delivering business value through machine learning. - Proficiency in Python with experience in libraries like scikit-learn, pandas, NumPy, and TensorFlow or PyTorch. - Strong foundation in statistical analysis, regression modeling, classification techniques, and more. - Hands-on experience with building and deploying machine learning models in cloud environments. - Ability to translate complex business problems into structured data science problems. - Strong communication, stakeholder management, analytical, and problem-solving skills. - Proactive in identifying opportunities for data-driven decision-making. - Experience in Agile or Scrum-based project environments. Preferred Skills: - Experience with Large Language Models (LLMs) and transformer architectures. - Experience with production-grade ML platforms and orchestration tools for scaling models. Primary Skills: Business Case Analyses, Data Analytics, Predictive Analytics, Predictive Modeling, Waterfall Project Management. Shift Time: Shift B (India). Recruiter Info: Annapurna Jha, email: ajhat@allstate.com. About Allstate: The Allstate Corporation is a leading insurance provider in the US, with operations in multiple countries, including India. Allstate India is a strategic business services arm focusing on technology, innovation, and operational excellence. Learn more about Allstate India here.,

Tata Electronics Pvt. Ltd. is a key global player in the electronics manufacturing industry, specializing in Electronics Manufacturing Services, Semiconductor Assembly & Test, Semiconductor Foundry, and Design Services. Established in 2020 by the Tata Group, the company's primary objective is to provide integrated solutions to global customers across the electronics and semiconductor value chain. We are looking for an AI Core Developer to join our R&D team in Bangalore. This role is centered around fundamental AI research, algorithm development, and model pre-training, focusing on innovation rather than application engineering. As an AI Core Developer, you will be involved in cutting-edge AI research, creating novel algorithms, and constructing foundation models from scratch. This position is ideal for individuals with a strong background in pre-training methodologies and algorithm development who aspire to contribute to core AI advancements. Your responsibilities will include developing and implementing innovative machine learning algorithms for various AI systems, designing pre-training pipelines for large models, prototyping new AI architectures, collaborating with research scientists and engineers, and contributing to technical publications. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, with 2-4 years of hands-on experience in AI/ML development. Proficiency in Python, C/C++, knowledge of deep learning frameworks such as PyTorch and TensorFlow, and experience with model pre-training are essential requirements. Strong mathematical skills, familiarity with transformer architectures and attention mechanisms, and understanding of distributed computing are also key competencies. Preferred qualifications include advanced experience in multimodal AI systems, research contributions to top-tier AI conferences, and expertise in specific AI domains like healthcare or finance. The position is based in Bangalore, India, with a hybrid work arrangement and occasional travel for conferences and collaborations.,

As a Python Machine Learning & AI Developer at Chicmic Studios, you will be an integral part of our dynamic team, bringing your expertise and experience to develop cutting-edge web applications using Django and Flask frameworks. Your primary responsibilities will include designing and implementing RESTful APIs with Django Rest Framework (DRF), deploying and optimizing applications on AWS services, and integrating AI/ML models into existing systems. You will be expected to create scalable machine learning models using PyTorch, TensorFlow, and scikit-learn, implement transformer architectures like BERT and GPT for NLP and advanced AI use cases, and optimize models through techniques such as hyperparameter tuning, pruning, and quantization. Additionally, you will deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker, ensuring the scalability, performance, and reliability of both applications and models. Collaboration with cross-functional teams to analyze requirements, deliver technical solutions, and staying up-to-date with the latest industry trends in AI/ML will also be key aspects of your role. Your ability to write clean, efficient code following best practices, conduct code reviews, and provide constructive feedback to peers will contribute to the success of our projects. To be successful in this role, you should possess a Bachelor's degree in Computer Science, Engineering, or a related field, with at least 3 years of professional experience as a Python Developer. Proficiency in Python, Django, Flask, and AWS services is required, along with expertise in machine learning frameworks, transformer architectures, and database technologies. Familiarity with MLOps practices, front-end technologies, and strong problem-solving skills are also desirable qualities for this position. If you are passionate about leveraging your Python development skills and AI expertise to drive innovation and deliver impactful solutions, we encourage you to apply and be a part of our innovative team at Chicmic Studios.,

You will be part of a team that is pioneering the development of the world's first agentic AI voice-to-voice mental health platform, offering personalized therapy globally. The platform aims to provide validated emotional support and mental health care on a large scale to address the global mental health crisis. Your role as Co-founder & CTO will require you to lead the technical vision and execution, overseeing core AI infrastructure, voice integration, and team management. As the CTO, you will be responsible for refining and implementing revolutionary AI architecture for both B2C and B2B platforms, developing cutting-edge voice technology for therapeutic effectiveness, and ensuring secure, compliant systems. Your expertise in engineering or computer science, coupled with 10+ years of experience in scaling consumer applications and enterprise solutions, will be essential in building a global-scale platform that can impact millions of lives positively. Your exceptional leadership qualities, entrepreneurial mindset, and strategic thinking abilities will play a crucial role in balancing technical excellence with business impact. You must have a passion for leveraging technology to solve significant human problems and be capable of inspiring and motivating technical teams. The role also requires proficiency in full-stack development, cloud infrastructure, core AI/ML technologies, and preferably voice technology, healthcare compliance, and blockchain development. This extraordinary opportunity will allow you to architect a technological solution that could revolutionize mental health care globally, working alongside a top-tier team with a shared vision of making a meaningful impact. You will have the autonomy to make critical technical decisions, influence a platform that transcends borders and cultures, and contribute to groundbreaking work at the intersection of AI, healthcare, and human empathy. In return, you will receive a substantial equity stake in the company, technical freedom to drive innovation, the chance to create a global impact, and the opportunity to collaborate with exceptional co-founders who are dedicated to changing the world. If you are a visionary leader and technologist ready to tackle one of humanity's greatest challenges, this role offers a unique chance to be part of a transformational journey in human healthcare. Ready to be a catalyst for change and contribute to a pivotal moment in global mental health care We are looking for exceptional individuals like you to join us in this mission. Location: India, Dubai, Remote Compensation: Equity, with salary on the close of pre-seed round Stage: Early (pre-seed / MVP in development),

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.,

You are an experienced AI/ML Engineer with a solid foundation in Machine learning, Artificial Intelligence, and at least one year of hands-on experience in Generative AI. You are proficient in Python, LLM Models, and emerging techniques such as Retrieval-Augmented Generation (RAG), model fine-tuning, and agentic AI systems. Your responsibilities will include designing, developing, and deploying AI/ML solutions with an emphasis on generative models and LLMs. You will implement and optimize RAG pipelines for knowledge-aware AI systems, fine-tune and customize models for specific domains or applications, and build and manage agentic AI systems capable of autonomous planning and decision-making. Collaboration with cross-functional teams to identify use cases and deliver scalable AI-powered features is essential. You will stay up to date with the latest developments in AI/ML and contribute to internal knowledge sharing. Required qualifications include 3+ years of experience in AI/ML development, a minimum of 1 year of hands-on experience in Generative AI projects, proficiency in Python and common ML libraries, a strong understanding of Large Language Models (LLMs) and transformer architectures, experience with RAG pipelines, and hands-on experience with model fine-tuning using LoRA, PEFT, or Hugging Face Transformers. Additionally, experience developing agentic AI systems and working with cloud platforms is necessary. You will work with frameworks & libraries such as LangChain, LlamaIndex, AutoGen, PyTorch, and TensorFlow, model providers like OpenAI, Anthropic, Llama, Mistral, vector stores such as FAISS, Pinecone, Milvus, and APIs & Services like REST, GraphQL. Experience with DevOps & Infra tools like Docker, AWS/GCP/Azure will be beneficial for this role.,

You will be responsible for designing, building, and deploying scalable NLP/ML models for real-world applications. Your role will involve fine-tuning and optimizing Large Language Models (LLMs) using techniques like LoRA, PEFT, or QLoRA. You will work with transformer-based architectures such as BERT, GPT, LLaMA, and T5, and develop GenAI applications using frameworks like LangChain, Hugging Face, OpenAI API, or RAG (Retrieval-Augmented Generation). Writing clean, efficient, and testable Python code will be a crucial part of your tasks. Collaboration with data scientists, software engineers, and stakeholders to define AI-driven solutions will also be an essential aspect of your work. Additionally, you will evaluate model performance and iterate rapidly based on user feedback and metrics. The ideal candidate should have a minimum of 3 years of experience in Python programming with a strong understanding of ML pipelines. A solid background and experience in NLP, including text preprocessing, embeddings, NER, and sentiment analysis, are required. Proficiency in ML libraries such as scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, and spaCy is essential. Experience with GenAI concepts, including prompt engineering, LLM fine-tuning, and vector databases like FAISS and ChromaDB, will be beneficial. Strong problem-solving and communication skills are highly valued, along with the ability to learn new tools and work both independently and collaboratively in a fast-paced environment. Attention to detail and accuracy is crucial for this role. Preferred skills include theoretical knowledge or experience in Data Engineering, Data Science, AI, ML, RPA, or related domains. Certification in Business Analysis or Project Management from a recognized institution is a plus. Experience in working with agile methodologies such as Scrum or Kanban is desirable. Additional experience in deep learning and transformer architectures and models, prompt engineering, training LLMs, and GenAI pipeline preparation will be advantageous. Practical experience in integrating LLM models like ChatGPT, Gemini, Claude, etc., with context-aware capabilities using RAG or fine-tuning models is a plus. Knowledge of model evaluation and alignment, as well as metrics to calculate model accuracy, is beneficial. Data curation from sources for RAG preprocessing and development of LLM pipelines is an added advantage. Proficiency in scalable deployment and logging tooling, including skills like Flask, Django, FastAPI, APIs, Docker containerization, and Kubeflow, is preferred. Familiarity with Lang Chain, LlamaIndex, vLLM, HuggingFace Transformers, LoRA, and a basic understanding of cost-to-performance tradeoffs will be beneficial for this role.,

Data Scientist—Generative AI: Design, finetune & deploy LLMs, GANs & diffusion models. Build RAG pipelines with FAISS/Pinecone; use Python, PyTorch/TensorFlow, and Hugging Face. Create ML pipelines, ensure model ethics, and deploy via cloud.