8735 Pytorch Jobs - Page 3

The primary responsibility of the Data Science & Analysis role in India is to design, train, and fine-tune advanced foundational models (text, audio, vision) using healthcare and other relevant datasets, with a key focus on accuracy and context relevance. Collaboration with cross-functional teams (Business, engineering, IT) is essential to seamlessly integrate AI/ML technologies into solution offerings. Deployment, monitoring, and management of AI models in a production environment are crucial to ensure high availability, scalability, and performance. Continuous research and evaluation of the latest advancements in AI/ML and industry trends are required to drive innovation. Comprehensive documentation for AI models, covering development, training, fine-tuning, and deployment procedures, needs to be developed and maintained. Providing technical guidance and mentorship to junior AI engineers and team members is also a part of the role. Collaboration with stakeholders to understand business needs and translate them into technical requirements for model fine-tuning and development is critical. Selecting and curating appropriate datasets for fine-tuning foundational models to address specific use cases is an essential aspect of the job. Ensuring that AI solutions can seamlessly integrate with existing systems and applications is also part of the responsibilities. For this role, a Bachelor's or Master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field is required. The ideal candidate should have 4 to 6 years of hands-on experience in AI/ML, with a proven track record of training and deploying LLMs and other machine learning models. Strong proficiency in Python and familiarity with popular AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, etc., is necessary. Practical experience in deploying and managing AI models in production environments, including expertise in serving and inference frameworks like Triton, TensorRT, VLLM, TGI, etc., is expected. Experience in Voice AI applications, a solid understanding of healthcare data standards (FHIR, HL7, EDI), and regulatory compliance (HIPAA, SOC2) is preferred. Excellent problem-solving and analytical abilities are required to tackle complex challenges and evaluate multiple factors. Exceptional communication and collaboration skills are necessary for effective teamwork in a dynamic environment. The ideal candidate should have worked on a minimum of 2 AI/LLM projects from start to finish, demonstrating proven business value. Experience with cloud computing platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes) is a plus. Familiarity with MLOps practices for continuous integration, continuous deployment (CI/CD), and automated monitoring of AI models would also be advantageous. Guidehouse offers a comprehensive total rewards package, including competitive compensation and a flexible benefits package that reflects the commitment to creating a diverse and supportive workplace. Guidehouse is an Equal Opportunity Employer that considers qualified applicants with criminal histories in accordance with applicable laws and regulations, including the Fair Chance Ordinance of Los Angeles and San Francisco. If accommodation is required to apply for a position or for information about employment opportunities, applicants can contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information provided will be kept confidential and used only as needed to provide necessary reasonable accommodation. All recruitment communication from Guidehouse will be sent from Guidehouse email domains, including @guidehouse.com or guidehouse@myworkday.com. Any correspondence received from other domains should be considered unauthorized and will not be honored by Guidehouse. Guidehouse does not charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in recruitment events. Banking information should never be provided to a third party claiming to need it for the hiring process. If any demand for money related to a job opportunity with Guidehouse arises, it should be reported to Guidehouse's Ethics Hotline. For verification of received correspondence, applicants can contact recruiting@guidehouse.com. Guidehouse is not liable for any losses incurred from an applicant's dealings with unauthorized third parties.,

As a Python Developer specializing in Generative AI, you will play a key role in designing, developing, and deploying intelligent AI-powered systems during the night shift in Bangalore. Your primary responsibility will involve building and maintaining Python-based APIs and backends integrated with cutting-edge Generative AI models. You will collaborate with global teams to implement prompt engineering, fine-tuning, and model deployment pipelines using tools such as GPT, Claude, LLaMA, DALLE, and Stable Diffusion. Your expertise in PyTorch, TensorFlow, Hugging Face, LangChain, or OpenAI API will be crucial in optimizing model performance for latency, accuracy, and scalability. Additionally, you will deploy models using FastAPI, Flask, Docker, or cloud platforms while ensuring thorough testing, monitoring, and documentation of AI integrations. To excel in this role, you should possess at least 4 years of Python development experience along with 1 year of hands-on experience with Generative AI tools and models. Familiarity with vector databases such as FAISS, Pinecone, and Weaviate is also desirable. Exposure to GPU-based training or inference, MLOps tools like MLflow, Airflow, or Kubeflow, and a strong understanding of AI ethics, model safety, and bias mitigation are considered advantageous. This full-time, permanent position offers health insurance, Provident Fund benefits, and requires working in person during the night shift. If you are passionate about leveraging AI to address real-world challenges and thrive in a fast-paced environment, we encourage you to apply and contribute to innovative GenAI and ML projects.,

You will be stepping into the role of Lead AI Data Scientist with our client's team based in Ahmedabad. Your primary responsibility will involve spearheading the development of advanced machine learning and deep learning models to tackle intricate business challenges. By managing project timelines, scope, and deliverables, you will ensure timely completion while upholding quality standards. Your role will also entail designing and executing machine learning models and AI applications, custom-tailored for both internal and customer-centric solutions. Your expertise will be put to the test as you engage in XML regression analysis and the construction of robust C++ pipelines for data processing. Constant optimization of models for enhanced performance, accuracy, and scalability will be key, all the while considering real-world constraints such as latency and interpretability. In addition, you will play a crucial role in developing tools aimed at boosting personal and organizational productivity, in collaboration with cross-functional teams to identify automation prospects. You will oversee the data pipeline and infrastructure, ensuring data quality, consistency, and accessibility for seamless model development. Your analytical skills will be put to good use as you delve into complex datasets to extract actionable insights. Lastly, your involvement in strategic brainstorming sessions will align AI initiatives with the company's overarching vision. To thrive in this role, you should possess a Bachelor's or Master's degree in data science, Computer Science, or a related field. Proficiency in XML regression analysis and C++ programming is a must, along with familiarity with machine learning frameworks like TensorFlow and PyTorch. Strong problem-solving abilities, a deep-rooted passion for AI, and effective communication skills are all essential traits for success in this position. As a part of our team, you will have the opportunity to work on cutting-edge AI technologies in a collaborative and innovative work environment. In addition to a competitive salary, we offer a comprehensive benefits package and ample opportunities for career growth within our fast-evolving company.,

As a Senior Data Scientist I at Dotdash Meredith, you will collaborate with the business team to understand problems, objectives, and desired outcomes. Your primary responsibility will be to work with cross-functional teams to assess data science use cases & solutions, lead and execute end-to-end data science projects, and collaborate with stakeholders to ensure alignment of data solutions with business goals. You will be expected to build custom data models with an initial focus on content classification, utilize advanced machine learning techniques to improve model accuracy and performance, and build necessary visualizations to interpret data models by business teams. Additionally, you will work closely with the engineering team to integrate models into production systems, monitor model performance in production, and make improvements as necessary. To excel in this role, you must possess a Masters degree (or equivalent experience) in Data Science, Mathematics, Statistics, or a related field with 3+ years of experience in ML/Data Science/Predictive-Analytics. Strong programming skills in Python and experience with standard data science tools and libraries are essential. Experience or understanding of deploying machine learning models in production on at least one cloud platform is required, and hands-on experience with LLMs API and the ability to craft effective prompts are preferred. It would be beneficial to have experience in the Media domain, familiarity with vector databases like Milvus, and E-commerce or taxonomy classification experience. In this role, you will have the opportunity to learn about building ML models using industry-standard frameworks, solving Data Science problems for the media industry, and the use of Gen AI in Media. This position is based in Eco World, Bengaluru, with shift timings from 1 p.m. to 10 p.m. IST. If you are a bright, engaged, creative, and fun individual with a passion for data science, we invite you to join our inspiring team at Dotdash Meredith India Services Pvt. Ltd.,

Please Read Carefully Before Applying Do NOT apply unless you have 3+ years of real-world, hands-on experience in the requirements listed below. Do NOT apply if you are not in Delhi or the NCR OR are unwilling to relocate. This is NOT a WFO opportunity. We work 5 days from office, so please do NOT apply if you are looking for hybrid or WFO. About Gigaforce Gigaforce is a California-based InsurTech company delivering a next-generation, SaaS-based claims platform purpose-built for the Property and Casualty industry. Our blockchain-optimized solution integrates artificial intelligence (AI)-powered predictive models with deep domain expertise to streamline and accelerate subrogation and claims processing. Whether for insurers, recovery vendors, or other ecosystem participants, Gigaforce transforms the traditionally fragmented claims lifecycle into an intelligent, end-to-end digital experience. Recognized as one of the most promising emerging players in the insurance technology space, Gigaforce has already achieved significant milestones. We were a finalist for InsurtechNY, a leading platform accelerating innovation in the insurance industry, and twice named a Top 50 company by the TiE Silicon Valley community. Additionally, Plug and Play Tech Center, the world's largest early-stage investor and innovation accelerator, selected Gigaforce to join its prestigious global accelerator headquartered in Sunnyvale, California. At the core of our platform is a commitment to cutting-edge innovation. We harness the power of technologies such as AI, Machine Learning, Robotic Process Automation, Blockchain, Big Data, and Cloud Computing-leveraging modern languages and frameworks like Java, Kotlin, Angular, and Node.js. We are driven by a culture of curiosity, excellence, and inclusion. At Gigaforce, we hire top talent and provide an environment where every voice matters and every idea is valued. Our employees enjoy comprehensive medical benefits, equity participation, meal cards and generous paid time off. As an equal opportunity employer, we are proud to foster a diverse, equitable, and inclusive workplace that empowers all team members to thrive. We're seeking a NLP & Generative AI Engineers with 2-8 years of hands-on experience in traditional machine learning, natural language processing, and modern generative AI techniques. If you have experience deploying GenAI solutions to production, working with open-source technologies, and handling document-centric pipelines, this is the role for you. You'll work in a high-impact role, leading the design, development, and deployment of innovative AI/ML solutions for insurance claims processing and beyond. In this agile environment, you'll work within structured sprints and leverage data-driven insights and user feedback to guide decision-making. You'll balance strategic vision with tactical execution to ensure we continue to lead the industry in subrogation automation and claims optimization for the property and casualty insurance market. Key Responsibilities Build and deploy end-to-end NLP and GenAI-driven products focused on document understanding, summarization, classification, and retrieval. Design and implement models leveraging LLMs (e.g., GPT, T5, BERT) with capabilities like fine-tuning, instruction tuning, and prompt engineering. Work on scalable, cloud-based pipelines for training, serving, and monitoring models. Handle unstructured data from insurance-related documents such as claims, legal texts, and contracts. Collaborate cross-functionally with data scientists, ML engineers, product managers, and developers. Utilize and contribute to open-source tools and frameworks in the ML ecosystem. Deploy production-ready solutions using MLOps practices : Docker, Kubernetes, Airflow, MLflow, etc. Work on distributed/cloud systems (AWS, GCP, or Azure) with GPU-accelerated workflows. Evaluate and experiment with open-source LLMs and embeddings models (e.g., LangChain, Haystack, LlamaIndex, HuggingFace). Champion best practices in model validation, reproducibility, and responsible AI. Required Skills & Qualifications 2 - 8 years of experience as a Data Scientist, NLP Engineer, or ML Engineer. Strong grasp of traditional ML algorithms (SVMs, gradient boosting, etc.) and NLP fundamentals (word embeddings, topic modeling, text classification). Proven expertise in modern NLP & GenAI models, including : Transformer architectures (e.g., BERT, GPT, T5) Generative tasks : summarization, QA, chatbots, etc. Fine-tuning & prompt engineering for LLMs Experience with cloud platforms (especially AWS SageMaker, GCP, or Azure ML). Strong coding skills in Python, with libraries like Hugging Face, PyTorch, TensorFlow, Scikit-learn. Experience with open-source frameworks (LangChain, LlamaIndex, Haystack) preferred. Experience in document processing pipelines and understanding structured/unstructured insurance documents is a big plus. Familiar with MLOps tools such as MLflow, DVC, FastAPI, Docker, KubeFlow, Airflow. Familiarity with distributed computing and large-scale data processing (Spark, Hadoop, Databricks). Preferred Qualifications Experience deploying GenAI models in production environments. Contributions to open-source projects in ML/NLP/LLM space. Background in insurance, legal, or financial domain involving text-heavy workflows. Strong understanding of data privacy, ethical AI, and responsible model usage. (ref:hirist.tech)

Gruve is an innovative software services startup dedicated to transforming enterprises into AI powerhouses. Specializing in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs), our mission is to assist customers in utilizing their data for making intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks. We are currently looking for a talented Engineer to join our AI team. In this role, you will lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, focusing on large language models and other machine learning applications. This position presents an excellent opportunity to leverage your software engineering skills in a real-world environment and gain hands-on experience with cutting-edge AI technology. Key Responsibilities: - Design and Develop AI-Powered Solutions: Architect and implement scalable AI/ML systems, with a focus on Large Language Models (LLMs) and deep learning applications. - End-to-End Model Development: Lead the entire lifecycle of AI models, from data collection and preprocessing to training, fine-tuning, evaluation, and deployment. - Fine-Tuning & Customization: Utilize techniques like LoRA (Low-Rank Adaptation) and Q-LoRA to efficiently fine-tune large models for specific business applications. - Reasoning Model Implementation: Work with advanced reasoning models such as DeepSeek-R1 to explore their applications in enterprise AI workflows. - Data Engineering & Dataset Creation: Design and curate high-quality datasets optimized for fine-tuning AI models, ensuring robust training and validation processes. - Performance Optimization & Efficiency: Optimize model inference, computational efficiency, and resource utilization for large-scale AI applications. - MLOps & CI/CD Pipelines: Implement best practices for MLOps to ensure automated training, deployment, monitoring, and continuous improvement of AI models. - Cloud & Edge AI Deployment: Deploy and manage AI solutions in cloud environments (AWS, Azure, GCP) and explore edge AI deployment where applicable. - API Development & Microservices: Develop RESTful APIs and microservices to seamlessly integrate AI models into enterprise applications. - Security, Compliance & Ethical AI: Ensure AI solutions comply with industry standards, data privacy laws (e.g., GDPR, HIPAA), and ethical AI guidelines. - Collaboration & Stakeholder Engagement: Collaborate closely with product managers, data engineers, and business teams to translate business needs into AI-driven solutions. - Mentorship & Technical Leadership: Guide and mentor junior engineers to foster best practices in AI/ML development, model fine-tuning, and software engineering. - Research & Innovation: Stay informed on emerging AI trends, conduct experiments with cutting-edge architectures and techniques, and drive innovation within the team. Basic Qualifications: - Master's degree or PhD in Computer Science, Data Science, Engineering, or related field - 5-8 years of experience - 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) - Familiarity 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 eagerness to learn in a fast-paced environment - Strong attention to detail and ability to communicate technical concepts clearly At Gruve, we promote a culture of innovation, collaboration, and continuous learning. We are dedicated to creating a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you are passionate about technology and eager to make an impact, we would love to hear from you. Gruve is an equal opportunity employer, welcoming applicants from all backgrounds. We appreciate all applicants, and only those selected for an interview will be contacted.,

About Us At NexusLink Services, we are passionate about building intelligent, scalable solutions that drive real-world impact. As we expand our AI/ML capabilities, were looking for a Generative AI-focused Data Scientist to join our innovative and rapidly growing team. Role Overview We are seeking an experienced Data Scientist with deep expertise in Generative AI to design and implement cutting-edge models that solve real business problems. You will work with LLMs, GANs, RAG frameworks, and transformer-based architectures to build production-ready solutions across industries. Key Responsibilities Design, develop, and fine-tune Generative AI models (LLMs, GANs, Diffusion models, etc. Work on RAG (Retrieval-Augmented Generation) and transformer-based architectures. Customize and fine-tune LLMs for domain-specific use cases. Build and manage robust ML pipelines for training, evaluation, and deployment. Collaborate with engineering teams to integrate models into real-world applications. Stay updated with the latest GenAI research, tools, and trends. Analyze model outputs, monitor performance, and ensure responsible AI use. Required Skills Strong Python skills with experience in ML/DL libraries: TensorFlow, PyTorch, HuggingFace Transformers. Deep understanding of LLMs, GANs, RAG, Autoencoders, etc. Experience with LoRA, PEFT, or similar fine-tuning techniques. Familiarity with Vector Databases (FAISS, Pinecone) and embeddings. Expertise in data preprocessing, synthetic data generation. Solid knowledge of NLP, prompt engineering, and language model safety. Hands-on experience with model deployment, APIs, and cloud platforms (AWS/GCP/Azure). Nice To Have Experience with Chatbots, Conversational AI, or AI Assistants. Familiarity with LangChain, LLMOps, or serverless model deployment. Background in MLOps, Docker/Kubernetes, and CI/CD pipelines. Exposure to OpenAI, Anthropic, Google Gemini, or Meta LLaMA. (ref:hirist.tech)

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 the A.I. Lead at Airbus Innovation Centre India & South Asia (AIC), you will play a pivotal role in leading a team of data scientists and data analysts to develop cutting-edge AI products within the aviation industry. With a minimum of 10 years of hands-on experience in AI, you will guide the team in the creation of innovative solutions with a particular focus on Large Language Models (LLM), Computer Vision, and open-source machine learning models. Your expertise in system engineering, especially Model-Based Systems Engineering (MBSE), will be essential in ensuring the successful integration of AI technologies into aviation systems while adhering to safety and regulatory standards. Your responsibilities will include leading and managing the team to design and deploy AI-driven solutions for aviation, collaborating with cross-functional teams to define project goals, and providing technical leadership in selecting and optimizing machine learning models. You will drive the development of AI algorithms to address complex aviation challenges such as predictive maintenance and anomaly detection. Additionally, your role will involve mentoring team members, staying updated with the latest advancements in AI, and communicating project progress effectively to stakeholders. To excel in this role, you should have a proven track record of successfully leading teams in AI product development, a deep understanding of system engineering principles, and extensive experience in designing and optimizing AI models using Python and relevant libraries such as TensorFlow and PyTorch. Effective communication skills, problem-solving abilities, and a data-driven approach to decision-making are crucial for collaborating with cross-functional teams and conveying technical concepts to non-technical stakeholders. A master's or doctoral degree in a relevant field is preferred. This permanent position at Airbus India Private Limited offers a professional level of experience and the opportunity to work in a collaborative and innovative environment. By applying for this role, you consent to Airbus using and storing information about you for monitoring purposes. Airbus is committed to equal opportunities and does not engage in any monetary exchanges during the recruitment process. Flexibility and innovation are encouraged at Airbus, and flexible working arrangements are supported to facilitate a conducive work environment.,

Roles And Responsibilities Build and deploy AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs). Design and implement Agentic AI systemsautonomous agents capable of planning and executing multi-step tasks. Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products. Write clean, scalable code and build robust APIs and services to support AI model deployment. Own feature delivery end-to-endfrom research and experimentation to deployment and monitoring. Stay current with emerging AI frameworks, tools, and best practices and apply them in product development. Contribute to a high-performing team culture and mentor junior team members as needed. Skill Set 36 years of overall software development experience, with 3+ years specifically in AI/ML engineering. Strong proficiency in Python, with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). Proven experience working with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio). Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel). Experience building and deploying ML models to production environments. Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts. Comfortable working in a startup-like environment self-motivated, adaptable, and willing to take ownership. Solid understanding of API development, version control, and modern DevOps/MLOps practices. (ref:hirist.tech)

You should possess a minimum of 7-10 years of industry experience, out of which a minimum of 5 years should have been in machine learning roles. Your proficiency in Python and popular ML libraries such as TensorFlow, PyTorch, and Scikit-learn should be advanced. Furthermore, you should have hands-on experience in distributed training, model optimization including quantization and pruning, and inference at scale. Experience with cloud ML platforms like AWS (SageMaker), GCP (Vertex AI), or Azure ML is essential. It is expected that you are familiar with MLOps tooling such as MLflow, TFX, Airflow, or Kubeflow, and data engineering frameworks like Spark, dbt, or Apache Beam. A solid understanding of CI/CD for ML, model governance, and post-deployment monitoring (e.g., data drift, model decay) is crucial for this role. In addition to technical skills, problem-solving abilities, effective communication, and strong documentation skills are highly valued in this position.,

This is a key position that will play a pivotal role in creating data-driven technology solutions to establish our client as a leader in healthcare, financial, and clinical administration. As the Lead Data Scientist, you will be instrumental in building and implementing machine learning models and predictive analytics solutions that will spearhead the new era of AI-driven innovation in the healthcare industry. Your responsibilities will involve developing and implementing a variety of ML/AI products, from conceptualization to production, to help the organization gain a competitive edge in the market. Working closely with the Director of Data Science, you will operate at the crossroads of healthcare, finance, and cutting-edge data science to tackle some of the most intricate challenges faced by the industry. This role presents a unique opportunity within VHT's Product Transformation division to create pioneering machine learning capabilities from scratch. You will have the chance to shape the future of VHT's data science & analytics foundation, utilizing state-of-the-art tools and methodologies within a collaborative and innovation-focused environment. Key Responsibilities: - Lead the development of predictive machine learning models for Revenue Cycle Management analytics, focusing on areas such as: - Claim Denials Prediction: identifying high-risk claims before submission - Cash Flow Forecasting: predicting revenue timing and patterns - Patient-Related Models: enhancing patient financial experience and outcomes - Claim Processing Time Prediction: optimizing workflow and resource allocation - Explore emerging areas and integration opportunities, e.g., denial prediction + appeal success probability or prior authorization prediction + approval likelihood models. VHT Technical Environment: - Cloud Platform: AWS (SageMaker, S3, Redshift, EC2) - Development Tools: Jupyter Notebooks, Git, Docker - Programming: Python, SQL, R (optional) - ML/AI Stack: Scikit-learn, TensorFlow/PyTorch, MLflow, Airflow - Data Processing: Spark, Pandas, NumPy - Visualization: Matplotlib, Seaborn, Plotly, Tableau Required Qualifications: - Advanced degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field - 5+ years of hands-on data science experience with a proven track record of deploying ML models to production - Expert-level proficiency in SQL and Python, with extensive experience using standard Python machine learning libraries (scikit-learn, pandas, numpy, matplotlib, seaborn, etc.) - Cloud platform experience, preferably AWS, with hands-on knowledge of SageMaker, S3, Redshift, and Jupyter Notebook workbenches (other cloud environments acceptable) - Strong statistical modeling and machine learning expertise across supervised and unsupervised learning techniques - Experience with model deployment, monitoring, and MLOps practices - Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders Preferred Qualifications: - US Healthcare industry experience, particularly in Health Insurance and/or Medical Revenue Cycle Management - Experience with healthcare data standards (HL7, FHIR, X12 EDI) - Knowledge of healthcare regulations (HIPAA, compliance requirements) - Experience with deep learning frameworks (TensorFlow, PyTorch) - Familiarity with real-time streaming data processing - Previous leadership or mentoring experience,

You are an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. Leveraging deep technical expertise, Agile methodologies, and data-driven intelligence, you modernize systems of engagement and simplify human/tech interaction. Amazing things happen in environments where everyone feels a true sense of belonging and has the skills and opportunities to succeed. Investing in talent and supporting career growth is a priority, always looking for amazing talent to contribute to growth by delivering top results for clients. Join the team to challenge yourself and accomplish meaningful work. As a highly experienced Computer Vision Architect with deep expertise in Python, you will design and lead the development of cutting-edge vision-based systems. Architecting scalable solutions leveraging advanced image and video processing, deep learning, and real-time inference, you will collaborate with cross-functional teams to deliver high-performance, production-grade computer vision platforms. Key Responsibilities: - Architect and design end-to-end computer vision solutions for real-world applications like object detection, tracking, OCR, facial recognition, and scene understanding. - Lead R&D initiatives and prototype development using modern CV frameworks such as OpenCV, PyTorch, TensorFlow. - Optimize computer vision models for performance, scalability, and deployment on cloud, edge, or embedded systems. - Define architecture standards and best practices for Python-based CV pipelines. - Collaborate with product teams, data scientists, and ML engineers to translate business requirements into technical solutions. - Stay updated with the latest advancements in computer vision, deep learning, and AI. - Mentor junior developers and contribute to code reviews, design discussions, and technical documentation. Required Skills & Qualifications: - Bachelors or Masters degree in Computer Science, Electrical Engineering, or related field (PhD is a plus). - 8+ years of software development experience, with 5+ years in computer vision and deep learning. - Proficiency in Python and libraries such as OpenCV, NumPy, scikit-image, Pillow. - Experience with deep learning frameworks like PyTorch, TensorFlow, or Keras. - Strong understanding of CNNs, object detection (YOLO, SSD, Faster R-CNN), semantic segmentation, and image classification. - Knowledge of MLOps, model deployment strategies (e.g., ONNX, TensorRT), and containerization (Docker/Kubernetes). - Experience working with video analytics, image annotation tools, and large-scale dataset pipelines. - Familiarity with edge deployment (Jetson, Raspberry Pi, etc.) or cloud AI services (AWS SageMaker, Azure ML, GCP AI).,

The Forward Deployed Engineer (FDE) - AI Enablement is a senior-level position where you will be responsible for achieving results through solutioning, developing, and implementing AI/ML capabilities as an individual contributor. As an FDE - AI Enablement, you are expected to stay updated on the latest developments in Citi and your field, contributing to the directional strategy by identifying applications within your organization and the business. Your key responsibilities will include enhancing the current toolset with AI/ML capabilities, solutioning for identified use cases, building quick proof-of-concept to showcase solutions, collaborating with the larger AI/ML stream across the data organization, and utilizing your in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications. Additionally, you will be involved in formulating strategies for applications development and other functional areas, gaining comprehensive knowledge of how different business areas integrate to achieve business objectives, and providing evaluative judgment based on the analysis of factual data in complex and unique situations. To be successful in this role, you should have at least 10 years of experience in AI/ML, preferably within the financial industry. Hands-on experience in Python and utilizing ML Libraries such as TensorFlow, Scikit-learn, and Pytorch for Big Data is required. You should also have practical experience with LLMs and GenAI APIs (such as OpenAI GPT, Bard, etc.), applying Machine Learning or NLP models in real-time applications for large datasets, working with MLOPs and Model Deployment Pipelines, using PySpark and understanding big data concepts. Knowledge in Azure OpenAI, Google Vertex, and Stellar is considered a plus. Stakeholder management experience, demonstrated leadership skills, and proven project management skills are also essential for this role. A Bachelor's/University degree is required, with a Master's degree being preferred. This position falls under the Technology job family group and specifically in the Applications Support job family. It is a full-time role. If you require a reasonable accommodation due to a disability to use our search tools or apply for a career opportunity, please review the Accessibility at Citi information. For more details on Citis EEO Policy Statement and the Know Your Rights poster, please refer to the respective documents.,

You are an experienced Senior Machine Learning Engineer looking to leverage your expertise in building and deploying ML model pipelines at scale. As part of Salesforce's Marketing AI/ML Algorithms and Applications team, you will play a crucial role in developing high-impact ML solutions that enhance marketing effectiveness and deliver customer value. In this role, you will collaborate closely with Data Science, Data Engineering, Product, and Marketing teams to design, implement, and operate end-to-end ML solutions at scale. Your responsibilities will include designing and developing scalable ML platforms and pipelines, implementing MLOps best practices for model serving and lifecycle management, optimizing ML workflows for scale and performance, and collaborating with cross-functional teams to create ML-driven decision-making data products. You will also evaluate and adopt emerging ML technologies, lead the design and deployment of ML model pipelines, implement infrastructure-as-code and automation for efficient ML operations, support the rollout of ML features, define and implement ML governance policies, and contribute to scaling operations by developing automation scripts and reusable libraries. To excel in this role, you should have 5+ years of experience in building and deploying ML model pipelines at scale, expert-level knowledge of containerization, orchestration, and workflow management technologies, advanced Python skills, extensive experience with cloud-based ML platforms, a proven track record in implementing MLOps best practices, proficiency in ML frameworks and MLOps tools, strong problem-solving skills, and experience contributing to ML projects that deliver measurable business value in marketing or customer analytics. This position offers you an exciting opportunity to apply your machine learning engineering expertise to drive data and AI-driven innovation for Salesforce, the world's #1 CRM provider. By working closely with the Data Science team, you will unlock transformative value for Salesforce's global customer base through AI/ML-driven marketing initiatives. Join us in shaping the future of customer engagement powered by AI and be a part of our mission to empower companies to do well and do good.,

As a ML Specialist GenAI at Claidroid Technologies Pvt. Ltd., your primary responsibility will be to design, develop, and deploy scalable Generative AI systems. This role involves implementing LLM agents, RAG architectures, and MLOps pipelines, and managing the full GenAI product lifecycle. You will lead AI developers, build solutions using LLMs, Diffusion Models, and GenAI agents, and fine-tune models with LangChain, LangGraph, and promptflow. Deployment will utilize Azure, containerization, and CI/CD practices. It will be your duty to ensure model observability, optimize performance and cost, apply ethical AI principles, and effectively communicate insights to stakeholders. This position is based in Pune/Trivandrum with options for WFH/Hybrid, working from 11 AM to 8 PM IST, suitable for candidates with under a 30-day notice period. To excel in this role, you should possess 5-10 years of experience in ML Engineering and Generative AI. Proficiency in technologies like LLMs, RAG, Prompt Engineering, LangChain, LangGraph, promptflow, and Autogen is essential. Strong skills in Python, PyTorch/TensorFlow, FastAPI, and AsyncIO are required. Experience with CI/CD pipelines (specifically GitHub Actions), Docker, Kubernetes, Azure cloud services (preferred), or AWS/GCP is advantageous. Additionally, expertise in MLOps, model deployment, monitoring, performance tuning, and understanding of Responsible AI principles, bias mitigation, and model explainability are crucial for this role. Claidroid Technologies is a leader in digital transformation, specializing in Enterprise Service Management and Enterprise Security Management solutions. With headquarters in India and offices in Helsinki, Finland, and the USA, we aim to deliver bespoke services to a wider audience globally. Joining our team offers competitive compensation, a hybrid working model, generous benefits such as comprehensive health insurance and performance bonuses, as well as ample opportunities for career growth in a dynamic and innovative environment. Be part of our collaborative and inclusive work culture that values your contributions and supports your professional development.,

You are a highly skilled and motivated Technical Lead who will be joining our growing team. Your role will involve leading and delivering complex technical projects in areas such as AI/ML, Full Stack Development, and Cloud-based solutions. Your responsibilities will include overseeing the end-to-end execution of multiple software development projects, focusing on AI/ML initiatives and products to ensure timely delivery and high quality. You will be responsible for architecture design, technical planning, and code quality across the team, specifically for scalable AI/ML solutions, robust data pipelines, and integration of models into production systems. Collaboration with stakeholders, both internal and external, will be a key part of your role. You will gather requirements for AI/ML features, provide progress updates, and effectively manage expectations. Mentoring and guiding developers to foster a culture of continuous improvement and technical excellence, especially in AI/ML best practices, model development, and ethical AI considerations, will be essential. You will work closely with cross-functional teams, including QA, DevOps, and UI/UX designers, to seamlessly integrate AI/ML models and applications into broader systems. Implementing best practices in development, deployment, and version control with a strong emphasis on MLOps and reproducible AI/ML workflows is crucial. Tracking project milestones, managing technical risks, and ensuring that AI/ML projects align with overarching business goals will be part of your responsibilities. Participating in client calls to provide technical insights and solution presentations, demonstrating the value and capabilities of our AI/ML offerings, will be required. Driving research, experimentation, and adoption of cutting-edge AI/ML algorithms and techniques to enhance product capabilities is also expected from you. Required Skills: - Strong hands-on experience in at least one Fullstack framework (e.g., MERN stack, Python with React). - Proven experience managing and delivering end-to-end AI/ML projects or products. - Proficiency in major AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn. - Solid experience with data processing, feature engineering, and data pipeline construction for machine learning workloads. - Proficiency in project tracking tools like Jira, Trello, or Asana. - Solid understanding of SDLC, Agile methodologies, and CI/CD practices. - Strong knowledge of cloud platforms like AWS, Azure, or GCP, especially their AI/ML services. - Excellent problem-solving, communication, and leadership skills. Preferred Qualifications: - Bachelor's or Master's degree in a related field. - Experience with containerization technologies and microservices architecture. - Exposure to MLOps practices and tools. - Prior experience in a client-facing technical leadership role. - Familiarity with big data technologies. - Contributions to open-source AI/ML projects or relevant publications are a plus. (ref:hirist.tech),

As an experienced professional with over 2 years of experience, you will be responsible for designing, developing, and deploying Machine Learning / Artificial Intelligent models to address real-world challenges within our software products. Your role will involve collaborating with product managers, developers, and data engineers to establish AI project objectives and specifications. Additionally, you will be tasked with cleaning, processing, and analyzing extensive datasets to uncover valuable patterns and insights. Your expertise will be utilized in implementing and refining models using frameworks like TensorFlow, PyTorch, or Scikit-learn. You will also play a crucial role in creating APIs and services to seamlessly integrate AI models into production environments. Monitoring model performance and conducting retraining as necessary to uphold accuracy and efficiency will be part of your regular duties. It is essential to keep yourself abreast of the latest developments in AI/ML and assess their relevance to our projects. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related discipline. A strong grasp of machine learning algorithms, including supervised, unsupervised, and reinforcement learning, is imperative. Proficiency in Python and ML libraries such as NumPy, pandas, TensorFlow, Keras, and PyTorch is required. Familiarity with NLP, computer vision, or time-series analysis will be advantageous. Experience with model deployment tools and cloud platforms like AWS, GCP, or Azure is preferred. Knowledge of software engineering practices, encompassing version control (Git), testing, and CI/CD, is also essential. Candidates with prior experience in a product-based or tech-driven startup environment, exposure to deep learning, recommendation systems, or predictive analytics, and an understanding of ethical AI practices and model interpretability will be highly regarded. This is a full-time position requiring you to work during day shifts at our in-person work location.,

We're seeking a talented Machine Learning Engineer to lead the development of Agentic AI applications that transform how organizations interact with intelligent automation. You'll be at the forefront of building AI systems that don't just respond—they think, plan, and act autonomously to solve complex workflows. As one of our foundational AI team members, you'll design and deploy cutting-edge Generative AI models that power intelligent document automation and sophisticated agent-based workflows. This isn't just about implementing existing models—you'll be pushing the boundaries of what's possible with autonomous AI agents, creating systems that understand context, make decisions, and execute actions with minimal human intervention. What You'll Do AI Model Development & Deployment Build sophisticated agentic AI applications that enable autonomous decision-making and action execution Optimize and fine-tune large language models (LLMs) for specific use cases and performance requirements Develop novel approaches to agent reasoning, planning, and tool usage Production ML Systems Build and maintain robust ML pipelines ensuring high performance, scalability, and reliability in production Implement comprehensive evaluation frameworks to assess the effectiveness of generative models and agent-based solutions Design monitoring and feedback systems that enable continuous model improvement Optimize inference performance and cost efficiency at scale Innovation & Research Stay ahead of cutting-edge AI advancements, rapidly prototyping and implementing novel solutions Experiment with emerging agentic frameworks and contribute to the evolution of autonomous AI systems Collaborate with the research community through open-source contributions and knowledge sharing Drive technical innovation that gives Joist AI competitive advantages Cross-Functional Collaboration Partner with Product and Engineering teams to integrate AI solutions seamlessly into our platform Work with Product Marketing to translate technical capabilities into user-facing value propositions Collaborate with Customer Success to understand real-world usage patterns and optimization opportunities Mentor other engineers and contribute to building our AI engineering culture What You Bring Core Qualifications Degree in Computer Science, Mathematics, AI, or related technical field 5+ years of Machine Learning experience with recent focus on generative AI and autonomous agents Strong expertise in deep learning frameworks (PyTorch or TensorFlow) Hands-on experience with LLMs (OpenAI, Claude, Mistral, Llama) and diffusion models Proficiency in Python and experience with agentic libraries (Langraph, LlamaIndex, Crew AI, etc.) Technical Expertise Deep understanding of RAG, embeddings, and vector databases (FAISS, Pinecone, Weaviate) Experience with fine-tuning LLMs, prompt engineering, and reinforcement learning techniques Proven track record building AI-driven applications with APIs, cloud platforms, and microservices Strong problem-solving skills with ability to tackle open-ended, ambiguous challenges independently Mindset & Approach Passion for solving complex problems and learning cutting-edge technologies Strong sense of ownership and pride in delivering high-quality solutions Excellent collaboration skills and thrives in team environments Care deeply about scalability, reliability, and production-ready systems Experience We'd Be Particularly Excited About Deep expertise in NLP, computer vision, or multi-modal AI applications Production experience deploying AI models on AWS (Lambda, Step Functions, S3, RDS) Strong MLOps practices including model monitoring, A/B testing, and continuous improvement Open-source contributions, Kaggle competitions, or published research in GenAI Experience with agent frameworks and tool-calling mechanisms Background in distributed systems and high-performance computing What we offer Competitive salary Flexible PTO and remote work options Access to latest AI tools, compute resources, and research papers Opportunity to shape the future of autonomous AI applications Collaborative, innovation-driven culture with direct access to leadership Conference speaking opportunities and support for open-source contributions Our Interview Process We conduct a thorough but respectful interview process designed to assess both technical skills and cultural fit: Introductory Call (30 min) – Learn about Joist AI's mission and discuss your background and interests Technical Deep Dive (45 min) – Explore your experience with ML systems, agentic AI, and problem-solving approach Take-Home Project – Design and implement a solution that demonstrates your ML engineering skills Project Review & Team Fit (60 min) – Present your solution, discuss technical decisions, and meet potential teammates Typical timeline: 2 weeks from application to offer Ready to Apply? If you're excited about pioneering the next generation of Agentic AI applications and want to build autonomous systems that genuinely transform how work gets done, we'd love to hear from you. Send your resume along with: A brief note about why you're passionate about AI-driven automation Links to relevant projects, papers, or open-source contributions (if applicable) What excites you most about building agentic AI systems

Join the leader in entertainment innovation and help design the future at Dolby. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you'll see and hear the results of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment worldwide. To achieve this, Dolby seeks the absolute best talent. Dolby offers a collegial culture, challenging projects, excellent compensation and benefits, and a Flex Work approach that is truly flexible to support where, when, and how you do your best work. At Dolby, the aim is to change the way the world experiences sight and sound. Dolby enables people to experience music, movies, videos, and pictures in all their intended grandeur, making life and work more meaningful and immersive. Dolby provides technology to content creators, owners, distributors, manufacturers of TV, mobile, and PC, as well as social and media platforms, so they can truly delight their customers. Advanced Technology Group (ATG) is the research and technology arm of Dolby Labs, focusing on innovating technologies in audio, video, AR/VR, gaming, music, and movies. Various areas of expertise related to computer science and electrical engineering are highly relevant to the research conducted by ATG. As a talented Applied Researcher at Dolby, you will have the opportunity to advance the state of the art in technologies of interest to Dolby and society at large. Research areas at Dolby Laboratories include large-scale cloud and edge data platforms and services, accelerating insight discovery from data, and topics such as distributed systems, stream processing, edge computing, applied machine learning and AI, big graphs, natural language processing, big data management, and heterogeneous data analytics. Key Responsibilities: - Develop platforms and tools to enable interactive and immersive data-driven experiences utilizing AI-based techniques. - Deploy AI/ML training and inference algorithms in distributed computing environments. - Partner with ATG researchers on opportunities in adjacent research domains such as applied AI and machine learning in audio/video domains. Requirements for Success: - Technical depth: Ability to implement scalable AI/ML libraries and platforms for real-time processing and knowledge of Audio/Video streaming formats. - Openness to explore new technologies and innovate in new areas. - Ability to invent and innovate technologies that enhance the sight and sound associated with digital content consumption. - Sense of urgency to respond to changing trends and technologies. - Collaborative mindset to work with peers and external partners to develop industry-leading technologies. Background: - PhD in Computer Science or related field with proven R&D experience or exceptional Master's candidates with 4+ years of experience. - Expertise in deep learning frameworks and ML libraries such as TensorFlow, PyTorch, scikit-learn, Spark MLLib. - Experience in large-scale distributed systems like Hadoop, Spark, etc. - Proficiency in Python, C++, or related languages. - Strong analytical, problem-solving, communication, and presentation skills. - Experience with AWS, GCP, DevOps, CI/CD, and UNIX/Linux commands. - Strong publication record in leading IEEE, ACM conferences and journals. Join Dolby and be part of a team that is shaping the future of entertainment technology with innovative research and cutting-edge solutions.,

As the Senior AI Researcher at Dolby, you will be an integral part of our research efforts to pioneer the next generation of AI-based audio and video technologies. Collaborating with our world-class audio and vision experts, you will be at the forefront of inventing new multimedia analysis, processing, and rendering technologies. Your contributions will explore new horizons in audio processing, analysis, replay, and organization, playing a crucial role in performing fundamental research, technology transfer, and drafting patent applications. Your primary responsibility will be to push the boundaries of state-of-the-art in audio and media technologies, requiring a strong background in deep learning both conceptually and practically. You will stay updated with the latest literature, implement cutting-edge generative models, self-supervised learning, and multi-modal learning to innovate and drive impactful projects. Collaboration with Dolby's Applied AI team will allow you to integrate advanced technologies into next-generation audio and media experiences, focusing on audio models, language models, vision-language systems, captioning, and more. You will work closely with domain experts to refine and execute Dolby's technical strategy in artificial intelligence and machine learning, leveraging deep learning to create new solutions, enhance existing applications, and develop intellectual property. Your expertise in audio processing, along with knowledge in video or text processing, will be invaluable. Additionally, your strong publication record in major machine learning conferences and proficiency in Python and deep learning frameworks like TensorFlow or PyTorch will be essential to envision new technologies and transform them into innovative products. If you hold a Ph.D. in Computer Science or a similar field, possess a keen interest in audio processing, and have a solid foundation in deep learning, we encourage you to join us at Dolby. Your ability to envision new technologies, communicate effectively, and collaborate seamlessly will be key in driving our research direction and influencing business decisions with your expertise.,

You will be responsible for: - Working with automation protocols such as OPC UA and MQTT - Programming robotics using languages like C++ and Python - Utilizing Mitsubishi PLC, Kinco HMI, Vision camera, and LabVIEW for programming - Implementing machine learning frameworks like TensorFlow and PyTorch Your main duties will include leading Industry 4.0 initiatives to enhance automated machines and digitalization. You will also oversee maintenance operations, ensure equipment reliability, and optimize plant performance. Qualifications: - Minimum of 8 years of experience in a similar role within the Industry 4.0 or related field - Educational background in Engineering This is a full-time, permanent position with a day shift schedule from Monday to Friday. The preferred education level is a Bachelor's degree. Experience with Selenium is also preferred. Work Location: In person,

As a QA Automation Engineer Fresher, you will be an integral part of the Quality Assurance team, collaborating with developers, product managers, and senior QA engineers to ensure software quality. Your primary responsibilities will include understanding user requirements, developing test scenarios, and automating test cases using Python-based frameworks. You will play a crucial role in identifying bugs, executing manual and automated tests, and enhancing test coverage through tools like Selenium and PyTest. Additionally, you will be involved in defect tracking, log analysis, and creating Requirement Traceability Matrix (RTM) to ensure effective quality reporting. To excel in this role, you must possess a strong understanding of Python 3, experience with test automation frameworks, and familiarity with the software testing life cycle. Proficiency in tools like Jira or Bugzilla for defect tracking, as well as basic command-line operations on Linux, will be essential. Knowledge of containers, Docker operations, and Git version control system will also be beneficial. While exposure to Computer Vision software, PyTorch, AWS, and DevOps concepts are considered advantageous, a background in B.Tech / BE / MCA / M.Sc in Computer Science, IT, or related field with a minimum of 60% marks or 7+ CGPA is required. Joining us will provide you with hands-on experience in QA automation projects, exposure to cutting-edge technologies, mentorship from industry experts, and a fast-paced learning environment. This opportunity also offers the potential for full-time conversion upon successful completion of the internship.,

Role Description This is a full-time role for an AI Engineer specializing in Vertex AI and GCP at Tek Artisans LLC. The AI Engineer will be responsible for designing, developing, and implementing machine learning models, including pattern recognition and neural networks. The role involves natural language processing (NLP) and software development to create effective AI solutions. This is an on-site role located in Hyderabad. 🚀 We're Hiring: AI Engineer – Vertex AI / GCP 📍 Location: India (Remote – Must work in US timings) 🔐 Client: Confidential (Security-Focused Team) We’re looking for an AI Engineer with strong experience in Vertex AI and GCP to help our cloud security team improve IAM and access control using AI-driven automation. 🔧 Key Responsibilities: Use Vertex AI to detect and fix misconfigured IAM roles in GCP Automate access governance and least-privilege enforcement Deploy ML pipelines using Vertex AI Pipelines , BigQuery , Cloud Functions Collaborate with cloud security and engineering teams Manage ML model lifecycle and performance monitoring ✅ Requirements: 5+ years in AI/ML engineering or cloud automation 2+ years hands-on with Vertex AI + GCP Strong knowledge of GCP IAM Proficient in Python , TensorFlow, PyTorch, or scikit-learn Experience with MLOps practices and secure ML deployment 📩 Interested? Send your resume to: mark@tekdallas.com Let’s build secure, intelligent cloud solutions together!

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.,