8735 Pytorch Jobs - Page 8

The Data Science & Analysis team in India is looking for a skilled professional to join our dynamic team. As a member of our team, you will be responsible for designing, training, and fine-tuning advanced foundational models such as text, audio, and vision using healthcare and other relevant datasets. Your focus will be on accuracy and context relevance to ensure the efficiency of our solutions. Collaboration with cross-functional teams including Business, engineering, and IT is key in seamlessly integrating AI/ML technologies into our solution offerings. You will also play a crucial role in deploying, monitoring, and managing AI models in a production environment, ensuring high availability, scalability, and performance. Staying updated with the latest advancements in AI/ML and industry trends is essential to drive innovation within the team. Adherence to industry standards and regulatory requirements, such as HIPAA, is paramount in developing AI solutions. You will be responsible for developing and maintaining comprehensive documentation for AI models, providing technical guidance and mentorship to junior AI engineers, and collaborating with stakeholders to understand and translate business needs into technical requirements. To be successful in this role, you should hold a Bachelors or Masters degree in computer science, Artificial Intelligence, Machine Learning, or a related field. With a minimum of 10 years of industry experience, including at least 5 years of hands-on experience in AI/ML, you should have a strong proficiency in Python and familiarity with popular AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. Experience in deploying and managing AI models in production environments, expertise in serving and inference frameworks, and practical experience in Voice AI applications are desirable skills. Additionally, familiarity with healthcare data standards, regulatory compliance, cloud computing platforms, and containerization technologies will be beneficial in this role. If you have experience with federated learning, privacy-preserving AI techniques, synthetic data generation for healthcare model training, and knowledge of healthcare, it would be considered a plus. Your ability to evaluate and select GenAI models based on performance, cost, and compliance factors will be highly valued. Guidehouse offers a comprehensive total rewards package including competitive compensation and flexible benefits. We are an Equal Opportunity Employer and encourage individuals with diverse backgrounds to apply. If you require accommodation during the application process, please contact Guidehouse Recruiting for assistance. Join us at Guidehouse and be a part of a team that values innovation, collaboration, and diversity in a supportive workplace environment.,

Job Information Date Opened 07/31/2025 Job Type Full time Work Experience 5+ years Industry Technology City Hyderabad State/Province Telangana Country India Zip/Postal Code 500032 Job Description About Kanerika: Who we are: Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth. Awards and Recognitions Kanerika has won several awards over the years, including: CMMI Level 3 Appraised in 2024. Best Place to Work 2022 & 2023 by Great Place to Work®. Top 10 Most Recommended RPA Start-Ups in 2022 by RPA today. NASSCOM Emerge 50 Award in 2014. Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture. Recognized for ISO 27701, 27001, SOC2, and GDPR compliances. Featured as Top Data Analytics Services Provider by GoodFirms. Working for us Kanerika is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people’s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees. Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you’ll get while working for Kanerika. Locations We are located in Austin (USA), Singapore, Hyderabad, Indore and Ahmedabad (India). Job Location: Hyderabad, Indore and Ahmedabad (India) Requirements Key Responsibilities: Lead the design and development of AI-driven applications, particularly focusing on RAG-based chatbot solutions. Architect robust solutions leveraging Python and Java to ensure scalability, reliability, and maintainability. Deploy, manage, and scale AI applications using AWS cloud infrastructure, optimizing performance and resource utilization. Collaborate closely with cross-functional teams to understand requirements, define project scopes, and deliver solutions effectively. Mentor team members, providing guidance on best practices in software development, AI methodologies, and cloud deployments. Ensure solutions meet quality standards, including thorough testing, debugging, performance tuning, and documentation. Continuously research emerging AI technologies and methodologies to incorporate best practices and innovation into our products. - Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics or related fields. At least 5 years of professional experience in AI/Machine Learning engineering. Strong programming skills in Python and Java. Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)-based chatbots or similar generative AI applications. Proficiency in cloud platforms, particularly AWS, including experience with EC2, Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway. Solid understanding of AI methodologies, including natural language processing (NLP), vector databases, embedding models, and large language model integrations. Experience with leading projects or teams, managing technical deliverables, and ensuring high-quality outcomes. AWS certifications (e.g., AWS Solutions Architect, AWS Machine Learning Specialty). Familiarity with popular AI/ML frameworks and libraries such as Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or similar. Experience in Agile development methodologies. Excellent communication skills, capable of conveying complex technical concepts clearly and effectively. Strong analytical and problem-solving capabilities, with the ability to navigate ambiguous technical challenges. Benefits Employee Benefits 1. Culture: a. Open Door Policy: Encourages open communication and accessibility to management. b. Open Office Floor Plan: Fosters a collaborative and interactive work environment. c. Flexible Working Hours: Allows employees to have flexibility in their work schedules. d. Employee Referral Bonus: Rewards employees for referring qualified candidates. e. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. 2. Inclusivity and Diversity: a. Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. b. Mandatory POSH training: Promotes a safe and respectful work environment. 3. Health Insurance and Wellness Benefits: a. GMC and Term Insurance: Offers medical coverage and financial protection. b. Health Insurance: Provides coverage for medical expenses. c. Disability Insurance: Offers financial support in case of disability. 4. Child Care & Parental Leave Benefits: a. Company-sponsored family events: Creates opportunities for employees and their families to bond. b. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. c. Family Medical Leave: Offers leave for employees to take care of family members' medical needs. 5. Perks and Time-Off Benefits: a. Company-sponsored outings: Organizes recreational activities for employees. b. Gratuity: Provides a monetary benefit as a token of appreciation. c. Provident Fund: Helps employees save for retirement. d. Generous PTO: Offers more than the industry standard for paid time off. e. Paid sick days: Allows employees to take paid time off when they are unwell. f. Paid holidays: Gives employees paid time off for designated holidays. g. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one. 6. Professional Development Benefits: a. L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. b. Mentorship Program: Offers guidance and support from experienced professionals. c. Job Training: Provides training to enhance job-related skills. d. Professional Certification Reimbursements: Assists employees in obtaining professional certifications. e. Promote from Within: Encourages internal growth and advancement opportunities.

As a Senior Data Scientist, you will utilize your expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services to design, develop, and deploy advanced AI/ML models. Your role will involve solving complex business problems by building, training, and optimizing AI models using Python and relevant ML frameworks. You will implement Azure AI/ML services for scalable deployment and integrate APIs for real-time model inference. Working with large-scale data, you will extract insights to drive strategic initiatives and collaborate with cross-functional teams to integrate AI/ML solutions into applications. Your responsibilities will include designing and developing ML, NLP, and GenAI models, implementing Azure AI/ML services, developing APIs for model deployment, and working with large-scale data to extract insights. You will collaborate with cross-functional teams, implement CI/CD pipelines, ensure adherence to software engineering best practices, stay updated on AI/ML advancements, conduct research on emerging trends, provide technical mentorship, and optimize model performance in a production environment. To excel in this role, you must have proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn, hands-on experience in NLP techniques, expertise in Generative AI models, knowledge of Azure AI/ML services, and experience in developing APIs for model deployment. Familiarity with CI/CD pipelines, software engineering principles, Agile methodologies, statistical analysis, data mining, and data visualization is essential. Preferred qualifications include experience in MLOps, knowledge of vector databases, and exposure to big data processing frameworks. Joining our team as a Senior Data Scientist will offer you a full-time or part-time permanent position with benefits such as health insurance and provident fund. You will work day shifts from Monday to Friday with weekend availability and have the opportunity for performance bonuses. With a minimum of 8 years of experience in Python, Azure AI/ML services, and Senior Data Scientist roles, you will contribute to innovative solutions and drive data-driven decision-making in a collaborative environment.,

As a Senior AI Engineer with React Native expertise, you will be responsible for developing and integrating AI features using various LLMs such as Norah AI, OpenAI GPT, Google Gemini, and Claude. Your tasks will include creating AI-driven onboarding processes, recommendations, virtual assistants, and news digests. Additionally, you will implement instant voice translation through the Google Translate API, personalized notifications based on user preferences and location, and optimize AI models for mobile platforms like TensorFlow Lite and Core ML to ensure low latency, offline support, and battery efficiency. In the realm of React Native front-end development, you will be tasked with building responsive, cross-platform UI/UX features such as onboarding flows, event booking systems, concierge chat interfaces, and navigation components. You will integrate real-time functionalities like WebSockets, Firebase push notifications, and third-party APIs such as Almosafer, BlackLane, Uber, BLE beacons, and Marcom. Ensuring accessibility, security measures like OAuth and JWT, and cultural alignment for example, understanding Saudi etiquette will also be crucial aspects of your responsibilities. Your role will involve feature implementation across various areas including onboarding and personalization, booking and planning, concierge services and AI assistant functionalities, navigation and real-time capabilities, engagement and security features, as well as admin support for analytics, event monitoring, and emergency alerts. You will be required to test AI accuracy, bias, and mobile performance, optimizing for offline usage, real-time updates, and accessibility. Collaboration with cross-functional teams to align with MoT protocols and documenting AI pipelines and React Native code will be essential parts of your job. To qualify for this position, you should have at least 5 years of experience in AI engineering, with a minimum of 3 years of experience integrating AI into React Native mobile apps for iOS and Android platforms. You should possess expertise in AI/ML frameworks like TensorFlow, PyTorch, and Hugging Face, as well as familiarity with LLMs such as OpenAI and Google Gemini. Proficiency in React Native, JavaScript/TypeScript, Redux, and UI libraries like React Native Elements is required. Strong skills in API integrations, voice APIs like Google Translate, real-time systems, and secure authentication methods are also necessary. Knowledge of mobile AI optimization techniques and navigation technologies is a plus. A Bachelor's or Master's degree in Computer Science, AI/ML, or a related field is preferred for this role. In addition to technical skills, you should have strong problem-solving abilities, collaboration skills, and effective communication with both technical and non-technical stakeholders. This is a full-time position located in person. When applying, please specify your notice period and total experience of 4 years.,

We are looking for a highly skilled and experienced Senior AI Engineer to take charge of designing, developing, and implementing cutting-edge AI systems. Your role will involve working on advanced machine learning models, natural language processing, computer vision, and AI infrastructure to address real-world challenges and foster innovation across our products and services. As a Senior AI Engineer, your key responsibilities will include designing, developing, and deploying scalable AI/ML models for production environments. You will lead end-to-end AI project lifecycles, starting from data collection and preprocessing to model training, evaluation, and deployment. Collaboration with cross-functional teams comprising data scientists, software engineers, and product managers will be essential. Moreover, you will be tasked with optimizing model performance to ensure robustness, fairness, and explainability, while staying abreast of the latest AI and machine learning research and advancements. Mentoring junior engineers and contributing to the establishment of a robust AI engineering culture will also be part of your role. The ideal candidate should possess a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred) along with a minimum of 5 years of experience in AI/ML engineering, showcasing a strong portfolio of deployed models. Proficiency in Python and ML libraries like TensorFlow, PyTorch, Scikit-learn, etc., as well as experience with cloud platforms (AWS, Azure) and MLOps tools are required. A solid grasp of data structures, algorithms, and software engineering principles is crucial, along with excellent problem-solving and communication skills. Preferred qualifications for this role include experience with LLMs, RAG, or agentic AI (Crew AI) systems, familiarity with vector databases, prompt engineering, and AI safety practices, contributions to open-source AI projects or published research papers, and experience with real-time inference systems and edge AI.,

As a Backend + ML Engineer at our company, you will be responsible for building scalable APIs, managing secure patient data flow, and supporting AI model integration. Your role will involve collaborating with AI engineers, front-end developers, and field researchers to operationalize models for real-time use, particularly on edge devices. Your key responsibilities will include designing and developing robust backend systems to handle real-time patient data and ML outputs, integrating machine learning models with APIs and the main O-Health app, optimizing model serving pipelines, managing data pipelines for de-identified OPD datasets, implementing data encryption and anonymization, setting up backend support for multilingual voice and text processing, and supporting versioning and A/B testing of health algorithms. To excel in this role, you should have expertise in Backend Engineering, including strong proficiency in Python with frameworks like FastAPI, Flask, or Django, experience with RESTful APIs, WebSockets, and asynchronous data flows, familiarity with databases such as PostgreSQL, MongoDB, or time-series databases, and working knowledge of Docker, Git, and CI/CD pipelines. Additionally, you should possess skills in Machine Learning Ops, such as hands-on experience with PyTorch, Scikit-learn, or TensorFlow, model optimization, quantization, and edge deployment formats, familiarity with language models and multilingual NLP, and knowledge of data preprocessing and feature engineering for clinical/NLP tasks. Preferred skills for this role include an understanding of HIPAA/GDPR compliance and experience working on healthcare, social impact, or AI-for-good projects. In this position, you will have a significant impact on connecting machine learning research with field-ready healthcare tools, scaling diagnosis support systems to underserved patients, and enabling multilingual health consultations in real-time. Join us in making a difference in the healthcare industry and contributing to the improvement of patient care.,

As a Senior AI Developer/ AI Architect in the AI team, you will have the opportunity to collaborate with and mentor a team of developers. Your primary focus will be on the Fusion AI Team and its AI engine AI Talos, where you will work with Large language models, simulations, and Agentic AI to deliver cutting-edge AI capabilities in the service management space. Your responsibilities will include developing intricate python-based AI code to ensure the successful delivery of advanced AI functionalities. Additionally, you will play a crucial role in team mentoring, guiding junior/mid-level developers in managing their workload efficiently and ensuring tasks are completed according to the product roadmap. Innovation will be a key aspect of your role, where you will lead the team in staying updated on the latest AI trends, especially focusing on large language models and simulations. Furthermore, you will be responsible for software delivery to customers while adhering to standard security practices. To qualify for this role, you should possess a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Being Agile trained and practiced is also essential for this position. The ideal candidate will have at least 7 years of experience in developing AI/Data Science solutions, with a senior level of involvement. Proficiency in Python and its libraries such as Pydantic, Pytorch, Pyarrow, Scikit, Hugging Face, and Pandas is required. Extensive knowledge of AI models and usage, including Llama2, Mistral AI, training models for classification, and RAG architecture, is necessary. Experience as a full-stack developer and familiarity with tools like GitHub, Jira, Docker, as well as GPU-based services architecture and setup, are advantageous. In terms of competencies, strong interpersonal and communication skills are essential. You will collaborate with teams across the business to create end-to-end high-value use cases and effectively communicate with senior management regarding requirement deadlines. Your excellent collaboration and leadership skills will ensure that the team remains motivated and is working efficiently towards set targets. If you are ready to take on this challenging role and contribute to the advancement of AI technologies, we encourage you to apply now at Future@fusiongbs.com.,

As a Computer Vision Architect with 10-15 years of experience, you will be responsible for leading the development of advanced computer vision systems. Your role will involve managing dataset generation, improving image processing techniques, and overseeing model training and pattern recognition projects. You must be proficient in Python and related libraries such as OpenCV, TensorFlow, and PyTorch, with a solid understanding of linear algebra, calculus, and statistics. Your key responsibilities will include leading the computer vision team, providing mentorship and guidance to junior members, developing and implementing strategies for advanced computer vision projects, and collaborating with cross-functional teams to integrate computer vision solutions into products. You will design, develop, and optimize models for image classification, object detection, and segmentation. Additionally, you will innovate and implement state-of-the-art algorithms and techniques for pattern recognition and face detection. In terms of dataset generation and image processing, you will oversee the creation and management of large-scale datasets for training and evaluation. You will also enhance image processing pipelines, focusing on techniques like noise reduction and data compression. As part of model training and evaluation, you will lead the end-to-end process of model training, validation, and deployment. You will utilize Python and relevant libraries (OpenCV, TensorFlow, PyTorch) for model development and training, ensuring models meet accuracy and performance standards through rigorous testing and iteration. Your technical expertise will be crucial in applying strong mathematical foundations in linear algebra, calculus, and statistics to solve complex computer vision problems. It is important to stay updated with the latest research and advancements in the fields of computer vision and machine learning. In terms of project management, you will be responsible for managing multiple projects simultaneously, ensuring timely delivery and adherence to project requirements. Effective communication of progress, challenges, and results to stakeholders is key. To qualify for this role, you should have a Bachelors or Masters degree in Computer Science, Electrical Engineering, Mathematics, or a related field. You should have a proven track record of leading successful computer vision projects and possess excellent problem-solving skills, attention to detail, and strong communication and collaboration skills. Preferred qualifications include publications or patents in the field of computer vision, experience with edge computing and real-time image processing, and familiarity with other programming languages and frameworks related to AI and machine learning.,

You should have 3-5 years of experience in writing and debugging intermediate to advance level Python code with a good understanding of concepts related to OOPS, APIs, and SQL Databases. Additionally, you should possess a strong grasp of fundamental basics of Generative AI, large language models (LLMs) pipelines like RAG, Open AI GPT models, and experience in NLP and Langchain. It is essential to be familiar with the AWS environment and services like S3, lambda, Step Functions, CloudWatch, etc. You should also have excellent analytical and problem-solving skills and be capable of working independently as well as collaboratively in a team-oriented environment. An analytical mind and business acumen are also important qualities for this role. You should demonstrate the ability to engage with client stakeholders at multiple levels and provide consultative solutions across different domains. It would be beneficial to have familiarity with Python libraries and frameworks such as Pandas, Scikit-learn, PyTorch, TensorFlow, BERT, GPT, or similar models, along with experience in Deep Learning and machine learning.,

We are looking for a highly skilled and motivated Senior Data Scientist with 3–5 years of hands-on experience in Machine Learning , Deep Learning , and Large Language Models (LLMs) . The ideal candidate should have strong experience working with Microsoft technologies and Azure Cloud and should be passionate about building scalable AI solutions that drive real business value. You will work closely with cross-functional teams to design, develop, and deploy data-driven models and solutions, leveraging the latest in cloud computing and AI innovations. Responsibilities: Design and develop advanced ML/DL models for predictive analytics, natural language processing, computer vision, and recommendation systems. Build and fine-tune LLMs and deploy them effectively on Azure Machine Learning or other Microsoft AI platforms. Collaborate with data engineers and cloud architects to implement end-to-end ML pipelines on Azure. Apply Deep Learning techniques using frameworks like TensorFlow, PyTorch, or Hugging Face. Conduct exploratory data analysis and identify key trends and insights to inform business decisions. Work on large-scale datasets and implement scalable solutions for model training and deployment. Ensure models are monitored, maintained, and retrained as needed to meet performance standards. Contribute to the design of data architecture and infrastructure for AI applications on Azure. Keep up-to-date with advancements in AI, ML, LLMs, and related Microsoft technologies. Qualifications: Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 3–5 years of relevant experience in data science, machine learning, and AI. Strong experience with Azure Cloud Services including Azure ML, Azure Data Lake, and Azure Functions. Proven experience in Machine Learning, Deep Learning, and working with LLMs. Proficiency in Python, with experience in libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, or Hugging Face Transformers. Solid understanding of Microsoft’s ecosystem and AI stack (e.g., Cognitive Services, Azure OpenAI, Microsoft Fabric, etc.). Familiarity with MLOps practices and tools on Azure. Strong analytical thinking, problem-solving skills, and communication abilities. Ability to work in a collaborative and fast-paced environment.

You will be responsible for developing and optimizing AI/ML models using Python across various applications. Your role will involve conducting Research & Development (R&D) to implement cutting-edge AI methodologies and working with Large Language Models (LLMs) for NLP, text generation, and conversational AI applications. It will also include applying Predictive Analysis techniques to derive data-driven insights and enhance decision-making processes. Collaboration with cross-functional teams to integrate AI solutions seamlessly into business processes is a key aspect of this role. Additionally, staying updated with the latest advancements in AI and ML to improve model performance is crucial. To excel in this position, you must possess a strong proficiency in Python and its AI/ML libraries such as TensorFlow, PyTorch, and Scikit-learn. Previous experience in Research & Development (R&D) for AI and machine learning applications is highly desirable. Hands-on experience with Large Language Models (LLMs) like GPT, BERT, or similar architectures is essential. Expertise in Predictive Analysis, which includes statistical modeling and machine learning techniques, will be a significant part of your responsibilities. Strong problem-solving skills and the ability to work effectively with large datasets are essential. Knowledge of cloud platforms like AWS, GCP, or Azure would be advantageous. The ideal candidate should hold a Masters or Ph.D. in Computer Science, AI, Data Science, or a related field. Experience with MLOps, model deployment, and API integration is preferred. Familiarity with data visualization tools and frameworks will be an added advantage. With 6-8 years of experience, your primary skill set should revolve around AI/ML Development, with additional expertise in TensorFlow and NLP.,

As a Sr. Software Engineer specializing in AI, you will be a crucial part of Occams Advisory's AI Initiative. Your primary responsibility will be to lead the development of AI-driven solutions, generative AI, and AI business applications that have a significant impact on various domains. If you are passionate about AI, LLMs, and APIs, and are well-versed in tokens, embeddings, and temperature settings, this role is tailor-made for you. Your expertise will be instrumental in steering the end-to-end execution of AI models, starting from conceptualization and training to optimization and deployment. The role necessitates a profound understanding of AI evolution, particularly in the realms of LLMs, AI Business applications, and generative models, ensuring that the AI solutions are not only innovative but also scalable and effective. You will play a pivotal role in developing LLM-Powered Business Solutions by creating robust applications leveraging frameworks like OpenAI and Langchain. Your proficiency in implementing Retrieval-Augmented Generation (RAG) Pipelines, advanced prompt engineering, and API and Microservices Development will be critical in enhancing user interactions and integrating AI functionalities seamlessly. Collaborating with cross-functional teams and ensuring performance optimization and quality assurance will also be part of your responsibilities. To excel in this role, you should hold a Bachelor's or Master's degree in computer science, Data Science, Engineering, or a related field, with at least 2 years of experience in integrating OpenAI, Gemini, Lambda, Llama, Langchain into business scenarios. Proficiency in node.js, AI frameworks like TensorFlow and PyTorch, as well as expertise in LLMs, transformers, embeddings, and generative AI are essential. Additionally, experience in AI model optimization, API development, cloud platforms (OpenAI, AWS, Azure, Google Cloud), and handling large datasets for AI training is required. Occams Advisory offers a comprehensive benefits package that includes health insurance for you and your dependents, provident fund, a fixed CTC budget for learning opportunities, a market-leading leave policy, paid holidays, employee recognition & rewards, and a culture that values meritocracy. If you are a proactive, analytical, and detail-oriented professional who thrives on challenges and is eager to contribute to a culture of excellence and impact, we encourage you to apply for this exciting opportunity as a Sr. Software Engineer (AI) with Occams Advisory.,

As a Lead AI ML Developer at Reverence Technologies, you will be leading a team of machine learning and computer vision engineers to deliver high-quality AI/ML solutions for video analytics projects. In this full-time onsite role, located in Noida & Kochi, you will be responsible for collaborating with cross-functional teams to understand business requirements, develop project plans, and ensure the scalability and maintainability of AI/ML solutions. With over 10 years of experience, you will leverage your expertise in developing and deploying machine learning models to guide the team towards successful project outcomes. Your role will involve staying updated with the latest AI/ML research and technologies to evaluate their impact on business operations, in addition to managing team performance, providing mentorship, and fostering a positive team culture. To qualify for this position, you should have a minimum of 6 years of experience in developing and deploying machine learning models, along with at least 3 years of experience in leading machine learning teams. Strong programming skills in C++ and other relevant languages are essential, as well as familiarity with machine learning libraries such as OpenCV, OpenVino, TensorFlow, PyTorch, etc. Experience with cloud platforms like AWS, GCP, or Azure will be advantageous, along with excellent communication and interpersonal skills to collaborate effectively with cross-functional teams.,

Chubb is a world-renowned insurance leader with operations spanning across 54 countries and territories, offering a wide range of commercial and personal insurance solutions. Known for its extensive product portfolio, robust distribution network, exceptional financial stability, and global presence, Chubb is committed to providing top-notch services to its diverse clientele. The parent company, Chubb Limited, is publicly listed on the New York Stock Exchange (NYSE: CB) and is a constituent of the S&P 500 index, boasting a workforce of around 43,000 individuals worldwide. For more information, visit www.chubb.com. Chubb India is embarking on an exciting digital transformation journey fueled by a focus on engineering excellence and analytics. The company takes pride in being officially certified as a Great Place to Work for the third consecutive year, underscoring its culture that nurtures innovation, growth, and collaboration. With a talented team of over 2500 professionals, Chubb India promotes a startup mindset that encourages diverse perspectives, teamwork, and a solution-oriented approach. The organization is dedicated to honing expertise in engineering, analytics, and automation, empowering its teams to thrive in the ever-evolving digital landscape. As a Full Stack Data Scientist within the Advanced Analytics team at Chubb, you will play a pivotal role in developing cutting-edge data-driven solutions using state-of-the-art machine learning and AI technologies. This technical position involves leveraging AI and machine learning techniques to automate underwriting processes, enhance claims outcomes, and provide innovative risk solutions. Ideal candidates for this role possess a solid educational background in computer science, data science, statistics, applied mathematics, or related fields, coupled with a penchant for solving complex problems through innovative thinking while maintaining a keen focus on delivering actionable business insights. You should be proficient in utilizing a diverse set of tools, strategies, machine learning algorithms, and programming languages to address a variety of challenges. Key Responsibilities: - Collaborate with global business partners to identify analysis requirements, manage deliverables, present results, and implement models. - Leverage a wide range of machine learning, text and image AI models to extract meaningful features from structured and unstructured data. - Develop and deploy scalable and efficient machine learning models to automate processes, gain insights, and facilitate data-driven decision-making. - Package and publish codes and solutions in reusable Python formats for seamless integration into CI/CD pipelines and workflows. - Ensure high-quality code that aligns with business objectives, quality standards, and secure web development practices. - Build tools for streamlining the modeling pipeline, sharing knowledge, and implementing real-time monitoring and alerting systems for machine learning solutions. - Establish and maintain automated testing and validation infrastructure, troubleshoot pipelines, and adhere to best practices for versioning, monitoring, and reusability. Qualifications: - Proficiency in ML concepts, supervised/unsupervised learning, ensemble techniques, and various ML models including Random Forest, XGBoost, SVM, etc. - Strong experience with Azure cloud computing, containerization technologies (Docker, Kubernetes), and data science frameworks like Pandas, Numpy, TensorFlow, Keras, PyTorch, and sklearn. - Hands-on experience with DevOps tools such as Git, Jenkins, Sonar, Nexus, along with data pipeline building, debugging, and unit testing practices. - Familiarity with AI/ML applications, Databricks ecosystem, and statistical/mathematical domains. Why Chubb - Join a leading global insurance company with a strong focus on employee experience and a culture that fosters innovation and excellence. - Benefit from a supportive work environment, industry leadership, and opportunities for personal and professional growth. - Embrace a startup-like culture that values speed, agility, ownership, and continuous improvement. - Enjoy comprehensive employee benefits that prioritize health, well-being, learning, and career advancement. Employee Benefits: - Access to savings and investment plans, upskilling opportunities, health and welfare benefits, and a supportive work environment that encourages inclusivity and growth. Join Us: Your contributions are integral to shaping the future at Chubb. If you are passionate about integrity, innovation, and inclusion and ready to make a difference, we invite you to be part of Chubb India's journey. Apply Now: Chubb India Career Page,

Job Description We are seeking a highly skilled and forward-thinking Senior Data Scientist with deep expertise in Generative AI, Agentic AI, and Deep Learning, ideally with experience in the Healthcare, Life Sciences, and Fintech domains. The ideal candidate will bring a strong blend of research acumen and enterprise solution delivery, capable of leading the design and deployment of AI-powered platforms for complex, high-impact business challenges. This is a strategic and hands-on role where you will work on next-gen AI products including intelligent assistants, enterprise automation tools, and AI-integrated decision systems designed to improve operational efficiency and user engagement in regulated industries. Key Responsibilities Lead the end-to-end development of LLM-powered solutions, including fine-tuning, prompt engineering, and dynamic context handling. Design and implement Agentic AI workflows to automate and streamline business operations across healthcare, life sciences, and fintech use cases. Translate business problems into scalable AI/ML pipelines, ensuring alignment with domain-specific compliance and data sensitivity requirements. Build and optimize Reinforcement Learning-based digital twin models and autonomous decision systems. Develop intelligent enterprise search and customer service automation tools using GenAI, NLP, and multi-intent query understanding. Design robust, production-grade ML services using Python, Flask, TensorFlow, PyTorch, and containerized deployment via Docker. Collaborate cross-functionally to build data-centric products and drive research-to-deployment lifecycle. Provide technical leadership in system architecture, MLOps integration, and solution optimization for real-time performance. Contribute to internal documentation, training, and patentable innovation initiatives. Required Skills & Qualifications 6+ years of professional experience in AI/ML development and deployment, with demonstrated success in real-world production environments. Strong programming skills in Python and deep learning frameworks like TensorFlow, PyTorch, Keras. Hands-on experience with Generative AI, LLM fine-tuning, and agent-based AI systems. Expertise in NLP, voice AI, and Reinforcement Learning. Proven ability to develop and deploy solutions for Healthcare and Life Sciences, with an understanding of the domains challenges and regulations. Experience in the fintech domain will be a strong plus. Experience in designing APIs and building scalable microservices for AI inference and data processing. Familiarity with DevOps practices, version control, CI/CD pipelines, and container technologies (e.g., Docker, Git). Working knowledge of workflow automation frameworks. Masters degree in Signal Processing, Machine Learning, Computer Science, or related field (PhD or research background is a strong advantage). Nice To Have Experience building AI applications that support clinical workflows, financial analytics, or biomedical data platforms. Background in digital therapeutics, financial risk models, or AI-driven operations tools. Contribution to AI research publications, open-source projects, or patents. Immediate joiners are preferred (ref:hirist.tech)

As a Senior Data Scientist, you will play a crucial role in supporting the design, development, and implementation of generative AI models and systems. Your responsibilities will include assisting in model development, algorithm optimization, data preprocessing, feature engineering, model evaluation, and collaboration with cross-functional teams. You will focus on learning and developing your skills in generative AI while ensuring ethical considerations are adhered to under the guidance of senior team members. Your technical skills should include in-depth knowledge of ML, Deep Learning, NLP algorithms, and experience with ML platforms like GCP Vertex AI, Azure AI Foundry, or AWS SageMaker. Proficiency in Python, Java, or C++, along with machine learning frameworks such as TensorFlow or PyTorch, is essential for developing and optimizing generative AI models. Cloud computing experience, particularly with Google or Azure Cloud Platform, is crucial, as well as an understanding of Data Analytics Services offered by these platforms. Preferred technical skills may include knowledge of Azure Cognitive Search, Google Cloud Search, AWS Kendra, and experience in large-scale deployment of ML projects with a good understanding of DevOps/MLOps/LLM Ops. Strong communication skills, the ability to work independently, mentor junior developers, and understand business objectives to support data needs are key behavioral attributes required for this role. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science and possess 6 to 8 years of relevant work experience. If you are looking to contribute to cutting-edge generative AI projects, collaborate with diverse teams, and stay updated with the latest AI trends, this role is ideal for you.,

We are looking for a Senior Python Developer with strong experience in building robust data connectors to integrate with various third-party platforms. This role is critical in designing and implementing OAuth-based integrations and scalable data ingestion pipelines in Python. You will lead the connector development efforts while optionally contributing to LLM integration, API services, and cloud deployment. Responsibilities Design and develop standalone Python connectors to fetch and sync data from HR systems and third-party platforms such as Justworks, HiBob, Workday, Rippling, Velocity, BambooHR, UKG, etc. Implement secure OAuth2 authentication flows and manage API token lifecycles. Read and interpret API documentation to understand external systems and develop integration solutions. Collaborate with cross-functional teams to understand use cases and deliver reliable data access mechanisms. Requirements 5- 8 years of Python development experience. Strong experience in building connectors/integrations with third-party APIs. Hands-on experience with OAuth2 and other authentication mechanisms. Ability to quickly understand API documentation and build efficient data fetching solutions. Familiarity with JSON, REST APIs, and best practices for secure and scalable data handling. Nice-to-Have Skills (Optional) Experience building REST APIs using FastAPI or Flask. Exposure to LLMs (Large Language Models) and frameworks like Hugging Face. Basic understanding of NumPy, PyTorch, or other AI/ML libraries. Familiarity with Amazon ECS or containerized deployment environments. Previous experience with HR/ERP platform integration. Knowledge of async programming (asyncio, aiohttp) for scalable connector performance. (ref:hirist.tech)

Job Summary The Associate Data Scientist will be responsible for developing and implementing machine learning models using computer vision and PyTorch. This individual will work closely with a team of data scientists and engineers to support the development of innovative solutions in a fast-paced, collaborative environment. Key Responsibilities Develop and implement machine learning models using computer vision and PyTorch Collaborate with a team of data scientists and engineers to support the development of innovative solutions Conduct data analysis and feature engineering to support the development of machine learning models Use computer vision techniques to extract and analyze data from images and videos Support the deployment and maintenance of machine learning models in a production environment Contribute to the continuous improvement of machine learning processes and practices Key Skills Strong proficiency in Python programming. Hands-on experience with PyTorch, Pandas, NumPy, and OpenCV (cv2). Prior experience working on computer vision projects is required. Knowledge of cloud platforms and services is a plus (ref:hirist.tech)

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered. This is an exciting time to join our group Customer Experience and work on something highly strategic to Microsoft. The goal of the Customer Experience Engineering is to build the next generation of our applications running on Dynamics 365, AI, Copilot, and several other Microsoft cloud services to drive AI transformation across Marketing, Sales, Services and Support organizations within Microsoft. We innovate quickly and collaborate closely with our partners and customers in an agile, high-energy environment. Leveraging the scalability and value from Azure & Power Platform, we ensure our solutions are robust and efficient. Our organizations implementation acts as reference architecture for large companies and helps drive product capabilities. Do you want to lead the design and development of mission-critical platforms at Microsoft The Marketing Engineering team is building the next generation of marketing and store experiences, leveraging AI to transform content generation, personalization, and delivery. We are looking for a Principal Engineering Manager who will grow talent, foster team culture, and drive software development & service excellence in our organization. As a member of our growing org, you will play an integral part in making that happen, navigating us into the future and impacting the lives of people all around the world. This role offers the chance to work on innovative solutions, influence the technical direction of the team, and mentor other engineers to deliver scalable, secure, and reliable platforms. Join us to make a meaningful impact at Microsoft while working on cutting-edge technology. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities - Lead, mentor, and manage a team of software engineers to design, develop, and implement robust and scalable software applications that utilize generative AI techniques. - Drive the integration of AI and machine learning capabilities to enhance platform functionality. - Provide technical leadership, ensuring adherence to best practices, coding standards, and quality benchmarks. - Identify opportunities to improve and optimize existing systems using generative AI. - Define and drive the technical roadmap, aligning with business goals and organizational priorities. - Mentor and coach engineers at all levels to grow their technical skills and foster a high-performing team. - Partner with cross-functional teams to define requirements, solve complex technical challenges, and deliver solutions on time. - Collaborate with stakeholders to establish metrics for success and continuously improve system performance. - Stay informed on industry trends and emerging technologies to bring innovative solutions to the team. - Embody our Culture and Values Qualifications Basic Qualifications: - Knowledge of machine learning algorithms and concepts (e.g., supervised learning, unsupervised learning, deep learning) as applied to generative AI. - 3+ years of people management experience in software engineering domain. - 3+ years of professional experience in technical role developing, training, evaluating and deploying ML solutions at scale for real-world problems. - 10+ years of professional software development experience, with a proven track record of designing and delivering large-scale, distributed systems. - Proficiency in programming languages such as Python, C#, or Java. - Deep knowledge of cloud platforms (Azure, AWS, GCP) and modern software development practices (e.g., microservices, CI/CD, DevOps). - Demonstrated ability to lead and mentor engineering teams, fostering a collaborative and high-performing culture. - Excellent problem-solving skills and ability to handle ambiguity in technical requirements. - Excellent cross-group and interpersonal skills, with the ability to articulate solutions. - Bachelor's or master's degree with relevant coursework in Computer Science, Data Science, Statistics, Machine Learning, Data Mining, or equivalent work experience. Preferred Qualifications - Experience in designing and implementing MLOps strategies for model deployment, monitoring, and governance. - Familiarity in deep learning architectures (Transformers, CNNs, RNNs) and knowledge of Natural Language Processing (NLP). - Experience with AI/ML technologies, frameworks (e.g., TensorFlow, PyTorch), and their application to real-world problems. - Knowledge of containers (Docker) and orchestration tools like Kubernetes. - Strong analytical mind and a confident decision maker. - Excellent computer science fundamentals in algorithmic design, data structures, and analyzing complexity. - Ability to balance competing demands and adapt to changing priorities. - Experience mentoring junior engineers and data scientists, providing technical guidance and code reviews. - Designing and implementing applications using Low Code/No Code platforms would be a plus - nice to have. Be part of an innovative team where you can lead, mentor, and make a lasting impact. Join us in shaping the future of marketing experiences at Microsoft!,

Rockwell Automation is a global technology leader dedicated to assisting the world's manufacturers in enhancing productivity, sustainability, and agility. With over 28,000 employees striving to make a positive impact daily, we take pride in our exceptional team. Our customers, remarkable companies contributing to essential sectors such as healthcare, agriculture, and environmental conservation, inspire our team of energetic problem solvers to drive meaningful change worldwide. If you are a maker, forward thinker, or problem solver seeking a platform to showcase your skills, we invite you to consider joining us! As an AI Architect at Rockwell Automation based in Pune, Noida, or Bangalore, India, you will play a crucial role in designing, developing, and implementing enterprise-grade artificial intelligence solutions. Reporting to the Director of Enterprise Architecture, you will operate from our Pune office in a hybrid capacity. Collaborating with diverse teams including data scientists, engineers, and business leaders, you will ensure that AI systems are scalable, secure, and aligned with organizational objectives. **Your Responsibilities:** - **Architect and implement AI solutions**: Design and supervise end-to-end AI architectures that seamlessly integrate with existing IT and data infrastructure, focusing on scalability, performance, and maintainability. - **Lead cross-functional delivery teams**: Provide guidance to data scientists, engineers, and business stakeholders across the AI solution lifecycle, from ideation and prototyping to production deployment and monitoring. - **Evaluate and recommend technologies**: Assess AI/ML platforms, frameworks, and tools to ensure alignment with business requirements and technical feasibility. - **Establish best practices**: Define standards for model development, testing, deployment, and lifecycle management, ensuring compliance with ethical AI principles and data privacy regulations. - **Mentor and evangelize**: Offer technical leadership and mentorship to junior architects and data professionals, while advocating for AI adoption and architectural vision within the organization. **The Essentials You Will Have:** - A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. - 5+ years of experience in designing and implementing AI architectures in production environments. - Proficiency in AI/ML frameworks and tools such as TensorFlow, PyTorch, Keras, and cloud-based AI services. - Strong programming skills in Python, R, Java, or similar languages. - Deep understanding of data structures, algorithms, and software engineering best practices. - Experience leading complex AI projects with cross-functional teams and delivering solutions that drive business outcomes. - Familiarity with ethical AI practices and data protection regulations. **The Preferred You Might Also Have:** - Experience deploying AI solutions on cloud platforms in hybrid or multi-cloud environments. - Knowledge of MLOps tools and practices for continuous integration, deployment, and monitoring of AI models. - Strong problem-solving abilities and the capacity to translate business requirements into scalable technical solutions. - Experience in mentoring and developing talent within AI or data science teams. **What We Offer:** Our benefits package includes comprehensive mindfulness programs, volunteer paid time off, employee assistance programs, personalized wellbeing programs, on-demand professional development courses, and other local benefits. At Rockwell Automation, we are committed to fostering a diverse, inclusive, and authentic workplace. If you are enthusiastic about this role but do not meet every qualification in the job description, we encourage you to apply as you might be the right fit for this position or other roles. Rockwell Automation's hybrid policy mandates employees to work at a Rockwell location at least on Mondays, Tuesdays, and Thursdays unless they have a business obligation elsewhere.,

You are an experienced Software Engineer specializing in Machine Learning with at least 2+ years of relevant experience. In this role, you will be responsible for designing, developing, and optimizing machine learning solutions and data systems. Your proven track record in implementing ML models, building scalable systems, and collaborating with cross-functional teams will be essential in solving complex challenges using data-driven approaches. As a Software Engineer - Machine Learning, your primary responsibilities will include designing and implementing end-to-end machine learning solutions, building and optimizing scalable data pipelines, collaborating with data scientists and product teams, monitoring and optimizing deployed models, staying updated with the latest trends in machine learning, debugging complex issues related to ML systems, and documenting processes for knowledge sharing and clarity. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related fields. Your technical skills should include a strong proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or scikit-learn, experience with data processing tools like Pandas, NumPy, and Spark, proficiency in SQL and database systems, hands-on experience with cloud platforms (AWS, GCP, Azure), familiarity with CI/CD pipelines and Git, and experience with model deployment frameworks like Flask, FastAPI, or Docker. Additionally, you should possess strong analytical skills, leadership abilities to guide junior team members, and a proactive approach to learning and collaboration. Preferred qualifications include experience with MLOps tools like MLflow, Kubeflow, or SageMaker, knowledge of big data technologies such as Hadoop, Spark, or Kafka, familiarity with advanced ML techniques like NLP, computer vision, or reinforcement learning, and experience in designing and managing streaming data workflows. Key Performance Indicators for this role include successfully delivering optimized and scalable ML solutions within deadlines, maintaining high model performance in production environments, and ensuring seamless integration of ML models with business applications. Join us in this exciting opportunity to drive innovation and make a significant impact in the field of Machine Learning.,

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for contributing to the development and deployment of machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms as a part of a larger team. Contributes to translating application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Contributes to developing ways to use machine learning to solve problems and discover new products, working on a portion of the problem and collaborating with more senior researchers as needed. Works with moderate guidance in own area of knowledge. Job Description Core Responsibilities About the Role: We are seeking an experienced Data Scientist to join our growing Operational Intelligence team. You will play a key role in building intelligent systems that help reduce alert noise, detect anomalies, correlate events, and proactively surface operational insights across our large-scale streaming infrastructure. You’ll work at the intersection of machine learning, observability, and IT operations, collaborating closely with Platform Engineers, SREs, Incident Managers, Operators and Developers to integrate smart detection and decision logic directly into our operational workflows. This role offers a unique opportunity to push the boundaries of AI/ML in large-scale operations. We welcome curious minds who want to stay ahead of the curve, bring innovative ideas to life, and improve the reliability of streaming infrastructure that powers millions of users globally. What You’ll Do Design and tune machine learning models for event correlation, anomaly detection, alert scoring, and root cause inference Engineer features to enrich alerts using service relationships, business context, change history, and topological data Apply NLP and ML techniques to classify and structure logs and unstructured alert messages Develop and maintain real-time and batch data pipelines to process alerts, metrics, traces, and logs Use Python, SQL, and time-series query languages (e.g., PromQL) to manipulate and analyze operational data Collaborate with engineering teams to deploy models via API integrations, automate workflows, and ensure production readiness Contribute to the development of self-healing automation, diagnostics, and ML-powered decision triggers Design and validate entropy-based prioritization models to reduce alert fatigue and elevate critical signals Conduct A/B testing, offline validation, and live performance monitoring of ML models Build and share clear dashboards, visualizations, and reporting views to support SREs, engineers, and leadership Participate in incident postmortems, providing ML-driven insights and recommendations for platform improvements Collaborate on the design of hybrid ML + rule-based systems to support dynamic correlation and intelligent alert grouping Lead and support innovation efforts including POCs, POVs, and exploration of emerging AI/ML tools and strategies Demonstrate a proactive, solution-oriented mindset with the ability to navigate ambiguity and learn quickly Participate in on-call rotations and provide operational support as needed Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics or a related field 3+ years of experience building and deploying ML solutions in production environments 2+ years working with AIOps, observability, or real-time operations data Strong coding skills in Python (including pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow) Experience working with SQL, time-series query languages (e.g., PromQL), and data transformation in pandas or Spark Familiarity with LLMs, prompt engineering fundamentals, or embedding-based retrieval (e.g., sentence-transformers, vector DBs) Strong grasp of modern ML techniques including gradient boosting (XGBoost/LightGBM), autoencoders, clustering (e.g., HDBSCAN), and anomaly detection Experience managing structured + unstructured data, and building features from logs, alerts, metrics, and traces Familiarity with real-time event processing using tools like Kafka, Kinesis, or Flink Strong understanding of model evaluation techniques including precision/recall trade-offs, ROC, AUC, calibration Comfortable working with relational (PostgreSQL), NoSQL (MongoDB), and time-series (InfluxDB, Prometheus) databases Ability to collaborate effectively with SREs, platform teams, and participate in Agile/DevOps workflows Clear written and verbal communication skills to present findings to technical and non-technical stakeholders Comfortable working across Git, Confluence, JIRA, & collaborative agile environments Nice To Have Experience building or contributing to the AIOps platform (e.g., Moogsoft, BigPanda, Datadog, Aisera, Dynatrace, BMC etc.) Experience working in streaming media, OTT platforms, or large-scale consumer services Exposure to Infrastructure as Code (Terraform, Pulumi) and modern cloud-native tooling Working experience with Conviva, Touchstream, Harmonic, New Relic, Prometheus, & event- based alerting tools Hands-on experience with LLMs in operational contexts (e.g., classification of alert text, log summarization, retrieval-augmented generation) Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embeddings-based search for observability data Experience using MLflow, SageMaker, or Airflow for ML workflow orchestration Knowledge of LangChain, Haystack, RAG pipelines, or prompt templating libraries Exposure to MLOps practices (e.g., model monitoring, drift detection, explainability tools like SHAP or LIME) Experience with containerized model deployment using Docker or Kubernetes Use of JAX, Hugging Face Transformers, or LLaMA/Claude/Command-R models in experimentation Experience designing APIs in Python or Go to expose models as services Cloud proficiency in AWS/GCP, especially for distributed training, storage, or batch inferencing Contributions to open-source ML or DevOps communities, or participation in AIOps research/benchmarking efforts Certifications in cloud architecture, ML engineering, or data science specialization Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 2-5 Years

As an Artificial Intelligence (AI) Developer in our team, you will have the exciting opportunity to blend cutting-edge AI techniques with scalable web application architectures to design and build intelligent systems. Working closely with cross-functional teams, including data scientists, software engineers, and product managers, you will develop end-to-end solutions that enhance business operations and deliver exceptional user experiences. Your responsibilities will include full-stack development, where you will architect, design, and develop both frontend and backend components of AI-driven web applications. You will build responsive and user-friendly interfaces using modern JavaScript frameworks such as React, Angular, or Vue.js, along with robust backend services using technologies like Node.js, Django, or .NET. Furthermore, you will be responsible for developing and integrating secure RESTful and GraphQL APIs to connect AI models with cloud services and third-party systems. Leveraging cloud platforms like AWS, Azure, or GCP, you will deploy and manage scalable applications and services effectively. Collaborating with data scientists, you will integrate machine learning models, natural language processing, computer vision, and other AI techniques into web applications. You will optimize AI workflows by ensuring seamless data exchange and efficient model inference across the technology stack. In terms of DevOps and deployment, you will implement CI/CD pipelines, containerization using tools like Docker and Kubernetes, and automated testing to ensure efficient and reliable releases. Monitoring application performance and troubleshooting issues in real-time will be essential to maintain high-quality production environments. Your role will also involve close collaboration with cross-functional teams to gather requirements, deliver project updates, and ensure solutions align with business needs. Documenting development processes, API specifications, and integration practices will be crucial to support future enhancements and maintenance. To excel in this role, you must have a degree in Computer Science, Data Science, Engineering, or a related field. Additionally, you should possess a minimum of 5 years of experience with full-stack development and at least 2 years of experience with AI development. Hands-on experience in programming languages like Python, JavaScript (or TypeScript), and/or C#, along with expertise in front-end and backend frameworks, cloud platforms, containerization, and data management, will be essential. If you are detail-oriented, possess strong problem-solving, analytical, and communication skills, and have a passion for continuous learning and innovation, this role is perfect for you. Join us at the intersection of AI and full-stack web development to create robust, intelligent systems that scale in the cloud while delivering intuitive and responsive user experiences.,

The Data Chapter at our organization serves as a strategic partner, utilizing state-of-the-art AI and ML technologies to drive data-led initiatives that enhance risk management, boost revenue generation, and enhance operational efficiency. We are committed to maintaining data integrity and governance while delivering high-quality analysis, insights, and automation to facilitate data-driven decision-making throughout DBS. Through our collaborative approach, we provide timely and actionable solutions that align with the organization's strategic goals. As a member of our team, your responsibilities will include designing, developing, and implementing advanced AI/ML models to uncover actionable insights, automate processes, and facilitate strategic decision-making across various business units. You will work closely with a team to create the end-to-end lifecycle of AI initiatives, starting from problem identification and data engineering to model development, validation, deployment, and monitoring. Collaboration with cross-functional teams, including product, engineering, and business stakeholders, will be essential to identify impactful AI opportunities and deliver innovative solutions. In this role, you will be expected to explore cutting-edge techniques such as deep learning, generative AI (e.g., LLMs, GANs), and reinforcement learning to address complex challenges and drive value creation. Conducting risk modeling, scenario analysis, and evaluating business impacts will be crucial to ensure that AI solutions are robust, ethical, and aligned with organizational objectives. Additionally, you will contribute to the development of best practices, toolkits, and scalable AI pipelines while staying abreast of emerging trends and research in AI and machine learning to assess their potential application within the organization. To be successful in this role, you should possess 6-8 years of hands-on experience in data science, machine learning, or AI, with a proven track record of deploying models in production environments. Proficiency in Python and common ML/AI libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain, LangGraph, etc., is essential. A solid understanding of data architecture, model deployment (MLOps), and experience with cloud platforms like AWS, Azure, and GCP is required. Demonstrated expertise in generative AI technologies, statistical analysis, feature engineering, and advanced machine learning techniques is highly valued. We are seeking individuals with excellent problem-solving skills, analytical thinking, and business acumen. Strong written and verbal communication abilities are essential, as you will be expected to influence and collaborate with senior stakeholders. A Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field is highly preferred. If you are passionate about AI and machine learning and are looking for a challenging yet rewarding opportunity, we encourage you to apply now. We offer a competitive salary and benefits package, along with the professional advantages of a dynamic environment that fosters your growth and recognizes your accomplishments.,

Sr/Lead ML Engineer Placement type (FTE/C/CTH): C/CTH Duration : 6 month with extension Location: Phoenix AZ, must be onsite 5 days a week Start Date: 2 weeks from the offer Interview Process One and done Reason for position Integration ML to the Observability Grafana platform Team Overview Onshore and offshore Project Description AI/ML for Observability (AIOps) Developed machine learning and deep learning solutions for observability data to enhance IT operations. Implemented time series forecasting, anomaly detection, and event correlation models. Integrated LLMs using prompt engineering, fine-tuning, and RAG for incident summarization. Built MCP client-server architecture for seamless integration with the Grafana ecosystem. Duties/Day to Day Overview Machine Learning & Model Development Design and develop ML/DL models for: Time series forecasting (e.g., system load, CPU/memory usage) Anomaly detection in logs, metrics, or traces Event classification and correlation to reduce alert noise Select, train, and tune models using frameworks like TensorFlow, PyTorch, or scikit-learn Evaluate model performance using metrics like precision, recall, F1-score, and AUC ML Pipeline Engineering Build scalable data pipelines for training and inference (batch or streaming) Preprocess large observability datasets from tools like Prometheus, Kafka, or BigQuery Deploy models using cloud-native services (e.g., GCP Vertex AI, Azure ML, Docker/Kubernetes) Maintain retraining pipelines and monitor for model drift LLM Integration for Observability Intelligence Implement LLM-based workflows for summarizing incidents or logs Develop and refine prompts for GPT, LLaMA, or other large language models Integrate Retrieval-Augmented Generation (RAG) with vector databases (e.g., FAISS, Pinecone) Control latency, hallucinations, and cost in production LLM pipelines Grafana & MCP Ecosystem Integration Build or extend MCP client/server components for Grafana Surface ML model outputs (e.g., anomaly scores, predictions) in observability dashboards Collaborate with observability engineers to integrate ML insights into existing monitoring tools Collaboration & Agile Delivery Participate in daily stand-ups, sprint planning, and retrospectives Collaborate with: Data engineers on pipeline performance and data ingestion Frontend developers for real-time data visualizations SRE and DevOps teams for alert tuning and feedback loop integration Translate model outputs into actionable insights for platform teams Testing, Documentation & Version Control Write unit, integration, and regression tests for ML code and pipelines Maintain documentation on models, data sources, assumptions, and APIs Use Git, CI/CD pipelines, and model versioning tools (e.g., MLflow, DVC) Top Requirements (Must haves) AI ML Engineer Skills Design and develop machine learning algorithms and deep learning applications and systems for Observability data (AIOps) Hands on experience in Time series forecasting/prediction, anomaly detection ML algorithms Hands on experience in event classification and correlation ML algorithms Hands on experience on integrating with LLMs with prompt/fine-tuning/rag for effective summarization Working knowledge on implementing MCP client and server for Grafana Eco-system or similar exposure Key Skills: Programming languages: Python, R ML Frameworks: TensorFlow, PyTorch, scikit-learn Cloud platforms: Google Cloud, Azure Front-End Frameworks/Libraries: Experience with frameworks like React, Angular, or Vue.js, and libraries like jQuery. Design Tools: Proficiency in design software like Figma, Adobe XD, or Sketch. Databases: Knowledge of database technologies like MySQL, MongoDB, or PostgreSQL. Server-Side Languages: Familiarity with server-side languages like Python, Node.js, or Java. Version Control: Experience with Git and other version control systems. Testing: Knowledge of testing frameworks and methodologies. Agile Development: Experience with agile development methodologies. Communication and Collaboration: Strong communication and collaboration skills. Experience: Lead – 10 to 12 Years (Onshore and Offshore). Developers - 6 to 8 Years for Engineers