63 Ml Frameworks Jobs

We are seeking an experienced and customer-centric Cloud Solutions Architect to fulfill a dual role encompassing presales solutioning and delivery execution. This position necessitates alignment with US business hours (2pm10pm IST) and entails close collaboration with North American clients. The ideal candidate should possess extensive expertise in AWS cloud services, modern data platforms, and AI/ML workloads, along with a robust ability to translate intricate technical requirements into scalable, secure, and cost-effective solutions. Moreover, familiarity with Azure and Google Cloud Platform (GCP) would be advantageous. In the realm of Presales & Solution Engineering, your responsibilities will involve direct engagement with US-based enterprise customers to grasp their business objectives, technical prerequisites, and pain points. You will be tasked with designing and recommending cloud-native solutions on AWS encompassing compute, storage, networking, security, and DevOps. Crafting impactful solution blueprints, technical proposals, and reference architectures, as well as leading and supporting RFP/RFI responses, customer demos, and technical workshops will be integral aspects of your role. Additionally, collaborating with Sales, Product, and Delivery teams to align technical solutions with business objectives and conducting Proof-of-Concepts (PoCs) to validate solutions are key responsibilities. Transitioning to Delivery & Execution, you will be responsible for ensuring a seamless handover and alignment between presales and delivery, providing technical leadership across the project lifecycle including architecture reviews, implementation guidance, troubleshooting, and optimization. Engaging with client stakeholders, technical teams, and project managers during delivery phases, advocating best practices for cloud adoption, performance tuning, cost optimization, and security compliance, and assisting internal delivery teams in resolving complex architecture challenges are pivotal elements of this role. In terms of Technical Expertise, you should possess comprehensive knowledge in AWS Cloud Architecture encompassing IaaS (e.g., EC2, VPC, S3, EBS, ELB, Auto Scaling), PaaS (e.g., RDS, Lambda, API Gateway, DynamoDB, Aurora, Fargate, Step Functions) and Security & SaaS (e.g., IAM, AWS Organizations, WAF, GuardDuty, CloudTrail). Furthermore, familiarity with Multi-Cloud environments such as Azure (e.g., Synapse, Azure ML, AKS) and GCP (e.g., BigQuery, Vertex AI, GKE), DevOps & Automation tools (e.g., Terraform, CloudFormation, Jenkins, GitOps, CI/CD pipelines), and Data Platforms & AI/ML technologies is essential. The role necessitates a Bachelor's/Masters degree in Computer Science, Information Technology, or a related discipline, with a minimum of 10 years in IT, including at least 5 years in cloud architecture and presales/delivery roles. Possession of an AWS Certified Solutions Architect - Professional certification is preferred. Strong communication and stakeholder management skills are crucial, as is the ability to present to CXOs, architects, and engineering teams. Experience in bridging presales engagements with hands-on technical delivery is a key requirement. Additionally, domain expertise in verticals like finance, healthcare, or retail cloud transformation, familiarity with container orchestration (EKS, AKS, GKE), and MLOps platforms (Kubeflow, etc.) would be advantageous. The position entails working hours from 2:00 PM to 10:00 PM IST to cater to US-based clients and is based in Hyderabad.,

SAIGroup is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. Our portfolio consists of rapidly growing AI companies catering to over 2,000+ major global customers, generating almost $800 million in annual revenue, and employing a global workforce of over 4,000 individuals. We invest in new ventures based on breakthrough AI-based products that have the potential to disrupt existing enterprise software markets. Our latest investment, JazzX AI, is a pioneering technology company focused on shaping the future of work through an AGI platform designed for the enterprise. JazzX AI is not just creating another AI tool; it is reimagining business processes to enable seamless collaboration between humans and intelligent systems. This transformation leads to a significant increase in productivity, efficiency, and decision velocity, empowering enterprises to become industry leaders and set new standards for innovation and excellence. **Client Technical Solutions Architect (AI Solutions Deployment)** **Role Overview:** The Client Technical Solutions Architect is a strategic, client-facing role responsible for deploying and customizing advanced AI solutions on top of our company's AI platform. In this hands-on position, you will collaborate closely with clients to understand their business challenges and translate them into effective technical solutions. You will also work internally with product and engineering teams to ensure the AI platform is configured and extended to provide maximum value for each client. The ideal candidate possesses strong technical aptitude and excellent stakeholder management skills to ensure the smooth delivery of complex AI solutions aligned with client objectives across various industries. **Responsibilities:** - **Deploy and Customize AI Solutions:** Implement and tailor our platform's AI capabilities to address clients" specific business problems, both on-site at client locations and through remote collaboration. - **Client Engagement and Requirements Gathering:** Work directly with client stakeholders to comprehend their requirements, pain points, and goals. Translate business needs into technical solutions and actionable project plans to ensure alignment between client expectations and delivered functionality. - **Solution Design and Implementation:** Design end-to-end workflows and AI solution architectures that integrate with clients" existing systems. Develop and test custom modules, data pipelines, and prompts on our platform to meet use-case requirements. - **Internal Collaboration:** Partner with internal product managers and engineering teams to enhance platform features and capabilities. Provide feedback from field deployments to influence product roadmaps and enhance our AI platform's effectiveness for all clients. - **Project Management and Delivery:** Oversee the deployment lifecycle from proof-of-concept to production rollout at client sites. Ensure timely delivery of solutions meeting quality standards while proactively managing technical issues or risks. - **Stakeholder Management:** Manage relationships with client technical teams and business leaders. Communicate progress, present solution demos, and adjust plans based on stakeholder feedback. Act as a trusted technical advisor aligning the AI solution with clients" strategic objectives and demonstrating value. - **Training and Knowledge Transfer:** When necessary, provide hands-on training and guidance to client teams on using and maintaining the AI solutions. Document configurations and best practices to enable clients to become self-sufficient with the deployed technology. **Requirements:** - **Education and Experience:** Bachelor's degree in Computer Science, Engineering, or related field. 7+ years of experience in software engineering, data engineering, or a similar technical role involving building or deploying software solutions. - **AI Expertise:** Practical experience with AI/ML technologies, particularly Natural Language Processing. Familiarity with prompt engineering techniques and working with large language models or conversational AI systems is highly desirable. - **Technical Proficiency:** Strong programming and scripting skills (e.g., Python, Java) to customize solutions and integrate systems. Experience with APIs, data pipelines, and cloud platforms or ML frameworks for deploying AI solutions. - **Solution Architecture Skills:** Ability to design scalable, secure, and maintainable system architectures and workflows. Experience integrating AI solutions into existing enterprise environments (data sources, databases, APIs, etc.). - **Problem-Solving:** Proven ability to troubleshoot technical issues and optimize AI models or pipelines. Creative mindset to adapt and tailor solutions to unique client scenarios, focusing on delivering business value. - **Communication and Stakeholder Management:** Excellent communication skills to explain complex technical concepts to both technical and non-technical stakeholders. Experience gathering requirements and maintaining client relationships in a professional services or customer-facing capacity. - **Team Collaboration:** Comfortable working in cross-functional teams and fast-paced environments. Able to coordinate between client personnel and internal teams, balancing priorities and ensuring alignment on solution delivery.,

As a Generative AI/ML Python Developer with 3 to 5 years of experience, you will be responsible for building and deploying generative and traditional ML models from ideation and data preparation to production pipelines and performance optimization. Your role will involve solving real problems, handling data end-to-end, navigating the AI development lifecycle, and contributing to model innovation and operational excellence. Your key responsibilities will include engaging in the full AI/ML lifecycle, building and fine-tuning transformer-based LLMs (like GPT, BERT), GANs, diffusion models, and traditional ML models. You will also be involved in data engineering tasks such as cleaning, labeling, preprocessing, augmenting, and versioning datasets. Additionally, you will work on model deployment, MLOps, troubleshooting, optimization, collaboration with cross-functional teams, innovation, research, and documentation. To qualify for this role, you should have a Bachelor's degree in CS, AI, Data Science, or a related field, along with 1-2 years of experience in ML/AI roles. Proficiency in Python and ML frameworks like PyTorch, TensorFlow, Hugging Face, and scikit-learn is required. You should have a strong understanding of the AI project lifecycle and MLOps principles, as well as experience in data workflows, Docker, REST APIs, Git, and cloud platforms. Preferred skills for this role include experience with projects involving ChatGPT, LLaMA, Stable Diffusion, or similar models, familiarity with prompt engineering, RAG pipelines, vector DBs, exposure to CI/CD pipelines, ML metadata/versioning, a GitHub portfolio, or publications in generative AI, and awareness of ethics, bias mitigation, privacy, and compliance in AI. This is a full-time position located onsite. If you are a proactive individual with excellent analytical and problem-solving skills, strong communication abilities, and a passion for AI and ML, we encourage you to apply for this role and be a part of our AI/ML team.,

We are looking for highly motivated and innovative Research Scientists to join our team in Bengaluru, focused on advancing the state-of-the-art in multilingual, multicultural, and multimodal large language models (LLMs). You will conduct cutting-edge research on Gemini, particularly in the multilingual, multicultural, and multimodal domain (speech, vision, and text), with a direct path to impacting billions of users through Google products. This role offers a unique opportunity to contribute to foundational research in multilingual and multimodal LLMs, with a special emphasis on unique challenges in the Asia-Pacific (APAC) region, while collaborating with a world-class team at Google DeepMind around the world. If you are passionate about shaping the future of human-computer interaction through multilingual and multimodal LLMs and are eager to make a significant impact on users in the APAC region and beyond, we encourage you to apply. Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. This position is based in the Languages group at Google DeepMind India. The group works on all aspects of LLM development (e.g., pretraining, posttraining, evaluations, etc) and have made impactful contributions to improve Gemini's multilingual performance. The group's work has also enhanced various Google products such as Gemini App, Assistant, Search, etc, including foundational contributions to Google Translate's largest expansion of 110 languages representing more than 600 million speakers. As a Research Scientist at Google DeepMind, you will: - Develop and evaluate multilingual, multicultural, and multimodal LLMs: Design, implement, and evaluate multilingual, multicultural, and multimodal capabilities in Gemini and other frontier models at Google - Collaborate with a world-class team: Work closely with other research scientists, engineers, and product teams across Google DeepMind, fostering a collaborative and intellectually stimulating environment. - Contribute to real-world impact: See your work contribute to Gemini and other frontier models at Google, with applications across various domains, directly influencing the future of Google products and services. - Contribute to the research community: Contribute to the research community by sharing insights and participating in external academic workshops and conferences. You are a passionate and talented researcher with a strong foundation and a proven ability to conduct impactful research in AI. You embrace change and thrive under ambiguity. You have a collaborative mindset and are excited to work as part of a team to tackle ambitious research challenges. You are passionate about seeing your research translated into real-world products that improve the lives of users and are eager to work in an environment where research has a direct path to product impact. You are eager to see your research contribute to real-world applications and are driven by a desire to create positive change through AI. Requirements: - Ph.D. (or equivalent research experience) in Computer Science, Artificial Intelligence, or a related field. - Strong publication record in top-tier AI conferences or journals. - Solid understanding of deep learning, natural language processing, computer vision, and/or speech processing. - Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch. - Excellent communication and collaboration skills. Advantageous Experience: - Experience with multilingual, multicultural, and/or multimodal learning in LLMs. - Experience with pretraining, post-training techniques, prompt engineering, few-shot learning, and evaluations. - Familiarity with large-scale model training and deployment. - Strong programming skills in Python or similar languages.,

As a part of this esteemed organization in the Insurance Industry, your role will revolve around evangelizing and continuously working towards enhancing the organizational understanding of AI/ML capabilities. You will collaborate with senior leadership to strategically propose the use of AI/ML to improve business outcomes. By partnering with functional heads, you will address and resolve business challenges by leveraging AI & Analytics solutions effectively. Your responsibilities will include translating business problems into analytical challenges and implementing AI/ML techniques to drive end-to-end strategic initiatives. You will play a key role in scaling the AI/ML agenda through the development of various solutions. Additionally, you will empower business decision-making by presenting data-driven insights to top leaders through compelling storytelling. Building and sustaining external relationships with academia forums and industry partners will be crucial to gain new perspectives and innovative approaches. You will lead AI & Analytics projects comprehensively, from conceptualization to continuous monitoring, ensuring successful implementation. Key competencies and skills essential for this role include being a strong collaborator with the ability to influence conventional thinking, possessing analytical thinking skills, and effectively presenting insights to business leaders. Your hands-on experience with Analytics/ML technologies, open-source tools like Python and R, and deploying AI/ML solutions in a cloud environment will be highly valuable. Success in this role will be measured by your ability to form partnerships with functional leaders, improve operational efficiencies, execute organization-wide initiatives, and implement AI/ML use cases effectively. It will also depend on managing team engagement and talent pipeline while ensuring algorithm outcomes meet expectations consistently. You will interact with internal stakeholders like CXOs, senior leadership, and external partners from academia forums and cross-industries. An MBA or masters degree in quantitative fields from reputable institutes, along with a minimum of 12-15 years of analytical work experience, will be preferred for this role.,

As a Pre-Sales Consultant specializing in AI/ML Services, your role will involve acting as a liaison between the sales and delivery teams. Your primary responsibility will be to comprehend client needs, create AI/ML-driven solutions, and present them persuasively to potential customers. You will collaborate closely with the sales teams to customize AI/ML solutions according to client requirements. Your tasks will include conducting in-depth discovery sessions to identify business challenges that can be addressed using AI/ML technologies. Additionally, you will be responsible for preparing and delivering engaging product/service presentations, demonstrations, and proof-of-concept interactions. In this role, you will also be expected to handle requests for proposal (RFPs), requests for information (RFIs), and technical inquiries from clients by providing personalized solution documentation. Collaboration with technical teams to develop high-level architecture, use case frameworks, and success metrics will also be a crucial aspect of your job. It is essential to keep abreast of the latest trends, technologies, and competitive landscape in the AI/ML domain. Building and nurturing relationships with key technical stakeholders on the client side will be imperative for success in this position. You will actively participate in strategy meetings to enhance offerings and refine go-to-market strategies. To qualify for this role, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. A minimum of 4 years of experience in a Pre-Sales, Solutions Consulting, or Technical Sales role within the AI/ML or advanced analytics sector is required. A solid grasp of AI/ML principles, data pipelines, model development, and deployment lifecycle is essential. Proficiency in translating business challenges into technical solutions using ML algorithms, NLP, Computer Vision, among others, is crucial. Strong communication and presentation skills are necessary for engaging effectively with both technical and non-technical stakeholders. Familiarity with cloud platforms such as AWS, Azure, GCP, and modern ML frameworks like TensorFlow, PyTorch, Scikit-learn is advantageous. Prior experience working with enterprise clients in industries such as BFSI, Retail, Healthcare, or Manufacturing is a plus. Preferred qualifications include certifications in AI/ML or cloud platforms (e.g., AWS Certified Machine Learning, Azure AI Engineer) and familiarity with pre-sales tools like CRM systems, proposal builders, and demo environments. In return, we offer you the opportunity to work on impactful AI/ML projects with global clients in a dynamic work environment that fosters innovation and continuous learning. You can expect a competitive salary and incentive structure along with a collaborative culture that prioritizes transparency, ownership, and agility.,

As the leader of the Centre of Excellence (COE) for Artificial Intelligence and Machine Learning at HealthAsyst, your primary responsibility will be to manage a team of engineers and drive the development of innovative AI and ML solutions. You will serve as the key customer-facing AI expert, engaging in client consultations and effectively communicating complex AI concepts to showcase the value of AI in IT Services. Your role will involve owning the solutioning process and ensuring that AI projects are aligned with client requirements. You will collaborate closely with development teams and solution architects to develop and integrate AI solutions that address business problems effectively. Monitoring and evaluating the performance of AI and ML solutions will be crucial, as you strive for continuous improvement and optimization. In addition to the technical aspects of the role, you will define and implement the AI and ML strategy and roadmap based on business objectives and vision. It will be essential to communicate the vision, value, and progress of AI and ML initiatives effectively to stakeholders. Establishing best practices and standards for architecture, AI and ML models, innovation, and technology evaluation will be a key part of your responsibilities. Furthermore, you will be expected to stay abreast of new and emerging technologies and trends in AI and ML, assessing their potential value for the organization. Building a culture of innovation and collaboration within the COE, as well as providing mentorship and guidance to team members, will be critical to fostering a high-performing team of AI experts. To be successful in this role, you should have at least 5 years of experience in IT, with a proven track record of leading AI and ML projects and teams. Expertise in architecture, AI and ML models, as well as proficiency in various AI techniques and tools, will be essential. Strong leadership, communication, presentation, and stakeholder management skills are required, along with the ability to think strategically and creatively to translate business requirements into AI and ML solutions. A passion for continuous learning and staying updated with the latest developments and trends in AI and ML is expected, along with a demonstrated commitment to ethical and socially responsible AI practices. If you are a driven and experienced AI professional looking to make a significant impact in the field, we invite you to join our team at HealthAsyst.,

We are seeking an AI/ML Engineer - I to design, develop, and deploy machine learning models and AI solutions. This role involves working with modern ML frameworks, large language models (LLMs), and building scalable AI applications. **Key Responsibilities:** - Develop and deploy machine learning models using TensorFlow, PyTorch, and Scikit-Learn - Build end-to-end ML pipelines from data preprocessing to model serving - Work with LLMs, implement RAG systems, and develop AI-driven applications - Create REST APIs using FastAPI or Flask and deploy using Docker and Kubernetes - Process and analyze large datasets using SQL, Pandas, and Spark - Implement MLOps practices such as model monitoring, logging, and versioning **Required Skills:** - **Programming & Development:** Python - Strong proficiency, including OOP principles - **Software Architecture:** Familiarity with frontend/backend components, microservices, and API design - **Version Control:** Proficient with Git and platforms like GitHub or GitLab - **ML/AI Technologies:** ML Frameworks - TensorFlow, PyTorch, Scikit-Learn, XGBoost - **LLM Expertise:** Understanding of transformer architectures, fine-tuning, and prompt engineering - **Vector Databases:** Experience with Pinecone, Weaviate, or Chroma for embeddings and similarity search - **Data & Infrastructure:** Data Handling - Pandas, NumPy, SQL, Apache Spark - **Cloud Platforms:** Experience with AWS, GCP, or Azure - **Deployment:** Docker, Kubernetes, FastAPI, Flask, REST APIs - **Mathematical Foundation:** Solid understanding of linear algebra, statistics, and calculus as applied to ML algorithms - **Soft Skills:** Strong problem-solving abilities, clear technical communication, and collaboration across teams **Preferred Qualifications:** - Bachelor's or Masters degree in Computer Science, Data Science, or a related field - Approximately 1 year of experience in ML/AI development - Familiarity with MLOps tools like MLflow or Weights & Biases - Knowledge of computer vision and/or NLP applications **Additional Technical Areas:** - Understanding of data privacy and security best practices - Experience with streaming data processing tools such as Kafka or Apache Beam **Educational Qualifications:** - Bachelors degree in B.Tech/B.E **Rounds Description:** - Preliminary Assessment Round - Virtual AI Interview - Ensure screen sharing and laptop usage - Keep updated resume ready - Keep phone on silent mode - Basic communication assessment - Communication Assessment Round 1 - Assignment Round - Technical Interview - HR Discussion Wishing you the very best!,

As a Senior Manager of Technical Program Management at Capital One India, you will be part of the Machine Learning Experience (MLX) team, a group dedicated to implementing responsible ML models and features across the company. Your role will involve collaborating with various teams including product, engineering, and data scientists to create roadmaps, define milestones, and build scalable ML products and platforms. You will be responsible for driving innovation, presenting to executive stakeholders, and ensuring the successful delivery of enterprise-level initiatives. The ideal candidate for this role will possess a strong technical background in building scalable platforms and products, along with exceptional communication and collaboration skills. You should have a quantitative approach to problem-solving, the ability to simplify complex technical concepts, and a focus on execution and results. Emotional intelligence, empathy, and the ability to lead a program team are also key attributes for success in this role. In terms of qualifications, a Bachelor's degree is required, along with at least 5 years of experience managing technical programs and designing data-intensive solutions. Experience with machine learning, cloud infrastructure, and major ML frameworks such as XGBoost and PyTorch is highly desirable. Additionally, familiarity with Agile delivery, building distributed systems, and working within a highly regulated environment are preferred qualifications. If you meet these qualifications and are looking to join a dynamic team at Capital One India, we encourage you to apply for the Senior Manager - Technical Program Management position. Please note that Capital One is an equal opportunity employer committed to non-discrimination and promotes a drug-free workplace. If you require any accommodations during the application process, please contact Capital One Recruiting for assistance.,

The Senior ML Engineer role requires deep hands-on experience in AI/ML concepts, with a strong focus on working extensively with AWS and GCP. As a Senior ML Engineer, your key responsibilities will include designing, developing, and deploying machine learning models and algorithms. You will collaborate closely with data scientists and software engineers to seamlessly integrate ML solutions into various products. It is essential to conduct research regularly to keep abreast of the latest advancements in AI/ML technologies. Moreover, you will be responsible for optimizing and scaling ML models to enhance performance and efficiency. Providing technical guidance and mentorship to junior ML engineers will also be a crucial aspect of your role, ensuring their growth and development. Additionally, ensuring the robustness and reliability of ML systems will be a key focus area to uphold the quality and integrity of the solutions delivered. In terms of technical expertise, the ideal candidate should possess a Bachelor's degree in Computer Science, Data Science, or a related field, along with a minimum of 4 years of experience in machine learning and AI. Proficiency in AWS and GCP cloud services is essential for this role. Strong programming skills in Python or similar languages are required, along with experience working with ML frameworks such as TensorFlow, PyTorch, or similar tools. The ability to thrive in a dynamic, young environment with intercultural aspects is also crucial for success in this role.,

As a Data Scientist at GlobalLogic, you will be responsible for working as a Full-stack AI Engineer. You must have proficiency in programming languages like Python, Java/Scala, and experience with data processing libraries such as Pandas, NumPy, and Scikit-learn. Additionally, you should be proficient in distributed computing platforms like Apache Spark (PySpark, Scala), and Torch. It is essential to have expertise in API development using Fast API, Spring Boot, and a good understanding of O&M - logging, monitoring, fault management, security, etc. Furthermore, it would be beneficial to have hands-on experience with deployment and orchestration tools like Docker, Kubernetes, Helm. Experience with cloud platforms such as AWS (Sagemaker/ Bedrock), GCP, or Azure is also advantageous. Strong programming skills in TensorFlow, PyTorch, or similar ML frameworks for training and deployment are considered good-to-have qualities for this role. At GlobalLogic, we prioritize a culture of caring, where you will experience an inclusive environment of acceptance and belonging. Continuous learning and development opportunities are provided to help you grow personally and professionally. You will have the chance to work on interesting and meaningful projects that make an impact for clients worldwide. We believe in the importance of work-life balance and flexibility, offering various career areas, roles, and work arrangements to help you achieve the perfect balance. As a high-trust organization, integrity is key, and you can trust GlobalLogic to provide a safe, reliable, and ethical work environment. By joining us, you become part of a team that values truthfulness, candor, and integrity in everything we do. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner known for collaborating with some of the world's largest and most innovative companies. Since 2000, we have been at the forefront of the digital revolution, creating innovative digital products and experiences. Join us in transforming businesses and redefining industries through intelligent products, platforms, and services.,

As a Learning Data Science/Machine Learning Professional at our organization, you will be responsible for conducting live instruction sessions to teach core topics in data science and machine learning. These topics include supervised and unsupervised learning, deep learning, model evaluation, and MLOps. You will engage with learners through interactive sessions to ensure a comprehensive understanding of the subject matter. Collaboration with content teams is a crucial aspect of this role. You will work closely with these teams to design labs, conduct code walkthroughs, and develop real-world case studies utilizing Python, scikit-learn, TensorFlow/PyTorch, and cloud-based data science and machine learning services. Your input will contribute to the creation of a dynamic and engaging curriculum. In addition to live instruction and curriculum collaboration, you will provide support to learners by addressing technical queries, debugging code, reviewing notebooks, and offering constructive feedback on assignments and projects. Your mentorship will extend to guiding learners on capstone projects such as image/video models, NLP pipelines, recommendation systems, and deployment pipelines. Continuous improvement is a key focus area of this role. You will analyze learner performance data to refine modules, introduce emerging topics like transformers and generative models, and enhance assessments to ensure an enriching learning experience. To be successful in this position, you should possess a minimum of 3 years of industry or academic experience in data science, machine learning, or artificial intelligence. A Master's degree in Data Science, Machine Learning, AI, or a Computer Science specialization in AI and Data Science/Machine Learning is required. Proficiency in Python and ML frameworks such as scikit-learn, TensorFlow, or PyTorch is essential. Familiarity with MLOps tools like Docker, Kubernetes, MLflow, and cloud ML services such as AWS SageMaker, GCP AI Platform, or Azure ML is highly desirable. Strong presentation and mentoring skills in live and small-group settings are crucial for this role. Previous teaching or educational technology experience would be a significant advantage in fulfilling the responsibilities of this position.,

As the Manager of Technical Engineering at Kohler Co., you will be joining the Digital Experience (DX) organization with a mission to help people live gracious, healthy, and sustainable lives. In this role, you will be a key leader focusing on integrating cutting-edge technology and design to drive a Bold ambition for customers in North America. Your responsibilities will include leading, coaching, and developing all technical and engineering resources for interconnected products and experiences. This involves overseeing global multi-disciplinary teams working on advanced technology across artificial intelligence, software engineering, and interactive content through XR development frameworks. To excel in this position, you should be an inspiring people leader, a change agent, and a technology innovator who understands modern customer expectations and knows how to translate them into reality. Your success will be measured by achieving customer outcomes, therefore, emphasizing driving results and turning strategy into tangible value through experimentation and iteration will be crucial. Key Responsibilities: - Provide proactive technical leadership across multiple complex digital products and initiatives. - Build and lead global technical teams focused on delivering quality and exceeding committed deliverables. - Scale technical teams with the right resources to ensure successful outcomes. - Lead a team of engineers working on data science, XR, and interactive & immersive content. - Identify opportunities for team training and skill advancement. - Understand the connection between business, customer outcomes, and digital technology. - Collaborate with product management, design, and engineering resources to find creative solutions. - Recruit, grow, and develop a team of passionate engineers. - Communicate effectively with various stakeholders including product managers, designers, engineers, and senior management. Qualifications/Competencies And Education/Experience: - Curiosity and creativity in mindset and practice. - Ability to foster a collaborative culture and proficiency in collaboration tools. - Track record of delivering interconnected digital products across complex channels. - Strong communication skills for varied audiences. - Self-driven with the ability to deliver on ambiguous projects. - Bachelors or masters degree in computer science, engineering, or a related field. - 12-15 years of experience in digital product engineering or software development. - Experience in leading and managing a team of digital software engineers. - Technical expertise in API strategy, microservice architecture, and modular design. - Proficiency in 3D Graphics Programming and ML Frameworks. - Knowledge of best practices for platform engineering. - Experience in agile methodologies like Scrum, Kanban, and DevSecOps. If you are a dynamic leader with a passion for technology and innovation, and you possess the necessary qualifications and experience, we invite you to join our team at Kohler Co. where your contributions will make a meaningful impact on creating exceptional customer experiences.,

As an AI & ML Instructor at ADaSci, you will be responsible for delivering comprehensive corporate training sessions to experienced professionals. Your deep expertise in artificial intelligence (AI), machine learning (ML), cloud platforms (Azure, AWS, GCP), data engineering, and MLOps will enable you to design engaging and informative training sessions that empower professionals to excel in their field. Your key responsibilities will include developing and delivering training sessions on AI, ML, and related topics, designing hands-on labs and practical exercises to enhance learning, customizing training materials to meet the specific needs of corporate clients, providing real-world examples and case studies to illustrate concepts, evaluating participants" progress, and staying updated on the latest trends in AI, ML, cloud computing, data engineering, and MLOps. To excel in this role, you should possess a graduate degree with 10+ years of experience, postgraduate degree with 5+ years of experience, or a PhD with 2+ years of experience. You should have proven experience as an instructor or trainer in AI, ML, data engineering, or related fields, deep knowledge of AI and ML algorithms, proficiency in cloud platforms, experience with MLOps, strong understanding of data engineering principles, and familiarity with system design and architecture. Preferred skills include hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), knowledge of containerization technologies like Docker, experience with big data technologies (e.g., Hadoop, Spark), and previous experience in corporate training or educational settings. Strong communication, presentation, problem-solving skills, and the ability to adapt training content for diverse audiences are essential for success in this role.,

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

You will be working as a Machine Learning Intern for a duration of 6 months with a stipend of 20k per month. The internship involves a hybrid mode of working, with 3 days in the office and 2 days working from home. Your primary responsibilities will include designing and implementing cutting-edge machine learning models for complex tabular and time series data problems. Additionally, you will be tasked with developing innovative feature engineering techniques to maximize the value extracted from datasets. Researching and applying state-of-the-art algorithms in areas like automated machine learning (AutoML) and neural architecture search will also be part of your role. Furthermore, you will optimize models for performance and scalability in resource-constrained environments, contribute to the development of the company's core ML infrastructure and pipelines, and collaborate on end-to-end ML projects from problem definition to deployment and monitoring. Your involvement in strategic discussions to identify new opportunities for ML applications within the business and conducting independent research to stay updated on the latest ML advancements for tabular and time series data will be crucial. To excel in this role, you should possess a strong theoretical understanding of machine learning concepts, statistical modeling, and optimization techniques. Proven experience in developing and deploying ML models for tabular and time series data, along with advanced programming skills in Python and expertise in ML libraries and frameworks, is essential. Proficiency in working with large-scale datasets and distributed computing environments, as well as experience with modern ML techniques such as gradient boosting, neural networks, and ensemble methods, are also required. Preferred qualifications include contributions to open-source ML projects or research publications, as well as experience with cloud-native ML development and deployment. This internship offers a unique opportunity to work on cutting-edge AI and blockchain intersection projects, contributing to the company's growth and innovation in the field of machine learning.,

As a Senior Member of Technical Staff (SMTS) Software Systems Design Engineer at AMD (Advanced Micro Devices), you will play a crucial role in developing and implementing the overall QA strategy and frameworks for testing embedded and GPU-based software products across various hardware and software configurations. Your responsibilities will include evaluating and enhancing existing QA methodologies, tools, and processes, collaborating with software developers and QA teams, analyzing and debugging complex failure scenarios, and ensuring compliance with industry standards and regulations. The ideal candidate for this role is a seasoned professional with a Bachelor's or Master's degree in computer science, Engineering, or a related field, along with at least 12 years of relevant experience. You should have proven expertise in a QA Architect or Senior Technical QA Engineer role, particularly in the embedded software and GPU domain. Your strong knowledge of software QA methodologies, tools, and processes, as well as your familiarity with embedded software processes, systems architecture, and GPU technologies will be essential for success in this position. In addition, you should possess programming skills in languages such as C, C++, and Python, familiarity with various embedded and GPU hardware platforms, and experience with AI/ML frameworks, models, and data center tools. Experience with automated testing tools, Continuous Integration and Continuous Deployment (CI/CD) pipelines, version control systems like Git, and bug tracking tools such as JIRA will also be beneficial for this role. As an SMTS Software Systems Design Engineer, you will be responsible for developing and maintaining comprehensive test plans, test suites, and test cases, providing training and mentorship to QA engineers, and staying current with the latest trends and technologies in the embedded software and GPU domain. Your strong analytical and problem-solving skills, excellent communication and collaboration abilities, and commitment to continuous improvement will be key assets in this position. Joining the AMD team will provide you with the opportunity to make a significant impact on next-generation computing experiences and contribute to solving the world's most important challenges. If you are a proactive and detail-oriented individual with a passion for innovation and a drive for excellence, we encourage you to apply for the role of SMTS Software Systems Design Engineer at AMD. Together, we advance towards a brighter future.,

As an AI/ML Developer at our company, you will play a crucial role in designing, developing, and deploying intelligent solutions using cutting-edge artificial intelligence and machine learning technologies. Collaborating with a team of experts in a dynamic environment, you will contribute to high-impact, real-world applications. Your responsibilities will include designing and developing AI/ML solutions based on project and business requirements, researching and implementing machine learning algorithms, and training and optimizing ML models on domain-specific datasets. You will also be involved in functional design, prototyping, and testing of AI/ML components, working within an agile development environment and taking ownership of deliverables. The ideal candidate for this role will have hands-on experience in deep learning techniques such as NLP, Speech, or Computer Vision, proficiency with ML frameworks like PyTorch or TensorFlow, and experience in developing and fine-tuning Large Language Models (LLMs). Strong Python programming skills, experience with RESTful APIs, and familiarity with cloud platforms such as AWS, Azure, or GCP are also required. Additionally, you should possess a solid understanding of algorithms, data structures, and object-oriented design, along with experience in data modeling, database schema design, and version control using Git. Strong analytical and problem-solving skills, as well as excellent verbal and written communication abilities for cross-functional collaboration, are essential. To qualify for this position, you should hold a Bachelors or Masters degree in Computer Science, Engineering, Mathematics, Statistics, or a related field, with a solid foundation in machine learning principles, algorithms, and statistical modeling. Join us in creating innovative AI/ML solutions that make a real impact in the industry.,

As a Senior Data Scientist / AI Engineer with 8-10 years of experience, you will be a vital part of our team working on developing an AI-enabled ERP solution. Your primary responsibilities will include designing scalable AI models, implementing ML pipelines, and exploring the latest AI technologies to drive innovation. Additionally, you will play a crucial role in managing and mentoring a team of data scientists and AI engineers to foster a collaborative and efficient work environment. Your key responsibilities will involve designing and building AI models from scratch, optimizing machine learning algorithms, and integrating them into our ERP solution. You will also be responsible for developing and maintaining an AI development and deployment pipeline using cloud and containerized solutions. Furthermore, conducting R&D activities to identify opportunities for AI-driven automation, working on sentiment analysis, NLP, and computer vision tasks, and deploying ML models while ensuring seamless integration into production systems will be part of your role. Collaboration with product teams to align AI strategies with business objectives, leading and mentoring a team of data scientists and AI engineers, and fostering a collaborative team culture are essential aspects of this role. Your expertise in Python and ML frameworks, strong understanding of ML algorithms, experience with deep learning architectures, NLP, and computer vision, along with hands-on experience in deploying AI models using Flask APIs, Docker, and Kubernetes are critical for success in this position. Preferred skills include knowledge of Java, experience with software development best practices, understanding of SDLC, version control, CI/CD pipelines, and experience with Big Data technologies. If you are passionate about working with AI-driven products and have a proven track record of solving real-world challenges, we are excited to hear from you! This is a full-time position located in Trivandrum/Kochi, with a remote option available initially. If you have a minimum of 8 years of experience in AI, Machine Learning, or Data Science roles, and have worked on AI model deployment or building AI pipelines, we encourage you to apply. Leadership and team management experience, along with the ability to guide and develop junior team members, are essential requirements for this role. Your strong problem-solving skills, ability to articulate AI concepts effectively, and experience in interacting with clients to communicate AI-driven solutions will be highly valued.,

As an experienced machine learning professional with expertise in deep learning and statistical modeling for earth observation data applications, your key responsibilities will include developing models for segmentation, object classification, crop monitoring, and disaster management. It is essential for you to have proficiency in Python, ML frameworks such as TensorFlow and PyTorch, and strong research skills. An advanced degree is required for this role. SatSure is a deep tech, decision intelligence company that focuses on agriculture, infrastructure, and climate action in the developing world. The company aims to make insights from earth observation data accessible to all. Joining SatSure means being at the forefront of building a deep tech company from India that aims to solve global problems. In this role, you will be responsible for implementing deep-learning models and frameworks for various applications in agriculture and infrastructure using earth observation data. You will design and implement performance evaluation frameworks, explore new methods for improving performance, and build model monitoring and active learning pipelines. Additionally, you will work on solving research problems related to land use and land cover (LULC), crop classification, change monitoring, and disaster management using earth observations. To qualify for this role, you should have a master's degree or PhD in Engineering, Statistics, Mathematics, or Computer Science with 5-8 years of experience in machine learning-based data product research and development. Proficiency in tools and frameworks related to computer science, probability, statistics, learning theory, and deep learning fundamentals is required. Experience with statistical modeling techniques and deep learning models like CNN, RNN, Transformers, and GANs is necessary. You should also be proficient in Python and have hands-on experience in using ML frameworks such as TensorFlow, PyTorch, PyTorch Lightning, and MxNet. Additional qualifications include the ability to design, develop, and optimize machine learning/deep learning models, knowledge of applying ML to earth observation data, and an appetite for research and implementing innovative solutions for complex problems. In addition to a challenging and rewarding work environment, SatSure offers benefits such as medical health cover for you and your family, access to mental health experts, dedicated allowances for learning and skill development, and a comprehensive leave policy. The interview process includes an introductory call, assessment, presentation, multiple interview rounds, and a culture/HR round. Join SatSure to be a part of a dynamic team that is making a positive impact on the world through innovative technology and deep learning solutions.,

You are an experienced AI Application Architect responsible for leading the design and integration of AI/ML capabilities into enterprise applications. Your main objective is to architect intelligent, scalable, and reliable AI solutions that are in line with both business goals and technical strategies. You will work closely with data scientists, ML engineers, and application developers to ensure seamless end-to-end solutions. Additionally, you will be required to select and implement appropriate AI frameworks, APIs, LLMs, and infrastructure tools, as well as drive architecture decisions related to GenAI, NLP, CV, predictive analytics, and agentic AI systems. You will also establish MLOps pipelines for training, testing, and deploying models at scale while ensuring compliance with AI ethics, privacy laws, and data governance policies. Furthermore, you will evaluate emerging technologies, tools, and platforms for enterprise use and act as a technical advisor to leadership on AI opportunities and risks. In terms of required skills, you should have a strong background in AI/ML architecture and solution design, along with hands-on experience in ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Proficiency in LLMs and generative AI tools like OpenAI, Azure OpenAI, LangChain, and Hugging Face is necessary. A solid programming background in Python (FastAPI, Flask) and familiarity with Java/Node.js are essential. Experience with cloud platforms (AWS/GCP/Azure) and ML toolkits like SageMaker, Azure ML, and Vertex AI is also crucial. Additionally, a good understanding of microservices, REST APIs, GraphQL, and event-driven architecture is required. Knowledge of vector databases such as Pinecone, FAISS, Chroma, or Weaviate, as well as proficiency with CI/CD, Docker, Kubernetes, MLflow, Airflow, or similar tools, is expected. Preferred qualifications include experience with multi-agent systems, LangChain, Autogen, or Agentic AI frameworks, familiarity with data governance, model drift detection, and performance monitoring, and prior experience in industries like BFSI, Retail, Healthcare, or Manufacturing. Education-wise, a Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field is required. Certifications in AI/ML, cloud (AWS/GCP/Azure), or MLOps are considered a plus.,

As a Data Scientist specializing in Natural Language Processing (NLP), Computer Vision, Generative AI, and IoT data processing, you will play a pivotal role in the development and optimization of cutting-edge AI solutions at Comsense Technologies in Mumbai, India. Your primary responsibilities will include designing, building, and fine-tuning machine learning models for various AI applications, such as text generation, summarization, image synthesis, and IoT data analysis. Your expertise in deploying AI models on cloud (Azure) and edge environments will be crucial for ensuring scalability, security, and high availability. You will be responsible for developing robust monitoring systems to track model performance and data drift in production environments. Additionally, your role will involve collaborating with cross-functional teams, including product managers, IoT engineers, and software developers, to deliver end-to-end AI solutions. To excel in this role, you must possess strong proficiency in Python, SQL, and Azure cloud services. Experience with CI/CD pipelines, model monitoring, and performance optimization is essential. Moreover, familiarity with ML frameworks like TensorFlow, PyTorch, Hugging Face, and OpenAI APIs, as well as data pipeline tools like Airflow, will be advantageous. Your background in IoT protocols, real-time data processing frameworks, containerization using Docker, and orchestration with Kubernetes will be beneficial for integrating AI solutions into IoT ecosystems. With a solid understanding of MLOps best practices, you will be able to implement scalable AI solutions on cloud architecture effectively. If you have hands-on experience with edge deployment technologies, speech processing, translation APIs, streaming data solutions, AutoML tools, feature stores, and data versioning, it will be considered a plus. Your ability to stay updated on state-of-the-art AI technologies and conduct research for innovative solutions will be highly valued in this role. Join our dynamic AI-driven team at Comsense Technologies and contribute to pioneering AI-driven solutions that will shape the future of technology.,

We are looking for highly motivated and innovative Research Scientists to join our team in Bengaluru, with a focus on advancing multilingual, multicultural, and multimodal large language models (LLMs). Your primary responsibility will be to conduct cutting-edge research on Gemini, particularly in the multilingual, multicultural, and multimodal domain encompassing speech, vision, and text. This research has a direct path to impacting billions of users through Google products. This role provides a unique opportunity to contribute to foundational research in multilingual and multimodal LLMs, with a special emphasis on addressing unique challenges in the Asia-Pacific (APAC) region. You will collaborate with a world-class team at Google DeepMind globally. If you are passionate about shaping the future of human-computer interaction through multilingual and multimodal LLMs and are eager to make a significant impact on users in the APAC region and beyond, we encourage you to apply. Artificial Intelligence has the potential to be one of humanity's most valuable inventions. At Google DeepMind, we are a team of scientists, engineers, machine learning experts, and more, working together to advance the state of the art in artificial intelligence. We utilize our technologies for widespread public benefit and scientific discovery, collaborating with others on critical challenges while ensuring safety and ethics are our highest priorities. This position is within the Languages group at Google DeepMind India, where the focus is on all aspects of LLM development, making impactful contributions to enhance Gemini's multilingual performance. The group's work has also improved various Google products such as Gemini App, Assistant, Search, etc., including foundational contributions to Google Translate's expansion to 110 languages representing over 600 million speakers. As a Research Scientist at Google DeepMind, your key responsibilities will include: - Developing and evaluating multilingual, multicultural, and multimodal LLMs, designing, implementing, and evaluating capabilities in Gemini and other frontier models at Google. - Collaborating with a world-class team, working closely with other research scientists, engineers, and product teams across Google DeepMind to foster a collaborative and intellectually stimulating environment. - Contributing to real-world impact, seeing your work contribute to Gemini and other frontier models at Google with applications across various domains, directly influencing the future of Google products and services. - Contributing to the research community by sharing insights and participating in external academic workshops and conferences. The ideal candidate will possess a Ph.D. (or equivalent research experience) in Computer Science, Artificial Intelligence, or a related field, a strong publication record in top-tier AI conferences or journals, and a solid understanding of deep learning, natural language processing, computer vision, and/or speech processing. Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch, along with excellent communication and collaboration skills, are essential. Additionally, experience with multilingual, multicultural, and/or multimodal learning in LLMs, pretraining, post-training techniques, prompt engineering, few-shot learning, and evaluations would be advantageous. Familiarity with large-scale model training and deployment, as well as strong programming skills in Python or similar languages, are also desired qualities in the ideal candidate.,

As a Machine Learning Specialist in Clinical Supply Chain, you will play a crucial role in leveraging your expertise in data science to enhance the efficiency of our clinical trial supply chain. Your responsibilities will include designing, developing, and implementing machine learning models to predict clinical supply needs, optimize inventory levels, and minimize wastage. By collaborating with various teams, such as clinical operations, supply chain, and IT, you will identify relevant data sources and seamlessly integrate machine learning solutions into existing workflows. Your key duties will involve analyzing extensive datasets from clinical trials, logistics systems, and external sources to identify trends and extract valuable insights. You will be tasked with creating tools and dashboards that facilitate real-time decision-making and scenario planning. It will also be your responsibility to ensure that the developed models adhere to performance standards, scalability requirements, and regulatory guidelines such as GxP and 21 CFR Part 11. Staying abreast of the latest advancements in machine learning and artificial intelligence, you will apply industry best practices to address the challenges faced within the clinical supply chain domain. To excel in this role, you should hold a Master's or PhD degree in Computer Science, Data Science, Engineering, or a related field and possess a minimum of 3 years of experience in machine learning, data science, or AI, preferably within healthcare or life sciences. Your practical knowledge of clinical supply chain processes, including demand forecasting, IRT systems, and logistics planning, will be invaluable. Proficiency in programming languages such as Python, R, SQL, and familiarity with ML frameworks like scikit-learn, TensorFlow, and PyTorch are essential. Additionally, your expertise in statistical modeling, time series forecasting, and optimization techniques will be crucial to your success. Effective communication skills and the ability to collaborate across departments in a dynamic environment are essential qualities for this role. Preferred qualifications include experience with clinical trial data (e.g., EDC, CTMS, IRT), knowledge of regulatory requirements in clinical research, and familiarity with cloud platforms such as AWS, Azure, and GCP, along with MLOps practices. Your technical skills in SQL, R, statistical modeling, Python, ML frameworks, time series forecasting, TensorFlow, and your deep understanding of clinical supply chain operations will be instrumental in driving data-driven decision-making and optimizing logistics within our clinical trial supply chain.,

Arivon is seeking an Artificial Intelligence (AI) Software Engineer with expertise in generative AI, Natural Language Processing (NLP), and LLM. The ideal candidate should have a minimum of 5 years of experience in NLP and Generative AI and LLM research. The role involves tasks such as language model evaluation, data processing for pre-training and fine-tuning, LLM alignment, reinforcement learning for language model tuning, and efficient training and inference. Additionally, the candidate should have experience in multilingual and multimodal modeling. The AI Software Engineer should have hands-on experience with Machine Learning (ML), NLP, and Deep Learning (DL) frameworks like PyTorch, Tensorflow, and SFT on LLM. Proficiency in leveraging LangChain for the development and integration of LLMs into various applications is essential. The candidate should demonstrate a strong ability to enhance AI functionalities through innovative applications of natural language processing and understanding. Experience with model quantization or computational optimizations is considered a plus. Familiarity with cloud platforms such as AWS, GCP, and Azure is advantageous, and prior experience in the Healthcare domain is a bonus. The role also involves designing methods, tools, and infrastructure to advance the state of the art in large language models. Responsibilities include deploying, monitoring, and managing ML models in production to ensure high availability and low latency. The candidate will be expected to manage and optimize ML infrastructure, including cloud services, containers, and orchestration tools. A Master's degree in computer science, computer engineering, or a related technical field is required, while a Ph.D. in AI, computer science, data science, or related fields is preferred. Proficiency in programming languages like Python is necessary for this role.,