Management Level: Ind & Func AI Decision Science Consultant Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. Must-have skills: Programming languages -Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications. Good to have skills :Big data technologies such as Spark or Hadoop,AI model explainability(XAI),bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques. Job Summary We are looking for a Data Scientist / AI Specialist with 3-6 years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges. Roles & Responsibilities: Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients. Work with Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants. Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications. Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions. Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use. Utilize MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives. Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Professional & Technical Skills: 3-6 years of experience in Data Science, Machine Learning, or AI-related roles. Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API. Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications. Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.). Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications. Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. Strong problem-solving and analytical thinking abilities. Ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus:Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins). Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record /MBA from top-tier universities. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 3-6 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Master degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

Collaborate with cross-functional teams to achieve strategic outcomes Apply subject expertise to support operations, planning, and decision-making Utilize tools, analytics, or platforms relevant to the job domain Ensure compliance with policies while improving efficiency and outcomes

• Build ML models, Predictive analytics, Intelligent rule engines & Operational optimization • Search & recommendation model, Design engineering pipelines across data types • Build reproducible ML pipelines integrated into production systems Required Candidate profile • Python (Pandas, NumPy, Scikit-Learn, PyTorch/TensorFlow–basic working level) • Classification, Regression, Anomaly Detection, Ranking models, Forecasting • Windowing, lags, rolling stats, trend

ONLY 30 DAYS JOINERS Hello I hope you're doing well. We are currently hiring for an exciting opportunity with one of our top clients in the field of Generative AI . Based on your background, I believe this role could be a strong match for your expertise. Role Highlights: Location: Bangalore/Chennai/Kolkata/Pune/Hyderabad Experience Required: 11 -16 Years Notice Period: Maximum 30 Days CTC: As per market standards Mandatory Skills: Gen AI, LLM, ML/DL/NLP, RAG, LangChain, Mistral, Llama, Hugging Face, Python, TensorFlow, PyTorch, Django, Vector DB Preferred Skills: GCP/Azure/AWS, Databricks, MLOps (Kubeflow/Mlflow), Kubernetes, GitHub/Bitbucket, ADO, GPT-4 Key Responsibilities: Develop and implement advanced Generative AI models. Apply ML/DL algorithms for real-world applications across NLP and vision domains. Collaborate on data preprocessing, model training, and deployment. Drive innovation by staying current with industry trends and R&D in Gen AI. Ensure responsible AI practices and performance monitoring post-deployment. Mentor junior members and lead AI-driven project initiatives. If you're interested or know someone who fits this role, please share your updated resume and current CTC/Notice Period details. WhatsApp: 987153039 Email: shweta.gupta@sspearhead.com Warm Regards SHWETA GUPTA || Senior Recruitment Specialist Spearhead Professional Services Call/ WhatsApp: 9871530393 LinkedIn Profile: shwetagupta1810

Job Title: AI/ML & GenAI Delivery Manager (AIML With Generative AI ) (Immediate Joiner Only) Experience: 10 -15 Years Location: Pune & Kolkata Job Description: We are seeking a highly experienced AI/ML & Generative AI (GenAI) Project Manager to lead and drive cutting-edge AI initiatives. The ideal candidate will have a strong technical background in AI/ML, expertise in project management, and the ability to lead cross-functional teams to deliver innovative AI solutions. Key Responsibilities: Lead and manage end-to-end AI/ML and GenAI projects, from inception to deployment. Define project scope, objectives, deliverables, timelines, and resource requirements. Collaborate with data scientists, ML engineers, software developers, and business stakeholders to ensure successful project execution. Oversee the design, development, and implementation of AI/ML models, ensuring best practices in model training, validation, and deployment. Evaluate and integrate Generative AI technologies to enhance business processes and customer experiences. Manage project risks, dependencies, and issue resolution to ensure timely delivery. Track project progress using Agile methodologies and tools like Jira, Asana, or Trello. Ensure compliance with AI ethics, security, and data privacy standards. Provide leadership, mentorship, and guidance to AI teams to foster innovation and excellence. Stay updated with industry trends, emerging AI technologies, and best practices. Required Skills & Qualifications: Education: Bachelor's or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. Experience: 10+ years in IT with at least 5+ years of AI/ML project management experience. Strong understanding of Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI models . Hands-on experience in AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, OpenAI, LangChain, LLMs, and cloud AI services . Proficiency in Python, SQL, and data engineering concepts . Expertise in Agile methodologies, SDLC, and DevOps for AI/ML deployments (MLOps). Excellent leadership, communication, and stakeholder management skills. Strong problem-solving and analytical thinking abilities. Knowledge of cloud platforms like AWS, Azure, or GCP for AI/ML workloads. AI ethics, governance, and responsible AI implementation experience is a plus. Preferred Certifications: PMP / PRINCE2 / Agile Scrum Master AI/ML certifications from AWS, Google, or Microsoft Data Science or AI/ML specializations from reputed institutions Show more Show less

***Immediate requirement*** Job Title: AI Engineer with LLM Salary Range: 13 LPA -15 LPA No. of years of experience: 5+ years Job Type: Contract Contract Duration: 12 months (potential to extend) Location: Gurugram, Work Type: Hybrid Start Date: Immediate (Notice period/joining within 1-2 weeks) We are looking for an experienced AI Engineer with a strong background in designing, fine-tuning, and deploying Large Language Models (LLMs). The ideal candidate will have hands-on expertise in NLP, deep learning frameworks (like PyTorch or TensorFlow), prompt engineering, and using APIs or open-source models such as OpenAI, LLaMA, or Mistral. Experience in deploying models to production environments and optimizing for performance is key. Key Skills: LLMs, NLP, Python, Transformers, Prompt Engineering, OpenAI/GPT, Model Fine-Tuning, ML Pipelines, API Integration, MLOps. **Apply only if you can join within 1-2 weeks** Show more Show less

At Livello we building machine-learning-based demand forecasting tools as well as computer-vision-based multi-camera product recognition solutions that detects people and products to track the inserted/removed items on shelves based on the hand movement of users. We are building models to determine real-time inventory levels, user behaviour as well as predicting how much of each product needs to be reordered so that the right products are delivered to the right locations at the right time, to fulfil customer demand. Responsibilities Lead the CV and DS Team Work in the area of Computer Vision and Machine Learning, with focus on product (primarily food) and people recognition (position, movement, age, gender, DSGVO compliant). Your work will include formulation and development of a Machine Learning models to solve the underlying problem. You help build our smart supply chain system, keep up to date with the latest algorithmic improvements in forecasting and predictive areas, challenge the status quo Statistical data modelling and machine learning research. Conceptualize, implement and evaluate algorithmic solutions for supply forecasting, inventory optimization, predicting sales, and automating business processes Conduct applied research to model complex dependencies, statistical inference and predictive modelling Technological conception, design and implementation of new features Quality assurance of the software through planning, creation and execution of tests Work with a cross-functional team to define, build, test, and deploy applications Requirements Master/PHD in Mathematics, Statistics, Engineering, Econometrics, Computer Science or any related fields. 3-4 years of experience with computer vision and data science. Relevant Data Science experience, deep technical background in applied data science (machine learning algorithms, statistical analysis, predictive modelling, forecasting, Bayesian methods, optimization techniques). Experience building production-quality and well-engineered Computer Vision and Data Science products. Experience in image processing, algorithms and neural networks. Knowledge of the tools, libraries and cloud services for Data Science. Ideally Google Cloud Platform Solid Python engineering skills and experience with Python, Tensorflow, Docker Cooperative and independent work, analytical mindset, and willingness to take responsibility Fluency in English, both written and spoken. Skills:- Natural Language Processing (NLP), Computer Vision, TensorFlow, Docker, Forecasting, Predictive modelling, Image Processing, Algorithms and Machine Learning (ML) Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various domains such as deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Mentor junior professionals to foster their growth and development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Experience with cloud-based AI services and deployment strategies.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 15 years of experience in Large Language Models.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Responsibilities: * Design, develop, and deploy generative AI models using Python and TensorFlow. * Optimize model performance through RAG testing and LLM integration.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential as you contribute to innovative projects that push the boundaries of AI capabilities. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Continuously evaluate and improve existing processes and methodologies to optimize team efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud-based AI services and their integration.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various domains such as deep learning, neural networks, chatbots, and image processing, contributing to innovative projects that push the boundaries of technology. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Mentor junior professionals to foster their growth and development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud computing platforms and services.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 15 years of experience in Large Language Models.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

Job Description Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). OCI is currently building a future-ready Gen2 cloud Data Science service platform. At the core of this platform, lies Cloud AI Cloud Service. What OCI AI Cloud Services are: A set of services on the public cloud, that are powered by ML and AI to meet the Enterprise modernization needs, and that work out of the box. These services and models can be easily specialized for specific customers/domains by demonstrating existing OCI services. Key Points: Enables customers to add AI capabilities to their Apps and Workflows easily via APIs or Containers, Useable without needing to build AI expertise in-house and Covers key gaps – Decision Support, NLP, for Public Clouds and Enterprise in NLU, NLP, Vision and Conversational AI. You’re Opportunity: As we innovate to provide a single collaborative ML environment for data-science professionals, we will be extremely happy to have you join us and share the very future of our Machine Learning platform - by building an AI Cloud service. We are addressing exciting challenges at the intersection of artificial intelligence and innovative cloud infrastructure. We are building cloud services in Computer vision for Image/Video and Document Analysis, Decision Support (Anomaly Detection, Time series forecasting, Fraud detection, Content moderation, Risk prevention, predictive analytics), Natural Language Processing (NLP), and, Speech that works out of the box for enterprises. Our product vision includes the ability for enterprises to be able to customize the services for their business and train them to specialize in their data by creating micro models that enhance the global AI models. What You’ll Do Develop scalable infrastructure, including microservices and a backend, that automates training, deployment, and optimization of ML model inference. Building a core of Artificial Intelligence and AI services such as Vision, Speech, Language, Decision, and others. Brainstorm and design various POCs using AI Perpetual AI Services for new or existing enterprise problems. Collaborate with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs, understanding theirs, and addressing external and internal shareholder product challenges. Lead research and development efforts to explore new tools, frameworks, and methodologies to improve backend development processes. Experiment with ML models in Python/C++ using machine learning libraries (Pytorch, ONNX, TensorRT, Triton, TensorFlow, Jax), etc. Leverage Cloud technology – Oracle Cloud (OCI), AWS, GCP, Azure, or similar technology. Qualifications Master’s degree or equivalent experience (preferred) in computer science, Statistics or Mathematics, artificial intelligence, machine learning, Computer vision, operations research, or related technical field. 3+ years for PhD or equivalent experience, 5+ years for Masters, or demonstrated ability designing, implementing, and deploying machine learning models in production environments. Practical experience in design, implementation, and production deployment of distributed systems using microservices architecture and APIs using common frameworks like Spring Boot (Java), etc. Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes). Working knowledge of current techniques, approaches, and inference optimization strategies in machine learning models. Experience with performance tuning, scalability, and load balancing techniques. Expert in at least one high-level language such as Java/C++ (Java preferred). Expert in at least one scripting language such as Python, Javascript, and Shell . Deep understanding of data structures, and algorithms, and excellent problem-solving skills. Experience or willingness to learn and work in Agile and iterative development and DevOps processes. Strong drive to learn and master new technologies and techniques. You enjoy a fast-paced work environment. Additional Preferred Qualifications Experience with Cloud Native Frameworks tools and products is a plus Experience in Computer vision tasks like Image Classification, Object Detection, Segmentation, Text detection & recognition, Information extraction from documents, etc. Having an impressive set of GitHub projects or contributions to open-source technologies is a plus Hands-on experience with horizontally scalable data stores such as Hadoop and other NoSQL technologies like Cassandra is a plus. Our vision is to provide an immersive AI experience on Oracle Cloud. Aggressive as it might sound, our growth journey is fueled by highly energetic, technology-savvy engineers like YOU who are looking to grow with us to meet the demands of building a powerful next-generation platform. Are you ready to do something big? Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Requisition Description Project oversight: Lead and manage Gen AI projects from inception to completion, ensuring alignment with organizational goals. Strategic Planning: Independently work with stakeholders across functions in identifying areas for deployment of AI solutions which will result in improved productivity and overall organization benefits. Develop and implement project plans, timelines and milestones to ensure timely delivery. Technical Expertise: Provide technical guidance and expertise in the development and deployment of Gen AI models and solutions. The guidance could be in the form of in-house development as well as through third party vendors specializing in the proposed use case. Stakeholder Collaboration: Work closely with stakeholders to understand business needs and translate them into technical requirements. Innovation: Drive innovation by exploring and implementing cutting-edge Gen AI technologies and methodologies. Quality Assurance: Ensure the highest standards of quality and performance in all Gen AI projects. Documentation: Maintain comprehensive documentation of project processes, outcomes and lessons learned. Budget Management: Manage project budgets and demonstrate the return on investment. Experience: Minimum of 4-5 years of experience in AL/ML with experience of independently leading projects. Technical Skills: Proficiency in programming languages (Python, R, Java), experience with AI frameworks (TensorFlow, PyTorch) and knowledge of cloud platforms (AWS, Azure) Project Management: Strong project management skills, including experience with agile methodologies Communication skills: Excellent verbal and written communication skills, with the ability to present complex technical information to non-technical stakeholders. Problem solving: Strong analytical and problem-solving skills, with a track record of delivering successful AI projects. Domain Expertise: Experience in BFSI segment will get preference Roles And Responsibilities Project oversight: Lead and manage Gen AI projects from inception to completion, ensuring alignment with organizational goals. Strategic Planning: Independently work with stakeholders across functions in identifying areas for deployment of AI solutions which will result in improved productivity and overall organization benefits. Develop and implement project plans, timelines and milestones to ensure timely delivery. Technical Expertise: Provide technical guidance and expertise in the development and deployment of Gen AI models and solutions. The guidance could be in the form of in-house development as well as through third party vendors specializing in the proposed use case. Stakeholder Collaboration: Work closely with stakeholders to understand business needs and translate them into technical requirements. Innovation: Drive innovation by exploring and implementing cutting-edge Gen AI technologies and methodologies. Quality Assurance: Ensure the highest standards of quality and performance in all Gen AI projects. Documentation: Maintain comprehensive documentation of project processes, outcomes and lessons learned. Budget Management: Manage project budgets and demonstrate the return on investment. Show more Show less

Job Summary: The Head of Presales – AI Solutions leads the technical sales strategy and solutioning efforts for AI-driven offerings across industry verticals. This role is responsible for leading a team of solution architects and presales engineers to articulate the value of AI/ML technologies to clients, develop winning proposals, and support the sales lifecycle from qualification to closure. Key Responsibilities: Leadership & Strategy Define and drive the presales strategy for AI/ML solutions across geographies and verticals. Build and lead a high-performing presales team comprising AI solution architects, data scientists, and technical consultants. Collaborate with product, engineering, and marketing to align go-to-market strategies with customer needs. Client Engagement Engage with C-level executives and business stakeholders to understand business challenges and translate them into AI-driven opportunities. Conduct discovery sessions, workshops, and technical deep-dives to shape client requirements. Solutioning & Proposal Support Oversee the design and development of AI/ML solution architectures, prototypes, and demos tailored to client needs. Manage RFP/RFI responses, technical proposals, and solution presentations. Ensure alignment of proposed solutions with client goals, budget, and timelines. Sales Enablement Train and support sales teams with product/solution knowledge, value propositions, and competitive positioning. Drive technical win strategies and collaborate on deal closure activities. Need do to Business Development. Innovation & Market Intelligence Stay abreast of the latest AI/ML technologies, frameworks, and competitive landscape. Collaborate with innovation and delivery teams to package repeatable AI offerings and accelerators. Key Requirements: Education & Experience Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. 15+ years of experience in presales or solution consulting in IT, with at least 5 years in AI/ML or data science domains. Proven experience in leading large presales or solutions teams in enterprise sales cycles. Technical Skills Strong understanding of AI/ML concepts, model lifecycle (MLOps), data engineering, and cloud AI services (Azure AI, AWS SageMaker, Google Vertex AI). Experience with frameworks like TensorFlow, PyTorch, Hugging Face, and LLMs (e.g., OpenAI, Cohere, Anthropic). Familiarity with data platforms, APIs, and enterprise architectures. Expertise in solution architecture and design documentation, including: High-Level Design (HLD) and Low-Level Design (LLD) Capable of conducting proof-of-concepts (PoCs) and technical demonstrations Skilled in working with OEMs and managing joint solution development Knowledge of and relationship with OEMs Proven ability to deliver business-aligned technology solutions for diverse industry use cases Soft Skills Excellent presentation and communication skills, especially in translating technical content into business outcomes. Strategic thinking, problem-solving ability, and strong business acumen. Collaborative leadership style with stakeholder management and team-building capabilities. People Management Proven team leadership and mentoring experience, especially in pre-sales and solutioning Ability to motivate cross-functional teams and foster a collaborative work environment Skilled in performance management, goal setting, and team development Capable of building scalable solutioning teams and driving accountability KPIs / Success Metrics: Presales win ratio and contribution to revenue growth Deal conversion rate from solution qualification Time-to-proposal and solution turnaround time Client satisfaction scores from presales engagements Team competency growth and retention Show more Show less

Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India’s first impact university, we are committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. Backed by renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society. We are currently looking for a Data Engineer + Subject Matter Expert – Data Mining to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics. Key Responsibilities Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", “BigData” and “Data Analytics” courses, covering the full syllabus from foundational concepts to advanced techniques. Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering. Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering and Anomaly Detections. Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software. Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs). Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle). Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge. Contribute to the academic and research environment of the department and the university. Required Qualifications A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field. Demonstrable expertise in the core concepts of data engineering and machine learning as outlined in the syllabus. Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn). Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging. Excellent communication and interpersonal skills. Preferred Qualifications A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals. Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role. Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch). Experience in mentoring student teams for data science competitions or hackathons. Perks & Benefits Competitive salary packages aligned with industry standards. Access to state-of-the-art labs and classroom facilities. To know more about us, feel free to explore our website: Newton School of Technology We look forward to the possibility of having you join our academic team and help shape the future of tech education! Show more Show less

Job Description Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). OCI is currently building a future-ready Gen2 cloud Data Science service platform. At the core of this platform, lies Cloud AI Cloud Service. What OCI AI Cloud Services are: A set of services on the public cloud, that are powered by ML and AI to meet the Enterprise modernization needs, and that work out of the box. These services and models can be easily specialized for specific customers/domains by demonstrating existing OCI services. Key Points: Enables customers to add AI capabilities to their Apps and Workflows easily via APIs or Containers, Useable without needing to build AI expertise in-house and Covers key gaps – Decision Support, NLP, for Public Clouds and Enterprise in NLU, NLP, Vision and Conversational AI. You’re Opportunity: As we innovate to provide a single collaborative ML environment for data-science professionals, we will be extremely happy to have you join us and share the very future of our Machine Learning platform - by building an AI Cloud service. We are addressing exciting challenges at the intersection of artificial intelligence and innovative cloud infrastructure. We are building cloud services in Computer vision for Image/Video and Document Analysis, Decision Support (Anomaly Detection, Time series forecasting, Fraud detection, Content moderation, Risk prevention, predictive analytics), Natural Language Processing (NLP), and, Speech that works out of the box for enterprises. Our product vision includes the ability for enterprises to be able to customize the services for their business and train them to specialize in their data by creating micro models that enhance the global AI models. What You’ll Do Develop scalable infrastructure, including microservices and a backend, that automates training, deployment, and optimization of ML model inference. Building a core of Artificial Intelligence and AI services such as Vision, Speech, Language, Decision, and others. Brainstorm and design various POCs using AI Perpetual AI Services for new or existing enterprise problems. Collaborate with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs, understanding theirs, and addressing external and internal shareholder product challenges. Lead research and development efforts to explore new tools, frameworks, and methodologies to improve backend development processes. Experiment with ML models in Python/C++ using machine learning libraries (Pytorch, ONNX, TensorRT, Triton, TensorFlow, Jax), etc. Leverage Cloud technology – Oracle Cloud (OCI), AWS, GCP, Azure, or similar technology. Qualifications Master’s degree or equivalent experience (preferred) in computer science, Statistics or Mathematics, artificial intelligence, machine learning, Computer vision, operations research, or related technical field. 3+ years for PhD or equivalent experience, 5+ years for Masters, or demonstrated ability designing, implementing, and deploying machine learning models in production environments. Practical experience in design, implementation, and production deployment of distributed systems using microservices architecture and APIs using common frameworks like Spring Boot (Java), etc. Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes). Working knowledge of current techniques, approaches, and inference optimization strategies in machine learning models. Experience with performance tuning, scalability, and load balancing techniques. Expert in at least one high-level language such as Java/C++ (Java preferred). Expert in at least one scripting language such as Python, Javascript, and Shell . Deep understanding of data structures, and algorithms, and excellent problem-solving skills. Experience or willingness to learn and work in Agile and iterative development and DevOps processes. Strong drive to learn and master new technologies and techniques. You enjoy a fast-paced work environment. Additional Preferred Qualifications Experience with Cloud Native Frameworks tools and products is a plus Experience in Computer vision tasks like Image Classification, Object Detection, Segmentation, Text detection & recognition, Information extraction from documents, etc. Having an impressive set of GitHub projects or contributions to open-source technologies is a plus Hands-on experience with horizontally scalable data stores such as Hadoop and other NoSQL technologies like Cassandra is a plus. Our vision is to provide an immersive AI experience on Oracle Cloud. Aggressive as it might sound, our growth journey is fueled by highly energetic, technology-savvy engineers like YOU who are looking to grow with us to meet the demands of building a powerful next-generation platform. Are you ready to do something big? Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Role & responsibilities A results-driven AI/ML Engineer with a strong foundation in machine learning, deep learning, and data science. Skilled in designing, developing, and deploying intelligent solutions that solve real-world problems across domains such as customer experience, natural language processing, and predictive analytics. Proficient in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, Azure). Experienced in building scalable models, fine-tuning large language models (LLMs), and applying AI to optimize user engagement and business outcomes. Design and implement machine learning models for classification, regression, clustering, and NLP tasks. Build data pipelines for training and inference using structured and unstructured data. Fine-tune pre-trained models (e.g., BERT, GPT, LLaMA, Whisper, RNNoise) for domain-specific tasks. Develop APIs and interfaces to serve AI/ML models at scale (e.g., using FastAPI, Flask, TensorFlow Serving). Collaborate with data engineers to ensure data availability, quality, and consistency. Conduct A/B testing, model validation, and monitor model performance in production. Research and integrate state-of-the-art ML and deep learning techniques. Work with cloud platforms (AWS/GCP/Azure) and MLOps tools for model deployment and lifecycle management. Familiarity with the customer experience domain is a strong advantage 5-10 years of experience. Interested candidates are requested to share their updated CV at deepak.singh@moksatechnologies.com along with the following details: Total Experience: Current CTC: Expected CTC: Current Location: Notice Period:

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Meet Our Team Sr. Data Scientist – Job description The Data & Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system. Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape. Roles & Responsibilities The role will focus on building out machine learning solutions for WBD’s Data and Analytics organization. Primary focus will be on unlocking machine learning opportunities and building foundational machine learning training and inference pipelines at scale. You have a deep understanding of different types of data, metrics and KPIs. You will lead by example and define the best practices, will set high standards for the entire team and for the rest of the organization. You have a successful track record for ambitious projects across cross-functional teams. You are passionate and results oriented. You strive for technical excellence and are very hands-on. Your co-workers love working with you. You have built respect in your career through concrete accomplishments. Build cutting-edge capabilities utilizing machine learning and data science (e.g., large language models, computer vision models, advanced ad & content targeting, etc.) Lead data science and model development techniques for the team. Leverage industry best practices and tools to continually improve teams' ability to build machine learning models. What To Bring BA/BS in statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus 4+ years of experience building data science/statistical models (Multivariate regression, Time Series Model, XGBoost, Causal inference etc.) Strong understanding of modern ML approaches (GBDT, CNN, LSTM, GRU, HRNN, transformers, siamese neural networks, variational auto-encoders, ...). Experience with Deep Learning, NLP, LLMs, Reinforcement Learning, Causal Inference. Good knowledge of ML tools and frameworks (TensorFlow, Keras, pyTorch, scikit-learn, Spark,...). Proficiency in programming languages such as Python or R. Familiarity with real-world ML systems (configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, monitoring). Good understanding of operating machine learning solutions at scale, covering the end-to-end ML workflow. Strong interpersonal skills with the ability to motivate, collaborate and influence Ability to deliver on multiple projects and meet tight deadlines Ability to effectively influence and communicate cross-functionally with all levels How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. Show more Show less

Note : 5 days work from Office. Atleast one round must be F2F. Job Summary: We are seeking a highly skilled Senior AI/ML Engineer with extensive experience in Generative AI to lead the design, implementation, and optimization of advanced AI/ML solutions. The ideal candidate will serve as a subject matter expert (SME), mentor a team of AI/ML specialists and collaborating with cross-functional teams to deliver impactful solutions. Must-Have Skills: Proficiency in AI/ML frameworks such as PyTorch, TensorFlow, Keras and in using libraries such as Pandas, NumPy and Scikit-Learn ., with strong Python programming skills. Experience with AWS services, particularly AWS Bedrock and Lambda functions, as well as familiarity with Azure. Hands-on expertise in LangChain (agents, chains, memories, parsers, document loaders) and CrewAI . Develop and optimize Generative AI models, including GANs, VAEs, and transformer-based architectures, tailored to solve complex business problems. Proven ability to develop and optimize NLP models , and build production-ready RAG (Retrieval-Augmented Generation) systems, chatbots, and AI applications using OpenAI API s, Ollama, Llama, and llamaparse . Advanced prompt engineering techniques, including Chain of Thought (CoT) prompting. Familiarity with Docker, CI/CD pipelines, YML file management and Airflow Strong understanding of system design principles, including security, scalability, and performance optimization. Experience in responsible AI practices, including guardrails and moderation mechanisms. Experience with large-scale AI model training and fine-tuning. Interested candidate can share your resumes to Sathishkumar.b@veehealthtek.com.

Job Description Oracle Customer Success Services Building on the mindset that "Who knows Oracle …. better than Oracle?" Oracle Customer Success Services assists customers with their requirements for some of the most cutting-edge applications and solutions by utilizing the strengths of more than two decades of expertise in developing mission-critical solutions for enterprise customers and combining it with cutting-edge technology to provide our customers' speed, flexibility, resiliency, and security to enable customers to optimize their investment, minimize risk, and achieve more. The business was established with an entrepreneurial mindset and supports a vibrant, imaginative, and highly varied workplace. We are free of obligations, so we'll need your help to turn it into a premier engineering hub that prioritizes quality. Why? Oracle Customer Success Services Engineering is responsible for designing, building, and managing cutting-edge solutions, services, and core platforms to support the managed cloud business including but not limited to Oracle Cloud Infrastructure (OCI), Oracle Cloud Applications (SaaS) & Oracle Enterprise Applications. This position is for CSS Architecture Team, and we are searching for the finest and brightest technologists as we begin on the road of cloud-native digital transformation. We operate under a garage culture, rely on cutting-edge technology in our daily work, and provide a highly innovative, creative, and experimental work environment. We prefer to innovate and move quickly, putting a strong emphasis on scalability and robustness. We need your assistance to build a top-tier engineering team that has a significant influence. What? As a Principal Data Science & AIML Engineer within the CSS CDO Architecture & Platform team, you’ll lead efforts in designing and building scalable, distributed, resilient services that provide artificial intelligence and machine learning capabilities on OCI & Oracle Cloud Applications for the business. You will be responsible for the design and development of machine learning systems and applications, ensuring they meet the needs of our clients and align with the company's strategic objectives. The ideal candidate will have extensive experience in machine learning algorithms, model creation and evaluation, data engineering and data processing for large scale distributed systems, and software development methodologies. We strongly believe in ownership and challenging the status quo. We expect you to bring critical thinking and long-term design impact while building solutions and products defining system integrations, and cross-cutting concerns. Being part of the architecture function also provides you with the unique ability to enforce new processes and design patterns that will be future-proof while building new services or products. As a thought leader, you will own and lead the complete SDLC from Architecture Design, Development, Test, Operational Readiness, and Platform SRE. Responsibilities As a member of the architecture team, you will be in charge of designing software products, services, and platforms, as well as creating, testing, and managing the systems and applications we create in line with the architecture patterns and standards. As a core member of the Architecture Chapter, you will be expected to advocate for the adoption of software architecture and design patterns among cross-functional teams both within and outside of engineering roles. You will also be expected to act as a mentor and act in capacity as an advisor to the team(s) within the software and AIML domain. As we push for digital transformation throughout the organization, you will constantly be expected to think creatively and optimize and harmonize business processes. Core Responsibilities Lead the development of machine learning models, integration with full stack software ecosystem, data engineering and contribute to the design strategy. Collaborate with product managers and development teams to identify software requirements and define project scopes. Develop and maintain technical documentation, including architecture diagrams, design specifications, and system diagrams. Analyze and recommend new software technologies and platforms to ensure the company stays ahead of the curve. Work with development teams to ensure software projects are delivered on time, within budget, and to the required quality standards. Provide guidance and mentorship to junior developers. Stay up-to-date with industry trends and developments in software architecture and development practices. Required Qualifications Bachelor's or Master's Degree in Computer Science, Machine Learning/AI, or a closely related field. 6+ years of experience in software development, machine learning, data science, and data engineering design. Proven ability to build and manage enterprise-distributed and/or cloud-native systems. Broad knowledge of cutting-edge machine learning models and strong domain expertise in both traditional and deep learning, particularly in areas such as Recommendation Engines, NLP & Transformers, Computer Vision, and Generative AI. Advanced proficiency in Python and frameworks such as FastAPI, Dapr & Flask or equivalent. Deep experience with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn. Hands-on experience building ML models from scratch, transfer learning, and Retrieval Augmented Generation (RAG) using various techniques (Native, Hybrid, C-RAG, Graph RAG, Agentic RAG, and Multi-Agent RAG). Experience building Agentic Systems with SLMs and LLMs using frameworks like Langgraph + Langchain, AutoGen, LlamaIndex, Bedrock, Vertex, Agent Development Kit, Model Context Protocol (MCP)and Haystack or equivalent. Experience in Data Engineering using data lakehouse stacks such as ETL/ELT, and data processing with Apache Hadoop, Spark, Flink, Beam, and dbt. Experience with Data Warehousing and Lakes such as Apache Iceberg, Hudi, Delta Lake, and cloud-managed solutions like OCI Data Lakehouse. Experience in data visualization and analytics with Apache Superset, Apache Zeppelin, Oracle Analytics Cloud or similar. Hands-on experience working with various data types and storage formats, including NoSQL, SQL, Graph databases, and data serialization formats like Parquet and Arrow. Experience with real-time distributed systems using streaming data with Kafka, NiFi, or Pulsar. Strong expertise in software design concepts, patterns (e.g., 12-Factor Apps), and tools to create CNCF-compliant software with hands-on knowledge of containerization technologies like Docker and Kubernetes. Proven ability to build and deploy software applications on one or more public cloud providers (OCI, AWS, Azure, GCP, or similar). Demonstrated ability to write full-stack applications using polyglot programming with languages/frameworks like FastAPI, Python, and Golang. Experience designing API-first systems with application stacks like FARM and MERN, and technologies such as gRPC and REST. Solid understanding of Design Thinking, Test-Driven Development (TDD), BDD, and end-to-end SDLC. Experience in DevOps practices, including Kubernetes, CI/CD, Blue-Green, and Canary deployments. Experience with Microservice architecture patterns, including API Gateways, Event-Driven & Reactive Architecture, CQRS, and SAGA. Familiarity with OOP design principles (SOLID, DRY, KISS, Common Closure, and Module Encapsulation). Proven ability to design software systems using various design patterns (Creational, Structural, and Behavioral). Strong interpersonal skills and the ability to effectively communicate with business stakeholders. Demonstrated ability to drive technology adoption in AIML Solutions and CNCF software stack. Excellent analytical, problem-solving, communication, and leadership skills. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Key Responsibilities: Lead the design and implementation of AI/ML solutions across various business domains. Architect end-to-end GenAI solutions, ensuring scalability, reliability, and security. Collaborate with data scientists, engineers, and product managers to translate business requirements into technical solutions. Evaluate and select appropriate AI frameworks, tools, and build core AI framework. Ensure best practices in software engineering, code quality, and system security. Oversee integration of AI models into existing software products and cloud environments. Mentor and guide development teams on AI/ML best practices and software architecture. Stay updated with the latest advancements in AI, ML, and software engineering. Required Qualifications: 8+ years of experience in software development, with at least 3 years in AI/ML solution architecture. Strong programming skills in Python, Java, or similar languages. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Solid understanding of software architecture patterns, APIs, and microservices. Proven track record of delivering complex AI projects from concept to production. Preferred Skills: Experience with MLOps, CI/CD for ML, and containerization (Docker, Kubernetes). Familiarity with data engineering tools (Spark, Kafka, Airflow). Knowledge of data privacy, security, and compliance in AI systems. Strong communication skills to effectively collaborate with various stakeholders Critical thinking and problem-solving skills are essential Proven ability to lead and manage projects with cross-functional teams

Job Description Oracle Customer Success Services Building on the mindset that "Who knows Oracle …. better than Oracle?" Oracle Customer Success Services assists customers with their requirements for some of the most cutting-edge applications and solutions by utilizing the strengths of more than two decades of expertise in developing mission-critical solutions for enterprise customers and combining it with cutting-edge technology to provide our customers' speed, flexibility, resiliency, and security to enable customers to optimize their investment, minimize risk, and achieve more. The business was established with an entrepreneurial mindset and supports a vibrant, imaginative, and highly varied workplace. We are free of obligations, so we'll need your help to turn it into a premier engineering hub that prioritizes quality. Why? Oracle Customer Success Services Engineering is responsible for designing, building, and managing cutting-edge solutions, services, and core platforms to support the managed cloud business including but not limited to Oracle Cloud Infrastructure (OCI), Oracle Cloud Applications (SaaS) & Oracle Enterprise Applications. This position is for CSS Architecture Team, and we are searching for the finest and brightest technologists as we begin on the road of cloud-native digital transformation. We operate under a garage culture, rely on cutting-edge technology in our daily work, and provide a highly innovative, creative, and experimental work environment. We prefer to innovate and move quickly, putting a strong emphasis on scalability and robustness. We need your assistance to build a top-tier engineering team that has a significant influence. What? As a Principal Data Science & AIML Engineer within the CSS CDO Architecture & Platform team, you’ll lead efforts in designing and building scalable, distributed, resilient services that provide artificial intelligence and machine learning capabilities on OCI & Oracle Cloud Applications for the business. You will be responsible for the design and development of machine learning systems and applications, ensuring they meet the needs of our clients and align with the company's strategic objectives. The ideal candidate will have extensive experience in machine learning algorithms, model creation and evaluation, data engineering and data processing for large scale distributed systems, and software development methodologies. We strongly believe in ownership and challenging the status quo. We expect you to bring critical thinking and long-term design impact while building solutions and products defining system integrations, and cross-cutting concerns. Being part of the architecture function also provides you with the unique ability to enforce new processes and design patterns that will be future-proof while building new services or products. As a thought leader, you will own and lead the complete SDLC from Architecture Design, Development, Test, Operational Readiness, and Platform SRE. Responsibilities As a member of the architecture team, you will be in charge of designing software products, services, and platforms, as well as creating, testing, and managing the systems and applications we create in line with the architecture patterns and standards. As a core member of the Architecture Chapter, you will be expected to advocate for the adoption of software architecture and design patterns among cross-functional teams both within and outside of engineering roles. You will also be expected to act as a mentor and act in capacity as an advisor to the team(s) within the software and AIML domain. As we push for digital transformation throughout the organization, you will constantly be expected to think creatively and optimize and harmonize business processes. Core Responsibilities Lead the development of machine learning models, integration with full stack software ecosystem, data engineering and contribute to the design strategy. Collaborate with product managers and development teams to identify software requirements and define project scopes. Develop and maintain technical documentation, including architecture diagrams, design specifications, and system diagrams. Analyze and recommend new software technologies and platforms to ensure the company stays ahead of the curve. Work with development teams to ensure software projects are delivered on time, within budget, and to the required quality standards. Provide guidance and mentorship to junior developers. Stay up-to-date with industry trends and developments in software architecture and development practices. Required Qualifications Bachelor's or Master's Degree in Computer Science, Machine Learning/AI, or a closely related field. 6+ years of experience in software development, machine learning, data science, and data engineering design. Proven ability to build and manage enterprise-distributed and/or cloud-native systems. Broad knowledge of cutting-edge machine learning models and strong domain expertise in both traditional and deep learning, particularly in areas such as Recommendation Engines, NLP & Transformers, Computer Vision, and Generative AI. Advanced proficiency in Python and frameworks such as FastAPI, Dapr & Flask or equivalent. Deep experience with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn. Hands-on experience building ML models from scratch, transfer learning, and Retrieval Augmented Generation (RAG) using various techniques (Native, Hybrid, C-RAG, Graph RAG, Agentic RAG, and Multi-Agent RAG). Experience building Agentic Systems with SLMs and LLMs using frameworks like Langgraph + Langchain, AutoGen, LlamaIndex, Bedrock, Vertex, Agent Development Kit, Model Context Protocol (MCP)and Haystack or equivalent. Experience in Data Engineering using data lakehouse stacks such as ETL/ELT, and data processing with Apache Hadoop, Spark, Flink, Beam, and dbt. Experience with Data Warehousing and Lakes such as Apache Iceberg, Hudi, Delta Lake, and cloud-managed solutions like OCI Data Lakehouse. Experience in data visualization and analytics with Apache Superset, Apache Zeppelin, Oracle Analytics Cloud or similar. Hands-on experience working with various data types and storage formats, including NoSQL, SQL, Graph databases, and data serialization formats like Parquet and Arrow. Experience with real-time distributed systems using streaming data with Kafka, NiFi, or Pulsar. Strong expertise in software design concepts, patterns (e.g., 12-Factor Apps), and tools to create CNCF-compliant software with hands-on knowledge of containerization technologies like Docker and Kubernetes. Proven ability to build and deploy software applications on one or more public cloud providers (OCI, AWS, Azure, GCP, or similar). Demonstrated ability to write full-stack applications using polyglot programming with languages/frameworks like FastAPI, Python, and Golang. Experience designing API-first systems with application stacks like FARM and MERN, and technologies such as gRPC and REST. Solid understanding of Design Thinking, Test-Driven Development (TDD), BDD, and end-to-end SDLC. Experience in DevOps practices, including Kubernetes, CI/CD, Blue-Green, and Canary deployments. Experience with Microservice architecture patterns, including API Gateways, Event-Driven & Reactive Architecture, CQRS, and SAGA. Familiarity with OOP design principles (SOLID, DRY, KISS, Common Closure, and Module Encapsulation). Proven ability to design software systems using various design patterns (Creational, Structural, and Behavioral). Strong interpersonal skills and the ability to effectively communicate with business stakeholders. Demonstrated ability to drive technology adoption in AIML Solutions and CNCF software stack. Excellent analytical, problem-solving, communication, and leadership skills. Qualifications Career Level - IC4 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Are you excited by the challenge of pushing the boundaries with the latest advancements in computer vision and multi-modal Large Language Models? Does the idea of working on the edge of AI research and applying it to create industry-defining software solutions resonate with you? At Nielsen Sports, we provide the most comprehensive and trusted data and analytics for the global sports ecosystem, helping clients understand media value, fan behavior, and sponsorship effectiveness. This role will place you at the forefront of this mission, architecting and implementing sophisticated AI systems that unlock novel insights from complex multimedia sports data. We are looking for Principal / Sr Principal Engineers to join us on this mission. Key Responsibilities: Technical Leadership & Architecture: Lead the design and architecture of scalable and robust AI/ML systems, particularly focusing on computer vision and LLM applications for sports media analysis Model Development & Training: Spearhead the development, training, and fine-tuning of sophisticated deep learning models (e.g., object detectors like RT-DETR, custom classifiers, generative models) on large-scale, domain-specific datasets (like sports imagery and video) Generalized Object Detection: Develop and implement advanced computer vision models capable of identifying a wide array of visual elements (e.g., logos, brand assets, on-screen graphics) in diverse and challenging sports content, including those not seen during training LLM & GenAI Integration: Explore and implement solutions leveraging LLMs and Generative AI for tasks such as content summarization, insight generation, data augmentation, and model validation (e.g., using vision models to verify detections) System Implementation & Deployment: Build and deploy production-ready AI/ML pipelines, ensuring efficiency, scalability, and maintainability. This includes developing APIs and integrating models into broader Nielsen Sports platforms UI/UX for AI Tools: Guide or contribute to the development of internal tools and simple user interfaces (using frameworks like Streamlit, Gradio, or web stacks) to showcase model capabilities, facilitate data annotation, and allow for human-in-the-loop validation Research & Innovation: Stay at the forefront of advancements in computer vision, LLMs, and related AI fields. Evaluate and prototype new technologies and methodologies to drive innovation within Nielsen Sports Mentorship & Collaboration: Mentor junior engineers, share knowledge, and collaborate effectively with cross-functional teams including product managers, data scientists, and operations Performance Optimization: Optimize model performance for speed and accuracy, and ensure efficient use of computational resources (including cloud platforms like AWS, GCP, or Azure) Data Strategy: Contribute to data acquisition, preprocessing, and augmentation strategies to enhance model performance and generalization Required Qualifications: Bachelors of Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field 5+ years (for Principal / MTS-4) / 8+ years (for Senior Principal / MTS-5) of hands-on experience in developing and deploying AI/ML models, with a strong focus on Computer Vision Proven experience in training deep learning models for object detection (e.g., YOLO, Faster R-CNN, DETR variants like RT-DETR) on custom datasets Experience in finetuning LLMs like Llama 2/3, Mistral, or open-source models available on Hugging Face using libraries such as Hugging Face Transformers, PEFT, or specialized frameworks like Axolotl/Unsloth Proficiency in Python and deep learning frameworks such as PyTorch (preferred) or TensorFlow/Keras Demonstrable experience with Multi Modal Large Language Models (LLMs) and their application, including familiarity with transformer architectures and fine-tuning techniques Experience with developing simple UIs for model interaction or data annotation (e.g., using Streamlit, Gradio, Flask/Django) Solid understanding of MLOps principles and experience with tools for model deployment, monitoring, and lifecycle management (e.g., Docker, Kubernetes, Kubeflow, MLflow) Strong software engineering fundamentals, including code versioning (Git), testing, and CI/CD practices Excellent problem-solving skills and the ability to work with complex, large-scale datasets Strong communication and collaboration skills, with the ability to convey complex technical concepts to diverse audiences Full Stack Development experience in any one stack Preferred Qualifications / Bonus Skills: Experience with Generative AI vision models for tasks like image analysis, description, or validation Track record of publications in top-tier AI/ML/CV conferences or journals Experience working with sports data (broadcast feeds, social media imagery, sponsorship analytics) Proficiency in cloud computing platforms (AWS, GCP, Azure) and their AI/ML services Experience with video processing and analysis techniques Familiarity with data pipeline and distributed computing tools (e.g., Apache Spark, Kafka) Demonstrated ability to lead technical projects and mentor team members Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. Show more Show less

Job Summary This is a role for Senior ML engineer and data scientist who should have strong AIML knowledge including GenAI and agentic framework and is expected to lead a team of data scientist in technical implementation and coding , solution design , testing and deployment. Key Responsibilities Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch, Gen AI – LLM , AI Agentic framework Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Proven ability to apply, debug, and develop machine learning models Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Skills And Experience Masters with specialisation in Technology with certification in AI and ML 12- 15 years relevant of Hands-on Experience in developing and delivering AI solutions with strong foundational knowledge on AIML, Python programming language Experience in Gen AI , LLM is mandatory. It will be good to have and agentic framework knowledge. Qualifications Masters with specialisation in Technology with certification in AI and ML About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. Show more Show less

What Youll Do We are seeking a Solutions Engineer - Artificial Intelligence (AI) Practitioner to join our dynamic sales team. As an SE (AI Practitioner), you will consult and drive the adoption of our AI solutions across various industries. You will identify potential clients, understand their specific needs, and provide tailored AI solutions that enhance their business operations. This role requires a deep understanding of AI technologies, real world deployment experience and expert capability to relay business and technical concepts to a diverse audience. Who Youll Work With The Cloud and AI Infrastructure team is responsible for helping customers change their business using Cisco technology in the data center and on cloud. The team works with customers, partners and engineering teams to take customer problems and turn them into business advantage. Who You Are Youre energized by the fast-paced landscape in IT and how AI is changing the world. You love technology and thrive in solving complex problems. You are an amazing presenter and can translate complex technical scenarios into a simple easy to understand message. You inspire those around to use technology in innovative ways and use a hands-on methods to demonstrate your ideas. Minimum Qualifications : 10+ years of technology consulting experience (preferably in systems, software, data, analytics and AI). Good understanding of programming/scripting languages Ability to provide detailed and consumable documentation and standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise, and AI/ML solutions. Be able to develop and showcase real world examples of how AI technology can help businesses thrive and solve problems. Excellent presentation skills ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics. Preferred Qualifications : Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree in Data Science is a plus. Experience with AI relevant infrastructure, including Networking (InfiniBand and RoCE), Storage (FC, IP and scale out) and AI accelerators (GPUs etc). In-depth understanding of AI models, including but not limited to GPT, Llama, Resnet or similar. Experienced with data storage and management (SQL, NOSQL, Vector, BigQuery etc) and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Jupyter, NIMS and NVAIE etc). Expertise in training and fine-tuning AI models on premise or in cloud environments. Familiarity with containerization (k8 etc).