5480 Deep Learning Jobs - Page 16

In today's business environment, growth isn't just about building value-it's fundamental to long-term business survival. The key to sustaining organizations lies in adopting a new operating model that prioritizes the customer and leverages intelligence to deliver exceptional experiences across the enterprise swiftly and efficiently. As a professional in this role, you will play a crucial part in delivering breakthrough business outcomes for clients by utilizing talent, data, and intelligence to transform their operating models. You will be aligned with our Insights & Intelligence vertical, where you will contribute to generating insights using cutting-edge Artificial Intelligence (AI) and Analytics techniques to provide value to our clients. Your expertise will be instrumental in developing top-notch solutions, tackling business challenges, and addressing technical hurdles using AI Platforms and technologies. Additionally, you will leverage existing frameworks, standards, and patterns to establish an architectural foundation and services essential for scaling AI applications from multi-user to enterprise-class levels. Demonstrating your expertise, you will actively engage in activities such as blogging, publishing research papers, and raising awareness in this emerging field. Within the Data Science team, your responsibilities will involve managing and analyzing data to create data-driven business insights and impactful data models that drive substantial business value. This will encompass developing models and processes for collecting, distilling, and interpreting data to facilitate more informed decision-making, as well as exploring data from various sources to uncover insights that can offer a competitive advantage for our clients. In the realm of Data Visualization, you will utilize tools and techniques to craft visual representations of data, effectively communicating information through graphical elements that highlight patterns, trends, and correlations. We are seeking individuals with the following skillset: - Data Science - Data Visualization - Deep Learning - Problem-solving skills - Strong analytical skills - Numerical ability - Thought leadership Roles and Responsibilities: - Analyze and solve increasingly complex problems - Interact with peers within Navit on a daily basis - Engage with clients and/or Navit management occasionally - Receive minimal guidance on daily tasks and moderate instructions on new assignments - Offer and seek meaningful and actionable feedback consistently - Proactively identify opportunities to enhance value for stakeholders/clients - Make decisions that impact your work and potentially the work of others - Act as an individual contributor and/or supervise a small work effort or team Please note that this role may involve working in rotational shifts.,

As a Senior AI Researcher at PureCode Software, you will be a key member of our engineering team based in Hyderabad, India. You will play a crucial role in various software projects revolving around computer vision and AI/ML technologies. PureCode Software has developed a groundbreaking developer tool that leverages Computer Vision and Artificial Intelligence to transform software design images into functional ReactJS code efficiently. Our product has received a significant investment of $2 million USD from a prestigious Silicon Valley venture capitalist, indicating our potential for growth and innovation. Your responsibilities will include conducting research to address challenges in zero-shot code generation for webUI design/screenshot images, exploring cutting-edge large language and multimodal models, and staying updated with developments in deep learning and computer vision. Additionally, you will curate annotated data, execute various Computer Vision tasks, and enhance existing models or develop new algorithms to automate web development processes effectively. The ideal candidate for this role should have at least 5 years of experience in Computer Vision and Machine Learning, with expertise in model compression and inference optimization. Proficiency in linear algebra, optimization theory, and probability theory is essential, along with familiarity with Transformers, generative Diffusion models, and deep learning frameworks such as Keras, Tensorflow, Caffe, and Pytorch. You should possess strong coding skills in C/C++ and Python, enabling you to research, prototype, and implement algorithms for web applications. Preferred qualifications include a Master's or PhD in Computer Science with a focus on computer vision/deep learning or equivalent industrial research experience. Previous experience with shipped products and knowledge of web development tools are advantageous. In return for your contributions, PureCode Software offers a competitive salary and benefits package, a culture dedicated to talent development with biannual promotion cycles and company-sponsored certifications, exposure to cutting-edge technologies, the opportunity to earn company stock options, as well as various insurance coverage including health check-ups, group term life insurance, personal accident insurance, and mediclaim hospitalization insurance for self, spouse, children, and parents. If you are passionate about AI research and web development automation, we invite you to apply for the Senior AI Researcher position at PureCode Software by sending your resume to njalla@purecodesoftware.com or applying through our website.,

You should have strong programming experience in Python and hands-on expertise with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc. Additionally, experience with data engineering including SQL, data pipelines, ETL, APIs, and big data tools is preferred. Knowledge of MLOps tools like Docker, Kubernetes, MLflow, Airflow, and CI/CD for ML is required. Experience with cloud platforms like AWS, Azure, GCP and deploying scalable ML solutions is a plus. You should have a solid understanding of machine learning algorithms, deep learning, NLP, or computer vision depending on project needs. Strong problem-solving skills are essential, with the ability to convert business challenges into technical AI/ML solutions. For Lead/Architect roles, proven ability in team leadership, solution design, stakeholder management, and driving technical strategy is required.,

You will be working as a Data Scientist at FSL, utilizing your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, and Generative AI to create innovative data-driven solutions and applications. Your primary responsibilities will involve designing and deploying dynamic models and applications using modern web frameworks like Flask and FastAPI for efficient deployment and ongoing monitoring. Your key responsibilities will include designing and implementing advanced ML and DL models, developing web applications for real-time data processing and user interaction, performing exploratory data analysis to identify patterns and trends, creating data processing pipelines, employing Generative AI techniques, collaborating with cross-functional teams to integrate AI capabilities into products, staying updated with the latest AI technologies, and effectively communicating complex quantitative analysis to senior management and other departments. To qualify for this position, you should have a BE or Masters or PhD in Computer Science, Data Science, Statistics, or a related field, along with at least 3 years of experience in a data science role focusing on ML, DL, and statistical modeling. Strong coding skills in Python, experience with Flask or FastAPI, proficiency in ML and DL frameworks (e.g., PyTorch, TensorFlow), CV (e.g., OpenCV), and NLP libraries (e.g., NLTK, spaCy) are required. Experience with generative models like GANs, VAEs, or Transformers, deployment skills in Docker, Kubernetes, CI/CD pipelines, and strong analytical and communication skills are also essential. Certifications in Data Science, ML, or AI from recognized institutions will be an added advantage. This role is available in multiple locations including Hyderabad, Mumbai, Bangalore, and Chennai.,

We are seeking a highly motivated and skilled AI Trainer to join our team and help shape the next generation of AI models, focusing on Generative AI , Machine Learning (ML) , and Deep Learning (DL) . As an AI Trainer, you will play a pivotal role in developing, fine-tuning, and optimizing cutting-edge AI systems to meet specific use cases. You will collaborate with researchers, engineers, and product teams to ensure our AI models are robust, ethical, and deliver exceptional performance. Key Responsibilities Training and Fine-Tuning Models Design, train, and fine-tune Generative AI models (e.g., GPT, DALL-E, Stable Diffusion) for specific tasks and domains. Develop and optimize ML/DL algorithms to improve model accuracy, scalability, and efficiency. Utilize transfer learning, reinforcement learning, and other advanced techniques to enhance AI capabilities. Data Management Curate, preprocess, and annotate large datasets for training and evaluation. Identify and mitigate data biases and ensure diversity in training datasets. Implement data augmentation techniques to improve model robustness. Model Evaluation and Testing Conduct rigorous testing and benchmarking of AI models to ensure quality, fairness, and accuracy. Develop evaluation metrics and frameworks for assessing model performance. Debug and troubleshoot models to resolve performance issues. Collaboration and Research Partner with cross-functional teams, including data scientists, engineers, and product managers, to align AI solutions with business goals. Stay up-to-date with the latest research in AI, ML, and DL, and apply innovative techniques to projects. Present findings, insights, and recommendations to stakeholders. Ethics and Compliance Ensure AI models adhere to ethical standards and comply with relevant regulations. Identify and address risks such as model bias, hallucination, and misuse. Documentation and Knowledge Sharing Document workflows, experiments, and results for reproducibility and transparency. Conduct training sessions and workshops to upskill team members on AI/ML/DL topics. Required Qualifications Education: Bachelors or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Ph.D. is a plus. Experience: 3+ years of hands-on experience in AI/ML/DL model development and training. Proven expertise in training and fine-tuning Generative AI models like GPT, BERT, or similar. Experience with large-scale datasets and distributed computing. Technical Skills: Proficiency in programming languages such as Python (e.g., TensorFlow, PyTorch, Hugging Face, NumPy). Strong understanding of ML/DL algorithms, neural networks, and optimization techniques . Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and MLOps tools. Familiarity with NLP, computer vision, and reinforcement learning is a plus. Preferred Qualifications Experience with Generative AI deployment in real-world applications. Understanding of ethical AI principles and techniques to mitigate biases. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Why Join Us? Work on cutting-edge AI technologies with a talented and passionate team. Collaborative, innovative, and growth-focused work environment. Opportunities for professional development and upskilling. Competitive compensation and benefits package. How to Apply: If you are excited about advancing the field of AI and working on impactful projects, we encourage you to apply. Please send your resume, portfolio, and a brief cover letter to Preferred candidate profile

As a Capabilities & Insights Analyst at McKinsey, you will be a part of the Panorama Financial Institutions and Insights Consulting (PFIC) team, focusing on designing and implementing scalable AI-driven solutions for the Banking & Insurance Practice. Your role will be based in Gurgaon, collaborating with a diverse global network of professionals spread across 25+ countries. Your primary responsibilities will include conducting primary and secondary research within PFIC to identify opportunities for AI-driven solutions, contributing to the development of proprietary assets and knowledge. You will collaborate with project managers, business experts, software engineers, and data scientists to deliver Gen AI projects aimed at addressing complex challenges in the Banking & Insurance sector. Working cross-functionally, you will design and implement impactful, reliable, and reusable Generative AI solutions at scale. Your role will involve partnering with internal stakeholders and CST teams to translate business needs into technical solutions, ensuring alignment with strategic objectives. Additionally, you will focus on building scalable applications and infrastructure within PFIC teams, emphasizing robustness, modularity, and reproducibility in the context of Generative AI. Your contributions will be pivotal in driving innovation and transformation within the Banking & Insurance industry, unlocking new opportunities for efficiency, customer engagement, and risk management through the application of Generative AI. By enabling internal teams to deliver advanced AI-driven solutions, you will play a key role in supporting the growth and success of clients. To excel in this role, you are expected to possess a Bachelor's or advanced degree in Computer Science, Engineering, Finance, or a related field. Ideally, you should have 2 - 4 years of experience in a techno-functional role within sectors such as Banking, Insurance, Financial Services, or Technology. Proficiency in programming languages, particularly Python, along with experience in developing and scaling Generative AI agents, will be essential. Moreover, familiarity with deep learning, Gen AI frameworks, HTML/Front end design, and API integration is preferred. Knowledge of cloud platforms like AWS, Azure, or Google Cloud, as well as DevOps practices, will be advantageous. Strong problem-solving, analytical, and quantitative skills are crucial, along with an entrepreneurial mindset, professional attitude, and service orientation. Excellent written and verbal communication skills are also necessary, enabling you to effectively communicate technical concepts to non-technical stakeholders, thereby contributing to the success of AI-driven initiatives within the PFIC team at McKinsey.,

Job Description Chief Data Scientist / Head of Data Science & Analytics Location: India (flexible Bangalore/Mangalore/Remote) Experience: 20+ years in R&D, Data Science, and Technology Leadership About the Role We are seeking a visionary Chief Data Scientist / Head of Data Science & Analytics to lead our data-driven transformation initiatives. The ideal candidate will bring a unique blend of deep technical expertise, business acumen, and leadership experience across engineering, AI/ML, and enterprise analytics. This leader will be responsible for building and scaling data science capabilities, driving innovation in predictive & prescriptive analytics, and engaging with C-suite stakeholders to deliver measurable business outcomes. Key Responsibilities Leadership & Strategy Define and execute the organizations data science and AI strategy in alignment with business objectives. Lead cross-functional global teams of data scientists, data engineers, and analysts. Build and scale Centers of Excellence (CoEs) in supply chain analytics, AI/ML, and digital transformation. Business & Consulting Engage with C-level executives to shape analytics roadmaps, secure business opportunities, and drive adoption of AI-led solutions. Provide go-to-market consulting and develop data-driven business models to support growth. Drive multimillion-dollar analytics initiatives, ensuring ROI and measurable business impact. Technical Expertise Oversee development and deployment of predictive and prescriptive models for supply chain optimization, reliability engineering, and enterprise systems. Guide teams in designing scalable data platforms, dashboards, and visualization solutions for decision-making. Leverage expertise in big data analytics, machine learning, and optimization techniques to solve complex business challenges. Innovation & R&D Drive innovation in AI/ML, reliability engineering, and advanced optimization for next-gen solutions. Collaborate with academia and industry partners to explore emerging technologies, including Generative AI applications . Contribute to intellectual property, research publications, and technology patents where applicable. Ph.D. or Masters degree in Engineering, Data Science, Computer Science, Applied Mathematics, or related field. 20+ years of experience spanning engineering R&D, reliability, supply chain analytics, and data science. Proven track record in building and leading data science organizations , driving digital transformation, and securing large-scale business deals. Hands-on expertise in statistical modeling, predictive analytics, optimization techniques, and big data platforms . Strong background in hardware reliability engineering, system diagnostics, and product innovation (preferred for cross-domain leadership). Certifications in AI/ML, Generative AI, or Data Science (Coursera, LinkedIn, etc.) are a plus. Required Qualifications Ph.D. or Masters degree in Engineering, Data Science, Computer Science, Applied Mathematics, or related field. 20+ years of experience spanning engineering R&D, reliability, supply chain analytics, and data science. Proven track record in building and leading data science organizations , driving digital transformation, and securing large-scale business deals. Hands-on expertise in statistical modeling, predictive analytics, optimization techniques, and big data platforms . Strong background in hardware reliability engineering, system diagnostics, and product innovation (preferred for cross-domain leadership). Certifications in AI/ML, Generative AI, or Data Science (Coursera, LinkedIn, etc.) are a plus. Skills & Competencies Strategic Leadership ability to align AI/analytics initiatives with business priorities. Enterprise Consulting – experience engaging with global clients at VP & C-suite levels. People Leadership – team building, mentorship, and global workforce management. Technical Expertise – ML/AI, data engineering, visualization (Tableau, R/Shiny), optimization, reliability engineering. Entrepreneurial Mindset – experience in startup ecosystem and consulting leadership.

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We are seeking a skilled Technology Senior Manager with extensive experience in the Asset Management and Banking sectors. The ideal candidate will possess hands-on experience in technology program management, building scalable architectures, product management, data engineering skills, along with a strong understanding of AI techniques. This role requires a techno-functional expert who can effectively collaborate with finance executives and technology partners to develop scalable solutions that address business challenges. Key Responsibilities: - A skilled Engineering Senior Manager with more than 12 years of work experience who can effectively collaborate with finance executives and technology partners to develop scalable solutions that address the mission, purpose, and objectives of an organization. - Familiarity with regulatory reporting and financial reporting processes in Asset Management and Banking sectors. - Communicate effectively with finance executives and technology partners to align on project goals and deliverables. - Utilize expertise in Python, Databricks, Spark, and PySpark to build and optimize data processing workflows. - Hands-on experience on databases including Oracle, SQL Server, and MongoDB, ensuring data integrity and performance. - Apply knowledge of AI techniques, including Microsoft Azure Doc Intelligence, Deep Learning, and Generative AI Techniques, to enhance product development. - Leverage hands-on experience with Agentic AI frameworks such as Langchain and Langraphs to create intelligent applications. - Lead initiatives in regulatory reporting (N-PORT, CPO PQR, BHC, AIFMD, TIC, and BE Reports) and financial reporting enabling accuracy in reviewing financial statements. - Identify automation opportunities and develop solutions that add value to the organization. - Foster a collaborative team environment, demonstrating leadership skills and a commitment to working as one team. - Navigate ambiguity with a positive attitude, striving for excellence and implementing best practices. - Understand user problems, empathize with their needs, and provide innovative solutions to enhance user experience. - Utilize hands-on experience with Microsoft Azure services, including Azure Functions, Azure Blob Storage, Azure DevOps Services, and Azure Pipelines, to develop and deploy cloud-based solutions. - Understand and apply Azure cloud service models, including SaaS, PaaS, and IaaS, to meet organizational needs. - A proactive attitude towards problem-solving and a desire to add value in product development. EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

You are a Machine Learning & Generative AI Engineer responsible for designing, building, and deploying advanced ML and GenAI solutions. This role presents an exciting opportunity to work on cutting-edge AI systems, such as LLM fine-tuning, Transformer architectures, and RAG pipelines, while also contributing to traditional ML model development for decision-making and automation. With a minimum of 3 years of experience in Machine Learning, Deep Learning, and AI model development, you are expected to demonstrate a strong proficiency in Python, PyTorch, TensorFlow, Scikit-Learn, and MLflow. Your expertise should encompass Transformer architectures (such as BERT, GPT, T5, LLaMA, Falcon) and attention mechanisms. Additionally, experience with Generative AI, including LLM fine-tuning, instruction tuning, and prompt optimization is crucial. You should be familiar with RAG (Retrieval-Augmented Generation) embeddings, vector databases (FAISS, Pinecone, Weaviate, Chroma), and retrieval workflows. A solid foundation in statistics, probability, and optimization techniques is essential for this role. You should have experience working with cloud ML platforms like Azure ML / Azure OpenAI, AWS SageMaker / Bedrock, or GCP Vertex AI. Familiarity with Big Data & Data Engineering tools like Spark, Hadoop, Databricks, and SQL/NoSQL databases is required. Proficiency in CI/CD, MLOps, and automation pipelines (such as Airflow, Kubeflow, MLflow) is expected, along with hands-on experience with Docker and Kubernetes for scalable ML/LLM deployment. It would be advantageous if you have experience in NLP & Computer Vision areas, including Transformers, BERT/GPT models, YOLO, and OpenCV. Exposure to vector search & embeddings for enterprise-scale GenAI solutions, multimodal AI, Edge AI / federated learning, RLHF (Reinforcement Learning with Human Feedback) for LLMs, real-time ML applications, and low-latency model serving is considered a plus. Your responsibilities will include designing, building, and deploying end-to-end ML pipelines covering data preprocessing, feature engineering, model training, and deployment. You will develop and optimize LLM-based solutions for enterprise use cases, leveraging Transformer architectures. Implementing RAG pipelines using embeddings and vector databases to integrate domain-specific knowledge into LLMs will also be part of your role. Fine-tuning LLMs on custom datasets for domain-specific tasks and ensuring scalable deployment of ML & LLM models on cloud environments are critical responsibilities. Collaborating with cross-functional teams comprising data scientists, domain experts, and software engineers to deliver AI-driven business impact is expected from you.,

As a Senior AI Scientist at SAP, you will have the opportunity to work directly with customers on challenging business problems. Your role will involve applying advanced machine learning and data science techniques to develop rapid prototypes, deliver business value, and push the boundaries of what's possible with AI. You will work across customer projects, product development, and research initiatives to make a real-world impact from day one. Working under the guidance of expert data scientists, you will be responsible for delivering prototype and production-grade AI solutions for strategic business problems. In addition, you will provide direction and mentorship to junior staff to ensure the timely delivery of robust solutions. Your responsibilities will include translating complex business problems into mathematical or computational models, designing, implementing, and optimizing machine learning algorithms and data mining workflows, collaborating directly with customers to understand business needs and deliver proof-of-concept AI solutions, as well as designing and implementing novel machine learning algorithms to support internal teams. To excel in this role, you should hold a Masters degree or PhD in Computer Science, Applied Mathematics, Statistics, Engineering, or a related field, along with 5+ years of experience for Data Scientist and 9+ years of experience as a Senior Data Scientist in machine learning, data science, or AI research. Strong technical skills in machine learning, deep learning, data mining, and optimization are essential, along with proficiency in Python and machine learning libraries such as PyTorch, TensorFlow, and scikit-learn. Experience working with real-world datasets, data preprocessing, model deployment, and familiarity with cloud environments like AWS, Azure, and GCP are also required. Your core competencies should include the ability to translate abstract business challenges into concrete AI solutions, strong analytical, problem-solving, and mathematical modeling skills, curiosity and initiative in exploring new AI techniques and applications, and the ability to write production-grade Python code. Excellent communication and collaboration skills, especially in customer-facing environments, and a commitment to ethical and explainable AI practices are crucial for success in this role. Joining the Intelligence Team within Application AI at SAP will provide you with exposure to diverse problem domains and opportunities to collaborate with customers, product managers, and full-stack engineers in a globally distributed team. As a member of this team, you will contribute to advanced R&D and AI application development for SAP Business Suite Finance & Spend, working towards the company's suite-first, AI-first promise. At SAP, we believe in fostering a culture of innovation where new ideas are encouraged and valued. With a highly collaborative team ethic and a commitment to personal development, we are dedicated to helping our employees bring out their best and create a better world through the power of technology. SAP is committed to equality, inclusion, and providing a supportive work environment that enables every individual to reach their full potential. Regardless of background, everyone is welcome at SAP, and we believe that our strength lies in the unique capabilities and qualities that each person brings to our company. If you are interested in joining a purpose-driven and future-focused organization with a strong emphasis on inclusivity, health, and well-being, consider applying to SAP and be a part of our collaborative team dedicated to unleashing all talent and making a positive impact on the world.,

You have a fantastic opportunity to join Netweb Technologies as an AI Engineer, where you will be at the forefront of designing, developing, and implementing artificial intelligence solutions. Your role will involve leading AI initiatives, working closely with cross-functional teams, and ensuring the successful delivery of projects aligned with business objectives. In this position, you will be responsible for developing and executing AI strategies and roadmaps, identifying opportunities for AI-driven innovation, and leading a team of AI engineers and data scientists in implementing AI solutions. Your expertise will be crucial in architecting scalable AI systems, evaluating and selecting appropriate AI technologies, and overseeing the end-to-end development lifecycle of AI projects. Key responsibilities include collaborating with various teams to integrate AI solutions, optimizing machine learning models and algorithms, ensuring data quality and security, and driving experimentation with new AI techniques and technologies. You will also stay updated with the latest advancements in AI research and effectively communicate technical concepts and project outcomes to non-technical stakeholders. To be successful in this role, you should hold a Bachelor's or Master's degree in computer science, engineering, or a related field, along with strong knowledge of Linux and programming skills in languages like Python, C, or C++. Experience with AI frameworks such as TensorFlow, PyTorch, or Scikit-Learn is essential. Additionally, you should possess a solid understanding of data science concepts, statistical analysis, and data visualization, as well as excellent leadership, communication, and problem-solving abilities. If you are ready to take on this exciting opportunity and contribute to cutting-edge AI solutions at Netweb Technologies, we encourage you to apply and be part of a dynamic and innovative team.,

The role of Senior Manager - GenAI Architect at EY involves leading and designing advanced AI architectures to drive strategic business outcomes. It necessitates a profound understanding of data management, application development, AI technologies, cloud solutions, and user interface design. Working closely with cross-functional teams, the individual is responsible for delivering robust and scalable solutions aligning with business objectives. Key Responsibilities: - Architectural Design: Develop and oversee data architectures and application frameworks supporting AI initiatives, ensuring integration with existing systems. - AI Solutions: Design and implement AI-driven models using machine learning, natural language processing, and other AI technologies to solve complex business problems. - Cloud Integration: Architect cloud-based solutions for scalability, security, and performance of AI applications, collaborating with cloud providers and internal teams. - User Interface Design: Collaborate with UI/UX teams to ensure user-friendly interfaces and exceptional user experiences for AI solutions. - Leadership & Collaboration: Lead a team of architects and engineers, providing guidance and support for AI solution development and aligning technical strategies with business goals. - Strategic Planning: Develop and implement architectural strategies and roadmaps aligning with the company's vision and technological advancements. - Go-To-Market Strategy (GTM): Collaborate with onsite teams and senior architects to define and execute go-to-market strategies for AI solutions, aligning with client needs. - Innovation & Best Practices: Stay updated on industry trends and emerging technologies to drive innovation and implement best practices in AI architecture and implementation. Qualifications: - Education: Bachelors or Masters degree in Computer Science, Engineering, Data Science, Mathematics, or related field. - Experience: Minimum of 14+ years in a senior architectural role focusing on AI, data management, application development, and cloud technologies. Technical Skills: - Hands-on experience deploying AI/ML solutions on Azure, AWS, and/or Google Cloud. - Proficiency in orchestrating LLM models on cloud platforms like OpenAI @ Azure/AWS Bedrock/ GCP Vertex AI or Gemini AI. - Expertise in SQL, data modeling, microservice-based architecture for AI solutions, machine learning, deep learning, NLP, and GenAI. - Strong programming skills in Python and/or Pyspark, integrating authentication security measures within ML operations, and connecting AI capabilities to business value. - Experience in AI/ML solution deployment on Kubernetes, Web Apps, Databricks, or similar platforms, familiarity with MLOps concepts and tech stack. - Knowledge of Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CFT, etc. Leadership: Demonstrated ability to lead teams, manage complex projects, and collaborate effectively with stakeholders. Problem-Solving: Strong analytical and problem-solving skills to design innovative solutions for complex challenges. Communication: Excellent verbal and written communication skills to convey technical concepts to non-technical stakeholders.,

Job Description Generative AI Specialist About the Role We are seeking innovative, enthusiastic, and versatile AI professionals to join our global team as Generative AI Specialists . In this role, you will drive transformation across the ITeS/BPO industry , working on complex projects that blend strategic business insights with advanced data science techniques . By leveraging Generative AI and Conversational AI, you will help our business and clients unlock maximum value from data and transform day-to-day BPO operations. Key Responsibilities Research and develop cutting-edge AI methodologies and Generative AI techniques for applications across the BPO value chain. Collaborate with cross-functional and cross-organizational teams to design, implement, and scale AI/ML concepts . Lead AI/ML adoption initiatives across the company through training, awareness, and capability-building programs . Stay ahead of the latest advancements in data science, Generative AI and NLP , applying insights to solve real business challenges. Build and strengthen collaborations with industry and academic partners to drive innovation and leverage external expertise. Document methodologies, tools, and processes, and present findings and solutions to stakeholders across the organization. Required Skills & Qualifications 8+ years of experience with a strong focus on Generative AI solutions and their scalable applications (including RAG, AI Agents, Lang Graph or similar frameworks). Bachelors/Masters degree in Computer Science, Engineering, Mathematics, Physics , or a related field (or equivalent experience). Strong proficiency in Python , with hands-on experience in solution deployment and cloud platforms (AWS, Azure). Proven expertise in Generative AI, NLP, and advanced data science techniques , with the ability to translate complex business needs into AI-driven solutions. Excellent analytical, problem-solving, and presentation skills , with the ability to work effectively in global, multidisciplinary teams . Strong customer orientation, interpersonal skills, open-mindedness and a continuous learning mindset.

Responsibilities: * Design, develop & deploy AI solutions using NLP, ML & DL techniques. * Collaborate with cross-functional teams on project delivery. * Optimize AI models for performance & scalability.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Use Design thinking and a consultative approach to conceive cutting edge technology solutions for business problems, mining core Insights as a service model Engage with project activities across the Information lifecycle. Understanding client requirements, develop data analytics strategy and solution that meets client requirements Apply knowledge and explain the benefits to organizations adopting strategies relating to NextGen/ New age Data Capabilities Be proficient in evaluating new technologies and identifying practical business cases to develop enhanced business value and increase operating efficiency Architect large scale AI/ML products/systems impacting large scale clients across industry Own end to end solutioning and delivery of data analytics/transformation programs Mentor and inspire a team of data scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art solution Liaise with colleagues and business leaders across Domestic & Global Regions to deliver impactful analytics projects and drive innovation at scale Assist sales team in reviewing RFPs, Tender documents, and customer requirements Developing high-quality and impactful demonstrations, proof of concept pitches, solution documents, presentations, and other pre-sales assets Have in-depth business knowledge across a breath of functional areas across sectors such as CPRD/FS/MALS/Utilities/TMT Your Profile B.E. / B.Tech. + MBA (Systems / Data / Data Science/ Analytics / Finance) with a good academic background Minimum 10 years + on Job experience in data analytics with at least 7 years ofCPRD, FS, MALS, Utilities, TMT or other relevant domain experience required Specialization in data science, data engineering or advance analytics filed is strongly recommended Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision Good, applied statistics skills, such as distributions, statistical inference & testing, etc. Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc. At least 7 years experience deploying digital and data science solutions on large scale project is required At least 7 years experience leading / managing a data Science team is required Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive, What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Hello Candidate, Greetings from Hungry Bird IT Consulting Services Pvt Ltd. We are hiring Data Science Architect for our client. Job Title: Data Science Architect - Python & AI/ML Location: Hyderabad Type: Full-Time Job Summary: We are looking for a skilled and passionate Data Science Architect - Python & AI/ML to design and implement advanced AI systems using AWS technologies. You will work on cutting-edge solutions like Retrieval Augmented Generation (RAG), GraphRAG, and agentic AI systems, leveraging the latest in GenAI tools and techniques. Key Responsibilities: Design and develop complex Generative AI solutions using AWS services Implement RAG and GraphRAG architectures Build scalable AI systems with AWS Bedrock and SageMaker Develop agent-based AI systems with reasoning capabilities Use vector databases and advanced ML methods for custom AI solutions Stay updated and integrate emerging GenAI technologies Optimize AI/ML models and enhance performance Required Skills & Expertise: Generative AI: RAG and GraphRAG methodologies LoRA (Low-Rank Adaptation) Agentic AI design principles Prompt engineering AI model fine-tuning AWS & Cloud: AWS Bedrock and SageMaker Cloud-native AI architecture AWS AI/ML services Technical Skills: Python (advanced) Strong understanding of LLMs and ML architectures Experience with vector databases Frameworks & Tools: PyTorch, TensorFlow, Hugging Face LangChain, LlamaIndex Nice to Have: Experience in enterprise AI strategy development Performance tuning of GenAI systems (Interested candidates can share their CV with us at or reach us at aradhana@hungrybird.in .) PLEASE MENTION THE RELEVANT POSITION IN THE SUBJECT LINE OF THE EMAIL. Example: KRISHNA, HR MANAGER, 7 YEARS, 20 20DAYS NOTICE. Name: Position applying for: Total experience: Notice period: Current Salary: Expected Salary: Thanks and Regards Aradhana Sonkar +91 9959417171 aradhana@hungrybird.in

An AI Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Collaboration and Project ManagementCollaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders. Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.

Your Role Must have experience with Machine Learning Model Development Expert Level Proficiency in Data Handling (SQL) Hands-on with Model Engineering and Improvement Strong experience in Model Deployment and Productionlization Your Profile 5-14 years of experience in developing and implementing machine learning, Deep Learning, NLP models across various domains. Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost and Keras. Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation. Strong expertise in deploying machine learning models to production systems. What you will love about working here We recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programmes in the latest technologies such as AIML, Machine Learning

Execute end-to-end Data Science projects including data collection, preprocessing, feature engineering, modelling, evaluation, and deployment. Design and implement advanced Machine Learning algorithms (classification, regression, clustering, ensemble methods) and Natural Language Processing algorithms (Knowledge Graphs, Topic Modelling, Feature Extraction, Sentiment Analysis, BERT etc.) Develop and deploy Generative AI and LLM-based solutions using platforms like OpenAI, Hugging Face, and LLama. Apply Agentic AI frameworks such as LangChain, LangGraph, Crew AI, or Microsoft Semantic Kernel to build intelligent applications. Proficient in designing and deploying scalable machine learning solutions using cloud architectures, with hands-on experience in at least one major platform (Azure, AWS, GCP, or IBM Cloud). Skilled in leveraging Databricks, ML platforms, managed databases, web hosting services, and document AI tools for end-to-end solution development. Collaborate with business stakeholders to define problem statements, deliver insights, and drive impact. Maintain reproducibility and version control using Git, GitHub Effectively communicate technical concepts and project outcomes to both technical and non-technical stakeholders. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 10–12 years of hands-on experience in Data Science, Machine Learning, Deep Learning, and NLP in a production environment. 2+ years of applied experience in Generative AI and LLMs (e.g., OpenAI, LLama). Proficiency in agentic AI development using frameworks like LangChain, LangGraph, or similar. Strong programming skills in Python and experience with ML/DL libraries Experience deploying models via REST APIs or web applications. Proficient in SQL for data extraction, transformation, and analysis. Experience working with large datasets, feature engineering, and data preprocessing pipelines. Solid understanding of model evaluation, cross-validation, and performance metrics. Experience in MLOps, including model testing, deployment pipelines, governance frameworks, and continuous monitoring for reliable and compliant machine learning operations. Experience with cloud ML pipelines and services (proficiency in at least one of Azure, AWS, GCP & IBM Cloud). Strong interpersonal and client communication skills.

Your Role Experience with Natural Language Processing (NLP). Understanding of RAG, neural networks, and other AI/ML concepts. Experience with AI/ML frameworks like TensorFlow, PyTorch, etc. Experience with AI and Machine Learning algorithms. Your Profile 5 to 14 yrs of experience with Gen AI and Machine Learning algorithms. Experience with Natural Language Processing (NLP). Familiarity with AI platforms and understanding of their capabilities and limitations. Ability to design & implement AI models. What youll love about working here We recognize the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programmes in the latest technologies such as Gen AI

In your role, you may be responsible for Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

Scale an existing RAG code base for a production grade AI application RequirementsProficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Experience in python and pyspark will be added advantage Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Demonstrate a growth mindset to understand clients' business processes and challenges Preferred technical and professional experience Pyspark, SQL, Python About The Role Classical ML Model (either machine learning or deep learning) building experience with feature creation (not PoC experience)" Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Execute end-to-end Data Science projects including data collection, preprocessing, feature engineering, modelling, evaluation, and deployment. Design and implement advanced Machine Learning algorithms (classification, regression, clustering, ensemble methods) and Natural Language Processing algorithms (Knowledge Graphs, Topic Modelling, Feature Extraction, Sentiment Analysis, BERT etc.) Develop and deploy Generative AI and LLM-based solutions using platforms like OpenAI, Hugging Face, and LLama. Apply Agentic AI frameworks such as LangChain, LangGraph, Crew AI, or Microsoft Semantic Kernel to build intelligent applications. Proficient in designing and deploying scalable machine learning solutions using cloud architectures, with hands-on experience in at least one major platform (Azure, AWS, GCP, or IBM Cloud). Skilled in leveraging Databricks, ML platforms, managed databases, web hosting services, and document AI tools for end-to-end solution development. Collaborate with business stakeholders to define problem statements, deliver insights, and drive impact. Maintain reproducibility and version control using Git, GitHub Effectively communicate technical concepts and project outcomes to both technical and non-technical stakeholders. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 7–9 years of hands-on experience in Data Science, Machine Learning, Deep Learning, and NLP in a production environment. 2+ years of applied experience in Generative AI and LLMs (e.g., OpenAI, LLama). Proficiency in agentic AI development using frameworks like LangChain, LangGraph, or similar. Strong programming skills in Python and experience with ML/DL libraries Experience deploying models via REST APIs or web applications. Proficient in SQL for data extraction, transformation, and analysis. Experience working with large datasets, feature engineering, and data preprocessing pipelines. Solid understanding of model evaluation, cross-validation, and performance metrics. Experience in MLOps, including model testing, deployment pipelines, governance frameworks, and continuous monitoring for reliable and compliant machine learning operations. Experience with cloud ML pipelines and services (proficiency in at least one of Azure, AWS, GCP & IBM Cloud). Strong interpersonal and client communication skills.

Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

Develop and maintain project management methodologies, standards, and tools, including templates, guidelines, and process documentation Provide project management training, coaching, and support to project managers and teams Collaborate with project managers and other stakeholders to define project objectives, scope, and deliverables, and establish project schedules and budgets Own the Projects from conception to conclusion Partner with multifunctional diverse teams across clients and IBM to bring the project to deliver the outcome Monitor project progress and provide timely reports on project status, risks, and issues to stakeholders and management using data visualization tools like Power BI and Tableau Identify and escalate risks and issues to management as necessary Facilitate the resolution of project-related conflicts and issues Conduct project post-mortem reviews and capture lessons learned to continuously improve project management methodologies and standards Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor's degree in Business, IT, Engineering or related field Strong project management skills, with 3+ years of experience in a project management role Experience in developing and implementing project management methodologies, tools, and standards Strong communication, collaboration and facilitation skills, with the ability to work effectively with cross-functional teams and stakeholders Strong analytical and problem-solving skills, with the ability to quickly identify and mitigate risks and issues Excellent time management and organizational skills, with the ability to manage multiple projects simultaneously Preferred technical and professional experience Negotiation skills and manoeuvrability Experience with data visualization tools like Power BI, Tableau, or similar tools Certification in project management (PMP, PRINCE2, or similar) is preferred.