41 Aiml Models Jobs

Role Overview: You will be joining the Developer Enablement team within the CTO organization with a focus on revolutionizing how policies, standards, and controls are managed through an "everything-as-code" initiative. Your main responsibility will be to design, develop, and test software applications using Large Language Models and AI capabilities, ensuring high-quality software with exceptional user experiences. Key Responsibilities: - Design, develop, and test software applications leveraging Large Language Models and AI capabilities - Collaborate closely with team members to deliver software on time and within budget - Set standards for excellence in software development and user experiences - Stay updated on software development trends and AI/ML technologies - Ensure software platforms comply with security and Software Development Life Cycle processes - Drive adoption of everything-as-code and codified controls mindset across the organization - Develop robust prompt engineering strategies and AI workflow automation - Integrate and optimize Large Language Model capabilities in production applications Qualifications Required: - Proven experience as a Full-Stack Software Engineer in product-focused teams - Strong experience in delivering production code, preferably in Python, Go, and TypeScript - Experience in agile software development environments - Demonstrated experience with distributed systems, event-driven architectures, microservices, SQL and NoSQL databases, DevSecOps practices Additional Company Details: The team works extensively with Generative AI technologies, such as GPT-4 and Gemini, integrating their capabilities into systems through advanced prompt engineering and API integration. The tech stack includes Python, Go, TypeScript, React, Kubernetes, MongoDB, and Generative AI integrations, requiring adaptability and commitment to continuous learning. You will be encouraged to drive cultural change by fostering a culture of continuous improvement and critical thinking about controls and processes. (Note: Additional details about the company were not explicitly mentioned in the provided job description.),

Role Overview: You will be joining the YouTube Creator Success team, where you will play a crucial role in architecting the conversational abilities of the AI agent. Your work will directly impact the support strategy for millions of creators and partners globally, ensuring they have easy access to comprehensive support. By translating complex support journeys into clear AI blueprints and leading the experimentation process, you will contribute to a thriving creator experience and ecosystem. Key Responsibilities: - Establish and govern a standardized framework, including evaluation sets, golden conversations, and workflow patterns to guide vertical PSMs in translating Support User Journeys (SUJs) into clear engineering requirements for the agent. - Own the validation cycle for all new capabilities, overseeing prompt tuning, managing SUJ exit criteria, and activating vertical PSMs to certify journey-specific quality before launch. - Manage support communications for critical AI model changes, experiments, and product issues impacting support teams. - Support launch readiness for new AI capabilities and empower support teams with documentation, training, and product knowledge. - Act as the bridge between creator support teams and Product, collecting product feedback and insights on conversational performance and prompt effectiveness to ensure creator needs are represented, quantified, and prioritized for Product Managers and Engineers. Qualifications Required: - Bachelor's degree or equivalent practical experience. - 5 years of experience in product management, program management, consulting, or a client-facing role on a technical product. - 4 years of experience in conversational AI design, prompt engineering, or designing evaluation sets for AI/ML models. Company Additional Details: At YouTube, the belief is that everyone deserves to have a voice, and that the world is a better place when people listen, share, and build community through stories. The team works together to give everyone the power to share their story, explore what they love, and connect with one another. Operating at the intersection of cutting-edge technology and boundless creativity, the team moves at the speed of culture with a shared goal to show people the world. New ideas are explored, real problems are solved, and fun is had - all done together.,

We are looking for an innovative RPA Solution Architect with expertise in UiPath and cloud-native automation to lead the design and deployment of enterprise-scale RPA solutions. As a strategic technologist, you will not only develop but also architect end-to-end automation frameworks, integrate advanced cloud capabilities, and drive transformational efficiency gains. In this role, you will lead the design and architecture of RPA solutions, ensuring scalability and maintainability. You will design reusable frameworks, best practices, and governance models for RPA implementations. Collaborating with stakeholders, you will understand business requirements and translate them into robust RPA solutions. Providing technical leadership throughout the development lifecycle, you will ensure adherence to best practices. You will integrate RPA with enterprise cloud environments, leveraging expertise in VDIs, Virtual Machines, and Kubernetes. Additionally, you will document solution architecture and technical designs, conduct technical presentations, workshops, and knowledge sharing sessions for internal and external stakeholders, and implement attended & unattended automation with Citrix/legacy system automation. You will also diagnose and resolve performance bottlenecks, exceptions, and deployment issues, optimize bot efficiency, resource utilization, and exception handling, and propose alternate solutions in case of RPA feasibility or implementation challenges. Working closely with the Product team, you will provide feedback to improve processes. To be successful in this role, you should have at least 8-10 years of experience in RPA with proven Solution Architecture responsibilities. Expertise in UiPath platform architecture and ecosystem is mandatory. Hands-on practical knowledge of cloud infrastructure (e.g., Azure, AWS), virtualization concepts, VDIs, Virtual Machines, and Kubernetes (good to have) orchestration is required. A clear track record of architecting and delivering large-scale RPA solutions is essential. Excellent communication, stakeholder management, and presentation skills are necessary to confidently articulate and sell technical concepts to both business and technical audiences. Knowledge of OCR tools (ABBYY, Google Vision, Azure Form Recognizer), AI/ML models & GenAI, and API implementation is a plus. Strong problem-solving abilities and attention to detail are also important. Preferable qualifications include certifications in UiPath, AWS/Azure/GCP, or Kubernetes, experience with other RPA tools (Blue Prism, Automation Anywhere, Power Automate), experience in regulated industries (BFSI, Healthcare, etc.), and familiarity with DevOps practices and RPA security best practices. This position is based in Bengaluru.,

As a skilled Python AIML Developer with expertise in Django, you will be responsible for developing AI/ML models, integrating them with web applications, and deploying scalable solutions. Your role will involve collaborating with cross-functional teams to design, develop, and implement AI-driven applications. Your key responsibilities will include developing, training, testing, and optimizing AI/ML models for real-world applications such as classification, regression, and natural language processing (NLP). You will integrate machine learning models into Django-based web applications and design APIs for model interaction using Django REST Framework (DRF). Additionally, you will work with libraries like TensorFlow, PyTorch, Scikit-learn, HuggingFace, ElasticSearch, Textract, or similar for AI/ML development, optimize model performance, and manage databases to store AI-related data. Furthermore, you will be deploying machine learning models using technologies like Docker, Kubernetes, Azure, or cloud platforms (AWS, GCP, or Azure), performing unit testing and debugging, leading a team of engineers, and providing technical leadership/mentorship. Collaboration with front-end developers, data engineers, and product managers to create seamless AI-driven applications is also a part of your responsibilities. It is crucial to stay updated with the latest AI/ML advancements and integrate them into projects. To excel in this role, you should be proficient in AI/ML development libraries like TensorFlow, Pytorch, Scikit-Learn, HuggingFace, or ElasticSearch, Textract, and similar libraries. You must have an understanding of NLP, Computer Vision, Deep Learning, and Predictive Analysis, along with hands-on experience with SQL and NoSQL databases. Knowledge about Docker, Kubernetes, CI/CD pipeline logic, Azure, and cloud services is essential, along with a minimum of 3 years of experience in AI technologies. Strong communication skills are also required for effective collaboration with team members.,

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. We are counting on your unique voice and perspective to help EY become even better. Join us in building an exceptional experience for yourself and contribute to creating a better working world for all. As an AI/ML Developer in Technology Assurance at EY, you will have the opportunity to contribute technically to Risk Assurance client engagements and internal projects. Your role will involve assisting Seniors & Managers, actively participating in client engagement, anticipating and identifying risks, and ensuring that work is of high quality and reviewed thoroughly. By joining our team, you will help create a positive learning culture, assist fellow team members, and deliver assignments effectively. We are seeking professionals with a minimum of 2 years of experience to be part of a cross-functional team responsible for the full software development life cycle. This role offers a great opportunity to work with a leading firm and play a key role in the growth of a new service offering. Key Skills and Accountabilities: - Develop robust AI/ML models to drive insights and enhance decision-making processes across various business lines. - Use predictive modeling to optimize customer experiences, revenue generation, ad targeting, and other business outcomes. - Proficiency in Machine learning, NLP, LLM, GenAI, deep learning, and generative AI techniques. - Apply advanced machine learning techniques to solve complex problems. - Design and implement innovative solutions for workflow orchestration using Python, Airflow, and Terraform. - Collaborate with cross-functional teams to assess control effectiveness and facilitate remediation activities. To qualify for this role, you must have: - Minimum 2 years of experience working with Large Scale AI/ML models. - Technical knowledge of Big Data Platforms, AI technologies, and DevOps services. - Proficiency in AI/ML programming languages such as Python, R, SQL. - Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. - Implement monitoring and logging tools to ensure AI model performance. - Automation skills using Python scripting, databases, and advanced technologies. Preferred Qualifications: - Bachelor's Degree or higher in relevant disciplines. - Relevant certifications are considered a plus. - Self-driven problem-solver who thrives in the fast-paced world of software development. Join EY in building a better working world, creating long-term value for clients, people, and society, and building trust in the capital markets. Our diverse teams in over 150 countries provide assurance and help clients grow, transform, and operate by asking better questions to find new answers for today's complex issues.,

As a Senior Technology Manager at our company based in Hyderabad, you will be responsible for overseeing simulation-based projects utilizing cutting-edge technologies such as Unreal Engine, NVIDIA Omniverse, and other 3D simulation tools. Your role will involve leading SaaS product development, deployment, and continuous improvement while effectively managing multiple cross-functional teams and bridging the gap between R&D, engineering, and business requirements. Your key responsibilities will include managing the development and deployment of simulation solutions for enterprise applications, leading teams in building high-fidelity real-time simulations using various 3D platforms, ensuring seamless integration of simulation solutions with AI/ML models and cloud-based services, defining technical roadmaps, optimizing performance, and managing scalability of simulation-based applications. Additionally, you will be responsible for driving the end-to-end lifecycle of SaaS products, collaborating with engineering teams to ensure scalable architectures and efficient DevOps practices, overseeing feature development and system performance improvements, and implementing AI-driven automation for product optimization. To excel in this role, you will need to have at least 12 years of experience in software development, simulation services, and SaaS product management, with a deep understanding of Unreal Engine, NVIDIA Omniverse, Unity, and cloud platforms. Strong communication skills, experience managing budgets and technical roadmaps, and the ability to balance technical constraints with business needs are essential for success in this position. Preferred qualifications include experience in digital twins, robotics, or industrial simulations, familiarity with AI/ML models for simulation, and exposure to gaming engines or interactive 3D environments. If you are a forward-thinking technology leader with a passion for innovation and a track record of delivering high-quality projects, we invite you to apply for this exciting opportunity to drive the future of simulation technologies and SaaS product development.,

Join Piatrika Biosystems as a Quantitative Geneticist and contribute to cutting-edge technology in next-generation plant breeding and field trial solutions. Your role will involve developing advanced analytics to drive data-driven decisions in our breeding programs. By applying quantitative and population genetics, genomics, and AI/ML models, you will accelerate genetic gain and optimize breeding strategies. Collaborating with multi-disciplinary teams, you will deliver precise, automated methodologies to enhance breeding processes and fast-track seed discovery. Your key responsibilities will include providing expertise in quantitative genetics, genomics, and plant breeding, implementing genomic prediction analysis, developing tools and protocols, building models for germplasm characterization and SNP analysis, integrating new technologies into existing analytics pipelines, collaborating with breeders, data scientists, and software engineers, assessing and improving analytics capabilities, and partnering with IT to design and deploy scalable analytics solutions. To excel in this role, you should have a Doctorate in Genetics, Plant Breeding, or related fields, a strong foundation in quantitative genetics, genomics, and statistical modeling, experience with large datasets using Perl, Linux, Unix; C/C++ knowledge is a plus, proficiency in R, Python, Julia, knowledge of genomic selection and GWAS, familiarity with AI/ML algorithms for predictive breeding, understanding of agile methodologies and software quality assurance, strong communication skills, and awareness of agricultural R&D trends. Critical experience required includes applying data science in R&D environments, effective collaboration in multi-disciplinary teams, scientific achievements (publications, patents, etc.), end-to-end modeling from development to deployment, and working with IT to build and support analytics applications. Personal attributes such as passion for innovation in plant breeding and genetics, strong problem-solving and analytical skills, results-oriented with a collaborative mindset, ability to simplify complex concepts, and focus on impactful outcomes, as well as adaptability and cross-functional collaboration are essential. By joining Piatrika Biosystems, you will have the opportunity to bridge the gap between scientific research and commercial breeding, utilize AI/ML and genomic analytics to accelerate seed discovery, work on transformative projects, co-develop breeding solutions, and impact global agriculture and sustainability goals. Apply now to be a part of the innovation at Piatrika Biosystems.,

As an AI-first, enterprise-grade health-tech company focused on transforming hospital operations, insurance claims automation, and financial intelligence, Eyther.AI's mission is to address inefficiencies in claims processing using AI, automation, and enterprise-level integrations. By developing a scalable, AI-powered platform, the company aims to establish a seamless ecosystem for hospitals and insurers in India. The ideal candidate Eyther.AI is seeking is a Technical Architect with a founders mindset and entrepreneurial energy. The candidate should have experience in building, scaling, and leading enterprise-grade AI-driven SaaS products, along with expertise in AI, RPA, integrations, and enterprise security. Eyther.AI is looking for a hands-on leader who is enthusiastic about scaling a high-performance system from the ground up. Key Responsibilities include defining and architecting a highly scalable, AI-driven enterprise system, building a modular, microservices-based platform to support AI-driven automation, RPA, and API-based integrations, leading the development of real-time AI-powered claims verification, fraud detection, and workflow automation, ensuring compliance with various regulations while maintaining uptime, and collaborating with engineering, AI, and product teams to shape the future of AI-powered healthcare operations. The ideal candidate should bring 15+ years of experience in enterprise architecture, large-scale SaaS systems, and AI-driven automation. They should have expertise in cloud-native architectures, microservices, high-performance computing, healthcare integrations compliance, and previous experience as a startup founder, CTO, or key technical leader. Additionally, experience in big data processing, AI/ML models, and intelligent automation workflows is preferred. Joining Eyther.AI offers the opportunity to shape the future of AI-driven healthcare automation, work on cutting-edge AI/ML-driven automation challenges at an enterprise scale, be part of India's next big health-tech revolution, and hold a high-impact, high-ownership role in a fast-growing startup.,

As the world moves towards AI-driven automation, Vindhya aims to integrate AI responsibly while staying true to its core values of human interaction and inclusive employment. This role is key to ensuring that AI is used as an enabler, enhancing efficiency without compromising our unique human-first approach. Vindhya is seeking a Digital Transformation Officer to drive the identification, adoption, integration, and optimization of AI-powered solutions across its business processes. This role will focus on why, where, and how AI should be leveraged to improve efficiency, enhance decision-making, and optimize customer experiences. The AI Implementation Officer will play a strategic role in aligning AI-driven transformation with Vindhya's operational goals while maintaining a strong emphasis on inclusivity and ethical AI practices. Key Responsibilities: - AI Strategy & Roadmap Development: - Conduct process mapping to identify areas where AI can enhance efficiency, reduce manual effort, or improve decision-making. - Develop an AI adoption roadmap aligned with Vindhya's business, impact, and growth objectives. - Stay updated on AI trends, automation tools, and industry best practices relevant to BPO, ITES, and BFSI sectors. - AI Solution Identification & Implementation: - Evaluate and recommend AI solutions such as RPA (UiPath, Automation Anywhere), NLP-based chatbots, voice analytics, AI-driven CRM solutions, and predictive analytics. - Lead the pilot implementation of AI in key areas such as customer interactions, data processing, sales, and quality assurance. - Collaborate with operations, IT, and client teams to integrate AI solutions into existing workflows. - Change Management & Stakeholder Engagement: - Conduct AI awareness workshops for leadership, operations, and support teams to build AI adoption capability. - Work closely with HR and training teams to upskill employees in AI-driven processes. - Develop AI governance frameworks to ensure compliance with ethical AI practices and data privacy regulations. - Performance Monitoring & Optimization: - Define key success metrics to track AI impact on cost, efficiency, and service quality. - Generate impact reports on AI implementation effectiveness, employee adaptability, and customer experience. - Continuously optimize AI solutions based on feedback, performance data, and operational insights. Key Qualifications & Skills: - Years of Experience: 5-8 years working knowledge in AI Technical Expertise: - Experience in AI/ML models, automation, NLP, voice analytics, process optimization. - Knowledge of AI tools such as RPA, chatbot platforms, AI-based analytics tools, and AI-powered CRM solutions. - Strong understanding of data-driven decision-making, AI ethics, and compliance frameworks. Business & Industry Knowledge: - Deep understanding of AI applications in customer service, sales, operations, and quality assurance. - Ability to bridge the gap between technology and business needs. Soft Skills & Execution Ability: - Strong problem-solving, analytical, and strategic thinking skills. - Excellent stakeholder management and change leadership. - Ability to effectively communicate AI benefits and limitations to non-technical teams. Why Join Vindhya - Pioneering Impact Sourcing: Work at the intersection of AI, social impact, and business process transformation. - Human-First AI Strategy: Lead AI-driven innovations without replacing the human touch that defines Vindhya. - Diverse & Inclusive Work Culture: Be part of a value-driven organization that embraces diversity and sustainability. - Growth & Innovation: Drive cutting-edge AI projects while working with industry leaders in BFSI and ITES.,

About Welspun Welspun World is one of India's fastest growing global conglomerates with businesses in Home Textiles, Flooring Solutions, Advanced Textiles, DI Pipes, Pig Iron, TMT bars, Stainless Steel, Alloy, Line Pipes, Infrastructure & Warehousing. At Welspun, we strongly believe in our purpose to delight customers through innovation and technology, achieve inclusive & sustainable growth to remain eminent in all our businesses. From Homes to Highways, Hi-tech to Heavy metals, We lead tomorrow together to create a smarter & more sustainable world. Job Purpose/ Summary As a Solution Architect at Welspun, you will be responsible for analyzing business requirements and translating them into analytics solutions. You will architect, design, and implement scalable data analytics solutions using Databricks and other Azure cloud services. Additionally, you will lead data engineering initiatives, develop and optimize data models, and ensure efficient deployment of machine learning models. Collaboration with cross-functional teams, mentoring junior team members, and driving data-driven decision-making are also key responsibilities of this role. Responsibilities - Analyze business requirements and translate them into analytics solutions. - Architect, design, and implement scalable data analytics solutions using Databricks and other Azure cloud services. - Lead data engineering initiatives, including data pipelines, data lakes, and data warehousing solutions. - Develop and optimize data models for analytical and operational use cases. - Implement and drive MLOps best practices for efficient deployment, monitoring, and management of machine learning models. - Collaborate with business stakeholders to understand data requirements and translate them into effective analytics solutions. - Enable data visualization and business intelligence using tools such as Power BI. - Ensure data security, compliance, and governance within Azure and associated technologies. - Provide technical leadership and mentorship to the data engineering and analytics teams. - Stay up to date with the latest advancements in data engineering, cloud analytics, and AI/ML technologies. - Drive data modeling efforts and ensure optimal database structures for analytics and reporting. - Collaborate with Data Science teams to integrate AI/ML/GenAI solutions into the data ecosystem. - Ensure data quality, integrity, and reliability throughout the data lifecycle. - Engage with cross-functional teams to understand business needs and communicate complex data insights to non-technical stakeholders. - Design cost-efficient data architectures and optimize cloud costs. - Identify opportunities for process improvements and implement best practices in data analytics. - Stay abreast of industry trends and advancements in data analytics. - Promote a culture of continuous learning and development within the team. Requirements - Bachelor's degree in Business Administration, Information Technology, Data Science, or a related field. Master's degree is a plus. - 10-14 years of experience in Data Engineering, Analytics, Visualization, AI/ML. - Hands-on expertise in Databricks and Microsoft Azure ecosystem. - Strong knowledge of MLOps frameworks and best practices. - Proficiency in Python, SQL, and Spark for data processing and analysis. - Deep understanding of data pipelines, ETL processes, and cloud-based data lake solutions. - Experience in developing and deploying AI/ML models. - Expertise in data governance, security, and compliance within cloud environments. - Experience with Power BI and other visualization tools. - Excellent communication and stakeholder management skills. - Domain experience in Manufacturing is preferred. - Strong analytical and problem-solving skills with attention to detail. Preferred Skills - Experience in the manufacturing industry. - Familiarity with machine learning and advanced analytics techniques. - Familiarity with Python for data analysis & automation is an advantage. Job Title SBAPL_Solution Architect,

NTT DATA is looking for an AI Data Scientist - Digital Engineering Sr. Engineer to join their team in Hyderabad, Telangana (IN-TG), India. As an AI Data Scientist, you will be focusing on Generative AI & LLMs. Your responsibilities will include designing and developing AI/ML models with a specific focus on LLMs such as GPT, LLaMA, Mistral, Falcon, and Claude. You will be applying prompt engineering, fine-tuning, and transfer learning techniques to tailor models for enterprise use cases. Additionally, you will work with vector databases and retrieval-augmented generation (RAG) pipelines for contextual response generation. Collaboration is key in this role, as you will be working closely with data engineers, AI Engineers, and MLOps teams to deploy models in production environments. If you are an exceptional, innovative, and passionate individual looking to be part of an inclusive, adaptable, and forward-thinking organization, apply now to join NTT DATA. NTT DATA is a trusted global innovator of business and technology services with a commitment to helping clients innovate, optimize, and transform for long-term success. With a presence in more than 50 countries, NTT DATA serves 75% of the Fortune Global 100 and has a diverse team of experts. The company offers services ranging from business and technology consulting to data and artificial intelligence solutions, industry-specific offerings, and the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is a leading provider of digital and AI infrastructure globally and is part of the NTT Group, which invests significantly in R&D to support organizations and society in confidently transitioning into the digital future. For more information, visit us at us.nttdata.com.,

This is a remote position for an AI Engineer with a duration of 6 months. As an AI Engineer, you will be working remotely and full-time according to the company timings. The ideal candidate should be an immediate joiner with 3-5 years of experience in the field. You will be responsible for working with AI/ML models, specifically with Automated Valuation Models (AVM) and deploying machine learning models in real-world scenarios. Proficiency in using LangChain for developing LLM-powered applications is required. Hands-on experience with data science tools such as Pandas, NumPy, Scikit-learn, XGBoost, LightGBM, and Jupyter is essential. A strong background in feature engineering and data intelligence extraction is necessary for this role. You should be comfortable handling structured, semi-structured, and unstructured data. Experience with integrating models into APIs and production environments using Python-based frameworks is also expected. The ideal candidate should have a diverse experience working with various sets of data in multiple projects and possess strong problem-solving skills. Requirements for this position include expertise in AI/ML models, proficiency in LangChain, hands-on experience with data science tools, strong feature engineering background, comfort with different types of data, and experience with integrating models into production environments using Python-based frameworks.,

You will be joining Axtria, a global provider of cloud software and data analytics dedicated to the life sciences industry. Your role will involve analyzing the in-patient journey and leveraging patient-level data to develop effective solutions for pharmaceutical clients. As an expert in Patient Analytics, you will lead a team and collaborate closely with stakeholders to ensure successful project delivery. Your responsibilities will include managing client relationships, defining algorithms, executing analyses, and delivering high-quality solutions and reports. Additionally, you will contribute to enhancing Axtria's tools and capabilities through Hackathons, solution design, and process automation. Effective communication with clients and onshore teams will be crucial for this role. To excel in this position, you should have 4-6 years of experience in the Pharmaceutical/Life Sciences Domain, with a focus on patient journey analytics. Proficiency in working with patient-level data from various sources such as APLD, EMR, and Prescription data is essential. Strong analytical, logical reasoning, and problem-solving skills are required, along with expertise in statistical modeling and data visualization tools. Preferred qualifications include a BE/B.Tech/B.Pharma/M.Pharma/M.Tech/MBA degree. Proficiency in R/Python/SQL and experience in building statistical models or AI/ML models using tools like PySpark, Keras, and TensorFlow will be advantageous. Strong project management, communication, and storytelling abilities are also key for success in this role. Your expertise in analyzing pharma real-world data and building statistical models using advanced tools will be highly valued in this position. Additional experience in AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow will give you a competitive edge. If you possess these skills and are passionate about making a positive impact in the healthcare industry, we encourage you to apply and be a part of our dynamic team at Axtria.,

NTT DATA is looking for an AI Data Scientist - Digital Engineering Sr. Engineer to join their team in Hyderabad, Telangana (IN-TG), India. As an AI Data Scientist, your primary focus will be on Generative AI & LLMs. You will be responsible for designing and developing AI/ML models, specifically concentrating on LLMs such as GPT, LLaMA, Mistral, Falcon, and Claude. Your role will involve applying engineering techniques like fine-tuning and transfer learning to customize models for enterprise use cases. Additionally, you will work with vector databases and retrieval-augmented generation (RAG) pipelines for contextual response generation. Collaboration is key in this role, as you will work closely with data engineers, AI Engineers, and MLOps teams to deploy models in production environments. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. They are committed to helping clients innovate, optimize, and transform for long-term success. With experts in over 50 countries and a robust partner ecosystem, NTT DATA provides a wide range of services including business and technology consulting, data and artificial intelligence, industry solutions, and the development, implementation, and management of applications, infrastructure, and connectivity. As one of the leading providers of digital and AI infrastructure globally, NTT DATA is part of the NTT Group, investing over $3.6 billion annually in R&D to support organizations and society in confidently transitioning into the digital future. If you are an exceptional, innovative, and passionate individual looking to be part of an inclusive and forward-thinking organization, apply now to join NTT DATA.,

As a Backend Developer in Bangalore, India with 6 to 13 years of experience, you will collaborate with the development team to build and maintain scalable, secure, and high-performing back-end systems for SaaS products. Your key responsibilities will include designing and implementing microservices architectures, integrating databases, and ensuring seamless operation of cloud-based systems. Your main tasks will involve designing, developing, and maintaining robust and scalable back-end solutions using modern frameworks and tools. You will create, manage, and optimize microservices architectures to ensure efficient communication between services. Additionally, you will develop and integrate RESTful APIs to support front-end and third-party systems. Furthermore, you will be responsible for designing and implementing database schemas, optimizing performance for both SQL and NoSQL databases. Supporting deployment processes by aligning back-end development with CI/CD pipeline requirements and implementing security best practices such as authentication, authorization, and data protection are also crucial aspects of the role. Collaborating with front-end developers to ensure seamless integration of back-end services, monitoring and enhancing application performance, scalability, and reliability, as well as staying up-to-date with emerging technologies and industry trends to improve back-end systems are important responsibilities. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, along with proven experience as a Back-End Developer. Expertise in modern frameworks such as Node.js, Express.js, or Django, proficiency in building and consuming RESTful APIs, and strong database design and management skills with both SQL and NoSQL databases are required. Hands-on experience with microservices architecture, containerization tools like Docker and Kubernetes, cloud platforms like Microsoft Azure, AWS, or Google Cloud, and security best practices are essential. Experience with CI/CD pipelines, Agile methodologies, time-series databases, monitoring solutions, real-time data processing frameworks, serverless architecture, business intelligence tools, API management platforms, AI/ML integration, MLOps pipelines, and iPaaS is a plus. Competencies and attributes that will set you up for success in this role include strong problem-solving and analytical skills, exceptional organizational skills, adaptability to evolving technologies, excellent collaboration and communication skills, and the ability to thrive in self-organizing teams with a focus on transparency and trust.,

About Northern Trust: Northern Trust is a globally recognized, award-winning financial institution that has been in continuous operation since 1889. With over 22,000 partners and more than 130 years of financial experience, Northern Trust takes pride in providing innovative financial services and guidance to the world's most successful individuals, families, and institutions while upholding enduring principles of service, expertise, and integrity. The Model Risk Management Group (MRMG) is a centralized function within the Bank that has experienced rapid growth in response to increasing global regulatory focus on model risk. We are currently seeking a Consultant, Risk Analytics to join our team. In this role, your primary responsibility will be to support the model validation function, acting as a lead contributor in identifying and diagnosing model-related risks across various aspects including input data, assumption, methodology, and outcomes analysis. Key Responsibilities: - Validate models primarily developed in Python or SAS, with a focus on challenging the conceptual soundness of machine learning models and ensuring the quality of input data. - Demonstrate advanced proficiency in financial models related to portfolio analysis, asset management, Value at Risk, Monte Carlo simulations, CAPM, and factors. - Exhibit a solid understanding of risks associated with AI/ML models, such as Fairness, Privacy, Transparency, and Explainability. - Engage in stress testing, CCAR, CECL, and other relevant areas. - Solve complex quantitative problems, analyze possible solutions, and develop a deep understanding of various algorithms and machine learning techniques. - Review and assess bank-wide quantitative models including those used for CECL, CCAR/DFAST stress testing, credit risk projections, operational risk, AML, and other machine learning models. - Ensure model development, monitoring, and validation approaches align with regulatory expectations and internal risk management needs. - Evaluate model specifications, assumptions, testing completeness, and performance metrics, while documenting observations and recommending remediation actions. - Maintain strong relationships with key stakeholders like model developers, owners, and users. Qualifications: - 6 to 8 years of modeling or quantitative analysis experience in a relevant discipline. - A degree in STEM field, mathematics, actuarial science, engineering, or statistics (Advanced degree preferred). - Strong interpersonal, verbal, and written communication skills. - Proficiency in Python, with experience in SAS and R desired. - Mastery of analytical tools like Excel, Word, and PowerPoint. - Deep understanding of linear and logistic regression, along with experience in Machine Learning models. - Familiarity with cloud and big data technologies is a plus. Joining Northern Trust offers a chance to be part of a flexible and collaborative work culture where innovation is encouraged, and career growth is supported. As a company committed to serving communities, Northern Trust values inclusivity and flexibility in the workplace. Apply today to explore opportunities with one of the world's most esteemed and sustainable companies. #MadeForGreater Northern Trust is dedicated to providing reasonable accommodations to individuals with disabilities. If you require accommodation during the employment process, please contact MyHRHelp@ntrs.com. We look forward to learning more about your interests and experiences and discussing how you can contribute to our team. Share your flexible working requirements with us, and together, we can achieve greater success.,

Job Summary: As part of our AI/ML , you will work closely with data scientists, engineers, and business stakeholders to design, develop, and deploy machine learning models and AI-powered solutions. You will use Dataiku to build robust, scalable, and automated data science workflows that drive business value. Your expertise in AI/ML techniques combined with your experience using Dataiku will be key to transforming data into actionable insights. Key Responsibilities: AI/ML Model Development & Deployment: Design, develop, and deploy machine learning models and AI solutions using Dataiku . Build end-to-end machine learning pipelines that automate data preparation, feature engineering, training, validation, and deployment of models. Leverage Dataikus AutoML capabilities to streamline model building while ensuring model performance. Work with stakeholders to identify and prioritize AI use cases that align with business objectives. Collaboration & Knowledge Sharing: Collaborate with cross-functional teams (data engineers, business analysts, product owners) to integrate machine learning solutions into business workflows. Share insights and knowledge on best practices in data science, machine learning, and the use of Dataiku . Create and maintain detailed documentation for models, pipelines, and workflows within Dataiku . Data Management & Feature Engineering: Work with large datasets, performing feature engineering and transformation to prepare data for machine learning tasks. Utilize Dataiku’s data wrangling capabilities to clean, transform, and organize data for efficient processing. Build reusable data processing workflows within Dataiku to automate recurring tasks and streamline model development. Model Monitoring & Optimization: Continuously monitor and fine-tune deployed models to ensure they deliver high-quality predictions and insights. Implement strategies for model versioning, testing, and monitoring performance over time. Ensure that models adhere to business requirements and ethical AI practices. Innovation & Research: Keep up with the latest trends and advancements in AI/ML techniques and tools. Explore new AI/ML algorithms and methodologies to improve model performance. Contribute to the ongoing evolution of Dataiku workflows to incorporate cutting-edge practices in AI/ML. Required Skills & Qualifications: Experience: 3+ years of experience in machine learning and data science, with a strong focus on deploying models at scale. Hands-on experience working with Dataiku for building, deploying, and automating ML workflows. Proven track record of end-to-end project delivery in AI/ML, including problem definition, model building, validation, and deployment. Technical Skills: Proficiency in Python , R , or similar programming languages used for AI/ML. Solid understanding of machine learning algorithms, statistical modeling, and model evaluation techniques. Experience with Dataiku and its features such as AutoML, visual recipes, and integration with various machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn). Familiarity with cloud environments (AWS, GCP, or Azure) for scalable model deployment. Knowledge of data preprocessing, feature engineering, and optimization techniques. Familiarity with model monitoring, model lifecycle management, and version control in data science projects.

The role of a Tech Lead - Gen AI involves leading full-stack architecture, incorporating generative AI technologies, managing teams, mentoring engineers, ensuring code quality, deploying on cloud platforms, and fostering continuous innovation across web and mobile solutions. Key Responsibilities: - Define, design, and implement full-stack architecture using Python for backend and modern frontend technologies like React and Angular. - Utilize AI/ML models, particularly generative models such as GPT and LLMs, to develop innovative and scalable solutions. - Lead a cross-functional team of developers and engineers, ensuring effective collaboration and timely delivery of high-quality software. - Mentor and guide junior and mid-level engineers in their technical growth and career development. - Collaborate closely with product managers, data scientists, and UI/UX teams to comprehend requirements and deliver comprehensive solutions. - Ensure coding best practices, code quality, and maintainability through regular code reviews and adherence to design patterns. - Deploy and manage scalable applications and AI models using cloud services like AWS, GCP, and Azure. - Stay updated with the latest trends in full-stack development, Python frameworks, and AI technologies to enhance the development process and product continuously. Requirements on First Day: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 7+ years of experience in Python backend development and full-stack web development. - Hands-on experience with Generative AI technologies such as GPT-3, GPT-4, transformers, and deep learning models. - Strong proficiency in web frameworks like Django, Flask, Fast API, and frontend technologies like React, Vue.js, and Angular. - Experience in deploying full-stack applications and AI models on cloud services like AWS, GCP, and Azure. - Demonstrated ability to lead technical teams and mentor engineers effectively. This position offers a challenging opportunity to drive technical strategy, leverage AI technologies, lead teams, and innovate continuously in the realm of web and mobile solutions.,

As a highly skilled and experienced Delivery Solution Architect specializing in Industrial IoT (IIoT), Cloud Data Platforms, and AI/Analytics, you will be responsible for leading the design and delivery of smart factory solutions within the Industry 4.0 framework. Your primary role will involve architecting scalable, secure, and intelligent solutions that seamlessly integrate operational technology (OT) with information technology (IT) to drive digital transformation initiatives for manufacturing clients. Your key responsibilities will include: - Designing end-to-end IIoT and cloud-based data analytics solutions for smart manufacturing environments. - Defining architecture blueprints that integrate edge devices, data ingestion pipelines, cloud platforms (Azure, AWS), Manufacturing analytics Data Model, and AI/ML models while ensuring alignment with enterprise architecture standards and security best practices. - Leading the technical delivery of Industry 4.0 projects from concept to deployment by collaborating with cross-functional teams and overseeing the implementation of data lakes, real-time analytics, predictive maintenance, and digital twin solutions. - Acting as a trusted advisor to clients, understanding their business challenges, conducting workshops, technical assessments, and roadmap planning sessions, and translating these insights into tailored technical solutions. - Supporting pre-sales activities by partnering with sales and business development teams, developing technical proposals, solution architectures, and effort estimations, and conducting discovery workshops and technical assessments to shape customized solutions for potential opportunities. - Keeping abreast of emerging technologies in IIoT, AI, and cloud ecosystems, and promoting reusable frameworks, reference architectures, and accelerators for faster delivery of innovative solutions. To be successful in this role, you should possess: - Over 10+ years of experience, including at least 3+ years as a Delivery Solution Architect specializing in IIoT, Cloud Data, and AI Analytics. - Excellent communication, documentation, and stakeholder management skills. - Proven experience with cloud platforms (Azure preferred, AWS a plus), industrial protocols (OPC UA, MQTT, Modbus), edge computing, sensor integration, data platforms (Azure Data Lake, Databricks, Snowflake), and AI/ML tools. - Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert, AWS Certified Solutions Architect, TOGAF, or equivalent enterprise architecture certification. - Familiarity with MES, SCADA, and ERP systems integration, agile and DevOps methodologies, and a strong business acumen with technical excellence and a collaborative mindset. Qualifications required for this role include a Bachelor's in Engineering, Master of Technology, or higher degree. This position is based in Pune. Join us in driving the future of smart manufacturing and digital transformation by leveraging your expertise in IIoT, Cloud Data Platforms, and AI/Analytics to architect cutting-edge solutions that redefine the Industry 4.0 landscape.,

As a highly skilled and experienced Senior Solution Architect specializing in RPA (Robotic Process Automation), Intelligent Document Processing (IDP), and integration with modern web and enterprise technologies, you will be responsible for designing end-to-end automation solutions using RPA tools (UiPath ecosystem) and IDP tools (ABBYY FC, ABBYY Vantage). You will architect scalable, secure, and maintainable automation solutions leveraging .NET technologies and Power Platform. Collaboration with business analysts, developers, and stakeholders to understand requirements and translate them into technical designs will be a key aspect of your role. In terms of technical leadership, you will mentor and guide development teams on best practices in coding, design, and architecture. Conducting code reviews and ensuring adherence to architectural standards will also be part of your responsibilities. You will oversee the integration of multiple technologies such as Python, PHP/MySQL, Laravel, AI/ML, and databases. Your role will involve leading the development of automation solutions involving various technologies like Windows Forms, Web Forms, MVC, Windows Components, Multithreading, and Socket Programming. Designing and developing APIs for seamless integration between systems, as well as implementing process automations using UiPath, will be key tasks. Additionally, you will design complex database schemas and queries, ensuring data normalization and denormalization as required for application performance and reporting. Integrating various technologies including JQuery, JavaScript, CSS, and web frameworks, and ensuring smooth connectivity between legacy and modern systems, will be part of your responsibilities. You will also implement AI/ML models as part of intelligent automation solutions and drive innovation by leveraging cognitive and machine learning capabilities for unstructured data processing. You will be required to prepare and present technical architecture documents, solution blueprints, and proposals, providing technical leadership during client workshops, pre-sales, and solution demonstrations. The ideal candidate should possess strong analytical, communication, and documentation skills, along with the ability to work independently and lead technical teams. Preferred qualifications include 8+ years of overall IT experience with a minimum of 3 years in solution architecture for RPA/IDP, experience in enterprise-grade automation and digital transformation projects, and experience integrating RPA with AI/ML services and modern web/cloud technologies. Certifications such as UiPath Advanced Developer or Solution Architect Certification, ABBYY Certified Specialist (FlexiCapture, Vantage), and Microsoft Power Platform Certification are preferred.,

As an AI/ML Engineer (Python Developer) at Cybernetyx, you will play a crucial role in the development of intelligent and adaptable AI agents. Your primary responsibility will be to design and develop sophisticated AI/ML models that can be utilized across various industries, ranging from automation and analytics to interactive systems. By leveraging your skills, you will contribute to the creation of systems that can learn, adapt, and effectively solve complex real-world problems, thereby shaping the future of AI and participating in groundbreaking innovations. Your tasks will involve working with diverse datasets to construct robust data pipelines and derive valuable insights that will drive the development of AI agents. Additionally, you will be responsible for deploying AI models into real-world applications, ensuring optimal performance, scalability, and reliability. Your role will also entail researching and implementing cutting-edge AI techniques, exploring new algorithms and methodologies to enhance the capabilities of the AI agents. Collaborating with a multidisciplinary team will be essential, as you share knowledge, foster innovation, and contribute to a dynamic development culture. To excel in this role, you should possess at least 3-4 years of experience in developing and deploying AI/ML models across various applications. Strong proficiency in Python and familiarity with key AI/ML libraries such as TensorFlow, PyTorch, and Scikit-learn are essential. Experience in working with diverse datasets and deploying models on cloud platforms like AWS, GCP, or Azure is highly beneficial. A genuine passion for constructing AI agents that tackle real-world challenges across different sectors, coupled with excellent problem-solving skills, a collaborative mindset, and a thirst for continuous learning, will make you a great fit for this position. Moreover, any prior experience in areas like Reinforcement Learning, Time Series Analysis, Large Language Models (LLMs), or Generative AI is preferred. Joining Cybernetyx will offer you the opportunity to make a cross-industry impact by contributing to the development of AI agents that revolutionize various domains. You will be part of a team that is at the forefront of AI advancement, engaging in cutting-edge innovation. The company is committed to your professional growth through challenging projects and upskilling opportunities, fostering a dynamic culture that thrives on collaboration and innovation. It is important to note that this position is based in Bangalore and requires on-site presence five days a week. Immediate joiners or candidates with a notice period of 15 days or less are preferred. Additionally, eligibility is restricted to male candidates as per internal team requirements. If you are enthusiastic about creating powerful and adaptable AI systems that have a significant impact across multiple industries, we encourage you to apply. Share your resume along with a brief cover letter highlighting your experience and passion for AI innovation. Let's work together to shape the future of intelligent systems.,

As an experienced AI/ML Architect, you will play a crucial role in leading the design, development, and deployment of cutting-edge Generative AI solutions. Your deep understanding of AI/ML architectures, technical leadership skills, and expertise in cloud platforms like GCP will be instrumental in designing robust, scalable, and production-ready systems. Collaborating closely with cross-functional teams and stakeholders, you will implement state-of-the-art AI solutions that address real-world challenges and drive business value. Your responsibilities will include providing technical leadership by guiding development teams through best practices and architecture reviews. You will design end-to-end Generative AI solutions, develop data pipelines, train models, deploy solutions, and monitor them in real-time. Leveraging MLOps tools, you will automate workflows for scalable and repeatable deployments. Your role will also involve optimizing deployment pipelines using tools like Docker, Kubernetes, and cloud-native services, ensuring seamless integration into existing CI/CD pipelines. In addition, you will focus on building scalable ETL workflows, implementing data preprocessing, and feature engineering pipelines to prepare data for Generative AI applications. Identifying and implementing optimization strategies for model performance enhancement will be a key aspect of your work. You will also drive the development of Proof of Concepts (POCs) and pilot projects, collaborating with delivery and product teams to scale successful pilots to production-grade solutions. To excel in this role, you should have at least 10 years of experience in AI/ML architecture, model development, and production deployment. Your expertise in designing, implementing, and scaling Generative AI and LLM-based solutions, along with hands-on experience with frameworks like LangChain and RAG, will be invaluable. Proficiency in Python, SQL, MLOps tools, containerization, and CI/CD pipelines is essential. Your strong technical leadership, communication skills, and strategic thinking abilities will be crucial in driving the adoption of Generative AI solutions and enabling continuous improvement. Joining our team will provide you with the opportunity to work on cutting-edge AI solutions, collaborate with a technology-driven team, and drive innovation through technical leadership and mentorship. You will have access to the latest AI/ML technologies and frameworks, ensuring continuous professional growth in this dynamic field.,

The Senior Associate-Data & ML Engineering will be responsible for validating and testing AI/ML models to ensure their accuracy and reliability. Working from the office during day shifts, you will need a deep understanding of AI/ML validation and testing processes to enhance data-driven solutions effectively. You will lead the validation and testing of AI/ML models, ensuring they meet quality standards and performance benchmarks. Collaborating with data scientists and engineers, you will oversee the implementation of AI/ML concepts to enhance model accuracy and efficiency. Developing comprehensive test plans and strategies, you will analyze test results to optimize AI/ML models continually. Your responsibilities will include providing technical expertise in AI/ML validation and testing, collaborating with cross-functional teams, and driving innovation in AI/ML testing processes. Additionally, you will ensure compliance with industry standards, document testing procedures, and communicate outcomes effectively to stakeholders. To excel in this role, you should possess a strong understanding of AI/ML concepts, expertise in validation and testing methodologies, and proficiency in AI/ML testing tools and frameworks. A background in data engineering and machine learning principles, along with problem-solving skills and attention to detail, will be essential. Keeping abreast of industry trends and advancements in AI/ML is also crucial. Certifications Required: Certified Machine Learning Specialist AI/ML Testing Certification,

NTT DATA is looking for a talented and passionate individual to join as a Salesforce Data Cloud Specialist in Hyderabad, Telangana, India. As a Salesforce Data Cloud Specialist, you will be responsible for managing and optimizing customer data platforms within Salesforce ecosystems. You will work closely with stakeholders to ensure seamless integration and orchestration of data, aligning data models with business requirements to provide actionable insights. Key Responsibilities: - Implement and configure Salesforce Data Cloud to effectively unify and segment customer data. - Design and manage data models that seamlessly integrate with Salesforce platforms, ensuring high-quality data ingestion and transformation. - Collaborate with stakeholders to understand business requirements and translate them into technical solutions. - Build and manage data pipelines to aggregate and cleanse data from multiple sources. - Develop rules for data normalization, identity resolution, and deduplication. - Maintain data compliance, security, and privacy standards. - Collaborate with marketing, sales, and analytics teams to leverage Data Cloud capabilities for improved customer engagement and personalization. - Troubleshoot and optimize Data Cloud performance to ensure timely issue resolution. Required Skills and Qualifications: - Hands-on experience with Salesforce Data Cloud (formerly known as Customer Data Platform). - Proficiency in data modeling, ETL processes, and data integration within Salesforce ecosystems. - Knowledge of Salesforce CRM, Marketing Cloud, and related modules. - Experience with API integrations and data connectors. - Familiarity with identity resolution and customer segmentation techniques. - Strong understanding of data governance, privacy, and compliance requirements. - Analytical mindset with the ability to derive actionable insights from data. - Excellent communication and collaboration skills. Preferred Skills: - Salesforce certifications such as Salesforce Certified Data Cloud Specialist or related certifications. - Hands-on experience with SQL, Python, or other data manipulation tools. - Familiarity with AI/ML models for predictive analytics in customer data. Educational Qualifications: - Bachelors or Masters degree in Computer Science, Information Systems, or a related field. If you are looking to be part of a dynamic and innovative organization, apply now to join NTT DATA and contribute to our mission of helping clients innovate, optimize, and transform for long-term success.,

The role requires strategic thinking and technical expertise with a strong background in financial crime detection and prevention, particularly using advanced analytical methodologies. You will be responsible for designing, developing, and deploying analytics/models to detect suspicious activities and financial crime. The ideal candidate will possess technical expertise, a strategic mindset for enhancing Transaction Monitoring effectiveness, and a good familiarity with compliance regulations in the financial sector. You will be expected to design, develop, and deploy models for anomaly detection, behavior profiling, network analysis, and predictive scoring for Transaction Monitoring Solutions. Additionally, you will act as a single Point of Contact for assigned AML Transaction Monitoring Modeling related matters. Your responsibilities will include data exploration, feature engineering, and ensuring that models are accurate, efficient, and scalable. Furthermore, you will support analytical processes to enhance Transaction Monitoring red flag monitoring and optimize cases for investigation through AI/ML models and analytical processes. You will also work on improving processes such as threshold tuning, reconciliation, segmentation, and optimization associated with the Transaction Monitoring function across various products. As the role holder, you will be accountable for ensuring that all processes/models follow the Bank's governance process, including Model Risk Policy Governance and Risk-Based Rule review. Key Responsibilities: - Conceptualize, design, support, and align relevant processes and controls to industry best practices, and address any compliance gaps. - Mentor and conduct training programs to bring new joiners and the team up to speed on new business requirements. - Provide endorsement for changes or remediation activities impacting AML Optimization models and engage with relevant stakeholders for deploying the changes to production. - Work on processes such as threshold tuning, reconciliation, segmentation, and optimization associated with the Transaction Monitoring function across various products. - Work towards the collective objectives and scorecard of the business function published periodically in the form of job and performance objectives. Skills and Experience: - Provide coaching to peers and new hires to ensure they are highly engaged and performing to their potential. - Promote and embed a culture of openness, trust, and risk awareness, where ethical, legal, regulatory, and policy-compliant conduct is the norm. - Apply Group and FCC policies and processes to manage risks effectively. - Engage with Business/Segment stakeholders to understand emerging risks and ensure they are suitably addressed through Monitoring coverage. - Attend relevant business/segment/product-related working group meetings and ensure tracking and remediation of surveillance and investigations related regulatory findings. Qualifications: - 8+ years of hands-on experience in Transaction Monitoring design and development, with at least 5 years focused on financial crime threat risk mitigation. - Strong background in deploying models within TM or compliance environment with a solid understanding of AML/CFT regulations. - Strong coding skills in Python, R, SQL, and familiarity with data engineering practices for model integration.,