12 Aiml Techniques Jobs

Whether you are at the start of your career or looking to discover your next adventure, your story begins here. At Citi, you will have the opportunity to expand your skills and make a difference at one of the world's most global banks. Citi is fully committed to supporting your growth and development from the start with extensive on-the-job training, exposure to senior leaders, and traditional learning opportunities. You will also have the chance to give back and make a positive impact where we live and work through volunteerism. As the Director of Internal Audit Analytics Center of Excellence at Citi in Bangalore, India, you will be part of a global team responsible for independent assessments of Citis control environment, risk management, and governance for key stakeholders. The Internal Audit function at Citi comprises over 2,500 professionals providing assurance across all of Citis businesses. Your role as Director will involve overseeing technical analytics and automation activities across Internal Audit through leadership of the offshore analytics team. You will collaborate with the onshore Analytics and Automation team to establish the appropriate support model for the Internal Audit plan and leadership requirements. This includes managing and maintaining existing analytics solutions, developing new items as required, and sourcing and managing underlying data resources as part of the wider strategic data sourcing process. Your objective will be to contribute to the continuous iterative expansion of the usage and depth of analytics work in support of Internal Audit strategic objectives. You will build and oversee the offshore analytics team, manage activities across the audit analytics and automation lifecycle, and identify strategic opportunities to enhance abilities including the integration of AI/ML techniques in alignment with Citi policies and procedures. Key Responsibilities: - Develop and implement strategies and goals for the team, including management of people, budget, and planning - Define strategic opportunities to enhance analytics capabilities and integrate AI/ML techniques - Manage and maintain the overall analytics solutions inventory and ensure governance activities are followed - Apply a broad understanding in multiple functional areas including audit industry knowledge, technology, and underlying business principles - Assess risk when making business decisions and drive compliance with applicable laws and regulations - Contribute to defining and implementing standard methodologies for the group Qualifications: - 15+ years of experience, including 8-10+ years of managerial experience - Expertise in developing and driving the usage of analytics across businesses, functions, and teams - Strong knowledge of the audit lifecycle and utilization of analytical tools and techniques - Experience in financial services or related functions with a controls-oriented mindset - Excellent communication and leadership skills to coordinate program delivery across multiple stakeholder groups Education: - Bachelors/University degree required, Masters degree preferred This job description provides a high-level review of the work performed. Working at Citi is more than just a job; it's a career with opportunities for growth, community engagement, and making a real impact. Take the next step in your career and apply for this role at Citi today.,

The Centre for Intelligent Power, situated at Eaton India's Innovation Centre in Pune and Eaton's global headquarters in Dublin, is dedicated to applying data science to revolutionize all facets of the company. As the Lead Data Scientist, you will collaborate with Eaton's product groups to innovate new data-science based product features, primarily focusing on emergent use cases in the industrial and energy sectors. Your responsibilities will include analyzing requirements, researching, and developing Machine Learning techniques, ensuring the production and monitoring of features, while considering system constraints related to resource-constrained platforms. You will work closely with Eaton business units to identify opportunities to leverage data science for enhancing future product features. Leading the research and development of complex problem statements on diverse datasets using cutting-edge data science techniques will be a key aspect of your role. This will involve designing and developing algorithms and datasets while accounting for system constraints and platform requirements. In addition to managing project roadmaps, estimating timelines and resources, you will proactively address technical challenges throughout the project lifecycle. Effective documentation and communication of solutions through various mediums will be crucial. Your role will require independent project leadership, breaking down projects into technical requirements, and collaborating with cross-functional teams such as Data Engineers, DevOps, MLOps, QA, and UI/UX teams to ensure successful project execution. Furthermore, you will mentor and guide team members in utilizing data science tools, techniques, and best practices. Staying abreast of the latest advancements in data science methodologies, tools, and technologies, safeguarding intellectual property, and contributing to patent filings, IP creation, disclosures, and white paper publications will also be part of your responsibilities. **Qualifications:** - Masters degree or higher in Electrical, Mechanical, Electronics, Telecommunications, or related numerate degree - 9+ years of experience in applying data science to real-world problems - PhD in relevant domain with 8+ years of experience **Skills:** - Extensive practical experience in developing algorithms using AI/ML techniques - Proficiency in Python programming and adherence to coding best practices - Agile development methodologies - Strong verbal and written communication skills - Stakeholder management and academic literature engagement - Research-oriented mindset and literature search ability **Desired Skills:** - Proficiency with GenAI tools - Knowledge of big data technologies and cloud-based platforms - Experience with large datasets and statistical model development - Track record of writing disclosures, patents, or white paper publications - Effective technical communication in virtual and global teams - Curiosity, problem-solving skills, and a team player mindset,

As a Fabrication Automation Specialist at Siemens Gamesa, your primary responsibility will be to collaborate closely with Fabrication specialists to optimize manual processes and transition them into efficient, automated systems. Your daily tasks will involve comprehending existing workflows and utilizing Excel to streamline operations. Progressively, you'll implement AI/ML techniques to enhance speed and accuracy. Additionally, you will liaise with the FEA and Design teams for valuable insights and guidance, all within a structured 8-hour workday, five days a week. Your success in this role will be driven by your transparent communication and unwavering commitment to understanding tasks thoroughly. Your impactful contributions in this role will include transforming the Fabrication review process into a swift 2-hour operation, developing a systematic methodology for fabrication review, collaborating with FEA and Design teams for insights, incorporating AI/ML techniques to boost process efficiency, conducting self-analysis using student version software, and providing clear feedback on task comprehension. To excel in this position, you are expected to bring 4+2 years of academic experience along with a fresh problem-solving perspective. Your assets will include guidance from professors, access to student version software, and relevant university papers. A keen interest in process automation and innovative solutions, coupled with robust communication skills to engage with diverse teams effectively, is essential. Your commitment to following instructions meticulously and offering transparent input will play a pivotal role in your success. Joining the dynamic Design team at Siemens Gamesa, which focuses on Offshore Equipment for Wind turbines, you will contribute to innovating and enhancing the efficiency of wind energy solutions. Your involvement in this collaborative environment will directly impact the future of sustainable energy, aligning with Siemens Gamesa's commitment to driving the energy transition and delivering innovative solutions to meet global energy demands. Siemens Gamesa, a part of Siemens Energy, boasts a rich legacy of innovation spanning over 150 years, dedicated to making sustainable, reliable, and affordable energy a reality. Embracing diversity as a driving force, Siemens Gamesa values inclusion and creative energy derived from multiple nationalities, irrespective of backgrounds, gender, age, religion, identity, or disability. The company's mission is to energize society by celebrating unique characteristics and fostering an environment free of discrimination. As a Fabrication Automation Specialist at Siemens Gamesa, you will not only gain valuable engineering experience on a global scale but also have access to global field experts in offshore Wind turbines, enabling you to contribute towards the energy transformation and shape a sustainable future.,

You will be working as a Machine Learning Engineer in an in-office setting in Hyderabad. Your primary focus will be on utilizing AI/ML techniques, specifically in computer vision applications. Your responsibilities will include designing, building, and fine-tuning machine learning models for tasks like object detection, segmentation, and image classification. As a Machine Learning Engineer, you will leverage pre-trained models and implement fine-tuning to customize them for specific use cases. It will be crucial for you to optimize model performance by incorporating cutting-edge techniques in transfer learning, regularization, and hyperparameter tuning. Collaboration with data scientists, engineers, and product teams is essential to deliver AI solutions that align with business requirements. Your role will involve developing scalable solutions and deployment pipelines to operationalize machine learning models effectively. You will need to prioritize model efficiency, ensuring high speed and low latency in production environments. Staying updated on the latest trends and technologies in AI, machine learning, and computer vision will be key in enhancing existing solutions. Additionally, you will conduct thorough evaluations of models using relevant metrics and implement strategies for performance enhancement. Troubleshooting and resolving model-related issues in production environments will also be part of your responsibilities. To qualify for this role, you should hold a Bachelor's, Master's, or PhD in Computer Science and possess at least 3 years of experience in machine learning or deep learning, focusing on computer vision. Expertise in model fine-tuning, transfer learning, and working with pre-trained models like ResNet, VGG, and EfficientNet is required. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, or Keras, along with a deep understanding of deep learning architectures, is essential. Familiarity with vision-specific tasks, data preprocessing, augmentation, and labeling techniques for vision tasks, as well as proficiency in programming languages like Python, C++, or similar, are necessary. A strong grasp of model evaluation techniques and metrics for computer vision tasks and experience with cloud platforms and containerization technologies will be advantageous.,

At Broadridge, the culture is centered around empowering individuals to achieve more. If you are enthusiastic about advancing your career while also supporting others in their journey, we invite you to be a part of the Broadridge team. As a prospective candidate, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, or a related field (a Ph.D. is considered a plus) along with a demonstrated track record of at least 4 years in developing IT solutions. Proficiency in Python, ReactJS, and associated technologies is a mandatory requirement. Additionally, you should have a comprehensive understanding of full stack development and architecture patterns, experience in RESTful API development and integration, and the ability to develop base frameworks, reusable programs, and define standards. Knowledge of cloud platforms such as AWS, containerization technologies, object-oriented programming principles, and design patterns is essential. Proficiency in database design, SQL, and NoSQL databases like Redis and DynamoDB is expected. An understanding of Agile methodologies, particularly working in Scrum/SAFE practices, is beneficial. Familiarity with front-end technologies like HTML, CSS, and JavaScript is a positive attribute. Exposure to AI/ML techniques and methodologies is advantageous. Moreover, you should be well-versed in software development best practices, including version control (Git) and continuous integration (CI/CD) processes. Strong problem-solving and debugging skills are crucial, along with effective communication skills and the ability to collaborate with cross-functional teams. At Broadridge, the Connected Workplace model enables associates worldwide to leverage the benefits of both on-site and off-site work, depending on their role responsibilities. This model, grounded in the principles of FACS Flexible, Accountable, Connected, and Supported, emphasizes the well-being of associates, facilitating a balance between work and personal life. Dedicated to fostering a diverse, equitable, and inclusive environment, Broadridge is committed to providing a workplace where associates can be authentic and perform at their best. A safe, understanding, and valued work environment is essential to empower associates, and Broadridge actively works towards creating a community that embraces diversity in all its facets.,

You will be responsible for identifying, extracting, and analyzing data to uncover trends and patterns that facilitate strategic decision-making for business growth. Additionally, you will prepare reports, present findings, and develop a data-driven ecosystem to enhance data accessibility and utilization in daily business operations. Your role will involve identifying process improvement opportunities, designing experiments, testing hypotheses, and scaling successful strategies. Collaborating with business teams to align on strategies, objectives, and success metrics will be crucial, along with providing data-driven recommendations and implementing actionable insights. You will also be involved in developing predictive and prescriptive models to assess the impact of business decisions across fulfillment, sourcing, and marketing, evaluating their effects on customers. To excel in this role, you should have 3-4 years of experience in Business Analysis, Analytics, Business Intelligence, or a similar field. Proficiency in MS Excel, Google Sheets, SQL, and Python is essential. Familiarity with tools like Metabase, MoEngage, Clarity, Google Console, and Looker Studio is preferred. You should also have experience in applying statistical modeling to solve complex problems, as well as a solid foundation in AI/ML techniques such as Regression, Random Forest, and Boosting techniques. Your ability to design and execute analytical projects effectively, solve problems with attention to detail, multitask efficiently, and take ownership of projects will be crucial. Hands-on experience in managing diverse and complex data sources, coupled with excellent communication, leadership, and presentation skills, will help you succeed in this role.,

As a Senior Python Developer at Nirvana Solutions, you will have the opportunity to work on building and scaling our AI-driven Copilot platform. With over 6 years of experience in Python development, you will play a key role in designing, developing, and implementing modern AI techniques to enhance our investment management solutions. Your responsibilities will include building scalable Python applications, refining agentic flows and memory structures, and integrating with internal/external APIs. Collaboration with product managers, UX designers, and engineering teams will be essential in translating requirements into technical designs. You will also provide technical mentoring, conduct code reviews, and ensure code quality through automated testing and CI/CD processes. Monitoring system performance, identifying bottlenecks, and proposing improvements will be part of your role, along with staying updated on AI/ML advancements for integration into our architecture. The ideal candidate will have a strong expertise in Python and related libraries, experience with backend API frameworks like FastAPI, and hands-on experience with designing agentic or conversational AI architectures. Proficiency in RDBMS and NoSQL databases, cloud services, and containerization is required. Knowledge of modern AI/ML techniques, multi-tenant architectures, and secure API integrations is a must. Nice to have qualifications include exposure to investment management domain, experience with multi-modal/agentic systems frameworks, and familiarity with Kafka-based event-driven architectures. At Nirvana Solutions, you will have the opportunity to work in a test environment to enhance your skills, become a subject matter expert, and take product ownership for fast-paced growth. You will be exposed to the finance domain and have the chance to work directly with top leadership while implementing new technologies to delight clients. Join our close-knit competitive team environment at Nirvana Solutions in Gurugram, with a hybrid work model, industry-standard salary, and various employee benefits. Take advantage of the latest software engineering practices, friendly culture, and opportunities for personal and professional growth. Work in a dynamic environment where your contributions are recognized and valued.,

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Candidates with 8+ years of hands-on experience are invited to join our team as we embark on a journey to drive innovation and change through data-driven solutions. Responsibilities: - Lead and manage a team of software engineers in developing, implementing, and maintaining advanced software solutions for GenAI projects. - Engage with senior leadership and cross-functional teams to gather business requirements, identify opportunities for technological enhancements, and ensure alignment with organizational goals. - Design and implement sophisticated event-driven architectures to support real-time data processing and analysis. - Oversee the use of containerization technologies such as Kubernetes to promote efficient deployment and scalability of software applications. - Supervise the development and management of extensive data lakes, ensuring effective storage and handling of large volumes of structured and unstructured data. - Champion the use of Python as the primary programming language, setting high standards for software development within the team. - Facilitate close collaboration between software engineers, data scientists, data engineers, and DevOps teams to ensure seamless integration and deployment of GenAI models. - Maintain a cutting-edge knowledge base in GenAI technologies to drive innovation and enhance software engineering processes continually. - Translate complex business needs into robust technical solutions, contributing to strategic decision-making processes. - Establish and document software engineering processes, methodologies, and best practices, promoting a culture of excellence. - Ensure continuous professional development of the team by maintaining and acquiring new solution architecture certificates and adhering to industry best practices.,

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Candidates with 8+ years of hands-on experience are preferred for this role. Lead and manage a team of software engineers in developing, implementing, and maintaining advanced software solutions for GenAI projects. Engage with senior leadership and cross-functional teams to gather business requirements, identify opportunities for technological enhancements, and ensure alignment with organizational goals. Design and implement sophisticated event-driven architectures to support real-time data processing and analysis. Oversee the use of containerization technologies such as Kubernetes to promote efficient deployment and scalability of software applications. Supervise the development and management of extensive data lakes, ensuring effective storage and handling of large volumes of structured and unstructured data. Champion the use of Python as the primary programming language, setting high standards for software development within the team. Facilitate close collaboration between software engineers, data scientists, data engineers, and DevOps teams to ensure seamless integration and deployment of GenAI models. Maintain a cutting-edge knowledge base in GenAI technologies to drive innovation and enhance software engineering processes continually. Translate complex business needs into robust technical solutions, contributing to strategic decision-making processes. Establish and document software engineering processes, methodologies, and best practices, promoting a culture of excellence. Ensure continuous professional development of the team by maintaining and acquiring new solution architecture certificates and adhering to industry best practices.,

As an AI Specialist at our company based in Hyderabad, you will be responsible for training and fine-tuning LLMs such as LLaMA and Mistral to cater to company-specific use cases. You will play a vital role in customizing and optimizing model performance for seamless production deployment. Collaboration with internal teams for model integration and data pipelines will be a key aspect of your role. It is imperative that you stay abreast of the latest advancements in GenAI and LLM techniques to contribute effectively. To excel in this role, you must possess hands-on experience with LLMs and fine-tuning techniques. Your expertise in the specifics of vector database indexing will be highly beneficial. We are looking for someone with a robust background in advanced AI/ML techniques and database indexing, particularly in the context of production projects. Familiarity with technologies such as LoRA, QLoRA, RAG, and PEFT is desirable. Additionally, your knowledge of model evaluation, optimization, and GPU training will be crucial for success in this position.,

As a Tableau Data Analyst at Freespace, you will be responsible for leveraging your expertise in AWS, ETL processes, and AI/ML techniques to contribute to the development of scalable data architectures. With 6-8 years of experience, you will play a crucial role in driving the transformation of Business Intelligent services at Freespace, reporting directly to the Product Head, Analytics. Your primary focus will be on ensuring clients can take ownership and self-service on data and insights across all Freespace products, while also delivering exceptional value through intelligent, behavioural analysis & data modelling solutions. You will lead a talented, cross-functional team of Full Stack Developers and Tableau Data Analysts, working closely with the product manager and client-facing teams to translate client needs into impactful technical solutions. Your responsibilities will include overseeing the delivery of solutions, defining and implementing modern data architecture using AWS services, guiding the migration of BI data to new AWS-powered data lakes and warehouses, implementing AI and ML capabilities, and contributing to the transition of Freespace's offering into a central SaaS analytics platform. To excel in this role, you should have expertise in Python for data manipulation, SQL for complex querying, and experience in developing and managing ETL pipelines. Proficiency in AWS services such as Lambda, Glue, S3, and Redshift is essential, along with a strong understanding of data architecture principles and experience in integrating AI/ML models into production environments. Familiarity with React, Node.js, Agile methodologies, and Tableau (or similar BI tools) will be beneficial. You should hold a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field, with at least 5 years of experience in data analysis, engineering, or science, including 2 years in a leadership capacity. Your innovative mindset, collaborative nature, adaptability, strategic thinking, and attention to detail will be key to your success in this role. At Freespace, you will enjoy a range of perks including paid leave, family mediclaim cover, company-sponsored meals, funded training opportunities, an Employee Referral Program, Employee Award program, and the chance to shape the company culture through Employee Resource Groups. If you are seeking a role that combines technical expertise with infrastructure management in a dynamic tech environment, we encourage you to apply by sending an email to shivani.jindal@afreespace.com. Join us at Freespace and be a part of our innovative journey towards creating exceptional workplace solutions.,

Are you seeking an exciting opportunity to join a dynamic and fast-paced team in a challenging area Join our team as a Quantitative Research Associate in the Asset & Wealth Management Risk Team. You will play a crucial role in developing and maintaining risk measurement methodologies, performing analytics calculations, and managing the Asset and Wealth Management Risk System (Newton). Your responsibilities will include contributing to the research and enhancement of risk methodologies for AWM Risk Analytics, collaborating with peers and stakeholders to identify opportunities for Data Science, assisting in continuous improvements of Machine Learning techniques, and designing scalable solutions using approved tools. Additionally, you will prepare model documentation for Model Risk Governance and Review, analyze new data sets, and ensure adherence to best practices in data model and architecture. The ideal candidate should have 2+ years of experience in quantitative analysis, data science, or a related field, possess strong technical skills, be detail-oriented, and have excellent communication abilities. A solid understanding of statistics, AI/ML techniques, and problem-solving skills is crucial. Knowledge of asset pricing, VaR backtesting, and programming languages like SQL, Python, and familiarity with ML tools like AWS Sagemaker and TensorFlow are preferred. A degree in Economics, Mathematics/Statistics, Engineering, Computer Science, or a related field is also preferred. Join us on a journey of innovation to introduce data-driven risk analytics solutions and transform our operations through machine learning techniques to enhance our system's value proposition.,