7 Aiml Techniques Jobs

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.,