Artificial Intelligence Jobs in Chennai

Data Science and Machine Learning Specialist

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly skilled and motivated Data Science and Machine Learning Specialist to join our team in Chennai. This role will focus on leveraging data to drive insights and build impactful solutions. The ideal candidate will possess a strong analytical background and a passion for applying data science techniques to solve complex business challenges. Key Responsibilities The specific responsibilities will be determined based on the needs of the business and will evolve over time. The candidate should be prepared to adapt and take on new challenges as they arise. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: Data Science : A strong understanding of data science principles, methodologies, and best practices, including data exploration, cleaning, and transformation. Machine Learning : Proficiency in applying machine learning algorithms and techniques to build predictive and prescriptive models. Data Mining : Experience in extracting valuable insights and patterns from large datasets using data mining techniques. Predictive Modeling : Ability to develop and implement predictive models to forecast future outcomes and trends. Prescriptive Modeling : Capability to build prescriptive models that recommend optimal actions based on data-driven insights. Math : A solid foundation in mathematical concepts, including calculus, linear algebra, and optimization. Statistics : A strong understanding of statistical methods and their application to data analysis and interpretation. Advanced Analytics : Expertise in applying advanced analytical techniques to solve complex business problems. Data Augmentation : Experience with data augmentation techniques to improve model performance and generalization. Scalable Models : Ability to design and implement scalable machine learning models that can handle large datasets and high-volume workloads. Automation : Experience in automating data science workflows and processes to improve efficiency and productivity. Big Query : Proficiency in using Big Query for data storage, querying, and analysis. Education : A Bachelor's Degree is required. Experience : A minimum of 5 - 5 years of relevant experience in data science and machine learning is required. This level of experience indicates a seasoned professional capable of independently tackling complex projects and mentoring junior team members. What We Offer Salary : Not specified.

Artificial Intelligence Senior Associate

RLE India Private Limited•

Chennai

•Full-time

Artificial Intelligence Senior Associate Job Summary We are seeking two Artificial Intelligence Senior Associates to join our growing team in Chennai. This role is ideal for a highly motivated individual with a strong foundation in AI/ML and a passion for building innovative solutions within the Technology industry. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for contributing to the full lifecycle of AI/ML models, from design and development to deployment and monitoring. This includes collaborating with cross-functional teams to define requirements, build and test models, and ensure their ongoing performance and reliability. Required Skills & Qualifications AI/ML : A strong understanding of machine learning algorithms, statistical modeling, and data mining techniques. This includes experience in model selection, training, and evaluation. GCP : Proficiency in utilizing Google Cloud Platform ( GCP ) services for machine learning, including but not limited to GCP AI Platform, Vertex AI, and related tools. GenAI : Experience with Generative AI models and techniques, including understanding of their capabilities and limitations. AI Agents : Familiarity with the principles and implementation of AI Agents , including their design, development, and integration into larger systems. MLOps : Solid understanding of MLOps principles and practices, including continuous integration, continuous delivery, and automated testing for machine learning models. Governance : Knowledge of data governance principles and best practices, ensuring responsible and ethical use of AI/ML models. RESTful APIs : Experience designing and implementing RESTful APIs for integrating AI/ML models into applications and services. Microservices : Understanding of microservices architecture and experience building and deploying AI/ML models as microservices . Data Pipelines : Ability to design, build, and maintain robust and scalable data pipelines for ingesting, transforming, and preparing data for AI/ML models. Model Monitoring : Experience in implementing and maintaining model monitoring systems to track performance, detect anomalies, and ensure model reliability. Performance , Drift , Reliability : A keen eye for detail and a commitment to ensuring the performance , minimizing drift , and maximizing the reliability of AI/ML models. Serverless : Experience with serverless computing platforms and their application to AI/ML model deployment. Containerized : Proficiency in containerized deployment using technologies like Docker and Kubernetes . Agile : Experience working in an Agile development environment, with a focus on iterative development and continuous improvement. Product Management : Ability to collaborate effectively with product management teams to define requirements and translate business needs into technical solutions. Reasoning : Strong analytical and reasoning skills to effectively analyze data and solve complex problems. Tool-use : Ability to quickly learn and adapt to new tools and technologies. APIs : Experience working with various types of APIs . Qualifications : A Bachelor's Degree is required. Experience Required : 3 - 5 years of relevant experience in AI/ML development and deployment. What We Offer Salary :

Artificial Intelligence Senior Associate

RLE India Private Limited•

Chennai

•Full-time

Artificial Intelligence Senior Associate Job Summary We are seeking a highly motivated and skilled Artificial Intelligence Senior Associate to join our growing team in Chennai. This role offers an exciting opportunity to contribute to cutting-edge AI and ML initiatives within a dynamic Technology environment. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for a range of tasks related to the development, deployment, and maintenance of AI and ML models and systems. This includes collaborating with cross-functional teams to define project requirements, designing and implementing solutions, and ensuring the quality and reliability of deployed models. Required Skills & Qualifications AI/ML : A strong understanding of artificial intelligence and machine learning principles, including various algorithms, techniques, and their practical applications. GCP : Proficiency in utilizing Google Cloud Platform ( GCP ) for developing and deploying AI and ML solutions. This includes experience with GCP services such as Vertex AI, BigQuery, and Cloud Storage. GenAI : Experience with Generative AI models and techniques, including understanding of large language models and their applications. AI Agents : Familiarity with the principles and implementation of AI Agents , including their design, development, and integration into existing systems. MLOps : Knowledge of MLOps practices and tools for automating and streamlining the machine learning lifecycle, from model development to deployment and monitoring. RESTful APIs : Ability to design and implement RESTful APIs for integrating AI and ML models with other systems and applications. Microservices : Experience with microservices architecture and its application in building scalable and resilient AI and ML systems. Data Pipelines : Ability to design and implement robust and efficient data pipelines for ingesting, transforming, and preparing data for AI and ML models. Model Monitoring : Experience with model monitoring techniques and tools for tracking model performance and identifying potential issues. Model Governance : Understanding of model governance principles and best practices for ensuring the ethical and responsible use of AI and ML models. Serverless : Familiarity with serverless computing concepts and technologies for building scalable and cost-effective AI and ML applications. Containerized : Experience with containerized deployments using technologies like Docker and Kubernetes . Agile : Experience working in an Agile development environment, with a focus on iterative development and continuous improvement. Product Management : Ability to collaborate with product management teams to define requirements and translate them into technical solutions. Reasoning : Strong analytical and reasoning skills for problem-solving and decision-making in complex situations. Tool-use : Ability to effectively utilize various AI and ML tools and technologies. APIs : Understanding of APIs and their role in integrating AI and ML models with other systems. Qualifications : A Bachelor's Degree is required. Experience Required : 3 - 5 years of relevant experience in the field of AI and ML . What We Offer We offer a competitive compensation package.

Artificial Intelligence Senior Associate

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly motivated and skilled Artificial Intelligence Senior Associate to join our growing team in India. This role is ideal for a candidate with a strong foundation in data science and a passion for leveraging AI/ML to solve complex business challenges within the Technology industry. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for a range of tasks related to the development, implementation, and maintenance of AI/ML solutions. This includes collaborating with cross-functional teams to identify opportunities for AI/ML applications, designing and building AI/ML models, and ensuring the scalability and reliability of these models in a production environment. The role requires a proactive approach to problem-solving and a commitment to continuous improvement. Required Skills & Qualifications AI/ML : A deep understanding of artificial intelligence and machine learning principles, including various algorithms and techniques for model building, training, and evaluation. Python : Proficiency in Python programming language for data manipulation, statistical analysis, and AI/ML model development. Google Cloud Platform (GCP) : Experience with GCP services, including Big Query , Dataproc , Data Fusion , and Cloud SQL , for data storage, processing, and analysis. Data/Analytics : Strong analytical skills with the ability to extract meaningful insights from large datasets and communicate findings effectively. Automation : Experience in automating data processing and AI/ML workflows to improve efficiency and reduce errors. Business Analysis : Ability to understand business requirements and translate them into technical specifications for AI/ML solutions. Business Transformation : A grasp of how AI/ML can be leveraged to drive business transformation and create competitive advantage. CI/CD : Familiarity with continuous integration and continuous delivery ( CI/CD ) practices for deploying and managing AI/ML models. ETL : Experience with extract, transform, load ( ETL ) processes for data integration and preparation. Jira : Proficiency in using Jira for project management and issue tracking. Data Flow : Understanding of data flow principles and techniques for designing efficient data pipelines. TERRAFORM : Experience with TERRAFORM for infrastructure as code. Tekton : Knowledge of Tekton for container-native CI/CD. AIRFLOW : Experience with AIRFLOW for orchestrating complex data workflows. Airflow PySpark : Ability to utilize Airflow with PySpark for large-scale data processing. POSTGRES : Familiarity with POSTGRES database. API : Understanding of API design and integration. GCP : Comprehensive knowledge of GCP ecosystem. Financial Reporting : Ability to apply AI/ML techniques to financial data and generate insightful reports. Leadership : Demonstrated leadership potential with the ability to guide and mentor junior team members. Strategic Communication : Excellent communication skills with the ability to present complex technical concepts to both technical and non-technical audiences. Communication Skills : Strong written and verbal communication skills. Analytical Skills : Exceptional analytical and problem-solving skills. Problem-Solving Skills : Ability to identify, analyze, and solve complex problems effectively. GitHub : Proficiency in using GitHub for version control and collaboration. Qualifications : A Bachelor's Degree and a Master's Degree are required. Experience Required : We are seeking candidates with 3-9 years of relevant experience in data science or a related field. This level of experience indicates a strong foundation in AI/ML principles and a proven ability to deliver impactful results. What We Offer Salary :

Artificial Intelligence Senior Associate

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly motivated and skilled Artificial Intelligence Senior Associate to join our growing team. This role will focus on leveraging cutting-edge AI/ML techniques to solve complex business challenges within the IT / Technology industry. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for a range of tasks related to the development, deployment, and maintenance of AI/ML models and systems. This includes contributing to the full lifecycle of AI projects, from initial conception and design to implementation, testing, and ongoing monitoring. Required Skills & Qualifications AI/ML : A strong understanding of artificial intelligence and machine learning principles, including various algorithms and techniques for data analysis, prediction, and automation. GCP : Proficiency in utilizing Google Cloud Platform (GCP) for developing and deploying AI/ML solutions. This includes familiarity with GCP Services and their integration within a cloud-based environment. GenAI : Experience with Generative AI models and their applications. AI Agents : Knowledge of AI Agents and their implementation. RESTful APIs : Ability to design and integrate with RESTful APIs for seamless data exchange and system interoperability. Microservices : Understanding of Microservices architecture and its application in building scalable and resilient AI systems. MLOps : Experience with MLOps practices to streamline the machine learning lifecycle, including automation, continuous integration, and continuous delivery. Serverless : Familiarity with Serverless computing concepts and their application in building efficient and cost-effective AI solutions. Containerized : Experience with Containerized environments, such as Docker and Kubernetes , for deploying and managing AI applications. Agile : Proven ability to work within an Agile development framework, collaborating effectively with cross-functional teams. Product Management : Understanding of Product Management principles and their application in defining and delivering successful AI -powered products. Reasoning : Ability to apply logical Reasoning to solve complex problems and make informed decisions. Tool-use : Proficiency in utilizing various AI and ML tools and frameworks. APIs : Experience with APIs and their integration. Data Pipelines : Ability to design and implement robust Data Pipelines for efficient data processing and transformation. Model Training : Expertise in Model Training techniques and best practices. Model Deployment : Experience with Model Deployment strategies and tools. Model Versioning : Ability to implement Model Versioning to track and manage different versions of AI models. Model Monitoring : Proficiency in Model Monitoring techniques to ensure the ongoing performance and accuracy of AI models. Model Governance : Understanding of Model Governance principles and their application in ensuring responsible and ethical use of AI . Qualifications : A Bachelor's Degree is required. Experience Required : 3 - 5 years of relevant experience in the field of AI/ML is expected. This level of experience indicates a solid foundation in AI principles and a proven ability to contribute effectively to real-world projects. What We Offer Salary: