Machine Learning Jobs

Software Engineer (3) - Core Engineer D

RLE India Private Limited•

Chennai

•Full-time

Software Engineer (3) - Core Engineer D Job Summary We are seeking three experienced Software Engineers to join our team as Core Engineers. This role will be based onsite in Chennai and offers a challenging opportunity to contribute to cutting-edge technology solutions within the Technology industry. Key Responsibilities The responsibilities for this role will be defined upon onboarding and will align with the team's objectives. Required Skills & Qualifications Education: A Bachelor's Degree and a Master's Degree are required. Experience: A minimum of 8 years of experience in software engineering is expected. This level of experience indicates a seasoned professional capable of independent work and potentially mentoring junior team members. Programming Languages: Proficiency in Java and TypeScript is essential. Frameworks & Libraries: Demonstrated experience with Spring Boot , React , and Next.js . Databases: Strong understanding of both Relational Databases and NoSQL databases. Object-Oriented Design Principles: A solid grasp of Object-Oriented Design Principles is required, enabling the creation of maintainable and scalable code. Agile Methodologies: Experience with eXtreme Programming is desirable. Cloud Technologies: Familiarity with Google Cloud Platform ( GCP ), Amazon Web Services , Microsoft Azure , and Pivotal Cloud Foundry . Infrastructure as Code: Experience with Terraform for managing infrastructure as code. Code Quality Tools: Experience with SonarQube for code quality analysis. Build Tools: Proficiency with Maven and Gradle for dependency management and build automation. API Management: Experience with Apigee X and API Gateways for managing and securing APIs. Front-End Architecture: Understanding of Micro Frontend Architecture and Event-Driven Architecture . Web Development Fundamentals: Strong foundation in HTML , CSS , and JavaScript . JavaScript Frameworks: Experience with Webpack , Redux , PrimeNG , and Bootstrap . Testing: Experience with Performance Testing Frameworks , Mocha , Jest , Jasmine , Karma , and JUnit . DevOps: Experience with Cloud Monitoring and Splunk , Dynatrace . Project Management Tools: Experience with Jira , CA Agile Central , and Rally . Soft Skills: Excellent Communication Skills , Interpersonal Skills , and Problem-Solving Skills . Leadership: Demonstrated Leadership potential. Data & Analytics: Experience with Machine Learning , Mathematical Modeling , and Data Analysis . What We Offer Competitive Salary

Machine Learning Engineer

SACHA Engineering•

Chennai

•Full-time

Machine Learning Engineer Job Description Job Summary We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Chennai. This role offers an exciting opportunity to contribute to cutting-edge projects within the IT / Technology industry. Key Responsibilities The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models and pipelines. This includes collaborating with cross-functional teams to identify and solve complex business problems using data-driven solutions. Required Skills & Qualifications AI/ML : A strong understanding of artificial intelligence and machine learning principles, including various algorithms and techniques. Scikit-learn : Proficiency in utilizing Scikit-learn for model building, evaluation, and selection. PyTorch : Experience with PyTorch for deep learning model development and training. TensorFlow : Familiarity with TensorFlow for building and deploying large-scale machine learning models. LLM : Knowledge of Large Language Models (LLMs) and their applications. ETL : Experience with Extract, Transform, Load ( ETL ) processes for data preparation and integration. Big Query : Ability to work with Big Query for data warehousing and querying. Data Flow : Understanding of Data Flow concepts and their application in data processing. Python : Strong programming skills in Python for data analysis, machine learning, and scripting. Airflow : Experience with Airflow for orchestrating and scheduling data pipelines. PySpark : Proficiency in PySpark for distributed data processing and machine learning. SQL : Expertise in SQL for data querying and manipulation. GCS : Familiarity with Google Cloud Storage ( GCS ) for data storage and management. GitHub : Experience using GitHub for version control and collaboration. CI/CD : Knowledge of Continuous Integration and Continuous Deployment ( CI/CD ) practices. Dynatrace : Experience with Dynatrace for application performance monitoring. Analytical Skills : Exceptional analytical and problem-solving skills with the ability to interpret data and draw meaningful conclusions. Software Engineering : Solid foundation in software engineering principles and best practices. Design Practices : Understanding of software design patterns and principles. Documentation : Ability to create clear and concise technical documentation. DevOps : Familiarity with DevOps methodologies and tools. Pair Programming : Experience with Pair Programming techniques for collaborative development. TDD : Knowledge of Test-Driven Development ( TDD ) principles. Agile Ceremonies : Experience participating in Agile Ceremonies . PI Planning : Understanding of PI Planning within an Agile framework. Experience Required: 4 - 10 years of relevant experience. We are seeking a candidate with a proven track record of building and deploying machine learning solutions. This level of experience should demonstrate a strong understanding of the entire machine learning lifecycle, from data collection and preparation to model deployment and monitoring. What We Offer Salary:

Machine Learning Engineering Engineer 2

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and motivated Machine Learning Engineering Engineer 2 to join our growing team. This role is ideal for an individual with a strong foundation in machine learning principles and a passion for building and deploying innovative solutions within the IT / Technology industry. Key Responsibilities The responsibilities of this role will encompass a range of tasks related to the development, implementation, and maintenance of machine learning models and pipelines. The candidate will collaborate with cross-functional teams to ensure the successful integration of machine learning solutions into our existing infrastructure. Required Skills & Qualifications AI/ML: Demonstrated proficiency in Artificial Intelligence and Machine Learning concepts, including model selection, training, evaluation, and deployment. Scikit-learn: Experience utilizing Scikit-learn for various machine learning tasks, including data preprocessing, model selection, and evaluation. PyTorch: Familiarity with PyTorch , a widely used deep learning framework, for building and training complex neural networks. TensorFlow: Experience with TensorFlow , another popular deep learning framework, for developing and deploying machine learning models at scale. LLM: Understanding of Large Language Models ( LLM ) and their applications. ETL: Knowledge of ETL (Extract, Transform, Load) processes for data preparation and integration. Big Query: Experience with BigQuery for querying and analyzing large datasets. Data Flow: Familiarity with Data Flow for building and managing data processing pipelines. Python: Strong programming skills in Python , a versatile language widely used in machine learning. Airflow: Experience with Airflow for orchestrating and scheduling complex data workflows. PySpark: Proficiency in PySpark for distributed data processing and machine learning. SQL: Solid understanding of SQL for data querying and manipulation. GCS: Experience with GCS (Google Cloud Storage) for storing and managing data in the cloud. GitHub: Familiarity with GitHub for version control and collaborative development. CI/CD: Understanding of CI/CD (Continuous Integration/Continuous Deployment) principles and practices. Dynatrace: Experience with Dynatrace for application performance monitoring. Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret data and draw meaningful conclusions. Software Engineering: Solid foundation in Software Engineering principles and best practices. Design Practices: Knowledge of software design patterns and principles. Documentation: Ability to create clear and concise technical documentation. DevOps: Understanding of DevOps methodologies and practices. Pair Programming: Experience with Pair Programming techniques for collaborative code development. TDD: Familiarity with TDD (Test-Driven Development) methodologies. Agile: Experience working within an Agile development environment. Education: Bachelor's Degree required. Experience: 1 - 4 years of relevant experience. This level is expected to be a mid-level contributor, capable of working independently and contributing to team goals. What We Offer Salary: