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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:
Software Engineer Job Description Job Summary We are seeking a skilled Software Engineer to join our team in Chennai. This is an onsite position within the IT / Technology industry. The ideal candidate will possess a strong analytical background and a proven ability to solve complex problems, with experience in Hyperion and related technologies. Key Responsibilities This role will involve a range of responsibilities related to Essbase and related systems, including but not limited to: Data Validation and Data Reconciliation to ensure data integrity. Month End Activities to support accurate financial reporting. Scenario Management , including opening and closing scenarios. User Acceptance Testing (UAT) to validate system functionality. Production Release Coordination to ensure smooth deployments. Application Migration activities to support system upgrades and transitions. Outline Management and Metadata Maintenance to ensure data accuracy and consistency. Essbase Backup and Essbase Recovery procedures to safeguard data. Essbase Optimization and Performance Tuning to maximize system efficiency. ETL processes to ensure data flows seamlessly. Testing and Development activities to support system enhancements. Required Skills & Qualifications Analytical Skills: Demonstrated ability to analyze complex data and identify trends and insights. Problem-Solving Skills: Proven ability to identify, analyze, and resolve technical issues effectively. Communication Skills: Excellent written and verbal communication skills to collaborate effectively with stakeholders. Technical Proficiency: Strong experience with Hyperion , including Essbase . Proficiency in Essbase Calculation Scripts and Essbase Maxl Commands . Experience with Essbase Partitions , including Transparent , Replicated , and Linked configurations. Familiarity with ASO and BSO architectures. Experience with Aggregate Storage and Block Storage . Proficiency in Essbase SmartView and Excel Add-in . Experience with LCM for Application Migration . Knowledge of Autosys for Job Maintenance , including Create Jobs , Update Jobs , and Delete Jobs . Experience with Encryption and Anonymization techniques. Financial Planning and Budgeting experience. Forecasting skills. End-User Support experience. Qualifications: A Bachelor's Degree is required. Experience Required: A minimum of 10 years of experience is expected, demonstrating a high level of seniority and expertise in the field. What We Offer Salary:
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 :
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:
Job Summary We are seeking four skilled Software Engineers to join our team in Chennai. This role is ideal for individuals with a strong foundation in data management and a passion for leveraging SAP technologies to drive business solutions. Key Responsibilities The Software Engineer will be responsible for a range of data-related tasks, including data extraction, transformation, and loading ( ETL ). They will also be involved in the technical specification documentation and ensuring smooth production cutovers through rigorous testing and rehearsals. Required Skills & Qualifications SAP S/4 HANA : Demonstrated proficiency in utilizing SAP S/4 HANA for data management and application development. SAP BODS : Expertise in SAP BODS (BusinessObjects Data Services) for data extraction, transformation, and loading processes. Data Migration Cockpit: Familiarity with the Data Migration Cockpit for efficient data migration activities. LSMW : Strong understanding and practical experience with LSMW (Legacy System Migration Workbench) for data transfer and migration. IDOC Loading Method : Knowledge of IDOC (Intermediate Document) loading methods for seamless data exchange. Data Extraction: Ability to extract data from various sources using appropriate techniques. Data Transformation: Skill in transforming data to meet specific requirements and ensure data quality. Data Loading: Experience in loading data into target systems accurately and efficiently. ETL : Solid understanding of ETL principles and practices. BAPI : Proficiency in utilizing BAPI (Business Application Programming Interface) for data access and manipulation. File-based Data Loading: Ability to load data from various file formats. BODS Scripting : Ability to write and maintain BODS scripts for data transformation and loading. SQL : Strong SQL skills for data querying, manipulation, and analysis. Data Validation: Ability to perform thorough data validation to ensure data accuracy and integrity. Data Transformation: Skill in transforming data to meet specific requirements and ensure data quality. Performance Tuning: Ability to optimize data processes for improved performance. Technical Specification Documentation: Ability to create clear and concise technical specifications. Production Cutover: Experience in planning and executing production cutovers. Mock Runs: Ability to conduct thorough mock runs to identify and resolve potential issues. Dress Rehearsals: Ability to participate in dress rehearsals to ensure a smooth production cutover. Experience Required: 6 + years of experience in a related field. This level of experience indicates a seasoned professional capable of independently managing complex data migration projects and mentoring junior team members. What We Offer Salary: Not provided.
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