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Technical Project Manager - Data Science / Data Engineering Location : Bangalore, Pune, Chennai, Hyderabad Job Type : Full-Time Experience :7 to 10yrs Job Summary : We are seeking a Technical Project Manager (TPM) with expertise in Data Science and Data Engineering to lead cutting-edge projects. This role involves collaborating with cross-functional teams, ensuring timely project delivery, and driving innovation in Big Data, AI, and Analytics. This is an excellent opportunity for a leader passionate about data-driven transformations and scalable AI solutions! Key Responsibilities : - Project Leadership: Lead and manage end-to-end Data Science & Data Engineering projects. - Stakeholder Collaboration: Work closely with Data Scientists, Engineers, Analysts, and Business Leaders. - Agile & Scrum Execution: Define project scope, timelines, milestones, and ensure on-time delivery. - Data Strategy: Oversee data governance, security, compliance, and best practices. - Risk Management: Identify bottlenecks, propose solutions, and ensure smooth execution. - Technology Oversight : Drive the adoption of AI/ML models, data pipelines, cloud solutions, and automation. - Project Management Experience : 5+ years leading Data Science / Data Engineering projects. Technical Expertise : - Strong knowledge of Big Data Technologies (Spark, Hadoop, Kafka, Snowflake, etc.) - Familiarity with Cloud Platforms (AWS, GCP, Azure) - Experience with ML frameworks & scalable data pipelines Methodologies & Tools : - Agile/Scrum, Kanban, SAFe - Jira, Confluence, Git, CI/CD pipelines - Soft Skills : Strong leadership, communication, and stakeholder management skills.

Bangalore

Pune

Chennai

Hyderabad

Brillio Technologies - Technical Project Manager - Data Science/Engineering (7-10 yrs)

Senior Data Scientist ( ML Scientist): About Role: Skills: ML Engineer , SQL Querying , Statistical Analysis , Python , MLOps Responsibilities: - Model Development: Develop machine learning models and algorithms to solve business problems, leveraging techniques such as supervised learning, unsupervised learning, and deep learning. - Deployment and Integration: Deploy machine learning models into production environments and integrate them with existing systems and workflows. - Performance Optimization: Optimize machine learning models for scalability, efficiency, and performance, considering factors such as latency, throughput, and resource utilization. - Monitoring and Maintenance: Monitor model performance in production, identify and diagnose issues, and implement solutions to ensure continued reliability and effectiveness. - Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to understand business requirements and deliver solutions that meet stakeholders' needs. - Research and Innovation: Stay up-to-date with the latest advancements in artificial intelligence and machine learning research, and explore new techniques and methodologies to improve model performance and capabilities. ML Scientist: - Data Scientist with ML - Development and maintenance of ML pipeline - ML Engineer focusing on experimentation and tracking - Experience and hands on working with simulation techniques - Strong understanding of ensemble algorithms, especially XGBoost, Random Forest - Should have understanding on Hyperparameter tuning like Random Search and Grid Search. - SQL Querying: Intermediate to advanced skills, including window functions, self-joins, and complex joins. - Statistical Analysis: Proficiency in hypothesis testing (e.g., T-Test, P-Value) and determining statistical significance. - Python Programming: understanding of Python for data manipulation and analysis. - MLOPS experience - Drift Frame Work : Framework for detecting drift Automatically monitor track accuracy and trigger model retraining and notifications to restore previous accuracy levels

Gurgaon/Gurugram

Brillio - Senior Data Scientist - Machine Learning (6-10 yrs)

Job Description : - Proficient in Java, with a good knowledge of its ecosystems mandatory experience on Routing Algorithm, data structure , Graph data structure etc. - Solid understanding of object-oriented programming - Familiar with various design and architectural patterns - Skill for writing reusable Java libraries - Knowledge of concurrency patterns in Java - Familiarity with concepts of MVC, JDBC, and RESTful - Experience with popular web application frameworks, such as Play and Spark - Familiarity with Java GUI frameworks {{such as Swing, SWT, and AWT depending on project requirements}} - Knack for writing clean, readable Java code - Experience with both external and embedded databases - Understanding fundamental design principles behind a scalable application - Basic understanding of the class loading mechanism in Java - Creating database schemas that represent and support business processes - Basic understanding of JVM, its limitations, weaknesses, and workarounds - Implementing automated testing platforms and unit tests - Proficient understanding of code versioning tools, such as Git

Brillo Technologies - Java Developer (5-10 yrs)

Key Skills : - Gen AI and classic ML (forecasting, optimization, modelling etc..) - Python/R, TensorFlow, PyTorch, Scikit-learn - Data Analysis and Feature Engineering - SQL, Spark, Big Data Technologies - Cloud Platforms (AWS, Azure, GCP) - A/B Testing and Statistical Analysis - Excellent Communication and Collaboration Skills Key Responsibilities : Model Development & Implementation : - Design, develop, and implement machine learning models and statistical algorithms to solve business problems (e.g., predictive modeling, classification, recommendation systems, NLP). - Own the end-to-end lifecycle of model development from data exploration and feature engineering to model training, deployment, and monitoring. Data Analysis & Insights Generation : - Perform in-depth exploratory data analysis (EDA) to identify trends, patterns, and opportunities. - Translate complex data into clear and actionable business insights. Business Collaboration : - Partner with stakeholders (Product, Engineering, and Business teams) to understand requirements and deliver impactful data science solutions. - Communicate findings and model outcomes effectively to technical and non-technical audiences. Technical Leadership : - Guide and mentor junior data scientists in best practices, model optimization, and advanced techniques. - Act as a thought leader, contributing to the strategic roadmap of data science initiatives. Scalability and Deployment : - Ensure models are robust, scalable, and integrated with business workflows. Continuous Improvement : - Monitor model performance post-deployment and iterate on models to improve accuracy and business value. - Stay up to date with the latest tools, techniques, and trends in machine learning and data science

Brillio - Senior Artificial Intelligence/Machine Learning Engineer (5-8 yrs)

Skills - AWS ecosystem, especially AWS ECS, AWS EMR, AWS SageMaker, CodeBuild, and CodePipeline and Expertise in CI/CD processes , ready to work on and learn new skills like Dagster and/or Kedro , Spark/Scala. Required Skills & Experience : - Experience in developing and managing ETL pipelines. - Demonstrated experience with AWS ecosystem, especially AWS ECS, AWS EMR, AWS SageMaker, CodeBuild, and CodePipeline. - Strong understanding and practical experience with GitHub for version control. - Extensive experience with Docker for containerization and managing container-based applications. - Expertise in CI/CD processes, including automated testing and deployment pipelines. - Proven track record in unit testing and integration testing for maintaining code and infrastructure quality. Preferred Skills : - Hands-on experience with developing interactive notebook-based workflows. - Familiarity with data engineering and MLOps best practices to drive continuous improvement in development processes. - Strong collaboration skills, with the ability to work closely with data scientists, engineers, and other stakeholders.

Brillio - Senior/Lead Data Engineer - AWS Cloud (7-9 yrs)

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