???? About Es Magico Es Magico is an AI-first enterprise transformation organisation that goes beyond consulting we deliver scalable execution across sectors such as BFSI, Healthcare, Entertainment, and Education. With offices in Mumbai and Bengaluru, our mission is to augment the human workforce by deploying bespoke AI employees across business functions, innovating swiftly and executing with trust. We also partner with early-stage startups as a venture builder, transforming 0 ? 1 ideas into AI-native, scalable products. ???? Role: MLOps Engineer ??? Location: Bengaluru (Hybrid) ??? Experience: 14 years ??? Joining: Immediate ???? Key Responsibilities Design, develop, and maintain scalable ML pipelines for training, testing, and deployment. Automate model deployment, monitoring, and version control across dev/staging/prod environments. Integrate CI/CD pipelines for ML models using tools like MLflow, Kubeflow, Airflow, etc. Manage containerized workloads using Docker and orchestrate with Kubernetes or GKE. Collaborate closely with data scientists and product teams to optimize ML model lifecycle. Monitor performance and reliability of deployed models and troubleshoot issues as needed. ????? Technical Skills Experience with MLOps frameworks: MLflow, TFX, Kubeflow, or SageMaker Pipelines. Proficient in Python and common ML libraries (scikit-learn, pandas, etc.). Solid understanding of CI/CD practices and tools (e.g., GitHub Actions, Jenkins, Cloud Build). Familiar with Docker, Kubernetes, and Google Cloud Platform (GCP). Comfortable with data pipeline tools like Airflow, Prefect, or equivalent. ???? Preferred Qualifications 14 years of experience in MLOps, ML engineering, or DevOps with ML workflows. Prior experience with model monitoring, drift detection, and automated retraining. Exposure to data versioning tools like DVC or Delta Lake is a plus. GCP certifications or working knowledge of Vertex AI is a strong advantage. ???? How to Apply Send your resume to [HIDDEN TEXT] with the subject line: Application MLOps Engineer. Show more Show less
About Us Es Magico is an AI-first enterprise transformation organisation that extends beyond consulting to provide scalable execution across industries such as BFSI, Healthcare, Entertainment, and Education. With offices in Mumbai and Bengaluru, our mission is to enhance the human workforce with bespoke AI employees across business functions, innovating swiftly and executing with trust. We also collaborate with early-stage startups on their 0 → 1 journey as a venture builder, building AI-native products from scratch and scaling them to impact. Location: Mumbai / Bengaluru Responsibilities: Design, train, and deploy production-ready ML models . Build scalable ML pipelines using Azure ML services . Work on ETL, feature engineering, and big data pipelines . Implement MLOps best practices : versioning, monitoring, retraining. Collaborate with product teams to translate business problems into AI solutions . Optimize models for accuracy, latency, and scalability in production. Document experiments and maintain reproducibility across environments. Tech Stack / Tools You’ll Use: Programming: Python, SQL ML/DL: Scikit-learn, TensorFlow, PyTorch Azure: Azure ML, Azure Databricks, Azure Data Factory, Azure Functions MLOps: MLflow, Kubeflow, Azure DevOps Pipelines Data: Pandas, Spark, Delta Lake Visualization: Power BI, matplotlib, seaborn Requirements: 2+ years of hands-on ML/DS experience . Proven experience with Azure ML & Azure Cloud (mandatory) . Strong grasp of machine learning algorithms, statistics, and data pipelines . Experience deploying models in production at scale . Knowledge of MLOps practices and monitoring ML systems. Bonus: experience in NLP, CV, or Generative AI .
About Us Es Magico is an AI-first enterprise transformation organisation that extends beyond consulting to provide scalable execution across industries such as BFSI, Healthcare, Entertainment, and Education. With offices in Mumbai and Bengaluru, our mission is to enhance the human workforce with bespoke AI employees across business functions, innovating swiftly and executing with trust. We also collaborate with early-stage startups on their 0 → 1 journey as a venture builder, building AI-native products from scratch and scaling them to impact. Location: Mumbai / Bengaluru Responsibilities: Assist in designing and training ML/DL models for real-world enterprise use cases. Conduct literature reviews and implement state-of-the-art AI algorithms . Support data preprocessing, feature engineering, and exploratory analysis . Help in developing proof-of-concepts and AI prototypes for clients. Contribute to model evaluation, hyperparameter tuning, and performance tracking . Document code, experiments, and results in a reproducible manner. Tech Stack / Tools You’ll Use: Programming: Python ML/DL: TensorFlow, PyTorch, Scikit-learn Data: Pandas, NumPy, NLTK, OpenCV Cloud: Azure ML, Databricks (exposure preferred) Version Control: Git, GitHub/GitLab Experiment Tracking: MLflow, Weights & Biases (nice to have) Requirements: Pursuing or recently completed B.Tech/M.Tech/MSc in CS, Data Science, AI, or related . Solid understanding of ML fundamentals, linear algebra, probability, statistics . Exposure to deep learning (CNN, RNN, Transformers) is a plus. Strong problem-solving and curiosity to apply AI practically.
About Es Magico: Es Magico is an AI-first enterprise transformation organisation that goes beyond consulting to deliver scalable execution across industries including BFSI, Healthcare, Entertainment, and Education. With offices in Mumbai and Bengaluru, we focus on enhancing the human workforce with bespoke AI employees across business functions, innovating swiftly and executing with trust. Additionally, we partner with early-stage startups as a venture builder, bringing AI-native products from 0 → 1 Position: HR Manager Location: Mumbai (In-office) Experience: 4+ years Role Overview: We are seeking an experienced HR Manager to lead end-to-end HR operations at our Mumbai office. This is a fully in-office role requiring ownership across Recruitment, Employee Efficiency Tracking, HR Generalist functions, and coordination with accounts for invoice and sales-related processes. Key Responsibilities (KRAs): 1) Recruitment & Talent Acquisition: Drive end-to-end recruitment for various functions including sourcing, interviewing, and onboarding. Collaboration with the team leads to understanding hiring requirements and role specifications. 2) Efficiency Tracking & HR Analytics: Monitor and analyze employee performance, engagement, and productivity metrics. Implement systems for performance management, feedback collection, and reporting. 3) HR Generalist Activities: Manage HR operations including onboarding, exit formalities, payroll, attendance, leave management, employee engagement, policy implementation, and grievance handling. 4) Accounts & Sales Coordination: Liaise with accounts for invoice generation, quotations, follow-ups, and ensure timely processing of payments and reimbursements. Support coordination between sales, finance, and internal teams to maintain smooth financial operations. Qualifications & Skills: 4+ years of HR experience, preferably in fast-paced or tech-driven organizations. Strong knowledge of recruitment, HR policies, employee engagement, and generalist functions. Experience in tracking employee efficiency and performance metrics. Proficiency in HR software, MS Office, and reporting tools. Excellent communication, interpersonal, and problem-solving skills. Ability to work independently in an in-office setup. Why Join Us: Opportunity to work in a cutting-edge AI-first organization. Collaborate with a dynamic team and contribute to enterprise transformation. Play a key role in shaping the HR processes and culture of a fast-growing organization.