Job Description

General Information Role Title: ML Ops Engineer Job Location: Bengaluru (Hybrid) About Fulfillment IQ (FIQ) Position Summary We are looking for an MLOps Engineer to join our team and help us scale our machine learning products from prototype to production. You will work closely with data scientists, software engineers, and DevOps teams to design, build, and maintain robust, scalable, and automated ML pipelines and infrastructure. Main Responsibilities Build and maintain ML pipelines for data ingestion, feature engineering, model training, evaluation, and deployment Deploy machine learning models to production using containerization tools like Docker and orchestration systems like Kubernetes Set up continuous integration and continuous deployment (CI/CD) pipelines for ML workflows Monitor model performance (accuracy, drift, latency) and system health; implement alerts and automated retraining when needed Collaborate with data scientists to ensure models are reproducible, version-controlled, and production-ready Optimize resource usage (compute, storage, GPUs) and ensure cost-efficient infrastructure on cloud platforms (AWS, GCP, Azure) Develop and maintain model governance, including audit trails, explainability, and compliance Experience and Qualifications Bachelor s or master s degree in computer science, Engineering, Data Science, or a related field 4-7 years of experience in MLOps, machine learning engineering, or related fields Strong programming skills in Python; familiarity with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (Terraform, CloudFormation) Hands-on experience with containerization (Docker) and orchestration (Kubernetes) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions) Understanding of machine learning lifecycle, model monitoring, and data pipelines (Airflow, Kubeflow, MLflow) Strong problem-solving skills and the ability to work in a cross-functional team. Nice-to-Have Experience with model explainability and governance tools Knowledge of data engineering (Spark, Kafka) Familiarity with distributed training, GPUs, and optimization techniques Why You ll Love Working Here Innovative Environment: We are at the forefront of innovation, providing you with opportunities to work on cutting-edge projects that have a global impact. Career Growth : We believe in your potential and offer numerous training and development programs to accelerate your career growth. Work-Life Balance : We offer flexible working hours, hybrid/remote work options, and a focus on wellness to ensure our team members maintain a healthy balance. Diversity & Inclusion: We are committed to creating an inclusive work environment where diverse voices are not just heard but empowered. Collaborative Culture : Work with a supportive and talented team, where every opinion is valued, and success is celebrated collectively. Corporate events : Annual gathering for gelling up with team from diverse city/state/country with sightseeing and lot more engagement activity and thrill . Perks and Benefits Comprehensive health insurance coverage for employees & their family. Generous paid time off, including vacation, holidays, and sick leave. Flexible work schedules Employee wellness program. Opportunities for career development. Business/client travel reimbursement, Internet reimbursement, Workstation equipment s Sponsored visa to USA (Depends on performance, Client and project needs and management decision) Celebrating your work anniversary with Amazon or Sodexo voucher Employee Stock options Retirement saving plan FIQ Culture