MLOps

Job Brief:## Job Description: MLOps Engineer**Position:** MLOps Engineer  **Experience:** Minimum 2 years in a relevant field### Responsibilities:- Deploy machine learning models into production environments efficiently and effectively.- Utilize automation and orchestration tools to manage and streamline ML workflows.- Implement monitoring solutions to...

India (Remote) Full Time **The role**: The role of the content marketing associate is primarily to act as a liaison between our business and our customers & target audience. We are looking for somebody who shares our values of customer obsession and who values providing value to our customers through content. ‍ **Are you the one?**: You are a communicator...

Position - Python SDET - Experience : 8+ years - Location : Remote (Preferred Hyderabad) - Must Haves: - Technical skillset: Python, Selenium, SQL, and any kind of testing for data visualization/dashboards (Tableau, Power BI, Qlik, etc.) - Extensive experience in quality control and keen attention to detail - Excellent analytical and problem-solving...

AI/ML Ops Engineer – AIOps, GenAI & CloudExperience: 4+ YearsLocation: Remote (1–2 days/month from any HCL location)Work Hours: 11:00 AM – 8:30 PM ISTEmployment Type: Full-Time / ContractAbout the Role:We are seeking a skilled AI/ML Ops Engineer to design, develop, and deploy intelligent AIOps solutions that enhance IT system reliability and automate...

OverviewWe are seeking a Veteran software architect designing comprehensive MLOps platform, establishing technical standards, and leading infrastructure integration for ML deployment.ResponsibilitiesDesign and architect the overall MLOps platform.Lead security and authentication integration across systems.Establish technical standards and architectural...

Data Scientist100 % REMOTE job..Long term contract.Note: Bilingual ( French speaking) only.JD:~3–6+ years of hands-on experience in data science / ML, ideally with production ML or MLOps exposure.Strong Python skills and a track record of shipping production-grade code (pandas, numpy, scikit-learn, comfortable with Deep Learning framework (PyTorch,...

OverviewWe are seeking a Technical team leader overseeing MLOps infrastructure development, integration of toolsets, and deployment automation for ML models.ResponsibilitiesLead the development of MLOps infrastructure components.Oversee the integration of various MLOps tools (MLFLOW, Kubernetes, etc.).Manage implementation timeline and resource...

ML - Python, ML Algorithms, Deep learning, Tensor flow etc. MLOps - Vertex AI, ML flow, KubeFlow, TFX etc. DevOps - CI/CD pipelines setup - Github actions, Teamcity etc. Tooling Strategy Management - Tooling options, Vendors, Product roadmap etc.

Experience in ML Ops exp. Tools Used Across Modules Category Tools Version Control Git, DVC Data Processing Pandas, Polars, Dask, Spark Streaming Apache KaŅa, Apache Flink Pipeline OrchestraƟon Apache Airflow, Prefect Experiment Tracking MLflow, Optuna, Ray Tune Model Serving BentoML, FastAPI, Triton Inference Server Exp: 4+ years - Good Oral and written...

Location: India (Remote / Hybrid)Job Type: PermanentExperience: 3–7 yearsAbout the Role:Operationalize ML/AI models at scale.Responsibilities:Automate ML pipelines (training, deployment, monitoring).Implement model drift detection and retraining workflows.Optimize cloud infrastructure for AI.Skills: MLflow, Kubeflow, Airflow, Docker, Kubernetes, Terraform,...