Senior Consultant | ML Engineer | Bengaluru | Artificial Intelligence & Data

Must-Have:

• 8+ years of experience in software, data, or ML engineering, including 5+ years in MLOps or operationalizing AI/ML workflows
• Deep hands-on experience with Python, Spark/PySpark, SQL, and orchestration tools such as Airflow
• Proven experience with public cloud platforms, preferably GCP (Vertex AI, GKE, Cloud Run) or AWS
• Skilled in Databricks, FastAPI, and containerized environments using Docker, Kubernetes
• Deep understanding of CI/CD pipelines, version control systems (e.g., Git), and infrastructure-as-code (Terraform)
• Expertise with MLOps tools like MLflow, Kubeflow, or similar for model tracking, versioning, deployment, and monitoring
• Proficient with model monitoring frameworks (e.g., Prometheus, Grafana) and implementing model drift, performance degradation, and rollback mechanisms
• Familiarity with BI integration tools (e.g., Tableau) for exposing model outputs to business users
• Demonstrated ability to contribute to roadmap execution, and deliver outcomes
• Self-motivated, proactive, and comfortable working both independently and collaboratively across engineering, data science, and business teams
• Strong communication and stakeholder engagement skills, with a focus on impact and execution

Nice-to-Have:

• Practical experience with both structured and unstructured data pipelines supporting model training and real-time inference
• Familiarity with modern ML and deep learning frameworks, including Scikit-learn, TensorFlow, PyTorch
• Experience in utilization of foundation models (e.g., GPT, BERT, CLIP, DINO, SAM)
• Exposure to feature stores, unstructured data databases, or retrieval-augmented generation (RAG) pipelines
• Experience in agriculture, manufacturing, or supply chain domains with real-world ML applications