🚀 Exciting Opportunity: Impact Analytics is Hiring Top 5 MLOps Engineers Across PAN India!

What lands you in this role

• Bachelors or Master’s degree in Computer Science, IT, Statistics, Applied Mathematics & Computing, or a related field, with 3 to 6 years of relevant workexperience in Software development, Machine learning, and DevOps
• Strong programming skills in Python and web frameworks like Django/FastAPI
• Practical understanding of ML frameworks, libraries and packages like scikit-learn, PyTorch, TensorFlow,
• Understanding of ML Lifecycle, MLOps & Hands on experience to Productionize theML Model Deep knowledge of MLOPs frameworks like Kubeflow, Mlflow
• Familiarity with Big Data Technologies – Airflow, Spark & working knowledge of Kubernetes, Docker & CI/CD Pipeline Creation.
• Exposure to Batch Processing, Stream Processing, Pub-Sub Architecture & Understanding of SQL & NoSQL databases.
• Detailed knowledge of object-oriented design, Design patterns, data structures, and algorithms.
• Exposure to cloud infrastructures, such as GCP, Azure or AWS

About Impact Analytics

We are a proven leader in enterprise AI SaaS solutions, that combine the art and science of merchandising and supply chain optimization. Our cloud native integrated platform’s planning, pricing & promotion, inventory management, and intelligence suites, are built on the foundation of an innovative AI & ML guided forecasting engine with robust predictive algorithms. Impact Analytics is a trusted partner for top retailers, CPG, and manufacturing firms across the globe, and is empowering them to make smart data-based decisions, unlock process efficiencies, transform their businesses, and achieve unparalleled business benefits. Our products and solutions have had 100% adoption and minimal churn.

Some of our accolades include:

• MLOPS Engineer Ranked 3 times in a row on Financial Times’ list of fastest-growing companies in the Americas as #318 in 2022 , #86 in 2021 and #51 in 2020.

• MLOPS Engineer Ranked 2 times in a row on Deloitte Fast 500 list of fastest-growing companies as #88 in 2020 and #74 in 2019.
• MLOPS Engineer Recognized by Forbes as one of the top 25 Machine Learning firms to watch globally in 2019.
• MLOPS Engineer Ranked 5 times in a row in the list of Inc. 5000 fastest growing companies from 2018 to 2022.