Posted:2 days ago| Platform: Naukri logo

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Job Description

About Cognify Analytics
Cognify Analytics was founded by a team of seasoned ex-Google and Meta professionals product managers, operations leaders, data scientists, cloud architects, and software engineers with a shared mission: to democratize access to world-class analytics and AI. We believe that every organization, regardless of size or industry, deserves the power to turn data into a strategic advantage. Since our inception, we ve partnered with companies across the globe to transform raw data into actionable insights, optimize cloud operations, and deploy cutting-edge machine learning solutions into real-world production environments.
We are looking for a highly skilled and motivated Senior Machine Learning Engineer to join our growing team. You will play a critical role in developing and deploying machine learning models that directly impact business outcomes for our clients. This is an opportunity to work at the intersection of innovative technology and real-world application solving complex problems with elegant, scalable solutions.
What You ll Do
  • Design and build scalable machine learning models to solve practical business challenges.
  • Collaborate closely with data scientists, data engineers, and product teams to translate business needs into technical solutions.
  • Analyze and preprocess large datasets for training and evaluation purposes.
  • Continuously evaluate and improve model performance through experimentation and tuning.
  • Deploy models into production using frameworks like Flask, FastAPI, or Docker.
  • Ensure scalability, reliability, and maintainability of ML systems in production.
  • Monitor model performance and address issues proactively.
  • Stay up to date with the latest research, tools, and best practices in machine learning and AI.
What We re Looking For
  • Bachelor s or Master s degree in Computer Science, Engineering, Mathematics, or a related field.
  • Proven experience in Python and core machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost.
  • Strong understanding of ML algorithms, statistical modeling, and performance optimization techniques.
  • Experience with data analysis and manipulation using tools like Pandas and NumPy.
  • Proficiency with version control systems (e.g., Git) and collaborative coding environments.
  • Hands-on experience deploying ML models via REST APIs and containerized services (e.g., Docker, Kubernetes).
  • Familiarity with cloud platforms such as AWS, GCP, or Azure.
  • Bonus: Experience with SQL and modern data pipeline tools (e.g., Airflow, dbt, Spark).
Why Join Us?
  • Work alongside top-tier talent from Google, Meta, and other leading tech companies.
  • Be part of a fast-growing company with a startup spirit and a global impact.
  • Tackle meaningful challenges across diverse industries and domains.
  • Enjoy a flexible, remote-friendly work environment with competitive compensation.

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