Geeks Invention

Experience : 6+ years.

Location : Remote (India).

Job Type : Full-Time, Work From Home (WFH).

About the Role :

We are seeking a skilled Machine Learning Engineer with 6+ years of experience to design, build, and deploy scalable ML solutions.

If you are passionate about solving real-world problems using data, AI, and cutting-edge technologies, we would love to hear from you.

Responsibilities :

- Design, develop, and deploy machine learning models into production environments.

- Work on end-to-end ML pipelines: data collection, preprocessing, model training, evaluation, deployment, and monitoring.

- Collaborate closely with data scientists, software engineers, and product teams.

- Implement scalable algorithms for structured and unstructured data.

- Optimize models for performance, scalability, and maintainability.

- Conduct experiments and A/B testing to validate models.

- Stay updated with the latest trends and advancements in ML and AI.

Requirements :

- 6+ years of professional experience in Machine Learning or AI engineering roles.

- Strong expertise in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.)

- Deep understanding of ML algorithms, statistical modeling, and data structures.

- Experience with cloud platforms (AWS, GCP, or Azure) for deploying models.

- Strong knowledge of APIs, microservices, and distributed systems.

- Familiarity with MLOps practices (CI/CD for ML, model monitoring, etc.) is a plus.

- Excellent problem-solving, communication, and teamwork skills.

Good to Have :

- Experience with NLP, Computer Vision, or Deep Learning projects.

- Knowledge of big data tools (Spark, Hadoop) for large-scale data processing.

- Exposure to containerization technologies like Docker and Kubernetes.

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