
We are looking for an 4-5 years of experienced AI/ML Engineer who can design, develop, and deploy scalable machine learning models and AI-driven solutions. The ideal candidate should have strong expertise in data processing, model building, and production deployment, along with solid programming and problem-solving skills.
Key Responsibilities
- Develop and deploy machine learning, deep learning, and NLP models for various business use cases.
- Build end-to-end ML pipelines including data preprocessing, feature engineering, training, evaluation, and production deployment.
- Optimize model performance and ensure scalability in production environments.
- Work closely with data scientists, product teams, and engineers to translate business requirements into AI solutions.
- Conduct data analysis to identify trends and insights.
- Implement MLOps practices for versioning, monitoring, and automating ML workflows.
- Research and evaluate new AI/ML techniques, tools, and frameworks.
- Document system architecture, model design, and development processes.
Required Skills
- Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras).
- Hands-on experience in building and deploying ML/DL models in production.
- Good understanding of machine learning algorithms, neural networks, NLP, and computer vision.
- Experience with REST APIs, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
- Working knowledge of MLOps tools such as MLflow, Airflow, DVC, or Kubeflow.
- Familiarity with data pipelines and big data technologies (Spark, Hadoop) is a plus.
- Strong analytical skills and ability to work with large datasets.
- Excellent communication and problem-solving abilities.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or related fields.
- Experience in deploying models using cloud services (AWS Sagemaker, GCP Vertex AI, etc.).
- Experience in LLM fine-tuning or generative AI is an added advantage.

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A global industry leader in the manufacturing industry for over 90 years, we are dedicated to keeping the world in motion across a diverse range of sectors, from conveyor systems to container cranes. Our cutting-edge drive technology is a cornerstone of modern mechanical and plant engineering, and we continue to shape the trajectory of this field both now and in the future.
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The workforce of over 21,000 worldwide, including 900 engineers and 600 researchers, as well as a significant number of trainees and development professionals. Achieved sales totalling 4.2 billion Euros, reflecting our substantial impact on the industry. Our commitment extends beyond business, as we actively prioritise inclusion, diversity, fair partnerships, and responsible resource utilization. With a presence in 54 countries, we maintain 17 production facilities and 88 Drive Technology Centers across five continents, ensuring rapid response, short delivery times, and personalized on-site assistance to our customers.
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