
AI/ML Engineer
1 day ago
Job Title: AI/ML Engineer (4+ Years Experience)
Job Summary:
We are looking for an AI/ML Engineer with 4 years of experience in designing, developing, and deploying machine learning and artificial intelligence solutions. The right candidate will have a solid background in algorithms, data pipelines, and model optimization, along with practical experience in production-level ML systems.
Key Responsibilities:
- Design, build, and deploy scalable machine learning models and AI solutions.
- Work with various teams to gather requirements, understand business challenges, and provide AI-driven insights.
- Preprocess, clean, and analyze large datasets to create reliable models.
- Develop and implement deep learning and NLP-based models for real-world applications.
- Improve model performance and ensure efficient use in production environments.
- Maintain, monitor, and enhance existing ML models.
- Collaborate with data engineers to develop data pipelines and MLOps workflows.
- Research and evaluate new AI/ML frameworks, tools, and techniques to improve solutions.
- Document technical designs, workflows, and processes.
Required Skills & Qualifications:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 4+ years of experience as an AI/ML Engineer or in a similar role.
- Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
- Practical experience with ML algorithms (supervised, unsupervised, reinforcement learning, NLP, computer vision).
- Experience with deep learning architectures (CNNs, RNNs, Transformers, LSTMs, GANs).
- Proficiency in handling large datasets using SQL, Spark, or Hadoop.
- Understanding of MLOps practices (Docker, Kubernetes, MLflow, Airflow, or Kubeflow).
- Familiarity with cloud platforms (AWS, Azure, GCP) for ML/AI services.
- Strong problem-solving and analytical thinking abilities.
- Good communication and teamwork skills.
Preferred Qualifications (Good to Have):
- Experience with LLMs (Large Language Models) and fine-tuning.
- Knowledge of vector databases and AI search technologies.
- Exposure to edge AI or embedded ML.
- Experience in deploying ML models through REST APIs or microservices.
- Published research papers or contributions to open-source ML projects.
Interested candidate, share your cv at
Contact us at
Job Type: Full-time
Pay: ₹1,200, ₹2,000,000.00 per year
Benefits:
- Provident Fund
Work Location: In person
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