Machine Learning (ML)Job Description – Machine Learning Expert
Role: Machine Learning Expert
Experience: 6+ Years
Location: Bangalore
Education: B.Tech Degree (Computer Science / Information Technology / Data Science / related fields)
Work Mode: Hybrid – 3 Days Office + 3 Days Work from Home
Interview Mode: Candidate must be willing to attend Face-to-Face (F2F) L2 round at Bangalore location
About the Role
We are seeking a highly skilled Machine Learning Expert with a strong background in building, training, and deploying AI/ML models. The ideal candidate will bring hands-on expertise in designing intelligent systems that leverage advanced algorithms, deep learning, and data-driven insights to solve complex business challenges.
Key Responsibilities
- Develop and implement machine learning and deep learning models for real-world business use cases.
- Perform data cleaning, preprocessing, feature engineering, and model optimization.
- Research, design, and apply state-of-the-art ML techniques across domains such as NLP, Computer Vision, or Predictive Analytics.
- Collaborate with data engineers and software developers to ensure seamless end-to-end ML solution deployment.
- Deploy ML models to production environments and monitor performance for scalability and accuracy.
- Stay updated with the latest advancements in Artificial Intelligence and Machine Learning frameworks.
Required Skills & Qualifications
- B.Tech degree in Computer Science, Information Technology, Data Science, or related discipline.
- 6+ years of hands-on experience in Machine Learning, Artificial Intelligence, and Deep Learning.
- Strong expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
- Solid foundation in mathematics, statistics, algorithms, and probability.
- Experience in working with NLP, Computer Vision, Recommendation Systems, or Predictive Modeling.
- Knowledge of cloud platforms (AWS / GCP / Azure) for model deployment.
- Familiarity with MLOps tools and practices for lifecycle management.
- Excellent problem-solving skills and the ability to work in a collaborative environment.
Preferred Skills (Good to Have)
- Experience with Big Data frameworks (Hadoop, Spark).
- Exposure to Generative AI, LLMs (Large Language Models), and advanced AI research.
- Contributions to open-source projects, publications, or patents in AI/ML.
Work Mode & Interview Process
- Hybrid Model: 3 days in office (Bangalore) + 3 days remote.
- Interview: Candidate must be available for Face-to-Face L2 interview at Bangalore location.
Shubham Vishwakarma
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