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Machine Learning Expert
Hashone Careers
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Machine Learning Expert

at Hashone Careers

6 - 10 yrs
₹2L - ₹20L / yr
Bengaluru (Bangalore)
Skills
skill iconMachine Learning (ML)
MLOps

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.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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Full Stack Developer - Averlon
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