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Data Scientist - Machine Learning

Data Scientist - Machine Learning

MANOJAVAM TECHNOLOGIES PRIVATE LIMITEDHyderabad
13 days ago
Job description

Job Title : Machine Learning Engineer / Data Scientist

Location : Hyderabad (Onsite / Hybrid specify)

Experience : 4+ years

Employment Type : Full-Time

About the Role :

We are seeking a highly skilled Machine Learning Engineer / Data Scientist with a strong background in Python, modern ML techniques, and deep learning frameworks. You will work on cutting-edge projects involving LLMs, transformers, and open-source ecosystems (HuggingFace) while building scalable, production-grade ML pipelines.

This is an opportunity to work with large datasets, complex algorithms, and real-world AI applications that directly impact business outcomes.

Key Responsibilities :

  • Design, develop, and deploy machine learning models for real-world use cases.
  • Build, optimize, and maintain scalable ML workflows and production-ready pipelines.
  • Apply data science techniques (classification, clustering, anomaly detection, feature engineering, neural networks) to derive actionable insights.
  • Collaborate with cross-functional teams to integrate ML solutions into products and services.
  • Take ownership of delivering features, enhancements, and optimizations within defined timelines.
  • Keep up to date with advancements in LLMs, transformers, and generative AI.

Must-Have Qualifications :

  • Strong programming skills with Python (production-level coding experience).
  • Hands-on expertise with LLMs, transformers, and HuggingFace models.
  • Proven experience in machine learning & data science techniques :
  • Classification, Clustering, Anomaly Detection
  • Feature Engineering & Feature Selection
  • Neural Networks & Deep Learning fundamentals
  • Solid understanding of classic ML algorithms (SVM, Random Forest, Naive Bayes, KNN, etc.).
  • Hands-on experience with PyTorch for deep learning.
  • Proficiency in data science libraries : Scikit-learn, NumPy, Pandas, Polars.
  • Strong analytical, problem-solving, and communication skills.
  • Good to Have (Bonus Skills) :

  • Experience with MLOps (CI / CD for ML, model deployment, monitoring).
  • Knowledge of cloud platforms (AWS, GCP, Azure) for ML workloads.
  • Familiarity with vector databases, embeddings, and RAG (Retrieval-Augmented Generation).
  • Exposure to large-scale data engineering pipelines and optimization techniques.
  • Why Join Us?

  • Work on real-world AI & ML projects impacting large-scale platforms.
  • Collaborate with a passionate team of AI / ML researchers and engineers.
  • Opportunity to explore cutting-edge technologies like Generative AI & advanced NLP.
  • Competitive compensation with flexible and dynamic work culture.
  • (ref : hirist.tech)

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