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 DetectionFeature Engineering & Feature SelectionNeural Networks & Deep Learning fundamentalsSolid 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)