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HiLabs is building advanced AI solutions to transform healthcare data at scale. As a Senior Data Scientist, you will solve complex real-world problems using Machine Learning and Big Data technologies.
This role requires strong hands-on experience in building and deploying production-grade ML systems, not just experimentation.
Key Responsibilities
• Build and deploy scalable machine learning models on large datasets
• Apply statistical and ML techniques to solve healthcare problems
• Collaborate with product, engineering, and domain teams
• Optimize model performance and drive business impact
• Mentor and guide junior team members when needed
Required Qualifications
• 3 to 5 years of hands-on experience in Data Science or ML
• Tier 1 institute background, IITs, IISc, or top global universities
• Strong fundamentals in ML, Statistics, and algorithms
• Experience with Big Data tools like Spark or Hadoop
• Proficiency in Python or Scala
• Proven experience in deploying ML models in production
Preferred Qualifications
• Experience in healthcare or data-heavy domains
• Exposure to NLP, Deep Learning, or Text Mining
• Experience in SaaS or product-based companies
Important Note
• Only immediate joiners or candidates with short notice periods will be considered
Why Join HiLabs
• Work on massive real-world healthcare datasets
• Build impactful AI systems at scale
• Join a high-performing and collaborative team
• Strong ownership and fast growth environment
Apply Now
If this role aligns with your experience and you are ready to work on high-impact problems, click Apply Now or share your profile directly.
Job ID: 147211609
Skills:
Machine Learning, Data Modeling, Tensorflow, Predictive Analytics, Tableau, Numpy, Data Visualization, Rest Apis, MLops, Pandas, BigQuery, Power Bi, Pytorch, Data Architecture, Python, Firebase, Google Cloud Platform, Looker Studio, Vertex AI, Scikit-learn
Skills:
data engineering , Machine Learning, Pyspark, Azure Databricks, ELT, Deep Learning, Tensorflow, Nlp, Azure Data Factory, Pytorch, Docker, Kubernetes, Python, Etl, GCP AI ML, AI ML Workflows, scikit-learn, Data Pipelines, anomaly detection, Data Lakehouse Architectures, AWS Sagemaker, Delta Lake
Skills:
data wrangling , Ml, Data Design, Predictive Analytics, Python, ML Ops, R, Dynamic Model Tuning, Ai, Statistics
Skills:
Machine Learning, Scala, Pyspark, Data Mining, Deep Learning, Linux, Databricks, Keras, Matlab, Azure, Python, AWS, Ai, Statistics, SparkR, R, Spark ML
Skills:
Sql, Natural Language Processing, Tableau, Numpy, Machine Learning, Pandas, AWS, Powerbi, Falcon, Python, Azure, Spark, Langchain, T5, Quantization, Llama, Scikit-learn, R Shiny, Jupyter, LORA, RAG, Instruct fine-tuning
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