Lead Data Scientist || Immediate Joiner || Remote || 8+ Years
- Enable Data
- 8 - 13 years
- Hyderabad
- 10 hours ago
- Email to a friend
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Job Description
Role: Lead Data Scientist
Mandate Years of Experience:8+ Years (Individual Contributor)
Location: Permanent Remote Opportunity
Notice period: Immediate to 30 Days
Open roles:2
Open Position: 4
1st Role:
Key Responsibilities
- Lead and mentor a team of data scientists and analysts; provide technical guidance and ensure high-quality deliverables.
- Design, develop, and optimize machine learning models (classification, regression, clustering, forecasting, etc.).
- Build and maintain big data processing pipelines using PySpark, Spark SQL, and distributed computing environments.
- Architect and deploy scalable ML solutions on Azure (Azure Databricks, Azure ML, ADLS, ADF).
- Oversee feature engineering, model lifecycle management, monitoring, and performance tuning.
- Collaborate with cross-functional teams to translate business needs into analytical solutions.
- Present insights, model outputs, and recommendations to technical and business stakeholders.
Required Skills
- 58 years of hands-on experience in data science and ML development.
- Strong hands-on experience in leading complex analytical problem solving using traditional ML architecture (like supervised and unsupervised learning, time series and Deep learning) along with strong team leadership capabilities.
- Expertise in Python, PySpark, scikitlearn, XGBoost, and related ML libraries.
- Strong experience with Azure data and ML services.
- Solid understanding of distributed computing and performance optimization using Spark.
- Proven ability to lead technical teams, conduct code reviews, mentor juniors, and manage projectexecution.
- Excellent communication, stakeholder management, and problemsolving skills.
- Experience with MLOps practices and CI/CD pipelines.
2nd Role:
Data Science lead (NLP, Deep Learning, GenAI):
Key Responsibilities
- Develop endtoend NLP and GenAI solutions, including text classification, summarization, RAG systems, conversational AI, and document intelligence pipelines.
- Build, finetune, and evaluate LLM-based models using transformer architectures (BERT, GPT, T5, LLaMA, etc.).
- Design and implement custom NLP workflows, embeddings, semantic search, vector databases, and prompt engineering strategies.
- Develop scalable advanced ML models leveraging deep learning, traditional ML, and hybrid architectures.
- Deploy models and AI apps using modern MLOps practices across cloud environments (Azure preferred).
- Collaborate closely with product, engineering, and business teams to translate requirements into AI-driven solutions.
- Monitor model performance, conduct error analysis, and continuously optimize pipelines.
Required Skills
- 8+ years of experience in data science with deep handson expertise in NLP and Generative AI.
- Proficient in transformer models, embeddings, and modern NLP libraries (Hugging Face, spaCy, NLTK).
- Strong Python skills with experience in PyTorch/TensorFlow for advanced model development.
- Practical experience building RAG architectures, vector search, and prompt optimization.
- Solid understanding of MLOps, model deployment, monitoring, and productionization.
- Strong problemsolving abilities with excellent communication and stakeholder engagement skills.
Interested candidates can share your resume to Pa********r@en*******a.com for a quick response
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: Enable DataLocation(s): Hyderabad
Keyskills: Generative Ai Natural Language Processing Statistical Modeling Machine Learning Python Predictive Modeling Data Science Artificial Intelligence Deep Learning Ml
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