Data Scientist – AI, ML & Analytics
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
11-11-2025
Vacancies:
1 Vacancy
Job Summary
We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long-term project. Here are a few details.
Requirements
Role Summary
Build AI/ML solutions for People Analytics Workforce Intelligence HR Automation Employee Experience and Compensation Analytics.
Deliver end-to-end data science projects from discovery to deployment.
Key Responsibilities
Develop predictive models for attrition performance and career progression.
Build recruitment analytics and workforce planning models (headcount skills succession).
Implement NLP-based sentiment analysis and text analytics.
Develop HR chatbots resume screening and document AI pipelines.
Create dashboards ROI models and recommendation systems.
Lead POCs in Generative AI LLMs and emerging HR tech.
Integrate ML capabilities into products and client solutions.
Present insights to leadership and manage client engagements.
Oversee full project lifecycle from requirements to production.
Qualifications
Bachelors in Math/Stats/CS/Data Science/Engineering; Masters preferred.
56 years of experience in Data Science ML AI model deployment and solution delivery.
Core Technical Skills
Python (Advanced): OOP APIs testing documentation production-grade code.
ML & DL: Classical ML TensorFlow/Keras/PyTorch time-series anomaly detection.
NLP: Transformers (BERT/GPT) text classification sentiment analysis NER.
ML Engineering: MLOps model monitoring retraining ML pipelines (FastAPI/Flask).
Big Data: Spark/PySpark large-scale ETL.
Cloud: AWS/Azure/GCP ML services (SageMaker/AzureML/VertexAI) Docker Kubernetes.
Desired Skills
Generative AI LLMs LangChain RAG fine-tuning models.
Computer Vision OCR Document AI.
Recommendation systems and advanced analytics (A/B testing causal inference).
Dashboards (Tableau Power BI Plotly) SQL NoSQL vector DBs.
CI/CD Git workflows scalable deployment.
Domain & Consulting Skills
Experience in HR/People Analytics (preferred).
Strong communication and client-facing skills.
Ability to align AI/ML solutions with business goals.
Innovation mindset with POC/prototype experience.
Benefits
Required Skills:
Python (Advanced) Machine Learning Deep Learning (TensorFlow/Keras/PyTorch) NLP Data Engineering (ETL large-scale datasets) Spark/PySpark MLOps ML Pipelines (FastAPI/Flask) Cloud Platforms (AWS/Azure/GCP) Docker Kubernetes SQL Model Deployment Time-Series Forecasting Anomaly Detection
Required Education:
Bachelors/Masters Degree or equivalent
Company Industry
IT Services and IT Consulting
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
