Do you love a career where you Experience, Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you.

Learn how we are redefining the meaning of work, and be a part of the team raved by Clients, Job-seekers and Employees.

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If you are a Data Scientist looking for excitement, challenge and stability in your work, then you would be glad to come across this page.

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.

Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution.

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

- Bachelor’s in Math/Stats/CS/Data Science/Engineering; Master’s preferred.

- 5–6 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.

Perks

Visit us at http://alignity.io/careers. Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.

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Clients Testimonial: Click Here

📌 Data Scientist – AI, ML & Analytics (Serilingampalle (M))
🏢 Alignity Solutions
📍 Serilingampalle (M)