Data Scientist – AI, ML & Analytics

Job Description

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.

Benefits

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

Requirements

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