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Data Scientist - AI, Machine Learning & Analytics Job Opening In Hyderabad – Now Hiring Alignity Solutions


Job description

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 , and be a part of the team raved by Clients, Job-seekers and Employees.
  •  

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

Requirements

Key Responsibilities

  • Build predictive models for attrition, performance, and career progression using advanced machine learning techniques.HCForward_JD_Data-Scientist_5yrsExp.docx

  • Develop analytics for recruitment optimization, forecasting, skills gap analysis, and workforce planning.HCForward_JD_Data-Scientist_5yrsExp.docx

  • Implement NLP solutions for employee sentiment, automated resume screening, and document AI for HR processes.HCForward_JD_Data-Scientist_5yrsExp.docx

  • Design executive dashboards and recommendation systems linked to HR metrics, retention, and learning paths.HCForward_JD_Data-Scientist_5yrsExp.docx

  • Lead POCs for emerging HR tech (Generative AI, AR/VR in training) and develop reusable ML assets for the product platform.HCForward_JD_Data-Scientist_5yrsExp.docx

  • Collaborate with business stakeholders to define requirements and translate them to technical solutions; present findings to leadership; manage complete AI/ML project lifecycles.HCForward_JD_Data-Scientist_5yrsExp.docx

Required Qualifications

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or related engineering discipline (Master’s preferred).HCForward_JD_Data-Scientist_5yrsExp.docx

  • 5–6 years’ professional experience in data science, machine learning, and AI, with end-to-end delivery from POC to production.HCForward_JD_Data-Scientist_5yrsExp.docx

  • Strong programming skills in Python (including OOP, API development, and best practices for linting/testing).HCForward_JD_Data-Scientist_5yrsExp.docx

  • Advanced experience with classical and deep learning algorithms, time series, model evaluation, and optimization.HCForward_JD_Data-Scientist_5yrsExp.docx

  • Experience deploying solutions on at least one cloud platform (AWS, Azure, or GCP), familiar with containerization and serverless architectures.HCForward_JD_Data-Scientist_5yrsExp.docx

Technical Competencies

  • Strong hands-on skills in:

    • Machine learning frameworks (TensorFlow, Keras, PyTorch).

    • Data engineering, including large-scale datasets and ETL pipelines.

    • Modern NLP (transformers, BERT, GPT), text analytics, Hugging Face, NLTK, and spaCy.

    • MLOps, scalable ML pipeline and API development, distributed computing (Spark/PySpark).

    • Generative AI (LLMs, LangChain, prompt engineering), document AI, computer vision, and recommendation systems.HCForward_JD_Data-Scientist_5yrsExp.docx

Desired Skills

  • Familiarity with BI/dashboarding tools (Tableau, Power BI, Plotly), version control and CI/CD, and relational/NoSQL/vector databases.HCForward_JD_Data-Scientist_5yrsExp.docx

  • Specializations in HR analytics or workforce planning, and/or parallel experience in financial services, healthcare, or retail.HCForward_JD_Data-Scientist_5yrsExp.docx

Business & Consulting Skills

  • Excellent written and verbal communication; able to explain complex technical concepts to non-technical stakeholders and senior leaders.HCForward_JD_Data-Scientist_5yrsExp.docx

  • Aptitude for innovation, rapid prototyping, and contribution to professional technical communities.HCForward_JD_Data-Scientist_5yrsExp.docx

  • Business acumen to interpret metrics, KPIs, and identify opportunities for AI/ML in HR processes.HCForward_JD_Data-Scientist_5yrsExp.docx

Additional Requirements

  • Experience leading small teams (2–4 members) is a plus.

  • Willingness to travel as required by client engagements.HCForward_JD_Data-Scientist_5yrsExp.docx



Benefits

Visit us at .

Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.


CEO Message:
 
Clients Testimonial: 


Requirements
Python Programming, Machine Learning, NLP (Natural Language Processing), Cloud Platforms (AWS/Azure/GCP), Data Engineering (ETL, Large-Scale Datasets).

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Unlock Your Data Scientist Potential: Insight & Career Growth Guide


Real-time Data Scientist Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Scientist in Hyderabad, India, highlighting market share and opportunities for professionals in Data Scientist roles.

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Are You Looking for Data Scientist AI, Machine Learning & Analytics Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Alignity Solutions adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Hyderabad. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Interview Tips for Data Scientist AI, Machine Learning & Analytics Job Success

Alignity Solutions interview tips for Data Scientist   AI, Machine Learning & Analytics

Here are some tips to help you prepare for and ace your Data Scientist AI, Machine Learning & Analytics job interview:

Before the Interview:

Research: Learn about the Alignity Solutions's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Final Thought:

To prepare for your Data Scientist AI, Machine Learning & Analytics interview at Alignity Solutions, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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