Data Science (Senior Software Engineer)

Vlink; Hyderabad; Hybrid; INR 1,800,000 - 2,800,000; Full time

Job summary

Vlink in Hyderabad is seeking a Senior Data Scientist to design, develop, and deploy scalable AI/ML solutions. You will work with cross-functional teams to translate business problems into data-driven models, including Generative AI and NLP projects.

Strong analytical thinking and deep technical expertise are required to deliver real-world impact. You will collaborate across data, product, and engineering teams, mentoring juniors and contributing to model documentation, reviews, and governance

Qualifications

• Bachelor's or higher in CS/Math/Statistics or related field.

Responsibilities

• Design, build, and validate ML models with focus on robustness and explainability.
• Apply statistical methods to large datasets to derive insights.
• Lead development using ML frameworks like PyTorch/TensorFlow.
• Drive Generative AI and LLM adoption with prompt engineering.
• Collaborate with data engineers, product teams and stakeholders.

Skills

Python

ML

Deep Learning

NLP

Statistics

Education

Bachelor's in CS/Math/Stats

Tools

PyTorch

TensorFlow

scikit-learn

MLflow

Airflow

Docker

Kubernetes

Job description

Job Title: Data Science
Position: Senior Software Engineer
Experience: 7 - 12 Years
Category: Software Development/ Engineering
Shift: Hybrid - (1PM to 10 PM Shift)
Main location: Hyderabad
Employment Type: Full Time

Must-have skills

Python, Machine Learning, Deep Learning, Generative AI, LLM, NLP, Statistics, PyTorch or TensorFlow, Scikit-learn, NumPy, Pandas, Prompt Engineering, Embeddings, LLM Fine-tuning.

Preferred / Additional skills

CNN, RNN, LSTM, Transformers, Regression, A/B Testing, Hypothesis Testing, MLflow, Airflow, Kubeflow, AWS/Azure/GCP, Docker, Kubernetes, Git, GANs, VAEs, Diffusion Models.

Education Qualification

Bachelor's degree in Computer Science or related field or higher with minimum 6 years of relevant experience.

Position Description: Were looking for a Senior Data Scientist with strong analytical thinking, deep technical expertise, and a proven ability to apply machine learning to solve real-world problems. The candidate should have 4+ years of high-quality proven experience in AI/ML working. Youll work with cross-functional teams to design, develop, and deploy scalable AI/ML solutions, including Generative AI, predictive modeling, and recommendation systems.

Your future duties and responsibilities

• Design, build, and validate machine learning and deep learning models, ensuring robustness, scalability, and explainability.
• Apply strong statistical foundations to analyze large datasets and derive actionable insights.
• Lead the development and evaluation of models using modern ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
• Drive the adoption of Generative AI and LLM-based solutions, ensuring model alignment, prompt engineering, and ethical AI practices.
• Collaborate with data engineers, product teams, and business stakeholders to transform business problems into technical solutions.
• Contribute to code reviews, model documentation, and mentorship of junior data scientists.
• Stay abreast of the latest research and translate cutting-edge methods into production.

• Statistical and Mathematical Rigor
  Strong grasp of descriptive and inferential statistics (hypothesis testing, A/B testing, regression, probability theory).
  Understanding of bias-variance trade-off, regularization, overfitting, and model validation techniques.
• Machine Learning & Deep Learning
  Hands-on experience with a range of algorithms: decision trees, ensemble models, SVMs, neural networks, clustering, and NLP techniques.
  Proficiency in deep learning architectures such as CNNs, RNNs, Transformers, and LSTMs.
• Generative AI & LLMs
  Conceptual and practical knowledge of Large Language Models (e.g., GPT, BERT, LLaMA), fine-tuning, embeddings, and prompt engineering.
  Familiarity with generative modeling approaches (e.g., VAEs, GANs, diffusion models) is a strong plus.
• Programming & Problem Solving
  Advanced proficiency in Python with the ability to write clean, modular, and testable code.
  Experience with libraries such as NumPy, pandas, matplotlib, scikit-learn, PyTorch, TensorFlow, and HuggingFace.
  Strong problem-solving skills with the ability to tackle coding challenges independently and efficiently.
• Tooling & Deployment
  Experience with cloud platforms (AWS, GCP, Azure), ML pipelines (MLflow, Airflow, Kubeflow), and containerization (Docker, Kubernetes).
  Version control (Git) and collaborative development practices.

Required qualifications to be successful in this role

Bachelors or masters degree in computer science, Statistics, Applied Mathematics, or a related field.

Statistical and Mathematical Rigor

• Strong grasp of descriptive and inferential statistics (hypothesis testing, A/B testing, regression, probability theory).
• Understanding of bias-variance trade-off, regularization, overfitting, and model validation techniques.

Machine Learning & Deep Learning

• Hands-on experience with a range of algorithms: decision trees, ensemble models, SVMs, neural networks, clustering, and NLP techniques.
• Proficiency in deep learning architectures such as CNNs, RNNs, Transformers, and LSTMs.

Generative AI & LLMs

• Conceptual and practical knowledge of Large Language Models (e.g., GPT, BERT, LLaMA), fine-tuning, embeddings, and prompt engineering.
• Familiarity with generative modeling approaches (e.g., VAEs, GANs, diffusion models) is a strong plus.

Programming & Problem Solving

• Advanced proficiency in Python with the ability to write clean, modular, and testable code.
• Experience with libraries such as NumPy, pandas, matplotlib, scikit-learn, PyTorch, TensorFlow, and HuggingFace.
• Strong problem-solving skills with the ability to tackle coding challenges independently and efficiently.

Tooling & Deployment

Tooling & Deployment