Job Description
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 Rigoro Strong grasp of descriptive and inferential statistics (hypothesis testing, A/B testing, regression, probability theory).o Understanding of bias-variance trade-off, regularization, overfitting, and model validation techniques.Machine Learning & Deep Learningo Hands-on experience with a range of algorithms: decision trees, ensemble models, SVMs, neural networks, clustering, and NLP techniques.o Proficiency in deep learning architectures such as CNNs, RNNs, Transformers, and LSTMs.Generative AI & LLMso Conceptual and practical knowledge of Large Language Models (e.g., GPT, BERT, LLaMA), fine-tuning, embeddings, and prompt engineering.o Familiarity with generative modeling approaches (e.g., VAEs, GANs, diffusion models) is a strong plus.Programming & Problem Solvingo Advanced proficiency in Python with the ability to write clean, modular, and testable code.o Experience with libraries such as NumPy, pandas, matplotlib, scikit-learn, PyTorch, TensorFlow, and HuggingFace.o Strong problem-solving skills with the ability to tackle coding challenges independently and efficiently.Tooling & Deploymento Experience with cloud platforms (AWS, GCP, Azure), ML pipelines (MLflow, Airflow, Kubeflow), and containerization (Docker, Kubernetes).o Version control (Git) and collaborative development practices. Required qualifications to be successful in this role:Must to have skill:
Statistical and Mathematical Rigoro Strong grasp of descriptive and inferential statistics (hypothesis testing, A/B testing, regression, probability theory).o Understanding of bias-variance trade-off, regularization, overfitting, and model validation techniques.Machine Learning & Deep Learningo Hands-on experience with a range of algorithms: decision trees, ensemble models, SVMs, neural networks, clustering, and NLP techniques.o Proficiency in deep learning architectures such as CNNs, RNNs, Transformers, and LSTMs.Generative AI & LLMso Conceptual and practical knowledge of Large Language Models (e.g., GPT, BERT, LLaMA), fine-tuning, embeddings, and prompt engineering.o Familiarity with generative modeling approaches (e.g., VAEs, GANs, diffusion models) is a strong plus.Programming & Problem Solvingo Advanced proficiency in Python with the ability to write clean, modular, and testable code.o Experience with libraries such as NumPy, pandas, matplotlib, scikit-learn, PyTorch, TensorFlow, and HuggingFace.o Strong problem-solving skills with the ability to tackle coding challenges independently and efficiently.Tooling & DeploymentGood to have skill:o Experience with cloud platforms (AWS, GCP, Azure), ML pipelines (MLflow, Airflow, Kubeflow), and containerization (Docker, Kubernetes).o Version control (Git) and collaborative development practices.Skills:
- English
- Data Analysis
- Python
- Snowflake
- SQLite
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: CGI
Location(s): Hyderabad
Keyskills:
Data Science
kubernetes
python
sqlite
airflow
neural networks
ai
numpy
llm
machine learning
docker
pandas
deep learning
tensorflow
git
nlp
regression
matplotlib
pytorch
data scientist
software engineer
clustering
ml engineer
