Hybrid Hyderabad 7–12 yrs Apply by Nov 6, 2026

Data Science

Join Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.

Experience

7–12 yrs

Employment Type

Full-time

Openings

1 position

Apply By

Nov 6, 2026

Required Skills

AI Data ModelingAmazon Simple Storage ServiceGenerative AI

Job Description

2 roles Data Scientist – 1 Bangalore & 1 Hyderabad

Position 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 Position ID: J0826-0434 Employment Type: Full Time 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 o 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 Learning o 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 LLMs o 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 Solving o 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 Deployment 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.

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 o 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 Learning o 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 LLMs o 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 Solving o 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 Deployment

Skills:

AI Data Modeling Amazon Simple Storage Service Generative AI Large Language Model (LLM) Python RESTful (Rest-APIs) Retrieval-Augmented Gen.(RAG) SQL Agentic AI Knowledge management

At a Glance

Work ModeHybrid

EmploymentFull-time

Experience7–12 yrs

Openings1

LocationHyderabad

DeadlineNov 6, 2026

[ Hiring process ]

What to expect

Four stages, typically completed within 2–3 weeks. We respect your time — every stage has a clear purpose and timely feedback.

• STEP 0130 min

  Screening Call

  Introductory conversation with our talent team to understand your background and motivations.

• STEP 0260–90 min

  Technical Round

  Live problem-solving with a senior architect on Salesforce design, integrations, or domain depth.

• STEP 0345 min

  Culture Fit

  Conversation with practice leadership covering working style, ownership, and how you collaborate.

• STEP 04Within 5 days

  Offer

  Formal offer with full compensation breakdown, start date, and onboarding plan.