Data Science

Techila Global

Hyderabad

Ibrido

INR 2.500.000 - 4.000.000

Tempo pieno

3 giorni fa
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Descrizione del lavoro

Techila Global is seeking a Senior Data Scientist in Hyderabad to design, build, and deploy scalable AI/ML solutions. The role emphasizes Generative AI and LLM-based approaches, with collaboration across product teams and data engineers. Strong Python and ML framework experience are essential.

The position is hybrid, requiring 7–12 years of experience, and offers opportunities to mentor teammates and drive cutting-edge AI initiatives in a global context.

Competenze

  • Strong foundation in statistics and ML/DL techniques.
  • Experience applying ML to real-world problems.
  • Proficiency with Python and ML frameworks.
  • Experience with Generative AI and LLM-based solutions.
  • Ability to work with cross-functional teams and mentor juniors.

Mansioni

  • Design, build, and validate ML models with focus on robustness and scalability.
  • Lead development and evaluation of models using modern ML frameworks.
  • Drive adoption of Generative AI and LLM-based solutions with prompt engineering.
  • Collaborate with data engineers, product teams, and stakeholders to translate problems into technical solutions.
  • Mentor junior data scientists and contribute to code reviews and documentation.

Conoscenze

Python
Machine Learning
Deep Learning
Generative AI
LLMs
NLP
Data Modeling
Problem Solving
Cloud Platforms

Formazione

Bachelor’s degree in Computer Science or related field

Strumenti

PyTorch
TensorFlow
scikit-learn
NumPy
Pandas
Docker
Kubernetes
AWS
GCP
Azure

Descrizione del lavoro

Hybrid Hyderabad 7–12 yrs Apply by Nov 6, 2026Data ScienceJoin Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.Experience7–12 yrsEmployment TypeFull-timeOpenings1 positionApply ByNov 6, 2026 Required SkillsAI Data ModelingAmazon Simple Storage ServiceGenerative AIJob Description2 roles Data Scientist – 1 Bangalore & 1 HyderabadPosition 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 DeploymentSkills: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 managementAt a GlanceWork ModeHybridEmploymentFull-timeExperience7–12 yrsOpenings1LocationHyderabadDeadlineNov 6, 2026[ Hiring process ]What to expectFour stages, typically completed within 2–3 weeks. We respect your time — every stage has a clear purpose and timely feedback.STEP 0130 minScreening CallIntroductory conversation with our talent team to understand your background and motivations.STEP 0260–90 minTechnical RoundLive problem-solving with a senior architect on Salesforce design, integrations, or domain depth.STEP 0345 minCulture FitConversation with practice leadership covering working style, ownership, and how you collaborate.STEP 04Within 5 daysOfferFormal offer with full compensation breakdown, start date, and onboarding plan.
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