Tredence
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Bengaluru · Hybrid · 5-8 Yrs · 21 hours ago
Business consulting · 1001 to 5000 Employees · San Jose, US
As with every marathon, the last mile is the toughest. It is here that enterprises lose the strength and resolve to take analytics beyond insight generation and use them to generate value. That’s where we saw a gap waiting to be filled - in activating data and operationalizing insights for real, tangible business impact. We’re focused on bridging the gap between insights delivery and value realization, partnering with our clients to help them cross the last-mile gap in analytics. This DNA pushes our ecosystem to go beyond possible, helping our clients re-think their limitations and overcome their norms of ‘possible’.
Hiring: Engineering
What employees say
+ Enthusiastic and ambitious work culture. Tredence enables everyone with the tools, means and the backing one needs to succeed and grow.
− As a fast growing organization, baseline expectations would be to learn and adapt fast, be on the toes and fail fast. Not a con but the rapid pace in work is not for all.
More reviews on the company profile.
Interview experience · Data Engineer
It was very easy with basic dsa in your preferred language and basic sql concepts like joins. Prepare basic dsa and sql it will help to get on interview process
Very_easy difficulty · Chennai · 440 reports
More interview insightsJob description
Overview
Senior Data Scientist/Data Science Manager - Generative AI & ML
Responsibilities
- Develop and fine-tune Generative AI models using LLMs (e.g., GPT, LLaMA, Claude, PaLM) for tasks like summarization, content generation, question answering, semantic search, etc.
- Build end-to-end GenAI-powered solutions including prompt engineering, model training/fine-tuning, evaluation, and deployment.
- Collaborate with product, engineering, and business stakeholders to identify AI prospects and prototype solutions.
- Conduct experiments, evaluate model performance, and optimize for accuracy, latency, and relevance.
- Stay up to date with the latest research and developments in the GenAI and LLM space.
Qualifications
- 5+ years of experience in Data Science or AI roles, with 2+ years in GenAI or LLMs.
- Solid Python skills and experience with transformers, Hugging Face, PyTorch, or TensorFlow.
- Deep understanding of NLP, language modeling, and generative techniques.
- Hands-on experience with LangChain, LlamaIndex, or similar GenAI orchestration frameworks.
- Working knowledge of vector stores, embedding models, and retrieval techniques.
- Familiarity with MLOps tools and best practices is a plus.
- Background in chatbot development, co-pilot solutions, or enterprise GenAI applications.
- Publications or contributions to open-source projects in the GenAI space are a plus. .
Nice to have
- Masters or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
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Job application FAQ
Last updated 19 September 2026
- How do I apply for Senior/lead Data Scientist Gen Ai & Classical Machine Learning Bengaluru at Tredence?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Tredence may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior/lead Data Scientist Gen Ai & Classical Machine Learning Bengaluru remote or on-site in Bengaluru, Karnataka?
- This listing is marked hybrid with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Senior/lead Data Scientist Gen Ai & Classical Machine Learning Bengaluru role at Tredence?
- This is a lead Senior/lead Data Scientist Gen Ai & Classical Machine Learning Bengaluru role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.