Data Science Manager
- Uplers
- 8 - 13 years
- Hyderabad
- 14 days ago
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Job Description
Manager Data ScienceExperience: 8-14 Years Exp
Salary: 45 LPA to 50 LPA
Preferred Notice Period: Within 30 Days
Opportunity Type: Office (Hyderabad)
Placement Type: Permanent(*Note: This is a requirement for one of Uplers' Clients)Must have skills: Python, LLM, GenAI, Tensorflow, PyTorch, HuggingFace, NLPBlend360 (One of Uplers' Clients) is looking for:
About Blend360:
Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology, and analytics. The company has two divisions: Data Science Solutions. We work at the intersection of data, technology, and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.
Job Description
We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making.
The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities1. Conversational AI & Call Transcription Development
Develop and fine-tune automatic speech recognition (ASR) models
Implement language model fine-tuning for industry-specific language.
Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations.
2. NLP & Generative AI Applications
Build summarization models to extract key insights from conversations.
Implement Named Entity Recognition (NER) to identify key topics.
Apply LLMs for conversation analytics and context-aware recommendations.
Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge.
3. Sentiment Analysis & Decision Support
Develop sentiment and intent classification models.
Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data.
4. AI Deployment & Scalability
Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing.
Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving.
Implement MLOps workflows to continuously improve model performance with new call data.
Qualifications
Technical Skills
Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI.
Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text.
Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
Experience with LLM fine-tuning, RAG-based architectures, and LangChain.
Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval.
Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask.
Soft Skills
Ability to translate AI insights into business impact.
Strong problem-solving skills and ability to work in a fast-paced AI-first environment.
Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders.
Preferred Qualifications
Experience in healthcare, pharma, or life sciences NLP use cases.
Background in knowledge graphs, prompt engineering, and multimodal AI.
Experience with Reinforcement Learning (RLHF) for improving conversation models. Interview Process
Step 1: Online Assessment
Step 2: Technical Screenings 1:
1 Technical Screening with Technical Panel (45 mins)
1 Technical round with Senior Technical Panel (45 mins)
Step 3: Technical Interviews 2 :
1 Technical rounds of Interview with Reporting Manager (45 mins)
Agenda: To assess on technical parameters giving white board programming, problem solutioning and story telling
1 Technical rounds of Interview with Project Manager (45 mins)
To assess on overall fitment
Step 4: 1 Project Review (45 mins):
30 mins of presentation any chosen related topic with minimum 6 - 8 slides
10 - 15 mins Question and Answers by panels
All interviewers will be part of the discussion.
Step 5 : Client Interview (45 mins)How to apply for this opportunity:
Easy 3 Step Process:
1. Click On Apply and register or log in to our portal
2.Upload updated Resume & complete the Screening Form
3. Increase your chances of getting shortlisted & meet the client for the Interview!About Uplers:
Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.
(Note: There are many more opportunities apart from this on the portal.)So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Manager - Data ScienceEmployement Type: Full timeContact Details:
Company: UplersLocation(s): Hyderabad
Keyskills: Natural Language Processing Python Pytorch Tensorflow Huggingface Generative Ai LLM
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