The posting
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Company Overview
Company deArtificial Intelligence & Machine Learning
Cognitive AI Applications & Chatbots
Full stack development & product Management (Web, Mobile): Hardcore Full
Stack Data Scientist with end to end single-handed multi hat role to work on
building an AI Conversation Voice Chatbot, NLP, NLU, Multilingual, Speech
Recognition, Text to Speech and Speech to Text Conversion, Audio/Video
analytics, Facial Recognition, Eye Tracking, ANN, CNN, RNN, deep learning
to solve the specific complex problem in Auto sector as single-handed doer or
in a small Data Science Team with full end to end ownership of delivery
Machine Learning - Classification and prediction for intuitive results at scale.
Strong experience in Deep Learning Algorithms. Needs to have statistical,
mathematical, predictive modeling as well as business strategy skills to build
the algorithms necessary to ask the right questions and find the right answers.
Statistical Data Modelling, Big Data
Recommend appropriate searching and indexing methods
Use big data tools and platforms to access data and run models
Big Data: Remove constraints on volume, variety and velocity of data
Data Modelling: Identifying factors and relationships to make predictions for
competitive advantage
Data Management and Insight
Data sourcing, integration, scaling and optimization. Ensure provenance and
Clean data through statistical approaches, such as identifying outliers and
transform data into machine-readable formats
Optimize performance of database queries/schema (basics such as adding
indices etc.), processing unstructured data (text, voice, image)
Cleaning data, formatting data, Having the ability to query databases &
perform statistical analysis, build AI Data Modelling, validating the AI Model
and deployment
Business Understanding and Project Management
Leading from front- stakeholder management, cross function collaboration,
End to End delivery.
Use subject matter knowledge in the areas of business operations (HR,
Manufacturing, Supply Chain, Sales & Marketing etc.) in order to
understanding business requirement effectively. Manages projects effectively
ensuring objectives, deadlines and budgets are met by team members under
own control.
Proven track record with leading high stake project, managing and building
highly dynamic requirements, and delivery high quality solutions.
General Experience
End to end accountability from requirement elicitation to industrialization
5-10 years of strong experience in applied AI ML & Deep Learning Data
Science
Hands-on full-stack Data Scientist / Sr. Data Scientist.
Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-5
good Applied AI-oriented Applied Research Projects & Industry Projects
applications
Snowflake knowledge would be an added advantage
Gen AI Experience
Design, develop, and deploy generative AI models
Leveraging your expertise in Generative AI, Python, Machine Learning, Data
Science, and Statistics to develop cutting-edge solutions for our clients.
Utilizing NLP techniques, LangChain, LangGraph and LLM's to develop
conversational chatbots and language models tailored to our stakeholders
needs.
Collaborating with cross-functional teams to design and implement advanced
AI models and algorithms.
Providing technical expertise and thought leadership in the field of Generative
AI and NLP to guide clients in adopting AI-driven solutions.
Conducting data analysis, preprocessing, and modeling to extract valuable
insights and drive data-driven decision-making.
Staying up to date with the latest advancements in AI technologies,
frameworks, and tools, and proactively learning and adopting new
technologies to enhance our offerings.
Demonstrating a strong understanding of cloud platforms, particularly Azure,
for deploying AI applications.
Expert in relevant concepts (eg transformer model architectures, prompt
engineering, model fine tuning, retrieval augmented generation architectures)
and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha,
Hugging Face etc as well as Open Source).
Education Qualification
Graduation / Post Graduation in Quantitative Area - B.Tech / M.Tech in CSE /
Electrical / Electronics & Communication/ Maths & Computing /Statistics /
Economics /BioTech/BioStat / Clinical Engineering in Data Science / Machine
Learning from Top-rated University.
Confident and self-secure as they more often than not will have to deal with
situations where there is a lot unknown.
Good knowledge & experience in Artificial Neural Network (ANN), AI
conversational Chatbot & Needs to be able to write the required Algorithm and
coding programming. Preferably in different programming languages such as
Python (highly fluent), Tensor Flow, Keras, Azure (ML and DL), Numpy,
Pytorch.
Full stack development of Rest APIs and Integration
Familiar with AI disciplines in Natural Language Processing, Machine
learning, Conceptual modelling, Statistical analysis, Predictive modelling,
Hypothesis testing. -experience working on building an AI Conversation Voice
Chatbot, NLP, NLU, Multilingual, Speech Recognition, Text to Speech and
Speech to Text Conversion, Audio/Video analytics, Facial Recognition, Eye
Tracking, - ANN, CNN, RNN, deep learning
Hands on experience in Azure
Candidate must have handled a broad variety of projects especially in
business functions as mentioned in JD
Knowledge of Machine Learning, R, Python, Pyspark, Databricks, ADX
Knowledge of Data Engineering Tools - SQL, Oracle
\*Qualifications for Internal
Candidates
Education Qualification
Graduation / Post Graduation in Quantitative Area - B.Tech / M.Tech in CSE /
Electrical / Electronics & Communication/ Maths & Computing /Statistics/
Economics /BioTech/BioStat / Clinical Engineering in Data Science / Machine
Learning from Top-rated University.
Confident and self-secure as they more often than not will have to deal with
situations where there is a lot unknown.
Good knowledge & experience in Artificial Neural Network (ANN), AI
conversational Chatbot & Needs to be able to write the required Algorithm and
coding programming. Preferably in different programming languages such as
Python (highly fluent), Tensor Flow, Keras, Azure (ML and DL), Numpy,
Pytorch.
Full stack development of Rest APIs and Integration
Familiar with AI disciplines in Natural Language Processing, Machine
learning, Conceptual modelling, Statistical analysis, Predictive modelling,
Hypothesis testing. -experience working on building an AI Conversation Voice
Chatbot, NLP, NLU, Multilingual, Speech Recognition, Text to Speech and
Speech to Text Conversion, Audio/Video analytics, Facial Recognition, Eye
Tracking, - ANN, CNN, RNN, deep learning
Hands on experience in Azure
Candidate must have handled a broad variety of projects especially in
business functions as mentioned in JD
Knowledge of Machine Learning, R, Python, Pyspark, Databricks, ADX
Knowledge of Data Engineering Tools - SQL, Oracle
Same Posting Description for Internal and External Candidatestails are not provided.
Job Summary
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Responsibilities
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Qualifications
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Preferred Skills
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Experience
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Environment
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Salary
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Growth Opportunities
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