AI Engineer_T8

We are looking for a Data Scientist/ AI Engineer for our Advanced Analytics and Big Data team. The scope of the team is to generate insights for data-driven decision in the domain of product development using methods of systematical data analysis. The main task is to identify suitable problem statements and develop sustainable solutions in an international and diverse environment. Our methods are based on state of the art technology such as artificial intelligence, cloud computing and agile software development in order to provide groundbreaking insights for vehicle development.

The candidate needs to possess forward deployed engineering mindset with a zeal to contribute towards multiple programs with varied expectations.

Artificial 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