Bosch Home Comfort

Makes heating, cooling and hot-water equipment

Gen AI Specialist

Natural Language Processing & LLMsPosted on Nov 11

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

Required: 5–8 years of experience as a Data Scientist or GenAI specialist, including 2–3 years specifically developing generative AI solutions.
Proficiency in Python, TensorFlow, Keras, PyTorch, and NLP libraries including NLTK, spaCy, and Gensim.
Hands-on experience with open-source LLMs including Llama, Gemma, and Mixtral, and closed-source models including GPT, Azure OpenAI, Claude, and Gemini.
Strong understanding of vector databases including Pinecone and Qdrant, and cloud services including Azure, Google Cloud Platform, and Amazon Web Services.
Expertise in NLP algorithms for intent recognition, entity extraction, text classification, summarization, and question answering.
BE, BTech, or ME in Computer Science, Machine Learning, Mechanical Engineering, or another stated field.

Responsibilities

Design, develop, test, and deploy machine learning models and generative AI solutions using state-of-the-art algorithms, with a strong focus on large language models.
Build end-to-end AI, machine learning, and natural language processing solutions, including conversational AI, document understanding, and question-answering systems.
Develop and fine-tune language models, including LLMs and SLMs, using LlamaIndex, LangChain, and AutoGen, applying retrieval-augmented generation, prompt engineering, and model optimization techniques.
Mine and analyze data using statistical methods to identify critical product insights and customer patterns.
Translate analytic insights into concrete, actionable recommendations for business and product improvement.
Define and deploy best practices in machine learning, MLOps, and LLMOps across teams, and mentor others in those practices.
Lead projects independently, provide technical direction to team members, and champion effective techniques through development.
Partner closely with product and engineering leaders throughout the project lifecycle.
Communicate data-driven insights clearly and concisely to stakeholders at all organizational levels through storytelling and visualization.

Desired Qualifications

Prior experience in the mobility or healthcare domains.
Foundational knowledge of cloud platforms, API frameworks including Flask and FastAPI, and tools such as Swagger and Postman.
A Master's or PhD in Computer Science or Machine Learning, or a related field, from a tier 1 institution.

Job Description

Roles & Responsibilities:

Design, develop, test, and deploy machine learning models and generative AI solutions using state-of-the-art algorithms with a strong focus on large language models
Build end-to-end AI/ML/NLP solutions including conversational AI, document understanding, and question-answering systems
Develop and fine-tune language models (LLMs, SLMs) using frameworks like LlamaIndex, Langchain, and Autogen, with expertise in RAG, prompt engineering, and model optimization techniques
Mine and analyze data using statistical methods to identify critical product insights and customer patterns
Translate analytic insights into concrete, actionable recommendations for business and product improvement
Define, deploy, and mentor best practices in machine learning, MLOps, and LLMOps across teams
Lead projects independently, provide technical direction to team members, and champion effective techniques through development
Partner closely with product and engineering leaders throughout the project lifecycle
Communicate data-driven insights clearly and concisely to stakeholders at all organizational levels through effective storytelling and visualization

Experience Required:

5-8 years of experience as a Data Scientist or GenAI specialist, with 2-3 years specifically in generative AI solution development

**Must have Skills:**

5-8 years of experience as a Data Scientist or GenAI specialist, with 2-3 years specifically in generative AI solution development
Proficiency in Python, TensorFlow, Keras, PyTorch, and NLP libraries (NLTK, SpaCy, Gensim)
Hands-on experience with open-source LLMs (Llama, Gemma, Mixtral) and closed-source models (GPT, Azure OpenAI, Claude, Gemini)
Strong understanding of vector databases (Pinecone, Qdrant) and cloud services (Azure, GCP, AWS)
Expertise in NLP algorithms for intent recognition, entity extraction, text classification, summarization, and question answering

**Good to Have skills*

Prior experience in Mobility or Healthcare domains
Foundational knowledge of cloud platforms, API frameworks (Flask, FastAPI), and tools like Swagger/Postman
Master's or PhD in Computer Science, Machine Learning, or related field from tier 1 institutions

Qualifications

BE, B Tech or ME in (Computer Science / Machine Learning/ Mechanical, etc)

Additional Information

5- 8 years

About the Company

Bosch Home Comfort

Makes heating, cooling and hot-water equipment

Bosch Home Comfort makes heating, cooling and hot-water equipment for homes, commercial buildings and industrial users. Its portfolio combines electric heat pumps with gas-fired boilers and hybrid systems, giving customers different ways to control building temperatures and supply hot water. The business sells equipment through its brands' sales networks, with products adapted to regional building needs and energy requirements. Its inverter-driven heat pumps adjust compressor output to match demand rather than running constantly at full power. The Bosch business unit was formed through the merger of Bosch and Buderus heating activities in 2004 and is headquartered in Wetzlar, Germany.

Company size: 10,001+
Company stage: Not listed
Total funding: Not listed
Headquarters: Wetzlar, Germany
Founded: 2004

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