Short Description:
The Engineer (Machine Learning) position at BCG X involves developing end-to-end technology solutions for AI/ML use cases, from conceptualization to production deployment. Responsibilities include building data pipelines, implementing Generative AI pipelines, and deploying AI/ML models into production environments with API integration. Candidates must possess strong proficiency in Python, familiarity with other programming languages such as R and Java, and knowledge of various AI/ML models, including deep learning architectures. Additionally, expertise in Generative AI stack components, data processing frameworks, vector databases, API frameworks, and cloud platforms like AWS, Azure, or GCP is preferred. This role offers a unique opportunity to contribute to cutting-edge technology initiatives aimed at driving transformative change in global enterprises.
Position: Machine Learning Engineer
Company: BCG X
Location: India (Mumbai, Bengaluru, New Delhi)
Job type: Full time
Job mode: Hybrid
Introduction
This position, available in three locations, offers an opportunity to work with Boston Consulting Group (BCG), a renowned consulting firm dedicated to partnering with businesses and society to address their most critical challenges and capitalize on their greatest opportunities. Since its establishment in 1963, BCG has been a pioneer in business strategy, advocating for a transformational approach that benefits all stakeholders. BCG's collaborative model, fueled by deep industry expertise and a commitment to positive societal impact, aims to empower organizations to grow sustainably, gain competitive advantage, and foster meaningful change.
About BCG X
BCG X represents a comprehensive tech design and build initiative, boasting nearly 3000 experts focused on delivering industrial-grade solutions to drive profound transformation in global enterprises. Operating in partnership with the digital ecosystem, BCG X offers tech-agnostic solutions and software, serving as a catalyst for disruptive, software-enabled business solutions that leverage BCG's functional and sector expertise.
Practice Area Profile
Responsibilities
1. Technology Stack Development for AI/ML
- Conceptualize and develop technology stacks tailored for AI/ML use cases, spanning from ideation to production deployment.
- Establish data pipelines for structured and unstructured data ingestion, crucial for model training processes.
2. Generative AI Pipeline Development
- Design and implement Generative AI pipelines, encompassing orchestration, prompt engineering, fine-tuning, and related components.
3. Deployment of AI/ML Models
- Deploy AI/ML models into production environments and establish API layers to facilitate seamless integration with applications.
Required Experience & Qualifications
Technical Proficiency
- Exceptional proficiency in Python programming language, with additional knowledge of languages such as R and Java considered advantageous.
- Familiarity with a diverse range of AI/ML models, including deep learning architectures.
Generative AI Stack
- Proficiency in Generative AI stack components, encompassing Large Language Models/Foundation Models, vector databases, and orchestration frameworks.
- Hands-on experience in developing AI orchestration solutions utilizing frameworks like LangChain.
Data Processing & Management
- Deep understanding of data processing frameworks, including but not limited to Data Bricks and Airflow.
- Knowledge of vector databases such as Pinecone and Chroma.
API Frameworks & Cloud Platforms
- Familiarity with API frameworks such as Django and Flask.
- Understanding of cloud data and AI stacks on leading platforms such as AWS, Azure, or GCP, preferred.
Please click here to apply.
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