Senior AI/ML Engineer at 66degrees

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

06 Apr, 26

Salary

0.0

Posted On

06 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, AWS, Time Series, Graph Neural Networks, Forecasting, Scikit-Learn, Hugging Face Transformers, LangChain, OpenAI APIs, Presentation Skills, Stakeholder Management, Data Quality, Model Deployment, AI Solutions, Generative AI

Industry

Business Consulting and Services

Description

Overview of 66degrees 66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential. At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way. Overview of Role As an AI Engineer, you will be responsible for designing, building, and deploying sophisticated AI solutions, with a focus on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). You will partner directly with business stakeholders and customers to understand their needs, translate them into technical requirements, and deliver robust, scalable AI applications that drive significant business impact. Responsibilities End-to-End Solution Development: Partner with internal and external stakeholders to lead the full lifecycle of AI projects—from use case scoping and data exploration to model development, deployment, and performance optimization. Data-Centric AI Implementation: Champion a data-first approach to building AI applications. Design and implement scalable text processing pipelines, and establish best practices for data quality, including curating vector database collections, and developing tailored data chunking and vectorization strategies. Generative AI System Architecture: Architect and implement advanced AI systems utilizing modern orchestration frameworks (e.g., LangChain, LlamaIndex). Your expertise will cover the core components of the Gen AI stack: Retrieval: Implementing efficient and relevant information retrieval. Augmentation & Generation (RAG): Building robust RAG pipelines. Fine-Tuning: Fine-tuning embedding and generative models for specific tasks. Evaluation: Establishing metrics and frameworks to evaluate model performance. LLMOps & Production Deployment: Manage the deployment of AI models as scalable inference endpoints. Implement and maintain LLMOps best practices, including CI/CD for models, observability, tracing, and version control using Git. Stakeholder Management & Enablement: Forge and manage strong relationships with customer leadership. Serve as the primary technical voice, educating stakeholders on the capabilities and limitations of AI, and conducting workshops to transfer knowledge and ensure successful adoption. Qualifications 3+ years of customer-facing experience in the design and implementation of AI/ML solutions. Proficient in Python and SQL. AWS, Time series - TFTs, Temporal Fusion Transformers, Graph neural networks and forecasting. Expertise in AI frameworks and libraries, such as scikit-learn, Hugging Face Transformers, LangChain/Graph and OpenAI APIs. Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement. Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. Ability to work in a fast-paced environment and balance priorities across multiple projects at once. B.S. degree in a quantitative field such as Computer Science, Engineering,Physics, Mathematics, Statistics, or comparable degree/experience. 66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class. 66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.

Responsibilities

The Senior AI/ML Engineer will lead the full lifecycle of AI projects, from use case scoping to model development and deployment. They will also manage stakeholder relationships and educate them on AI capabilities.