Senior AI Engineer-Hybrid-Bengaluru

Preferred Immediate joiners

Working Mode: Hybrid

Loc: Whitefield, Bengaluru

Exp: 4-12 yrs

Salary: Best in the Industry

Job Responsibilities

 Responsible for designing, building, and maintaining scalable AI solutions

 Develop and implement advanced Generative AI solutions (LLMs, embeddings, retrieval techniques, prompt engineering)

 Ensure that data architectures and infrastructure can scale seamlessly as the data volume and complexity grow

 Lead, mentor, and develop a team of AI Engineers, fostering a collaborative and inclusive team environment

 Identify and address skill gaps, and provide opportunities for professional development

 Coordinate with stakeholders to gather requirements, set priorities, and define project timelines

 Ensure projects align with overall business objectives and data strategy

 Ensure data quality, integrity, and security across all data engineering projects

 Identify opportunities for process improvements and drive initiatives to enhance the efficiency and effectiveness of data operations

 Ability to build/drive reusable frameworks that can drive efficiency of the overall data system

 Manages conversation with the client stakeholders to understand the requirement and translate it into technical outcomes

Required Skills (Must have)

Tech:

 Experience of 4.5-12 years in development and deployment of scalable AI/ML solutions

 Has strong execution knowledge of Data Modeling, Databases in general (SQL and NoSQL), software development lifecycle and practices, unit testing, functional programming, etc

 Develop and implement advanced Generative AI solutions (LLMs, embeddings, retrieval techniques, prompt engineering)

 Design and optimize Retrieval-Augmented Generation (RAG) solutions

 Manage Databricks workflows, including job and cluster creation also Databricks API

 Apply data structures and algorithms knowledge, including multiprocessing and optimization techniques

 Utilize Python libraries (Pandas, Numpy, FastAPI) for data processing and API development

 Perform SQL optimization and database architecture design (schema creation, normalization, functions, triggers)

 Deploy and orchestrate AI models using Docker and Kubernetes

 Collaborate using GitHub for version control and team collaboration

 Work with cloud platforms for AI solution deployment and management (Azure, GCP, AWS)

 Utilize PySpark for data processing (optional)

 Basic understanding of CI/CD pipelines and deployment process

Internal Use Only

Non-Tech:

 Strong problem-solving skills with an ability to assess the financial impact of decisions, both in running the delivery team and delivering solutions to clients

 Proficient in written and verbal communication and able to hold conversations with mid-management-level clients

 Ability to recognize pragmatic alternatives vis-à-vis a perfect solution and get the delivery teams on board to pursue them, balancing time priorities with potential business impact

 Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation

 Shows proficiency in providing technical guidance and provide leadership and mentorship to the delivery team

 Self-driven with a strong sense of ownership

Good to Have Skills

 Familiarity with data visualization tools and techniques

 Knowledge of data security and privacy practices

 Understanding of data governance and compliance frameworks

 Experience with graph databases and graph processing frameworks

 Experience with data virtualization and data federation techniques

 Proficiency in data profiling and data quality management