Walk-in | Gen AI engineer

Location: New York

Designation:
Senior AI Engineer About Us

The Math Companyor  Math Co is a global

Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises.

Founded in 2016, Math Co builds customAI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model.

NucliOS, Math Cos proprietary platform with pre-built workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower TCO.

For our employees, we foster an open, transparent, and collaborative culture with no barriers, making Math Co a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to Leave a Mark.

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 4.5-7 years in development and deployment of scalable AI/ML solutions
• Has strong execution knowledge of Data Modeling, Databases in general (SQL and No
  
  SQL), 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
• Applydata 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)
• Deployand orchestrate AI models using Docker and Kubernetes
• Collaborate using Git Hub for versioncontroland 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

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--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…