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Senior AI Engineer

Senior AI Engineer

MathCoBengaluru, Karnataka, India
25 days ago
Job description

TheMathCompany or MathCo® 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, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS, MathCo’s 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 MathCo a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to ‘Leave a Mark’.

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 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
  • 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
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