What are the responsibilities and job description for the Technical Engineering manager with strong experience with AI and ML [Full Time role] position at Dexian India?
Role/Position Overview:
As a Technical Engineering Manager on our Data Concerns Remediation Management platform, you will drive, design, PoC critical core components while acting as a trusted advisor to the senior management team and lead architect. You will make clear, simple and technically sound decisions and champion high standards of coding and architecture best practices. You will drive discussions with multiple business and technology stakeholders, manage global and regional teams and programs, make sure prioritization is in place, supervise end-to-end initiatives, co-ordinate implementation and post-implementation support, interact with stakeholders at many levels of the organization, from junior analysts to senior management across multiple departments.
Not only will you utilize management and technical expertise to lead major projects, but also you will manage your project goals, contribute to product strategy and work closely with the product owner and lead challenging initiatives. You will mentor and lead the junior and middle level talent within the team, ensuring we have a clear pipeline of talent to promote within the organization.
Responsibilities:
Design and build high-quality, highly reliable software
Partner closely with other development teams, quants and subject-matter experts in our businesses
Ensure our software platforms are compliant with client's security and SDLC (Software Development Life Cycle) processes
Run the platform at scale while continuing to innovate and evolve
Skills and qualifications:
Strong knowledge and deep experience of Python and toolchains, Java, SQL, JavaScript (D3.js), Bash
Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology. Machine Learning: Neural Networks, Decision Trees, SVM, NLP, Reinforcement Learning, Ensemble Methods
Strong knowledge with RAG (Retrieval-Augmented Generation), prompt engineering
Knowledge of advanced statistical/machine learning techniques, algorithms, concepts and experience in the application
Data Processing: Hadoop, Spark, Kafka, Hive, NumPy, Pandas, Matplotlib
Experience with CI/CD and MLOps tools/frameworks (e.g. MLflow and W&B)
Experienced in building and running a large platform at scale
Strong distributed systems skills and knowledge
Strong system architecture skills
Knowledge of other modern, functional languages e.g. Scala, Clojure, Rust, Elixir
Solid understanding of REST-ful design
Experience with Kubernetes
Development experience of at least one public cloud provider
