.. . We engage with a diverse array of industry verticals, ranging from Retail, eCommerce, and consumer brand manufacturing to investment firms. .. we connect with our audience. In our quest to expand our reach within the Retail and consumer brand sectors, we are on the lookout for a highly skilled .. read more
We are looking for a Technical Leader to design and develop a full stack data analytics and machine learning project. The ideal candidate will have a strong technical background and expertise in data analytics, machine learning, microservices architecture, containers, distributed systems, and API design, as well as strong technical leadership skills to guide junior team members on a regular basis. Key Responsibilities Translate marketing and technical requirements into enterprise grade, scalable, distributed systems architecture. Drive, lead, spec and implement on-prem and cloud software and infrastructure to meet the requirements. Troubleshoot and debug. This role may span multiple tiers such as data management, backend services, visualization, and presentation, as well as APIs for the infrastructure. Collaborate with R&D teams across multiple business groups, and other cross-functional teams to align technical roadmaps and deployment strategy. Provide substantial and broad-based technical leadership and technical direction, identify and research opportunities for technical innovation, and drive the definition and delivery of market-leading solutions. Perform in project leadership roles, drive programs and business initiatives. Determine methods and procedures on new assignments and projects. Offer new solutions or direction and encourage and motivate others to support new solution or direction. May advise senior management on specialized technical or business issues. Requirements BS/MS EE/CS/CE with a minimum of 8-10+ years of experience developing large scale architectures and distributed systems. Strong skills in software architecture, proficient in distributed systems and microservices architecture based design and implementation. Proficiency in Python programming language, familiarity with other languages such as C/C++, Java, etc. highly desired. Solid understanding of Kubernetes and containerized ecosystems (e.g., Docker, Singularity). Experience in machine learning, ML model versioning and deployment, building ML Ops Familiarity with storage solutions and leading technology vendors Solid project management skills encompassing project planning, estimation, and execution. Ability to work independently, and exceptional verbal/written communication, leadership, interpersonal, and teamwork skills are a must. Desired skills A significant overlap with the following skills is highly desired: Data engineering tools such as Kafka, Spark, Dask, Hive, Airflow, NOSQL databases and in-memory databases such as Redis. Knowledge of constructing observability stack using tools such as OpenTelemetry, ELK and LGTM. Designing and deploying cloud native micro services application on Kubernetes both on-prem and public clouds Experience working (configuring, deploying, managing, and monitoring) with cloud platforms – AWS, GCP, and/or Microsoft Azure – with a preference for experience in Azure. Knowledge of software life-cycle management in CI / CD Experience in building APIs and SDKs Certifications are a plus: AWS Solutions Architect, Cloud Security Certification, OpenStack Certification