Company Overview

Qlotech offers professional services across multiple areas including HR staffing and recruiting services, digital marketing, technology, and digital consulting services. As a small but dynamic company with 2-10 employees, Qlotech is headquartered in Noida and operates within the Human Resources Services industry. Learn more about us at Qlotech.

Job Overview

We are seeking an experienced Data Scientist Architect to join our team in Pune. This is a full-time executive-level position that requires a minimum of 10 years to a maximum of 30 years of relevant work experience. The successful candidate will be responsible for leading and architecting data science solutions and projects, ensuring the application of innovative AI technologies and methodologies.

Qualifications and Skills

• Extensive experience in solution architecture, data science, and artificial intelligence (AI) (Mandatory skill).
• Strong proficiency in machine learning techniques and algorithms, with the ability to design and implement complex models.
• Hands-on experience with big data technologies, including Hadoop, Spark, or similar frameworks, for handling and analyzing large datasets.
• Expertise in Python programming for data analysis, model building, and automation of tasks.
• In-depth knowledge of deep learning frameworks such as TensorFlow or PyTorch for developing neural networks and other advanced models.
• Ability to craft data-driven solutions using AI methodologies to address complex business problems.
• Strong analytical and problem-solving skills, with a keen eye for detail.
• Excellent communication and collaboration skills, capable of conveying complex technical concepts to non-technical stakeholders.

Roles and Responsibilities

• Lead the design and implementation of data science projects, ensuring alignment with business goals and technical feasibility.
• Architect and develop robust data solutions that leverage AI and machine learning techniques to deliver significant business value.
• Collaborate with cross-functional teams to identify opportunities where data science solutions can drive business impact.
• Stay updated with the latest advancements in AI, machine learning, and big data technologies to incorporate cutting-edge approaches.
• Provide technical guidance and mentorship to junior data scientists and engineers.
• Present findings and insights to senior leaders, effectively communicating the results and proposed solutions of data science projects.
• Ensure the scalability, performance, and reliability of data science solutions in a production environment.
• Drive the continuous improvement of methodologies, processes, and tools used for data science projects.