Data Scientist: 25-05366

Primary Skills: Machine Learning (Expert), Python (Advanced), Spark (Advanced), Data Mining (Expert), Leadership (Experienced)
Contract Type:  C2H
Duration:  6+ months
Location: Bangalore/ Pune

Job Summary:
Join an industry trailblazer in cloud-first networking and security services at an unparalleled time of transformation. As a Senior Data Scientist within our data science team, you'll lead pivotal AI Ops and Generative AI projects, turning innovative ideas into impactful AI solutions in close collaboration with our software engineering and product teams. The role demands a blend of technical prowess in AI and ML solutions, a passion for simplifying complex network security issues, and the drive to be a part of a leading team shaping the future of networking technologies.

Key Responsibilities:

• Set the vision and goals for AI Ops and Generative AI efforts, emphasizing project impact and ML system design.
• Adapt standard machine learning methods for maximum efficiency using cloud computing and GPUs.
• Lead in the development of ML best practices and foster an engineering culture of collaboration and continuous improvement.
• Develop scalable classifiers and tools addressing recommendation, classification, and optimization.
• Collaborate on feature roadmaps and work closely with the engineering team to deliver ML solutions.

Must-Have Skills:

• Proficiency in Machine Learning and Data Mining.
• Expertise in Python and Spark development and debugging.
• Proven track record in technical leadership and project management.

Preferred Industry Experience:

• Candidates with prior experience in cybersecurity, networking, or related technical fields are highly desirable.

This opportunity is not just a job but a pivotal role in leading the evolution of AI Ops and Generative AI capabilities within a company that prioritizes diversity, innovation, and the well-being of its employees.

ABOUT AKRAYA
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!

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