6 - 15 years
3 - 13 Lacs
Posted:1 month ago|
Platform:
On-site
Full Time
Qualifications:
Education: Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field.
Experience:
oGood years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions.
oHands-on experience with AI tools and platforms and cloud services like AWS, Google Cloud, or Microsoft Azure.
oStrong background in machine learning algorithms, deep learning, data processing, and systems integration.
Technical Skills:
oProficient in programming languages such as Python, Java, or C++.
oFamiliarity with data pipeline tools and frameworks
oExperience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices.
oSolid understanding of data architecture, data science, security, and privacy considerations in AI systems.
Soft Skills:
oStrong analytical and problem-solving skills.
oAbility to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
oLeadership experience and the ability to work effectively in cross-functional teams.
oDetail-oriented and focused on delivering high-quality, scalable solutions.
Preferred Qualifications:
Certifications in AI technologies or cloud platforms (e.g., AWS Certified Solutions Architect, Google Cloud Professional Machine Learning Engineer).
Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision.
Knowledge of AI ethics and bias mitigation strategies.
Personal Attributes:
Ability to innovate and think critically about solving complex business problems with AI.
Strong interpersonal and communication skills for collaboration with stakeholders at all levels.
Self-motivated, proactive, and comfortable working in a dynamic and fast-paced environment.
6 to 8 Years.
Vinirma Consulting Private Limited
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