Sr AI/ML Technical Lead

Key Skills

Aartificial intelligence, Apache Hadoop, Apache Kafka, Data Engineering, Data science techniques, Database, Java Programming, Leadership Skill, Machine learning techniques, NoSQL, Python Programming, PyTorch, R Programming, Scikit-learn, SPARK Programming, TensorFlow

Job Description

Aisera has received numerous recognitions, including the following: Forbes AI50; CNBC Upstart 100 Top Startup; Gartner Cool Vendor; Red Herring Top 100 Global Innovator; CIO Innovation Startup Award; CIO Review Top ITSM Solution; Aragon Research Hot Vendor; TiE50 Startup Award; and Silicon Review 50 Most Admired Companies.

Responsibilities:

• Lead a team of AI/ML engineers and data scientists to design, develop, and deploy state-of-the-art AI/ML models and solutions.
• Serve as the technical expert on AI/ML initiatives and provide guidance and direction to the team.
• Collaborate with cross-functional teams, including product managers, software engineers, and data engineers, to define project requirements, scope, and deliverables.
• Develop and maintain a deep understanding of industry trends, best practices, and emerging technologies in AI/ML.
• Design and implement scalable and efficient AI/ML algorithms, tools, and pipelines.
• Evaluate and select appropriate AI/ML techniques, frameworks, and libraries to meet project requirements.
• Ensure the quality, performance, and accuracy of AI/ML models through rigorous testing and validation processes.
• Maintain detailed documentation of AI/ML processes, methodologies, and results.
• Provide mentorship and guidance to junior team members and contribute to their professional growth.
• Present AI/ML findings and insights to stakeholders and senior management, as needed.

Requirements:

• Minimum of 7 years of experience in AI/ML, with at least 3 years in a leadership role.
• Strong knowledge of AI/ML algorithms, techniques, and frameworks, such as TensorFlow, PyTorch, or scikit-learn.
• Experience with GenAI and LLM models will be ideal.
• Solid understanding of data science principles and best practices, including data preprocessing, feature engineering, and model evaluation.
• Proficiency in programming languages, such as Python, R, or Java.
• Experience with (any one) big data technologies, such as Hadoop, Kafka, Spark, or NoSQL databases.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills, with the ability to communicate complex concepts to both technical and non-technical stakeholders.
• Proven track record of leading and managing high-performing AI/ML teams.
• Demonstrated ability to work effectively in a fast-paced, collaborative environment.
• Master's degree in Computer Science, Engineering, Data Science, or a related field; PHD preferred