What are the responsibilities and job description for the Senior AI/ML Lead position at ACL Digital?
Job Description :
12 Years' Experience
Need Candidate who can work onsite from Day 1 (4 days a week).
Candidate should have experience with AI LLM (Large Language Models).
Responsibilities :
Lead AI Strategy and Roadmap : Define the AI strategy, aligning it with business goals, and identify key areas where AI can create value for the organization.
Oversee AI Solution Development : Guide the development and implementation of AI models, including machine learning, NLP, computer vision, and predictive analytics, ensuring solutions are robust, scalable, and aligned with requirements.
Collaborate with Cross-Functional Teams : Work closely with product managers, data engineers, and software developers to integrate AI solutions into products and services.
Ensure Model Quality and Accuracy : Establish best practices for model development, testing, and validation to ensure high-quality AI solutions, with a focus on accuracy, reliability, and bias mitigation.
Data Management and Pre-processing : Oversee data sourcing, pre-processing, and feature engineering to ensure the quality and readiness of data used for AI models.
Skills Required :
Experience : 3 years of experience in AI, machine learning, or data science, with a proven track record of deploying AI solutions in a production environment.
Technical Expertise : Deep understanding of AI and machine learning techniques, including supervised and unsupervised learning, NLP, computer vision, deep learning, and statistical modeling.
Proficiency in AI Tools and Frameworks : Strong experience with AI and machine learning frameworks such as TensorFlow, PyTorch, Scikit-Learn, and cloud-based ML services (e.g., AWS SageMaker, Azure ML, Google AI).
Programming Skills : Proficiency in programming languages like Python and familiarity with data processing libraries (e.g., Pandas, NumPy).
Data Management Knowledge : Experience with big data technologies (e.g., Hadoop, Spark) and data engineering best practices.
Strategic and Analytical Thinking : Ability to develop AI strategies aligned with business goals and assess the business impact of AI initiatives.
Communication and Collaboration : Excellent communication skills to work effectively with cross-functional teams and to present complex technical information to non-technical stakeholders.
Preferred Skills :
Knowledge of AI ethics, governance, and regulatory considerations.
Experience with MLOps practices and tools for continuous integration / continuous deployment (CI / CD) of AI models.
Advanced degree (Master's or Ph.D.) in computer science, AI, machine learning, or a related field.
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