AIML Lead

1 month ago

Pune, India ACL Digital Full time

Experience - 6 to 12

Location:- Pune(Balewadi)


Job Description:-

Key Responsibilities

• Lead and manage the AI/ML Center of Excellence (CoE), setting strategic direction and goals.

• 00% hands-on Experience is a must in development and deployment of production-level AI models at enterprise scale. (Build Vs Buy Decision Maker)

• Drive innovation in AI/ML applications across various business domains and modalities (vision, language, audio).

• Hire, train, and manage a team of AI experts to run the CoE effectively.

• Collaborate with sales teams to identify opportunities and drive revenue growth through AI/ML solutions.

• Develop and deliver training programs to upskill teams across the organization in AI/ML technologies.

• Oversee the Implement and maintain best practices in MLOps, DevOps, and CI/CD for AI/ML projects.

• Continuously identify and evaluate emerging tools and technologies in the AI/ML space for potential adoption.

• Provide thought leadership through whitepapers, conference presentations, and industry engagements to position the organization as an AI/ML leader.

Must have Technical skills Requirements

• Overall 8+ years of experience, out of which in 4+ in AI, ML and Gen AI and related technologies

• Proven track record of leading and scaling AI/ML teams and initiatives.

• Strong understanding and hands-on experience in AI, ML, Deep Learning, and Generative AI concepts and applications.

• Expertise in ML frameworks such as PyTorch and/or TensorFlow

• Experience with ONNX runtime, model optimization and hyperparameter tuning.

• Solid Experience of DevOps, SDLC, CI/CD, and MLOps practices - DevOps/MLOps Tech Stack: Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, ELK stack

• Experience in production-level deployment of AI models at enterprise scale.

• Proficiency in data preprocessing, feature engineering, and large-scale data handling.

• Expertise in image and video processing, object detection, image segmentation, and related CV tasks.

• Proficiency in text analysis, sentiment analysis, language modeling, and other NLP applications.

• Experience with speech recognition, audio classification, and general signal processing techniques.

• Experience with RAG, VectorDB, GraphDB and Knowledge Graphs

• Extensive experience with major cloud platforms (AWS, Azure, GCP) for AI/ML deployments. Proficiency in using and integrating cloud-based AI services and tools (e.g., AWS SageMaker, Azure ML, Google Cloud AI).

Soft Skills

• Strong leadership and team management skills.

• Excellent verbal and written communication skills.

• Strategic thinking and problem-solving abilities.

• Adaptability and adapting to the rapidly evolving AI/ML landscape.

• Strong collaboration and interpersonal skills.

• Ability to translate market needs into technological solutions.

• Strong understanding of industry dynamics and ability to translate market needs into technological solutions.

• Demonstrated ability to foster a culture of innovation and creative problem-solving.

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