.. assignments & projects, presentations, and other required evaluation. To meet all learning commitments as directed by your line manager or the learning/training provider. Adhere to health & safety regulations. Skills Required: Good time management, Teamwork and Interpersonal skills. Excellent problem-solving .. read more
Experience - 6 to 14 years
Location:
- Pune(Balewadi)
Job Description:
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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.