Ai Ml Engineer/Lead/Architect_Pune, Bengalore, Chennai_3 To 15 yrs exp

Must have Technical skills Requirements

• Overall 3 to 12 years of experiencein AI, ML

and Gen AI and related technologies, CTC is open for discussion based on experience.

• 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.

Lead and manage the AI/ML Center of Excellence (CoE), setting

strategic direction and goals.

• 100% 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.

Experience

Growth Path

Mode of employment

• Provide thought leadership through whitepapers, conference

presentations, and industry engagements to position the organization

as an AI/ML leader