Total yrs of exp : 7+ yrs
Balewadi,Pune Location
Immediate to 30 Days only
Responsibilities -
- Overall 6+ years of experience, out of which in 5+ 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)
Qualifications - [Education details]
Required Skills
Strong leadership and team management skillsExcellent verbal and written communication skillsStrategic thinking and problem-solving abilitiesAdaptability and adapting to the rapidly evolving AI / ML landscapeStrong collaboration and interpersonal skillsAbility to translate market needs into technological solutionsStrong understanding of industry dynamics and ability to translate market needs into technological solutionsDemonstrated ability to foster a culture of innovation and creative problem-solvingPreferred Skills
Pay range and compensation package - [Pay range or salary or compensation]
Equal Opportunity Statement - [Include a statement on commitment to diversity and inclusivity.]