ACL Digital | Lead Data Scientist
2 weeks ago
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 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
Preferred Skills
Pay range and compensation package - (Pay range or salary or compensation)
Equal Opportunity Statement - (Include a statement on commitment to diversity and inclusivity.)
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