Director Data Science

1 week ago

Delhi, India Live Connections Full time
Hiring for Director - Solution Architect
Work Mode: Remote
Experience: 15+Yrs
Compensation:55 lpa includes 10% variables
Notice Period: Immediate to 30 days of joiners
Required Skills:
- Programming Proficiency: Expert-level skills in Python, R, with deep knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy)
- Machine Learning: Extensive experience with statistical modeling, deep learning, NLP, computer vision, and generative AI technologies
- Infrastructure & Deployment: Hands-on experience with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and ML pipeline orchestration
- Data Engineering: Strong understanding of data architectures, feature engineering, and big data technologies (Spark, Hadoop, Kafka)
- Programming Proficiency: Expert-level skills in Python, R, with deep knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy)
- Leadership Skills: Strong leadership abilities to guide technical teams and communicate effectively with non-technical stakeholders.
- Problem-Solving Abilities: Excellent analytical skills to address complex technical challenges and devise innovative solutions.
- Background in building and scaling ML platforms in high-growth technology companies.
Key Responsibilities:
•Design and Oversee AI Architecture: Develop the overall architecture for the LLM from pretraining to supervised fine tuning and RLHF
• Technical Strategy & Roadmap: Define and execute comprehensive ML/AI strategy aligned with business objectives, including LLM infrastructure, retrieval pipelines, and generative workflows
•Architecture Oversight: Lead system architecture decisions for scalable ML platforms, ensuring robust model deployment and operational excellence
•Cross-functional Collaboration: Partner closely with product management, engineering, and business stakeholders to translate requirements into technical solutions
•Model Development: Actively participate in designing, training, and optimizing machine learning models, maintaining technical currency with 20-30% hands-on contribution
•Code Reviews & Technical Guidance: Conduct thorough code reviews and provide technical mentorship to ensure engineering excellence across the team
•Team Building: Recruit, hire, and develop top-tier ML engineers, data scientists, and researchers while fostering a culture of innovation and continuous learning
•Mentorship: Guide team members through complex technical challenges, career development, and best practices in ML engineering
Interested candidates please send your updated resumes at
or whats up at
Warm Regards,
Anjana_HR

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