Director Data Science

2 days ago

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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