Posted:23 hours ago| Platform: Naukri logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Key Responsibilities:

  • 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

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

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