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Head of Machine Learning
BRAHMA —Remote
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- Doctoral degree
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Senior Ai/Ml Engineer
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Manager / Area Manager Artificial Intelligence
Tata Steel —Remote
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Manager / Area Manager Artificial Intelligence
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Data Analyst Intern
Ramaax World Impex Private Limited —Remote
Ramaax World Impex Private Limited is seeking a motivated Data Analyst Intern to support our international business development and export operations.
From ₹1,000 a month
Quick apply
8d
Financial Analyst
COLOSSAL FUND —Remote
Revenue/profit/OPM/NPM calculations. Basic maths should be strong. Commerce/maths/finance background preferred. Understanding of financial statements preferred.
From ₹10,000 a week
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Head of Machine Learning

BRAHMA -
Remote

Apply Now

Job details

Qualifications

TensorFlow
Doctoral degree
Computer Science
Research
C++
C
Machine learning
Deep learning
AI
Communication skills
Python

Full job description

The Head of Machine Learning will lead our research and development efforts in generative models with a main focus on multimodal generation, with main focus on video generation but also audio, and language-based models.This strategic leadership position sits at the intersection of technical expertise and organizational vision, requiring both hands-on experience with generative models and the ability to guide teams toward breakthrough results. You will be responsible for designing ML architectures and training pipelines, building and managing a skilled technical team, and ensuring research innovations can be successfully implemented in production environments, audio integration, and language model applications. This includes building systems that coordinate multimodal
inputs—visual, auditory, and textual—to enable rich, realistic, and controllable outputs for creative and production workflows.

Key Responsibilities / Job Duties

Research & Development Leadership

Define and execute the strategic roadmap for generative ML research aligned with company

objectives

Lead research initiatives in multimodal generative models (video, audio, language), temporal

consistency techniques, and multimodal generation with main focus on video generation

Design and optimize large-scale training and fine-tuning pipelines for generative models
Drive innovation in ML architecture, evaluation methodologies, and performance optimization
Balance scientific experimentation with practical business outcomes.

Team Building & Development

Build, lead, and mentor a diverse, high-performing ML team

Establish clear performance metrics, career development paths, and growth opportunities for team

members

Foster a collaborative culture that encourages knowledge sharing, creative problem-solving, and

continuous learning

Recruit and retain top ML talent through effective leadership and compelling technical challenges

Cross-Functional Collaboration

Partner with product, engineering, and creative teams to integrate ML innovations into production

systems

Translate complex ML concepts into accessible terms for non-technical stakeholders Balance research ambitions with practical business needs and timeline constraints
Technical Strategy & Vision

Contribute to the company's overall technical and product strategy
Evaluate emerging technologies and methodologies for potential adoption
Establish technical standards and best practices for ML development
Engage with the external research community through publications, conferences, and collaboration

Job Requirements / Must Haves

Exceptional leadership, mentorship, and communication skills.
Proven track record in leading machine learning R&D teams or projects.
Advanced degree in Computer Science, Machine Learning, AI, or a related field.
Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and programming

languages (e.g., Python).

Deep understanding of AI ethics, fairness, and interpretability.
Strategic thinking with the ability to define and communicate a compelling vision

Additional Skills / Nice to Have

PhD and/or strong portfolio of published research and patents in top AI conferences and journals.
Experience deploying large-scale machine learning models in production.
Familiarity with cloud platforms and MLOps best practices.
Proficiency in languages beyond Python, such as C++.
Able to knit together a high performing distributed team and communicate a consistent vision.

About You

Visionary thinker with a passion for advancing the state-of-the-art in AI.
Collaborative and team-oriented.
Resilient and adaptable in a fast-paced environment.
High level of curiosity and commitment to continuous learning.

Apply Now

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