1074 Artificial Intelligence jobs in Mumbai
Director - Data Science & Artificial Intelligence
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**Director - Data Science
Location:**
Mumbai or Bangalore
About Traya
Traya is a health-tech company that treats hair loss end-to-end through a personalized program combining dermatology, Ayurveda, nutrition, and behavioral science. We own the entire pathway - assessment, regimen design, coaching, refills, and protocol adjustments - powered by an adherence engine and outcomes data that improve results over time.
As Traya scales into an omnichannel health platform (web, app, clinics, tele-coaching), data science is the engine powering personalization, retention, and efficiency.
Why This Role Exists
This is a hands-on builder role for a leader who wants to take models from notebook to production. You will own Traya's machine learning roadmap end-to-end: building models that predict churn, optimize marketing spend, personalize regimens, and power recommendations - all tightly integrated with product and engineering.
The goal: ship ML systems that measurably improve LTV, retention, and funnel efficiency.
Your Mandate
- Build High-Impact ML Models
- Design, train, and deploy models for churn prediction, lead scoring, regimen personalization, recommendations, and forecasting.
- Establish frameworks for uplift modeling, causal inference, and incrementality measurement.
- Continuously iterate and retrain models based on business feedback and new data.
- Own MLOps & Model Lifecycle
- Partner with engineering to set up scalable pipelines (feature store, CI/CD for ML, monitoring).
- Build automated retraining and drift detection systems.
- Ensure models meet defined SLAs for latency, accuracy, and reliability in production.
3
. Partner Closely with Product & Growth
- Translate business objectives into well-scoped ML problems.
- Collaborate with product managers to embed models into customer journeys and internal tools.
- Quantify and communicate model impact in terms of revenue, retention, and efficiency.
- Build & Mentor a World-Class Team
- Hire, mentor, and upskill data scientists and ML engineers.
- Foster a culture of scientific rigor, experimentation, and measurable Outcomes to Deliver
Deployed ML Models:
Productionize churn prediction, lead scoring, recommendation systems with measurable ROI.
Automation & Scalability:
Fully operational MLOps pipelines with minimal manual intervention.
Business Impact:
Demonstrable improvements in retention, funnel conversion, and payback period driven by ML systems.
Technical Excellence:
Establish best practices for code quality, reproducibility, version control, and Toolkit
Languages & Libraries:
Python (scikit-learn, XGBoost, PyTorch/TensorFlow, LightGBM).
Data & Pipelines: SQL, Airflow, Spark/Flink, Kafka/Kinesis, MLflow, Kubeflow, CI/CD tools, model monitoring frameworks.
Experimentation:
A/B testing design, causal inference, uplift modeling.
Who You Are
- 8-12 years of experience in applied data science, ML engineering, or AI, with at least 2-3 years leading technical teams.
- Proven record of shipping production ML models that impacted growth or revenue.
- Deep expertise in supervised & unsupervised learning, recommendation systems, forecasting, and causal inference.
- Comfortable writing production-quality Python/SQL, reviewing code, and guiding ML architecture decisions.
- Experience in consumer-tech, D2C, health-tech, or marketplaces is a plus.
- Builder-operator mindset: thrives in ambiguous, high-growth environments, and loves to see models driving real business outcomes.
Traya provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, nation origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by central, state, or local laws.
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Artificial Intelligence Specialist
Posted 1 day ago
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AI innovators and Automation Experts
At Waaree , we believe the future of renewable energy is smart, data-driven, and automated — and we're building it now.
We’re looking for AI innovators and automation experts — from fresh talent to seasoned professionals — who are excited to build impactful solutions that drive efficiency, scalability, and sustainability across the clean energy value chain.
What we’re looking for:
️ Passion for AI, digitalization, and automation
️ Ability to build and deploy smart tools, AI agents, and workflows
️ Experience (or interest) in renewable energy is a big plus
️ Open to both early-career professionals & senior experts
Whether you’ve built intelligent bots or are just getting started solving real-world problems with AI — we’d love to hear from you.
Interested?
Send your profile and a quick note to me at
Let’s revolutionize renewable energy with intelligence and innovation. ️
Artificial Intelligence Engineer
Posted 1 day ago
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Job Description – AI Developer
Job Title: AI Developer
Location: Andheri East, Mumbai
Experience: 1–3 Years
Salary: No bar for the right talent
Employment Type: Full-Time
About the Role
We are seeking passionate and innovative AI Developers to join our dynamic team. If you are excited about Artificial Intelligence, Machine Learning, and Data Science, and are eager to apply your skills to real-world problems, this role is for you.
Key Responsibilities
- Design, develop, and implement AI/ML models and algorithms.
- Work with data scientists and engineers to preprocess, analyze, and interpret large datasets.
- Build and deploy machine learning solutions into production environments.
- Research and stay updated on the latest AI/ML frameworks, tools, and best practices.
- Collaborate with cross-functional teams to deliver innovative AI-driven solutions.
Required Skills & Qualifications
- Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- Strong understanding of Machine Learning algorithms, Data Science concepts, and AI frameworks.
- Proficiency in Python and libraries such as TensorFlow, PyTorch, scikit-learn, Pandas, NumPy.
- Familiarity with data preprocessing, model training, evaluation, and deployment.
- Good problem-solving and analytical thinking skills.
Artificial Intelligence Engineer
Posted 1 day ago
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Develop AI-based MVPs & solutions, lead product strategy, build & deploy AI models, ensure client-centric delivery, manage teams & drive innovation with cutting-edge cognitive AI frameworks, with 5-8yrs Experience
Artificial Intelligence Developer
Posted 1 day ago
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Gen AI, Artificial Intelligence/ Machine Learning, NumPy, Solution Design / Solutioning
6 to 8+ Years
Artificial Intelligence Specialist
Posted 1 day ago
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AI innovators and Automation Experts
At
Waaree
, we believe the future of renewable energy is
smart, data-driven, and automated
— and we're building it now.
We're looking for
AI innovators and automation experts
— from fresh talent to seasoned professionals — who are excited to build
impactful solutions
that drive efficiency, scalability, and sustainability across the clean energy value chain.
What we're looking for:
Passion for AI, digitalization, and automation
Ability to build and deploy smart tools, AI agents, and workflows
Experience (or interest) in renewable energy is a big plus
Open to both
early-career professionals
&
senior experts
Whether you've built intelligent bots or are just getting started solving real-world problems with AI — we'd love to hear from you.
Interested?
Send your profile and a quick note to me at
Let's revolutionize renewable energy with intelligence and innovation.
Artificial Intelligence Developer
Posted 1 day ago
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Job Description: We are looking for an experienced AI Software Engineer to lead the development and integration of AI-driven solutions for our company. This role will involve designing scalable AI architectures, implementing algorithms, and ensuring robust deployment.
Responsibilities:
- Design and develop scalable and explainable AI solutions, leveraging techniques such as deep learning, natural language processing (NLP), and reinforcement learning.
- Implement AI algorithms and models using frameworks like TensorFlow, PyTorch, or custom implementations in Python.
- Collaborate with data scientists and database engineers to integrate AI solutions with existing data infrastructure.
- Optimize AI models for performance, scalability, and real-time processing capabilities.
- Ensure compliance with data privacy, security regulations, and best practices in AI development.
Requirements:
- Bachelors or Masters degree in Computer Science, Engineering, or a related field.
- Solid programming skills in Python and proficiency in AI/ML libraries and frameworks.
- Experience in designing and deploying AI models in production environments.
- Understanding of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Strong problem-solving abilities and analytical thinking.
Preferred Qualifications:
- Previous work in developing AI solutions for financial applications or risk management.
- Familiarity with distributed computing and parallel processing techniques for handling large-scale data.
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Director - Artificial Intelligence
Posted 1 day ago
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Location: Mumbai
Proven experience framing and solving complex problems with AI models, specifically in computer vision or NLP,and GenAI and deploying these at scale.
Hands-on experience with LLMs, with expertise in fine-tuning, retrieval-augmented generation (RAG), and model selection. You should have worked on at least two production use cases in this domain. You should know what models / approaches to choose based on the use-cases and their solutions.
You understand that model building is only a fraction of productionAI work and you know what it takes to maintain high-performanceAI systems.
6+ years building and maintaining large-scale production AI systems, including optimization and tuning for deployment at scale.
Good-to-Haves:
Experience with other languages
Familiarity with Docker and Kubernetes for efficient service deployment.
Experience with a variety of platforms, frameworks, and tools in the AI and machine learning
ecosystem.
Publications and patents in the AI domain
Artificial Intelligence Engineer
Posted 1 day ago
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About the Company
NeuIQ is a new-age technology services firm specializing in solving enterprise business transformation and experience challenges through cutting-edge, AI-powered data and technology solutions. At the core of our vision is building a scalable and profitable technology implementation business with data engineering as its foundation. Our expertise lies in implementing enterprise SaaS platforms such as Qualtrics, ServiceNow, Snowflake, and Databricks, enabling organizations to unlock actionable insights and maximize the value of their AI and technology investments. With innovation, integrity, and a future-ready mindset, NeuIQ is committed to empowering enterprises to stay relevant, impactful, and ahead in today's dynamic landscape.
About the Role
Develop Agentic AI-based solutions tailored to client problem statements. Work on multi-agent orchestration, reasoning-enabled AI agents, and LLM-powered autonomous systems. Collaborate across teams and with clients—strong communication is essential.
Qualifications and Required Skills
- 1–3 years of hands-on experience in AI/ML projects, preferably with LLM or Agentic AI systems
- Strong understanding of foundational ML/NLP concepts and modern LLM workflows
- Demonstrated ability to independently build and deploy working AI solutions
Preferred Skills
- Experience with multi-agent systems
- Familiarity with advanced AI techniques
Equal Opportunity Statement
NeuIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status.
Artificial Intelligence Developer
Posted 1 day ago
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Develop & implement AI/ML models using frameworks like TensorFlow, PyTorch, or Scikit-learn
Design APIs & services
Conduct model training, testing, validation, deployment in production environments
Analyze large datasets
Required Candidate profile
Proficiency in Python and AI libraries
Strong understanding of algorithms, data structures, machine learning concepts
REST APIs, cloud platforms, algorithms, data structures, Docker