997 AI Engineering jobs in Mumbai

About the Role

We are seeking a dynamic and experienced Executive AI to design, development, and deployment of next-generation AI solutions, with a strong focus on Generative AI, Natural Language Processing (NLP), and Machine Learning (ML) within the pharmaceutical industry.

As an AI Engineer, you will guide a team of engineers and data scientists, drive project execution, and collaborate closely with product and domain teams. You will be responsible for architecting production-grade systems, mentoring technical talent, and spearheading innovation through applied GenAI.

This role combines strategic leadership, technical depth, and hands-on execution ideal for a candidate passionate about operationalizing cutting-edge AI technologies for real-world impact in life sciences.

Key Responsibilities:

• Manage the end-to-end lifecycle of AI/GenAI projects, from scoping and architecture to development, testing, deployment, and optimization.
• Guide the development of intelligent agents, LLM-powered chatbots, and voice-enabled systems tailored to pharmaceutical and enterprise use cases.
• Architect context-aware GenAI solutions using RAG (Retrieval-Augmented Generation), embeddings, vector databases, and multimodal models.
• Oversee fine-tuning of LLMs (e.g., GPT, Claude, LLaMA, Mistral, Phi 4) and drive responsible AI evaluation practices (e.g., hallucination mitigation, prompt robustness).
• Collaborate with cross-functional stakeholders including product owners, regulatory teams, and business leads to align AI solutions with strategic goals.
• Stay current with emerging trends in GenAI, open-source models, agent frameworks, and voice tech; translate advancements into practical applications.
• Ensure projects adhere to regulatory, compliance, and data governance standards, particularly in a GxP or HIPAA-compliant environment.
• Drive innovation culture by piloting proofs-of-concept and scaling successful initiatives across the organization.

Requirements:

• Minimum 3 years of experience in AI/ML/NLP, including at least 2 years in GenAI technologies and team leadership or technical program management.
• Deep expertise in LLMs/SLMs, including prompt engineering, fine-tuning, and building production-ready GenAI applications.
• Experience with RAG pipelines, vector search (FAISS, Pinecone, Weaviate), and embedding models.
• Strong coding skills in Python and experience with frameworks like Hugging Face, LangChain, LanGraph, OpenAI/Anthropic SDKs.
• Experience with API development, MLOps, and deploying models using containers or cloud-native tools.
• Proven ability to lead cross-functional teams and translate business needs into scalable AI systems.
• Strong analytical thinking, problem-solving, and architectural design capabilities.

Nice to Have:

• Experience building or integrating voice assistants, speech-to-text APIs, or multimodal GenAI interfaces.
• Familiarity with agent frameworks (e.g., CrewAI, AutoGen, LangGraph) for autonomous AI workflows.
• Understanding of regulatory frameworks in life sciences (GxP, HIPAA, GDPR, etc.).
• Prior exposure to enterprise IT systems in the pharmaceutical or healthcare domain.

Educational Qualifications:

• Bachelors in Engineering (B.E./B.Tech.) or Masters in Computer Applications/Technology (MCA/M.Tech.).
• Certifications or specialization in AI/ML/Data Science are highly desirable.

Benefits We Offer

• Free in-house gym for employee wellness.
• Exposure to high-impact projects
• Inclusive, innovation-driven culture with opportunities for career growth and leadership.

• Gain practical experience in AI development and engineering.
• Receive dedicated mentorship from senior AI professionals.
• Learn about machine learning algorithms, deep learning frameworks, and data science principles.
• Participate in coding, model training, data preprocessing, and testing phases of AI projects.
• Develop skills in programming languages commonly used in AI (e.g., Python).
• Understand AI deployment strategies and best practices.
• Contribute to the development of AI-powered products and services.
• Engage in collaborative problem-solving within a remote team environment.
• Receive exposure to various AI applications across different industries.
• Opportunity for potential full-time employment upon successful completion of the apprenticeship.

• Recent graduate with a degree in Computer Science, Engineering, Data Science, or a related quantitative field.
• A strong foundational understanding of programming concepts and mathematics.
• Demonstrable passion for Artificial Intelligence and Machine Learning.
• Eagerness to learn and a proactive approach to acquiring new skills.
• Excellent problem-solving abilities and analytical thinking.
• Good communication skills and the ability to work effectively in a remote team.
• Familiarity with Python is a plus.
• Prior exposure to AI/ML concepts through personal projects, coursework, or online courses is advantageous.

Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras.

Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques.

Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps.

Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications.

Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development.

Job Description: AI Engineering Manager

Position Overview:

We are seeking an experienced AI Engineering Manager to lead our AI projects and

drive innovation in deep learning applications. The ideal candidate will have a strong

background in the latest deep learning architectures, including Convolutional Neural

Networks (CNNs) and Transformers, and possess project management experience

in overseeing AI initiatives.

Key Responsibilities:

 Lead the design, development, and deployment of AI solutions, ensuring alignment with organizational goals.

Manage AI projects from inception to completion, coordinating cross-functional teams and resources effectively.

versee the implementation of deep learning algorithms for various applications, particularly in medical image analysis.

entor and guide team members, fostering a collaborative and innovative work environment.

nsure high-quality code development in Python, C, or C++, with a strong understanding of object-oriented programming concepts.

Qualifications:

roven experience in managing AI projects and teams.

trong knowledge of deep learning architectures such as CNNs and Transformers.

rior experience in the medical image analysis field is preferred.

roficiency in programming languages including Python, C, and C++.

xperience in people management and team leadership.

Preferred Skills:

amiliarity with machine learning frameworks (e.g., TensorFlow, PyTorch).

xcellent communication skills and the ability to work collaboratively across teams.

andidates with publications in conferences such as ICCV, ICPR, ICIP, ISBI,

MICCAI, MIDL, NeurIPS, and CVPR are preferred.

Job Description: AI Engineering Manager

Position Overview:

We are seeking an experienced AI Engineering Manager to lead our AI projects and

drive innovation in deep learning applications. The ideal candidate will have a strong

background in the latest deep learning architectures, including Convolutional Neural

Networks (CNNs) and Transformers, and possess project management experience

in overseeing AI initiatives.

Key Responsibilities:

 Lead the design, development, and deployment of AI solutions, ensuring alignment with organizational goals.

Manage AI projects from inception to completion, coordinating cross-functional teams and resources effectively.

versee the implementation of deep learning algorithms for various applications, particularly in medical image analysis.

entor and guide team members, fostering a collaborative and innovative work environment.

nsure high-quality code development in Python, C, or C++, with a strong understanding of object-oriented programming concepts.

Qualifications:

roven experience in managing AI projects and teams.

trong knowledge of deep learning architectures such as CNNs and Transformers.

rior experience in the medical image analysis field is preferred.

roficiency in programming languages including Python, C, and C++.

xperience in people management and team leadership.

Preferred Skills:

amiliarity with machine learning frameworks (e.g., TensorFlow, PyTorch).

xcellent communication skills and the ability to work collaboratively across teams.

andidates with publications in conferences such as ICCV, ICPR, ICIP, ISBI,

MICCAI, MIDL, NeurIPS, and CVPR are preferred.

Job Description: AI Engineering Manager

Position Overview:

We are seeking an experienced AI Engineering Manager to lead our AI projects and

drive innovation in deep learning applications. The ideal candidate will have a strong

background in the latest deep learning architectures, including Convolutional Neural

Networks (CNNs) and Transformers, and possess project management experience

in overseeing AI initiatives.

Key Responsibilities:

Lead the design, development, and deployment of AI solutions, ensuring alignment with organizational goals.

Manage AI projects from inception to completion, coordinating cross-functional teams and resources effectively.

Oversee the implementation of deep learning algorithms for various applications, particularly in medical image analysis.

Mentor and guide team members, fostering a collaborative and innovative work environment.

Ensure high-quality code development in Python, C, or C++, with a strong understanding of object-oriented programming concepts.

Qualifications:

Proven experience in managing AI projects and teams.

Strong knowledge of deep learning architectures such as CNNs and Transformers.

Prior experience in the medical image analysis field is preferred.

Proficiency in programming languages including Python, C, and C++.

Experience in people management and team leadership.

Preferred Skills:

Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).

Excellent communication skills and the ability to work collaboratively across teams.

Candidates with publications in conferences such as ICCV, ICPR, ICIP, ISBI,

MICCAI, MIDL, NeurIPS, and CVPR are preferred.