Senior - Dev-Data-Insights

Mumbai, Maharashtra, India

KPMG India

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About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. 

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

Consultant / Senior Consultant level AI solutions architect (2-8 yrs) with Hands-on AI / ML experience. Engineer who’s passionate about turning AI into real-world solutions using GenAI, ML, NLP and other technologies.

Requirements:
Proven experience (2-8 yrs) in building and deploying Fundamental AI / Gen AI/ ML models in production environments.
Proficient in Python and ML / DL frameworks like PyTorch / TensorFlow / scikit-learn
Proficiency in MLOps tools and frameworks such as MLFlow, Kubeflow, TensorFlow (TFX) or similar
Knowledge of orchestration tools (Docker, Kubernetes) as well as FastAPI / Flask
Exposure to cloud platforms (AWS / GCP) and a learning mindset
Experience with CI/CD tools like Jenkins or CircleCI
Proficiency in data pre-processing, feature engineering and model evaluation
Strong problem solving and communication skills.
Location: Mumbai
Joining: Immediate


Equal employment opportunity information 


KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
Bacholers degree 

Requirements:
Proven experience (2-8 yrs) in building and deploying Fundamental AI / Gen AI/ ML models in production environments.
Proficient in Python and ML / DL frameworks like PyTorch / TensorFlow / scikit-learn
Proficiency in MLOps tools and frameworks such as MLFlow, Kubeflow, TensorFlow (TFX) or similar
Knowledge of orchestration tools (Docker, Kubernetes) as well as FastAPI / Flask
Exposure to cloud platforms (AWS / GCP) and a learning mindset
Experience with CI/CD tools like Jenkins or CircleCI
Proficiency in data pre-processing, feature engineering and model evaluation
Strong problem solving and communication skills.
Location: Mumbai
Joining: Immediate

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS CI/CD Docker Engineering FastAPI Feature engineering Flask GCP Generative AI Jenkins Kubeflow Kubernetes Machine Learning MLFlow ML models MLOps NLP Python PyTorch Scikit-learn TensorFlow TFX

Region: Asia/Pacific
Country: India

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