Job Description

Traditional AI/ML Developer

Job highlights
Senior AI/ML Developer with 5-10 years of experience, proficient in Python/PySpark and machine learning libraries

Lead development and deployment of AI-driven solutions, build and deploy ML models, design scalable ML pipelines
Job match score

Early Applicant

Key Skills

Location

Work Experience

5 – 10 Years

4 Vacancies

Not disclosed

Mumbai, Bengaluru, Delhi / NCR

Hybrid
Must have key skills
Artificial Intelligence,Aiml,Machine Learning
Other key skills
Azure,Aws,Python
Job description
What you’ll do
Job Title: Traditional AI/ML Developer

Experience Level: Senior Associate/Manager (5 – 10 Years) Total

Location: Pan India

Overview: We are seeking an experienced Senior AI/ML Developer to lead the development and deployment of robust AI-driven solutions. The ideal candidate will leverage their extensive background in artificial intelligence, machine learning, and data science to address complex business needs and guide the team towards innovation

Must Have Skills

Develop a deep understanding of different types of data, metrics, and KPIs to identify and formulate data science problems that drive impactful solutions.
Proficiency in Python/PySpark for AI development, data preprocessing, and scripting.
Strong understanding of core machine learning and statistical concepts including supervised, unsupervised, and reinforcement learning, feature engineering, and model optimization.
Hands-on experience in building, training, and deploying ML models for use cases such as prediction, recommendation, NLP, and computer vision.
Proficiency in Python and machine learning libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost, and Hugging Face Transformers.
Familiarity with deep learning architectures CNNs, RNNs, Transformers and use cases in NLP, CV, and recommendation systems.
Experience with data preprocessing, feature selection, model evaluation, and hyperparameter tuning techniques.
Ability to design and deploy scalable ML pipelines leveraging cloud platforms — preferably AWS, but Azure experience is also acceptable.
Familiarity with API development, microservices, and integrating ML models into enterprise applications.
Understanding of data security, governance, and cost optimization in cloud-based AI environments.
Experience in AWS AI and ML services, including SageMaker, Lambda, Step Functions, API Gateway, and CloudWatch, for model deployment and orchestration.
Ability to work with containerization tools (Docker, Kubernetes) for deploying ML workloads.

Nice to have skills:

Strong knowledge of data storage and processing frameworks, including Amazon S3, Redshift, Glue, Athena, or Azure Data Lake and Synapse
Understanding of MLOps frameworks (MLflow, Kubeflow, or Vertex AI Pipelines).
Knowledge of AI governance, responsible AI, and ethical AI frameworks.
Hands-on experience with Git-based CI/CD, Agile delivery, and DevOps/MLOps automation.
Hands-on experience with MLOps tools and practices for automating model training, deployment, and monitoring.
Proven experience in designing and implementing Extract, Transform, Load (ETL) processes
Knowledge of data visualization tools like Tableau or Power BI.
Strong problem-solving and analytical skills, with the ability to collaborate across cross-functional teams.
Industry type
IT Services & Consulting
Department
Data Science & Analytics
Role
Data Science & Analytics – Other
Role category
Data Science & Analytics – Other
Employment type
Full Time, Permanent
Education
B.Tech/B.E. in Any Specialization, MBA/PGDM in Any Specialization, M.Tech in Any Specialization, MCA in Any Specialization

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Data Science & Analytics – Other, Mumbai

About company
PwC firms help organisations and individuals create the value they€™re looking for. We€™re a network of firms in 157 countries with over 184,000 people who are committed to delivering quality in advisory, tax and regulatory services.

In India, our comprehensive portfolio of Advisory and Tax Regulatory services presents a basket of finely defined deliverables.

Providing organisations with the advice they need, wherever they may be located, our highly qualified, experienced professionals, with sound knowledge of the Indian business environment, listen to different points of view to help you solve business issues and identify and maximise the opportunities you seek. Our industry specialisation allows us to help co-create solutions with our clients for their sector of interest.

We are located in Ahmedabad, Bangalore, Chennai, Delhi NCR, Hyderabad, Kolkata, Mumbai and Pune.
Headquarters
8th Floor, Building 8, Tower B, DLF Cyber City, Gu rgaon, Gurgaon, Haryana, 122002 , GURGAON, Haryana, India

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