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Updated 2026-07-02 14:00 UTC·© 2025–2026 RoleSuite
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IN-Associate_AI/ML Developer_App tech_Advisory_Kolkata

PwC · Kolkata DN 57

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Operations

Management Level

Associate

Job Description & Summary

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.

As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support.

*Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "

Job Description & Summary: We are seeking a highly skilled AI Specialist with 7–10 years of experience to design, develop, and deploy advanced artificial intelligence and machine learning solutions. The ideal candidate will have strong expertise in building scalable AI models, working with large datasets, and translating business problems into data-driven solutions. This role involves close collaboration with cross-functional teams to drive innovation and implement AI strategies that deliver measurable impact. 

Responsibilities: 

 

Design, develop, and optimize machine learning and deep learning models for real-world applications 

Lead end-to-end AI solution development, from data preprocessing to model deployment and monitoring 

Collaborate with data engineers, product teams, and stakeholders to define AI-driven solutions 

Evaluate and implement state-of-the-art algorithms in areas such as NLP, computer vision, and predictive analytics 

Build scalable data pipelines and ensure model performance, reliability, and efficiency 

Conduct model validation, testing, and performance tuning 

Mentor junior team members and provide technical leadership 

Stay updated with the latest advancements in AI and recommend adoption where relevant 

Ensure ethical AI practices, data privacy, and compliance standards are followed 

 

Mandatory skill sets: 

 

Strong proficiency in Python and AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) 

Deep understanding of machine learning, deep learning, and statistical modeling techniques 

Hands-on experience with NLP, computer vision, or recommendation systems 

Experience with cloud platforms (AWS, Azure, or GCP) and AI services 

Expertise in data structures, algorithms, and software engineering best practices 

Experience in deploying models using APIs, microservices, or MLOps frameworks 

Strong knowledge of SQL and working with large-scale datasets 

Version control systems (Git) and CI/CD pipelines 

Excellent problem-solving and analytical skills 

 

Preferred skill sets: 

Experience with generative AI, large language models (LLMs), and transformer architectures 

Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) 

Knowledge of big data technologies (Spark, Hadoop) 

Experience in real-time AI applications and edge AI 

Exposure to domain-specific applications (finance, healthcare, retail, etc.) 

Understanding of responsible AI, explainability, and bias mitigation 

Experience leading AI projects or teams 

Strong communication and stakeholder management skills 

Years of experience required: 

3yrs-5yrs 

Education qualification: 

BE/ B.Tech/ M.Tech 

 

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Machine Learning (ML)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Documentation Development, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Optimism, Performance Assessment, Performance Management Software, Problem Solving, Product Management, Product Operations, Project Delivery {+ 11 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

July 16, 2026

AI Engineering pay context

Based on 578 disclosed AI Engineering salaries on RoleSuite, the role pays a median of $205K/year, with most offers between $167K and $242K (10th–90th percentile: $131K–$275K).

See the full AI Engineering salary breakdown →
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