{"id":5693,"date":"2026-03-29T03:25:36","date_gmt":"2026-03-29T03:25:36","guid":{"rendered":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/were-hiring-in_associate_machine-learning-engineer-generative-ai-_da-_advisory-_kolkata\/"},"modified":"2026-03-29T03:25:36","modified_gmt":"2026-03-29T03:25:36","slug":"were-hiring-in_associate_machine-learning-engineer-generative-ai-_da-_advisory-_kolkata","status":"publish","type":"post","link":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/were-hiring-in_associate_machine-learning-engineer-generative-ai-_da-_advisory-_kolkata\/","title":{"rendered":"We\u2019re Hiring IN_Associate_Machine Learning Engineer &#8211; Generative AI _D&#038;A _Advisory _Kolkata"},"content":{"rendered":"<p>Line of Service Advisory<span class=\"br\"><\/span>Industry\/Sector Not Applicable<span class=\"br\"><\/span>Specialism Data, Analytics &#038; AI<span class=\"br\"><\/span>Management Level Associate<span class=\"br\"><\/span>Job Description &#038; Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.<span class=\"br\"><\/span>In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.<span class=\"br\"><\/span>*Why PWC<span class=\"br\"><\/span>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 .<span class=\"br\"><\/span>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\u2019s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. &#8220;<span class=\"br\"><\/span>Job Description: Machine Learning Engineer &#8211; Generative AI<span class=\"br\"><\/span>Experience: 3-6 years<span class=\"br\"><\/span>Job Description &#038; Summary<span class=\"br\"><\/span>As a Machine Learning Engineer, you will be a key member of the engineering team responsible for the advanced technical support, development, and deployment of machine learning models, with a special focus on Generative AI. You will be a critical contributor to the design and implementation of end-to-end software lifecycles for AI and machine learning products, ensuring high-quality and scalable solutions. This role requires a deep understanding of both machine learning principles and software engineering best practices, with a proven track record of bringing complex models from research to production, particularly within the Microsoft Azure ecosystem.<span class=\"br\"><\/span><b>Responsibilities<\/b><\/p>\n<ul>\n<li>Lead the design, development, and deployment of production-level machine learning models, with a focus on generative AI models such as Large Language Models (LLMs), Generative Adversarial Networks (GANs), and Variational Autoencoders (VAEs).<\/li>\n<li>Provide advanced technical support for existing AI models, including bug fixes, addressing complex issues, and facilitating model expansion for new business cases.<\/li>\n<li>Act as a liaison between data scientists, cloud engineers, data engineers, and the business team to diagnose and resolve issues related to model performance and deployment.<\/li>\n<li>Lead the continuous improvement of support processes and workflows for ML applications.<\/li>\n<li>Develop, monitor, and maintain end-to-end machine learning pipelines (MLOps) including data preparation, feature engineering, model training, and deployment.<\/li>\n<li>Utilize Azure AI Foundry to build, test, and deploy cutting-edge AI-driven solutions and generative AI applications.<\/li>\n<li>Build model performance benchmarking, evaluation, and monitoring capabilities.<\/li>\n<li>Assess model performance to understand bugs, inefficiencies, and their root cause.<\/li>\n<li>Document and communicate best practices and troubleshooting procedures to support teams and stakeholders.<\/li>\n<li>Coordinate and mentor the Machine Learning Engineering team, promoting best practices and code quality.<\/li>\n<li>Stay current with the latest advancements in AI and machine learning technologies to provide informed support and recommendations.<\/li>\n<\/ul>\n<p><b>Required Skills<\/b><\/p>\n<ul>\n<li>Minimum 3-6 years of experience in creating, deploying, monitoring, and maintaining machine learning models in cloud environments.<\/li>\n<li>At least 2-3 years of hands-on experience in developing and deploying Generative AI models.<\/li>\n<li>Strong experience working with advanced data analysis on large datasets.<\/li>\n<li>Hands-on experience with Azure for managing the end-to-end ML lifecycle.<\/li>\n<li>Proven experience with Azure AI Foundry for building and deploying AI-driven solutions.<\/li>\n<li>Familiarity with Snowflake and its AI\/ML offerings.<\/li>\n<li>Experience in both front-end(UI\/UX) and backend (API development, database management) technologies to build end-to-end solutions.<\/li>\n<li>Proficiency with data science and data engineering tools such as scikit-learn, XGBoost, pandas, NumPy, SciPy, and Jupyter notebooks.<\/li>\n<li>Strong understanding of software engineering tools and practices (Python, Git, CI\/CD principles).<\/li>\n<li>Strong understanding of front-end technologies(like Javascript, React, Angular) and backend frameworks (eg Flask, Django)<\/li>\n<li>Experience with visual analytics platforms (e.g., Tableau, Streamlit).<\/li>\n<li>Database and other data storage technologies<\/li>\n<li>System infrastructure knowledge in Linux (Bash, Docker, CRON, Apache Airflow).<\/li>\n<li>Excellent problem-solving skills and attention to detail.<\/li>\n<li>Must be able to function independently as well as work in a collaborative team environment.<\/li>\n<li>Willingness to teach and learn new technologies.<\/li>\n<\/ul>\n<p> Mandatory skill sets:<span class=\"br\"><\/span>Must have rich experience building Operational Data stores, Data marts and Enterprise Data warehouse -Must have very good SQL skills (Specifically in Oracle, MySQL) -Should be able to create and execute ETL designs and test cases should be able to write complex SQL queries for testing\/analysis depending upon the functional\/technical requirement. -Should have worked on performance optimization, error handling, writing stored procedures, etc.<span class=\"br\"><\/span><b>Preferred skill sets:<\/b><span class=\"br\"><\/span>Demonstrate ability to communicate effectively with both Technical &#038; Business stakeholders -Should have Understanding of data modelling, Data warehousing concepts<span class=\"br\"><\/span>&#8211; Should have worked on performance optimization, error handling, writing stored procedures, etc.<span class=\"br\"><\/span>Years of experience required:<span class=\"br\"><\/span>4 \u2013 7 yrs<span class=\"br\"><\/span><b>Education qualification:<\/b><span class=\"br\"><\/span>Btech\/MBA\/MCA<span class=\"br\"><\/span>Education (if blank, degree and\/or field of study not specified) Degrees\/Field of Study required: Bachelor of Technology, Master of Business Administration<span class=\"br\"><\/span>Degrees\/Field of Study preferred:<span class=\"br\"><\/span>Certifications (if blank, certifications not specified)<span class=\"br\"><\/span>Required Skills Extract Transform Load (ETL)<span class=\"br\"><\/span>Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Strategy {+ 22 more}<span class=\"br\"><\/span>Desired Languages (If blank, desired languages not specified)<span class=\"br\"><\/span>Travel Requirements Not Specified<span class=\"br\"><\/span>Available for Work Visa Sponsorship? No<span class=\"br\"><\/span>Government Clearance Required? No<span class=\"br\"><\/span>Job Posting End Date February 5, 2026<\/p>\n<p><center><b><a rel=\"nofollow noopener\" href=\"https:\/\/jobviewtrack.com\/v2\/-Zyyiw0yMRFu_-1EGBI4fw7-yQVFOjs5kheNvrRabPoUkZsJ0LILQUKa9TeVB-QlDL5X7Qh-klmKuBdQU7AzaCsrKf-9HN7zFv_LIpo6S77KGTajQSnWpQBv9rfpCMqiw94sCe6Ehuwyq626N9WUyVYq-x7zcVZwwxyUf464xthgsSZ4HzLmP8b_RQcZ2spAHzRV96_ec2BrMvk4gChPCw?affid=1e18623d919a855447a16dd0557b1bec\" class=\"button purchase\" target=\"_blank\">Apply Now<\/a> <\/b><\/center><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Line of Service Advisory Industry\/Sector Not Applicable Specialism Data, Analytics &#038; AI Management Level Associate Job Description &#038; Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[66],"tags":[],"class_list":["post-5693","post","type-post","status-publish","format-standard","hentry","category-django-jobs"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"jetpack-related-posts":[],"jetpack_shortlink":"https:\/\/wp.me\/pgs0IK-1tP","_links":{"self":[{"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/posts\/5693","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/comments?post=5693"}],"version-history":[{"count":0,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/posts\/5693\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/media?parent=5693"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/categories?post=5693"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/tags?post=5693"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}