Senior Associate_ML Engineer_Data and Analytics_Advisory

Job Description Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.

Responsibilities

2. ML engineer

3-5 years of experience as AI/ML engineer or similar role.

Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

Hands-on experience with model development and deployment processes.

Proficiency in programming languages such as Python.

Experience with data preprocessing, feature engineering, and model evaluation techniques.

Familiarity with cloud platforms (e.g., AWS) and containerization (e.g., Docker, Kubernetes).

Familiarity with version control systems (e.g., GitHub).

Proficiency in data manipulation and analysis using libraries such as NumPy and Pandas.

Good to have knowledge of deep learning, ML Ops Kubeflow, MLFlow, Nextflow.

Knowledge on text Analytics, NLP, Gen AI

Mandatory skill sets

Gen AI, Python

Preferred skill sets

Gen AI, Python

Years of experience required

3 - 5

Education qualification

B.Tech / M.Tech / MBA / MCA

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

Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration, Master of Engineering

Degrees/Field of Study preferred