AI ML Data Science Consultant

Job Title: AI ML Data Science Consultant

Location: Pune / Bangalore India

Duration: 612 months Contract to hire

Notice Period: Should be Immediate joiners (within a week he or she should join)

Job Description:

Exp Range: Overall 915 years of experience; might have shifted from software to Data Science role later (relevant exp. in Data Science 45 years of range expected)

What you bring:

Knowledge / Experience

Design build and optimize machine learning models for various applications such as natural language processing computer vision predictive analytics etc.

Data preprocessing and feature engineering: Clean preprocess and transform raw data into usable features for model training.

Good understanding of machine learning concepts around regression classification clustering dimensionality reduction etc.

Evaluate model performance using appropriate metrics and finetune hyperparameters to achieve optimal results.

Understanding of GenAI and its applications.

Ability to analyze and solve problems using learned techniques and tools.

Skills

Proficiency in Python.

Goodtohave: Experience in additional programming languages (Good to have Java or C# or both).

Hands on with frameworks and libraries like scikitlearn TensorFlow PyTorch Keras pandas etc.

Rest services using Flask or FastAPI

SQLAlchemy Pydantic data modelling

Experience of working with at least one relational database.

Experience with cloud platforms (e.g. AWS GCP Azure) and AI Studios.

Experience with MLOps

Solid software engineering skills (version control testing debugging).

Handson experience in solving practical problems using GenAI.

Qualifications

Bachelor’s degree in engineering or related field or the equivalent combination of education training or work experience

Competencies

Fluent in English

Excellent communicator – ability to discuss technical and commercial solutions to internal and external parties and adapt depending on the technical or business focus of the discussion.

Attention to detail – track record of authoring high quality documentation.

Organized approach – manage and adapt priorities according to client and internal requirements.

Selfstarter but team mindset work autonomously and as part of a global team