Job Description

Analytics Practice


Posted on Nov 26, 2025


Vadodara-Gujarat




Minimum Required Experience : 3 years


Full Time


Skills


SQL
LLM
GenAI
Spark/Pyspark
Pytorch
NLP
Python
TensorFlow
Description

Job Title: Data Scientist Engineer

Experience: 3+ years

Work Location: work from office from Vadodara, Ahmedabad, Bangalore, OR Hyderabad

With excellent analytical and problem-solving skills, you should understand business problems of the customers, translate them into scope of work and technical specifications for developing into Data Science projects. Efficiently utilize cutting edge technologies in AI, Generative AI areas and implement solutions for business problems. Good exposure technology platforms for Data Science, AI, Gen AI, cloud with implementation experience. Ability to provide end to end technical solutions leveraging latest AI, Gen AI tools, frameworks for the business problems. This Job requires the following:


Designing, developing, and implementing end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation)

Deep experience in predictive analytics and statistical modeling

Deep experience in successfully making use of the following: Logistic Regression Multivariate Regression, Support Vector Machines, Stochastic Processes, Decision Trees, Lifetime analysis, common clustering algorithms, Optimization, CNN

Essential Qualifications

B-Tech or BE - computer / IT or MCA or MSC- Computer Science along with necessary certifications is preferred

Technical Qualifications (Essential)

At least 2 to 3 ML apps deployed in production

At least 1 to 2 Gen AI apps in production.

Experience in Computer vision is a must.

Core ML experience is a must

Hands-on programming experience

Hands-on technical design experience

Hands-on prompt engineering experience

At least 3 Data Science, AI Projects designed, developed and delivered to production

At least 1 Generative AI Project designed, developed and delivered to production

Primary Skills

Hands-on coding experience in Python, PyTorch, Spark/PySpark, SQL, TensorFlow, NLP Frameworks and similar tools/frameworks Good understanding of business and domain of the applications Hands-on experience in design and development of Gen AI applications using Open Source LLMs and cloud platforms Hands-on experience in design and development of API based applications for AI and Data Science Projects Expertise in GenAI concepts, RAG and Models fine-tuning techniques Understand the concepts of major AI models such as OpenAI, Llama, Hugging Face, Mistral AI etc., and implementation experience Understanding of DevOps pipelines for deployment Good understanding of Data Engineering lifecycle - data pipelines, data warehouse, data lake

Secondary Skills

End to end data engineering project experience using Databricks and Azure Data platform Knowledge of any configuration management tools is desirable Familiarity with containerization and container orchestration services like Docker and Kubernetes

Functional & Technical Responsibilities

Understand customer's requirements (Business, Functional, Non-Functional etc.,), conduct feasibility study and develop technical specifications for Data Science, AI and Gen AI Projects Design and implement scalable solutions for Data Science, AI and Gen AI Projects using major technology and computing platforms (open source and cloud) Possess excellent analytical and problem-solving skills and be able to understand various forms of data, patterns and derive insights. Should be able to develop efficient Prompts to automate project activities using LLM tools and provide end to end solutions Provide Generative AI solutions for the business/automation requirements using open source LLMs (Open AI, Llama, Mistral etc.,) Collaborate internal and external stakeholders for deriving solution that requires cross functional teams and smoother execution of the projects Provide technical solutions to sales, pre-sales teams for the proposals Develop and guide team members in implementation of solutions related to Data Science, AI and Gen AI Projects Expert knowledge of data modeling and understanding of different data structures Experience with design of AI/ML solutions either as standalone or integrated with other applications

Sills / Competencies requirement

Research Orientation Proactive & Clear Communication Collaboration Solution Orientation Solution Articulation Accountability Adaptability / Flexibility Analytical Skills Listening Skills * Customer Service Orientation