AI Developer

Grid Dynamics; Hyderabad; Presencial; INR 1.500.000 - 2.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Bleeding-edge projects

Flexible schedule

Medical insurance

Sports

Professional development

Descripción de la vacante

Grid Dynamics in India is seeking a seasoned Data Scientist/AI Engineer to design, build and deploy ML models into production. You will work with large enterprise datasets, implement forecasting and AI solutions, and collaborate with cross-functional teams to deliver measurable business outcomes.

The role requires hands-on expertise in Python, ML frameworks, and MLOps practices, as well as strong communication and problem-solving skills. Bangalore/Hyderabad location is available.

Formación

• Experience across data science, ML engineering and AI solution deployment.
• Proven ability to work with large-scale enterprise datasets and deliver business outcomes.

Conocimientos

Time-series forecasting techniques

Statistical modelling

Feature engineering

Model evaluation frameworks

MLOps practices

Large Language Models

RAG architectures

Prompt engineering

Vector search

Embedding models

Agentic AI workflows

LangChain

LangGraph

LangSmith

AutoGen

Python

Pandas

NumPy

Scikit-Learn

XGBoost

RandomForest

LightGBM

PyTorch

TensorFlow

SQL

Herramientas

Python

Pandas

NumPy

Scikit-Learn

XGBoost

RandomForest

LightGBM

PyTorch

TensorFlow

SQL

Descripción del empleo

Job Description

Total Experience - 4 Years - 6 Years

Notice Period - Immediate - 15 days

Location- Bangalore/Hyderabad

Experience

• 5+ years of experience in Data Science, Machine Learning, AI Engineering, or Advanced Analytics.
• Demonstrated experience building and deploying ML models into production environments.
• Proven experience handling large-scale enterprise datasets.
• Experience delivering business outcomes through predictive analytics and AI solutions.

Technical Skills

Strong hands-on experience with:

• Python
• Pandas
• NumPy
• Scikit-Learn
• XGBoost
• RandomForest
• LightGBM
• PyTorch and/or TensorFlow
• SQL

Experience With

• Time-series forecasting techniques
• Statistical modelling
• Feature engineering
• Model evaluation frameworks
• MLOps practices

AI & GenAI Skills

Hands-on experience with:

• Large Language Models (LLMs)
• RAG architectures
• Prompt engineering
• Vector search
• Embedding models
• Agentic AI workflows
• LangChain
• LangGraph
• LangSmith
• AutoGen or equivalent frameworks

Preferred Qualifications

• Experience building forecasting models in financial, operational, planning, supply chain, treasury, payments, banking, or risk domains.
• Experience developing decision intelligence or optimization platforms.
• Familiarity with Monte Carlo simulation, scenario analysis, and probabilistic forecasting.
• Experience with Power BI and executive analytics.
• Experience working within regulated enterprise environments.
• Experience building multi-agent AI systems and orchestration frameworks.

Desired Behaviours

• Strong ownership mindset.
• Highly analytical and data-driven.
• Comfortable working independently in ambiguous environments.
• Excellent problem-solving skills.
• Strong written and verbal communication.
• Ability to challenge assumptions constructively.
• Passion for emerging AI technologies and innovation.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.