Data Scientist | Trinity Consulting | Bangalore (Hybrid)

Trinity Consulting; Bengaluru; Hybrid; INR 900,000 - 1,400,000; Full time

Benefits offered by this job

Hybrid work mode

Competitive compensation

Job summary

Trinity Consulting Services in Bangalore seeks an experienced Data Scientist with strong ML, generative AI, and LLM expertise for a 6-month contract in a hybrid setup. You will own AI/ML model development, LLM orchestration, prompt engineering, and RAG architectures, collaborating with cross‑functional teams to deliver scalable, production‑grade solutions.

Responsibilities include framing business problems, defining metrics, designing and evaluating ML/LLM pipelines, and documenting

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Statistics or related field.
• 3–6+ years in data science, ML engineering, and AI development.
• Hands-on experience with classical ML algorithms and predictive modeling.
• Experience in LLM development, evaluation frameworks, and generative AI.
• Proficient in prompt engineering and multi-step reasoning pipelines.
• Experience with RAG systems using vector databases.
• Strong analytical, problem-solving and statistical design skills.
• Excellent English communication and ability to present to executives.

Responsibilities

• Frame business problems into structured ML/data science initiatives.
• Define, monitor, and optimize AI/ML performance metrics.
• Design, train, evaluate, and deploy classical ML algorithms and analytics pipelines.
• Develop and evaluate LLM-based solutions and generative AI workflows.
• Create advanced prompt engineering templates and interaction patterns.
• Architect and optimize RAG systems for enterprise knowledge retrieval.
• Conduct rigorous experiments, hypothesis testing, and model validation.
• Document model pipelines, evaluation results, and runbooks.

Skills

Data Science

Machine Learning

LLM development

Prompt engineering

RAG architectures

Vector databases

Agile

English communication

Education

Bachelor/Master in CS/AI/DS

Tools

Pinecone

Milvus

Chroma

LangChain

LlamaIndex

MLflow

Kubeflow

GitHub Actions

Docker

Job description

Position Summary

Trinity Consulting Services is actively seeking an experienced, high-caliber, and technical Data Scientist with a strong professional background in machine learning, generative AI, and large language model (LLM) solutions to join our client engineering team on a 6-month contract basis with a hybrid work mode in Bangalore. In this critical artificial intelligence and data science role, you will be responsible for framing complex business problems, developing predictive algorithms, and designing robust generative AI applications. You will leverage your deep specialist expertise in classical machine learning, LLM development and evaluation, prompt engineering, and retrieval-augmented generation (RAG) to deliver uncompromised model accuracy, high system scalability, and operational excellence. This opportunity offers competitive compensation, executive technical visibility, and exceptional career growth prospects within a premier global technology consulting and digital transformation enterprise.

Detailed Job Description

As a Data Scientist supporting Trinity Consulting in Bangalore, India, you will take full operational, tactical, and technical ownership of AI/ML model development, LLM orchestration, prompt engineering, and experiment design across mission-critical enterprise platforms. Your day-to-day responsibilities include framing ambiguous business problems into structured data science initiatives, defining and tracking AI/ML performance metrics, designing and training classical machine learning models, developing and evaluating advanced LLM-based solutions, crafting optimized prompt engineering strategies, building sophisticated retrieval-augmented generation (RAG) architectures, executing rigorous experiment designs, A/B testing, and model validation protocols, collaborating closely with cross-functional software engineering, product, data engineering, and executive stakeholder squads in Agile sprint cycles, preparing comprehensive technical documentation of model architectures, evaluation reports, and operational runbooks, and managing application requirements by sending your updated resume via direct email to Sinduja L at [e-mail]. You will utilize your proactive troubleshooting and analytical problem-solving skills to resolve complex algorithmic bottlenecks and model drift issues under strict service level agreements. Furthermore, you will manage application requirements ensuring strict compliance with the 6-month contract duration and hybrid work arrangement in Bangalore.

Key Responsibilities

• Frame complex business challenges into structured machine learning problems and data science deliverables.
• Define, monitor, and optimize rigorous AI/ML performance metrics and evaluation benchmarks across production models.
• Design, train, evaluate, and deploy classical machine learning algorithms and predictive analytics pipelines.
• Develop, fine-tune, and evaluate advanced Large Language Model (LLM) solutions and generative AI workflows.
• Author and optimize advanced prompt engineering templates and conversational AI interaction patterns.
• Architect, implement, and optimize retrieval-augmented generation (RAG) systems for enterprise knowledge retrieval.
• Execute rigorous experiment designs, statistical hypothesis testing, and model validation routines.
• Maintain accurate, comprehensive technical documentation of model pipelines, evaluation metrics, and operational runbooks.

Required Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related technical discipline.
• Minimum of 3 to 6+ years of progressive professional experience in data science, machine learning engineering, and AI development.
• Strong, demonstrable hands-on professional expertise in classical machine learning algorithms and predictive modeling.
• Comprehensive working knowledge and practical proficiency in LLM development, evaluation frameworks, and generative AI.
• Deep practical experience crafting advanced prompt engineering strategies and multi-step reasoning pipelines.
• Solid practical experience architecting and deploying retrieval-augmented generation (RAG) systems using vector databases.
• Exceptional analytical, problem-solving, and statistical experiment design capabilities under high-pressure conditions.
• Excellent written and verbal English communication skills with strong executive stakeholder presentation abilities.
• Mandatory legal work eligibility and physical availability for 6-month contract hybrid operations in Bangalore.

Nice-to-Have Skills

• Professional certifications such as AWS Certified Machine Learning Specialty, Google Cloud Professional Data Engineer, or TensorFlow Developer.
• Prior professional working experience in top-tier technology consulting firms, global system integrators (such as Wipro), or enterprise AI startups.
• Hands-on familiarity with vector search engines (Pinecone, Milvus, Chroma) and LLM orchestration frameworks (LangChain, LlamaIndex).
• Experience utilizing MLOps platforms (MLflow, Kubeflow) and CI/CD model deployment pipelines (GitHub Actions, Docker).
• Exposure to agile software development methodologies and enterprise IT service management (ITSM) ticketing platforms (ServiceNow, Jira).

Application Information

• Recruiter: Trinity Consulting Services Recruitment Division
• Contact Name: Sinduja L (Talent Acquisition)
• Email: `[e-mail]`
• Phone:
• Company Website: https://www.trinityconsulting.asia
• Salary/Rate: Market Competitive / 6-Month Contract Package
• Deadline: Open until filled (Urgent Bangalore Data Scientist Opening)
• Notice Period: Immediate to 15 Days Preferred
• Contract Duration: 6-Month Contract Engagement (Hybrid Work Mode)