Senior Software Engineer - Machine Learning (ML, GenAI, SQL)

Gartner; Gurugram District; Hybrid; INR 1,800,000 - 2,500,000; Full time

Benefits offered by this job

World-class benefits

Highly competitive compensation

Flexible work environment

Job summary

Gartner is searching for an AI/ML Engineer to join a new team focused on innovative product development. This role involves leading ML feature design, architecting applications, and working with cutting-edge technologies in a hybrid work environment.

The ideal candidate will possess a degree in Computer Science and several years of experience in application productionization, especially within the AWS ecosystem. Competitive compensation and a vibrant work culture await.

Qualifications

• 4-7 years of experience developing customer-facing products or data applications.
• Experience in building and scaling GenAI applications with LLM.
• Strong hands-on experience with AWS services like SageMaker and Lambda.

Responsibilities

• Lead the design and delivery of ML features from start to finish.
• Create and maintain data pipelines for ML workloads.
• Operationalize models and monitor their performance.

Skills

ML application productionization

AWS or GCP expertise

Machine learning algorithms

Communication skills

Database experience

Education

Bachelor's or Master's degree in Computer Science

Foreign equivalent degree

Tools

PyTorch

TensorFlow

FAISS

OpenSearch

Job description

About the Role

Gartner is looking for passionate, creative data engineers who are excited to foray into any technology and create innovative products for end users. We are looking for exceptional talent for the Innovation Team which works on new growth products for the future. The team is responsible for R&D into new areas and come up with rapid solutions that can be taken to the market.

What you’ll do

• Be a part of a new energetic team of engineers delivering fresh products.
• Work as an AI/ML Engineer.
• Work with Open-source frameworks and create new packages.
• Work in a fast‑paced environment along with passionate, technology rock stars.
• Lead the design and delivery of ML features end‑to‑end: problem framing, data prep, modeling, evaluation, deployment, and monitoring.
• Architect and ship GenAI applications – RAG pipelines, agentic workflows, MCP use, structured outputs – using LLMs from OpenAI, Anthropic, and other open‑source models.
• Own retrieval systems: embeddings, chunking strategies, hybrid search, re‑ranking and relevance tuning at scale.
• Design and maintain data pipelines (batch and streaming) that feed ML and GenAI workloads – ingestion, transformation, feature engineering.
• Operationalize models: containerization, CI/CD, inference optimization, cost/latency tuning, drift and quality monitoring.
• Follow coding standards, build appropriate unit tests, integration tests and deployment scripts.
• Continuously problem‑solve to create secure and simple solutions.
• Create a robust backend for massive scalability and high performance.
• Bring to life elegant and modern data solutions.

What you’ll need

• Bachelor's or Master's degree in Computer Science or related engineering field with experience in software development.
• 4–7 years of experience developing customer‑facing products or data applications.
• Expertise in productionization of ML‑based applications right from identifying correct model, training, testing and deploying model in production at scale.
• Experience in production GenAI‑based application: building and scaling with LLM APIs, prompt engineering, RAG, embeddings, and rigorous evaluation of LLM outputs (faithfulness, hallucination, toxicity).
• Strong hands‑on AWS experience or similar (GCP/Azure) – model deployment and data infrastructure on services such as SageMaker, Bedrock, Lambda, ECS/EKS, S3, EMR, and OpenSearch Service.
• Experience with vector stores (FAISS, Pinecone, Milvus, Weaviate) and embedding model selection/evaluation.
• Exposure to OpenSearch – hands‑on experience with vector search, hybrid retrieval, ingest/search pipelines, k‑NN queries, index design, and relevance tuning.
• Strong experience in writing and implementing machine learning algorithms in PyTorch/TensorFlow/Spark plus scikit‑learn.
• Strong exposure to classical ML (regression, tree‑based methods, gradient boosting) or deep learning (CNNs, RNNs) or generative AI (Transformers, Diffusion).
• Experience with database – relational or NoSQL.
• Ability to lead technical discussions, mentor others, and communicate trade‑offs clearly to both engineering and product stakeholders.
• Excellent communication and interpersonal skills.

Who you are

• Bachelor’s degree or foreign equivalent degree in Computer Science or a related field required.
• Excellent communication skills.
• Able to work independently or within a team proactively in a fast‑paced AGILE‑SCRUM environment.
• Owns success – takes responsibility for the successful delivery of the solutions.
• Strong desire to improve upon their skills in tools and technologies.

What do we offer

Gartner offers world‑class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide flexibility and support for you to thrive – working virtually when it’s productive and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Equal Employment Opportunity

The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964‑0096 or by sending an email to [e-mail].