Senior AI/ML Engineer

We are seeking a versatile Senior AI/ML Engineer to architect and implement the end-to-end lifecycle of intelligent, data-driven systems. You will bridge the gap between robust data engineering and advanced model development, ensuring that our AI initiatives are grounded in high-quality data and scalable infrastructure. Whether you are fine-tuning Large Language Models (LLMs), building Retrieval-Augmented Generation (RAG) frameworks, or modernizing petabyte-scale data warehouses, you will be the technical lead driving innovation for our clients, + Model Lifecycle & Development: Lead the design and implementation of ML solutions across the entire lifecycle, including supervised, unsupervised, and deep learning architectures.

• LLM Fine-Tuning & Customization: Implement and integrate generative AI models and LLMs, including custom fine-tuning, prompt engineering, and deployment for specialized applications.
• RAG & Vector Search: Design and implement Retrieval-Augmented Generation (RAG) architectures using Vertex AI Vector Search to ground model responses in enterprise data.
• Multimodal Innovation: Explore and deploy multimodal use cases involving audio, video, or image data.

• MLOps & Productionization

• Pipeline Orchestration: Implement MLOps practices and tools for model deployment, monitoring, versioning, and pipeline orchestration using Docker, Kubernetes, and Airflow.
• Operational Excellence: Operationalize machine learning models on large datasets, ensuring performance tuning, capacity planning, and system monitoring/alerting.
• Serving Frameworks: Build and maintain high-quality model serving frameworks and API integrations using FastAPI, Cloud Run, or GKE.

• Data Solutions & Infrastructure

• Data Warehouse Modernization: Architect complete data warehouse solutions on BigQuery, including star/snowflake schema designs, query optimization, and ETL/ELT pipelines.
• Data Pipelines: Build end-to-end data pipelines for structured / unstructured data ingestion, including chunking strategies, embedding generation, and metadata management.

• Technical Leadership & Pre-Sales

• Technical Leadership & Mentorship: Provide deep technical guidance and mentorship to junior engineers, sharing best practices and troubleshooting techniques while fostering a culture of continuous improvement.
• Strategic Pre-Sales: Collaborate as a lead technical expert in strategic pre-sales engagements, delivering expert solution demonstrations and crafting compelling technical proposals.
• Workshops: Conduct in-depth workshops to address complex client needs and business strategies.

• Be AmbITious: This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career.

• Experience: 5+ years in IT with 4+ years specifically designing and implementing ML solutions, preferably in a technical consulting environment.
• Programming Mastery: High proficiency in Python (Pandas, Polars, NumPy, Scikit-learn, XGBoost, TensorFlow/PyTorch) and experience in Java, Scala, or Go.
• GCP Expertise: Expert-level experience with Vertex AI (Workbench, Model Garden), BigQuery, and Cloud Storage.
• Data Proficiency: Hands-on experience with production-grade data solutions (relational and NoSQL) and preferably big data frameworks like Hadoop or Spark.
• Technical Communication: Excellent ability to articulate complex technical concepts to both technical and non-technical audiences.

We're legendary for taking care of you, your family and to help you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include:

• Freedom to work from another location-even an international destination-for up to 30 consecutive calendar days per year.
• Medical Insurance
• Health Benefits
• Professional Development: Learning Platform and Certificate Reimbursement
• Shift Allowance

But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities.

Insight at a Glance * 14,000+ engaged teammates globally with operations in 25 countries across the globe. * Received 35+ industry and partner awards in the past year * $9.2 billion in revenue * #20 on Fortune's World's Best Workplaces list * #14 on Forbes World's Best Employers in IT - 2023 * #23 on Forbes Best Employers for Women in IT- 2023 * $1.4M+ total charitable contributions in 2023 by Insight globally Now is the time to bring your expertise to Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in cloud, data, AI, cybersecurity, and intelligent edge, we guide organisations through complex digital decisions., At Insight, we celebrate diversity of skills and experience so even if you don't feel like your skills are a perfect match - we still want to hear from you! Today's talent leads tomorrow's success. Learn more about Insight: https://www.linkedin.com/company/insight/ Insight does not accept unsolicited resumes from recruiters or employment agencies. Unsolicited resumes will be treated as direct applications from the candidate, and recruiters or agencies who submit candidates for this position without a prior, written vendor agreement will not be eligible for any form of compensation, even if the candidate is hired. Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. Insight India Location:Level 16, Tower B, Building No 14, Dlf Cyber City In It/Ites Sez, Sector 24 &25 A Gurugram Gurgaon Hr 122002 India Job Segment: Pre-Sales, Social Media, Data Warehouse, Developer, Cyber Security, Sales, Marketing, Technology, Security