Insight Global
Website:
insightglobal.com
Job details:
We are looking for a Senior to Lead level AI/ML Engineer to suport the design, development and integration of AI capabilities in an enterprise environment.
Title: Senior or Lead AI/ML Engineer
Company: Q2 via Insight Global: Digital Banking Solutions for Banks and Credit Unions | Q2
Employment: Full time with Insight Global
Duration of Client Engagement: 12 months + likely to extend
Start date: Immediate joiners or MAXIMUM 30 day notice period
Location: Hybrid in Bangalore (3x a week onsite)
Interviews: 1 round interview
Pay: 7-$20 LPA
This Senior or Lead‑level AI/ML Engineer will support the design, development, and integration of AI capabilities within an AWS‑centric ecosystem. This role will focus on building and operating MCP servers, optimizing small language models (SLMs), and enabling agent‑based workflows aligned to near‑term (Q2) use cases. Engineers will work hands‑on with requirements, documentation, configurations, and multiple data sources to design scalable AI services. The role also involves supporting data traversal and transformations, integrating with Snowflake‑backed pipelines, and ensuring solutions align with existing AWS hosting and integration patterns (including AWS Bedrock). Candidates must be local to India and able to work onsite 3 days per week
Required Skills & Experience
- 4+ years of experience in AI/ML engineering
- Strong hands‑on experience with AWS, including AWS Bedrock
- Experience building and managing MCP servers
- Exposure to LLMs, ML models, and AI system architecture
- Strong Python programming skills
- *Experience working on at least 1–2 AI/ML projects
- *Experience with data processing, transformations, and Snowflake
- *Ability to work from office 3 days per week (India)
Day-to-Day:
- Design and implement Knowledge Graph pipelines using industrial structured and unstructured data
- Develop AI architectures that combine graph reasoning and generative AI capabilities
- Build and orchestrate multi-agent systems for complex decision-making workflows • Architect and manage graph database environments
- Develop scalable, reusable, research-grade Python applications
- Extract and synthesize information from heterogeneous data sources
- Collaborate with cross-functional research and engineering teams
- Transform advanced research concepts into industrial prototypes and production-ready solutions
- Support AI-driven insights and reasoning for energy and cyber-physical systems
Required Skills & Experience
- Master's degree with 2+ years of relevant experience OR PhD in Computer Science, Electrical Engineering, Mathematics, AI, Knowledge Representation, Reasoning, or related field
- Expertise building Knowledge Graphs from structured and unstructured data
- Experience integrating graph-based reasoning with Generative AI
- Proven experience designing and deploying multi-agent workflows
- Hands-on experience with graph databases such as Neo4j, Amazon Neptune, or equivalent
- Advanced Python development skills, including writing, debugging, and maintaining production-quality code
- Willingness to travel at least 2 weeks per year
Nice to Have Skills & Experience
- Experience working with multimodal data (text, imagery, time-series data, code repositories)
- Knowledge of cyber-physical systems • Understanding of industrial control systems (ICS)
- Strong technical communication and presentation skills
- Experience leading or contributing to advanced research initiatives
- Background in industrial AI, energy, or infrastructure environments
Compensation:
Exact compensation may vary based on several factors, including skills, experience, and education.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
Click on Apply to know more.
