Ai/ml Technical Lead Job at 3Pillar Global (Noida)

AI/ML Technical Lead

AI/ML Technical Lead is responsible for defining, operationalizing, and governin...

Location

United States , Atlanta

Salary:

Not provided

Tier4 Group

Expiration Date

Until further notice

Requirements

10+ years in data, analytics, or AI technology roles with progressive leadership responsibility
Demonstrated experience designing and deploying AI solutions in regulated environments
Strong understanding of: Predictive modeling and ML techniques, LLMs, GenAI architectures, and vendor platforms, Cloud-based AI ecosystems
Proven success managing vendors and external partners
Ability to operate autonomously with limited staff support

Job Responsibility

Co-create and own the enterprise AI strategy in partnership with the CDAIO and Head of Data & Analytics
Define a multi-year AI roadmap spanning: Traditional predictive / statistical models, Machine learning and decision intelligence, LLM-enabled and agent-based capabilities
Balance innovation with risk, regulatory posture, and operational readiness
Define AI reference architectures including: Model lifecycle management, Data pipelines and feature stores, LLM orchestration, RAG patterns, and model hosting strategies
Ensure alignment with enterprise data platforms, cloud strategy, and security architecture
Establish guardrails for scalability, cost control, and vendor lock-in mitigation
Lead selection, contracting input, and ongoing oversight of AI vendors and system integrators
Serve as technical authority in vendor solution design and delivery quality
Drive outcome-based vendor accountability tied to measurable business value
Partner closely with the CISO, Legal, Compliance, and Risk functions to: Define AI risk controls and model governance standards, Ensure safe, explainable, and auditable AI usage, Establish policies for LLM usage, data privacy, and model monitoring

Fulltime

AI/ML Technical Lead

We build breakthrough software products that power digital businesses. We are an...

Location

India , Noida

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

7+ years of experience in AI/ML development, including leading technical teams
Strong expertise in agentic AI concepts, multi-agent orchestration, and autonomous tool-using AI systems
Hands-on experience with LangChain (chains, agents, custom tools, memory, LLM orchestration)
Experience in Agentic AI
Experience in Computer Vision
Proficiency with modern LLMs (OpenAI, Anthropic, Llama, Mistral, etc.) and fine-tuning methods
Deep knowledge of Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)
Experience building and deploying RAG systems using vector databases (Pinecone, Chroma, Weaviate, etc.)
Strong understanding of ML Ops, CI/CD, containerization (Docker), and cloud platforms (AWS, GCP, Azure)

Job Responsibility

Lead the design, development, and deployment of advanced AI/ML solutions, including LLM-powered applications
Architect and implement agentic AI workflows, multi-agent systems, and autonomous reasoning pipelines
Build scalable applications using LangChain, retrieval-augmented generation (RAG), vector databases, and tool integrations
Mentor and lead a team of ML engineers, data scientists, and AI developers
Collaborate with cross-functional teams (Product, Engineering, Data) to define AI strategies and roadmaps
Optimize model performance, latency, reliability, and cost efficiency
Evaluate new AI frameworks, libraries, and models for integration into the stack
Ensure best practices for code quality, ML Ops, versioning, testing, and monitoring

Fulltime

New

Technical Lead – AI/ML

Technical Lead – AI/ML to lead the design and delivery of enterprise-grade agent...

Location

United States , Atlanta

Salary:

Not provided

Acuver Consulting

Expiration Date

Until further notice

Requirements

8–12 years in software/AI engineering, including 2+ years leading teams or owning technical delivery as a hands-on lead
Demonstrated domain exposure in commerce/retail, e-commerce, fulfillment, logistics, or supply chain
Track record shipping AI/ML systems to production in enterprise or client-services settings
Strong communication and presence
Proven, hands-on experience designing and shipping enterprise-grade agentic AI systems to production
Deep expertise with agent frameworks (LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent)
Expert LLM integration: function/tool calling, structured outputs, retrieval-augmented generation (RAG), agent memory, and knowledge retrieval
Production hardening of agentic systems: agent evaluation and regression testing, guardrails and safety, observability/tracing, prompt and context management, and cost/latency optimization
Model Context Protocol (MCP): designing and deploying MCP servers for tool and resource integration
Human-in-the-loop and approval workflows for high-stakes autonomous actions in enterprise environments

Job Responsibility

Own end-to-end technical design and delivery of enterprise-grade agentic AI systems — from architecture through production, reliability, and handover
Lead a small engineering pod: set technical direction, run design and code reviews, mentor engineers, and remain hands-on writing production code yourself
Translate ambiguous business problems in commerce, fulfillment, and supply chain into well-scoped agentic workflows with clear success metrics and guardrails
Architect multi-agent pipelines with tool/function calling, retrieval (RAG), memory, orchestration, evaluation, and human-in-the-loop controls
Establish engineering standards for agent evaluation, observability, safety, cost, and latency, and drive them across the pod
Partner directly with client stakeholders and SMEs — leading discovery, shaping solution architecture, and presenting trade-offs to technical and executive audiences
Build and deploy Model Context Protocol (MCP) servers and reusable tools/integrations that let agents act safely across enterprise systems (OMS, WMS, CRM, data and commerce platforms)
Make pragmatic build-vs-buy and framework decisions and collaborate cross-functionally on requirements, sprint planning, and delivery
Lead the optimization phase: design optimization-based decisioning for inventory planning and warehouse slotting, integrating solvers and forecasts into agentic workflows

Fulltime

Application Development Technical Lead Analyst (Senior AI/ML Developer)

The Applications Development Technology Lead Analyst is a senior level position ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6-10 years of relevant experience in Apps Development or systems analysis role
Extensive experience system analysis and in programming of software applications
Experience in managing and implementing successful projects
Subject Matter Expert (SME) in at least one area of Applications Development
Ability to adjust priorities quickly as circumstances dictate
Demonstrated leadership and project management skills
Consistently demonstrates clear and concise written and verbal communication
Bachelor’s degree/University degree or equivalent experience

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made

Fulltime

Qa Lead – Ai/Ml Systems

We are looking for an experienced QA Lead – AI Systems to lead the validation an...

Location

India , Pune

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Biomedical Engineering, or related field
8–12 years of total QA experience, with 2–3 years directly in AI/ML or GenAI QA
Proven experience in AI Model Validation, LLM/RAG Testing, and AI Evaluation Metrics
Strong knowledge of MLOps concepts and cloud platforms (Azure ML, AWS Sagemaker, Vertex AI)
Understanding of FDA AI/ML Compliance, SaMD testing, and regulated software QA
Hands-on expertise in Python automation and testing AI/ML pipelines
Excellent documentation and communication skills with ability to produce traceable validation artifacts

Job Responsibility

Own and drive QA strategy for AI systems across the model, data, and product lifecycle
Lead AI model validation efforts, covering LLM/RAG testing, bias analysis, and performance evaluation
Define and implement AI Evaluation Metrics (accuracy, fairness, drift, explainability) aligned with business and regulatory expectations
Establish frameworks for Explainability Testing (SHAP, LIME, XAI) and ensure interpretability of AI outcomes
Collaborate with Data Science and MLOps teams to validate models within cloud environments (Azure ML, AWS Sagemaker, Vertex AI)
Drive verification and validation (V&V) for AI models and applications under FDA and SaMD compliance frameworks
Ensure test traceability, documentation, and audit readiness in line with ISO 13485, IEC 62304, and ISO 14971
Develop Python-based automation for AI testing, data validation, and model evaluation pipelines
Provide technical leadership to QA teams, ensuring alignment with AI/ML development best practices
Collaborate with cross-functional teams (Product, Data, Regulatory, Engineering) to identify risks, gaps, and opportunities for test optimization

Fulltime

Technical Lead – AI & IOT

We are seeking a Technical Lead with strong retail technology experience to driv...

Location

India , Pune

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

8–12+ years in engineering or architecture roles, with at least 3–5 years in retail technology. Hands-on experience with Azure Services (Synapse, IoT Hub, Event Hub, Functions, APIM, AKS, AAD, Blob Storage, Monitor). Strong knowledge of microservices, API design, event-driven systems, DevOps, and cloud security.
Understanding of store operations, loss prevention, planogram execution, inventory workflows, demand forecasting, and supply chain processes.
Familiarity with AI/ML platforms, CV-based analytics, and streaming data architectures (Event Hub, Kafka, etc.). Experience with RAG/GenAI is a plus.
Proven ability to lead technical teams, collaborate with external partners, and deliver complex programs in fast-paced environments.
Azure Solutions Architect (AZ-305)(preferred, not mandatory)
Azure Developer (AZ-204) or Azure DevOps (AZ-400)(preferred, not mandatory)
Relevant retail technology or cloud certifications (preferred, not mandatory)

Job Responsibility

Own and drive the end-to-end technical execution of cloud, AI, and IoT-based retail modernization initiatives
Develop scalable, secure Azure-native architectures and oversee implementation through production rollout
Work closely with engineering partners and cross-functional teams to deliver prioritized retail use cases
Integrate data across POS, ERP, CRM, inventory, supply chain, and IoT devices using Azure services
Implement reliable real-time and batch data pipelines for analytics, monitoring, and automation
Ensure security, governance, and observability across environments
Convert retail workflows such as shrink reduction, planogram compliance, store operations optimization, footfall analytics, and inventory accuracy into scalable technical solutions
Enable data-driven decision making through automation, AI, and analytics
Act as the technical owner and primary point of contact for cloud and AI initiatives
Manage backlog, technical milestones, architecture reviews, and cross-team coordination

Fulltime

Senior Technical Lead - Data & AI (Oil & Gas)

At Codvo, we are committed to building scalable, future-ready data platforms tha...

Location

India , Pune

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Experience: 12+ years in technical roles, with at least 4+ years in a technical leadership or principal engineer capacity, managing cross-functional engineering teams
Cloud Expertise: Expert-level, hands-on knowledge of Microsoft Azure as a primary platform
Data & AI Expertise: Proven mastery of Databricks and Apache Spark (PySpark)
Extensive experience designing and building large-scale ETL/ELT data pipelines
Strong understanding of AI/ML workflows and data requirements for industrial AI use cases
DevOps & IaC Expertise: Deep proficiency with Infrastructure as Code (Terraform, ARM templates)
Hands-on mastery of Kubernetes and containerization (Docker)
Proven experience building and managing complex CI/CD pipelines (Azure DevOps, Jenkins)
Cloud Security: Strong, practical knowledge of cloud network security (VNETs, NSGs, Firewalls) and identity management (Azure Key Vault, IAM)
Industry Knowledge: Experience in the Oil & Gas sector or a similar heavy-industry/critical infrastructure environment

Job Responsibility

Technical Leadership & Mentorship: Lead, mentor, and provide technical direction to a multi-disciplinary team of engineers (Data, DevOps, Security). Foster a culture of high technical standards, collaboration, and continuous improvement
Detailed Solution Design: Partner with the Solutions Architect and Project Manager to decompose high-level architecture into detailed technical designs, actionable tasks, and implementation plans for the engineering team
Hands-on Development: Act as the lead engineer, personally designing and building the most complex components of the solution, including data pipelines, IaC modules, and CI/CD frameworks
Cross-Functional Integration: Drive the seamless integration of diverse systems, including OT data from historians (OSIsoft PI), data platforms (Databricks), cloud infrastructure (Azure), and CI/CD pipelines (Azure DevOps)
Technical Governance & Quality: Enforce technical best practices across all domains. Conduct rigorous code reviews, design reviews, and security assessments. Ensure all solutions adhere to security-by-design principles, CI/CD automation standards, and data governance policies
Stakeholder Collaboration: Translate complex technical concepts and risks to the Project Manager and business stakeholders. Manage technical dependencies and help the PM with accurate effort estimation and milestone tracking
Problem Solving: Serve as the primary escalation point for the team's most complex technical challenges, leading root cause analysis and implementing robust, long-term solutions

Fulltime

Technical Lead / Engineering Manager, Full Stack - Gen AI

At Codvo, we are committed to building scalable, future-ready data platforms tha...

Location

India

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

10+ years of overall professional experience in software engineering, with a clear progression into technical leadership
3+ years of experience in a formal technical leadership or engineering management role (e.g., Tech Lead, Architect, or EM)
5+ years of hands-on-keyboard experience in backend, AI, or full-stack engineering
Expert-level proficiency in a primary backend language (e.g., Python, Node.js) and object-oriented design principles
4+ years of experience architecting, developing, and delivering AI/ML or cloud-native solutions on AWS
Bachelor's degree in Computer Science, Engineering, or a related technical field
Proven experience in leading, mentoring, and growing engineering teams
Demonstrable experience owning end-to-end project delivery, managing technical risks, and ensuring timely execution of milestones
Excellent communication and interpersonal skills
Demonstrable expertise in system design and architecture of complex, scalable, and secure distributed systems

Fulltime

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