Manager, AI/ML Engineer Job at Pfizer (Mumbai)

AI/ML Engineer - Agentic

The AI/ML Engineer – Agentic is a senior individual contributor responsible for ...

Location

United States , San Jose

Salary:

136500.00 - 276500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, engineering, information systems, or closely related quantitative discipline
Typically, 4-7 years’ experience
Production experience with agentic frameworks: LangGraph (preferred), Claude Agent SDK, or equivalent (not just prototypes)
Deep understanding of multi-agent architectures: supervisor/worker patterns, hierarchical agent graphs, ReAct loops, ReWoo
Hands-on with inter-agent communication protocols: MCP (Model Context Protocol), A2A, tool registry / server registry
LLM API integration at scale: structured outputs, streaming, function/tool calling, error handling
RAG pipeline design and optimization: chunking strategies, re-ranking, hybrid search
Vector store experience: OpenSearch or equivalent
Applied ML intuition: fine-tuning concepts, prompt engineering, evaluations, Qlora, PEFT
Backend development: FastAPI, gRPC, Kafka, Redis, message queues, Async System design: Python, API Design GraphQL and/or REST at enterprise scale

Job Responsibility

Design, build, and own a production-grade agentic orchestration platform, implementing scalable multi-agent workflows using frameworks such as LangGraph or equivalent
Architect, develop, and operate the MCP server infrastructure, including inter-agent communication, tool/server registries, domain isolation, versioning, and lifecycle management
Integrate and operate LLM services at enterprise scale, supporting streaming, structured outputs, tool/function calling, and robust error handling across agent workflows
Build and maintain retrieval and memory services for agentic systems, including RAG pipelines, OpenSearch-backed vector stores, hybrid search, and relevance optimization
Develop and operate high-performance backend services (FastAPI, gRPC, async systems, messaging) that power orchestration, tool execution, and agent runtime behavior
Own observability and reliability for non-deterministic systems, delivering end-to-end tracing, monitoring, and cost/performance visibility for agent executions
Manage cloud-native infrastructure and deployment, including Kubernetes workloads, containerized services, CI/CD pipelines, and resource optimization (CPU/memory, autoscaling)

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Ai/Ml Engineer

ORIL is seeking a highly skilled Senior AI/ML Engineer to architect and scale ou...

Location

Ukraine , Lviv

Salary:

Not provided

ORIL

Expiration Date

Until further notice

Requirements

5+ years of experience building and owning production-grade backend and ML systems in Python
Proven experience designing and deploying complex, multi-step LLM workflows and conversational agents (chatbots) using frameworks like LangChain or LangGraph
Deep understanding of RAG (Retrieval-Augmented Generation) pipelines: from chunking and embedding strategies to retrieval optimization and prompt engineering
Experience with “Text-to-SQL” or translating natural language into complex data queries, as the chatbot will interact heavily with BI analytics
Experience with LLM observability, tracing, and evaluation frameworks (e.g., Langfuse, Braintrust, Arize Phoenix, Ragas, or DeepEval)
Experience with systematic prompt lifecycle management, versioning, and algorithmic optimization (e.g., DSPy)
Experience profiling and minimizing time-to-first-token (TTFT) and overall response latency for real-time conversational agents
Strong analytical skills with the ability to explore datasets, identify patterns, measure outcomes, and derive actionable insights
Familiar with data cleaning and normalization techniques to ensure accurate, consistent, and reliable data for analysis and AI-driven applications
Curious about how multi-family real estate works and motivated to understand the key metrics behind the business (marketing spend, operational efficiency etc.) to better tune AI outputs

Job Responsibility

Design, develop, and own the core AI architecture powering the platform’s intelligent chatbot and automated BI insights
Build and refine advanced RAG pipelines to ensure the chatbot surfaces accurate
Develop robust AI agents capable of managing platform processes and executing complex operational tasks on behalf of the user
Set up and maintain automated CI/CD gates that run LLM evals and integration tests
Maintain a high shipping tempo, continuously iterating on chatbot features based on user feedback and internal telemetry
Diagnose and fix complex issues in the AI pipeline using advanced tracing and observability tools
Work closely with data engineers and product managers to refine the technical roadmap and ensure the AI seamlessly integrates with the broader BI platform.

What we offer

Ability to grow with an ambitious niche-focused company
Competitive compensation
Accounting Support Services
Flexibility to work from anywhere (fully remotely or in our office in Lviv)
Comprehensive day-off policy, including public holidays and special events
Education & certification budget + corporate education events and trainings
Wellness budget
The environment and culture that promotes personal and team development.

Senior AI/ML Engineer - Vice President

Location

India , Chennai; Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Strong expertise with 10+ years in microservices, RESTful APIs, and distributed architectures
Experience in the following AI/ML technologies
Development: Python, FastAPI, Java, Spring AI, Async Programming
Foundational Models: Gemini, OpenAI, Claude, Llama, Local Models
Machine Learning: PyTorch, TensorFlow, Fine-tuning
AI Frameworks: Google's ADK, LangChain, LlamaIndex, Hugging Face
Orchestration: LangGraph, Multi-Agent Systems
Retrieval Augmented Generation: PostgreSQL, Vector DBs, Advanced Retrieval
Deployment: Docker, Production APIs, Monitoring
Applied Methodology: Prompt Engineering, Workflow Design, GenAI Optimization

Fulltime

AI/ML Engineer

We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy sc...

Location

India , Bangalore

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Strong proficiency in Python for machine learning and software development
Hands-on experience with PyTorch for deep learning model development
Solid understanding of deep learning architectures (CNNs, transfer learning, etc.)
Practical experience in computer vision applications
Experience working with Databricks and large-scale data processing
Strong knowledge of AWS services for ML deployment (EC2, S3, SageMaker, etc.)
Experience with MLOps tools and practices (model deployment, monitoring, CI/CD)
Good understanding of software engineering principles and production-grade system design

Job Responsibility

Design, develop, and optimize machine learning and deep learning models using PyTorch
Build and deploy computer vision solutions for real-world use cases
Develop end-to-end ML pipelines, including data ingestion, preprocessing, training, validation, and deployment
Implement and maintain MLOps workflows for model versioning, monitoring, CI/CD, and retraining
Deploy and scale ML models on AWS cloud infrastructure
Work with large-scale datasets using Databricks and distributed computing frameworks
Collaborate with data scientists, product managers, and software engineers to translate business requirements into AI solutions
Ensure high code quality by following software engineering best practices (modular design, testing, documentation)
Monitor model performance in production and continuously improve accuracy, efficiency, and reliability

Fulltime

Ai/Ml Engineer

We are seeking an AI/ML Engineer to build, deploy, and scale machine learning mo...

Location

United States , Jacksonville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Strong programming experience in Python
Hands-on experience with ML frameworks (TensorFlow, PyTorch, or similar)
Experience deploying ML models into production environments
Solid understanding of machine learning concepts and workflows

Job Responsibility

Design, build, and deploy machine learning models in production environments
Develop and manage data pipelines to support model training and inference
Collaborate with data scientists, engineers, and business stakeholders
Optimize model performance, scalability, and reliability
Monitor deployed models and continuously improve performance
Implement best practices for versioning, testing, and model lifecycle management
Work with large and complex datasets to extract meaningful insights

What we offer

Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance
Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan

Senior AI/ML Engineer (Healthcare experience)

Location

United States

Salary:

Not provided

Binariks

Expiration Date

Until further notice

Requirements

8+ years of experience designing and implementing highly secure, scalable, and fault-tolerant distributed systems
Proficiency in Python with a deep understanding of async programming, streaming, and related concepts
Experience with AI driven development using GitHub Copilot is required
Hands-on experience in developing and deploying AI/ML solutions
Strong expertise in programming languages such as Python or Java
Experience working with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes)
Familiarity with life science or healthcare domain
Excellent communication, problem-solving, and collaboration skills

Job Responsibility

Design, develop, and deploy scalable AI systems to securely manage and process highly sensitive healthcare data
Stay current with emerging technologies, industry trends, and regulatory requirements in the life sciences and AI fields
Fine-tune large language models (LLMs) and implement natural language processing (NLP) solutions for complex language comprehension tasks
Collaborate with cross-functional teams to translate business requirements into efficient and effective technical solutions
Apply advanced AI/ML algorithms and techniques to solve complex challenges in life science or healthcare
Ensure reliability, scalability, and fault tolerance of AI systems in production environments
Stay updated on the latest AI/ML research and advancements in life science and healthcare technology to drive innovation within the company
Take full ownership and accountability for project deliverables in a fast-paced startup environment
Quickly learn and adapt to new tools and technologies as needed
Foster a culture of innovation, collaboration, and continuous improvement within the team

What we offer

18 days of paid annual leave
10 sick leaves
Additional days off for special occasions
Medical Care
Health check-up
Play Room
IT Cluster membership
Business Trip
Tech Talks
Training & Conferences

Middle AI/ML Engineer (Python, LLM, NLP/CV)

Location

Ukraine

Salary:

Not provided

Inoxoft

Expiration Date

Until further notice

Requirements

2+ years of commercial experience with Python
Hands-on experience with LLMs and prompt engineering
Understanding of RAG, embeddings, token/context management
Experience with FastAPI/Flask, async, SQLAlchemy
Experience with ML/DL (PyTorch / TensorFlow / sklearn)
Experience with NLP (Hugging Face, transformers)
Experience with databases (SQL/NoSQL + vector DBs)
Familiarity with Docker, CI/CD, cloud
Focus on code quality (testing, typing, linters)
Upper-Intermediate English lever o higher

Job Responsibility

Integrate and work with LLMs (OpenAI, Anthropic, Mistral)
Build RAG pipelines (chunking, embeddings, retrieval)
Use LangChain / LlamaIndex
Develop Python backend services (FastAPI/Flask)
Apply ML/DL models (Transformers, classical ML)
Work on NLP tasks (classification, NER, summarization)
Contribute to Computer Vision tasks when needed
Work with vector DBs and traditional databases
Deploy and maintain services (Docker, CI/CD, cloud)

What we offer

Flexible working hours
25 paid days off and 10 sick/medical leaves
Additional paid days off for personal events like marriage and childbirth
Maternity/Paternity leaves
Skills Evaluations and promotions are based on Corporate Matrix
Discount program
Self-development budget per year
Referral bonuses
Corporate events and gifts
Learning events and mentorship opportunities

Principal Software Consultant - AI/ML Engineer

As an ML Team Lead, you will be responsible for leading the technical direction ...

Location

Pakistan , Lahore, Karachi, Islamabad

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in computer science, Artificial Intelligence, Data Science, Software Engineering, or a related field
7+ years of professional software engineering experience with at least 5 years of hands-on experience building and deploying ML systems into production
Prior experience as a Tech Lead, Staff Engineer, or hands-on lead for AI/ML engineering teams
Strong expertise in classical machine learning domains such as forecasting, ranking, classification, and optimization
Hands-on experience building modern LLM and agentic AI systems including RAG pipelines, tool-using agents, multi-step workflows, and evaluation systems
Strong proficiency in Python and backend system development
Experience with ML frameworks such as PyTorch or TensorFlow
Strong understanding of scalable distributed systems, APIs, system integration, architecture design, and production engineering practices
Experience operating ML services at scale, including SLO management, monitoring, on-call practices, and incident response
Experience working with Kubernetes-based deployments, CI/CD pipelines, and modern cloud-native engineering practices

Job Responsibility

Lead the technical direction for the team’s ML and LLM systems, including architecture patterns, platform choices, evaluation frameworks, and engineering standards
Stay hands-on by designing and implementing complex ML and agentic AI systems, writing production-grade code, and leading through technical execution
Design, develop, and deploy scalable ML and LLM-powered applications and services in production environments
Build and optimize AI-powered solutions such as RAG systems, multi-step agents, AI assistants, chatbots, forecasting systems, ranking models, classification models, and optimization systems
Drive architecture and design reviews to ensure scalability, reliability, security, and maintainability of AI/ML systems
Own the technical roadmap for ML/LLM initiatives and translate business objectives into execution plans and scalable solutions
Collaborate closely with Product Managers, Engineers, Data Engineers, MLOps Engineers, QA Engineers, and cross-functional stakeholders to deliver business-aligned AI solutions
Establish engineering best practices for prompt engineering, model evaluation, regression testing, observability, and production readiness
Define and implement quality standards, evaluation suites, acceptance metrics, and regression plans for all AI/ML features
Ensure high availability, scalability, and resilience of tier-1 ML services through SLOs, monitoring, incident response, failover strategies, circuit breakers, and multi-zone deployments

Fulltime

Select Country

Manager, AI/ML Engineer

Job Description

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?