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    Home/Jobs/Senior AI/ML Engineer

    Senior AI/ML Engineer

    Alter Domus

    Hyderabad
    5+ years
    Today
    ₹23–44 LPA
    Full-time
    Hybrid

    Skills Required

    LangChain
    LLM
    Prompt Engineering
    Python
    NumPy
    Pandas
    PyTorch
    TensorFlow
    AutoGen
    CrewAI
    Pinecone
    Qdrant
    REST API
    microservice architecture
    AWS

    Description

    Join Alter Domus as a Senior AI/ML Engineer, playing a pivotal role in designing, building, and maintaining their AI platform and ML pipelines.

    Company: Alter Domus

    Role: Senior AI/ML Engineer

    Location: Hyderabad, India; Luxembourg, Luxembourg; United States; London, United Kingdom; Vilnius, Lithuania - Hybrid

    Experience:

    • 5+ years of total experience
    • 3+ years of experience in Python and related data science libraries (NumPy, Pandas, PyTorch, TensorFlow)

    Role Focus:

    • Build & Prototype: Assemble off-the-shelf LLMs into Alter Domus’ products and agentify workflows
    • Automate & Integrate: Connect assistants to real systems via MCP, APIs, webhooks, and microservices
    • Code with AI Helpers: Leverage GitHub Copilot, Cursor, Windsurf, Cline, and Q Developer to accelerate development
    • Write unit/integration tests and help maintain CI/CD pipelines
    • Help define test plans, troubleshoot issues, and tune prompts for accuracy and performance
    • Gather feedback from business stakeholders and iterate quickly on prototypes

    More skills:

    Lang graph, Vector databases (Pinecone, Qdrant), AWS cloud platform, Containerization (Docker), Orchestration tools (Kubernetes), NLP concepts, LLM implementation, Fine-tuning language models, Azure OpenAI, AWS Bedrock, Anthropic Claude, Meta LLaMA APIs, Firebase Studio, v0, Lovable, MCP/A2A, GitHub Copilot, Cursor, Windsurf, Cline, Q Developer

    Other:

    • Industry-leading Alter Domus Academy with six learning zones and resources from LinkedIn Learning
    • Support for professional accreditations such as ACCA and study leave
    • Flexible arrangements, generous holidays, plus an additional day off for your birthday!
    • Continuous mentoring along your career progression
    • Active sports, events, and social committees across offices
    • 24/7 support available from Employee Assistance Program
    • Opportunity to invest in growth and success through Employee Share Plan
    • Additional local benefits depending on location

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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