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Machine Learning Engineer @ Capgemini Technology

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 Machine Learning Engineer

Job Description

    Capgemini is Hiring on Below Requirment.

    Job Title: Machine Learning Engineer

    Location:Bangalore

    Experience:6-9 years

    Qualifications and Skills:

    Technical Expertise:

    • Solid hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face building deep learning & machine learning models.
    • Proficient in fine-tuning LLMs (Large Language Models) using LoRA, QLoRA, and PEFT techniques to optimize resource efficiency.
    • Strong knowledge of Graph Databases (e.g., Neo4j, TigerGraph) and their integration with machine learning systems.
    • Experience working with Vector Databases (e.g., Pinecone, Weaviate, Milvus, FAISS or ChromaDB).
    • In-depth understanding of neural network architectures, including Transformers, GANs, and Diffusion Models.
    • Solid expertise in NLP, retrieval systems, and multimodal AI integration (text, images, audio).
    • Proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn).
    • Experience with deploying machine learning models on cloud platforms like AWS, GCP, or Azure.

    Soft Skills:

    • Strong analytical and problem-solving abilities to tackle complex AI challenges.
    • Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.
    • Ability to mentor junior developers and collaborate effectively within a cross-functional team.
    • Self-driven with the ability to work independently on projects and tasks, while aligning with team goals.

    Education and Experience:

    • Bachelor's or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related fields.
    • 2-5 years of experience in machine learning, generative AI, NLP, or graph-based AI solutions.

    Preferred Skills (Nice-to-Have):

    • Familiarity with multimodal AI techniques (combining text, images, and other data types).
    • Knowledge of MLOps practices, including tools for continuous deployment and monitoring of AI models.
    • Published research or open-source contributions in generative AI or graph-based AI.
    • Awareness of ethical AI principles and data privacy regulations.

     

Employement Category:

Employement Type: Full time
Industry: Investment Banking / Venture Capital / Private Equity
Role Category: Investment Banking / M&A
Functional Area: Not Specified
Role/Responsibilies: Machine Learning Engineer

Contact Details:

Company: Capgemini Technology
Location(s): Bengaluru

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Keyskills:   opencv computer vision ml nlp ai

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Capgemini Technology

Capgemini Technology Services India Limited Capgemini in India is over 85,000 people strong across nine cities (Mumbai, Bangalore, Gurgaon, Noida, Gandhinagar, Hyderabad, Pune, Kolkata and Chennai - Trichy and Salem). A pioneer in the IT industry, Capgemini has over 45 years of global expertise ...