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      Urgent! AI Engineer – AI Lab - Local Job Opening in Mumbai
About the Role: As an AI Engineer, you will play a key role in developing and experimenting with AI and GenAI solutions to solve business problems.
This role is deeply technical but also exploratory in nature.
You will be responsible for testing feasibility, building prototypes, running experiments, and co-creating solutions with both internal teams and external partners.
Your work will directly contribute to evaluating new use cases, scaling successful pilots, and embedding AI into our business workflows.
All solutioning, prototyping, testing, and development will be anchored by you  making this a highly engaging and interesting role at the heart of real-world AI delivery.
Key Responsibilities:   Build, test, and iterate on AI and GenAI solutions using industry-standard tools and platforms.
  Anchor technical components of AI use cases from experimentation to solution deployment.
  Collaborate with managers, internal tech teams, and external partners to co-develop POCs and scalable solutions.
  Conduct feasibility assessments and support decision-making through rapid experimentation.
  Translate abstract business problems into model-ready formats, including data preparation and feature engineering.
  Work on GenAI components such as prompt design, LLM integration, and retrieval-augmented generation (RAG).
  Maintain clean, well-documented code and version control practices.
  Integrate solutions with APIs and backend systems as needed, in partnership with engineering teams.
  Support model evaluation, optimization, and iterative improvement cycles.
  Contribute to the AI Lab's internal knowledge-sharing and tooling base.
Who are we looking for?
Education: Bachelor s or Master s in Computer Science, Engineering, or a related technical field.
Experience:   4 6 years of hands-on experience in AI/ML, GenAI, or applied data science roles.
  Experience building or experimenting with AI solutions in practical business settings.
  Exposure to collaborative delivery with tech teams or solution partners.
Skills:   Strong proficiency in Python and libraries like Pandas, NumPy, scikit-learn, PyTorch, TensorFlow.
  Experience with GenAI APIs (OpenAI, PaLM, Hugging Face) and vector databases (e.g., Pinecone, FAISS).
  Working knowledge of prompt engineering, LLMs, RAG, and LangChain-style pipelines.
  Comfortable with code versioning (Git), API-based integration, and cloud environments (GCP, AWS, Azure).
  Ability to think critically, test hypotheses, and learn rapidly through experimentation.
  Good collaboration skills and attention to clean, modular code.
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Unlock Your AI Engineer Potential: Insight & Career Growth Guide
Real-time AI Engineer Jobs Trends in Mumbai, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for AI Engineer in Mumbai, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 643071 jobs in India and 16449 jobs in Mumbai. This comprehensive analysis highlights market share and opportunities for professionals in AI Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! ScaleneWorks is currently hiring and seeking a AI Engineer – AI Lab to join their team. Feel free to download the job details.
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The fundamental ethical values are:The average salary range for a AI Engineer – AI Lab Jobs India varies, but the pay scale is rated "Standard" in Mumbai. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for AI Engineer – AI Lab typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your AI Engineer – AI Lab interview at ScaleneWorks, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the ScaleneWorks's products or services and be prepared to discuss how you can contribute to their success.
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