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AI/ML Engineer - Data Modeling Job Opening In Pune – Now Hiring Confidential


Job description

<p><p><b>Role : </b> AI/ML Engineer<br/><br/>- Location : Pune/ Hyderabad<br/><br/>- Experience : 5 - 8 Years <br/><br/>- Work model : WFO only<br/><br/>- Notice period : Only 15 days or less<br/><br/><b>About company : </b> </p><p><br/></p><p>We are a new-age, AI-first Digital & Cloud Engineering Services company.

Our mission is to combine deep engineering expertise with automation-first thinking and AI-native execution to help clients achieve more with speed, precision, and measurable impact.<br/><br/>We work at the intersection of automation, AI, and agile engineering to deliver scalable, high-performance solutions that enable businesses to move faster and operate smarter.

<br/><br/><b>Role Overview : </b></p><p><br/></p><p>We are seeking an experienced and driven Senior AI/ML Engineer with 5-8 years of experience in AI/ML - Predictive ML, GenAI and Agentic AI.

The ideal candidate should have a strong background in developing and deploying machine learning models, as well as a passion for innovation and problem-solving.<br/><br/>- As an AI/ML Solution Engineer, design, develop, and deploy machine learning models and algorithms.<br/><br/>- Conduct research and stay up-to-date with the latest advancements in AI/ML, GenAI, and Agentic AI.<br/><br/>- Lead a team of junior AI engineers, providing direction and support.<br/><br/><b>Requirements : </b></p><p><br/></p><p>- Bachelors or Masters degree in computer science / AIML / Data Science.<br/><br/>- 5 to 8 years of overall experience and hands-on experience with the design and implementation of Machine Learning models, Deep Learning models, and LLM models for solving business problems.<br/><br/>- Proven experience working with Generative AI technologies, including prompt engineering, fine-tuning large language models (LLMs), embeddings, vector databases (e.g., FAISS, Pinecone), and Retrieval-Augmented Generation (RAG) systems.<br/><br/>- Expertise in Python (NumPy, Scikit-learn, Pandas), TensorFlow, PyTorch,?transformers (e.g., Hugging Face), or MLlib.<br/><br/>- Experience in working on Agentic AI frameworks like Autogen, Langgraph, CrewAI, Agentforce etc<br/><br/>- Expertise in cloud-based data and AI solution design and implementation using GCP / AWS / Azure, including the use of their Gen AI services.<br/><br/>- Good experience in building complex and scalable ML and Gen AI solutions and deploying them into production environments.<br/><br/>- Experience with scripting in SQL, extracting large datasets, and designing ETL flows.<br/><br/>- Excellent problem-solving and analytical skills with the ability to translate business requirements into data science and Gen AI solutions.<br/><br/>- Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your AI ML Potential: Insight & Career Growth Guide


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The average salary range for a varies, but the pay scale is rated "Standard" in Pune. 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.

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Key qualifications for AI/ML Engineer Data Modeling typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for AI/ML Engineer Data Modeling Job Success

Confidential interview tips for AI/ML Engineer   Data Modeling

Here are some tips to help you prepare for and ace your AI/ML Engineer Data Modeling job interview:

Before the Interview:

Research: Learn about the Confidential's mission, values, products, and the specific job requirements and get further information about

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Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Final Thought:

To prepare for your AI/ML Engineer Data Modeling interview at Confidential, research the company, understand the job requirements, and practice common interview questions.

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