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Generative AI Engineer - Python Job Opening In Pune – Now Hiring EncureIT


Job description

<p><p><b>Position</b> : Senior AI/ML Engineer<br/><br/><b>Location</b> : Pune, Maharashtra<br/><br/><b>Experience</b> : 3 to 6 years<br/><br/><b>Employment</b> : Full-time<br/><br/><b>Role Overview</b> : <br/><br/>We are seeking a Senior AI/ML Engineer to lead the design, development, and deployment of advanced AI solutions across Generative AI, Deep Learning, and traditional ML.

This role requires not only strong technical expertise but also leadership in mentoring junior engineers, coordinating with cross-functional teams, and directly engaging with clients to understand problems and deliver impactful solutions.<br/><br/>You will take ownership of end-to-end AI/ML initiatives from business problem definition and data strategy to production deployment and ongoing optimization while ensuring scalability, robustness, and innovation in AI-driven products.<br/><br/><b>Key Responsibilities</b> : <br/><br/><b>Leadership & Client Communication:</b><br/><br/></p><p>- Act as the technical lead for AI/ML projects, ensuring timely and high-quality delivery.<br/><br/></p><p>- Communicate directly with clients to gather requirements, present solutions, and provide technical insights.<br/><br/></p><p>- Lead technical discussions, demos, and presentations with clients and stakeholders.<br/><br/></p><p>- Coordinate and mentor junior AI/ML engineers, providing guidance on project tasks and technical challenges.<br/><br/><b>End-to-End AI/ML Lifecycle:</b><br/><br/></p><p>- Drive problem scoping, data collection, model development, deployment, monitoring, and continuous iteration.<br/><br/></p><p>- Translate complex business requirements into scalable ML/AI solutions.<br/><br/><b>Model Development (Generative + Traditional):</b><br/><br/></p><p>- Build, fine-tune, and optimize transformer-based LLMs (GPT, BERT, LLaMA), GANs, diffusion models, and multimodal AI systems.<br/><br/></p><p>- Develop and improve ML/DL models for computer vision (CNNs, R-CNN, YOLO, etc.), NLP, and recommendation systems.<br/><br/><b>Data Engineering & Pipelines:</b><br/><br/></p><p>- Architect robust data pipelines (ETL/ELT), data labeling, preprocessing, and augmentation frameworks.<br/><br/></p><p>- Ensure versioning, reproducibility, and data governance practices.<br/><br/><b>MLOps & Deployment:</b><br/><br/></p><p>- Lead model containerization (Docker), microservice/API deployment, and CI/CD pipeline setup for ML.<br/><br/></p><p>- Implement monitoring, drift detection, scaling, and performance tracking for deployed models.<br/><br/><b>Troubleshooting & Optimization:</b><br/><br/></p><p>- Solve advanced AI challenges : hallucinations, overfitting, bias, imbalance, latency, and model interpretability.<br/><br/></p><p>- Optimize models for accuracy, efficiency, and cost.<br/><br/><b>Innovation & Research:</b><br/><br/></p><p>- Stay at the forefront of GenAI, RAG frameworks, LangChain, and emerging ML research.<br/><br/></p><p>- Prototype and evaluate new architectures, libraries, and deployment approaches.<br/><br/><b>Collaboration & Documentation:</b><br/><br/></p><p>- Partner with product managers, DevOps, backend engineers, and clients to deliver integrated AI solutions.<br/><br/></p><p>- Document experiments, frameworks, and deployment architectures for team adoption and client transparency.<br/><br/><b>Required Skills</b> : </p><p><br/>- Bachelors/Masters in Computer Science, AI, Data Science, or related field.<br/><br/></p><p>- 4 to 6 years of proven experience in ML/AI roles, with at least 2 years in leading/mentoring roles.<br/><br/></p><p>- Proficient in Python, ML/DL frameworks (PyTorch, TensorFlow, Hugging Face, scikit-learn).<br/><br/></p><p>- Expertise in LLM fine-tuning, generative models, and traditional ML.<br/><br/></p><p>- Strong grasp of AI/ML project lifecycle, MLOps, and cloud deployment (AWS/GCP/Azure).<br/><br/></p><p>- Skilled in data workflows, feature engineering, dataset versioning, and reproducibility.<br/><br/></p><p>- Hands-on experience with Docker, REST APIs, Git, and CI/CD pipelines.<br/><br/></p><p>- Excellent problem-solving, analytical, and debugging abilities.<br/><br/></p><p>- Strong communication skills with ability to manage client expectations.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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Unlock Your Generative AI Potential: Insight & Career Growth Guide


Real-time Generative AI Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Generative AI in Pune, India, highlighting market share and opportunities for professionals in Generative AI roles.

114877 Jobs in India
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1704 Jobs in Pune
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Are You Looking for Generative AI Engineer Python Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at EncureIT adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

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5. Accountabipty

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7. Obeying India laws and regulations

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EncureIT interview tips for Generative AI Engineer   Python

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