Senior Python AI Lead
Maharashtra, Pune, India
Neova Solutions
Role: Senior Python AI Lead
Total Experience: 8+ years in Python development
Employment Type: Permanent & Full time
Notice Period: Immediate to 15 days
Working Model: Hybrid (3 days work from office)
Job Summary:
We are seeking a Sr. Python -AI Lead to drive the development of AI-powered solutions using Python and cutting-edge machine learning frameworks. As a Python AI Lead, you will lead a team of engineers, design scalable AI systems and collaborate with stakeholders to deliver impactful AI solutions aligned with business objectives.
Key Responsibilities:
- Lead and manage the development of AI/ML models and algorithms using Python and associated frameworks.
- Design and implement robust, scalable and efficient AI pipelines for production environments.
- Guide the team in leveraging Python libraries (e.g., NumPy, Pandas, TensorFlow, PyTorch etc.) to solve complex business problems.
- Collaborate with stakeholders to define AI use cases and translate business requirements into technical solutions.
- Conduct code reviews, optimize AI/ML pipelines and ensure best practices in model development and deployment.
- Stay updated with advancements in AI technologies and Python frameworks, introducing innovations to enhance the team's productivity and the organization's capabilities.
- Ensure data preprocessing, feature engineering, and data integrity for training and deploying machine learning models.
- Mentor junior developers, providing technical guidance and support.
- Deploy, monitor and maintain AI models using MLOps principles on cloud platforms like AWS, Azure, or GCP.
- Promote ethical AI practices, focusing on fairness, explainability and bias mitigation in deployed models.
Required Skills and Qualifications:
- Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence or related field.
- Programming Expertise: Advanced proficiency in Python with hands-on experience in AI/ML libraries like TensorFlow, PyTorch, Scikit-learn, NumPy, pandas, etc.
- AI/ML Experience: Strong experience in developing and deploying machine learning, deep learning, NLP, and computer vision models.
- Proficiency in designing and implementing RESTful APIs for AI solutions using Flask, FastAPI, or Django.
- Hands-on experience with cloud platforms like AWS, GCP or Azure for AI/ML workloads.
- Proficiency in handling databases (SQL and NoSQL) and working with large datasets.
- Strong understanding of algorithms, data structures and optimization techniques.
- Experience with version control systems (e.g., Git) and CI/CD pipelines for AI/ML.
- Familiarity with big data frameworks like Apache Spark, Hadoop or Kafka is a plus.
- Knowledge of Docker and Kubernetes for containerization and orchestration of AI solutions.
Company Overview:
Attitude, culture, and Technology is How We Hire!
Neova Solutions is a product specialist based at Santa Clara, California and Pune, India as the Development center: working on IoT, AI and Machine Learning, Mobile Apps, Cloud Services and Network Security projects with top Silicon Valley companies and Fortune 500 to well-funded US-based Start-Ups too. We at Neova Solutions are uniquely qualified to build, accelerate and innovate product ideas. We hire, empower, and retain a diverse workforce within a supportive work environment to deliver high-quality technology solutions that enable our clients to meet their business goals effectively. Neova's philosophy takes its roots from its management team that has decades of work experience in the US for startups, mid-sized and large enterprises. Neova provides an environment conducive to product development with people who love building products. For 15 years, we have been working together to deliver a high-quality experience to our clients and help them with our technology solutions. https://www.neovasolutions.com/
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Azure Big Data CI/CD Computer Science Computer Vision Deep Learning Django Docker Engineering FastAPI Feature engineering Flask GCP Git Hadoop Kafka Kubernetes Machine Learning ML models MLOps NLP NoSQL NumPy Pandas Pipelines Python PyTorch Scikit-learn Security Spark SQL TensorFlow
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