Hiring AL ML Engineer For Pune Baner Location- WFO

Job Title: AI/ML Engineer

Experience Required: 4 to 8 Years

Location: Pune (Work from Office)

About the Role

We are seeking a skilled and passionate AI/ML Engineer with at least 4 years of experience to join our growing team. The ideal candidate will have strong expertise in designing, developing, and deploying machine learning and deep learning models, including Retrieval-Augmented Generation (RAG) systems, along with the ability to translate business problems into data-driven solutions.

Key Responsibilities

• Design, build, and deploy scalable machine learning and AI models for real-world applications.
• Work closely with data scientists, engineers, and business stakeholders to identify and define AI/ML use cases.
• Develop and optimize algorithms for classification, regression, clustering, NLP, computer vision, or recommendation systems.
• Conduct model training, validation, and performance tuning.
• Evaluate which available ML models, off-the-shelf solution, is most appropriate based on the business context.
• Design and implement those models and their pipelines, combining large language models (LLMs) where necessary. Improve accuracy, relevance, and explainability of generated responses.
• Implement MLOps practices to ensure reliable deployment and monitoring of models in production.
• Collaborate with data engineers to prepare, clean, and transform large datasets.
• Stay updated with the latest trends and research in AI/ML and recommend adoption of new approaches where relevant.

Required Skills & Qualifications

• Bachelors/masters degree in computer science, Data Science, Artificial Intelligence, or related field.
• 4+ years of hands-on experience in AI/ML development.
• Hands-on experience with RAG architecture and LLMs (e.g., OpenAI, LLaMA, Cohere, Claude, etc.).
• Proficiency in Python and libraries like LangChain, Haystack, Transformers, scikit-learn, PyTorch, TensorFlow, etc.
• Strong knowledge of vector similarity search and experience with tools like FAISS, Pinecone, Chroma, or Weaviate.
• Experience with data manipulation and analysis (Pandas, NumPy, SQL).
• Knowledge of NLP, deep learning, or computer vision techniques.
• Familiarity with cloud platforms (AWS, Azure, GCP) and deployment of ML models.
• Understanding of MLOps tools (MLflow, Kubeflow, Docker, Kubernetes, CI/CD).
• Strong problem-solving skills with the ability to work independently and in teams.

Good to Have

• Experience with big data technologies (Spark, Hadoop).
• Contribution to open-source ML/AI projects or research publications.