8160 (07th July 2026) Recruitment Drive for Atidan Technologies Pvt. Ltd. |

8160 (07th July 2026) Recruitment Drive for Atidan Technologies Pvt. Ltd. | Hiring for “AI/ML Developer” as Fresher | Drive Organized by VibrantMinds Technologies Pvt. Ltd. |

Greetings from VibrantMinds Technologies Pvt. Ltd. – A Campus Recruitment, Online Assessment & IT Training Solutions Company.

NOTE:

This recruitment drive is OPEN for all eligible and interested candidates across India. VibrantMinds / NON-VibrantMinds students are allowed to apply if fulfil the mentioned criteria.
It’s a completely FREE OF COST Drive organized by VibrantMinds (No Charges to any candidate, anywhere).

Company Name: Atidan Technologies Pvt. Ltd.

About Company:

Atidan in Hebrew means future! Since 2005 Atidan has helped organizations across the world to leverage latest technologies and transform their businesses. Atidan has delivered hundreds of customer engagements successfully starting from new-age start-ups to fortune companies across the world.

We specialize in providing enterprise scale solutions around Artificial Intelligence, Analytics, Cloud and Collaboration. Our pillars of success are our People, Technology and Processes. We command high employee retention with our top-notch work force, premium clients, friendly culture and enabling technologies. Atidan is known to be responsive, sharp and honest.

Position : AI/ML Developer

Experience: Fresher

Approx. Package: Upto Rs. 3,00,000/- to Rs. 4,50,000/- Per Annum

Job Location: Pune/Mumbai

Educational Criteria:

Education: BE / BTech (AI/ ML/ DS/ Branch Only)
Batch: Pass out Year 2026 Batch Only
Percentage: 75% throughout in 10th/12th/Diploma/Graduation/Post Graduation

Job Description:

We are looking for a passionate and motivated Junior AI/ML Engineer to join our team. You’ll work on real-world applications of Deep Learning and Generative AI, contributing to cutting-edge projects in computer vision, natural language processing, or multimodal AI. The ideal candidate has a strong foundation in machine learning, hands-on experience with at least one completed project in deep learning or generative AI, and a hunger to learn and grow in this dynamic field.

Role & Responsibilities:

Collaborate with the ML team to build, train, and deploy deep learning models.
Design, train, and finetune AI/ML Models, especially Generative AI, Computer Vision to address specific use cases
Define architecture and tool selection for CV training system and chatbot.
End-to-end model integration for classification, segmentation, and detection YOLOv5–YOLO12, SAM variants, etc.).
Lead RAG + Neo4J + Vector DB pipeline development.
Implement FastAPI with dynamic model loading and optimization.
Conduct benchmarking and performance tuning across all models.
Validate inference latency, optimize for CPU and GPU-based systems.
Lead development for multimodal (Text, Image, Audio, Video) models.
Implement Ask-Anything pipeline with context retrieval.
Apply advance techniques, including embeddings, finetuning, and custom prompting strategies.
Deploy, manage, and optimize AI models on Google Cloud Platform (GCP) (or other cloud platforms like AWS/Azure Confidential
Collaborate with cross functional teams, including product managers, data scientist, and software engineers to deliver AI driven solutions
Hands on experience on Docker, Kubernetes.
Finalize documentation, manage error handling, and testing workflows.

Skills Required:

Python knowledge is mandatory.
Strong foundation in Machine Learning and Deep Learning
CNNs, RNNs, Transformers, GANs, ML Algorithms, Data Modeling, Data Handling.
Experience in Computer Vision
Classification, Object Detection (YOLOv11/12), Segmentation (SAM/SAM2, MobileSAM, FastSAM, Mask-RCNN), Image Processing, Model Finetuning.
NLP and LLM Experience
HuggingFace Transformers, Open-Source LLMs (LLaMA, Falcon, Mistral, DeepSeek, Phi-2)
Proficiency in Python, NumPy, pandas, OpenCV, Scikit-learn, PyTorch, TensorFlow
API Development & Integration
Experience in RAG (Retrieval-Augmented Generation)
Vector databases (FAISS, ChromaDB, Weaviate, Pinecone)
Knowledge Graphs (Neo4j)
Strong understanding of machine learning fundamentals and deep learning architectures (CNNs, RNNs, Transformers, etc.).
Hands-on experience with at least one complete project involving deep learning or generative AI (can be academic, open-source, or personal project).
Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Keras.
Experience working with libraries like Hugging Face Transformers, OpenAI API, or similar
Good problem-solving skills and attention to detail.
Effective communication and collaboration abilities.