Published on
Published on
Nov 17, 2025
Recruitment Drive for Atidan Technologies Pvt. Ltd. | Hiring for AL-ML Developer | Approx. Package: 3,00,000/- to Rs. 4,50,000/- Per Annum
Recruitment Drive for Atidan Technologies Pvt. Ltd. | Hiring for AL-ML Developer | Approx. Package: 3,00,000/- to Rs. 4,50,000/- Per Annum
Full time
/
Pune/mumbai
/
₹3 LPA to ₹4.5 LPA
Greetings from the upGrad Learning Support Centre, Pune!
NOTE: Refer your friends who fit the eligibility criteria. Open for all eligible and interested candidates.
Company Name: Atidan Technologies Pvt. Ltd.
Position: AL-ML Developer
Experience: Fresher
Job Location: Pune/Mumbai
Approx. Package: 3,00,000/- to Rs. 4,50,000/- Per Annum
Educational Criteria:
BE / BTech (CS/ IT Branch Only)
Pass out Year 2024 & 2025 Batch Only
75% throughout in 10th/12th/Diploma/Graduation/Post Graduation
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 advanced 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:
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 is a
Good problem-solving skills and attention to detail.
Effective communication and collaboration abilities
Deadline to Apply: Monday, 17th October 2025 @ 06.00 PM (Profiles submitted after the deadline will not be considered)
Regards,
upGrad Learning Support Centre, Pune
Call/ WhatsApp: +91 70 30 105 105
Address: 503, Kotibhaskar Business Court, opposite KARISHMA COMPLEX, Kothrud Industrial Area, Kothrud, Pune, Maharashtra 411038



Greetings from the upGrad Learning Support Centre, Pune!
NOTE: Refer your friends who fit the eligibility criteria. Open for all eligible and interested candidates.
Company Name: Atidan Technologies Pvt. Ltd.
Position: AL-ML Developer
Experience: Fresher
Job Location: Pune/Mumbai
Approx. Package: 3,00,000/- to Rs. 4,50,000/- Per Annum
Educational Criteria:
BE / BTech (CS/ IT Branch Only)
Pass out Year 2024 & 2025 Batch Only
75% throughout in 10th/12th/Diploma/Graduation/Post Graduation
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 advanced 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:
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 is a
Good problem-solving skills and attention to detail.
Effective communication and collaboration abilities
Deadline to Apply: Monday, 17th October 2025 @ 06.00 PM (Profiles submitted after the deadline will not be considered)
Regards,
upGrad Learning Support Centre, Pune
Call/ WhatsApp: +91 70 30 105 105
Address: 503, Kotibhaskar Business Court, opposite KARISHMA COMPLEX, Kothrud Industrial Area, Kothrud, Pune, Maharashtra 411038


