Cutshort logo
PyTorch Jobs in Ahmedabad

3+ PyTorch Jobs in Ahmedabad | PyTorch Job openings in Ahmedabad

Apply to 3+ PyTorch Jobs in Ahmedabad on CutShort.io. Explore the latest PyTorch Job opportunities across top companies like Google, Amazon & Adobe.

icon
Ascendum Solutions
Ahmedabad
4 - 8 yrs
₹15L - ₹15L / yr
Artificial Intelligence (AI)
Generative AI
TensorFlow
PyTorch
Scikit-Learn
+7 more

Exp: 4 to 8 Years

CTC: up to 40 LPA


Mandatory Criteria

  • 5–7 years of hands-on experience in building and deploying AI solutions, ideally in fintech or financial services.
  • Strong coding skills in Python and familiarity with libraries like TensorFlow, PyTorch, scikit-learn, XGBoost, etc.
  • Experience with NLP, time series forecasting, anomaly detection, or graph ML relevant to fintech applications.
  • Solid understanding of MLOps concepts – model versioning, deployment, monitoring.
  • Experience working with cloud platforms (AWS/GCP/Azure) and ML services (e.g., SageMaker, Vertex AI).
  • Familiarity with Docker, Kubernetes, or other containerization tools for model deployment is a plus.
  • Comfortable working with large-scale structured and unstructured datasets. Experience with LLMs or generative AI for fintech-specific use cases.
  • Exposure to RegTech, risk modeling, or algorithmic trading.
  • Publications, GitHub contributions, or Kaggle competitions.
  • Familiarity with SQL/NoSQL databases and data pipelines (e.g., Airflow, Spark, etc.).


If interested kindly share your updated resume on 82008 31681

Read more
Tecblic Private LImited
Ahmedabad
4 - 6 yrs
₹6L - ₹18L / yr
skill iconPython
Generative AI
Large Language Models (LLM)
PyTorch
TensorFlow
+5 more

Job Description: Machine Learning Engineer – LLM, Agentic AI, Computer Vision, and MLOps

Location: Ahmedabad

Experience: 4 to 6 years

Employment Type: Full-Time


About Us

Join a forward-thinking team at Tecblic, where innovation meets cutting-edge technology. We specialize in delivering AI-driven solutions that empower businesses to thrive in the digital age. If you're passionate about LLMs, Computer Vision, MLOps, and pushing the boundaries of Agentic AI, we’d love to have you on board.

Key Responsibilities

  • Research and Development: Design, develop, and fine-tune machine learning models across LLM, computer vision, and Agentic AI use cases.
  • Model Optimization: Fine-tune and optimize pre-trained models, ensuring performance, scalability, and minimal latency.
  • Computer Vision: Build and deploy vision models for object detection, classification, OCR, and segmentation.
  • Integration: Work closely with software and product teams to integrate models into production-ready applications.
  • Data Engineering: Develop robust data pipelines for structured, unstructured (text/image/video), and streaming data.
  • Production Deployment: Deploy, monitor, and manage ML models in production using DevOps and MLOps practices.
  • Experimentation: Prototype and test new AI approaches such as reinforcement learning, few-shot learning, and generative AI.
  • DevOps Collaboration: Collaborate with the DevOps team to ensure CI/CD pipelines, infrastructure-as-code, and scalable deployments are in place.
  • Technical Mentorship: Support and mentor junior ML and data engineers.


Requirements

Core Technical Skills

  • Strong Python skills for machine learning and computer vision.
  • Hands-on experience with PyTorch, TensorFlow, Hugging Face, Scikit-learn, OpenCV.
  • Deep understanding of LLMs (e.g., GPT, BERT, T5) and Computer Vision architectures (e.g., CNNs, Vision Transformers, YOLO, R-CNN).
  • Strong knowledge of NLP tasks, image/video processing, and real-time inference.
  • Experience in cloud platforms: AWS, GCP, or Azure.
  • Familiarity with Docker, Kubernetes, and serverless deployments.
  • Proficiency in SQL, Pandas, NumPy, and data wrangling techniques.

DevOps & MLOps Skills

  • Experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, etc.
  • Knowledge of Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Pulumi.
  • Familiarity with container orchestration and Kubernetes-based ML model deployment.
  • Hands-on experience with ML pipelines and monitoring tools: MLflow, Kubeflow, TFX, or Seldon.
  • Understanding of model versioning, model registry, and automated testing/validation in ML workflows.
  • Exposure to observability and logging frameworks (e.g., Prometheus, Grafana, ELK stack).

Additional Skills (Good to Have)

  • Knowledge of Agentic AI systems and use cases.
  • Experience with generative models (e.g., GANs, VAEs) and RL-based architectures.
  • Prompt engineering and fine-tuning for LLMs in specialized domains.
  • Working with vector databases (e.g., Pinecone, FAISS, Weaviate).
  • Distributed data processing using Apache Spark, Dask.

General Skills

  • Strong foundation in mathematics, including linear algebra, probability, and statistics.
  • Deep understanding of data structures and algorithms.
  • Comfortable handling large-scale datasets, including images, video, and multi-modal data.

Soft Skills

  • Strong analytical and problem-solving mindset.
  • Excellent communication skills for cross-functional collaboration.
  • Self-motivated, adaptive, and committed to continuous learning.


Read more
InFoCusp

at InFoCusp

3 recruiters
Deleted User
Posted by Deleted User
Pune, Ahmedabad
2 - 8 yrs
₹10L - ₹30L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
TensorFlow
+4 more
Machine Learning Engineer

Location: Ahmedabad / Pune
Team: Technology

Company Profile
InFoCusp is a company working in the broad field of Computer Science, Software Engineering, and Artificial Intelligence (AI). It is headquartered in Ahmedabad, India, having a branch office in Pune.
We have worked on / are working on AI projects / algorithms-heavy projects with applications ranging in finance, healthcare, e-commerce, legal, HR/recruiting, pharmaceutical, leisure sports and computer gaming domains. All of this is based on the core concepts of data science,
computer vision, machine learning (with emphasis on deep learning), cloud computing, biomedical signal processing, text and natural language processing, distributed systems, embedded systems and the Internet of Things.

PRIMARY RESPONSIBILITIES:

● Applying machine learning, deep learning, and signal processing on large datasets (Audio, sensors, images, videos, text) to develop models.
● Architecting large scale data analytics/modeling systems.
● Designing and programming machine learning methods and integrating them into our ML framework/pipeline.
● Analyzing data collected from various sources,
● Evaluate and validate the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science/computer science.
● Writing specifications for algorithms, reports on data analysis, and documentation of algorithms.
● Evaluating new machine learning methods and adapting them for our
purposes.
● Feature engineering to add new features that improve model
performance.

KNOWLEDGE AND SKILL REQUIREMENTS:
● Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with at least 3 years of professional work experience working on real-world data.
● Strong programming background, e.g. Python, C/C++, R, Java, and knowledge of software engineering concepts (OOP, design patterns).
● Knowledge of machine learning libraries Tensorflow, Jax, Keras, scikit-learn, pyTorch. Excellent mathematical skills and background, e.g. accuracy, significance tests, visualization, advanced probability concepts
● Ability to perform both independent and collaborative research.
● Excellent written and spoken communication skills.
● A proven ability to work in a cross-discipline environment in defined time frames. Knowledge and experience of deploying large-scale systems using distributed and cloud-based systems (Hadoop, Spark, Amazon EC2, Dataflow) is a big plus.
● Knowledge of systems engineering is a big plus.
● Some experience in project management and mentoring is also a big plus.

EDUCATION:
- B.E.\B. Tech\B.S. candidates' entries with significant prior experience in the aforementioned fields will be considered.
- M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image and signal processing, or statistics preferred.
Read more
Get to hear about interesting companies hiring right now
Company logo
Company logo
Company logo
Company logo
Company logo
Linkedin iconFollow Cutshort
Why apply via Cutshort?
Connect with actual hiring teams and get their fast response. No spam.
Find more jobs
Get to hear about interesting companies hiring right now
Company logo
Company logo
Company logo
Company logo
Company logo
Linkedin iconFollow Cutshort