3+ PyTorch Jobs in Ahmedabad | PyTorch Job openings in Ahmedabad
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Ahmedabad
1 - 2 yrs
₹2L - ₹4L / yr
PythonNatural Language Processing (NLP)
Large Language Models (LLM)
Generative AI
Django +8 more
Role - Python Developer
Location - Ahmedabad
Experience - 1 - 2 Years
Employment Type - Full-Time
Role Overview:
We are looking for a Python-focused AI/ML Engineer to develop, train, and deploy machine learning models and AI-driven solutions. The ideal candidate should have strong Python skills and hands-on experience with ML frameworks.
Key Responsibilities:
- Build and optimize ML/DL models using Python.
- Develop data pipelines and perform data preprocessing.
- Deploy models using MLOps tools and cloud platforms.
- Collaborate with cross-functional teams to deliver AI solutions.
- Conduct model testing, tuning, and performance monitoring.
Required Skills:
- Strong proficiency in Python, NumPy, Pandas, Scikit-learn.
- Experience with TensorFlow or PyTorch.
- Understanding of ML algorithms and model evaluation.
- Familiarity with REST APIs and Git.
- Basic knowledge of cloud services (AWS/Azure/GCP).
Preferred Skills:
- Experience with NLP or Computer Vision.
- Knowledge of Docker, Kubernetes, and MLflow.
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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
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Pune, Ahmedabad
2 - 8 yrs
₹10L - ₹30L / yr
Data Science
Machine 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.
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.
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