2+ PyTorch Jobs in Ahmedabad | PyTorch Job openings in Ahmedabad
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Bengaluru (Bangalore), Pune, Hyderabad, Chennai, Indore, Gurugram, Delhi, Ahmedabad, Jaipur
5 - 8 yrs
₹5L - ₹25L / yr
Python
R Programming
Java
Amazon Web Services (AWS)Google Cloud Platform (GCP)
+8 more
Company Description
Appiness Interactive Pvt. Ltd. is a Bangalore-based product development and UX firm that
specializes in digital services for startups to fortune-500s. We work closely with our clients to
create a comprehensive soul for their brand in the online world, engaged through multiple
platforms of digital media. Our team is young, passionate, and aggressive, not afraid to think
out of the box or tread the un-trodden path in order to deliver the best results for our clients.
We pride ourselves on Practical Creativity where the idea is only as good as the returns it
fetches for our clients.
Key Responsibilities:
- Design and implement advanced AI/ML models and algorithms to address real-world challenges.
- Analyze large and complex datasets to derive actionable insights and train predictive models.
- Build and deploy scalable, production-ready AI solutions on cloud platforms such as AWS, Azure, or GCP.
- Collaborate closely with cross-functional teams, including data engineers, product managers, and software developers, to integrate AI solutions into business workflows.
- Continuously monitor and optimize model performance, ensuring scalability, robustness, and reliability.
- Stay abreast of the latest advancements in AI, ML, and Generative AI technologies, and proactively apply them where applicable.
- Implement MLOps best practices using tools such as MLflow, Docker, and CI/CD pipelines.
- Work with Large Language Models (LLMs) like GPT and LLaMA, and develop Retrieval-Augmented Generation (RAG) pipelines when needed.
Required Skills:
- Strong programming skills in Python (preferred); experience with R or Java is also valuable.
- Proficiency with machine learning libraries and frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Hands-on experience with cloud platforms like AWS, Azure, or GCP.
- Solid foundation in data structures, algorithms, statistics, and machine learning principles.
- Familiarity with MLOps tools and practices, including MLflow, Docker, and Kubernetes.
- Proven experience in deploying and maintaining AI/ML models in production environments.
- Exposure to Large Language Models (LLMs), Generative AI, and vector databases is a strong plus.
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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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