5+ NumPy Jobs in Pune | NumPy Job openings in Pune

JioTesseract, a digital arm of Reliance Industries, is India's leading and largest AR/VR organization with the mission to democratize mixed reality for India and the world. We make products at the cross of hardware, software, content and services with focus on making India the leader in spatial computing. We specialize in creating solutions in AR, VR and AI, with some of our notable products such as JioGlass, JioDive, 360 Streaming, Metaverse, AR/VR headsets for consumers and enterprise space.

Mon-Fri, In office role with excellent perks and benefits!

Key Responsibilities:

1. Design, develop, and maintain backend services and APIs using Node.js or Python, or Java.

2. Build and implement scalable and robust microservices and integrate API gateways.

3. Develop and optimize NoSQL database structures and queries (e.g., MongoDB, DynamoDB).

4. Implement real-time data pipelines using Kafka.

5. Collaborate with front-end developers to ensure seamless integration of backend services.

6. Write clean, reusable, and efficient code following best practices, including design patterns.

7. Troubleshoot, debug, and enhance existing systems for improved performance.

Mandatory Skills:

1. Proficiency in at least one backend technology: Node.js or Python, or Java.

2. Strong experience in:

i. Microservices architecture,

ii. API gateways,

iii. NoSQL databases (e.g., MongoDB, DynamoDB),

iv. Kafka

v. Data structures (e.g., arrays, linked lists, trees).

3. Frameworks:

i. If Java : Spring framework for backend development.

ii. If Python: FastAPI/Django frameworks for AI applications.

iii. If Node: Express.js for Node.js development.

Good to Have Skills:

1. Experience with Kubernetes for container orchestration.

2. Familiarity with in-memory databases like Redis or Memcached.

3. Frontend skills: Basic knowledge of HTML, CSS, JavaScript, or frameworks like React.js.

position: Data Scientist

Job Category: Embedded HW_SW

Job Type: Full Time

Job Location: Pune

Experience: 3 - 5 years

Notice period: 0-30 days

Must have skills: Python, Linux-Ubuntu based OS, cloud-based platforms

Education Required: Bachelor’s / Masters / PhD:

Bachelor’s or master’s in computer science, Statistics, Mathematics, Data Science, Engineering

Bachelors with 5 years or Masters with 3 years

Mandatory Skills

• Bachelor’s or master’s in computer science, Statistics, Mathematics, Data Science, Engineering, or related field
• 3-5 years of experience as a data scientist, with a strong foundation in machine learning fundamentals (e.g., supervised and unsupervised learning, neural networks)
• Experience with Python programming language (including libraries such as NumPy, pandas, scikit-learn) is essential
• Deep hands-on experience building computer vision and anomaly detection systems involving algorithm development in fields such as image-segmentation
• Some experience with open-source OCR models
• Proficiency in working with large datasets and experience with feature engineering techniques is a plus

Key Responsibilities

• Work closely with the AI team to help build complex algorithms that provide unique insights into our data using images.
• Use agile software development processes to make iterative improvements to our back-end systems.
• Stay up to date with the latest developments in machine learning and data science, exploring new techniques and tools to apply within Customer’s business context.

Optional Skills

• Experience working with cloud-based platforms (e.g., Azure, AWS, GCP)
• Knowledge of computer vision techniques and experience with libraries like OpenCV
• Excellent Communication skills, especially for explaining technical concepts to nontechnical business leaders.
• Ability to work on a dynamic, research-oriented team that has concurrent projects.
• Working knowledge of Git/version control.
• Expertise in PyTorch, Tensor Flow, Keras.
• Excellent coding skills, especially in Python.
• Experience with Linux-Ubuntu based OS

Who are we looking for?  

We are looking for a Senior Data Scientist, who will design and develop data-driven solutions using state-of-the-art methods. You should be someone with strong and proven experience in working on data-driven solutions. If you feel you’re enthusiastic about transforming business requirements into insightful data-driven solutions, you are welcome to join our fast-growing team to unlock your best potential.  

Job Summary 

• Supporting company mission by understanding complex business problems through data-driven solutions. 
• Designing and developing machine learning pipelines in Python and deploying them in AWS/GCP, ... 
• Developing end-to-end ML production-ready solutions and visualizations. 
• Analyse large sets of time-series industrial data from various sources, such as production systems, sensors, and databases to draw actionable insights and present them via custom dashboards. 
• Communicating complex technical concepts and findings to non-technical stakeholders of the projects 
• Implementing the prototypes using suitable statistical tools and artificial intelligence algorithms. 
• Preparing high-quality research papers and participating in conferences to present and report experimental results and research findings. 
• Carrying out research collaborating with internal and external teams and facilitating review of ML systems for innovative ideas to prototype new models. 

Qualification and experience 

• B.Tech/Masters/Ph.D. in computer science, electrical engineering, mathematics, data science, and related fields. 
• 5+ years of professional experience in the field of machine learning, and data science. 
• Experience with large-scale Time-series data-based production code development is a plus. 

Skills and competencies 

• Familiarity with Docker, and ML Libraries like PyTorch, sklearn, pandas, SQL, and Git is a must. 
• Ability to work on multiple projects. Must have strong design and implementation skills. 
• Ability to conduct research based on complex business problems. 
• Strong presentation skills and the ability to collaborate in a multi-disciplinary team. 
• Must have programming experience in Python. 
• Excellent English communication skills, both written and verbal. 

Benefits and Perks

• Culture of innovation, creativity, learning, and even failure, we believe in bringing out the best in you. 
• Progressive leave policy for effective work-life balance. 
• Get mentored by highly qualified internal resource groups and opportunity to avail industry-driven mentorship program, as we believe in empowering people.  
• Multicultural peer groups and supportive workplace policies.  
• Work from beaches, hills, mountains, and many more with the yearly workcation program; we believe in mixing elements of vacation and work. 

 Hiring Process 

• Call with Talent Acquisition Team: After application screening, a first-level screening with the talent acquisition team to understand the candidate's goals and alignment with the job requirements. 
• First Round: Technical round 1 to gauge your domain knowledge and functional expertise. 
• Second Round: In-depth technical round and discussion about the departmental goals, your role, and expectations.
• Final HR Round: Culture fit round and compensation discussions.
• Offer: Congratulations you made it!  

If this position sparked your interest, apply now to initiate the screening process.

Key skills : Python, Numpy, Panda, SQL, ETL 

Roles and Responsibilities:

- The work will involve the development of workflows triggered by events from other systems

- Design, develop, test, and deliver software solutions in the FX Derivatives group

- Analyse requirements for the solutions they deliver, to ensure that they provide the right solution

- Develop easy to use documentation for the frameworks and tools developed for adaption by other teams

Familiarity with event-driven programming in Python

- Must have unit testing and debugging skills

- Good problem solving and analytical skills

- Python packages such as NumPy, Scikit learn

- Testing and debugging applications.

- Developing back-end components.

• Partners with business stakeholders to translate business objectives into clearly defined analytical projects.
• Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques for the specific business problem and then build the models that solve the problem.
• Own the end-end process, from recognizing the problem to implementing the solution.
• Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.
• Build predictive models that are accurate and robust and that help our customers to utilize the core platform to the maximum extent.

• 12 to 15 yrs of experience.
• An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.
• Experience with text mining, parsing, and classification using state-of-the-art techniques.
• Experience with information retrieval, Natural Language Processing, Natural Language
• Understanding and Neural Language Modeling.
• Ability to evaluate the quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.
• Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, sci-kit-learn, NLTK, Gensim, etc.
• Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.
• Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.