11+ Neural networks Jobs in Pune | Neural networks Job openings in Pune

About Us

We are a fast-growing startup based in Pune, India, specializing in cutting-edge Data Science and Data Engineering solutions. Our team of dedicated professionals is committed to solving complex data challenges for companies worldwide.

Our Culture We foster a vibrant startup culture that values: • Intellectual curiosity • Continuous learning • Positive work environment • Collaborative problem-solving

Role Overview

We are seeking a versatile and proactive Data Scientist to join our dynamic team. The ideal candidate will possess a blend of technical expertise in modern AI/ML technologies, strategic planning, and effective communication skills. This role demands critical thinking, applying data science and problem-solving skills to a wide variety of real-world problems, adaptability to rapidly evolving technologies, and a strong foundation in both traditional and generative AI principles.

Key Responsibilities • Deliver end-to-end data science projects by applying Machine Learning and Deep Learning fundamentals to solve complex problems • Derive actionable insights for a variety of problems, industries, and domains using statistical analysis and advanced data science techniques • Develop high-quality software solutions with Python and other programming languages. Collaborate with developers to understand and improve existing code or create new solutions • Build and deploy production-ready LLM applications using modern frameworks and best practices • Design and implement RAG (Retrieval-Augmented Generation) architectures using vector databases and embedding models • Perform prompt engineering and optimization to maximize LLM performance for specific use cases • Implement agentic AI systems and multi-agent workflows for complex automation tasks • Evaluate and benchmark LLM outputs using appropriate metrics and testing frameworks • Build sophisticated data pipelines for large-scale data processing using modern orchestration tools • Optimize database performance and create efficient SQL queries • Deploy and monitor ML models in production using MLOps practices and containerization • Practice active listening to understand project requirements and team inputs • Collaborate with clients to translate business requirements into data science solutions • Communicate complex ideas and results clearly to stakeholders through both verbal and written formats • Apply responsible AI principles and ensure ethical considerations in model development • Demonstrate punctuality and a strong sense of ownership in all tasks • Plan strategically and multitask efficiently to meet project deadlines • Employ critical thinking to break down problems and debug effectively • Take initiative and be biased towards action to drive project progress Required Skills Core Programming & ML • Strong Python programming skills with hands-on project experience • Expertise in Machine Learning and Deep Learning algorithms (Random Forests, GBMs, Neural Networks, CNNs, RNNs, Transformers, Ensemble methods) • Proficiency in TensorFlow or PyTorch, along with scikit-learn and pandas • Familiarity with modern ML techniques: Transfer Learning, Few-shot Learning, Self-supervised Learning • Experience with NLP, Computer Vision, or Time Series Analysis Generative AI & LLMs • Hands-on experience with LLM providers (OpenAI, Anthropic Claude, Google Gemini, or open-source models) • Proficiency with GenAI orchestration frameworks (LangChain, LangGraph, LlamaIndex, or DSPy) • Experience building RAG applications with vector databases (Pinecone, Weaviate, Chroma, FAISS) • Strong prompt engineering skills and understanding of prompt optimization techniques • Knowledge of fine-tuning techniques (LoRA, QLoRA) and when to apply them • Understanding of LLM evaluation metrics and benchmarking methodologies • Familiarity with agentic AI architectures and multi-agent systems MLOps & Deployment • Experience with MLOps practices and tools (MLflow, Kubeflow, Weights & Biases) • Proficiency with containerization using Docker and orchestration with Kubernetes • Experience with cloud platforms (AWS, Azure, or GCP) for ML model deployment and monitoring • Understanding of CI/CD pipelines for ML applications • Knowledge of model serving frameworks and API development (FastAPI, Flask, or Django) Data Engineering & Databases • Solid understanding of SQL, including advanced concepts like windowing functions and query optimization • Experience with data pipeline orchestration tools (Airflow, Prefect, or similar) • Familiarity with both SQL and NoSQL databases Soft Skills & Professional Attributes • Strong critical thinking and problem-solving skills • Excellent written and verbal communication abilities • Demonstrated ability to work well in a team and independently • High degree of flexibility and adaptability to rapidly evolving technologies • Understanding of AI safety principles and responsible AI practices

Nice-to-Have • Experience with big data technologies (Spark, Hadoop, Databricks) • Familiarity with BI tools and dashboard creation (Tableau, Power BI, Looker) • Knowledge of graph databases and knowledge graph construction • Experience with real-time streaming data processing • Active participation in data science competitions (Kaggle, DrivenData) • Contributions to open-source AI/ML projects or technical blog • Experience with multimodal AI models (vision-language models, audio processing) • Published research papers or conference presentations

Qualifications • Data Scientist I: 0-2 years of hands-on experience in Data Science projects • Data Scientist II: 2-5 years of hands-on experience in Data Science projects • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related technical field • Demonstrated commitment to continuous learning through courses, certifications, or self-study (especially in GenAI and modern ML techniques)

What We Offer • Competitive salary commensurate with experience • Opportunity to work on diverse, cutting-edge AI/ML projects • Collaborative and innovation-driven work environment • Rapid growth and continuous learning opportunities • Exposure to latest AI technologies and industry best practices

Link for application -  https://forms.gle/9GENVfPeXdtgi7Zj7

We are looking for a skilled Full Stack Developer with strong proficiency in TypeScript and JSonata to design, develop, and maintain scalable web applications. The ideal candidate should be comfortable working across both frontend and backend layers, with a focus on clean architecture, performance, and maintainability. Exposure to EDI or logistics domain will be an added advantage.

Key Responsibilities

• Develop and maintain end-to-end web applications using TypeScript
• Build and manage backend services using JSonata
• Design and implement RESTful APIs and integrate third-party services
• Work on frontend frameworks (as applicable) to deliver responsive UI/UX
• Collaborate with cross-functional teams including product, QA, and DevOps
• Ensure code quality through best practices, testing, and code reviews
• Optimize applications for performance, scalability, and security
• Participate in system design and architectural decisions

Required Skills

• Strong proficiency in TypeScript and modern JavaScript (ES6+)
• Hands-on experience with JSonata
• Solid understanding of full stack development principles
• Experience with REST APIs, microservices architecture
• Familiarity with databases (SQL/NoSQL)
• Version control using Git
• Good understanding of debugging and performance optimization

Good to Have

• Exposure to EDI (Electronic Data Interchange) systems
• Experience in Logistics / Supply Chain domain
• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Experience with containerization (Docker, Kubernetes)
• Knowledge of CI/CD pipelines

Job Responsibilities:

Provide basic IT support for daily office operations

Perform data entry and maintain system records accurately

Assist in managing computers, printers, and other IT equipment

Support users with basic software, email, and system-related issues

Maintain IT-related documents, files, and reports

Ensure proper data backup and basic system maintenance

Coordinate with senior IT staff or external vendors when required

Required Skills:

Basic IT knowledge (computer hardware & software fundamentals)

Data entry skills with good accuracy

Working knowledge of MS Office (Word, Excel, Outlook)

Basic understanding of Windows OS, internet, and email usage

Good attention to detail and organizational skills

Willingness to learn and grow

Job Responsibilities:

• Make outbound calls to potential leads provided by the company.
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• Follow up regularly with interested leads to convert them into clients.
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• Handle phone calls and messages professionally and ensure every message is checked and responded to the same day.
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• Maintain accurate records of all calls, lead responses, and follow-up status in the system.
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• Connect clients to the relevant department as per their requirements.
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• Achieve daily and weekly targets for calls, follow-ups, and conversions.
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• Maintain a positive, polite, and professional tone in all interactions.

Wednesday is a digital agency. We work with startups and enterprises to build digital products for their users.

At our core, we are a group of makers - designers, developers, product & project managers. We care about our work and think of it as a craft. We're always learning so we can build better and faster.

As a Technical Lead, your time will be divided between programming and technical oversight.

Core Responsibilities

• Code Reviews: Review all pull requests to ensure features are built correctly following the conventions and guidelines of the project.
• Communication: Work with your team to ensure they understand all the requirements clearly.
• Architecture: Have a clear picture of the system architecture in mind. Lead your teams to implement that design.
• Learn: Learn from the practices followed by other teams and evangelize your learnings.

Skills Required

• Technical expertise with our tech stack - JS, Nodejs, React, and AWS.
• Understanding of Agile processes and methodologies.
• Understanding of the continuous software delivery process using CD.
• The ability to debug corner cases, hypothesize and fix bugs.

Required Skills Description

Experience Level:- 4 –7 Years of Experience

Mandatory Skills –

1. Good Coding Skills
2. Hands-on Experience Angular or React or Vue or Typescript
3. Sound knowledge on RESTFUL APIs
4. Should have executed projects where .Net and Microsoft technologies have been used and should have a good understanding of the same.

Secondary Skills

• Knowledge .Net Core, WEB API framework
• Knowledge of HTML and CSS
• SQL Server and PL/SQL
• Understanding of Design Patterns

Interpersonal Skills

1. Good in communications (Verbal and Written)
2. Should have worked individually or in team