Data Scientist at Victrix Systems Labs · Pune · 3 - 5 years · ₹5L - ₹15L / yr · Bootstrapped · Posted 21 Jul 2023

Relevant Experience:
• 3-5 years
Required Skills
• In-depth experience with Python and OO concepts
• Experience with using NumPy, Pandas, or similar AI/ML libraries
• Deep understanding of multi-process architecture and threading limitations of Python
• Expert knowledge of Python and related frameworks including Django and Flask.
• Experience in Machine Learning and Artificial Intelligence
• Good understanding of relational data modeling concepts and comfortable with SQL
• databases.
• Good understanding of AWS / Azure cloud
• Nice to have
• Experience / Exposure in Chat BOT or Voice BOT
• Experience in Lambda Function OR Azure Functions
• Exposure to Financial Domain
Additional Skillsets Desired:
• Ability to work with clients and key stakeholders to ensure requirements are met
• Strong problem-solving and debugging skills
• Passion to work in a start-up environment and readiness to dabble with challenging
• Ability to work in both a solo and team environment
• Proven ability to communicate technical information coherently, both verbally and into internal team and external customers, maintaining a customer focused

About Victrix Systems Labs
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Job Summary
We are seeking a skilled Python Developer with experience in building scalable applications using Python frameworks such as Flask and Django. The ideal candidate should have hands-on experience with PySpark for big data processing and strong SQL skills for data analysis and database management.
Key Responsibilities
- Design, develop, test, and maintain Python-based applications.
- Develop RESTful APIs using Flask and/or Django.
- Build scalable data processing pipelines using PySpark.
- Write efficient SQL queries, stored procedures, and optimize database performance.
- Integrate applications with databases and third-party services.
- Collaborate with cross-functional teams to gather and implement business requirements.
- Troubleshoot, debug, and enhance application performance.
- Follow coding standards, perform code reviews, and maintain technical documentation.
Required Skills
- Strong proficiency in Python.
- Hands-on experience with Flask and/or Django.
- Experience with PySpark for large-scale data processing.
- Strong knowledge of SQL (writing complex queries, joins, indexing, optimization).
- Understanding of REST APIs and microservices architecture.
- Experience with Git/version control.
- Knowledge of relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
- Good problem-solving and analytical skills.
Preferred Skills
- Experience with cloud platforms (AWS, Azure, or GCP).
- Familiarity with Docker and Kubernetes.
- Knowledge of CI/CD pipelines.
- Experience with Airflow or other workflow orchestration tools.
- Understanding of Agile/Scrum methodologies.
About Us
Corporate Web Solutions provides technology and digital transformation solutions with an emphasis on emerging technologies including artificial intelligence and machine learning.
Role Overview
As an AI & Machine Learning Intern, you'll gain practical experience working with datasets, machine learning models, AI concepts, and Python-based tools.
Key Responsibilities
- Prepare and analyze datasets.
- Assist in developing machine learning models.
- Experiment with AI and ML algorithms.
- Evaluate model performance.
- Work with Python and relevant libraries.
- Participate in practical AI/ML projects.
Requirements
- Basic Python programming knowledge.
- Understanding of machine learning fundamentals.
- Basic knowledge of data handling.
- Familiarity with NumPy and Pandas is a plus.
- Eagerness to learn AI technologies.
Perks
- Certificate of Internship
- Flexible work hours
- Mentorship and real project exposure
- Potential for PPO
- Letter of Recommendation
- Performance-Based Stipend available up to ₹18,000/month
Hiring for Junior AI Engineer
Exp : 4 - 6 yrs
Edu : BE/B.Tech/MCA
Work Location : Pune WFO
Skills :
- Min 3 years strong programming experience in Python is a MUST
- Min 2 years hands-on experience in AI with LLMs, RAG pipelines, and AI frameworks
- Experience with cloud platforms (AWS/Azure/GCP)
Key Responsibilities
- Design, develop, and maintain scalable applications using Python.
- Build and integrate AI-powered solutions into existing applications.
- Develop REST APIs and backend services.
- Work with AI/ML models, LLMs, and Generative AI technologies where applicable.
- Integrate AI services and APIs into business applications.
- Write clean, maintainable, and efficient code.
- Collaborate with cross-functional teams to deliver high-quality solutions.
- Troubleshoot issues and optimize application performance.
Must-Have Skills
- Strong hands-on experience in Python development.
- Good understanding of Python frameworks such as FastAPI, Flask, or Django.
- Experience in REST API development and backend services.
- Knowledge or experience in AI/ML concepts.
- Understanding of application development, debugging, and problem-solving.
- Good understanding of databases and data handling.
Good-to-Have Skills
- Hands-on experience with Generative AI and Large Language Models (LLMs).
- Experience with AI APIs and frameworks such as LangChain or LlamaIndex.
- Knowledge of Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Experience with Docker, Kubernetes, or CI/CD pipelines.

About the company
We are an AI-powered media intelligence platform that transforms video and audio archives into searchable, reusable and monetizable assets.
The platform combines media processing, search, multimodal AI and large-scale content understanding to help users discover meaningful moments within vast media libraries. We are an early-stage startup where engineers work across disciplines and contribute directly to
products used by customers.
Role Overview
We are looking for an Assistant Software Engineer who wants to grow rapidly across backend engineering, AI integration, media processing and platform operations.
You will work closely with the AI, platform and product engineers to build the supporting systems that make our AI capabilities usable, testable and reliable. You will help bridge the gap between models, services, data and product workflows while learning from experienced engineers across multiple disciplines.
What You Will Work On
AI Operations & Evaluation (Approx. 50%)
- Integrate AI services into backend workflows.
- Validate AI outputs against expected results.
- Build scripts and tools for evaluation and testing.
- Maintain datasets used to assess model quality.
- Support retrieval and search workflows.
- Investigate incorrect or unexpected AI outputs.
Media & Data Processing (Approx. 35%)
- Develop and maintain media-processing jobs.
- Support subtitle, transcript and metadata pipelines.
- Process and validate structured AI outputs.
- Assist with data preparation and annotation workflows.
- Build automation around ingestion and content processing.
Platform & Engineering Operations (Approx. 15%)
- Support deployment and monitoring workflows.
- Maintain development environments and internal tools.
- Assist with CI/CD automation.
- Help improve observability and operational dashboards.
- Support troubleshooting and production investigations.
What Success Looks Like
Within your first six months:
- AI evaluation workflows are easier to run and maintain.
- Model outputs can be tested and verified consistently.
- Media-processing jobs are reliable and observable.
- Engineering teams spend less time on repetitive operational tasks.
- Documentation and internal tooling improve team productivity.
Requirements
Must Have
- Good knowledge of Python.
- Experience building meaningful personal, academic or professional software projects.
- Understanding of REST APIs and JSON.
- Working knowledge of SQL and relational databases.
- Familiarity with Git and Linux.
- Ability to debug issues systematically.
- Strong curiosity and willingness to learn unfamiliar technologies.
- Good written and verbal communication skills.
Nice to Have
- FastAPI or Flask.
- PostgreSQL.
- Docker.
- Background workers or asynchronous processing.
- Computer vision, LLMs or AI APIs.
- Vector search, embeddings or RAG.
- FFmpeg or media-processing tools.
- AWS, Azure or GCP.
- JavaScript or TypeScript.
- CI/CD tooling.
We Value
- Curiosity over credentials.
- Ownership over job titles.
- Learning over knowing everything.
- Engineers who ask good questions.
- Engineers who can explain how things work.
- People who are comfortable working across multiple disciplines.
Why Join Us
- Work directly with experienced AI, platform and product engineers.
- Gain exposure to media AI, search and retrieval systems.
- Build real production systems from an early stage.
- Grow into backend, AI, platform or full-stack engineering paths.
- Help shape a product from its earliest stages.
About the Job :
We are looking for a passionate and driven AI Intern to join our dynamic team. As an intern, you will have the opportunity to work on real-world projects, develop AI models, and collaborate with experienced professionals in the field. This internship is designed to provide hands-on experience in AI and machine learning, offering you the chance to contribute to impactful projects while enhancing your skills.
Job Description:
We are seeking a talented Artificial Intelligence Specialist to join our dynamic team. As an AI Specialist, you will be responsible for developing, implementing, and optimizing AI models and algorithms. You will collaborate closely with cross-functional teams to integrate AI capabilities into our products and services. The ideal candidate should have a strong background in machine learning, deep learning, and natural language processing, with a passion for applying AI to real-world problems.
Responsibilities:
- Design, develop, and deploy AI models and algorithms.
- Conduct data analysis and pre-processing to prepare data for modeling.
- Implement and optimize machine learning algorithms.
- Collaborate with software engineers to integrate AI models into production systems.
- Evaluate and improve the performance of existing AI models.
- Stay updated with the latest advancements in AI research and apply them to enhance our products.
- Provide technical guidance and mentorship to junior team members.
Requirements:
- Any Graduate / Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; Master's degree preferred.
- Proven experience in developing and implementing machine learning models and algorithms.
- Strong programming skills in languages such as Python, R, or Java.
Benefits :
- Internship Certificate
- Letter of Recommendation
- Performance-Based Stipend
- Part-time work from home (2-3 hours per day)
- 5 days a week, fully flexible shift
Experience: 0–1 Year / Freshers
Location: Remote
Employment Type: Full-Time
About the Role
We are looking for a Junior Software Engineer – AI/ML with hands-on academic, internship, or personal project experience in Core AI/ML.
Key Areas We’re Looking For
- Core AI/ML
- Trading / Finance
- CCTV / Video Analytics
- Face Recognition
- OMR / OCR
Required Skills
- Python and basic Machine Learning concepts
- Experience with AI/ML projects
- Knowledge of OpenCV, Scikit-learn, PyTorch, or TensorFlow
- Basic understanding of model training, evaluation, and data preprocessing
- Git/GitHub
Candidate Profile
- Freshers or candidates with 0–1 year experience
- Practical AI/ML projects preferred
- Should be able to clearly explain their project, model/algorithm, dataset, and individual contribution
Dear Candidate,
Thanks for showing interest towards the opportunity!!!
As discussed, we have an immediate opening for Python + Agentic AI Developer with Mphasis for Bangalore location.
Experience: 4 Years
Mandatory Skills: Python, Agentic AI, Generative AI (GenAI), LLMs, AI Agents.
Kindly share your updated resume and availability for the opportunity.
Role Overview
We are looking for an AI/ML Engineer with 2 - 6 years of industry experience to develop and deploy machine learning solutions for industrial and smart manufacturing use cases. The role involves working with real-world industrial data, developing predictive and analytical models, and translating business and operational requirements into scalable AI/ML solutions.
The ideal candidate should have strong fundamentals in machine learning, Python, data processing, model development, and deployment, along with an interest in applying AI to manufacturing, industrial automation, and operational optimization.
Key Responsibilities
- Design, develop, train, and evaluate machine learning models for industrial and manufacturing use cases.
- Analyze large and complex datasets to identify patterns, trends, anomalies, and opportunities for optimization.
- Perform data preprocessing, feature engineering, model selection, and performance evaluation.
- Develop solutions for use cases such as predictive maintenance, anomaly detection, quality prediction, process optimization, forecasting, and equipment monitoring.
- Work with structured and time-series data generated from industrial equipment, machines, sensors, and operational systems.
- Develop and optimize ML pipelines for data preparation, model training, validation, and deployment.
- Collaborate with domain experts, data engineers, software engineers, and business stakeholders to understand requirements and translate them into technical solutions.
- Deploy machine learning models into production environments and monitor model performance.
- Troubleshoot model and data-related issues and continuously improve model accuracy, reliability, and scalability.
- Develop reusable code, APIs, and components to integrate ML models with enterprise and industrial applications.
- Document models, methodologies, experiments, results, and technical implementations.
- Stay updated with emerging AI/ML techniques, industrial AI trends, and smart manufacturing technologies.
Required Technical Skills
- Strong programming experience in Python.
- Good understanding of Machine Learning algorithms and concepts.
- Experience with libraries/frameworks such as Scikit-learn, Pandas, NumPy, and preferably TensorFlow or PyTorch.
- Strong understanding of data preprocessing, feature engineering, model training, validation, and evaluation.
- Experience working with time-series data is preferred.
- Good understanding of statistical concepts and data analysis.
- Experience with SQL and relational databases.
- Understanding of model deployment and productionization of ML solutions.
- Familiarity with Git and software development best practices.
- Good problem-solving and analytical skills.
Preferred Skills
- Experience in Industrial AI, Smart Manufacturing, Industry 4.0, or Industrial IoT (IIoT).
- Experience with predictive maintenance, anomaly detection, forecasting, or quality inspection.
- Exposure to sensor data, machine/equipment data, telemetry, or real-time industrial data.
- Knowledge of computer vision for manufacturing or quality inspection use cases.
- Exposure to cloud platforms such as AWS, Azure, or GCP.
- Familiarity with Docker, Kubernetes, or CI/CD for ML deployment.
- Knowledge of MLOps concepts and tools.
- Exposure to Generative AI/LLMs is an added advantage.
ML DEVELOPER
Hyperworks Imaging is a cutting-edge technology company based out of Bengaluru, India since 2016. Our team uses the latest advances in deep learning and multi-modal machine learning techniques to solve diverse real world problems. We are rapidly growing, working with multiple companies around the world.
JOB OVERVIEW
We are seeking a talented and results-oriented ML Developer to join our growing team in India. In this role, you will be responsible for developing and implementing new advanced ML algorithms and AI agents for creating AI assistants of the future.
The ideal candidate will work on a complete ML pipeline starting from extraction, transformation and analysis of data to developing novel ML algorithms. The candidate will implement latest research papers and closely work with various stakeholders to ensure data-driven decisions and integrate the solutions into a robust ML pipeline.
RESPONSIBILITIES:
- Create AI agents using Model Context Protocols (MCPs), Claude Code, DsPy etc.
- Develop custom evals for AI agents.
- Build and maintain ML pipelines
- Optimize and evaluate ML models to ensure accuracy and performance.
- Define system requirements and integrate ML algorithms into cloud based workflows.
- Write clean, well-documented, and maintainable code following best practices
REQUIREMENTS:
- 2-3+ years of experience in data science, machine learning, or a similar role.
- Demonstrated expertise with python, PyTorch, and TensorFlow.
- Graduated/Graduating with B.Tech/M.Tech/PhD degrees in Electrical Engg./Electronics Engg./Computer Science/Maths and Computing/Physics
- Has done coursework in Linear Algebra, Probability, Image Processing, Deep Learning and Machine Learning.
- Has demonstrated experience with Model Context Protocols (MCPs), DSPy, AI Agents, MLOps etc
WHO CAN APPLY:
Only those candidates will be considered who,
- have relevant skills and interests
- can commit full time
- Can show prior work and deployed projects
- can start immediately
Please note that we will reach out to ONLY those applicants who satisfy the criteria listed above.
SALARY DETAILS: Commensurate with experience.
JOINING DATE: Immediate
JOB TYPE: Full-time










