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Current Openings

• Business Development Manager (Digital Products & Services)

  • Nashik
  • Full Time
  • 3 to 5 years

  Responsibilities and Duties

  We are hiring a Business Development Manager to drive growth in our digital products (Diagnosis Tools, Repair Management System, SaaS Auction Platform) and technology services (Web/Mobile Development, IoT, AI/ML, Digital Transformation).

  • Drive B2B SaaS & IT services sales: lead generation, partner onboarding, pilots, and deal closures.
  • Build strong networks with OEMs, repair/service providers, and resellers.
  • Explore new industry verticals (electronics, appliances, IoT, AI/ML).
  • Manage pipeline, prepare proposals, negotiate contracts, and achieve monthly sales targets.
  • Collaborate with delivery teams for scoping and execution.

  Requirements

  • 3-5 years of B2B technology/IT sales (preferably SaaS, ERP/CRM, or digital transformation).
  • Strong exposure to enterprise sales, partner development, and IT services.
  • Excellent communication, negotiation, and presentation skills.
  • Willingness to travel for client meetings.

  Perks

  • Base Salary + Sales Incentives + Bonus for strategic deals.
  • Career growth with a fast-growing digital solutions company.

• MERN Stack Developer

  • Nashik
  • Full Time
  • 2 to 7 years

  Responsibilities and Duties

  • Collaborate with the development team to design, build, and maintain scalable web applications using the MERN stack.
  • Develop, test, and debug server-side APIs using Node.js and Express.js.
  • Build responsive and user-friendly front-end interfaces with React.js.
  • Integrate front-end components with back-end APIs.
  • Work with MongoDB for database design, queries, and data management.
  • Participate in code reviews to ensure high-quality code and adherence to best practices.
  • Troubleshoot and resolve application issues and bugs.
  • Stay updated on the latest trends, tools, and technologies in web development.

  Requirements

  Must Have

  • Knowledge of the MERN stack (MongoDB, Express.js, React.js, Node.js).
  • Proficiency in JavaScript, HTML5, and CSS3.
  • Familiarity with RESTful APIs and JSON.
  • Understanding of version control systems like Git.
  • Ability to work effectively in a team and communicate technical ideas clearly.
  • A strong desire to learn and grow as a developer.

  Nice to Have

  • Knowledge of Redux or other state management libraries.
  • Experience with deployment tools (e.g., Docker, AWS, Heroku).
  • Understanding of unit testing and tools like Jest or Mocha.
  • Familiarity with Agile/Scrum methodologies.
  • Knowledge of additional front-end frameworks or libraries.

• Business Analyst

  • Nashik
  • Full Time
  • 3+ years

  Key Accountabilities

  • Requirement Elicitation and Gathering: Interact with customers, users and other key stakeholders to understand and re-frame requirement ensuring clarity, precision and comprehensibility.
  • Agile Methodologies: Be a coach and bring agile ways of working and translate requirements to Epic, Features and user stories which are modular and easy to implement.
  • Collaboration: This is a key aspect to work within a team but also inspire others to work as a team.
  • Designing: Understand customer needs, not just wants, collaborate with tech team to design the ideal business solution and help derive technical solution.
  • Quality Assurance: BA will own the User acceptance and quality of the deliverable, both functional and non-functional.

  Core Competencies

  • Proven experience as a Business Analyst.
  • In-depth knowledge of agile methodologies.
  • Excellent communication skills with an ability to bridge gaps between technical and non-technical stakeholders.
  • Strong Facilitation skills: Facilitate meetings, ability to convince and influence a positive outcome.
  • Business Process Mapping: Ability to map As-Is and to create To-Be process and flow in order to bring clarity.
  • Maintaining Healthy backlog to feed into each sprint.
  • Lower number of in-development feature changes.
  • Lower requirement defects.

  Must Have technical Skills

  • MS Office tools (Word, PPT, Excel)
  • Flow Chart tools (Drawio, visio)
  • JIRA/SharePoint etc
  • Experience in AI/ML/Data Domain a huge advantage

• Machine Learning Engineer (Computer Vision)

  • Nashik
  • Full Time
  • 3+ years

  Key Responsibilities

  • Model Development: Design, train, and fine-tune state-of-the-art computer vision models for object detection and classification using the YOLO framework (e.g., YOLOv8, YOLOv9), focused on object detection, classification, and orientation estimation (e.g., YOLO, DETR, Mask R-CNN).
  • Develop pipelines for model training, validation, and testing in PyTorch/TensorFlow.
  • Data Management: Work closely with the data science team to ensure high-quality, well-annotated datasets for training, validation, and testing.
  • Experimentation: Conduct rigorous experimentation to optimize model performance, including hyperparameter tuning, data augmentation, and model architecture selection.
  • Deployment: Deploy trained models into production environments, ensuring they are scalable, efficient, and reliable, either working directly or in collaboration with MLOps.
  • Optimize models for accuracy and performance (e.g., ONNX/TensorRT for inference).
  • Performance Monitoring: Implement monitoring and logging to track model performance in production and identify areas for improvement.
  • Research & Development: Stay up-to-date with the latest advancements in computer vision, deep learning, and MLOps to continuously improve our technology stack.

  Required Skills and Qualifications

  • Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
  • Experience: Proven experience (3+ years) as a Machine Learning Engineer, with a strong portfolio of computer vision projects.
  • Strong background in deep learning for computer vision: CNNs, YOLO, DETR, segmentation models.
  • Frameworks: Expert-level proficiency in at least one major deep learning framework, such as PyTorch or TensorFlow.
  • Computer Vision: Deep understanding of computer vision principles and hands-on experience with libraries like OpenCV.
  • YOLO: Extensive practical experience with the YOLO family of models, including training custom object detection models on new datasets.
  • Programming: Strong proficiency in Python.
  • MLOps: Familiarity with MLOps practices and tools (e.g., Docker, Kubernetes, cloud platforms like AWS, GCP, or Azure).
  • Problem-Solving: Excellent analytical and problem-solving skills with a creative approach to complex challenges.

  Preferred Qualifications

  • Experience with other object detection models (e.g., SSD, Faster R-CNN).
  • Knowledge of model quantization and optimization for edge deployment.
  • Familiarity with GIS data and satellite imagery analysis.
  • Familiarity with Vision Transformers (ViT, Swin, etc.).

  What We Offer

  • Opportunity to work on impactful AI projects
  • Collaboration with a strong ML/AI engineering team.
  • Flexible working setup.
  • Competitive compensation and growth opportunities.

• Data Scientist (Computer Vision & Geospatial AI)

  • Nashik
  • Full Time
  • 3+ years

  Key Responsibilities

  • Data Sourcing & Collection: Identify, source, and manage large-scale datasets, including satellite imagery and multi-angle product photos.
  • Data Annotation & Labelling: Oversee and perform the meticulous annotation and labelling of images with bounding boxes and class labels for object detection tasks. This includes ensuring consistency and accuracy across the dataset.
  • Data Cleaning & Preprocessing: Clean, transform, and preprocess raw data to make it suitable for machine learning models. This involves handling missing data, normalizing features, and correcting errors.
  • Data Augmentation: Design and implement data augmentation strategies to increase the size and diversity of the training dataset, improving model robustness and generalization.
  • Exploratory Data Analysis (EDA): Perform detailed EDA to understand the characteristics of the data, identify trends, identify potential biases, and provide insights that guide model development.
  • Develop statistical and ML models for size estimation, orientation, and movement patterns.
  • Quality Assurance: Develop and implement quality control protocols for the annotated data to ensure a high level of accuracy and reliability.
  • Collaboration: Work closely with Machine Learning Engineers and Domain experts to define data requirements, provide data-driven insights, and troubleshoot data-related issues during the model training and evaluation process.
  • Work with ML Engineers to select and evaluate models (YOLO, DETR, Mask R-CNN, etc.).
  • Define KPIs and create evaluation frameworks (precision/recall, IoU, orientation accuracy).
  • Analyse model errors, identify failure cases, and propose improvements.
  • Generate dashboards/reports to communicate insights to stakeholders.

  Required Skills & Experience

  • 3+ years of experience as a Data Scientist, ideally in computer vision or geospatial AI. computer vision or geospatial AI.
  • Strong skills in Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn).
  • Experience with image datasets and libraries like OpenCV, Pillow.
  • Familiarity with deep learning frameworks (PyTorch/TensorFlow) to run experiments.
  • Hands-on experience with Satellite & geospatial data (GDAL, Rasterio, Shapefiles) is a plus.
  • Strong grasp of statistical modelling, hypothesis testing, and evaluation design.
  • Experience with large-scale dataset preparation, annotation, and sourcing workflows.
  • Proficiency with SQL and data pipelines.
  • Excellent communication skills — able to translate technical results into business insights.

  Nice to Have (Preferred)

  • Familiarity with multi-object tracking and trajectory analysis.
  • Knowledge of segmentation and fine-grained classification problems.
  • Exposure to data visualization tools (Tableau, Power BI, Dash, Plotly).
  • Experience working with annotation teams and quality assurance processes.
  • Experience working with AIS data and open-source maritime datasets

  What We Offer

  • Opportunity to work on impactful AI projects
  • Collaboration with a strong ML/AI engineering team.
  • Flexible working setup.
  • Competitive compensation and growth opportunities.