1 Opening(s)
12.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
"Deep understanding of cloud platforms (AWS, Azure, GCP) and hybrid cloud setups Hands-on experience with architecture modeling tools and frameworks (TOGAF, Zachman, UML) Proficiency with enterprise integration patterns, RESTful APIs, API gateways, and service mesh Knowledge of data architecture, security architecture, and DevSecOps principles Familiarity with India Stack components and ...
2 Opening(s)
2.0 Year(s) To 3.0 Year(s)
0.00 LPA TO 0.00 LPA
Key Responsibilities
Model Development & Training
○ Design, train, and fine-tune deep learning and machine learning models (transformers, CNNs, RNNs, gradient boosting, etc.).
○ Implement data preprocessing pipelines, feature extraction, and
augmentation techniques.
○ Conduct hyperparameter optimization and experiment management. ● Evaluation & Optimization
○ Run model evaluations, benchmark against baselines, and perform ablation studies.
○ ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
18.00 LPA TO 24.00 LPA
About the Role :
We are looking for a hands-on Full Stack Data Scientist who can independently manage the
entire machine learning lifecycle—from data wrangling to deployment—without relying on a
dedicated data engineering team. This role is ideal for someone who thrives in a fast-paced, self-
directed environment and is passionate about building real-world ML solutions that drive
business outcomes.
Key Responsibilities :
∙Own the full ML pipeline: data ingestion, cleaning, feature engineering, model
development, deployment, and monitoring.
∙Build and fine-tune models using Python and frameworks like Scikit-learn, XGBoost,
TensorFlow, or PyTorch.
∙Deploy models using Databricks, MLflow, and cloud-native tools (preferably Azure).
∙Develop robust, scalable pipelines using PySpark or native Databricks workflows.
∙Collaborate with BI analysts and business stakeholders to translate requirements into
production-ready solutions.
∙Maintain and improve existing models and pipelines with minimal supervision.
Required Skills :
∙3+ years of experience in applied data science or ML engineering.
∙Strong Python programming skills, including experience with data manipulation and ML libraries.
∙Experience with Databricks and cloud-based ML deployment (Azure preferred).
∙Ability to work independently across the full stack of ML development and deployment.
∙Familiarity with version control (Git), CI/CD, and MLOps best practices.
∙Excellent communication skills and ability to work with remote teams across time zones.
Nice to Have
∙Experience with data pipeline development using PySpark or Delta Lake.
∙Exposure to Docker, REST APIs, or real-time inference.
∙Prior experience working in a manufacturing or industrial analytics environment.
Interview Process:
Shortlisted candidates will be required to complete:
∙An online technical skills assessment focused on Python and applied machine learning.
∙An in-person practical test at our Ahmedabad Tech Center to evaluate real-world
problem-solving and deployment capabilities.
Hours: 2:30 PM – 11:30 PM IST (working from Office)
Reports to: Manager, Data Analytics California, USA
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
10.00 LPA TO 18.00 LPA
Key Skills & Expertise:• Ruby on Rails Development: Proven experience in designing, developing, and maintaining scalable applications. • Object-Oriented Design & Analysis: Exceptional understanding and application of OOPS principles. • API & Microservices: Strong experience building and consuming REST APIs; hands-on with microservice Design Patterns: Expert-level understanding and implementation of ...
1 Opening(s)
5.0 Year(s) To 6.0 Year(s)
6.00 LPA TO 7.00 LPA
Position: RA Executive (Khopoli)
Location: Khopoli - Raigarh
Experience: 5 - 6 Years
Industries: Pharma
Responsibilities:
Dossier Preparation & Submission
Prepare, compile, and review CTD / ACTD / eCTD dossiers for product registration in global markets.
Coordinate for ANDA, DMF, CEP, COS, and other regulatory submissions for APIs and ...
1 Opening(s)
1.0 Year(s) To 3.0 Year(s)
Not Disclosed by Recruiter
What You'll Do
Build and scale. Next.js frontends for our web and mobile web applications, ensuring fast, responsive, and accessible user experiences.
Develop interactive features such as video, chat, and real-time collaboration tools that power our learning platform.
Integrate APIs and backend services (Laravel, AWS) seamlessly with the frontend for reliability and performance.
Optimize ...
1 Opening(s)
8.0 Year(s) To 10.0 Year(s)
22.00 LPA TO 27.00 LPA
We are seeking an experienced Pre-Sales Consultant to be the technical cornerstone of our sales efforts. Working closely with the Sales Manager and channel partners, you will be responsible for understanding complex client requirements, demonstrating the technical capabilities of our productized solutions, and ensuring their fit and feasibility. This role ...
1 Opening(s)
3.0 Year(s) To 7.0 Year(s)
15.00 LPA TO 30.00 LPA
Key Responsibilities: - 1. Model Development: Design, build, and optimize supervised, unsupervised, and deep learning models for various business problems. 2. Data Exploration & Feature Engineering: Clean, transform, and analyze structured and unstructured data; identify significant features. 3. AI Integration: Develop end-to-end AI pipelines and integrate models into production systems ...
1 Opening(s)
8.0 Year(s) To 10.0 Year(s)
18.00 LPA TO 24.00 LPA
Experience Required: 8 years
Location: Gandhinagar | Ahmedabad | Pune (Preferred Gandhinagar)Mode of Work: WFO is preferred (open for Hybrid - 3 days must)
Note: Strong backend development experience and for frontend ReactJS is preferred. Candidate should have hands on experience in ReactJS.Cloud experience is good to have and preferred Azure
Job Description ...
2 Opening(s)
10.0 Year(s) To 12.0 Year(s)
25.00 LPA TO 30.00 LPA
Tools & Platforms
Visio, Lucid, Sparx System, ArchiMate, Abacus, Planview, MS Office Suite (Word, PowerPoint, Excel), JIRA, MS Project.
Job Responsibilities
Define and implement IT project governance frameworks in line with NBFC regulatory and compliance standards.
Collaborate with the CTO to evaluate the effectiveness, risks, and performance of digital transformation initiatives.
Drive cross-functional IT projects, ...