
Vikash Technologies
https://vikashtechnologies.comJobs at Vikash Technologies
Hiring for AI Engineer
Exp: 5 - 12 yrs
Edu : BE/B.Tech/MCA
Work Location : Pune / Mumbai
Skill Set:
Total experience ranging from 5–10 years in software engineering/AI roles
Min 5 years strong programming experience in Python or Typescript is a MUST
Min 2.5 years hands-on experience in AI with LLMs, RAG pipelines, and AI frameworks
2+ years shipping LLM systems in production
Experience with cloud platforms (AWS/Azure/GCP)
Hiring for Dot Net Full Stack Lead / Architect
Exp : 12+ yrs
Edu : BE/B.Tech/MCA
Work Location : Bengaluru WFO
4 days WFO
Notice Period : Immediate - 15 days
Skills :
5+ years of professional development experience as a Full Stack Developer.
Strong proficiency in C# and .NET Core for backend development.
Experience with Angular (latest versions preferred) for frontend development.
Solid knowledge of SǪL Server and Entity Framework for database operations.
Experience in REST API design, development, and integration.
Knowledge of Azure DevOps (CI/CD, pipelines, Git repos).
Exposure to Azure cloud services such as App Services, Azure SǪL, Storage, Key Vault, etc.
Good understanding of object-oriented programming, SOLID principles, and design patterns.
· Strong problem-solving, debugging, and communication skills.
Hiring for Full Stack Developer
Exp : 7 - 12 yrs
Edu : BE/B.Tech
Work Location : Thane
Skills :
Java Full Stack Developer
Python is added advantage
APIs , Microservices
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)
Hiring for Data Engineer - Delivery Manager
Exp : 10 - 15 yrs
Edu : BE/B.Tech/MCA
Work Loation : Hyderabad
.Roles & Responsibilitie:
Own end-to-end delivery of data engineering programs ensuring alignment with business goals, timelines, and quality standards.
Drive execution across multiple data initiatives within Azure and Databricks environments.
Provide technical leadership in designing and implementing scalable data pipelines using Python, PySpark, and Spark.
Required Skills:
Strong experience with Databricks, PySpark, Python, and Spark.
Expertise in Azure Data Services including ADF, ADLS, and Synapse.
Proven experience in delivery management, stakeholder management, and Agile execution
Hiring Platform Engineer
Exp: 6 -- 10 yrs
Edu : BE/B.tech/MCA
Work Location : Pune
Skills :
Platform monitoring ,Incident trouble shooting, Incident recovery, openshift ,kubernetes.
2 years of IT operations, infrastructure, cloud or application support experience.
Exp in Linux command-line knowledge.
Exp in networking knowledge including IP addressing, DNS, ports and connectivity troubleshooting.
Hiring for Data Scientist / Senior Data Scientist
Exp : 4 - 12 yrs
Edu : BE/B.tech/MCA
Work Location : Pune
Notice Period : Immediate - 15 days
Skills :
4+ years of experience in data engineering, data science, or related domains.
Hands-on experience with SQL, Python, and distributed data systems.
Knowledge of machine learning techniques and statistical analysis.
Experience with cloud data platforms (Azure Data Factory, AWS Glue, GCP BigQuery).
Familiarity with DevOps practices and CI/CD for data pipelines.
Platforms & Operations Experience (Preferred)
- Experience working with Azure, AWS, or Google Cloud data tools.
Operational experience with data orchestration tools (Airflow, ADF, Glue).
Understanding of Kubernetes, Docker, or containerized environments.
Hands-on experience with data warehousing platforms (Snowflake, Redshift, BigQuery).
Experience in monitoring, logging, and alerting operations for data workflows.
15+ years of IT Delivery and Technology Services experience.
15+ years managing large offshore delivery organizations.
Proven leadership of portfolios exceeding 200+ resources.
Financial Services or Banking experience is a MUST
Extensive technical experience in Data Engineering, Data Platforms, Data Brics.
Cloud Data Transformation Programs, Data Warehousing, Azure Data Platform and compliance experience
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