From building entire infrastructures or platforms to solving complex IT challenges, Cambridge Technology helps businesses accelerate their digital transformation and become AI-first businesses. With over 20 years of expertise as a technology services company, we enable our customers to stay ahead of the curve by helping them figure out the perfect approach, solutions, and ecosystem for their business. Our experts help customers leverage the right AI, big data, cloud solutions, and intelligent platforms that will help them become and stay relevant in a rapidly changing world.
No Of Positions: 1
Skills required:
- The ideal candidate will have a bachelor’s degree in data science, statistics, or a related discipline with 4-6 years of experience, or a master’s degree with 4-6 years of experience. A strong candidate will also possess many of the following characteristics:
- Strong problem-solving skills with an emphasis on achieving proof-of-concept
- Knowledge of statistical techniques and concepts (regression, statistical tests, etc.)
- Knowledge of machine learning and deep learning fundamentals
- Experience with Python implementations to build ML and deep learning algorithms (e.g., pandas, numpy, sci-kit-learn, Stats Models, Keras, PyTorch, etc.)
- Experience writing and debugging code in an IDE
- Experience using managed web services (e.g., AWS, GCP, etc.)
- Strong analytical and communication skills
- Curiosity, flexibility, creativity, and a strong tolerance for ambiguity
- Ability to learn new tools from documentation and internet resources.
Roles and responsibilities :
- You will work on a small, core team alongside other engineers and business leaders throughout Cambridge with the following responsibilities:
- Collaborate with client-facing teams to design and build operational AI solutions for client engagements.
- Identify relevant data sources for data wrangling and EDA
- Identify model architectures to use for client business needs.
- Build full-stack data science solutions up to MVP that can be deployed into existing client business processes or scaled up based on clear documentation.
- Present findings to teammates and key stakeholders in a clear and repeatable manner.
Experience :
2 - 14 Yrs

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Technical Skills :
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- Strong understanding of various Python Libraries, APIs, and toolkits.
- Good experience in Django, Django REST Framework, and Flask framework.
- Understanding of AWS Serverless implementation using Lambda and API Gateway
- Hands-on Experience in Databases like Mysql, PostgreSQL.
- Good experience/understanding in Agentic AI / RAG.
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- Understanding of the whole web stack and how all the pieces fit together (front-end, database, network layer, etc.) and how they impact the performance of your application.
- Excellent understanding of MVC and OOP. Bonus for the understanding of prevalent design patterns.
- Excellent debugging and optimization skills
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- Building big, robust, scalable, and maintainable applications.
- Debugging, Fixing bugs, Identifying Performance Issues, and Improving App Performance.
- Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
- Handling complex technical issues related to web app development & discussing solutions with the team.
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Exp: 7- 10 Years
CTC: up to 35 LPA
Skills:
- 6–10 years DevOps / SRE / Cloud Infrastructure experience
- Expert-level Kubernetes (networking, security, scaling, controllers)
- Terraform Infrastructure-as-Code mastery
- Hands-on Kafka production experience
- AWS cloud architecture and networking expertise
- Strong scripting in Python, Go, or Bash
- GitOps and CI/CD tooling experience
Key Responsibilities:
- Design highly available, secure cloud infrastructure supporting distributed microservices at scale
- Lead multi-cluster Kubernetes strategy optimized for GPU and multi-tenant workloads
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If interested Kindly share your updated resume at 82008 31681
Responsibilities:-
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- 3-5 years of experience in frontend development working in a fintech industry, with a focus on highly scalable systems.
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Company Name: Wave Trendz Pet LTD (NAFA Group)
Languages English/ Hindi/ Telugu
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Develop and implement territory-specific sales strategies to achieve revenue targets.
Identify and acquire new clients while managing relationships with existing clients.
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Collaborate with the marketing team to execute territory-focused campaigns and events.
Analyze market trends and competitor activities to identify growth opportunities.
Provide regular reports and updates on sales performance and business activities.
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assist in ERP Development, Implementation and Marketing assist in ERP Development, Implementation and Marketing assist in ERP Development, Implementation and Marketing assist in ERP Development, Implementation and Marketing assist in ERP Development, Implementation and Marketing
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- Ensuring all operations are carried on in an appropriate, cost-effective manner
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What you must have:
- B.E./B.Tech and MBA from premier college
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- Expertise in MS Excel, Word and PowerPoint
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- Excellent problem-solving skills with deep attention to detail
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- Ability to design and develop database architectures
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Bangalore/Pune
Full Time
We are seeking a collaborative, organized, process and detail oriented Release manager to drive high quality, on-time deployment of quarterly product releases by designing, implementing and executing effective release management processes in a collaboration with global Engineering, Operations, Product Management, services and Technical Support teams.
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- Planning release windows and cycles across portfolios, components
- Managing relationships working on interrelated processes
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- Excellent analytical skills
- Structured thinking
- Experience in coordinating cross-functional work teams up to task completion.
We have a passion for excellence. We love what we’re doing and have fun doing it. We value great minds, but we’re also humble enough to rally around the best solution, regardless of whose idea it was. We appreciate talent, and we are always on the lookout for the right people to join us. dial for info nine one zero one four double three eight one two.
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