Who are we aka "About Us":
We are an early-stage Fintech Startup - working on exciting Fintech Products for some of the Top 5 Global Banks and building our own. If you are looking for a place where you can make a mark and not just be a cog in the wheel, Baker street Fintech Pvt Ltd (Parent Company) might be the place for you. We have a flat, ownership-oriented culture, and deliver world-class quality. You will be working with a founding team that has delivered over 26 industry-leading product experiences and won the Webby awards for Digital Strategy. In short, a bleeding edge team.
As Cambridge Wealth, we are well-established in the wealth and mutual fund distribution segment, having won awards from BSE Star as well as Mutual Fund houses. Our UHNI/HNI/NRI clients include renowned professionals from various industries.
What are we looking for a.k.a “The JD” :
We are seeking a skilled and detail-oriented Data Analyst to join our product team. As a Data Analyst, you will play a crucial role in extracting, analysing, and interpreting complex financial data to drive strategic decision-making and optimize our data solutions. The ideal candidate should possess a strong foundation in SQL / NoSQL databases, Python programming, and proficiency in tools like PostgreSQL and Excel. A deep understanding of financial concepts is also a plus. Additionally, having an interest in business intelligence tools and machine learning will be valuable for this role.
Responsibilities:
- Proficient in writing complex SQL Queries
- Utilize Python for data manipulation, analysis, and visualisation, using libraries such as pandas, matplotlib, psycopg etc.
- Perform database optimization, indexing, and query tuning to ensure high performance.
- Monitor and maintain data quality, troubleshoot data-related issues, and implement solutions to optimize data integrity and performance.
- Design, configure, and maintain PostgreSQL databases
- Set up and manage database clusters, replication, and backups for disaster recovery
Preferred Qualifications:
- Intermediate-level Excel skills for data analysis and reporting.
- Strong communication skills to present findings effectively and recommendations to both technical and non-technical stakeholders.
- Detail-oriented mindset with a commitment to data accuracy and quality.
*(Only Applicants who have finished their educational commitments are requested to apply)
Not sure whether you should apply? Here's a quick checklist to make things easier. You are someone who:
- Has worked (1-3 years preferably) or is looking to work specifically with an early-stage startup.
- You are ready to be a part of a Zero To One Journey which implies that you shall be involved in building fintech products and process from the ground up.
- You are comfortable to work in an unstructured environment with a small team where you decide what your day looks like and take initiative to take up the right piece of work, own it and work with the founding team on it.
- This is not an environment where someone will be checking up on you every few hours. It is up to you to schedule check-ins whenever you find the need to, else we assume you are progressing well with your tasks. You will be expected to find solutions to problems and suggest improvements.
- You want complete ownership for your role & be able to drive it the way you think is right.
- You can be a self-starter and take ownership of deliverables to develop a consensus with the team on approach and methods and deliver to them.
- Are looking to stick around for the long term and grow with the company.

About Cambridge Wealth (Baker Street Fintech)
About
Baker Street Fintech (Product Name: Cambridge Wealth) is a Financial Products Company. We help build world-class Fintech Products for our Clients who want to manage their wealth on our platform. Founded by professionals with Experiences spanning from PwC UK to Banking and Technology firms, we are a financially stable, profitable company growing quickly!
Tech stack
Connect with the team
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Job Title: Senior AI/ML Engineer/Team Lead
Location: Gurugram, Haryana
Employment Type: Full-Time
Experience: 4-9 Years
CTC: Up to 15LPA
About Aaizel Tech
Aaizel Tech is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We drive innovation by delivering transformative technology solutions across industries. As a growing startup, we are looking for passionate and versatile professionals eager to work on cutting-edge projects in a dynamic environment.
Role Overview
As a Senior AI/ML Engineer at Aaizel Tech, you will lead the design, development, and deployment of advanced Machine Learning models and AI solutions. You will work on projects ranging from predictive analytics and NLP to computer vision and anomaly detection. You will also mentor a team of AI/ML professionals, collaborate with cross-functional teams, and drive innovation by integrating state-of-the-art research with scalable production systems.
Key Responsibilities
1. Model Development & Optimization
Design & Implementation:
- Architect and develop end-to-end ML solutions for applications such as predictive analytics, anomaly detection, computer vision, and NLP.
- Utilize advanced techniques including deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) to address complex challenges.
Optimization:
- Fine-tune model parameters using techniques such as hyperparameter tuning (Grid Search, Bayesian Optimization, Neural Architecture Search).
- Optimize models for both accuracy and inference speed to meet real-time processing requirements.
2. Advanced Data Engineering & Integration
Data Pipeline Development:
- Build robust ETL pipelines using libraries like Pandas, NumPy, and PySpark to process large-scale datasets from satellite imagery, IoT sensors, and real-time streams.
- Integrate data from diverse sources (APIs, databases, big data platforms like Hadoop and Apache Kafka) to support real-time analytics.
Data Quality & Preprocessing:
- Implement data cleansing, feature engineering, and transformation pipelines to ensure high-quality inputs for ML models.
3. Research & Innovation
Algorithm Research:
- Conduct research on state-of-the-art ML techniques including Transfer Learning, Transformer models, and AutoML to enhance model performance.
- Innovate new algorithms for specialized tasks such as geospatial analysis, environmental modeling, or cybersecurity threat detection.
Prototyping & Experimentation:
- Develop proof-of-concept models and prototypes to validate new approaches before production deployment.
4. Deployment, MLOps & Performance Monitoring
Model Deployment:
- Deploy models using containerization (Docker) and orchestration tools (Kubernetes) to ensure scalable and efficient production environments.
- Work with cloud platforms (AWS, Azure, GCP) and model serving solutions (TensorFlow Serving, ONNX, TorchServe) for high-throughput inference.
MLOps & Lifecycle Management:
- Implement CI/CD pipelines for ML models, ensuring seamless updates and versioning.
- Develop monitoring dashboards (using Prometheus, Grafana) to track model performance and trigger retraining based on real-time feedback.
5. Collaboration & Leadership
Cross-Functional Teamwork:
- Collaborate closely with data engineers, software developers, domain experts, and product managers to integrate AI solutions into end-to-end products.
Mentorship & Code Quality:
- Provide technical leadership and mentorship to junior AI/ML engineers, ensuring adherence to coding standards and best practices.
- Participate in code reviews, maintain detailed documentation, and foster a culture of continuous learning.
Recommended Technology Stack
Backend Framework:
- Python (Django/FastAPI): Ideal for API integration, leveraging Python’s rich AI/ML ecosystem.
AI/ML Frameworks:
- PyTorch + Hugging Face Transformers + scikit-learn: For flexibility in research, multilingual NLP tasks, and classical ML pipelines.
Data Engineering:
- Apache Kafka + Apache Spark + Apache NiFi: To handle both real-time data streaming and batch processing.
Database & Storage:
- PostgreSQL with TimescaleDB extension: For structured and time-series data storage.
DevOps & Monitoring:
- Docker, Kubernetes, GitLab CI/CD, Prometheus/Grafana: For containerized deployments, continuous integration, and comprehensive monitoring.
Media Processing:
- OpenCV, FFmpeg, Tesseract OCR, Wav2Vec2: To support image, video, and speech-to-text processing where needed.
Required Skills & Qualifications
Technical Expertise:
- Experience:
- 4+ years in Machine Learning, AI research, or a related field with a proven track record of delivering production-level AI solutions.
- Programming & Frameworks:
- Expertise in Python and hands-on experience with frameworks like PyTorch, TensorFlow, and scikit-learn.
- Experience with Hugging Face Transformers for NLP applications.
- Data Engineering:
- Proficiency in building data pipelines using Pandas, NumPy, PySpark, and integrating data from diverse sources.
- Familiarity with big data platforms and real-time data processing frameworks.
- Model Deployment & MLOps:
- Hands-on experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models.
- Experience with cloud deployment and model serving solutions.
- Research & Innovation:
- Demonstrated ability to apply advanced ML techniques (deep learning, transfer learning, reinforcement learning) to solve real-world problems.
- Testing & Optimization:
- Strong background in model evaluation, hyperparameter tuning, and performance optimization.
Soft Skills:
- Exceptional problem-solving and analytical abilities.
- Strong communication skills, with the ability to present complex technical concepts to diverse stakeholders.
- Leadership and mentoring experience, with a collaborative approach to working in cross-functional teams.
- Ability to thrive in a fast-paced, dynamic environment and drive continuous innovation.
Educational Background:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field from a reputed institution.
What We Offer
- Innovative Projects: Engage in cutting-edge AI/ML projects that influence product strategy and technological innovation.
- Professional Growth: Opportunities for continuous learning, mentorship, and career advancement.
- Collaborative Culture: Work within a diverse team of experts passionate about pushing the boundaries of technology.
- Impactful Work: Play a key role in shaping AI-driven solutions and driving real-world impact.
Join Aaizel Tech as a Senior AI/ML Engineer and lead the development of innovative, scalable AI solutions that transform industries and drive digital excellence!
About the Role
We are looking for a dynamic and result-oriented EdTech Sales Representative with prior experience in Institutional Sales. The role focuses on building partnerships with colleges and universities by engaging with key academic stakeholders and driving collaborations for student training programs.
Key Responsibilities
- Drive institutional sales by onboarding colleges and universities for training collaborations
- Identify, approach, and generate leads from educational institutions in assigned regions
- Visit campuses and schedule meetings with HODs, placement cells, and decision-makers
- Present Iklavya’s training solutions and convert prospects into long-term partnerships
- Negotiate and close agreements/MoUs with institutions
- Build and maintain strong relationships with academic stakeholders
- Maintain a consistent sales pipeline and follow up on leads
- Provide regular updates, reports, and market insights to the team
Required Skills & Qualifications
- Mandatory: Prior experience in Institutional Sales (B2B / Education / EdTech sector)
- Proven ability to close deals with colleges, universities, or similar institutions
- Strong communication, presentation, and negotiation skills
- Confidence in interacting with senior academic professionals (HODs, Deans, Management)
- Self-driven, target-oriented, and proactive approach
- Basic knowledge of MS Office (Excel, PowerPoint, etc.)
Travel Requirements
- Willingness to travel extensively within assigned regions
- Candidates should be comfortable visiting colleges in Prayagraj, Lucknow, and nearby cities like Varanasi
Eligibility Criteria
- Graduate in any discipline (MBA preferred)
- 1–4 years of relevant experience in Institutional / B2B Sales
Job Description:
Hiring for Senior Salesforce ServiceMax Consultant
Experience : 8+ Years
Location: Remote(Contract)
Salesforce Admin certification, ServiceMax 101 and ServiceMax 201 certifications required.
8+ years working in Salesforce ServiceMax Administrator and a strong understanding of Salesforce best practices Salesforce ServiceMax & Service Cloud experience is required.
Experience on full-cycle implementation of ServiceMax Experience on designing solutions within the ServiceMax platform and Salesforce Salesforce analytics configuration experience is required Salesforce flow configuration experience is required Understand data integrations between various enterprise applications (e.g. SAP).
Experience with JIRA Projects and Service Management system is desirable. Proven experience with developing and implementing ServiceMax solutions such as Depot Repair and Factory Repair processes.
Hands-on experience building SFMs, Inventory management, Preventative Maintenance, Work Execution Hands-on Experience with Contracts, Warranties, Entitlements Management.
Digital Marketing is a lot more than what it is usually portrayed as and we delve into “the lot more”for SMBs. we have grown well and what started as a small personal project a year ago has now grown into a family of 45+ clients and 8 smart people- all within a year! And guess what, we never spent a single penny on advertising! It was all referral and so you can imagine the quality of work that we have been doing.
Now, if you are someone who can fit in such a high performing environment, do read the job description very thoroughly and then apply!
Responsibilities
Be the primary point of contact for the clients.
Assist in creating a digital strategy for the clients. These are SMEs, hard on cash but high on hope so we have to be extra wise with what we suggest!
Get things done from the CG team. You see, since you will interact with the client, you will know what they want and you alone will have to make sure that the work gets done!
Advocate for the client to ensure that we’re not just checking off boxes in a task manager, but instead moving them forward and reaching their objectives (we call this Remarkable ROI)
Note: You’re not responsible to bring in new clients (this is not a sales position). You are responsible to keep and grow your clients with Remarkable Client Experiences, Remarkable Excellence, and Remarkable ROI and if that gets us Referrals- well nothing better than that!
Note: Our digital marketing projects include both “traditional” digital marketing such as SEO and Email Marketing/Whatsapp Marketing/Affiliate Marketing as well as web design & development projects. For this position though, we will stick to SEO/SMO/PPC
What we are looking for
Digital marketing experience (and most importantly, the ability to learn & grow, stay on top of current trends, and focus on results). Followed by…
Strong project management skills (aka, the ability to efficiently and effectively get things done yourself and through other people). Followed by….
Ability to provide remarkable client experiences.
Who we are not looking for
You’re busy, we’re busy. If you don’t meet these requirements, please focus on the other fish in
the sea. These are indeed requirements
Minimum of 1.5 years as a hands-on digital marketing professional
Minimum of 1 year as someone who has been interacting with the clients. If you have worked
in B2B, it would be great!
Digital Marketing & Web Design Project experience
A focus on the details (really… pay close attention to the details if you’d like to get an interview
for this position)
If You’re a Good Fit, You Probably
Thrive in a small and growing team (<10 people on our way to 20)
Do some sort of digital marketing (or learning) in your spare time… it’s not just a day-job for
you
Know how to work on Google Analytics, Tag Manager, Google Ads, Facebook Business
Manager, Instagram Marketing, Email Marketing Tools, Canva (just a little bit), WordPress,
Wix, and anything else that is relevant to digital marketing
Feel at home with spreadsheets and task management tools
Are comfortable with IM tools, email, video calls, and the phone but believe in the power of
minimising interactions.
BTW: when applying, use the passcode “WTH

Roles and Responsibilities:
• Gather and analyse cloud infrastructure requirements
• Automating system tasks and infrastructure using a scripting language (Shell/Python/Ruby
preferred), with configuration management tools (Ansible/ Puppet/Chef), service registry and
discovery tools (Consul and Vault, etc), infrastructure orchestration tools (Terraform,
CloudFormation), and automated imaging tools (Packer)
• Support existing infrastructure, analyse problem areas and come up with solutions
• An eye for monitoring – the candidate should be able to look at complex infrastructure and be
able to figure out what to monitor and how.
• Work along with the Engineering team to help out with Infrastructure / Network automation needs.
• Deploy infrastructure as code and automate as much as possible
• Manage a team of DevOps
Desired Profile:
• Understanding of provisioning of Bare Metal and Virtual Machines
• Working knowledge of Configuration management tools like Ansible/ Chef/ Puppet, Redfish.
• Experience in scripting languages like Ruby/ Python/ Shell Scripting
• Working knowledge of IP networking, VPN's, DNS, load balancing, firewalling & IPS concepts
• Strong Linux/Unix administration skills.
• Self-starter who can implement with minimal guidance
• Hands-on experience setting up CICD from SCRATCH in Jenkins
• Experience with Managing K8s infrastructure
What you will do:
- Daily planning, creating, monitoring and analysis of all advertising campaigns
- Monitoring and reporting performance of new and existing products
- Analyzing revenue, campaign performance, ACOS, daily ad spends, etc.
What you need to have:
- 2 years’ experience with marketplaces is a must
- Skilled at PPC optimization techniques
- Direct, hands-on experience in managing large scale, complex paid search and shopping feed campaigns
- Strong analytical skills
- Experience in data analysis, performance trends etc
We are searching for a smart, dynamic individuals who have a passion for coding and a strong will to learn to join our business development team and help us achieve our targets by selling our products through targetting pitching. To be successful in this role, you should have experience selling online products and work well in a team.
Responsibilities:
- Connect and engage with pre generated leads via outbound calls (approx. 80-100 calls).
- Reach out to new customers and explain to them the benefits of Quikkloan services.
- Initiate repeat sales by follow up phone calls from existing customers.
- Develop in-depth knowledge of products and services to make suitable recommendations based on customer needs.
- Continually meeting or exceeding daily and monthly targets with respect to call volume and sales.
- Achieve sales targets by new customer acquisition and ensure growth / revenue from existing customers.
- Adhere to quality standards and processes within defined metrics.
we are looking for a Sr. Software UI Engineer to join us! You will design, develop, troubleshoot and debug software programs for software enhancements and new products. Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools. Determines hardware compatibility and/or influences hardware design. If you have a track record in and a passion for software engineering, want to be part of a business that is growing—with great opportunities, and are ready for your next role, then please apply today.
- Web development using PHP & experience in coding on MVC architecture of Laravel
- REST API knowledge is a must with oAuth security
- Understanding of mobile apps with REST API integration, firebase & google analytics is important
- Need to have knowledge of querying MySQL & NoSQL databases like MongoDB
- Experience with Node Js for our notification system
- Understanding of cloud services like Google cloud & AWS ec2 instance is a bonus for the profile







