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Shubham Vishwakarma
Full Stack Developer - Averlon
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Deep LearningMachine Learning (ML)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!
Python
Amazon Web Services (AWS)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.
Machine Learning (ML)Deep LearningPythonWe're looking for AI/ML enthusiasts who build, not just study. If you've implemented transformers from scratch, fine-tuned LLMs, or created innovative ML solutions, we want to see your work!
What You’ll Do
-Build autonomous AI agents using LangChain, LangGraph, and similar frameworks.
- Develop RAG pipelines with vector DBs like FAISS, Pinecone, or ChromaDB.
- Create FastAPI endpoints to expose agent functionality.
- Implement Model Context Protocol (MCP) for tool-agent integrations.
- Optimize prompts, workflows, and retrieval strategies for real performance.
- Contribute to new agentic AI design patterns and innovations.
Who Should Apply
We’re looking for freshers who are:
-Strong in Python and love experimenting with AI/ML projects.
- Familiar with one or more of these: LangChain/LangGraph, HuggingFace, PyTorch/TensorFlow, RAG pipelines.
- Active on GitHub with 2–3 well-documented projects (clean code + clear README).
- Curious, hands-on builders who want to learn by doing.
Bonus Points if you’ve dabbled with:
- LLM fine-tuning (LoRA, QLoRA), memory systems. AutoGen, CrewAI, MCP, or other agent frameworks.
- Docker, async programming, API integrations.
Education:
- Completed/Pursuing Bachelor's in Computer Science or related field
- Strong foundation in ML theory and practice
Apply if:
- You have done projects using GenAI, Machine Learning, Deep Learning.
- You must have strong Python coding experience.
- Someone who is available immediately to start with us in the office(Hyderabad).
- Someone who has the hunger to learn something new always and aims to step up at a high pace.
We value quality implementations and thorough documentation over quantity. Show us how you think through problems and implement solutions!
PythonMachine Learning (ML)Amazon Web Services (AWS)Title: Senior Software Engineer – Python (Remote: Africa, India, Portugal)
Experience: 9 to 12 Years
INR : 40 LPA - 50 LPA
Location Requirement: Candidates must be based in Africa, India, or Portugal. Applicants outside these regions will not be considered.
Must-Have Qualifications:
- 8+ years in software development with expertise in Python
- kubernetes is important
- Strong understanding of async frameworks (e.g., asyncio)
- Experience with FastAPI, Flask, or Django for microservices
- Proficiency with Docker and Kubernetes/AWS ECS
- Familiarity with AWS, Azure, or GCP and IaC tools (CDK, Terraform)
- Knowledge of SQL and NoSQL databases (PostgreSQL, Cassandra, DynamoDB)
- Exposure to GenAI tools and LLM APIs (e.g., LangChain)
- CI/CD and DevOps best practices
- Strong communication and mentorship skills
Data ScienceMachine Learning (ML)Pythono You’re both relentless and kind, and don’t see these as being mutually
exclusive
o You have a self-directed learning style, an insatiable curiosity, and a
hands-on execution mindset
o You have deep experience working with product and engineering teams
to launch machine learning products that users love in new or rapidly
evolving markets
o You flourish in uncertain environments and can turn incomplete,
conflicting, or ambiguous inputs into solid data-science action plans
o You bring best practices to feature engineering, model development, and
ML operations
o Your experience in deploying and monitoring the performance of models
in production enables us to implement a best-in-class solution
o You have exceptional writing and speaking skills with a talent for
articulating how data science can be applied to solve customer problems
Must-Have Qualifications
o Graduate degree in engineering, data science, mathematics, physics, or
another quantitative field
o 5+ years of hands-on experience in building and deploying production-
grade ML models with ML frameworks (TensorFlow, Keras, PyTorch) and
libraries like scikit-learn
o Track-record in building ML pipelines for time series, classification, and
predictive applications
o Expert level skills in Python for data analysis and visualization, hypothesis
testing, and model building
o Deep experience with ensemble ML approaches including random forests
and xgboost, and experience with databases and querying models for
structured and unstructured data
o A knack for using data visualization and analysis tools to tell a story
o You naturally think quantitatively about problems and work backward
from a customer outcome
What’ll make you stand out (but not required)
o You have a keen awareness or interest in network analysis/graph analysis
or NLP
o You have experience in distributed systems and graph databases
o You have a strong connection to finance teams or closely related
domains, the challenges they face, and a deep appreciation for their
aspirations
CHands-on experience in Autosar methodologies and workflows.
• Sound understanding of embedded SW development using C on 32/64 bit microcontrollers.
• Experience in at least one of microcontroller architectures: Renesas RH family, Tricore or PowerPC architecture.
• Automotive Product Development Process knowledge (ASpice, ISO26262)
• Experience in one or more of Autosar BSW Modules stacks.
• Autosar based SWcs development in any domain of cluster, ADAS and IVI system.
• Com stack (FlexRay, CAN, LIN, Ethernet) / Memory Stack/ Diagnostic stack/ OS, Wdg, other services.
• Working knowledge on AUTOSAR ECU software architecture
• Understand the various features provided by AUTOSAR BSW modules and configure BSW modules in Davinci Configurator or similar tools
• Understand the AUTOSAR application (SW-C) configuration and the interaction of AUTOSAR applications (SW-C) with the underlying BSW modules
• Understand the functionality of RTE, mapping of application entities with BSW module parameters, OS scheduling concepts, ECU and BSW module state changes
• Understand the AUTOSAR methodology (ECU extract contents, import of ECU extract into configuration tool)
Understand the flow of the AUTOSAR software from application till the underlying driver.
PythonData ScienceC++Strong competencies in data structures and algorithms.
Optimizing algorithm and code for performance or memory.
Familiarity with Linux/UNIX tools.
Engineers from Tier 1 college
Deep LearningData SciencePython
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon