Research Scientist - Machine Learning/Artificial Intelligence
Machine Learning (ML)
Shubham Vishwakarma
Full Stack Developer - Averlon
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Role Overview:
As an AI Executor/AI Automation Engineer, you will be responsible for designing and integrating AI capabilities into production systems using Python and key ML libraries. This role requires a strong backend development foundation and a proven track record of deploying AI use cases using tools like TensorFlow, Keras, or OpenAI APIs. You'll work cross-functionally to deliver scalable AI-driven solutions.
Key Responsibilities:
- Design and develop backend solutions using Python, with a focus on AI-driven features.
- Implement and integrate AI/ML models using tools like OpenAI, Hugging Face, or Lang Chain.
- Use core Python libraries (NumPy, Pandas, TensorFlow, Keras) to process data, train, or implement models.
- Translate business needs into AI use cases and deliver working solutions.
- Collaborate with product, engineering, and data teams to define integration workflows.
- Develop REST APIs and micro services to deploy AI components within applications.
- Maintain and optimize AI systems for scalability, performance, and reliability.
- Keep pace with advancements in the AI/ML landscape and evaluate tools for continuous improvement.
Required Skills & Qualifications:
- 2+ years of professional experience as an AI/ML Engineer, including strong backend development expertise in Python.
- Proficiency in libraries such as NumPy, Pandas, TensorFlow, and Keras
- Practical exposure to AI platforms/APIs (e.g., OpenAI, LangChain, Hugging Face)
- Solid understanding of REST APIs, micro services, and integration practices
- Ability to work independently in a remote setup with strong communication and ownership
- Excellent problem-solving and debugging capabilities
- Experience with the MERN stack will be an added advantage.
Data ScienceMachine Learning (ML)Requirements-
● B.Tech/Masters in Mathematics, Statistics, Computer Science or another quantitative field
● 2-3+ years of work experience in ML domain ( 2-5 years experience )
● Hands-on coding experience in Python
● Experience in machine learning techniques such as Regression, Classification,Predictive modeling, Clustering, Deep Learning stack, NLP.
● Working knowledge of Tensorflow/PyTorch
Optional Add-ons-
● Experience with distributed computing frameworks: Map/Reduce, Hadoop, Spark etc.
● Experience with databases: MongoDB
Data Science
R Programming
PythonMachine Learning (ML)Job Responsibilities
- Design machine learning systems
- Research and implement appropriate ML algorithms and tools
- Develop machine learning applications according to requirements
- Select appropriate datasets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
Requirements for the Job
- Bachelor’s/Master's/PhD in Computer Science, Mathematics, Statistics or equivalent field andmust have a minimum of 2 years of overall experience in tier one colleges
- Minimum 1 year of experience working as a Data Scientist in deploying ML at scale in production
- Experience in machine learning techniques (e.g. NLP, Computer Vision, BERT, LSTM etc..) andframeworks (e.g. TensorFlow, PyTorch, Scikit-learn, etc.)
- Working knowledge in deployment of Python systems (using Flask, Tensorflow Serving)
- Previous experience in following areas will be preferred: Natural Language Processing(NLP) - Using LSTM and BERT; chatbots or dialogue systems, machine translation, comprehension of text, text summarization.
- Computer Vision - Deep Neural Networks/CNNs for object detection and image classification, transfer learning pipeline and object detection/instance segmentation (Mask R-CNN, Yolo, SSD).
JOB DETAILS:
* Job Title: Head of Engineering/Senior Product Manager
* Industry: Digital transformation excellence provider
* Salary: Best in Industry
* Experience: 12-20 years
* Location: Mumbai
Job Description
Role Overview
The VP / Head of Technology will lead company’s technology function across engineering, product development, cloud infrastructure, security, and AI-led initiatives. This role focuses on delivering scalable, high-quality technology solutions across company’s core verticals including eCommerce, Procurement & e-Sourcing, ERP integrations, Sustainability/ESG, and Business Services.
This leader will drive execution, ensure technical excellence, modernize platforms, and collaborate closely with business and delivery teams.
Roles and Responsibilities:
Technology Execution & Architecture Leadership
· Own and execute the technology roadmap aligned with business goals.
· Build and maintain scalable architecture supporting multiple verticals.
· Enforce engineering best practices, code quality, performance, and security.
· Lead platform modernization including microservices, cloud-native architecture, API-first systems, and integration frameworks.
Product & Engineering Delivery
· Manage multi-product engineering teams across eCommerce platforms, procurement systems, ERP integrations, analytics, and ESG solutions.
· Own the full SDLC — requirements, design, development, testing, deployment, support.
· Implement Agile, DevOps, CI/CD for faster releases and improved reliability.
· Oversee product/platform interoperability across all company systems.
Vertical-Specific Technology Leadership
Procurement Tech:
· Lead architecture and enhancements of procurement and indirect spend platforms.
· Ensure interoperability with SAP Ariba, Coupa, Oracle, MS Dynamics, etc.
eCommerce:
· Drive development of scalable B2B/B2C commerce platforms, headless commerce, marketplace integrations, and personalization capabilities.
Sustainability/ESG:
· Support development of GHG tracking, reporting systems, and sustainability analytics platforms.
Business Services:
· Enhance operational platforms with automation, workflow management, dashboards, and AI-driven efficiency tools.
Data, Cloud, Security & Infrastructure
· Own cloud infrastructure strategy (Azure/AWS/GCP).
· Ensure adherence to compliance standards (SOC2, ISO 27001, GDPR).
· Lead cybersecurity policies, monitoring, threat detection, and recovery planning.
· Drive observability, cost optimization, and system scalability.
AI, Automation & Innovation
· Integrate AI/ML, analytics, and automation into product platforms and service delivery.
· Build frameworks for workflow automation, supplier analytics, personalization, and operational efficiency.
· Lead R&D for emerging tech aligned to business needs.
Leadership & Team Management
· Lead and mentor engineering managers, architects, developers, QA, and DevOps.
· Drive a culture of ownership, innovation, continuous learning, and performance accountability.
· Build capability development frameworks and internal talent pipelines.
Stakeholder Collaboration
· Partner with Sales, Delivery, Product, and Business Teams to align technology outcomes with customer needs.
· Ensure transparent reporting on project status, risks, and technology KPIs.
· Manage vendor relationships, technology partnerships, and external consultants.
Education, Training, Skills, and Experience Requirements:
Experience & Background
· 16+ years in technology execution roles, including 5–7 years in senior leadership.
· Strong background in multi-product engineering for B2B platforms or enterprise systems.
· Proven delivery experience across: eCommerce, ERP integrations, procurement platforms, ESG solutions, and automation.
Technical Skills
· Expertise in cloud platforms (Azure/AWS/GCP), microservices architecture, API frameworks.
· Strong grasp of procurement tech, ERP integrations, eCommerce platforms, and enterprise-scale systems.
· Hands-on exposure to AI/ML, automation tools, data engineering, and analytics stacks.
· Strong understanding of security, compliance, scalability, performance engineering.
Leadership Competencies
· Execution-focused technology leadership.
· Strong communication and stakeholder management skills.
· Ability to lead distributed teams, manage complexity, and drive measurable outcomes.
· Innovation mindset with practical implementation capability.
Education
· Bachelor’s or Master’s in Computer Science/Engineering or equivalent.
· Additional leadership education (MBA or similar) is a plus, not mandatory.
Travel Requirements
· Occasional travel for client meetings, technology reviews, or global delivery coordination.
Must-Haves
· 10+ years of technology experience, with with at least 6 years leading large (50-100+) multi product engineering teams.
· Must have worked on B2B Platforms. Experience in Procurement Tech or Supply Chain
· Min. 10+ Years of Expertise in Cloud-Native Architecture, Expert-level design in Azure, AWS, or GCP using Microservices, Kubernetes (K8s), and Docker.
· Min. 8+ Years of Expertise in Modern Engineering Practices, Advanced DevOps, CI/CD pipelines, and automated testing frameworks (Selenium, Cypress, etc.).
· Hands-on leadership experience in Security & Compliance.
· Min. 3+ Years of Expertise in AI & Data Engineering, Practical implementation of LLMs, Predictive Analytics, or AI-driven automation
· Strong technology execution leadership, with ownership of end-to-end technology roadmaps aligned to business outcomes.
· Min. 6+ Years of Expertise in B2B eCommerce Logic Architecture of Headless Commerce, marketplace integrations, and complex B2B catalog management.
· Strong product management exposure
· Proven experience in leading end-to-end team operations
· Relevant experience in product-driven organizations or platforms
· Strong Subject Matter Expertise (SME)
Education: - Master degree.
**************
Joining time / Notice Period: Immediate - 45days.
Location: - Andheri,
5 days working (3 - 2 days’ work from office)
Vue.js
AngularJS (1.x)
Angular (2+)
React.js
JavascriptThis role will report to the Chief Technology Officer
You Will Be Responsible For
* Driving decision-making on enterprise architecture and component-level software design to our software platforms' timely build and delivery.
* Leading a team in building a high-performing and scalable SaaS product.
* Conducting code reviews to maintain code quality and follow best practices
* DevOps practice development on promoting automation, including asset creation, enterprise strategy definition, and training teams
* Developing and building microservices leveraging cloud services
* Working on application security aspects
* Driving innovation within the engineering team, translating product roadmaps into clear development priorities, architectures, and timely release plans to drive business growth.
* Creating a culture of innovation that enables the continued growth of individuals and the company
* Working closely with Product and Business teams to build winning solutions
* Led talent management, including hiring, developing, and retaining a world-class team
Ideal Profile
* You possess a Degree in Engineering or a related field and have at least 20+ years of experience as a Software Engineer, with a 10+ years of experience leading teams and at least 4 Years of experience in building a SaaS / Fintech platform.
* Proficiency in MERN / Java / Full Stack.
* Led a team in optimizing the performance and scalability of a product
* You have extensive experience with DevOps environment and CI/CD practices and can train teams.
* You're a hands-on leader, visionary, and problem solver with a passion for excellence.
* You can work in fast-paced environments and communicate asynchronously with geographically distributed teams.
What's on Offer?
* Exciting opportunity to drive the Engineering efforts of a reputed organisation
* Work alongside & learn from best in class talent
* Competitive compensation + ESOPs
Django
Go Programming (Golang)
Data Analytics
Data ScienceMachine Learning (ML)Data engineers:
Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.This would also include develop and maintain scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity
Constructing infrastructure for efficient ETL processes from various sources and storage systems.
Collaborating closely with Product Managers and Business Managers to design technical solutions aligned with business requirements.
Leading the implementation of algorithms and prototypes to transform raw data into useful information.
Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.
Creating innovative data validation methods and data analysis tools.
Ensuring compliance with data governance and security policies.
Interpreting data trends and patterns to establish operational alerts.
Developing analytical tools, utilities, and reporting mechanisms.
Conducting complex data analysis and presenting results effectively.
Preparing data for prescriptive and predictive modeling.
Continuously exploring opportunities to enhance data quality and reliability.
Applying strong programming and problem-solving skills to develop scalable solutions.
Writes unit/integration tests, contributes towards documentation work
Must have ....
6 to 8 years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.
High proficiency in Scala/Java/ Python API frameworks/ Swagger and Spark for applied large-scale data processing.
Expertise with big data technologies, API development (Flask,,including Spark, Data Lake, Delta Lake, and Hive.
Solid understanding of batch and streaming data processing techniques.
Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.
Expert-level ability to write complex, optimized SQL queries across extensive data volumes.
Experience with RDBMS and OLAP databases like MySQL, Redshift.
Familiarity with Agile methodologies.
Obsession for service observability, instrumentation, monitoring, and alerting.
Knowledge or experience in architectural best practices for building data pipelines.
Good to Have:
Passion for testing strategy, problem-solving, and continuous learning.
Willingness to acquire new skills and knowledge.
Possess a product/engineering mindset to drive impactful data solutions.
Experience working in distributed environments with teams scattered geographically.
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• Handling critical incidents/escalations, reviewing incidents and tracking towards closure • Good experience in SIEM tools, event logging and event analysis • Good knowledge in enterprise security products like Firewalls, IPS, Web/content Filtering tools, Compliance tools • Team Management, performance monitoring and prepare reports on weekly, monthly basis and share to stakeholders as needed • Good knowledge about common security attacks, targeted attacks • Good experience in forensic analysis, Packet Analysis tools like Wireshar • Assisting, mentoring L2/L3 analysts and groom them to move to next level • Contribute to continue monitoring and improvement of security posture of the organization • Having experience of managing team of 25+ team members across multiple locations.
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• Primarily responsible for security event monitoring, management and response • Ensure incident identification, assessment, quantification, reporting, communication, mitigation and monitoring • Revise and develop processes to strengthen the current Security Operations Framework, Review policies and highlight the challenges in managing SLAs • Responsible for team & vendor management, overall use of resources and initiation of corrective action where required for Security Operations Center • Management, administration & maintenance of security devices under the purview of SOC which consists of state-of-the art technologies • Perform threat management, threat modeling, identify threat vectors and develop use cases for security monitoring • Responsible for integration of standard and non-standard logs in SIEM • Creation of reports, dashboards, metrics for SOC operations and presentation to Sr. Mgmt. • Co-ordination with stakeholders, build and maintain positive working relationships with them
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Machine Learning (ML)
Deep Learning------------------------
Solve problems in speech and NLP domain using advanced Deep learning and Machine Learning techniques. Few examples of the problems are -
* Limited resource Speaker Diarization on mono-channel recordings in noisy environment.
* Speech Enhancement to improve accuracy of downstream speech analytics tasks.
* Automated Speech Recognition for accent heavy audio with a noisy background.
* Speech analytic tasks, which include: emotions, empathy, keyword extraction.
* Text analytic tasks, which include: topic modeling, entity and intent extraction, opinion mining, text classification, and sentiment detection on multilingual data.
A typical day at work
-----------------------------
You will work closely with the product team to own a business problem. You will then model the business problem into a Machine Learning problem. Next you will do literature review to identify approaches to solve the problem. Test these approaches, identify the best approach, add your own insights to improve the performance and ship that to production!
What should you know?
---------------------------------
* Solid understanding of Classical Machine Learning and Deep Learning concepts and algorithms.
* Experience with literature review either in academia or industry.
* Proficiency in at least one programming language such as Python, C, C++, Java, etc.
* Proficiency in Machine Learning tools such as TensorFlow, Keras, Caffe, Torch/PyTorch or Theano.
* Advanced degree in Computer Science, Electrical Engineering, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics
Why DeepAffects?
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* You’ll learn insanely fast here.
* Esops and competitive compensation.
* Opportunity and encouragement for publishing research at top conferences, paid trips to attend workshop and conferences where you have published.
* Independent work, flexible timings and sense of ownership of your work.
* Mentorship from distinguished researchers and professors.
Javascript
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon