Research Scientist - Machine Learning/Artificial Intelligence

Job Title: Software Development - Team Lead

Location: Mohali (Phase 8B)

Company: 75WAY Technologies Pvt. Ltd.

Experience: 4+ Years

We are looking for an experienced Software Development Team Lead to manage a team of developers, oversee project execution, and actively participate in client meetings and requirement discussions. The ideal candidate should have strong technical expertise in MERN / MEAN / AIML technologies, along with proven leadership and communication skills to ensure successful delivery of software projects and high client satisfaction.

Responsibilities

• Lead and manage the software development team to deliver high-quality solutions
• Conduct client meetings, requirement gathering, and technical discussions
• Assign tasks, monitor progress, and ensure timely project delivery
• Provide technical guidance and mentorship to developers
• Coordinate between clients and internal teams to resolve issues
• Ensure adherence to coding standards, timelines, and quality processes
• Handle project planning, task allocation, and performance monitoring
• Maintain regular communication with clients regarding project status
• Identify risks and implement solutions to ensure smooth delivery

About SkillSecureX

SkillSecureX is a technology-focused platform dedicated to providing practical learning opportunities and industry-oriented exposure in Data Science, Artificial Intelligence, Machine Learning, Web Development, and emerging technologies. Our goal is to help students and freshers gain real-world experience through project-based internships and hands-on learning.

About the Internship

We are looking for enthusiastic and motivated candidates for the role of Data Science with AI Intern. This internship is designed for students, freshers, and aspiring data professionals who want to build practical skills in Data Science, Artificial Intelligence, data analysis, and machine learning technologies.

Interns will work on real-world datasets, AI-based projects, and practical assignments while learning industry-relevant tools and workflows under mentorship.

Roles & Responsibilities

• Work on data collection, cleaning, and preprocessing

• Analyze datasets and generate meaningful insights

• Assist in developing AI and Machine Learning models

• Create reports, dashboards, and data visualizations

• Work with Python libraries and data science tools

• Participate in project discussions and team collaboration

• Support research and development activities related to AI solutions

Required Skills

• Basic understanding of Python programming

• Interest in Data Science and Artificial Intelligence

• Familiarity with Excel, statistics, or data analysis concepts is a plus

• Knowledge of Machine Learning basics is beneficial

• Strong analytical and problem-solving skills

• Willingness to learn and work on practical projects

Eligibility

• Students pursuing graduation or post-graduation

• Freshers interested in Data Science and AI

• Candidates looking to gain practical industry experience

Perks & Benefits

• Internship Completion Certificate

• Hands-on experience on practical projects

• Flexible remote working environment

• Mentorship and industry-oriented learning

• Opportunity to strengthen resume and technical skills

🔹 Role: Python Engineer – Python & MLOps

📍 Location: Bellandur, Bangalore

🕐 Work Timings: 01:30 PM – 10:30 PM

🏢 Work Mode: Monday (WFH), Tuesday–Friday (WFO)

📅 Experience: 8-12 Years (Ideal: 8-10 Years)

🔹 Role Overview

This role focuses on building and maintaining a production-grade AI/ML platform. You will work on scalable Python systems, MLOps pipelines, APIs, and CI/CD workflows in an enterprise environment.

🔹 Key Responsibilities

✔ Develop production-grade Python applications using OOP principles

✔ Build and enhance MLOps pipelines (training, validation, deployment)

✔ Design and optimize REST APIs with OpenAI/Swagger

✔ Implement async programming for high-performance systems

✔ Work on CI/CD pipelines (Azure Pipelines / GitHub Actions)

✔ Ensure clean, testable, and maintainable code (PyTest, TDD)

🔹 Required Skills

✔ Strong Python (OOP, modular design)

✔ MLOps & CI/CD pipeline experience

✔ REST API development

✔ Async programming (async/await, concurrency)

✔ Pandas / Polars & Scikit-learn

✔ JSON Schema–driven development

✔ Testing using PyTest

🔹 Nice to Have

➕ Azure ML SDK

➕ Pydantic

➕ Azure Cosmos DB

➕ Experience with large enterprise platforms

Role: Data Scientist (Python + R Expertise)

Exp: 8 -12 Years

CTC: up to 30 LPA

Required Skills & Qualifications:

• 8–12 years of hands-on experience as a Data Scientist or in a similar analytical role.
• Strong expertise in Python and R for data analysis, modeling, and visualization.
• Proficiency in machine learning frameworks (scikit-learn, TensorFlow, PyTorch, caret, etc.).
• Strong understanding of statistical modeling, hypothesis testing, regression, and classification techniques.
• Experience with SQL and working with large-scale structured and unstructured data.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and deployment practices (Docker, MLflow).
• Excellent analytical, problem-solving, and communication skills.

Preferred Skills:

• Experience with NLP, time series forecasting, or deep learning projects.
• Exposure to data visualization tools (Tableau, Power BI, or R Shiny).
• Experience working in product or data-driven organizations.
• Knowledge of MLOps and model lifecycle management is a plus.

If interested kindly share your updated resume on 82008 31681

🌍 We’re Hiring: AI Success & Solutions (Lead / Manager / Director) | Remote | Full-time

Are you passionate about bridging AI technology with real business impact?

Do you enjoy working customer-facing, driving solution delivery, and ensuring measurable outcomes?

We’re looking for specialists in AI Success & Solutions to lead end-to-end delivery of enterprise AI projects. This role blends Solutions Architecture with Customer Success, partnering with clients to turn AI capabilities into tangible business value.

What You’ll Do:

🔹 Partner with Sales & Data Science to understand client challenges and define success criteria

🔹 Design solution architecture and data pipelines tailored to each use case

🔹 Own post-sale execution: manage projects, facilitate deployment, and track measurable outcomes

🔹 Ensure operational excellence with documentation, version control, and team coordination

🔹 Identify growth opportunities and act as a trusted strategic advisor to clients

What We’re Looking For:

✔️ 6+ years in hybrid technical + customer-facing roles (Solutions Architect, Customer Success, Engagement Manager)

✔️ Experience with applied Data Science, ML, GenAI (LLM prompting, RAG)

✔️ Proven ability to deliver AI or data-driven solutions in consulting or startup environments

✔️ Excellent storytelling and business value articulation for technical and executive audiences

✔️ Strong project management, ownership, and attention to detail

✔️ Global client experience preferred; professional fluency in English required

✨ Why Join Us:

• Drive measurable impact for Fortune 500 customers worldwide
• Be part of a category-defining AI company bridging agents and experts
• Own strategic accounts end-to-end and shape modern AI success
• Work with a high-performance, cross-functional team
• Globally competitive compensation & benefits

bout the Role

We are seeking an experienced Python Data Engineer with a strong foundation in API and basic UI development. This role is essential for advancing our analytics capabilities for AI products, helping us gain deeper insights into product performance and driving data-backed improvements. If you have a background in AI/ML, familiarity with large language models (LLMs), and a solid grasp of Python libraries for AI, we’d like to connect!

Key Responsibilities

•   Develop Analytics Framework: Build a comprehensive analytics framework to evaluate and monitor AI product performance and business value.

•   Define KPIs with Stakeholders: Collaborate with key stakeholders to establish and measure KPIs that gauge AI product maturity and impact.

•   Data Analysis for Actionable Insights: Dive into complex data sets to identify patterns and provide actionable insights to support product improvements.

•   Data Collection & Processing: Lead data collection, cleaning, and processing to ensure high-quality, actionable data for analysis.

•   Clear Reporting of Findings: Present findings to stakeholders in a clear, concise manner, emphasizing actionable insights.

Required Skills

•   Technical Skills:

o   Proficiency in Python, including experience with key AI/ML libraries.

o   Basic knowledge of UI and API development.

o   Understanding of large language models (LLMs) and experience using them effectively.

•   Analytical & Communication Skills:

o   Strong problem-solving skills to address complex, ambiguous challenges.

o   Ability to translate data insights into understandable reports for non-technical stakeholders.

o   Knowledge of machine learning algorithms and frameworks to assess AI product effectiveness.

o   Experience in statistical methods to interpret data and build metrics frameworks.

o   Skilled in quantitative analysis to drive actionable insights.

We are looking for an ML engineer (Neuroscience) and would like them to

• Build ML algorithms on MRI/ Medical data sets
• Design and build intelligent agents using continual learning and deep reinforcement learning techniques
• Study and transform data science prototypes
• 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-tune using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field
• Collaborate on technical proposals to grow and define artificial intelligence research for intelligent systems

Must have:

• Knowledge of MRI image processing and inferencing
• Hands-on machine learning expertise with an intensive knowledge of hyperparameter optimization, statistical assumption, and implications
• Experience in deep learning models
• Excellent Python programming skills for ML coding
• Understanding of ML integration with our software
• Good understanding of neuroscience/ clinical data

Bonus if you:

• Are enthusiastic about all things brain science and/or mental well-being
• We are a company that highly values the ability to communicate well. We all take turns at the blog roster, so writing experience and/or enthusiasm is appreciated
• Our core values encourage empathy and innovation, you are gold if you share these