React Native Developer

Are you a Python-savvy developer with experience & portfolio of working on python, AI, ML projects looking to work on innovative projects? Look no further! SJTech Solutions is seeking an ambitious and talented candidate to join our dynamic team. 

Key responsibilities:

1. Develop and implement AI models using Python, Machine Learning, Data Science, and Deep Learning techniques.

2. Working on deep learning and machine learning algorithms

3. Working on automation scripts

4. Working on supervised and unsupervised learning algorithms

5. Stay up-to-date with the latest advancements in AI technology and trends.

If you are passionate about AI and eager to work and grow in a fast-paced environment, we want to hear from you! Apply now!

Experience: 6+ years building and operating production ML systems that drive commercial decisions at scale. 

Location: Remote 

To streamline and fast-track screening, please submit your details here (if you haven’t already): https://airtable.com/appbtkr4odapnb5I6/pag05ROZwgz5AaLDG/form 

We’ll review your responses as part of the initial screening process. Please make sure you complete and submit all details through the form to be considered for the next stage. Submissions outside the form may not be considered.

Why This Role Matters

Terrabase builds decisioning infrastructure for enterprise customers: ranked recommendations, scoring pipelines, and policy-governed outputs that drive real commercial action. Our ML systems do not live in notebooks. They run multi-stage evaluation harnesses, apply structured governance rules, backtest against historical outcomes, and ship ranked outputs that customers act on daily.

This role owns the decisioning system end to end. That means the models, the eval harness, the policy layer, the production services, and the technical roadmap for where all of it goes next.

What You Will Do

Own the decisioning and ranking pipeline. Design, extend, and operate the end-to-end system: candidate generation in DuckDB, multi-stage scoring with LightGBM and AutoGluon, post-score policy application, and final ranked output delivery. You understand each layer well enough to debug latency, correctness, and coverage problems quickly, and to design the next version.

Lead the evaluation harness. Our eval pipeline runs multiple gates before any output ships: data health checks, specification validation, business rules enforcement, resolution checks, LLM-as-judge scoring, backtest against historical outcomes, and final output validation. You will own this harness, extend it as the system grows, and ensure every model or pipeline change is measurable and reproducible before it reaches a customer.

Apply policy logic with rigor. Our ML systems operate under structured governance rules that determine which offers apply to which customer segments, under what conditions. You will implement, test, and audit these rules in code, not configure them in a spreadsheet. Every exclusion must be traceable and explainable.

Engineer features that move metrics. Identify and build the behavioral signals, engagement indicators, contract features, and value-band attributes that improve model performance. Close the loop from feature hypothesis through offline evaluation to production monitoring. Own the data contracts between upstream sources and the scoring pipeline.

Build and maintain the production pipeline and service layer. The decisioning system is not a batch notebook. You will write and operate the Python pipeline and service layer that wraps model inference, handles edge cases, versions model artifacts, and connects to downstream consumers. You own CI, test coverage, reproducible training runs, monitoring, and production incidents.

Drive technical direction. Write design documents, lead code review, and set the engineering standard for the decisioning system. Help define the roadmap: what gets built, in what order, and why. Mentor contributors who work alongside you on this system.

Work forward-deployed. You will engage directly with customer stakeholders to understand business context, interpret model outputs, and translate commercial requirements into system constraints. You are accountable for customer delivery, not just model accuracy.

What We Are Looking For

• 6+ years building and operating production ML systems, not prototypes or research work
• Strong Python skills across the full ML lifecycle: data pipelines, feature engineering, model training, inference services, and monitoring
• Production experience with gradient boosting models (LightGBM, XGBoost)
• Hands-on with DuckDB or similar in-process analytical engines for large-scale data processing
• Evaluation discipline: held-out metrics, backtesting against historical data, multi-gate eval pipelines, LLM-as-judge patterns
• Experience applying business rules, policy overrides, or constraint layers on top of model outputs
• Engineering fundamentals: CI pipelines, data contracts, versioned artifacts, test coverage, incident response
• Technical leadership: design docs, code review, roadmap input, mentoring
• Comfort with forward-deployed work: you can run a meeting with a non-technical stakeholder and turn the output into a system requirement
• Comfort inheriting an existing production codebase, improving its structure, and raising reliability without rewriting everything from scratch

Bonus Points

• Experience with next-best-offer engines, customer-level targeting, or recommendation systems at scale
• Experience with AutoML frameworks (AutoGluon or similar) in a production scoring pipeline
• Thompson sampling, multi-armed bandits, or portfolio-level optimization experience
• Exposure to structured data from telecoms, financial services, or retail sectors
• Prior work owning a decisioning or ranking system as the technical lead

Life at Terrabase

We are a sharp, focused, fully remote team that ships to real enterprise customers weekly. You will own a system that drives measurable commercial outcomes, with high autonomy, generous cloud budgets, and a culture that prizes rigor over hype.

Terrabase is an equal-opportunity employer. We celebrate diversity and are committed to building an inclusive environment for every team member.

INDIA MART [ Auto - buyleads ] / GOOGLE MY BUSINEES [ Auto inquiry ] / SOCIAL MEDIA [ Auto inquiry ] / EXCISTING REF [ Auto inquiry ]                    [ LEADS->CALLS -> QUOTATIONS -> FILING -> FOLLOW UP -> ORDERS -> PAYMENT -> AFTER SALES -> REVIEWS ]  All the follow ups related to sales should be in updated in drive Immediate basis.

Job Description:

Your responsibilities will include:

• Conducting comprehensive keyword research to identify target keywords and opportunities for website optimization.
• Optimizing on-page elements such as meta tags, headings, and content to improve search engine visibility and user experience.
• Implementing off-page optimization strategies, including link building, content promotion, and outreach efforts.
• Monitoring website performance using Google Analytics and other SEO tools, and providing regular reports on key metrics and performance indicators.
• Conducting website audits and identifying technical issues that may impact SEO performance, and collaborating with the development team to implement solutions.
• Staying updated with industry trends and best practices in SEO, and proactively suggesting new ideas and strategies to improve campaign performance.
• Collaborating with other members of the digital marketing team to integrate SEO strategies with overall marketing initiatives and campaigns.

We look forward to reviewing your application.

Requirements:

• Bachelor’s degree in Marketing, Communications, Business, or related field.
• Proven track record of improving search engine rankings and driving organic traffic to websites.
• Strong understanding of search engine algorithms and ranking factors.
• Proficiency in SEO tools such as Google Analytics, Google Search Console, SEMrush, Moz, etc.
• Excellent analytical skills and ability to interpret data to make informed decisions.
• Strong communication skills, both written and verbal.
• Ability to work independently and manage multiple projects simultaneously.
• Certification in Google Analytics or other relevant certifications is a plus.

Benefits:

• Competitive salary based on experience and performance.
• Opportunity to work with a dynamic and talented team in a collaborative environment.
• Career growth and development opportunities within the company.
• Access to training and resources to enhance skills and stay updated with industry trends.

Job Types: Full-time, Permanent, Fresher

Education:

• Bachelor's (Preferred)

Experience:

• SEO: 1 year (Preferred)

ROLES & RESPONSIBILITIES: 

• Candidate will be responsible for test execution of LTE protocol and performance, analyze and report software defects, interwork with development teams in identifying a potential fix and retest fixes. 
• Should be having good analysis skills with a sound understanding of LTE Concepts. 
• Responsibilities include test execution- with failure root cause analysis System acquisition, LTE Protocol testing. 
• The candidate will also support troubleshooting and reproducing customer failures for debugging. 
• Must have good call processing knowledge as per 3GPP specifications for GSM/GPRS/EDGE/WCDMA/LTE capable phones. 
• Candidate must be reliable regular with good work ethics. 

REQUIRED SKILLS/ABILITIES: 

• LTE with 5G/4G Experience 

1. Understanding of LTE/5G/4G end-to-end flows 
2. Working experience on UEs and/or RAN side. 
3. Good understanding of RRC, RRM MAC & NAS protocols on the Air interface 

• Tools and Analytical Skills 

1. Log Analysis Experience 
2. Working experience with end-to-end setups 
3. Scripting experience on Keysight/Anite/Anritsu/R&S tools. 

EDUCATION & EXPERIENCE: 

• B.Tech/M.Tech in Electronics and Communication 
• 3 to 8 years plus experience in the 4G/5G domain 
• Excellent communication and strong Analytical skills required 

As a partial Google-acquired company, we’re proving success doesn’t come by accident.

Benison has a history of demonstrating growth by innovation. We re-invest our profits back into the initiatives for growth of our people and the company. The culture, technology innovations, customer service, our actions are aligned to our values. Our value and culture is the reason why our people stay with Benison much longer than industry standards

Get the best from your life with Benison

Join the Benison Developer Family

Benison Technologies is filled with passionate people who lead fascinating lives. You’ll fit right in. From the amazing benefits, mentorship, growth opportunities and team bonding activities, we help you thrive while experiencing the Benison life.*

Skills Required

MS WSUS ASP.NET, HTTP, WebServices Reverse Engineering & Debugging Performance Improvement

Network Programming skills

C++ to .NET Migration

Database Skills

MSSQL

SDLC Exposure

SCRUM

Soft skills such as proficiency in Spoken English, Creativity, Intelligent Thinking

Type of work

Sustenance & Upgrade

For more information you may visit *

https://benisontech.com/" target="_blank">https://benisontech.com/

We are looking for a data scientist that will help us to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. 

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance

• Excellent understanding of machine learning techniques and algorithms, such as Linear regression, SVM, Decision Forests, LSTM, CNN etc.
• Experience with Deep Learning preferred.
• Experience with common data science toolkits, such as R, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
• Great communication skills
• Proficiency in using query languages such as SQL, Hive, Pig 
• Good applied statistics skills, such as statistical testing, regression, etc.
• Good scripting and programming skills 
• Data-oriented personality