PHP Developer

About the Role

We're looking for a Senior AI/ML Engineer who thrives at the intersection of research and production — someone who doesn't just build models, but ships systems that scale. You'll own the full ML lifecycle: architecting robust data pipelines, training and rigorously evaluating models, and deploying them into high-throughput production environments. This is a role for engineers who want their work to move fast, break assumptions (not systems), and directly shape how AI gets built at scale. If you're energized by turning cutting-edge research into real-world impact, this is your next challenge.

Key Responsibilities

– Design, build, and maintain end-to-end ML pipelines — from raw data ingestion to model serving — with a focus on scalability and reliability.

– Develop, train, and rigorously evaluate ML/DL models using sound experimentation practices (A/B testing, offline/online metrics, statistical validation).

– Own the MLOps lifecycle: implement CI/CD pipelines for model training and deployment, version control for datasets and models, and automated retraining workflows.

– Deploy and monitor models in production using containerized, orchestrated infrastructure (Docker, Kubernetes), ensuring low-latency, high-availability inference.

– Collaborate cross-functionally with Data Engineering, Product, and Backend teams to translate business problems into scalable ML solutions.

– Optimize model performance for cost, latency, and accuracy trade-offs across cloud-based training and inference environments.

– Mentor and guide junior engineers and data scientists — conducting code reviews, sharing best practices, and raising the technical bar of the team.

– Stay current with emerging research (LLMs, generative AI, RAG architectures) and proactively identify opportunities to apply them to existing products.

Required Technical Skills

Languages

– Expert-level Python; working knowledge of R or C++ is a plus.

Frameworks

– TensorFlow, PyTorch, Scikit-Learn, Keras.

Data & Cloud

– Strong SQL and NoSQL fundamentals.

– Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), specifically their ML tooling — SageMaker, Vertex AI, or equivalent.

– Experience with distributed data processing frameworks: Spark, Hadoop.

MLOps & Deployment

– Proficiency with Docker and Kubernetes for containerized deployment.

– Experience building CI/CD pipelines for ML workflows.

– Familiarity with experiment tracking and pipeline orchestration tools like MLflow or Kubeflow.

Advanced / Nice-to-Have

– Practical experience with LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG) architectures.

– Experience fine-tuning transformer-based models for domain-specific use cases.

Qualifications & Experience

– Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.

– 5+ years of hands-on experience building, training, and deploying production-grade AI/ML models at scale.

– Demonstrated track record of taking models from prototype to production in a real-world business setting.

What We Offer

– Competitive compensation, benchmarked to top-tier tech talent in the industry.

– Comprehensive health insurance coverage for you and your family.

– Annual learning & development stipend for courses, certifications, and conferences.

– A collaborative, high-ownership culture where engineering excellence is celebrated.

– The opportunity to work on cutting-edge AI systems with direct, visible impact.

About Tech Transient

Tech Transient is an AI consulting and digital transformation firm headquartered in Coimbatore, Tamil Nadu.

We partner with enterprises and growth-stage companies to design and deliver intelligent digital products — spanning mobile applications, cloud platforms, and AI-driven solutions. Our mission is to translate emerging technology into measurable business outcomes.

Solutions Architect - Data Engineering

Modern tech solutions advisory & 'futurify' consulting as a Searce lead fds (‘forward deployed solver’) architecting scalable data platforms and robust data engineering solutions that power intelligent insights and fuel AI innovation.

If you’re a tech-savvy, consultative seller with the brain of a strategist, the heart of a builder, and the charisma of a storyteller — we’ve got a seat for you at the front of the table.

You're not a sales lead. You're the transformation driver.

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

• Improver. Solver. Futurist.
• Great sense of humor.
• ‘Possible. It is.’ Mindset.
• Compassionate collaborator. Bold experimenter. Tireless iterator.
• Natural creativity that doesn’t just challenge the norm, but solves to design what’s better.
• Thinks in systems. Solves at scale.

This Isn’t for Everyone. But if you’re the kind who questions why things are done a certain way— and then identifies 3 better ways to do it — we’d love to chat with you.

Your Responsibilities

what you will wake up to solve.

You are not just a Solutions Architect; you are a futurifier of our data universe and the primary enabler of our AI ambitions. With a deep-seated passion for data engineering, you will architect and build the foundational data infrastructure that powers the customers entire data intelligence ecosystem.

As the Directly Responsible Individual (DRI) for our enterprise-grade data platforms, you own the outcome, end-to-end. You are the definitive solver for our customer's most complex data challenges, leveraging a powerful tech stack including Snowflake, Databricks, etc. and core GCP & AWS services (BigQuery, Spanner, Airflow, Kafka). This is a hands-on-keys role where you won't just design solutions—you'll build them, break them, and perfect them.

• Solution Design & Pre-sales Excellence:Collaborate with cross-functional teams, including sales, engineering, and operations, to ensure successful project delivery.
• Design Core Data Engineering: Master data modeling, architecting high-performance data ingestion pipelines and ensuring data quality and governance throughout the data lifecycle.
• Enable Cloud & AI: Design and implement solutions utilizing core GCP data services, building foundational data platforms that efficiently support advanced analytics and AI/ML initiatives.
• Optimize Performance & Cost: Continuously optimize data architectures and implementations for performance, efficiency, and cost-effectiveness within the cloud environment.
• Bridge Business & Tech: Translate complex business requirements into clear technical designs, providing technical leadership and guidance to data engineering teams.
• Stay Ahead of the Curve: Continuously research and evaluate new data technologies, architectural patterns, and industry trends to keep our data platforms at the cutting edge.

Functional Skills:

• Enterprise Data Architecture Design: Expert ability to design holistic, scalable, and resilient data architectures for complex enterprise environments.
• Cloud Data Platform Strategy: Proven capability to strategize, design, and implement cloud-native data platforms.
• Pre-Sales & Technical Storyteller: Crafts compelling, client-ready proposals, architectural decks, and technical demonstrations. Doesn't just present; shapes the strategic technical narrative behind every proposed solution.
• Advanced Data Modelling: Mastery in designing various data models for analytical, operational, and transactional use cases.
• Data Ingestion & Pipeline Orchestration: Strong expertise in designing and optimizing robust data ingestion and transformation pipelines.
• Stakeholder Communication: Exceptional skills in articulating complex technical concepts and architectural decisions to both technical and non-technical stakeholders.
• Performance & Cost Optimization: Adept at optimizing data solutions for performance, efficiency, and cost within a cloud environment.

Tech Superpowers:

• Cloud Data Mastery: You're a wizard at leveraging public cloud data services, with deep expertise in GCP (BigQuery, Spanner, etc.) and expert proficiency in modern data warehouse solutions like Snowflake.
• Data Engineering Core: Highly skilled in designing, implementing, and managing data workflows using tools like Apache Airflow and Apache Kafka. You're also an authority on advanced data modeling and ETL/ELT patterns.
• AI/ML Data Foundation: You instinctively design data pipelines and structures that efficiently feed and empower Machine Learning and Artificial Intelligence applications.
• Programming for Data: You have a strong command over key programming languages (Python, SQL) for scripting, automation, and building data processing applications.

Experience & Relevance:

• Architectural Leadership (8+ Years): You bring extensive experience (7+ years) specifically in a Solutions Architect role, focused on data engineering and platform building.
• Cloud Data Expertise: You have a proven track record of designing and implementing production-grade data solutions leveraging major public cloud platforms, with significant experience in Google Cloud Platform (GCP).
• Data Warehousing & Data Platform: Demonstrated hands-on experience in the end-to-end design, implementation, and optimization of modern data warehouses and comprehensive data platforms.
• Databricks & BigQuery Mastery: You possess significant practical experience with Databricks as a core data warehouse and GCP BigQuery for analytical workloads.
• Data Ingestion & Orchestration: Proven experience designing and implementing complex data ingestion pipelines and workflow orchestration using tools like Airflow and real-time streaming technologies like Kafka.
• AI/ML Data Enablement: Experience in building data foundations specifically geared towards supporting Machine Learning and Artificial Intelligence initiatives.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’.

Don’t Just Send a Resume. Send a Statement.

So, If you are passionate about tech, future & what you read above (we really are!), apply here to experience the ‘Art of Possible’

TensorIoT: 

• AWS Advanced Consulting Partner (for ML and GenAI solutions) 
• Pioneers in IoT and Generative AI products. 
• Committed to diversity and inclusion in our teams.  

TensorIoT is an AWS Advanced Consulting Partner. We assist companies to realize the value and efficiency of the AWS ecosystem. From building Proof of Concepts and Product Prototypes to production-ready applications, we analyze complex business problems every day and develop solutions to drive customers’ success.

The founders of TensorIoT, have previously helped build world-class IoT and AI platforms in AWS and Google. Our mission now is to help connect devices and make them intelligent. We firmly believe in the transformative power of smart devices to enhance our quality of life. 

TensorIoT is proud to be an equal opportunity employer. We are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind, and make our hiring decisions based solely on qualifications, merit, and business needs at the time.

Job Description 

At the TensorIoT India team, we look forward to bringing on board mid-level and senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process. Please note: A candidate needs to qualify at least 4 of the 7 preferred qualifications listed below, to be eligible for the task / first round of interviews. 

What are the kinds of tasks Data Scientists do at TensorIoT?

As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client. 

Preferred Requirements: 

• PhD in the domain of Data Science / Machine Learning 
• M.Sc | M.Tech in the domain of Computer Science / Machine Learning 
• Hands-on experience in MLOps (model deployment, maintenance). 
• Some experience working with Generative AI (LLM). 
• Some experience in creating cloud-native technologies, and microservices design. 
• Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis. 
• Hands-on experience with Docker.

Minimum Requirements: 

• Masters + 3 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 5 years of work experience in Machine Learning Engineering 1 year of Cloud Experience. 
• Clear concepts of the following:
• - Supervised Learning, Unsupervised Learning, Reinforcement Learning
• - Statistical Modelling, Deep Learning
• - Interpretable Machine Learning
• - Linear Algebra 
• Scientific & Analytical mindset, proactive learning, adaptability to changes. 
• Strong interpersonal and language skills in English, to communicate within the team and with the clients. 

CV Tips: 

Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following: 

• Focus: 
• More focus on technical skills relevant to the job description. 
• Less or no focus on your roles and responsibilities as a manager, team lead, etc. 
• Less or no focus on the design aspect of the document. 
• Regarding the projects you completed in your previous companies, 
• Mention the problem statement very briefly. 
• Your role and responsibilities in that project. 
• Technologies & tools used in the project. 
• Always good to mention (if relevant): 
• Scientific papers published, Master Thesis, Bachelor Thesis. 
• Github link, relevant blog articles. 
• Link to LinkedIn profile. 
• Mention skills that are relevant to the job description and you could demonstrate during the interview/tasks in the selection process.  

We appreciate your interest in the company and look forward to your application.

                                  Job Description

Profile Title: Software Development Engineer

Location: Pune Remote

Company Profile:

Growloc Private Limited is a leading Agri-tech company in India specializing in IoT solutions for farm management. We empower farmers with innovative technology to optimize resource usage, improve yields, and ensure consistent quality produce. Backed by a team of passionate individuals, Growloc Private Limited is committed to creating a more sustainable and productive future for Indian agriculture.

Role Overview:

 We’re looking for a MERN Stack Engineer (SDE-2) who’s passionate about building impactful products and believes in working smarter—with AI copilots, automation, and lean dev cycles. You’ll be part of a high-ownership team responsible for delivering full-stack features, writing testable code, and deploying to production with CI/CD.

Key Responsibilities:

• Build and maintain robust full-stack applications using MongoDB, Nest.js, React.js, and Node.js.

• Actively leverage AI tools (Copilot, ChatGPT, etc.) for faster development, documentation, and writing test cases.

• Write and maintain unit, integration, and end-to-end tests to ensure code quality.

• Own features end-to-end—from design to deployment using modern CI/CD workflows (GitHub Actions, Vercel, AWS).

• Collaborate with product, data, and hardware teams in a lean setup to ship fast and iterate often.

• Ensure performance, responsiveness, and scalability of front-end and backend systems.

Required Skills:

• 2–5 years of professional experience building products using the MERN stack.

• Strong understanding of frontend architecture (React Hooks, Context API/Redux).

• Proficiency in Node.js, Express, and MongoDB schema design.

• Familiarity with CI/CD tools, Git workflows, and cloud deployments.

• Experience with automated testing frameworks (Jest, Mocha, Cypress, etc.).

• Demonstrated use of AI-based coding assistants in real-world development workflows.

Good to Have:

• Exposure to IoT systems or integration with hardware devices.

• Experience working with LoRaWAN protocols and sensor data ingestion.

• Familiarity with WebSockets, MQTT, or real-time data processing.

• Background in agriculture, climate-tech, or rural tech products.

• Knowledge of TypeScript or serverless architectures.

Compensation: Best as per the market standards

At Growloc, we believe in purpose-driven technology. You’ll be part of a collaborative team working at the intersection of agriculture and innovation. If you're excited about building products that matter—and making a real-world impact—this is the place for you.

As a Senior Sales Development Representative (SDR) at jhana.ai, you will play a pivotal role in identifying, prospecting, and engaging with our ideal customer profiles (ICPs) to set up high-quality meetings and contribute to jhana.ai's growth. This role requires expertise in SaaS sales, ICP evaluation, and strategic prospecting. You will have the opportunity to define and refine SDR processes, mentor team members, and help scale the SDR team as demand grows. This position involves regular client interaction, both virtually and in-person, and requires travel. If you bring a strong foundation in SaaS sales, extensive SDR experience, and a knack for building scalable processes, we’d love to meet you!

The day-to-day

Lead Generation and Prospecting

● Conduct targeted outreach to engage ideal prospects within the legal and tech sectors.

● Qualify potential clients based on established ICP criteria and set up meetings with high-potential leads for the sales team.

● Use multi-channel outreach (emails, calls, social media) to build a pipeline of qualified meetings.

ICP Evaluation and Process Optimization

● Work closely with sales leadership to refine and enhance ICP criteria based on customer insights and market feedback.

● Develop effective messaging and outreach strategies tailored to each ICP.

Process Development and Team Expansion

● Design and implement scalable workflows and processes for the SDR team, ensuring productivity and effectiveness.

● Coach, mentor, and support team members, driving best practices and continuous improvement.

● Partner with sales leadership to assess team needs and support expansion efforts as the business grows.

Metrics and Performance Analysis

● Track SDR KPIs and performance metrics, analyzing results to inform strategic adjustments.

● Leverage data-driven insights to optimize conversion rates and increase pipeline effectiveness.

Qualifications & Skills

● Experience: 3-7 years as an SDR, ideally in a SaaS environment, with a proven record of meeting or exceeding lead generation and meeting setup targets.

● Strategic Prospecting: Advanced skills in identifying high-potential leads through various channels, including LinkedIn, industry publications, events, and specialized data sources.

● Communication and Persuasion: Excellent verbal and written communication skills, able to convey complex ideas clearly and persuasively to different personas.

● High Emotional Intelligence (EQ): Skilled in handling objections, building rapport, and adapting communication to match customer needs and personalities.

● Process Design and Optimization: Experienced in setting up, documenting, and continuously improving SDR workflows and creating playbooks for lead qualification and handoff.

● Time Management and Organization: Strong organizational skills, with the ability to manage multiple tasks and prioritize effectively based on business impact.

● Data-Driven Decision Making: Proficiency in tracking, analyzing, and leveraging SDR metrics (e.g., conversion rates, response rates) to fine-tune strategies and drive results.

Key Responsibilities:

• Experience with C#, .Net, Azure DevOps, React.Js or Angular.
• Build, Maintain and Integrate applications developed in different tech stack MVC, .Net, C#, SQL, Azure Stack
• Design and implement build-deployment-test automation.
• Microservices, Database design and implementation for
• relational and non-relational databases.
• Excellent interpersonal, verbal, and written communication skills.

Role: HR Manager

Location: Mumbai (Bandra West)

About Qrata 

We match top talent with highly competitive career opportunities with leading startups in India and globally and address hiring challenges, recruitment brand marketing, with innovative and collaborative strategic consulting. 

About the company we're hiring for 

Our client is a technology company that focuses on transforming how the next billion urban Indians rent their homes. It is India's only fin-tech powered, end to end, digital home rental platform. They are backed by some of the leading real estate developers like Lodha and Godrej and top tier VCs. They have a total of 12 investors and some of the leading ones are Cred and Dream 11.

Job responsibilities include, but are not limited to: 

● People Management & Leadership: Lead the P&C team to continue developing People & Culture processes as outlined below. Continue to develop the existing team of People leaders through coaching, mentorship, and leadership. Recruit and hire new P&C staff as needed. 

● Employee Lifecycle Management: Oversee the end-to-end employee lifecycle from onboarding and development, through to transitions and exits, creating a positive experience for all employees and driving engagement. This will include the development of a data-driven framework for continuous improvement in all aspects of the employee experience. 

● Talent Acquisition and Recruitment: Partner with talent acquisition team on strategies including job description creation, vacancy advertising, candidate screening, interviewing, and hiring processes - ensuring the adoption of best practices in inclusive hiring. 

● Compensation and Benefits: Develop and implement a competitive compensation philosophy and benefits strategy that motivates employees, supports retention, and attracts new talent. 

● Talent Management and Succession Planning: Implement comprehensive talent management strategies that ensure the right people are in the right roles, manage performance, provide career development opportunities, develop skills matrices, and oversee promotions and transitions. Develop and execute succession-planning strategies that ensure business continuity and support our future growth. 

● Learning and Development: Develop and implement comprehensive learning and development programs, focusing on the skills and knowledge that employees need to excel in their roles. Develop a strategic L&D program to support Parachute’s leaders to help the company level up and scale. 

● Diversity, Equity, and Inclusion (DEI): Champion DEI by fostering a work environment that values diverse perspectives, promotes equal opportunities, and is inclusive of all employees. Develop policies and procedures that reflect the company’s DEI-B Values. 

● Employee Relations: Create and support a program that strengthens relationships between employees and the organization, resolving workplace conflicts, handling disciplinary procedures, and promoting employee well-being. Use metrics to address systemic issues, define root problems of employee-relation issues, and create programs to systematically address them. Support existing P&C team currently responsible for this function. 

● Legal Compliance: Ensure all HR policies and practices comply with local, state, and federal labor laws and regulations. 

● Organizational Development, Design, and Change Management: Drive organizational development and design efforts, working in collaboration with senior leaders across the organization to develop key HR staffing plans for new and existing departments. 

● HR Metrics, Analytics, and Strategic Investment: Implement a comprehensive HR dashboard that tracks key metrics across all HR functions. Utilize data analytics to inform strategic decision-making and guide investment in new full-time employees (FTEs), thereby maximizing profitability and optimizing capital deployment. 

What will set this person apart: 

● Proven business leader with 3+ years of leadership or management experience, in a leadership role within Human Resources. 

● Experience working in a high-growth tech startup or similar fast-paced industry is strongly preferred. 

● Demonstrated expertise in various aspects of HR management, including but not limited to talent management, learning & development, compensation strategy, and legal compliance. 

● Experience managing the end-to-end employee lifecycle and succession planning. 

● Proven track record of strategic thinking and decision-making ability, with the capacity to manage a critical function within the company. 

● Experience leading a team of HR professionals and working closely with senior leaders andexecutives in an organization. 

● Strong understanding of HR metrics and data-driven decision-making. 

● Excellent communication, negotiation, and presentation skills. 

The role will be in person from Monday to Friday. 

Key Responsibilities:

Record to Report, Taxation & Filing.

Requirements:

Electronic payment of all federal, state & local payroll taxes where applicable, with accurate and timely payroll tax deposits and returns.

Maintain records accordingly.

Withholding & remittance of employee garnishment payments to the appropriate agencies.

Working Hours: 7 PM- 4 AM |Mon-Fri

Working Location: Aligarh, Uttar Pradesh

Job DI:RP1082

Locations: Bangalore, Pune, Gurugram, Chennai, Mohali, Panchkula, or Dehradun (Currently work from home)

Notice period: Immediate to 2 weeks

Responsibilities:

• Required experience is 4+ years
• Designing and developing user interfaces using Angular8+ best practices.
• Adapting interface for modern internet applications using the latest front-end technologies.
• Writing JavaScript, CSS, and HTML.
• Developing product analysis tasks.
• Making complex technical and design decisions for Angular projects.
• Developing application codes and unit tests in Angular, and Rest Web Services.
• Consulting with the design team.
• Ensuring high performance of applications and providing support.

About Us:

Mobile programming LLC is a US-based digital transformation company. We help enterprises transform ideas into innovative and intelligent solutions, governing the Internet of Things, Digital Commerce, Business Intelligence Analytics, and Cloud Programming. Mobile programming is SAP Preferred Vendor, Apple Adjunct Partner, Google Empaneled Mobile Vendor, and Microsoft Gold Certified Partner.